Control system of RFID intelligent bullet cabinet

Abstract

The invention relates to the technical field of intelligent bullet cabinets, and discloses an RFID intelligent bullet cabinet control system, which comprises a sensing data acquisition module, a sensing data comparison module, a sensing data judgment module and a sensing data warning module, and is characterized in that the sensing data acquisition module is divided into an environment data acquisition unit, a safety data acquisition unit and a transaction data acquisition unit; the environment data acquisition unit acquires an environment data set for summarizing and monitoring, the safety data sensing unit acquires a safety equipment set for summarizing and monitoring, the transaction data acquisition unit acquires a transaction data set for monitoring and summarizing, and the sensing data comparison module comparison unit compares the environment data set, the safety equipment set and transaction data. The sensing data judgment module judges whether the sensor breaks down or is abnormal or not according to the comparison result, and sends a signal to the sensing data warning module for warning under the condition that the sensor breaks down or is abnormal, so that the problem that the sensor breaks down or is substantially abnormal is found in time.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent bullet cabinets, and specifically to a control system for RFID intelligent bullet cabinets. Background Art

[0003] Sensors play an important role in intelligent bullet cabinets, ensuring the safety of firearms and ammunition inside the intelligent bullet cabinet in real time. Once a sensor fails, it will bring serious consequences to the intelligent bullet cabinet. At the real-time monitoring level, it may occur that firearms and ammunition are illegally taken but cannot be detected in time, giving criminals an opportunity, resulting in the flow of firearms and ammunition into dangerous areas, posing a serious threat to public safety. In terms of environmental monitoring, a faulty sensor cannot accurately feedback abnormal temperature and humidity. Firearms in a harsh environment for a long time will accelerate aging, damage, reduce service life, and cannot function properly at critical moments, bringing great obstacles to the military and police in performing tasks, leaving loopholes in the bullet management of security companies, and ultimately endangering the stability of the entire society. Summary of the Invention

[0004] (1) Technical Problems to be Solved

[0005] In view of the deficiencies of the prior art, the present invention provides a control system for RFID intelligent bullet cabinets, which has the advantages that by comparing data sets, it can help us identify abnormal fluctuations or mutations in sensor data, realize a comprehensive analysis of the sensors inside the intelligent bullet cabinet, timely detect sensor failures or substantial abnormalities, ensure the safe storage and management of firearms and ammunition, and at the same time, the automated processing and rapid positioning functions greatly improve work efficiency, facilitate the timely discovery and solution of potential problems, and avoid safety accidents caused by equipment failures.

[0006] (2) Technical Solutions

[0007] To achieve the above object, the present invention provides the following technical solution: A control system for RFID intelligent bullet cabinets, including a sensing data acquisition module, a sensing data comparison module, a sensing data judgment module, and a sensing data warning module;

[0008] The sensing data acquisition module is divided into an environmental data acquisition unit, a security data acquisition unit, and a movement data acquisition unit. The environmental data acquisition unit is connected to multiple environmental monitoring sensors through a network and obtains an environmental data set for summary monitoring. The security data sensing unit is connected to multiple security identification devices through a network and obtains a security device set for summary monitoring. The movement data acquisition unit is connected to multiple movement monitoring devices through a network and obtains a movement data set for monitoring and summary. The sensing data acquisition module sends the collected data set to the sensing data comparison module;

[0009] The sensing data comparison module is divided into an environmental data comparison unit, a security data comparison unit, and an abnormal data comparison unit. The environmental data comparison unit compares the environmental data set, the security data comparison unit compares the security device set, and the abnormal data comparison unit compares the abnormal data. The sensing data comparison module is connected to the sensing data judgment module through a network;

[0010] The sensing data judgment module determines whether the sensor is faulty based on the comparison result, and sends a fault warning signal to the sensing data warning module in case of a fault. The sensing data judgment module determines whether an abnormality occurs based on the comparison result, and sends an abnormality warning signal to the sensing data warning module in case of an abnormality;

[0011] The sensing data warning module sends a warning signal to the relevant personnel according to the received warning signal.

[0012] Preferably, the multiple environmental monitoring sensors include a temperature sensor WDcg and a humidity sensor SDcg. The summary number representation formula of the environmental data set is:

[0013]

[0014] In the representation formula, HJsj represents the environmental data set, represents the first data in the environmental data set, represents the last data in the environmental data set, n represents the total number of data, and h represents a specific environmental sensor.

[0015] Preferably, the multiple security identification devices include an intelligent camera ZNsx, a fingerprint identifier ZWsb, and an iris scanner HMsm. The summary number representation formula of the security device set is:

[0016]

[0017] In the representation formula, AQsj represents the security device set, represents the first data in the security device set, represents the last data in the security device set, n represents the number of data, and a represents a specific security identification device.

