Abstract:
A computer-based method and system brings together data from two business domains: real-time actual plant status operation data and predictive process simulation data based upon a design specification. This method and system correlates the plant data and the simulation data, and displays the results side-by-side for the user. The results assist the user, to determine whether the plant is operating properly, and to make further improvements to both the plant assets and to the simulation models. The invention assists with monitoring, maintaining, trouble shooting, and problem solving of plant operation. The invention facilitates a progressive visual collaborative environment between plant operation and process engineering teams, where engineers from respective domains may socialize and trouble shoot problems. The Progressive Visual Collaboration helps professionals with searching, sharing, mapping, analyzing, framing problems, removing ambiguity and uncertainty by considering facts and figures, and providing a progressive workflow that solves plant problems.

Description:
BACKGROUND OF THE INVENTION 
       [0001]    The process industry goes through rigorous planning, designing, construction, and operating procedures. Plant conditions fluctuate all the time, but the plant also has multiple modes of operation, e.g. summer mode, winter mode; normal throughput, reduced or increased throughput; also different grades of product or a different feedstock require the plant to operate in a different mode. 
         [0002]    The existing method of comparing a model to plant data is time consuming. Process engineers typically do not have direct access to tools to access live plant data, requiring collaboration with operations personnel. Large volumes of plant data are exported to spreadsheets and events are analyzed using spreadsheet plotting tools. Having identified an event, values are copied from the spreadsheet to modeling tools. Some existing techniques for plant data measurements also include manual plant measurements from data historians, which do not provide real-time data. Some existing techniques for simulation include batch simulations, which are computationally intensive, and therefore do not complete quickly enough to be presented in a real-time manner. All of these existing methods may be time consuming. 
       SUMMARY OF THE INVENTION 
       [0003]    There is a need in the process industry for an invention that overcomes these disadvantages. In this process engineering realm, there needs to be a way to correlate design specification with current status of plant operation. It is essential to determine whether the plant is operating as designed. To make sure that the plant is operating properly, there needs to be a software-based mechanism that may compare and contrast a planned design specification with actual data from a plant in a correlated real-time manner. 
         [0004]    A solution is needed to bring together data from two different business domains: the process engineers who use models to design and optimize process equipment and the plant operations engineers who use data historians to monitor the plant and troubleshoot quality and operability issues. A solution is needed to bring together these two business domains to enable plant data from historians to be used to synchronize a model to the current plant operation, and use of the model to analyze and troubleshoot the plant. Such a solution is needed to provide direct access to the plant data from within the model so that model variables may be mapped to a continuous stream of plant data. Such a solution is needed to facilitate a sophisticated trouble shooting experience where decisions are made with facts and figures with context sensitive data and not with the blind assumptions and approximate fudge factors of the current systems. 
         [0005]    Additionally, it is not intuitive for existing systems to come up with such a solution because many challenges are faced by all web applications, such as latent communication, a weak presentation layer, devices, and a lack of standards. 
         [0006]    Professionals from process and plant business domains need a platform that combines (and correlates) plant and process data, and a platform where they may socialize, search and share context sensitive data in order to frame a plant or process problem. There is a need for a system that allows professionals to easily map design specifications of unit operations with real time information produced by plant equipment. 
         [0007]    The process design office and the real-time plant may operate differently. They may be different business units situated in different geographical locations. In the present invention, sensors implemented at the plant provide real-time data which is integrated with the software system installed at the process design office. The present invention forms a system and enables data integration between the design office and the plant. In such a scenario, the present invention helps by bringing simulation and real-time plant data together in a single unified, time synchronized, collated graphical view facilitating very efficient and effective maintenance of the plant. The present invention not only helps the user with maintaining and monitoring normal operation, but the present invention also helps with trouble shooting and problem solving of simulation and plant operational issues. 
         [0008]    The present invention includes a system that provides a way for process or plant engineers to view model results side-by-side (effectively time synchronized) with plant data. This system immensely helps by providing sophisticated graphical user interface techniques with a collaborative trouble shooting workflow. The workflow involves searching, sharing, integration with external data, mapping, analyses, troubleshooting, monitoring, maintaining, and problem solving of plant operation. In turn, the system improves the end user experience, facilitates data and information monetization, and helps to integrate products. The system of the present invention is also flexible and easily includes other search, share, mapping, and troubleshooting workflows between one or more heterogeneous systems. 
         [0009]    An advantage of the present invention is that it provides a highly intuitive and effective system that brings disparate systems together. The present invention brings together, in a collated manner, real-time plant data with process simulation data which is a preferred way to compare planned and actual estimates for the plant data. In one embodiment of the present invention, the present invention uses aspenONE (Trademark of Assignee) and Aspen Search (Trademark of Assignee) which bring together real-time data and simulation data together in Aspen PLUS (Trademark of Assignee), Aspen HYSYS (Trademark of Assignee), and Aspen Simulation Workbook (ASW) (Trademark of Assignee). However, the present invention may include other such simulation tools. 
