Patent Publication Number: US-2015075047-A1

Title: Tracking Weapon Health and Maintenance

Description:
TRADEMARKS 
     RuBee® is a registered trademark of Visible Assets, Inc. of the United States of America. Other names used herein may be registered trademarks, trademarks or product names of Visible Assets, Inc. or other companies. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       To describe the foregoing and other exemplary purposes, aspects, and advantages, we use the following detailed description of an exemplary embodiment of the invention with reference to the drawings, in which: 
         FIG. 1  shows a first order interval histogram of 1,000 events; 
         FIG. 2  shows another first order interval histogram; 
         FIG. 3  shows a histogram of 383 shots; 
         FIG. 4  shows a normal probability plot of the histogram of  FIG. 1 ; 
         FIG. 5  shows a simulated weapon that fires at 13 shots/sec, but slows down to 7 or 8 shots/sec; 
         FIG. 6  shows the right auto mode of the graph of  FIG. 3 ; 
         FIG. 7  shows a normal probability distribution for the data of  FIG. 5 ; 
         FIG. 8  shows a plot of 1,000 shots over a course of 3,000 seconds; 
         FIG. 9  shows a predicted barrel temperature vs. time for the data of  FIG. 8 ; 
         FIG. 10  shows the MKS wear factor vs. time for 1,000 shots as seen in  FIG. 1 ; 
         FIG. 11  shows a histogram for 1,000 shots all in manual mode; 
         FIG. 12  shows the MKS wear factor in manual mode; 
         FIG. 13  shows a radio tag embedded in the grip of a handgun; 
         FIG. 14  is a block diagram of the components of the radio tag, according to an embodiment of the present invention; 
         FIG. 15  shows an example of some of the data that may be stored in the radio tag; 
         FIG. 16  shows an example of use and performance data contained in the tag; 
         FIG. 17  shows a handheld reader used to read and enter data to/from the radio tag; and 
         FIG. 18  is a flow chart of the process for implementing radio tags on firearms, according to an embodiment of the present invention. 
     
    
    
     While the invention as claimed can be modified into alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the intention is to cover all modifications, equivalents and alternatives falling within the scope of the present invention. 
     DETAILED DESCRIPTION 
     We describe a long wave RuBee® active tag system and method for high order interval analytics for shot counting events data that are diagnostic of a current maintenance state and general health of a weapon. 
     Visible Assets, Inc. has developed signal processing methods resident on a low power, IEEE 1902.1 (RuBee) enabled four bit microprocessor, known as a RuBee Shot Counter. The chip includes a custom amplifier as well as what is called a ThinFir, which is a real-time finite impulse filter that converts a firearm shot into a single shot event. The telemetric data communication is based on IEEE 1902.1 and is integrated into a full weapons visibility network that can be used for physical inventory, entry and exit detection, and access control with RuBee ID badges, as well as visibility and physical inventory of other mission critical assets. The shot counting data and metrics contained in the RuBee tag may be read by a handheld, or process free within the visibility network. The tags have the advantage of being very small with a battery life of tens of years using small Li coin size batteries. 
     When any firearm is shot the barrel becomes worn. Additionally, as the weapon is shot the parts (springs, screws, and washers) in a gun that control the magazine and movement of bullets, as well as the hammer and other moving parts are worn. In many cases the status of these parts is directly proportional to the number of shots that have been fired. Therefore, shot counting and shot management using an electronic measurement system and wireless tag has the value to track use and maintenance of a weapon. After 3,000 rounds the manufacturer may recommend that all springs should be changed, or after 10,000 rounds the barrel may need to be replaced and so on. We have disclosed such a tag in a prior invention using long wavelength magnetic waves. 
     In many weapons the wear and tear may be accelerated depending upon how close the rounds were fired together. This is especially true in automatic and semi-automatic weapons that can fire up to 10-13 rounds per second. At this rate, the heat generated from bullets can have a harmful affect on the barrel and other moving parts, especially if it is sustained. In other words, in automatic and semi-automatic weapons, 3,000 rounds at one shot per second is acceptable, but 3,000 rounds shot at 10 rounds per second may make the weapon unusable and unsafe. 
     The 30 Round Clip Cluster Problem. 
