Patent Abstract:
A monitoring system is disclosed for acquiring output activity, utilization capacity and/or effluent data from an facility on a facility-by-facility and/or an industry-by-industry basis. The system is designed to generate a plant and/or industry output activity database that is updated on a continuous, near continuous, periodic and/or intermittent basis so that subscribers are apprised of changes in plant or overall industry output. A clearing house is also disclosed for distributing the acquired data to subscribers to aid in analyzing, predicting trends, pricing, maintaining, adjusting, minimizing, and/or maximizing individual plant or overall industry output.

Full Description:
RELATED APPLICATIONS 
     This application claims priority to PCT Patent Application Serial No. PCT/US2006/32411 filed 17 Aug. 2006 (Aug. 17, 2006 or Jun. 6, 2006), which claim priority to U.S. Provisional Application Ser. No. 60/708,990 filed 17 Aug. 2005. 
    
    
     BACKGROUND OF THE INVENTION 
     1. Field of the Invention 
     The present invention relates to a system and method for monitoring industrial plant activity and to a system and method for using the monitoring data to stabilize plant and industrial productivity, to maximize plant and overall industrial productivity, to track and evaluate plant and industrial productivity, and/or to develop global data dissemination methodologies and/or to develop global industrial responses to natural or man-made industry disruptions. 
     More particularly, the present invention relates to a system and method for monitoring industrial plant activity, where the method includes imaging plant stacks and/or effluent plumes and relating data derived from the images to an index of plant activity. This invention also relates to a system and method for using the monitoring data to stabilize plant and industrial productivity, to maximize plant and overall industrial productivity, to track and evaluate plant and industrial productivity, and/or to develop global data dissemination methodologies and/or to develop global industrial responses to natural or man-made industry disruptions, where the method includes packaging the plant activity data so that industrial participants and governmental regulatory agencies can change plant and/or industrial output and productivity to adjust, stabilize and/or maximize output of desired industries. 
     2. Description of the Related Art 
     Camera and other detection system designed to image plant effluents and thermal emissions have been used for many years to analyze thermal output and effluent compositions for environmental, operational and emission control. Many of these systems are designed to determine effluent plume composition and effluent plume disbursement. However, such systems have not been used to monitor plant output, down time, cycle time, disruptions, etc. in a real time or near real time so that industry and government can better manage overall output and maintain adequate levels of goods and services and so governments, brokers and analysts can be forecast demand and supply economics. 
     Thus, there is a need in the art for a system and method for monitoring stack and/or effluent plumes and relating data derived therefrom to a measure of plant productivity and industry productivity and packaging the plant and industry productivity data into a format for instantaneous, periodic or intermittent distribution to broker, analyst, industrial and governmental organizations. 
     SUMMARY OF THE INVENTION 
     Systems 
     The present invention provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility and/or a unit and/or units thereof to obtain, produce, store and transmit image data. The system also includes (2) an analysis subsystem for converting the image data into plant output activity data or capacity utilization data. 
     The present invention also provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility or units thereof to obtain, produce, store and transmit image data. The system also includes (2) a data processing subsystem capable of correcting the image data for existing environmental factors. The system also includes (3) an analysis subsystem for converting the corrected image data into plant output activity or capacity utilization data. 
     The present invention also provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility or units thereof to obtain, produce, store and transmit image data. The system also includes (2) an analysis subsystem for converting the image data into plant output activity or capacity utilization data. The system also includes (3) an accumulation subsystem adapted to accumulate the plant output activity or capacity utilization data. 
     The present invention also provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility or units thereof to obtain, produce, store and transmit image data. The system also includes (2) an analysis subsystem for converting the image data into plant output activity or capacity utilization data. The system also includes (3) an accumulation subsystem adapted to accumulate the plant output activity or capacity utilization. The system also includes (4) a trend subsystem adapted to determine trends in plant activity or capacity utilization data. 
     The present invention also provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility or units thereof to obtain, produce, store and transmit image output activity or capacity utilization data. The system also includes (2) a data processing subsystem capable of correcting the image output data for existing environmental factors. The system also includes (3) an analysis subsystem for converting the corrected image data into plant output activity or capacity utilization data. The system also includes (4) an accumulation subsystem adapted to accumulate the plant output activity or capacity utilization data. The system also includes (5) a trend subsystem adapted to determine trends in plant activity or capacity utilization data. 
     The present invention also provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility or units thereof to obtain, produce, store and transmit image output activity or capacity utilization data. The system also includes (2) an analysis subsystem for converting the image data into plant output activity or capacity utilization data. The system also includes (3) an accumulation subsystem adapted to accumulate the plant output activity or capacity utilization data. The system also includes (4) a trend subsystem adapted to determine trends in plant output activity or capacity utilization data. The system also includes (5) a report subsystem designed to report plant and/or industry output capacity, capacity utilization, and overall plant or industrial trends to end users. 
     The present invention also provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility or units thereof to obtain, produce, store and transmit image output activity or capacity utilization data. The system also includes (2) a data processing subsystem capable of correcting the image output activity or capacity utilization data for existing environmental factors. The system also includes (3) an analysis subsystem for converting the corrected image output data into plant output capacity data. The system also includes (4) an accumulation subsystem adapted to accumulate the plant output capacity data. The system also includes (5) a trend subsystem adapted to determine trends in plant output data and a report subsystem designed to produce an industry survey of industrial capacity, maximum output, and/or output trends. 
     The present invention also provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility or units thereof to obtain, produce, store and transmit image output data. The system also includes (2) an analysis subsystem for converting the image data into plant output capacity data. The system also includes (3) an accumulation subsystem adapted to accumulate the plant output capacity data, a trend subsystem adapted to determine trends in plant output data. The system also includes (4) a report subsystem designed to produce an industry survey of industrial capacity data. maximum output, and output trends. The system also includes (5) an adjustment subsystem designed to adjust individual facility output to adjust and/or maximize overall all industrial output. 
     The present invention also provides a system for monitoring and determining plant output activity or capacity utilization including (1) an imaging subsystem capable of imaging stacks of and/or effluent plumes generated by an industrial facility or units thereof to obtain, produce, store and transmit image output data. The system also includes (2) a data processing subsystem capable of correcting the image output data for existing environmental factors. The system also includes (3) an analysis subsystem for converting the corrected image data into plant output capacity data. The system also includes (4) an accumulation subsystem adapted to accumulate the plant output capacity data. The system also includes (5) a trend subsystem adapted to determine trends in plant output data. The system also includes (6) a report subsystem designed to produce an industry survey of industrial capacity, maximum output, and/or output trends. The system also includes (7) an adjustment subsystem designed to adjust individual facility output to adjust and/or maximize overall all industrial output. 