         [0010]    A further advantage of the present invention is that the system includes an enhanced workflow to help remove uncertainty and ambiguity because the workflow presents facts by interacting with data sources directly. One advantage of the present invention is that it includes a “Progressive Visual Collaboration” (PVC) technique that enables a dynamic media where engineers from respective domains are enabled to socialize and troubleshoot a problem by sourcing critical, context-relevant information. PVC removes ambiguity and uncertainty by considering factual data, and provides progressive workflow to enable problem-solving. 
         [0011]    The present invention includes a computer-implemented method of managing data for at least one user comprising: sensing actual real-time processing plant operation status data for at least one asset from a set of assets of a processing plant through at least one sensor; recording, to a computer server, the actual real-time processing plant operation status data sensed from the at least one sensor; performing a simulation, through at least one simulation model from a set of simulation models of a planned process design specification, through a computer-implemented simulation engine; recording process design specification data from the simulation, through the computer-implemented simulation engine; correlating the actual real-time processing plant operation status data and the process design specification data through a computer-implemented correlation engine, into a set of correlated data; displaying the set of correlated data, to the at least one user through a computer display, such that the actual real-time processing plant operation status data and the process design specification data are streaming, and visually presented, concurrently, to the at least one user at the same time; and displaying at least one set of further details of the set of correlated data, based upon interaction from the at least one user through a user interface. 
         [0012]    The present invention further includes a method wherein the actual real-time processing plant operation status data is used as feedback and provided to the at least one simulation model, thereby improving accuracy of the at least one simulation model. The present invention further includes a method wherein a plurality of scenarios may be simulated by adjusting model parameters of the at least one simulation model and further performing the simulation. The present invention includes a further step of: applying a scenario, from a plurality of scenarios, to the set of assets, to resolve an issue. The present invention includes the further steps of: locating at least one plant identifier, within the actual real-time processing plant operation status data, when presented with a search command by the at least one user; associating the at least one plant identifier to at least one simulation model variable of the at least one simulation model; displaying the at least one plant identifier together with the at least one simulation model variable and together with the at least one set of further details of the set of correlated data that include one of, based on user selection, and over a user-specified time range, at least one of the following: live data, real-time data, time-averaged data, historical averaged data, trend data, or historical performance trend data. 
         [0013]    The present invention further includes a method wherein the at least one set of further details of correlated data includes, based on user selection, and over a user-specified time range, at least one of the following: a graph, a pictograph, a bar graph, a scatter plot, a pie graph, a histogram, a bar chart, a pie chart, a Gantt chart, a line cart, a candlestick chart, or a table. The present invention further includes a method wherein the actual real-time processing plant operation status data and the process design specification data are displayed together in a manner in which they share the same timeline, the same time scale, the same current time, and the same previous start time, and are displayed within a user-specified time range. 
         [0014]    The present invention further includes a method wherein the at least one set of further details of the correlated data include one of, based on user selection, live data, real-time data, time-averaged data, historical averaged data, trend data, or historical performance trend data. The present invention further includes a method wherein the set of correlated data forms a plurality of sets of correlated data which are displayed concurrently with each other. The present invention further includes a method wherein the computer-implemented simulation engine and the at least one sensor are at different geographic locations, and the actual real-time processing plant operation status data and the process design specification data are linked through a computer network. 
         [0015]    The present invention further includes a method wherein planned estimates for the actual real-time processing plant operation status data are compared against actual results for the actual real-time processing plant operation status data. The present invention further includes a method wherein the computer display is implemented using a computer monitor, personal computer, laptop, desktop, phone, smart phone, mobile phone, projection device or other computer (digital processing) device. 
         [0016]    The present invention further includes a method wherein the at least one simulation model includes multiple versions, and multiple users may perform modifications to the at least one simulation model, where the modifications may be performed in either a shared or private manner, where the multiple users need not be in the same geographic location, and where the multiple versions may be saved and restored. The present invention includes the further steps of: storing content in content storage, the content including user profile information, authentication information, and membership; and allowing the at least one user to search the content storage, through a search service, for actual real-time processing plant operation status data and process design specification data. 
         [0017]    The present invention includes a computer system for use in managing data for at least one user, comprising the following computer-implemented elements: at least one sensor that senses actual real-time processing plant operation status data for at least one asset from a set of assets of a processing plant; a computer server that records the actual real-time processing plant operation status data sensed from the at least one sensor; a computer-implemented simulation engine that performs a simulation, through at least one simulation model from a set of simulation models of a planned process design specification, and records process design specification data from the simulation; a computer-implemented correlation engine that correlates the actual real-time processing plant operation status data and the process design specification data, into a set of correlated data; a computer display that displays the set of correlated data, to the at least one user, such that the actual real-time processing plant operation status data and the process design specification data are streaming, and visually presented, concurrently, to the at least one user at the same time; and a user interface that the user interacts with, to display, through the computer display, at least one set of further details of the set of correlated data. 
         [0018]    The present invention further includes a computer system wherein the actual real-time processing plant operation status data is used as feedback and provided to the at least one simulation model, thereby improving accuracy of the at least one simulation model. 