[0018] Preferably, the multiple abnormal monitoring devices include a vibration sensor ZDcg and a noise sensor ZYcg. The summary number representation formula of the abnormal data set is:

[0019]

[0020] In the representation formula, YDsj represents the abnormal data set, represents the first abnormal data, represents the last abnormal data, n represents the number of data, and y represents the specific abnormal monitoring device.

[0021] Preferably, the calculation formula for comparing the environmental data set is:

[0022]

[0023] In the calculation formula, represents the calculation result of comparing the i-th environmental monitoring device in the environmental data set, represents the i-th monitoring data of the i-th environmental monitoring device in the environmental monitoring sensor, represents the mean value of the i-th environmental monitoring device.

[0024] Preferably, the calculation formula for comparing the safety device set is:

[0025]

[0026] In the calculation formula, represents the calculation result of comparing the i-th safety device in the safety device set, represents the i-th monitoring data of the i-th safety device in the safety device set, represents the mean value of the i-th safety device.

[0027] Preferably, the calculation formula for comparing the abnormal data is:

[0028]

[0029] In the calculation formula, represents the calculation result of comparing the i-th abnormal monitoring device in the abnormal data set, represents the i monitoring data of the i-th abnormal monitoring device in the abnormal data set, represents the mean value of the i-th abnormal monitoring device.

[0030] Preferably, when in the calculation results, if any one of the calculation result values is greater than the environmental comparison threshold, it means that the corresponding environmental monitoring device has a fault, and a fault warning signal is sent to the sensing data warning module. When in the calculation results, if all the calculation result values are greater than the environmental comparison threshold, it means that the monitored environment is abnormal, and an abnormal warning signal is sent to the sensing data warning module.

[0031] Preferably, when in the calculation results, if any one of the calculation result values is greater than the safety device comparison threshold, it means that the corresponding safety device has a fault, and a fault warning signal is sent to the sensing data warning module. When In the calculation results, when all the calculated result values are greater than the safety device comparison threshold, it indicates that there is an abnormality in the monitoring device, and an abnormal warning signal is sent to the sensing data warning module.

[0032] Preferably, when the YDsj yi In the calculation results, when any one of the calculated result values is greater than the abnormal device comparison threshold, it indicates that there is a fault in the corresponding abnormal monitoring device, and a fault warning signal is sent to the sensing data warning module. When the YDsj yi In the calculation results, when all the calculated result values are greater than the abnormal device comparison threshold, it indicates that there is an abnormality inside the monitoring device, and an abnormal warning signal is sent to the sensing data warning module.

[0033] Compared with the prior art, the present invention provides a control system for an RFID intelligent bullet cabinet, which has the following

[0034] Beneficial effects:

[0035] 1. By comparing through the data set, the present invention can help us identify abnormal fluctuations or mutations in the data. In the sensor data, if the reading of a certain sensor suddenly becomes very unstable, this may be a signal of sensor failure or external interference. Through the calculation formula, we can evaluate the consistency of the sensor output, analyze whether the sensor output fluctuates greatly, whether there are performance problems or faults, and at the same time, the calculation method of the comprehensive data set reduces errors and improves the accuracy of data calculation and analysis.

[0036] 2. By comprehensively analyzing the sensors inside the intelligent bullet cabinet, the present invention can timely detect sensor failures or substantial abnormalities, ensuring the safe storage and management of firearms and ammunition. At the same time, the automated processing and rapid positioning functions greatly improve work efficiency, facilitating the timely discovery and solution of potential problems and avoiding safety accidents caused by equipment failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the structure system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0039] Please refer to Figure 1, the control system of the RFID intelligent bullet cabinet includes a sensing data acquisition module, a sensing data comparison module, a sensing data judgment module, and a sensing data warning module;

[0040] The sensing data acquisition module is divided into an environmental data acquisition unit, a security data acquisition unit, and an abnormal data acquisition unit. The environmental data acquisition unit is connected to multiple environmental monitoring sensors through a network and obtains an environmental data set for summary monitoring. The security data sensing unit is connected to multiple security identification devices through a network and obtains a security device set for summary monitoring. The abnormal data acquisition unit is connected to multiple abnormal monitoring devices through a network and obtains an abnormal data set for monitoring and summary. The sensing data acquisition module sends the collected data set to the sensing data comparison module;

[0041] The multiple environmental monitoring sensors include a temperature sensor WDcg and a humidity sensor SDcg. The summary number representation of the environmental data set is:

[0042]

[0043] In the representation, HJsj represents the environmental data set, represents the first data in the environmental data set, represents the last data in the environmental data set, n represents the total number of data, and h represents a specific environmental sensor;