     An additional more complex statistical issue comes with high speed automatic weapons. For example, assume a 30 round clip is shot in automatic mode, exchanged with a 2-3 second delay, with a next clip and a next clip. Therefore, 90 total rounds are shot. The wear on the barrel and components will be significant and the barrel may reach a temperature of 100 C. If the same clips are shot in automatic mode, but exchanged after ten minutes of cool down time, wear will be reduced. We call this the Clip Cluster problem. First order interval statistics using histograms, described below, will be identical in the two scenarios. A higher order statistic is required to differentiate and detect use of the weapon in automatic mode. 
     General Weapon Health and Diagnostics. 
     A third interesting issue is the performance of the weapon itself and may be both an indicator of the user skills, as well as an indicator of the maintenance state. The use of third and fourth order correlations between rounds to detect interval variability can be a good metric for the general health of the weapon. 
     We have developed unique statistical methods and applied them to round counting to address the issues outlined above. While advanced thermodynamic heating models are possible, a second requirement is that the analytics must be simple and capable of implementation on board using a 4 bit processor in real-time. 
     Methods. 
     A simple firearm stochastic model was developed that assumes a gun could be fired up to 30 rounds per second in automatic mode at a rate of 13 to 8 rounds per second. Random Gaussian variation or jitter was added with controlled means and standard deviation. Time between clips was also a parameter from 2-3 seconds to many hundreds of minutes. Statistical methods were developed to simulate barrel temperature making specific simple assumptions. All data was analyzed using MatLab and Datadesk 6.0. 
     Weapons Wear Metrics. 
     The simplest metric is the number of shots counted (fired); therefore the weapon life and maintenance can be defined by the number of rounds fired. RuBee-enabled shot counters enable us to now count the shots automatically. However, not all shots cause the same amount of wear. For example, the first round through a cold weapon produces a given amount of wear. The last round of three clips fired at full auto produces significantly more wear. 
     Do we need to keep the last 90 intervals to produce a reasonable wear meric? Does wear produced by a round depend on the last 90 shot intervals? Yes, it can because the gun heats up faster with bursts of short interval shots. But time stamping every round is impractical. So we developed a simple real-time model that converts shot interval history to barrel temperature along with a set of simple equations. We add shot interval measurements shown in the shot interval histogram of  FIG. 1 . 400 single shots shown on the left-hand side; 600 shots in auto mode shown on the right-hand side. This gives us a better picture of the “health” of the weapon than just the shot count. Interval statistics provide much richer information than just shot count statistics. A Delta Q from each shot gives a temperature gain that decays at a rate dependent on how much the barrel temperature is above ambient over time. A temperature-based wear rate is measurable and the temperature model is physically verifiable. 
     Weapons Wear Metric. 
     Mean Kinetic Shots (MKS) Wear Factor. 
     Key parameters for each weapon design has to be calibrated and checked. 
     Field data will lead to refined understanding of evidence based weapons healthcare. 
     For example, receiving information that a weapon jammed at 83 rounds merely indicates that there is a problem. With objective MKS field data and evidence based weapons healthcare, we can diagnose and repair weapon before it jams. 
       FIG. 1  shows 1,000 events. The cluster on the right is shots in auto mode, and on the left are shots fired in manual mode.  FIG. 2  expands the histogram in  FIG. 1 , limited to just shots in auto mode.  FIG. 3  expands the shots in manual mode. Several clear first order diagnostics appear in both histograms. The wear factor for shots in the 611 shots in auto mode will be much greater than the wear factor in manual mode. In simple terms, this weapon has twice as many short interval shots over long interval shots. 
     Finally, a normal probability plot of  FIG. 1  seen in  FIG. 4  shows consistent and predictable normal intervals for automatic mode and, as might be expected, more erratic unpredictable intervals for manual mode. If the auto mode normal plot were erratic it would be an indicator that weapons were not properly functioning. 
     A simple first order wear metric might be to assume that wear at 10-13 Shots/Sec is twice that at under one round per second. This ratio can be assigned to each weapon on a case by case basis. Again we emphasize this does not take into account the possibility of clip clusters that might lead to much higher wear, but the simple first order histogram may be adequate for most auto and semi-automatic weapons. 
     First Order Diagnostics 
     The first order interval statistics have the advantage of being simple and easy to obtain in real-time within a weapon. They also can be a strong indicator or diagnostic of the weapons&#39; health. For example, the histogram seen below in  FIG. 5  shows a simulated weapon that fires at 13 Shots/Sec, but slows down because of mechanical issues over time to 7 or 8 Shots/Sec. This is the expected behavior for a weapon in poor health. 