         [0019]    The present invention further includes a computer system wherein the computer-implemented simulation engine simulates by adjusting model parameters of the at least one simulation model and further performing the simulation. The computer-implemented simulation engine in one embodiment applies a scenario, from a plurality of scenarios, to the set of assets, to resolve an issue. 
         [0020]    Embodiments of the present invention system (for example, the computer-implemented correlation engine) locate at least one plant identifier, within the actual real-time processing plant operation status data, when presented with a search command by the at least one user; associate the at least one plant identifier to at least one simulation model variable of the at least one simulation model; display the at least one plant identifier together with the at least one simulation model variable and together with the at least one set of further details of the set of correlated data that includes, based on user selection, and over a user-specified time range, at least one of the following: live data, real-time data, time-averaged data, historical averaged data, trend data, or historical performance trend data. 
         [0021]    The present invention further includes a computer system wherein the at least one set of further details of the set of correlated data includes, based on user selection, and over a user-specified time range, at least one of the following: a graph, a pictograph, a bar graph, a scatter plot, a pie graph, a histogram, a bar chart, a pie chart, a Gantt chart, a line cart, a candlestick chart, or a table. The present invention further includes a computer system wherein the actual real-time processing plant operation status data and the process design specification data are displayed together in a manner in which they share the same timeline, the same time scale, the same current time, and the same previous start time, and are displayed within a user-specified time range. The present invention further includes a computer system wherein the at least one set of further details of the correlated data include one of, based on user selection, live data, real-time data, time-averaged data, historical averaged data, trend data, or historical performance trend data. The present invention further includes a computer system wherein the set of correlated data forms a plurality of sets of correlated data which are displayed concurrently with each other. The present invention further includes a computer system wherein the computer-implemented simulation engine and the at least one sensor are at different geographic locations, and the actual real-time processing plant operation status data and the process design specification data are linked through a computer network. 
         [0022]    The present invention further includes a computer system wherein planned estimates for the actual real-time processing plant operation status data are compared against actual results for the actual real-time processing plant operation status data. The present invention further includes a computer system wherein the computer display is implemented using a computer monitor, personal computer, laptop, desktop, phone, smart phone, mobile phone, or other computer (digital processing) device. The present invention further includes a computer system wherein the at least one simulation model includes multiple versions, and multiple users may perform modifications to the at least one simulation model, where the modifications may be performed in either a shared or private manner, where the multiple users need not be in the same geographic location, and where the multiple versions may be saved and restored. The present invention further includes content storage storing content. The content includes user profile information, authentication information, and membership data. The system in one embodiment allows the at least one user to search the content storage, through a search service, for actual real-time processing plant operation status data and process design specification data. 
         [0023]    The present invention includes a computer program product comprising: one or more non-transitory computer-readable storage media having computer-executable components for use in managing information for a user, said components comprising: at least one sensor element (sensor) that senses actual real-time processing plant operation status data for at least one asset from a set of assets of a processing plant; a computer server that records the actual real-time processing plant operation status data sensed from the at least one sensor; a computer-implemented simulation engine that performs a simulation, through at least one simulation model from a set of simulation models of a planned process design specification, and records process design specification data from the simulation; a computer-implemented correlation engine that correlates the real-time processing plant operation status data and the process design specification data, into a set of correlated data; a display driver that displays the set of correlated data, to the at least one user, such that the actual real-time processing plant operation status data and the process design specification data are streaming, and visually presented, concurrently, to the at least one user at the same time; and a user interface that the user interacts with, to display, through the computer display, at least one set of further details of the correlated data. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0024]    The foregoing will be apparent from the following more particular description of example embodiments of the invention, as illustrated in the accompanying drawings in which like reference characters refer to the same parts throughout the different views. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating embodiments of the present invention. 
           [0025]      FIG. 1  is a schematic view of the computer processing system embodying the present invention. 
           [0026]      FIG. 2A  is a preferred detailed architectural implementation diagram of the present invention from  FIG. 1 . 
           [0027]      FIG. 2B  is a preferred procedural flowchart of the present invention of  FIG. 1 . 
           [0028]      FIGS. 3A ,  3 B,  3 C,  3 D,  3 E, and  3 F illustrate user interfaces of the present invention. 
           [0029]      FIG. 3A  illustrates process steps of an example workflow. 
           [0030]      FIG. 3B  illustrates selecting data and generating an associated data chart in the present invention. 
           [0031]      FIG. 3C  depicts a scenario where the process engineer may view the simulation result and real-time plant data side-by-side. 
           [0032]      FIG. 3D  illustrates that while viewing the simulation results the user may view a historic performance trend of the plant data and simulated data. 
           [0033]      FIG. 3E  illustrates a high performance trend (HPT) view of the plant data and simulated data. 
           [0034]      FIG. 3F  illustrates a view of a Workspace User Interface. 
           [0035]      FIG. 3G  presents an overview of the infrastructure of the present invention. 
           [0036]      FIG. 4  illustrates a computer network or similar digital processing environment in which the present invention may be implemented. 