[0044] The temperature sensor can monitor the temperature change inside the cabinet in real time, and the humidity sensor can monitor the humidity change inside the cabinet in real time, ensuring that the equipment operates in a suitable environment, thereby extending its service life and enabling the equipment to always work in the best operating environment. This helps prevent equipment damage or failure caused by too high or too low temperature and humidity. At the same time, it monitors the environment inside the intelligent bullet cabinet. In the event of a fire, the temperature and humidity sensors can sense it in a timely manner;

[0045] The multiple security identification devices include an intelligent camera ZNsx, a fingerprint identifier ZWsb, and an iris scanner HMsm. The summary number representation of the security device set is:

[0046]

[0047] In the representation, AQsj represents the security device set, represents the first data in the security device set, represents the last data in the security device set, n represents the number of data, and a represents a specific security identification device;

[0048] The smart camera can monitor the environment around the gun cabinet in real time to ensure that any unauthorized access can be discovered in time. The fingerprint reader verifies the user's identity by collecting and comparing fingerprint information to ensure that only authorized personnel can open the gun cabinet. The iris scanner authenticates the user by scanning the user's iris information. It has extremely high recognition accuracy and anti-counterfeiting. Through their respective advantages, they jointly form a multi-level, all-round security protection system.

[0049] Multiple abnormal monitoring devices include vibration sensor ZDcg and noise sensor ZYcg. The summary number representation of the abnormal data set is:

[0050]

[0051] In the representative formula, YDsj represents the change data set, Represents the first change data. represents the last abnormal data, n represents the number of data, and y represents the specific abnormal monitoring device;

[0052] The vibration sensor can detect any abnormal vibration generated inside or outside the gun and ammunition cabinet. When there is illegal intrusion, attempt to destroy the gun and ammunition cabinet structure or unauthorized operation, the vibration sensor can accurately warn. The noise sensor is used to detect abnormal sounds inside or around the gun and ammunition cabinet, including sudden impact sounds, breaking sounds or other sounds that may indicate safety problems. The vibration sensor and noise sensor are important security monitoring devices in the smart gun and ammunition cabinet to ensure the safety of guns and ammunition.

[0053] The sensor data comparison module is divided into an environment data comparison unit, a safety data comparison unit, and an abnormal data comparison unit. The environment data comparison unit compares the environment data set, the safety data comparison unit compares the safety device set, and the abnormal data comparison unit compares the abnormal data. The sensor data comparison module is connected to the sensor data judgment module through a network.

[0054] The calculation formula for comparing environmental data sets is:

[0055]

[0056] In the calculation formula, represents the calculation result of comparing the i-th environmental monitoring device in the environmental data set, represents the i-th monitoring data of the i-th environmental monitoring device in the environmental monitoring sensor, represents the mean value of the i-th environmental monitoring device;

[0057] The calculation formula for comparing the security device sets is:

[0058]

[0059] In the calculation formula, represents the calculation result of comparing the i-th safety device in the safety device set, represents the i-th monitoring data of the i-th safety device in the safety device set, represents the mean value of the i-th safety device;

[0060] The calculation formula for comparing abnormal data is:

[0061]

[0062] In the calculation formula, represents the calculation result of comparing the i-th abnormal monitoring device in the abnormal data set, represents the i monitoring data of the i-th abnormal monitoring device in the abnormal data set, represents the mean value of the i-th abnormal monitoring device;

[0063] The above calculation formula can help us identify abnormal fluctuations or mutations in the data. In sensor data, if the reading of a certain sensor suddenly becomes very unstable, this may be a signal of sensor failure or external interference. Through the calculation formula, we can evaluate the consistency of the sensor output, analyze whether the sensor output fluctuates greatly, whether there are performance problems or faults. At the same time, the calculation method of the comprehensive data set reduces errors and improves the accuracy of data calculation and analysis;

[0064] The sensing data judgment module judges whether the sensor is faulty according to the comparison result, and sends a fault warning signal to the sensing data warning module in case of a fault. The sensing data judgment module judges whether an abnormality occurs according to the comparison result, and sends an abnormality warning signal to the sensing data warning module in case of an abnormality;

[0065] When In the calculation results of, if any calculation result value is greater than the environmental comparison threshold, it means that the corresponding environmental monitoring device is faulty, and a fault warning signal is sent to the sensing data warning module. When In the calculation results of, if all calculation result values are greater than the environmental comparison threshold, it means that the monitored environment is abnormal, and an abnormality warning signal is sent to the sensing data warning module;

[0066] When In the calculation results of, if any calculation result value is greater than the safety device comparison threshold, it means that the corresponding safety device is faulty, and a fault warning signal is sent to the sensing data warning module. When In the calculation results, when all the calculated result values are greater than the safety device comparison threshold, it indicates that there is an abnormality in the monitoring device, and an abnormal warning signal is sent to the sensing data warning module;