     In all of the above systems, the imaging subsystem can be adapted to image stack plumes to determine temperature and compositional profiles of the plume intermittently, periodically, semi-continuously, or continuously. Thermal and compositional data can either be obtained using a single camera system with different filters that select light characteristic of a given atomic and/or molecular species or using composition specific cameras or sensors in parallel or series. In the case of a single camera system, the imaging system can include a series of filter that are intermittently, periodically or continuously interchanged so that each image type is acquired on an intermittent, periodic or continuous basis. It should be recognized that each data collection for each different filter can be continuously collected or collected over a period of time and if over a period of time, each acquisition period can be the same of different. It should also be recognized that operating in a continuous switching mode does not mean that the collected data for each filter is temporally continuous (clearly when one image is being collected, the other images are not), but that each image type is being collected in a continuous rotation during a given monitoring period. Such a continuous switching mode of operation can be contrasted with a mode where one image type is collected continuously, except for intermittent or periodic collections of the other image types. Thus, the data from the first image type will be temporally much more complete, save for the time required to switch from its filter to a second filter, to collect a data set or image from the second filter and switch back, while the data from the second image type will be intermittent or periodic, with large temporal gaps between the collected data sets or images. Clearly, the data from the first image type will be periodic if the data from the second image type is periodic, but the first data set will have only small temporal data gaps, while the second data set will have large temporal data gaps. 
     For imaging subsystems having multiple detectors, cameras or sensors, the subsystem can either utilized multiple images (e.g., each camera or sensor can collect its own light) or the subsystem can include one or more beam splitters capable of splitting a single image into a plurality of images. Thus, a single image can be used by all detectors or the number of light collections, images, can be less than or equal to the number of detectors in the imaging subsystem. It should be recognized that the detectors, cameras or sensors convert incident light in an electronic signal that is capable of being analyzed. Generally, the initial electronic signal is an analog signal that is converted into a digital system prior to analyzing the data. 
     Methods 
     The present invention provides a method for monitoring and determining plant output activity or capacity utilization including the step of (1) imaging or acquiring image data of stacks of and/or effluent plumes generated by an industrial facility and/or a unit and/or units thereof. Once the image data has been acquired, the method also includes the step (2) analyzing or converting the image data into plant output activity or capacity utilization data. 
     The present invention also provides a method for monitoring and determining plant output activity or capacity utilization including the step of (1) imaging or acquiring image data of stacks of and/or effluent plumes generated by an industrial facility and/or a unit and/or units thereof. Once the image data has been acquired, the method also includes the step (2) processing the image data to correct the image data for existing environmental factors. After image correction, the method also includes the step (3) analyzing or converting the corrected image data into plant output activity or capacity utilization data. 
     The present invention also provides a method for monitoring and determining plant output activity or capacity utilization including the step of (1) imaging or acquiring image data of stacks and/or effluent plumes generated by an industrial facility or units thereof. Once the image data has been acquired, the method also includes the step (2) analyzing or converting the image data into plant output activity or capacity utilization data. After data conversion, the method also includes the step of (3) accumulating the plant output activity or capacity utilization data. After data accumulation, the method also includes the step of (4) generating data trends derived from the plant output activity or capacity utilization data. 
     The present invention also provides a method for monitoring and determining plant output activity or capacity utilization including the step of (1) imaging or acquiring image data of stacks and/or effluent plumes generated by an industrial facility or units thereof. Once the image data has been acquired, the method also includes the step (2) correcting the image data for existing environmental factors. After image data correction, the method also includes the step (3) converting the corrected image data into plant output activity or capacity utilization data. After data conversion the method also includes the step (4) accumulating the plant output activity or capacity utilization data over time. After data accumulation, the method also includes the step (5) generating trends in plant output activity or capacity utilization data. 
     The present invention also provides a method for monitoring and determining plant output activity or capacity utilization including the step of (1) imaging or acquiring image data of stacks and/or effluent plumes generated by an industrial facility or units thereof. Once the image data has been acquired, the method also includes the step (2) converting the image data into plant output activity or capacity utilization data. After data conversion, the method also includes the step (3) accumulating the plant output activity and capacity utilization data. After data accumulation, the method also includes the step (4) generating trends in plant output activity or capacity utilization data and (5) generating reports derived from the plant output activity or capacity utilization and generated trends for end users. 
     The present invention also provides a method for monitoring and determining plant output activity or capacity utilization including the step of (1) imaging or acquiring image data of stacks and/or effluent plumes generated by an industrial facility or units thereof. Once the image data has been acquired, the method also includes the step (2) correcting the image data for existing environmental factors. After data correction, the method also includes the step (3) converting the corrected image data into plant output activity or capacity utilization data. After data conversion, the method also includes the step (4) accumulating the plant output activity or capacity utilization data over time. After data accumulation, the method also includes the step (5) generating trends in plant output activity and capacity utilization data and (6) generating reports derived from the plant output activity or capacity utilization and generated trends for end users. 
     The present invention also provides a method for monitoring and determining plant output activity or capacity utilization including the step of (1) imaging or acquiring image data of stacks and/or effluent plumes generated by an industrial facility or units thereof. Once the image data has been acquired, the method also includes the step (2) converting the image data into plant output activity or capacity utilization data. After data conversion, the method also includes the step (3) accumulating the plant output activity or capacity utilization data over time. After data accumulation, the method also includes the step (4) generating trends in plant output activity or capacity utilization data and (5) generating reports derived from the plant output activity or capacity utilization and generated trends for end users. The method can also include the step of (6) adjusting individual facility output to adjust and/or maximize overall all industrial output or any part thereof. 