           [0037]      FIG. 5  is a diagram of the internal structure of a computer in the computer system of  FIG. 4 . 
       
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
       [0038]    A description of example embodiments of the invention follows. 
         [0039]      FIG. 1  is a schematic view of the computer processing system embodying the present invention. In a preferred embodiment, each element in  FIG. 1  may be implemented in software, hardware, or both, where each element is executed through a computer processing means. Each  FIG. 1  element may either be in the same geographic location, or in a different geographic location, compared with other elements. In  FIG. 1 , each element may be either plural or singular. 
         [0040]      FIG. 1  illustrates a plant data service  212  that includes a plant asset  10  being monitored by a sensor  20 , and a sensor recording a plant measurement of plant data to a plant data server  30 . For example, the assets  10  of a processing plant may include, but are not limited to, distillation columns, pumps, valves, heat exchangers, evaporators, boilers, and other assets. 
         [0041]    A simulation engine  90  performs a simulation on a simulation model from a set of simulation models of a planned design specification. The simulation engine  90  produces simulation data. The simulation data (from  90 ) and plant data (from  212 ) is received through the network  70  and passed to a correlation engine  80 . The correlation engine  80  correlates the simulation data and plant data and outputs the correlated data through one more user interfaces  221  (where  221  includes at least  221   a ,  221   m ,  221   n ) to one more displays  40  (where  40  includes at least  40   a ,  40   m ,  40   n ), as show in  FIG. 1 . Note that the display  40  is accessible over the network  70  (this is known as “Progressive Visual Collaboration” provided by aspenONE of Assignee) and the display is accessible locally by the simulation engine  90  (as in Aspen Search by Assignee). Through the network  70 , which also may function as a system controller, the system preferably includes Content Storage  210 , a Search Service  211 , a Resource Manager Service  230 , and a Resource Agent Service  231 . Multiple users all have access to provide input, across different geographic locations through the network  70 . 
         [0042]      FIG. 2A  is a preferred detailed architectural implementation diagram of the present invention from  FIG. 1 . In a preferred embodiment, each element in  FIG. 2A  may be implemented in software, hardware, or both, where each element is executed through computer processing means. Each element may either be in the same geographic location, or in a different geographic location compared with other elements. In  FIG. 2A , each element may be either plural or singular. 
         [0043]    The preferred Content Storage  210  implementation is Microsoft Sharepoint, however, embodiments of the present invention may also use other content storage implementations in place of Microsoft Sharepoint. The Content Storage  210  is used to store user profile information, authentication information, and membership information, that is communicated to the user through a Web Service (Data)  223  to a computer display  40  for the user, where the Web Service may optionally be included in a Web Server  220 . The computer displays  40  (where  40  at least also includes  40   a ,  40   b ,  40   c ,  40   m , and  40   n ), shown in  FIG. 1  and  FIG. 2A , include but are not limited to a computer monitor, personal computer, laptop, desktop, phone, smart phone, mobile phone, projection device, or other computer (digital processing or computing) device. The user is provided with Web Applications that include User Interfaces (UI)  221  that at least include Workspaces  221   a , Plant Data  221   b , Search  221   c , Simulation  221   d , and Administration  221   e , where the UIs may optionally be included in a Web Server  220 . The UI is implemented in Hypertext Markup Language (HTML) but alternative implementations may be used. Workspaces  221   a  have a unified user interface that allows the user to store the search result, store modification changes, store snapshots of plant data, and store merged views of plant data.  FIG. 3F  illustrates a view of a Workspace UI  221   a . In addition, the present invention includes an aspenONE (Trademark of Assignee) infrastructure that provides capabilities for simulation, search, workspaces, and other UIs into a single content area  2001 , as shown in  FIG. 3G . 
         [0044]    A Search UI  221   c  allows the user to search, through a Search Service  211 , for both actual real-time processing plant operation status data and process design specification data. The Search Service  211  software extracts metadata from the simulation model files, and plant data, and indexes that data into the search. 
         [0045]    Sensors  20  perform plant data measurements from plant assets  10  and report the plant data measurements through plant data servers  30  through an Aspen InfoPlus. 21  (IP.21 of Assignee) data service  212 . The plant data, indicated as “Live Data” in  FIG. 2A , includes live data, historical data, and other types of plant data. This plant data is provided to the Client Adapter (Web Sockets)  222 , where the Client Adapter may optionally be included in a Web Server  220 . As illustrated in  FIG. 2A , plant data from the IP.21 Data Service  212  and simulation data from the Enterprise Service Bus (ESB)  70   a  are simultaneously input to the Client Adapter  222 . A Correlation Engine  80  correlates the simulation data and plant data into a set of correlated data. In a preferred embodiment, the Correlation Engine  80  utilizes the Web Service  223 , the Client Adapter  222 , and the Workspaces Web Application  221   a , in order to correlate the data. However, in alternative embodiments, the Correlation Engine  80  does not require all three elements and may include other elements. For example, Correlation Engine  80  applies techniques that adjust time scale of the simulation data and/or the plant data (or otherwise time synchronizes the data) to form correlated data. The plant data and simulation data together form the correlated data which is visually presented to the user through a computer display  40  in a “side-by-side” manner, which means that the plant data and the simulation data may be together, concurrent, time synchronized, streaming, visually corresponding, correlated, overlaid, contiguous, side-by-side, neighboring, adjoining, adjacent, juxtaposed, or associated in nature, or form a nexus. 