     The left peak shows manual shots and the right peak shows rounds shot in auto mode. It is clear this histogram has a much lower mean and standard deviation. The right auto mode is shown in  FIG. 6 . The same 611 shots now have a distribution with a mean of 8.93 much slower, and a standard deviation of 1.40 much wider variability in shot intervals. The left expanded graph is the same as that shown in  FIG. 3 . The first order statistics can provide information about the general health of the weapon in the field. 
       FIG. 7  illustrates the normal probability distribution, and again, as can be seen, more, variability and much larger standard deviation over normal simulation is easy to detect. MKS—Higher Order Diagnostic Statistics. 
     In an attempt to address the Clip Cluster problem wherein many clips are shot at once in short intervals, we developed a Mean Kinetic Shot (MKS) algorithm that takes into account both heating and cooling of the mechanisms and barrel. The MKS factor is calculated using very simple assumptions, such as: a) barrel temperature increases by one unit each time the weapon is shot; b) barrel temperature decreases by a 0.1 unit every second; and c) as the barrel temperature increases, wear based on a single round will also increase. 
     Assumption a) is most accurate, that a round will increase the temperature of the barrel as it passes though the barrel the same amount at 13 Shots/Sec or 0.5 Shots per second. 
     The assumption b) that the barrel cools as a function of time is also correct although it is more likely the cooling is exponential and not linear. For simplicity, in this model we have to assume that it is linear with time. 
     Assumption c) is again simplistic and we have assumed that it is linear with temperature. It is more likely a higher order function that must be determined empirically for each weapon. However, for the sake of simplicity we have not scaled this as a factor, but that will become an important factor and differentiator between weapons. 
       FIG. 8  shows the same data seen in  FIG. 1 . 1,000 shots over course of 3,000 seconds. Some in bursts of 3 to 4 clips in automatic mode, some manual. The Y axis is shots per second and the X axis is time. 
       FIG. 9  illustrates the new metric that calculates barrel temperature. On the left it can be seen that the barrel temperature goes up rapidly because four  30  round clips were shot within a few seconds of each other. The important finding here is that a simple model produces results that are consistent with what we see with an actual weapon. The most critical statistic is the Mean Kinetic Shots wear factor. If we assume a round in a hot barrel will produce more wear more than a round shot through a cold barrel we can compute a MKS factor by simply summing rounds and temperature. Again, this will be scaled differently for different weapons. It can be scaled to empirical data weapon by weapon. 
       FIG. 10  shows the MKS wear factor vs time. You can see clearly that wear is at its maximum rate of increase during clip cluster bursts on left. In full auto mode the MKS factor is 6,045 for these 1,000 rounds. A second simulation in manual mode (no auto rounds at all is shown in  FIG. 11 ). The mean is 1.29 Shots/Sec and the standard deviation 0.72. The wear of the weapon should be significantly reduced over the same 1,000 shots in full auto mode. 
       FIG. 12  shows the MKS wear factor vs time for 1,000 shots in manual mode seen in the histogram of  FIG. 11 . The MKS wear factor is 1,847 in manual mode vs. 6,045 in full auto mode. 
     Conclusions: 
     We have presented the first order and second order statistical methods created for analysis of shot counting data. We have made simple assumptions to develop these methods. These assumptions may become more complex functions over time, but the principals developed here can be scaled based on empirical testing of individual weapons. That is by taking into account the weapon wear and health will be related to number of shots, but how those shots are distributed in time will also be a significant diagnostic factor. 
     We believe these methods can be used to predict wear and parts replacement in firearms, as well as serve as a real-time diagnostic for the health and safety of a firearm. These first order and second order analytics are simple enough to be calculated in real-time in a RuBee shot counting tag. 
     RuBee Firearm Visibility Network—Background. 
     The Firearm Visibility Network (FVN) provides for the identifying, monitoring and tracking of firearms within a network. RuBee® is a radio tag technology designed to provide full asset visibility and identification in harsh environments. The tags use the standard, IEEE P1902.1, “RuBee Standard for Long Wavelength Network Protocol,” which allows for networks encompassing thousands of radio tags operating below 450 KHz. RuBee® networks provide for real-time tracking under harsh environments, e.g., near metal and water and in the presence of electromagnetic noise. RuBee® radio tags, which can be either active or passive, have proven battery lives of ten years or more using inexpensive lithium batteries. The tags are programmable, in contrast to RFID tags. 