     The present invention also provides a method for monitoring and determining plant output activity or capacity utilization including the step of (1) imaging or acquiring image data of stacks and/or effluent plumes generated by an industrial facility or units thereof. Once the image data has been acquired, the method also includes the step (2) correcting the image output data for existing environmental factors. After data correction, the method also includes the step (3) converting the corrected image data into plant output activity or capacity utilization data. After data conversion, the method also includes the step (4) accumulating the plant output activity or capacity utilization data over time. After data accumulation, the method also includes the step (5) generating trends in the plant output activity or capacity utilization data and (6) generating reports derived from the plant output activity or capacity utilization and generated trends for end users The method can also include the step of (7) adjusting individual facility output to adjust and/or maximize overall all industrial output or any part thereof. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The invention can be better understood with reference to the following detailed description together with the appended illustrative drawings in which like elements are numbered the same: 
         FIG. 1A  depicts a block diagram of an embodiment of a plant monitoring system of this invention; 
         FIG. 1B  depicts a block diagram of another preferred embodiment of a plant monitoring system of this invention; 
         FIG. 1C  depicts a side view of a system of either  FIG. 1A  or  FIG. 1B ; 
         FIGS. 1D-E  depict two views of another embodiment of mount assembly of this invention; 
         FIG. 2A  depicts a block diagram of another embodiment of a plant monitoring system of this invention; 
         FIG. 2B  depicts a block diagram of another preferred embodiment of a plant monitoring system of this invention; 
         FIGS. 3A&amp;B  depict a block diagram of another embodiment of an imaging apparatus of this invention: 
         FIG. 3C  depicts an imaging apparatus of  FIGS. 3A&amp;B  mounted on a pole: 
         FIG. 3D  depicts a cross-sectional view of the mount of  FIG. 3C : 
         FIG. 4  depicts an embodiment of an imaging apparatus with multiple filters of this invention, 
         FIG. 5  depicts an embodiment of a multiple camera imaging apparatus of this invention: 
         FIG. 6  depicts an embodiment of an imaging apparatus with a beam splitter of this invention, 
         FIG. 7  depicts another embodiment of an imaging apparatus with a compound beam splitter of this invention: 
         FIG. 8  depict a block diagram of an embodiment of a multi-site system of this invention: 
         FIG. 9  depicts a conceptual flow chart of a process of initializing, calibrating and establishing a one hundred percent output capacity value for a given plant or plant unit; 
         FIG. 10  depicts a conceptual flow chart of a process a plant output monitoring, transmitting and collecting process of this invention; 
         FIG. 11  depicts a conceptual flow chart of another process a plant output monitoring, transmitting and collecting process of this invention; 
         FIGS. 12A-C  depict three conceptual flow charts of three subprocesses for processing an acquired image to obtain pixel density data; 
         FIG. 13  depicts a plot of data collected form a three stack facility showing the thermal data image of the three stack in the facility from an IR camera located approximately 1 km from the facility; and 
         FIG. 14  depicts a plot of daily output activity for the facility in  FIG. 13 . 
     
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
     The inventors have found that a system and method can be constructed that uses IR cameras to determine intermittent, periodic, near instantaneous, and/or instantaneous plant capacities of plants of a desired industry. The system and method are designed to utilize data obtained from an IR camera imaging exhaust plumes from exhaust outputs such as stacks outputs. These images are designed to be obtained on an intermittent, periodic, near instantaneous, and/or instantaneous basis and plume size data are then related to plant activity. The activity data is then used to project overall unit, plant, regional, national, or industrial output to allow for intermittent, periodic, near instantaneous, and/or instantaneous adjustments to overall industrial output so that industrial output across the spectrum can be evened out and/or maximized. The system and method is designed to accumulate data for a sufficient time to determine a base line for determining a particular plant&#39;s activity profile so that plume image data can be directly related to plant output within a given confidence level. The system is also designed to provide end users to access unit, plant, regional, industry wide, etc. data on output activity, capacity utilization, emissions, effluent volumes, etc. for forecasting purposes, supply and demand analyses and other industrial indicators. All of the data analyses performed for end users is subject to pricing for revenue generation purposes. 
     The present invention relates broadly to a system for monitoring and determining plant output capacity including an imaging subsystem capable of imaging effluent plumes generated by an industrial facility or units thereof and producing image output data and an analysis subsystem for converting the image data into plant output capacity data. 
     The present invention provides a method for monitoring and determining plant output capacity including an imaging subsystem capable of imaging effluent plumes generated by an industrial facility or units thereof and producing image output data and an analysis subsystem for converting the image data into plant output capacity data. 
     In order to monitor plant output activity or capacity utilization, a detection device is adapted to observe and/or monitor one property or a plurality of properties of the plant that can be related to plant output activity or capacity utilization. One such property of a plant that can be monitored at a distance is heat associate with thermal stacks and/or stack exhaust effluent streams. For plants that exhaust gases, the detection device is adapted to image an exhaust stack and/or a plume associated with the exhaust stack. The area/volume of the exhaust plume or the stack as imaged by an imaging apparatus such as an IR camera is captured at a given moment in time, continuously captured, or accumulated for a period of time at regular intervals to establish a plant base line or a mean average value of plant output activity or capacity utilization. In the case continuous imaging apparatuses, continuous images are taken over a short period of time at regular intervals, where the images taken over the short periods of time are accumulated to form a single composite image. If the base line or mean average value does not vary by more than a set amount, then the mean average value is set to a 100 percent value. As monitoring continues, deviations from the 100 percent value will either indicate a reduce in plant output or an increase in plant output. If the increase is maintained for a non-temporary time, the a new 100 percent value is established. If the 100 percent value originally collected is consistent over time, then changes in the measured value will represent disruptions in the plant output, generally decreases in plant output. If the system is designed to measure non-nuclear power generation facilities, then the data can be used to predict disruptions in the grid and to adjust individual plant outputs to maintain a given level of overall output, to maximize overall output or to adjust overall output to some desired level. In the case of a nuclear power generation facility, the monitor is designed to monitor output water used in the secondary coolant loop in a nuclear power facility or in the effluent water to monitor water temperature, output and to look for detectable radio-pollutants. 
     The system is designed to monitor plant activity from a distance. Generally, the distance can be between about 25 m (meters) to about 10 km (kilometers) depending on the type of imaging device being utilized. Preferably, the distance is between about 100 m and about 5 km and particularly between about 100 m and about 1 km. 
     When the system first starts monitoring a given plant, it will not know whether the plant is operating a full capacity. Thus, the system is designed to accumulate data over a sufficient period to time to ascertain whether a given plant output remains substantially constant over the period of time, where the term substantially constant means that the plant output does not deviated more than about 10% over the period of time. In another preferred embodiment, the plant output does not deviate more than about 5% over the period of time. The in yet another preferred embodiment, the plant output does not deviate more than about 1% over the period of time. The period of time is generally a month, preferably, two weeks and, particularly, one week. Once the output of a plant has been determined, its 100 percent is entered into a database. 
     Generally, plant output data is acquired periodically over the period of time. The period for data acquisition is generally between the acquisition rate of the imaging device, if not continuous, and about 1 day. In a preferred embodiment, the acquisition rate is between about 1 second and 1 hour. In yet another embodiment, the acquisition rate is between about 1 minute and about 1 hour. In yet another embodiment, the acquisition rate is between about 5 minutes and about 45 minutes. In yet another embodiment, the acquisition rate is between about 10 minutes and about 30 minutes. In yet another embodiment, the acquisition rate is between about 10 minutes and about 20 minutes. In yet another embodiment, the acquisition rate is between about 15. This same data acquisition rate is also used for continued monitoring. 
     Data is then collected for plants within a given industry to form a database for that industry. Once the database is constructed, monitoring allows the system to detect on an instantaneous, a near instantaneous, periodic or intermittent basis alterations in the output of each plant in the given industry. Upon the detection of a disruption in the overall output of a given industry, information associated with the disruption can be sent to local, state and federal oversight agencies and the data can be distributed to other plants within the given industry of the change in overall capacity so that the other plants can adjust their output to compensate for the disruption. 