         [0046]    The simulation data is received by the Client Adapter  222  as follows. The Client Adapter  222 , on behalf of the user, requests an available simulation resource from the Resource Manager  230 . This request is the result of applying a Simulation Service  250  to a model that the user is viewing in the aspenONE (by Assignee) Simulation Application  221   d . If the Resource Manager  230  grants/accepts the request, based upon compatibility and availability, then access to a simulation resource in Aspen Services  250  is provided, and a request is performed through the Enterprise Service Bus (ESB) Network Element  70   a  which forwards to the Aspen Application Services  250   a  . . .  250   n  (generally  250 ) to obtain a simulation resource. Within one or more instances of Aspen Services  250 , the simulation resource may include one or more instances of Aspen Plus  252   a ,  252   b , Aspen HYSYS (Hydro Carbon Simulation System)  252   c , Process Information Management System (PIMS)  252   d , or other types of simulators. Multiple simulation resources  252  may have the same UI or separate UIs. In addition, a Resource Agent Service  231  starts and stops Adapters  251  (where  251  at least includes  251   a ,  251   b ,  251   c , and  251   d ). The adapters  251  adapt application-specific settings and instructions between software languages. The adapters  251  are also used to provide a connectivity mechanism to the ESB  70   a  for a given instance of a simulator  252 . When the simulation instance  252  and the corresponding adapter  251  are activated, then simulation data from the shared store  240  may be transferred through the ESB  70   a  to the Client Adapter  222 . Once a simulation resource is established, the Client Adapter  222  has exclusive access to the simulator. Note, multiple simulators may be used, such as HYSYS (Trademark by Assignee) and Aspen Plus (Trademark by Assignee) simulators, but this fact is transparent to the user. Based on request parameters and/or other input from Resource Manager  230  and Client Adapter  222 , the system knows which type of simulator is required and automatically interacts with the correct one. Note, if a deployment does not have any HYSYS simulators installed, the simulation service is preferably not seen in the dynamic service bar. The Aspen Service  250  sends replies and other messages to the Client Adapter  222  that the application  252  publishes for the client to read. 
         [0047]    Note that data from the shared store  240  may include any user-driven data meant for sharing. Note that both the Aspen Services  250  and the data from the shared store  240  are not limited to simulation, and other types of applications  252  using other types of Aspen Services data from the shared store  240  may be used, such as, but not limited to, process control, planning, scheduling, manufacturing, accounting, manufacturing supply chain (MSC) products, supply chain logistics, anything that requires automation in a plant or process, anything that performs processing of crude oil, or other types. In addition, as shown in  FIG. 2A , multiple platform instances  250  may be used and multiple application instances  252  may be used. Aspen Plus  252   a ,  252   b , and Aspen HYSYS  252   c  each provide a comprehensive process modeling system, and PIMS  252   d  provides a planning and optimization solution. Note also that the simulation resource may also include both the Adapter  1   251   a  and the corresponding Aspen Plus Instance  252   a  and may optionally include a Monitor. The simulation resource has access to the Shared Store of simulation model information  240 , so the Client Adapter  222  may retrieve simulation data. 
         [0048]    The Resource Agent  231  runs locally on a simulation service server (supports  250 ). The Resource Agent  231  starts and stops Adapters  251  (where  251  at least includes  251   a ,  251   b ,  251   c,  and  251   d ) based on configurations and commands, which may be changed at runtime. At startup, the Resource Agent  231  reads its configuration and starts the appropriate number of Adapters  251  which may be implemented as HYSYS Adapters, PIMS Adapters, Aspen Plus Adapters, and/or other types of Adapters. The Adapters  251  initialize and register with the Resource Manager  230 . The Resource Agent  231  has a license to kill (stop) any service process (if tasked by the administrator) to keep the machine clear of hanging, slow, or otherwise misbehaving service threads. In one embodiment, the “Application” Service Lifecycle is designed to mimic the Desktop Lifecycle, although one skilled in the art may realize that other computer lifecycles may be used. As such, the Resource Adapter  251  is a proxy for the desktop user and starts and stops the application  252  to help ensure stability and to guard against side-effects. 