     The RuBee® Firearm Visibility Network (FVN) provides full visibility for storage, transport, and use of handguns, rifles, revolvers, and other weapons in high security government and law enforcement (LE) settings. The FVN may optionally include electronic identity cards to tie specific individuals to use/transport of weapons. See “Low Frequency Wireless Identification Device,” U.S. application Ser. No. 11/633,751 filed Dec. 4, 2006. The Firearm Visibility Platform may also provide independent audit trails for use in transport and storage of firearms that meet 21CFRPart11 compliance regulations and adhere to the Department of Defense (DoD) Directive 5015.2, “Department of Defense Records Management Program,” providing implementation and procedural guidance on records management in the DoD. 
     Background on RuBee® Radio Tags. 
     Radio tags communicate via magnetic (inductive communication) or electric radio communication to a base station or reader, or to another radio tag. A RuBee™ radio tag works through water and other bodily fluids, and near steel, with an eight to fifteen foot range, a five to ten-year battery life, and three million reads/writes. It operates at 132 KHz and is a full on-demand peer-to-peer, radiating transceiver. 
     RuBee® is a bidirectional, on-demand, peer-to-peer transceiver protocol operating at wavelengths below 450 KHz (low frequency). A transceiver is a radiating radio tag that actively receives digital data and actively transmits data by providing power to an antenna. A transceiver may be active or passive. The RuBee® standard is documented in the IEEE Standards body as IEEE P1902.1™. 
     Low frequency (LF), active radiating transceiver tags are especially useful for visibility and for tracking both inanimate and animate objects with large area loop antennas over other more expensive active radiating transponder high frequency (HF)/ultra high frequency (UHF) tags. These LF tags function well in harsh environments, near water and steel, and may have full two-way digital communications protocol, digital static memory and optional processing ability, sensors with memory, and ranges of up to 100 feet. The active radiating transceiver tags can be far less costly than other active transceiver tags (many under one dollar), and often less costly than passive back-scattered transponder RFID tags, especially those that require memory and make use of EEPROM. With an optional on-board crystal, these low frequency radiating transceiver tags also provide a high level of security by providing a date-time stamp, making full AES (Advanced Encryption Standard) encryption and one-time pad ciphers possible. 
     One of the advantages of the RuBee® tags is that they can transmit well through water and near steel. This is because RuBee® operates at a low frequency. Low frequency radio tags are immune to nulls often found near steel and liquids, as in high frequency and ultra high-frequency tags. This makes them ideally suited for use with firearms made of steel. Fluids have also posed significant problems for current tags. The RuBee® tag works well through water. In fact, tests have shown that the RuBee® tags work well even when fully submerged in water. This is not true for any frequency above 1 MHz. Radio signals in the 13.56 MHz range have losses of over 50% in signal strength as a result of water, and anything over 30 MHz have losses of 99%. 
     Another advantage is that RuBee® tags can be networked. One tag is operable to send and receive radio signals from another tag within the network or to a reader. The reader itself is operable to receive signals from all of the tags within the network. These networks operate at long-wavelengths and accommodate low-cost radio tags at ranges to 100 feet. The standard, IEEE P1902.1™, “RuBee Standard for Long Wavelength Network Protocol,” will allow for networks encompassing thousands of radio tags operating below 450 KHz. 
     The inductive mode of the RuBee® tag uses low frequencies, 3-30 kHz VLF or the Myriametric frequency range, 30-300 kHz LF in the Kilometric range, with some in the 300-3000 kHz MF or Hectometric range (usually under 450 kHz). Since the wavelength is so long at these low frequencies, over 99% of the radiated energy is magnetic, as opposed to a radiated electric field. Because most of the energy is magnetic, antennas are significantly (10 to 1000 times) smaller than ¼ wavelength or 1/10 wavelength, which would be required to efficiently radiate an electrical field. This is the preferred mode. 