     The present invention also relates to a business method for detecting, tracking, compiling and distributing information on an industry-by-industry basis to permit any given industry to adjust specific plant activities so that an overall industrial output can be maintained, adjusted and/or maximized. The information will, of course, be associated with a fee associated with the monitoring, tracking, compiling and distributing of the acquired data. Thus, the present invention also relates to an industry output clearinghouse, where members of a given industry will subscribe to the clearinghouse and will be given data on a continuous, semi-continuous, periodic and/or intermittent basis concerning overall industrial output, output trends, specific plant output data and/or alters signifying changes in the output of one, some or all plants within the given industry. The clearinghouse data will better allow industrial players to determine overall industrial needs and treads and to better adjust individual plant outputs to maintain, adjust, minimize and/or maximize industrial overall output or activity. The clearinghouse data will also be able to identify quickly changes in a specific plant output such as a plant undergoing a de-bottlenecking operations or other modifications to increase plant output. The clearinghouse will give industry players quick and reliable data for maximizing profits, output and/or expenditures to increase specific plant capacity. The clearinghouse data will also show longer term trends in given industries and be able to identify early regional output disruptions or regions where additional capacity is needed to keep up with demand. The data will also allow industrial players to better positions its output capacity to maximize return on investment and to maximize profits and minimize losses. 
     Suitable IR cameras include, without limitation, IR cameras manufactured by Honeywell Corporation, Thermoteknix Systems Ltd of Cambridge, England (Visir camera, Miric 500, Miric 11, etc.), Infrared Solutions Inc. of Minneapolis, Minn., USA (IR-160), FLIR Systems, Inc. of North Billerica, Mass., USA (A series infrared camera, Thermovision 2000, Thermovision Ranger II and Sentry, etc.), Diversified Optical Products, Inc. of Salem, N.H., USA (Lanscout 50, 75, 125, Lanscout 60/180, Range Pro 50/250, etc.), Leake Company of Dallas, Tex., USA (Thermal Sentry), Spirit Solutions, Inc., and other similar IR camera systems. Preferably, the cameras employ an infrared array detection system. Infrared array detections systems are available from Raytheon Company of Waltham, Mass., USA, DRS Technologies, Inc., Santa Barbara Research Center, University of California at Santa Barbara, Cal Sensors, Inc. of Santa Rosa, Calif., USA, HGH Systèmes Infrarouges ZAC, IGNY, FRANCE, ULIS of Veurey Voroize France, and other manufactures that make IR array detectors. It should be recognized that there are different array technologies. Several of these technologies include Amorphous Silicon (ASi) Focal Plane Array (FPA) and Barium Strontium Titanate (BST) FPA. Currently, the inventors have had their best results with the BST FPA array. 
     Suitable compositional detectors include, without limitation, any detector that is capable of detecting light characteristic of a given atomic and/or molecular system. Generally, the detectors are optimized for a particular wavelength of light and filters are used to eliminate light not in the detectors spectral sensitive regions. However, a detector can be used with broad and uniform response characteristics, with light restriction occurring by judicious selection of filters designed to pass light of a desired wavelength range, where the range is characteristic of a certain chemical compound of class of chemical compounds that have a similar optical emission spectrum within the range. One of ordinary skill in the art are aware of such filters that are selectively sensitive to hydrocarbon optical (Visible, IR, nearIR, microwave, etc.) signatures, nitrogen oxide optical signatures, sulfur oxide optical signatures, water (liquid and/or vapor) optical signatures, carbon oxide optical signatures, etc. 
     Suitable digital processing units include, without limitation, computers having an processing chip and memory chips manufactured by Intel, Motorola, AMD, Cyrix, Erickson, or mixtures or combinations thereof. The digital processing units include peripheral such as, without limitation, internal and/or external mass storage devices such as disk drives, solid state disk drives, tape drives, memory stick, memory cards, etc., communication hardware and software, printers, scanners, etc. 
     Single Imaging Subsystem—Plume Imaging 
     Referring now to  FIG. 1A , a preferred embodiment of an IR imaging system of this invention, generally  100 , is shown to include an imaging assembly  102 . In one embodiment, the imaging assembly  102  includes a pole  104 , a mount assembly  106  disposed on a top  108  of the pole  104  and an imaging unit  110  mounted on the mount assembly  106 . One of ordinary skill in the art should recognize that the imaging assembly  102  can extend from the ground, from the top of a building, or from any other object that allows the imaging unit  110  to have a clear line of sight image of the target plant or plant stacks that are used to obtain information on plant or plant unit activity and to obtain other information including a monitor of the type of materials being exhausted from the stacks. Of course, if the effluent is a liquid, such as waste water, the imaging unit  110  would be situated to image the effluent. If effluent compositional data are being collected as well as plant or plant unit output capacity data, then the imaging unit may include more than one imaging camera, each having a different filter or the imaging unit is capable of collecting data over a large frequency range and the resulting image data can be mathematically filtered. 
     The imaging assembly  102  is located a specific distance from a plant  112 , which is shown to have four exhaust stacks  114   a - d , which are monitored to determine the plant&#39;s output at any given time. The imaging unit  110  is positioned so that the imaging unit  110  can acquire an image  116  which includes four active regions  118   a - d  associated with the four stacks  114   a - d , respectively. Of course, if it is determined that the four stack produce equal plant capacity data (each stack accounts for ¼ of the plant output), then only one active region need be analyzed. 
     The imaging system  100  also includes a remote processing center  120  in data communication with the imaging unit  110  via a data flow pathway  122 . The data communication can be wireless or wired. If wireless, the data communication can line of sight or more preferably the signal can be transmitted via cell phone networks or satellite networks onto a distributed network such as the internet or a secured distributor network. 
     Multiple Imaging Subsystem—Plume Imaging 
     Referring now to  FIG. 1B , another preferred embodiment of an IR imaging system of this invention, generally  150 , is shown to include four imaging assemblies  152   a - d . In one embodiment, each of the imaging assemblies  152   a - d  includes a pole  154   a - d , a mount assembly  156   a - d  disposed on a top  158   a - d  of the pole  154   a - d  and an imaging unit  160   a - d  mounted on the mount assemblies  156   a - d , respectively. One of ordinary skill in the art should recognize that the imaging assemblies  152   a - d  can extend from the ground, from the top of a building, or from any other object that allow the imaging units  160   a - d  to have a clear line of sight image of the plant stacks that are used to obtain information on plant or plant unit activity and to obtain other information including a monitor of the type of materials being exhausted from the stacks. Of course, if the effluent is a liquid, such as waste water, the imaging units  160   a - d  would be situated to image the effluent. If effluent compositional data are being collected as well as plant or plant unit output capacity data, then the imaging units may include more than one imaging camera, each having a different filter or the imaging units are capable of collecting data over a large frequency range and the resulting image data can be mathematically filtered. 