         [0049]    The following is a further explanation of Resource Management from the Client View (at  40 ,  221 ). To a system client, there is a mechanism for sharing a limited set of resources across a group of people where access is exclusive for the period of time that it is in use. This process works a lot like bowling. In order to bowl, a user needs shoes. Shoes are limited resources that require exclusive access; while the user is playing, no one else may use them. A representative assigns a pair of shoes in exchange for something a user wants back, like a driver&#39;s license (or tokens). When the user finishes, the user returns the shoes to a trusted third party, and after some housekeeping, the shoes become available again and someone else may check them out. In aspenONE (Web Application  221 ), the trusted third party is the Resource Manager  230  and it oversees a system that is a bit more complex. Like a taxi cab dispatcher, the Resource Manager  230  knows how many cabs are available, how many have riders and how many are “out of service.” Such systems are dynamic and may easily adjust if there are problems. The Resource Adapter  251  is a smart proxy and handles all system interaction on behalf of the Application Instance  252  on initialization, it registers the Service with the Resource Manager  230 . The Resource Manager  230  preferably does not require apriori knowledge of the Adapter  251 . This high level of decoupling makes a system very dynamic and scalable. 
         [0050]    The Resource Adapter  251  preferably services user requests after it has been assigned to a specific client; the assignment process is called “binding” and includes a binding ID that drives dynamic routing. The binding ID is held by both the client and the Adapter  251 . A bound Resource Adapter  251  begins to receive user requests for processing and spins up an instance of the application  252 , which checks out tokens. As with any other System Service  250 , the Adapter  251  publishes responses, System Events and Notifications via messaging. 
         [0051]    The Resource Adapter  251  functions as a proxy for the Service  250  and when not actively servicing requests, the Service instance preferably does not exist. When the Application Instance  252  is brought into being by Adapter  251 , communication occurs via a Case Execution Service (CXS). This pattern allows the Resource Adapter  251  to continue to participate in Automation, System Management and Administrative functions. The Adapter is a stand-alone system component and like all components, preferably providing regular status reports even if there is no application currently running Once connected to the backbone, the Resource Adapter  251  provides Service Access  250  by receiving requests, publishing events, responses and notifications on behalf of itself and the application instance. Adapter( 251 )/Application( 252 ) communication occurs via CXS. 
         [0052]    Referring back to  FIG. 1 , the associated  FIG. 2B  represents a preferred flowchart  260  of the embodiment of  FIG. 1 . Plant data is sensed and recorded  261  while simulations are performed that simulate process models and record simulation data  262 . In step  263 , the actual processing plant data from step  261  is correlated with the simulation process data from step  262 , and the result is displayed to the user through a user interface  221 . The user may further search for and locate a plant identifier and simulation model in step  264 . In step  265 , the user may associate/map the plant identifier with the simulation model data. In step  266 , the user makes a selection through the user interface that results in a display of the plant and simulation data in a correlated manner such as a graph, chart, a pictograph, a bar graph, a scatter plot, a pie graph, a histogram, a bar chart, a pie chart, a Gantt chart, a line cart, a candlestick chart, a table, or other display types, and the data may be displayed as live data, real-time data, time-averaged data, historical averaged data, trend data, historical performance trend data, or other data types. 
         [0053]    As discussed earlier, the present invention enables the process engineer, within the modeling tool, to search for plant data identifiers by name, description and other metadata, and map these identifiers to model variables. The screen shot shown in  FIG. 3A  presents a user interface  221  that facilitates the process engineer to search for actual plant data tags  303  and associate them with that of unit operations  301 , and with the corresponding conceptual process tags  302 , of the model being worked on.  FIG. 3A  illustrates process steps of a workflow, including but not limited to step  1   310   v , step  2   310   u , step  3   310   a , step  6   310   w , step  7   310   x , step  8   310   y , step  9   310   z , and step  12   311   a . The  FIG. 3A  workflow assets  320   d ,  320   e , and  320   f  include, but are not limited to, distillation columns, pumps, valves, heat exchangers, evaporators, boilers, other assets and other process industry workflow elements. In the UI  221 , a composition key/legend  309  is shown, as well as icons which provide status of the simulation model  308   a , and update progress  308   b . Mapping is performed as follows. Please refer to  FIG. 3A . Please refer to column  301  which is located in the stream table named B 1  in  FIG. 3A . Please refer to element  301   f  that says “Specified Temperature Change” in column  301 . On the same row as  301   f , the user changes the value of the temperature to 2 degrees Fahrenheit (2 F) in element  302   f . Next, the user maps to a TAG element  303   f  named “ATCTIC301” on column  303 . This tag  303   f  maps to an IP.21 data service  212 . After doing the mapping from conceptual data  302  to actual data  303 , by selecting conceptual data and actual data respectively, as shown in  FIG. 3B , the model user may choose to view live data, time averaged values or average values over a specified time range which are displayed next to the mapped model value, or real-time data, historical averaged data, trend data, historical performance trend data, or other data types. 
         [0054]    In the  FIG. 3B  example, a parameter “Specified temperature change” is selected in column  301 , and the associated real-time historical plant data  306  is shown in the chart  305  with associated timing  307 , corresponding with the current live plant data value in column  303 . 