     As opposed to the inductive mode radiation above, the electromagnetic mode uses frequencies above 3000 kHz in the Hectometric range, typically 8-900 MHz, where the majority of the radiated energy generated or detected may come from the electric field, and a ¼ or 1/10 wavelength antenna or design is often possible and utilized. The majority of radiated and detected energy is an electric field. 
     RuBee® tags are also programmable, unlike RFID tags. The RuBee® tags may be programmed with additional data and processing capabilities to allow them to respond to sensor-detected events and to other tags within a network. 
     Referring now in specific detail to the drawings and particularly  FIG. 13 , there is shown a RuBee® radio tag  100  embedded in the handle or grip of a handgun, according to an embodiment of the present invention. As shown in  FIG. 13 , the radio tag  100  is small enough to easily fit into a hollow formed into the grip of the handgun. The firearm shown in this example is a SIG SAUER® handgun, but the invention as discussed is not limited to handguns. The radio tag  100  could be advantageously used with any type of firearm or indeed most types of weaponry (swords, knives, and so forth) and some ammunition. 
     The radio tag  100  as shown in this example is placed in the handgun grip, but it could be placed in another part of the firearm if a different firearm form factor is used. The placement of the radio tag  100  depends on the form factor of the weapon and the size of the weapon. The tag  100  in this example is embedded into a cavity of the inside of the grip. Embedding the tag  100  in this manner is the preferred embodiment. Alternatively, the tag  100  may be affixed to the firearm by attaching it to the outside surface of the weapon, but this is not recommended. 
     The tag  100  may be constructed with a waterproof housing made to sustain wear and tear, yet remain lightweight. 
       FIG. 14  is a simplified diagram showing the functional components of the radio tag  100  according to an embodiment of the present invention. The basic components of the tag  100  are: a RuBee® modem  1120 , a RuBee® chipset  1125 , an antenna  1180 , an energy source  1140 , a microprocessor  1110 , and a memory  1130 . In addition to these basic components, the tag  100  may also contain optional components to increase its functionality. These optional components are shown with dashed lines in  FIG. 14  and they will be discussed in detail later on in this discussion. 
     Continuing with the discussion of the basic components, the tag  100  contains a custom RuBee® radiofrequency modem  1120 , preferably created on a custom integrated circuit using four micron CMOS (complementary metal-oxide semiconductor) technology. This custom modem  1120  is a transceiver, designed to communicate (transmit and receive radio signals) through an omni-directional loop antenna  1180 . All communications take place at very low frequencies (e.g. under 300 kHz). By using very low frequencies the range of the tag  100  is somewhat limited; however power consumption is also greatly reduced. Thus, the receiver of modem  1120  may be on at all times and hundreds of thousands of communication transactions can take place, while maintaining a life of many years (up to 15 years) for battery  1140 . 
     Operatively connected to the modem  1120  is a RuBee® chipset  1125 . The chipset  1125  is configured to detect and read analog voltages. The chipset  1125  is operatively connected to the modem  1120  and the microprocessor  1110 . 
     The antenna  1180  shown in  FIG. 14  is a small loop antenna with a range of eight to fifteen feet. It is preferably a thin wire wrapped many times around the inside edge of the tag housing. A reader or monitor may be placed anywhere within that range in order to read signals transmitted from the tag  100  or the tag&#39;s sensor(s). 
     The energy source shown in this example is a battery  1140 , preferably a lithium (Li) CR2525 battery approximately the size of an American quarter-dollar with a five to fifteen year life and up to three million read/writes. Note that only one example of an energy source is shown. The tag  100  is not limited to a particular source of energy, the only requirement is that the energy source is small in size, lightweight, and operable for powering the electrical components. 
     The tag  100  also includes a memory  1130  and a four bit microprocessor  1110 , using durable, inexpensive 4 micron CMOS technology and requiring very low power. 
     What has been shown and discussed so far is a basic embodiment of the tag  100 . With the components as discussed, the tag  100  can perform the following functions: 1) the tag  100  can be configured to receive (via the modem  1120 ) and store data about the firearm to which it is attached and/or the network to which it belongs (in the memory  1130 ); 2) the tag  100  can emit signals which are picked up by a reader, the signals providing data about the firearm; 3) the tag  100  can store data in the form of an internet protocol address so that the tag&#39;s data can be read on the internet. 
     Note that the electrical components of the tag  100  are housed within the body of the tag  100  and are completely enclosed within the tag  100  when the device is sealed. This makes the tag  100  waterproof and tamperproof. 