     Each of the imaging assemblies  152   a - d  is located a specific distance from a plant  162 , which is shown to have four exhaust stacks  164   a - d , so that the assembly  152   a  is focused on the stack  164   a , the assembly  152   b  is focused on the stack  164   b , the assembly  152   c  is focused on the stack  164   c , and the assembly  152   d  is focused on the stack  164   d . This configuration allows each stack to be separating monitored which can increase the amount and type of information extractable from the images. This configuration is especially useful when the output stack of interest are incapable of being efficiently imaged from a single location or the distance from the imaging unit prevents ready complete imaging as in  FIG. 1A . 
     Each of the imaging units  160   a - d  is positioned so that each of the imaging unit  160   a - d  can acquire an image  166   a - d  which includes a stack active region  168   a - d , respectively. 
     The imaging system  150  also includes a remote processing center  170  in data communication with the imaging units  160   a - d , via data flow pathways  172   a - d . The data communication can be wireless or wired. If wireless, the data communication can line of sight or more preferably the signal can be transmitted via cell phone networks or satellite networks onto a distributed network such as the internet or a secured distributor network. 
     Imaging Subsystem Views—Plume Imaging 
     Referring now to  FIG. 1C , a side view of the plant configuration of  FIGS. 1A&amp;B  is shown. The view show an imaging assembly  102  or  152  and the distance D to the stacks and the resulting vertical image positioning V resulting from a view angle A. The apparatus  100  also includes a processing unit  170  in electrical communication via a communication pathway  172  (which can be a cable supporting wired based data communication or a wireless format supporting wireless data communication) with the imaging unit (camera)  110 . The processing unit  170  generally includes computer hardware and software and communication hardware and software need to capture, store, analyze and/or transmit the image data captured by the imaging unit  110  to the central processing center  120 . 
     Referring now to  FIGS. 1D-E , a preferred embodiment of the mount assembly  106  or  156   a - d  is shown to include a portion  124  of the pole  104  or  154   a - d . Mounted on the top  108  or  158   a - d  of the pole  104  or  154   a - d , respectively, is mount  126  supporting a shaft  128 , which is attached to the imaging unit  110  or  160   a - d  via a ball joint  130 . The ball joint  130  allows the imaging unit  110  or  160   a - d  to be adjusted up and down  132  as shown in  FIG. 1D  or side to side  134  as shown in  FIG. 1E . Of course, the imaging unit  110  or  160   a - d  can be mounted on the mount  126  by any assembly that permits the imaging unit  110  or  160   a - d  to be adjusted in two orthogonal directions, e.g., up and down and side to side. Moreover, the assembly can be motorized so that the imaging unit can be adjusted remotely. Such remote adjust capability can be used to allow the imaging unit to image specific areas of interest. Furthermore, the imaging unit aperture can be motorized under remote control so that the imaging unit can be controlled to image a specific area and to limit the image being captures. The imaging unit can also be equipped with magnifying lens to further refine the imaged area. 
     Single Imaging Subsystem—Stack and Plume Imaging 
     Referring now to  FIG. 2A , another embodiment of an IR imaging system of this invention, generally  200 , is shown to include an imaging assembly  202 . The imaging assembly  202  includes a pole  204 , a mount assembly  206  disposed near a top  208  of the pole  204  and an imaging unit  210  mounted on the mount assembly  206 . One of ordinary skill in the art should recognize that the imaging assembly  202  can extend from the ground, from the top of a building, or from any other object that allows the imaging unit  210  to have a clear line of sight image of the target plant or plant stacks that are to be used to obtain information on plant or plant unit activity and to obtain other information including monitoring the type of materials being exhausted from the stacks. Of course, if the effluent is a liquid, such as waste water, the imaging unit  210  would be situated to image pipe near its exit and the effluent issued therefrom. If effluent compositional data are being collected as well as plant or plant unit output activity and capacity utilization data, then the imaging unit may include more than one imaging camera and/or detector, each having a different filter or the imaging unit is capable of collecting data over a large frequency range and the resulting image data can be physically or mathematically filtered pre- or post-data acquisition. 
     The imaging assembly  202  is located a specific distance from a plant  212 , which is shown to include four exhaust stacks  214   a - d , which are monitored to determine the plant&#39;s output activity or capacity utilization at any given time or time interval. The imaging unit  210  is positioned so that the imaging unit  210  can acquire an image  216  which includes four the four stacks  214   a - d  and four active regions  218   a - d  associated with the four stacks  214   a - d , respectively. Of course, if it is determined that the four stack produce equal plant output activity or capacity utilization data (each stack accounting for ¼ of the plant output), then only one stack and/or active region need be analyzed. 
     The imaging system  200  also includes a remote data storage, processing and analyzing center  220  in data communication with the imaging unit  210  via a data flow pathway  222 . The data communication can be wireless or wired. If wireless, the data communication can line of sight or more preferably the signal can be transmitted via cell phone networks or satellite networks onto a distributed network such as the internet or a secured distributor network. 
     The imaging unit  210  also includes a power conditioning unit  224  connected to a power grid (not shown) and to the imaging unit  210  via a power supply line  226 . The imaging unit  210  also includes a lightening rod  228  connected to a ground  230  by a ground wire  232 . The assembly  202  also includes a protective top shield  234 . 
     Multiple Imaging Subsystem—Stack and Plume Imaging 
     Referring now to  FIG. 2B , another embodiment of an IR imaging system of this invention, generally  250 , is shown to include four imaging assemblies  252   a - d . In one embodiment, each of the imaging assemblies  252   a - d  includes a pole  254   a - d , a mount assembly  256   a - d  disposed on a top  258   a - d  of the pole  254   a - d  and an imaging unit  260   a - d  mounted on the mount assemblies  256   a - d , respectively. One of ordinary skill in the art should recognize that the imaging assemblies  252   a - d  can extend from the ground, from the top of a building, or from any other object that allow the imaging units  260   a - d  to have a clear line of sight image of the plant stacks that are used to obtain information on plant or plant unit activity and to obtain other information including a monitor of the type of materials being exhausted from the stacks. Of course, if the effluent is a liquid, such as waste water, the imaging units  260   a - d  would be situated to image the effluent. If effluent compositional data are being collected as well as plant or plant unit output capacity data, then the imaging units may include more than one imaging camera, each having a different filter or the imaging units are capable of collecting data over a large frequency range and the resulting image data can be mathematically filtered. 