         [0055]    Rigorous first principles models are frequently used to troubleshoot or optimize process manufacturing plants. To apply a rigorous first principles model to an asset requires identifying data and collecting measurement values over multiple time periods. Steady states (plant values not changing over time) are required before they may be used in a model. The problem of identifying data, gathering historical trends, identifying steady states and calculating averages over those steady states is extremely time consuming and is attempted by only a few engineers. These plant averages are used to calibrate the model. Once the model has been calibrated, through what if studies it may be used to analyze the cause of the problem and investigate multiple scenarios to resolve the issue. 
         [0056]    One aspect of the present invention is provided by an offering from the assignee called Aspen Search. Aspen Search is a major search capability provided for AspenTech&#39;s engineering products such as Aspen Plus and Aspen HYSYS. When the user logs on to Aspen Plus or HYSYS, the user has the ability to search for any simulation model. From within the simulation flow sheet, the process engineer may point to a plant data server (running a data historian like IP.21) and map specific plant data tags against selected model stream variables and see how the plant is trending. This allows the end-user to view real-time, time-averaged or historical averaged data as well as data trends which help to facilitate operations support applications. Target customers for this product are those who regularly use models to troubleshoot plant operations. 
         [0057]      FIG. 3C  below depicts the scenario when the process engineer is able to view the simulation result and real-time plant data side-by-side (collated and synchronized).  FIG. 3C  illustrates a process plant design workflow UI of the present invention. The workflow steps  310 - 311  include, but are not limited to step  1   310   v , step  2   310   u , step  3   310   a , step  6   310   w , step  7   310   x , step  8   310   y , step  9   310   z , step  12   311   a , CF1  310   b , CF2  310   c , DMA  310   d , EFFLUENT  310   e , H20  310   f , MIX-FEED  310   g , MMA  310   h , MEOH  310   t , NH3  310   k , OVH-C1  310   i , OVH-C2  310   j , REC-TMA  310   l , RECYCLE  310   m , RFEED  310   n , TMA  310   o , WASH  310   p , WAT-AMN  310   q , WATER  310   r , and W-MMADMA  310   s . The workflow assets  320   a ,  320   b ,  320   c ,  320   d ,  320   e ,  320   f , and  320   g , include at least distillation columns, pumps, valves, heat exchangers, evaporators, boilers, other assets and other process industry workflow elements. Column  301  represents parameters, such as, but not limited to, temperature and pressure. Column  302  represents the corresponding conceptual process values associated with the column  301  parameters. Column  303  represents the corresponding actual plant values associated with the column  301  parameters. The pie chart  330   a  represents the compositions of chemical substances as they apply to the parameters in  301 . Similarly, other pie charts  330   b ,  330   c ,  330   d  are shown, each with their own respective parameters. 
         [0058]    As shown in  FIG. 3D , while viewing the simulation results  302  and real-time plant data  303  side-by-side the user may view the historic performance trend  305  of a plant measurement by clicking on an appropriate plant value  303   a . Plant values for temperature  303   a , pressure  303   b , and standard volume flow  303   c  are available, as well as other plant values not shown in the figure. As shown in  FIG. 3D , the user may select at least one tag  303   a ,  303   b , or  303   c  (through a mouse click, or other user interface operation) to hold at least one trend view  305  that may include a horizontal time axis  307  and a vertical value axis  306 . In the  FIG. 3D  example, the historical plant data  303   a  is presented over time  307  in a trend view chart  305 , and the associated process simulation data  302   a  is presented as a constant value over time. 
         [0059]    As described in  FIG. 3D  (“User clicks the chart to raise HPT view for this tag”), the user may further select (through a mouse click or other operation) the trend view chart  305 . As shown in  FIG. 3E , this user selection opens a web browser that displays a High Performance Trend (HPT) view  350  for the selected tag (or tags). High Performance Trends  353  (including but not limited to  353   a ,  353   b ,  353   c ) are associated to tags, which may include but are not limited to IP.21 tags including historic information, as shown in  FIG. 3E . Similarly to the trend view  305 , the HPT view  350  also includes a horizontal time axis  307  and a vertical value axis  306 . 
         [0060]    One skilled in the art understands that a corresponding simulation data chart is not always constant or static and there may be two charts presented side-by-side, one for simulation data, and one for plant data, or both charts may be overlaid on top of each other (adjusted to a common time scale). The existing features of High Performance Trends (HPT) from the IP.21 product allow users to view two or more tags concurrently, over a longer time period. 
         [0061]      FIG. 4  illustrates a computer network or similar digital processing environment in which embodiments of the present invention may be implemented. 
         [0062]    Client computer(s)/devices  50  and server computer(s)  60  provide processing, storage, and input/output devices executing application programs and the like. Client computer(s)/devices  50  may also be linked through communications network  70  to other computing devices, including other client devices/processes  50  and server computer(s)  60 . Communications network  70  may be part of a remote access network, a global network (e.g., the Internet), a worldwide collection of computers, Local area or Wide area networks, and gateways that currently use respective protocols (TCP/IP, Bluetooth, etc.) to communicate with one another. Other electronic device/computer network architectures are suitable. 