     Referring to  FIG. 15  there is shown an example of some of the data that may be stored in the radio tag  100 . In  FIG. 15  there is listed a weapon serial number, a model, manufacture date, owner, and user of the weapon. It may be desirable to hide some or all of this data. This can easily be done using known encryption methods such as AES public/private key encryption. Also, the data may be secured by requiring a password. 
     The tag  100  may contain additional features and components as will be discussed here below. 
     Other Embodiments 
     The functionality of the tag  100  can be greatly enhanced with the addition of optional components. One of these optional components is a sensor  1150 . The RuBee® chipset has the ability to detect and read analog voltages from various optional detectors  1150 . Sensors  1150  may be included to provide positional information, use information, and other data to the microprocessor  1110 . The number of sensors and the type of sensors depend on the intended use of the tag  100 . For example, an activity parameter sensor may be used. The activity parameter sensor detects the number of shots fired by detecting the number of projectiles remaining in the cartridge. Another sensor  1150  may be able to detect if the tag  100  has been removed from the handgun. In fact, additional sensors may be placed on the back of the tag  100  for just this purpose. Each instance of motion and/or acceleration is a status event and it is detected by the sensor  1150 . Sensors  1150  are ideal for providing an event history of the event statuses they detect. Other sensors not mentioned here may be advantageously used within the spirit and scope of the invention. 
       FIG. 16  shows an example of use and performance data that may be contained in the radio tag  100 , as provided by the onboard sensors  1150 . For example, the number of shots fired, the last shot date, the number of the last shot, the maximum temperature, and the last timestamp when maintenance was performed. 
     Additionally, a clock  1160  may be included inside the tag  100 . The clock  1160  can provide a time history to correspond with status events detected by the sensors  1150 . The clock  1160  can be configured to provide a time signal to correspond with a signal emitted by a sensor  1150 . The processor  1110  records the time signal together with the sensor signal in order to provide a temporal history that can be mapped to a status history. The history data can be stored in the memory  1130  along with status events. Tying events to a time stamp provides for a more meaningful history of events. For example, mapping shots fired to a date and time affords very useful information. 
     The tag  100  may be programmed to emit a warning signal when at least one of the sensors  1150  detects a condition that meets a predetermined value. For example, a sensor  1150  in the tag  100  may emit a signal when the ammunition falls below a predetermined amount. A jog sensor  1150  may emit a signal when the weapon has been dropped. A signal could also be emitted when it is time to perform maintenance on the weapon. 
     To secure the stored data in the tag  100 , an onboard crystal may be used to provide optical encoding using liquid crystal spatial light modulators. One-time pad ciphers are another security measure that can be advantageously used with a radio tag  100 . Using known security measures with the radio tag  100  is recommended when needed to assure that the tag data does not fall into the wrong hands. 
       FIG. 17  shows a handheld reader that may be used to read and enter data to/from the radio tag  100 . Although this method has the disadvantage of requiring an individual to be in proximity to the firearm, it has the advantage of being a low-cost way of quickly gathering data while out in the field and away from a computer. The handheld reader can be optimized with a USB port to facilitate downloading of data to a computer. The antenna  1180  within the tag  100  is operable up to approximately fifteen feet. Without any additional antennas, the handheld reader would need to be within a fifteen-foot range of the tag  100  and positioned correctly to pick up the transmitted signals from the tag  100 . Of course, the transmission field of the tag antenna  1180  can be amplified by employing additional antennas as shown in  FIG. 5 . The range of the tag  100  can be amplified exponentially using additional antennas. 
     IEEE P1902.1 offers a real-time, tag-searchable protocol using IPv4 addresses and subnet addresses linked to asset taxonomies that run at speeds of 300 to 9,600 Baud. RuBee® Visibility Networks are managed by a low-cost Ethernet enabled router  1190 . Individual tags and tag data may be viewed on a stand-alone system or a web server from anywhere in the world. Each RuBee® tag, if properly enabled, can be discovered and monitored over the World Wide Web using popular search engines (e.g., Google) or via the Visible Asset&#39;s tag Tag Name Server. Gathering information about one weapon is important. Equally important, if not more so, is gathering information about all of the weapons within a network. Note that in this discussion we refer to a “network” of weapons as all of the weapons within one networked RuBee® tag system. A network of weapons may or may not be restricted to one affiliation (such as a police department) or group of weapons (all revolvers). It is critical to track the shots fired, event histories, and condition of a network to be able to predict future events and to know what conditions will need to be changed and/or further monitored. It is well known in the art of database software that manipulating data in different ways produces different views of the data. Data from RuBee® tags  100  can be used for various purposes within the scope of this invention. 