     Each of the imaging assemblies  252   a - d  is located a specific distance from a plant  262 , which is shown to have four exhaust stacks  264   a - d , so that the assembly  252   a  is focused on the stack  264   a , the assembly  252   b  is focused on the stack  264   b , the assembly  252   c  is focused on the stack  264   c , and the assembly  252   d  is focused on the stack  264   d . This configuration allows each stack to be separating monitored which can increase the amount and type of information extractable from the images. This configuration is especially useful when the output stack of interest are incapable of being efficiently imaged from a single location or the distance from the imaging unit prevents ready complete imaging as in  FIG. 2A . 
     Each of the imaging units  260   a - d  is positioned so that each of the imaging unit  260   a - d  can acquire an image  266   a - d  which includes the stacks  264   a - d  and stack active regions  268   a - d , respectively. 
     The imaging system  250  also includes a remote processing center  270  in data communication with the imaging units  260   a - d , via data flow pathways  272   a - d . The data communication can be wireless or wired. If wireless, the data communication can line of sight or more preferably the signal can be transmitted via cell phone networks or satellite networks onto a distributed network such as the internet or a secured distributor network. 
     The imaging units  260   a - d  also include power conditioning units  274   a - d  connected to a power grid (not shown) and to the imaging units  260   a - d  via power supply lines  276   a - d . The imaging units  260   a - d  also include lightening rods  278   a - d  connected to grounds  280   a - d  by ground wires  282   a - d . The assemblies  252   a - d  also includes protective top shields  284   a - d.    
     Alternate Single Imaging Subsystem 
     Referring now to  FIGS. 3A&amp;B , another embodiment of an imaging apparatus of this invention, generally  300 , is shown to include a housing  302  having a front half  304  including a handle  306  attached to a front surface  308  thereof and a back half  310  including a back surface  312  adapted to permit the housing  302  to be mounted on a mount as shown in  FIG. 3C . The housing  302  also includes a pair of hinges  314  adapted to permit the housing  302  to be opened by pulling on the handle  306 . Of course, the handle can and generally will be a locking handle which requires a key for entry. Alternatively, the housing  302  can be equipped with a keyless entry system that is can be activated by a remote control or via commands issued from a central control facility to prevent unauthorized entry into the apparatus  300 . 
     The front surface  308  include an aperture  316  through which light can pass through a camera lens  318 . The apparatus  300  also includes an antenna  320  mounted on the surface  308  near its top  322  having a wire  324  leading to communication hardware to be described below. 
     Once the apparatus  300  is opened as shown in  FIG. 3B , the apparatus  300  includes a camera  326  mounted in the front half  304  of the housing  302  so that its lens  308  centered in the aperture  316 . The apparatus  300  also includes a digital processing unit (DPU)  328 , a video analog to digital converter  330 , and a communication device  332  such as a PIMCIA slot  334  with a mobile access card  336 . 
     The DPU  328  is powered by a DPU power supply  338  mounted in the back half  310  of the housing  302  via a DPU power cable  340 ; while the camera  326  is powered by a camera power supply  342  mounted in the back half  310  of the housing  302  via a camera power cable  344  The apparatus  300  also includes two fans  346   a &amp; b  mounted in the back half  310  of the housing  302 . 
     The DPU  328  is in two-way communication with the camera  326  via a first electronic connection  348 , with the converter  330  via a second electronic connection  350  and with the communication device  332  via a first electronic connection  352 . The communication device  332  is also connected to the antenna  320  via the wire  324 , where the antenna is adapted to permit robust communication between the apparatus  300  and a remote command and control site located remote from the site of installation of the apparatus  300  via satellite, microwave or other broadband or narrow band technology capable of transmitted data from the apparatus  300  to a remote site. Alternatively, the apparatus  300  could have a cable or fiber optics direct connection between the apparatus  300  and the remote control and command center. 
     The apparatus  300  also includes a power strip  354  connected to an external power conditioner and uninterrupted power supply  356  via a power in cable  358 . The power supply  356  can be an outdoor uninterrupted power supply (UPS) with 400 w output for up to 18 hr, 12-14 hr actual. The DPU power supply  338  derives its power from the strip  354  via a first strip cable  360 ; the camera power supply  342  derives its power from the strip  354  via a second strip cable  362 ; and the two fans  346   a &amp; b  derive their power from the strip  354  via third and fourth strip cables  364   a &amp; b.    
     Referring now to  FIG. 3C , the apparatus of  FIGS. 3A&amp;B  is shown mounted on a pole  366  via a mounting apparatus  368  having two degrees of rotational freedom, up and down adjustability and in and out adjustability. The pole  366  includes a lightening rod  370  connected to a ground  372  via a ground wire  374 . 
     One embodiment of the mounting apparatus  368  includes a rotational ball-pen assembly  376  having a locking screw, set screw or thumb screw  378  is shown in  FIG. 3D . The ball-pen assembly  376  includes a ball housing  380  affixed to a up and down translation platform  382  and a ball  384  having a neck  386  affixed to a monitoring apparatus mount  387  affixed to a back surface  312  of the back half  310  of the housing  302 . The ball-pen assembly  376  permits the monitoring apparatus  300  to be tilted so that its camera aperture  316  is properly aligned with the stack or other object that the monitoring system  300  is installed to monitor (stacks, refinery units, heat exchange units, chemical reactor units, power plant water outlets, steam generation units, etc.). The translation platform  382  is adapted to translate via a groove  388  in a pole mounting plate assembly  390 . The translation platform  382  is held in place by to groove engaging screws  392 . The pole mounting plate assembly  390  includes a pole plate  394  affixed to the pole  366  and an adjustable plate  396 , which comprises the groove into which the translation platform  382  is mounted. The adjustable plate  396  is adapted to be separated from the pole plate  394  by screws  398 , which force the plates  394  and  396  to separate or come together depending on the direction the screws are turned. Other mounting apparatuses can be used as well provided that they at least permit two degrees of rotational freedom so that the camera aperture of the monitoring unit can be properly aligned with the object to be imaged. Up and down and in and out adjustability are optional, but are often found to be beneficial then installing the unit as the mounting apparatus does not have to be very precisely attached to the pool. Of course, the extent of rotation freedom will be limited by the ball-pen assembly and the size and weight of the monitoring unit, the size and weight of the mounting apparatus and other factors all within the design capability of an ordinary artisan in the field of mounting equipment on poles with differing rotational and/or translational degrees of freedom. The types of mounts that can be used are any camera or telescope mount that provides at least two rotational degrees of freedom, where translation and in and out adjustment can be made when the unit is being installed or translational adjustment can simply be an adjustable pole strapping assembly. 