         [0063]      FIG. 5  is a diagram of the internal structure of a computer (e.g., client processor/device  50  or server computers  60 ) in the computer system of  FIG. 4 . Each computer  50 ,  60  contains system bus  79 , where a bus is a set of hardware lines used for data transfer among the components of a computer or processing system. Bus  79  is essentially a shared conduit that connects different elements of a computer system (e.g., processor, disk storage, memory, input/output ports, network ports, etc.) that enables the transfer of information between the elements. Attached to system bus  79  is I/O device interface  82  for connecting various input and output devices (e.g., keyboard, mouse, displays, printers, speakers, etc.) to the computer  50 ,  60 . Network interface  86  allows the computer to connect to various other devices attached to a network (e.g., network  70  of  FIG. 4 ). Memory  90  provides volatile storage for computer software instructions  92  and data  94  used to implement an embodiment of the present invention (e.g., correlation engine  80  and supporting code detailed above). Disk storage  95  provides non-volatile storage for computer software instructions  92  and data  94  used to implement an embodiment of the present invention. Central processor unit  84  is also attached to system bus  79  and provides for the execution of computer instructions. 
         [0064]    In one embodiment, the processor routines  92  and data  94  are a computer program product (generally referenced  92 ), including a computer readable medium (e.g., a removable storage medium such as one or more DVD-ROM&#39;s, CD-ROM&#39;s, diskettes, tapes, etc.) that provides at least a portion of the software instructions for the invention system. Computer program product  92  may be installed by any suitable software installation procedure, as is well known in the art. In another embodiment, at least a portion of the software instructions may also be downloaded over a cable, communication and/or wireless connection. In other embodiments, the invention programs are a computer program propagated signal product  107  embodied on a propagated signal on a propagation medium (e.g., a radio wave, an infrared wave, a laser wave, a sound wave, or an electrical wave propagated over a global network such as the Internet, or other network(s)). Such carrier medium or signals provide at least a portion of the software instructions for the present invention routines/program  92 . 
         [0065]    In alternate embodiments, the propagated signal is an analog carrier wave or digital signal carried on the propagated medium. For example, the propagated signal may be a digitized signal propagated over a global network (e.g., the Internet), a telecommunications network, or other network. In one embodiment, the propagated signal is a signal that is transmitted over the propagation medium over a period of time, such as the instructions for a software application sent in packets over a network over a period of milliseconds, seconds, minutes, or longer. In another embodiment, the computer readable medium of computer program product  92  is a propagation medium that the computer system  50  may receive and read, such as by receiving the propagation medium and identifying a propagated signal embodied in the propagation medium, as described above for computer program propagated signal product. 
         [0066]    Generally speaking, the term “carrier medium” or transient carrier encompasses the foregoing transient signals, propagated signals, propagated medium, storage medium and the like. 
         [0067]    Other advantages of the present invention are as follows. 
         [0068]    Other advantages of the present invention include that process engineers may use modeling tools of the present invention to design, optimize and troubleshoot process manufacturing assets (plants, offshore assets, pipelines etc.). The modeling tools include rigorous, first principles models which capture the underlying physics and chemistry of the assets and are thus predictive. The modeling tools may be used to simulate behavior outside the normal operating range. In one embodiment of the invention, to use these models to troubleshoot and optimize the plant assets, first the model is adjusted to replicate the current plant operation, and thus understand the issue, then multiple scenarios are preferably simulated by adjusting model parameters and simulating the results. Finally, the scenario which resolves the issue is applied to the asset. 
         [0069]    Benefits of the use of Web Sockets  222  include continuous traffic, two way communications, reduction of unnecessary network traffic and latency, and HTTP headers are reduced significantly, for example, by a factor of  500 : 1  compared with polling. Related advantages of the invention include but are not limited to: push notifications of notifications of Simulation Activities, Session Lifetime, and Smaller, Faster and Focused Messages. 
         [0070]    The invention includes Scalable Vector Graphics (SVG). Benefits include Lightweight Textual Representation (not Binary), Open Standard, Infinitely Scalable, Styled with CSS3, DOM Entities with JavaScripting. Related advantages of the invention include but are not limited to: PFD Rendering, Pinch and Zoom, and GPU Support. 
         [0071]    The invention supports Mobile Web Applications. Benefits include Offload UI computationally intensive tasks to GPU, Optimized to save battery life, Reach, Touch. Related advantages of the invention include but are not limited to: Access from Desktops (IE, Chrome), Access from new form factors—tablets (iPad), Easily Deployed, Easy to Use. 
         [0072]    The invention supports standards including, but not limited to, ECMA Script 5 (aka Javascript), the DOM, Canvas, SVG and CSS3. Related advantages of using standards in the present invention include but are not limited to: a well-crafted infrastructure for development that includes not just web pages but applications, agreement among the largest browser providers such as Microsoft, Google and Apple, vendors eager to be compliant, and being closer to the “write once run anywhere” ideal. A related advantage of the present invention is that it supports and preferably uses “Single Page Applications” (SPAs). The present invention is not limited to any application, platform, or service. 
         [0073]    While this invention has been particularly shown and described with references to example embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the invention encompassed by the appended claims.