     Optionally, a global positioning unit (GPS)  1195  may be operatively connected to the router  1190  to pick up the position signals detected by the tag&#39;s  100  optional positional sensor  1150  and record that information. The router  1190  and GPS  1195  unit can be placed in separate locations or may be co-located in a strategic location for optimal visibility of the firearm. 
       FIG. 18  is a flow chart  1200  of the process of implementing RuBee™-enabled tags to provide automatic, remote, and wireless identification, monitoring, and tracking of weapons, according to the present invention. The process begins at step  1210  when a tag  100  is attached to a weapon. The tag  100  may be securely embedded in a firearm as shown in  FIG. 1 , or it may be affixed to the firearm in such a way that it is easily removable. A unique identifier is assigned to the tag  100 . This unique identifier corresponds to the weapon to which the tag  100  is attached. The identifier can be programmed into the tag  100  either before or after it is attached. 
     Next in step  1220 , other data concerning the weapon is entered. This data may be the model number, the purchase date, the affiliation (agency, police department), and/or the maintenance record of the weapon, to name just a few data items that can be stored in the tag  100 . The tag  100  is enabled to constantly transmit low frequency radio signals through its modem  1120 . In step  1230  the identification data from the transceiver  1120  of the radio tag  100  is interrogated by the radio tag  100  with radio frequency interrogation signals at a low radio frequency not exceeding 450 kilohertz. The radio tag  100  may also transmit a signal or signals upon detection of a status event, such as a change in ammunition status of the weapon. 
     In step  1240  these signals are picked up by a reader operable to receive low frequency radio signals below 450 kilohertz within range of the tag antenna  1180 . The reader may be a handheld reader, such as a wand reader. The signals may also be picked up by a router  1190 , or another tag in the network. 
     In step  1250  the reader, router  1190 , or handheld reader transmits the data via a wireless connection to a computer. The data may be encrypted with known encryption methods. 
     In step  1260  the transmitted data, after it is decrypted, if necessary, is viewable through a computer. The data may be accessed from a database configured to process the tag data and displayed through a computer monitor, or a personal digital assistant (PDA) screen, a cell phone display, or any other display means according to advancing technology. The data may also be viewable via web browser. When the data is available on the Internet, it then becomes critical to safeguard the data, either by requiring a login and password, or using data encryption methods known in the art. In one embodiment, the login name may be the serial number of the weapon. 
     In step  1270 , the data gathered from the tag  100  or all of the tags in the network may be compiled into a report such as that shown. The report may be confined to one particular weapon, showing event and time histories for that weapon, or it may report on some or all of the weapons within an inventory shelf or a network. The report may be produced daily, monthly, seasonally, or yearly. The report may be automatically generated or may be generated upon user request. Optionally, a report may be auto-generated according to data received from the tag  100  which meets a pre-determined condition. For example, a user might want a report on a particular weapon generated when an ammunition sensor registers that the weapon has been fired. The report may be viewable on the Internet and/or distributed to appropriate personnel. 
     The purpose of generating reports is to provide information which can be used for predicting future trends and/or improving a situation, and/or for analyzing performance. Information gathered from a report may indicate that a change is necessary. The change may be a change in the data entered into the tag  100 , or the data collected by the tag  100 , or the position and/or frequencies of the equipment used to read the tags  100 . You will recall that RuBee® tags  100  are programmable, unlike RFID tags  100 . 
     Therefore, in step  1280  information gathered from a report may be used to add to or change the programming of the tags. To implement this, a user would make any needed changes on a computer. The data is transmitted to a RuBee® router  1190  which in turn communicates with a radio tag  100  through an antenna (either the tag antenna directly or a field antenna). The modem  1120  of the tag  100 , using the chipset  1125  transmits the signals to the processor  1110 . The processor  1110  records the data and makes the necessary changes. Many other additions and modifications can be made to the data to assist an end user in monitoring and tracking weapons within a network.