     Multi-Detector Imaging Subsystem 
     Referring now to  FIG. 4 , an embodiment of an imaging apparatus with multiple filters of this invention, generally  400 , is shown to include a camera housing  402 . The camera housing  402  includes a camera  404  having an aperture  406  through which light passes into the camera&#39;s interior. The camera housing  402  also includes a four filter carousel  408  including four filters  410   a - d . The carousel  408  is mounted on a drive shaft  412  of a motor  414 . The motor  414  is adapted to change filters so that the camera can be used to view different properties of the target site such as thermal emission profiles, effluent components (S x O y , N x O y , CO 2 , hydrocarbons, water, etc. or mixtures or combinations thereof, where x is an integer having a value between 1 and 3 and y is an integer having a value between 1 and 8). The motor  414  is adapted to be controlled by the DPU  328  so that the system  300  can collect data on different properties of the site by selectively switching between filters. The apparatus  400  can be used with any of the imaging apparatuses of  FIGS. 1-3 . 
     Referring now to  FIG. 5 , an embodiment of a multiple camera imaging apparatus of this invention, generally  500 , is shown to include a housing  502 . The housing  502  includes four filters  504   a - d  and four cameras  506   a - d  having their apertures  508   a - d  aligned with the filters  504   a - d  so that light passes through the filters  504   a - d  through the apertures  508   a - d  and into the cameras  506   a - d . The cameras  506   a - d  are connected to the DPU or to the converter and then the DPU, where the DPU is designed to capture, process and transmit the captured camera data. The apparatus  500  can be used with any of the imaging apparatuses of  FIGS. 1-3 . 
     Referring now to  FIG. 6 , an embodiment of an imaging apparatus with a beam splitter of this invention, generally  600 , is shown to include a housing  602 . The housing  602  includes surface mounted two filters  604   a - b  and two single detector cameras  606   a - d  having their apertures  608   a - b  aligned with the filters  604   a - b  so that light passes through the filters  604   a - b  through the apertures  608   a - b  and into the cameras  606   a - b . The housing  602  also includes a multi-detector optical detection apparatus or camera  610  having a detector aperture  612  situated within a housing aperture  614  in the housing. Light entering through the detector aperture  612  is split into two beams  616   a - b  by a beam splitter  618 . The first light beam  616   a  passes through a first detector filter  620   a  and into a first detector  622   a , while the second light beam  616   b  passes through a second detector filter  620   b  and into a second detector  622   b . The two single channel cameras  606   a - b  and the multi-channel camera or optical detector  610  are connected to the DPU or to the converter and then the DPU, where the DPU is designed to capture, process and transmit the captured camera data. The apparatus  600  can be used with any of the imaging apparatuses of  FIGS. 1-3 . 
     Referring now to  FIG. 7 , another embodiment of an imaging apparatus with a compound beam splitter of this invention, generally  700 , is shown to include a housing  702 . The housing  702  includes a multi-detector optical detection apparatus or camera  704  having a detector aperture  706  situated within a housing aperture  708  in the housing. Light entering through the detector aperture  706  is split into four beams  710   a - d  by a compound beam splitter  712 . The first light beam  710   a  passes through a first detector filter  714   a  and into a first detector  716   a ; the second light beam  710   b  passes through a second detector filter  714   b  and into a second detector  716   b ; the third light beam  710   c  passes through a third detector filter  714   c  and into a third detector  716   c ; while the fourth light beam  710   d  passes through a fourth detector filter  714   d  and into a fourth detector  716   d . The multi-channel camera or optical detector  704  is connected to the DPU or to the converter and then the DPU, where the DPU is designed to capture, process and transmit the captured camera data. The apparatus  700  can be used with any of the imaging apparatuses of  FIGS. 1-3 . 
     Multi-Site System 
     Referring now to  FIG. 8 , an embodiment of a multi-site system of this invention, generally  800 , shown to include a center facility  802  that includes computer hardware and software, communications hardware and software and sufficient servers to support a plurality of site monitoring system  804   a - z , where the term a plurality means between 2 and a number limited only by the number of sites amenable to monitoring by this type of a system. Clearly, the upper limit can be many thousands if not many hundreds of thousands of sites. The sites  804   a - z  are in data communication with the facility  802  via communication pathways  806   a - z , which can be wired and/or wireless, but most often will be wireless. Of course, if the data is being transmitted via a commercial or private broadband wireless provider, part of the connection can be wireless and part wired, where the wired part would represent data being received wireless into an intranet (private internet) or open internet like the world wide web. 
     The data from the monitoring system  804   a - z , can be raw data, partially processed data or fully processed data. The facility  802  receives this data as is and performs would ever additional data processing required to obtain site specific data—capacity utilization or output activity data, effluent compositional data, effluent production volume data, etc. This process data is then stored on a site specific basis in database on the servers in the facility  802 . This accumulated data can then be analyzed on any combination of monitoring systems basis. Thus, if monitoring is occurring at all sites of a particular type such as power plants, then grid integrity reports can be generated to show trends, to identify problems and to predict future supply, demand and pricing. 
     The system  800  also includes a plurality of end users  808   a - z , where the end user plurality can be from 2 to a very large number into the millions of end users. Each end user  808   a - z  is are in data communication with the facility  802  via communication pathways  810   a - z , which can be wired and/or wireless, but most often will be wireless. Of course, if the data is being transmitted via a commercial or private broadband wireless provider, part of the connection can be wireless and part wired, where the wired part would represent data being received wireless into an intranet (private internet) or open internet like the world wide web. 
     Methods for Collecting, Analyzing and Distributing Plant Activity or Utilization Data 
     Referring now to  FIG. 9 , an embodiment of a process to obtain a one hundred percent plant or plant unit output capacity, generally  900 , shown as a flow chart diagram. The process  900  includes a start step  902 , which becomes active after the imaging apparatus has been installed at a desired site. After installation, the imaging unit is set up in a set step  904 , which generally involves insuring that all component of the imaging unit are working, that the imaging unit is in communication with the remote processing center and insuring that the imaging unit is functioning properly. Once the imaging unit is set up, the imaging unit is adjusted in an adjustment step  906  by rotating and/or translating the unit on its mount so that the imaging camera or cameras are property aligned with the site to be monitored. A test image is then acquired in an acquisition step  908 . The acquired image is then scanned to define active regions within the image in a define active regions step  910 . The active regions represent that part of the entire image that will be monitored in all subsequent image acquisitions and can include parts of the operational unit such as a stack, piping, heat exchange units, etc. and/or effluent streams or plumes. Once the active regions are defined, the regions are processes to produce data that can be related to plant activity, unit activity, capacity utilization, effluent production, effluent compositions, etc. in a process active regions step  912 . The results are then tested in a conditional pass acquisition test (PAT) step  914 . If the imaging unit has been adjusted so that the acquired image maximizes data collections of the target site(s) within the plant, then control is transferred along a YES branch  916  to an acquire image step  918 ; otherwise control is transferred along a NO branch  920  to the adjustment step  206 . This NO loop is continued until the data passes the conditional test  814 . The acquired image is then processed to compute a plant or unit output value in a process active regions step  922 . The value is then sent to a compare step or self-consistent value (SCV) step  924 , where the current value is compared to a previous value or a set of previous values until the values being compared differ by less than a specified percent error. If the difference is greater than the error, then control is transferred along a NO branch  926  to the acquire image step  818  for reacquisition; otherwise control is transferred along a YES branch  928  to a set 100% value step  930 . Of course, it should be recognized that the 100% is set when the unit or plant is operating at full capacity. When a unit is initially installed, there is not guarantee that the plant or unit being monitored is actually operating at 100% capacity. However, this routine can be used to set an initial 100% value. If later, the value jumps and remains that the actual 100% valve, then the 100% can be updated. This same updating may occur with the plant or unit undergoes modifications, de-bottlenecking, or any other change that can increase or decrease 100% capacity value. 
     Referring now to  FIG. 10 , an embodiment of a process to obtain output capacity data, generally  1000 , shown as a flow chart diagram. The process  1000  begins with a start step  1002 . After the routine is started, an image is acquired in an acquire image step  1004 . The acquired image is then process to extract data from the active regions within the image in a process step  1006 . The active region data is then used to compute output activity, utilization capacity and/or effluent compositional data in a compute step  1008 . The output data is then transmitted to a customer in a transmit step  1010  and a revenue is collected as a result of the transfer in a collect step  1012 . The process  900  also includes a conditional step  1014 , where the process can be stopped by an interruption in collected revenue, discontinuing of an account or by supervisor intervention. If no exit event has occurred, then controlled is transferred along a NO branch  1016  to the acquire image step  304 ; otherwise control is transferred along a YES branch  1018  to a stop step  1020 . Of course, in general, the program will not terminate, but will continue data collection and transmission until no revenue stream is obtained. However, the program could also be continued to accumulate information for periodic compilation and sale. Alternatively, the transmit step  910  can simply be a posting of the results to secure website or a secure server and the end user would simply logon into an account on the website or server and obtain the posted data. 
     Referring now to  FIG. 11 , another embodiment of a process to obtain output capacity data, generally  1100 , shown as a flow chart diagram. The process  1100  begins with a start step  1102 . After the routine is started, an image is acquired in an acquire image step  1104 . The acquired image is then process to extract data from the active regions within the image in a process step  1106 . The active region data is then used to compute output activity, utilization capacity and/or effluent compositional data in a compute step  1108 . The data is then accumulated for a period of time, either set, variable or interruption triggered in an accumulate step  1110 . Control is then transferred to a report period test (RPT) step  1112 . If the period limit or trigger has not occurred, then control is transferred along a NO branch  1114  to the acquire image step  404 ; otherwise control is transferred along a YES branch  1116  to a product output report step  1118 . Once the accumulated output report is produced, the report is transmitted to a customer in a transmit step  1120  and revenue is collected in a collect step  1122 . The process  400  also includes a conditional step  1124 , where the process can be stopped by an interruption in collected revenue, discontinuing of an account or by supervisor intervention. If no exit event has occurred, then controlled is transferred along a NO branch  1126  to the acquire image step  304 ; otherwise control is transferred along a YES branch  1128  to a stop step  1130 . Of course, in general, the program will not terminate, but will continue data collection and transmission until no revenue stream is obtained. However, the program could also be continued to accumulate information for periodic compilation and sale. Alternatively, the transmit step  1020  can simply be a posting of the results to secure website or a secure server and the end user would simply logon into an account on the website or server and obtain the posted data. 
     Referring now to  FIGS. 12A-C , three preferred embodiments of a process active region subprocess are described, generally  1200 , shown as a flow chart diagram. Looking at  FIG. 12A , the subprocess starts with an extraction step  1202 , where pixels associated with the active regions are extracted from the acquire image. Next, the “on” pixels are determined within the active regions, i.e., the pixels at containing more than a background pixel intensity or more than a threshold pixel intensity, is a determination step  1204 . The “on” pixel data are then used to output an active regions density data in an output step  1206 . The resulting “on” pixel data is then used in the compute output values steps of  FIGS. 9 ,  10  and  11 . Of course, the pixel data derived from this process can relate to thermal data or compositional data depending on the light being collected and analyzed. 
     Looking at  FIG. 12B , the subprocess starts with the extraction step  1202 , where pixels associated with the active regions are extracted from the acquire image. Next, the “on” pixels are determined within the active regions, i.e., the pixels at containing more than a background pixel intensity or more than a threshold pixel intensity, is a determination step  1204 . Once the “on” pixels are identified, then weather condition correction factors are applied to the “on” pixel count in apply step  1208 . These corrections are intended to correct the pixel data to compensate for weather conditions. The corrections factors can be determined by either data accumulated over time or from studies of acquired images under different weather conditions at constant plant output. The “on” pixel data are then used to output an active regions density data in an output step  1206 . The resulting “on” pixel data is then used in the compute output values steps of  FIGS. 9 ,  10  and  11 . Of course, the pixel data derived from this process can relate to thermal data or compositional data depending on the light being collected and analyzed. 
     Looking at  FIG. 12C , the subprocess starts with an adjust step  1210 , where the active regions are corrected for weather conditions, such as a change in wind conditions, change in temperature, etc. After adjusting the active regions, control proceeds to the extraction step  1202 , where pixels associated with the active regions are extracted from the acquire image. Next, the “on” pixels are determined within the active regions, i.e., the pixels at containing more than a background pixel intensity or more than a threshold pixel intensity, is a determination step  1204 . Once the “on” pixels are identified, then weather condition correction factors are applied to the “on” pixel count in apply step  1208 . These corrections are intended to correct the pixel data to compensate for weather conditions. The corrections factors can be determined by either data accumulated over time or from studies of acquired images under different weather conditions at constant plant output. The “on” pixel data are then used to output an active regions density data in an output step  1206 . The resulting “on” pixel data is then used in the compute output values steps of  FIGS. 9 ,  10  and  11 . Of course, the pixel data derived from this process can relate to thermal data or compositional data depending on the light being collected and analyzed. 
     Experimental Data Analysis 
     Referring now to  FIG. 13 , a plot of data collected form a three stack facility showing the thermal data image of the three stack in the facility from an IR camera located approximately 1 km from the facility. 
     Referring now to  FIG. 14 , a plot of daily output activity for the facility in  FIG. 13 . 
     All references cited herein are incorporated by reference. While this invention has been described fully and completely, it should be understood that, within the scope of the appended claims, the invention may be practiced otherwise than as specifically described. Although the invention has been disclosed with reference to its preferred embodiments, from reading this description those of skill in the art may appreciate changes and modification that may be made which do not depart from the scope and spirit of the invention as described above and claimed hereafter.

Technology Classification (CPC): 6