[0067] When in the calculation results, when any one of the calculated result values is greater than the abnormal device comparison threshold, it indicates that there is a fault in the corresponding abnormal monitoring device, and a fault warning signal is sent to the sensing data warning module. When in the calculation results, when all the calculated result values are greater than the abnormal device comparison threshold, it indicates that there is an abnormality inside the monitoring device, and an abnormal warning signal is sent to the sensing data warning module;

[0068] By comprehensively analyzing the sensors inside the intelligent gun cabinet, sensor failures or substantial abnormalities can be detected in a timely manner, ensuring the safe storage and management of firearms and ammunition. At the same time, the automated processing and rapid positioning functions greatly improve work efficiency, facilitating the timely discovery and solution of potential problems and avoiding safety accidents caused by equipment failures;

[0069] The sensing data warning module sends a warning signal to relevant personnel according to the received warning signal.

[0070] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The control system of RFID intelligent gun and ammunition cabinet is characterized by: It includes a sensor data acquisition module, a sensor data comparison module, a sensor data judgment module and a sensor data warning module; The sensor data acquisition module is divided into an environment data acquisition unit, a security data acquisition unit, and an abnormal data acquisition unit. The environment data acquisition unit is connected to a plurality of environment monitoring sensors via a network, and obtains an environment data set for summary monitoring. The security data sensing unit is connected to a plurality of security identification devices via a network, and obtains a security device set for summary monitoring. The abnormal data acquisition unit is connected to a plurality of abnormal monitoring devices via a network, and obtains an abnormal data set for monitoring summary. The sensor data acquisition module sends the collected data set to the sensor data comparison module. The sensor data comparison module is divided into an environment data comparison unit, a security data comparison unit, and an abnormal data comparison unit. The environment data comparison unit compares the environment data set, the security data comparison unit compares the security device set, and the abnormal data comparison unit compares the abnormal data. The sensor data comparison module is connected to the sensor data judgment module through a network; The sensor data judgment module judges whether the sensor is faulty according to the comparison result, and sends a fault warning signal to the sensor data warning module in the case of a fault. The sensor data judgment module judges whether an abnormality occurs according to the comparison result, and sends an abnormality warning signal to the sensor data warning module in the case of an abnormality. The sensor data warning module sends a warning signal to relevant personnel according to the received warning signal.

2. The control system of the RFID intelligent gun and ammunition cabinet according to claim 1 is characterized in that: The multiple environmental monitoring sensors include a temperature sensor WDcg and a humidity sensor SDcg. The summary number representation of the environmental data set is: In the representation formula, HJsj represents the environmental dataset, Represents the first data in the environment dataset. Represents the last data in the environmental data set, n represents the total number of data, and h represents the specific environmental sensor.

3. The control system of the RFID intelligent gun and ammunition cabinet according to claim 2 is characterized in that: The multiple security identification devices include a smart camera ZNsx, a fingerprint identifier ZWsb, and an iris scanner HMsm. The summary numbering representation of the security device set is: In the representative formula, AQsj represents the safety equipment set, Represents the first data in the security device set, Represents the last data in the security device set, n represents the number of data, and a represents the specific security identification device.

4. The control system of the RFID intelligent gun and ammunition cabinet according to claim 3 is characterized in that: The multiple abnormality monitoring devices include a vibration sensor ZDcg and a noise sensor ZYcg. The summary number representation formula of the abnormality data set is: In the representative formula, YDsj represents the change data set, Represents the first change data. Represents the last abnormal data, n represents the number of data, and y represents the specific abnormal monitoring device.

5. The control system of the RFID intelligent gun and ammunition cabinet according to claim 4 is characterized in that: The calculation formula for comparing the environmental data set is: In the calculation formula, represents the calculation result of comparing the i-th environmental monitoring device in the environmental data set, represents the i-th monitoring data of the i-th environmental monitoring device in the environmental monitoring sensor, Represents the mean value of the i-th environmental monitoring device.

6. The control system of the RFID intelligent gun and ammunition cabinet according to claim 5 is characterized in that: The calculation formula for comparing the security device set is: In the calculation formula, represents the calculation result of the comparison of the ith safety device in the safety device set, represents the i-th monitoring data of the i-th safety device in the safety device set, Represents the mean value of the i-th safety device.

7. The control system of the RFID intelligent gun and ammunition cabinet according to claim 6 is characterized in that: The calculation formula for comparing the abnormal data is: In the calculation formula, Represents the calculation result of comparing the ith abnormal monitoring device in the abnormal data set, represents the i-th monitoring data of the i-th abnormal monitoring device in the abnormal data set, Represents the mean value of the i-th abnormal monitoring device.

8. The control system of the RFID intelligent gun and ammunition cabinet according to claim 7 is characterized in that: When the In the calculation results, if any calculation result value is greater than the environmental comparison threshold, it means that the corresponding environmental monitoring device has a fault, and a fault warning signal is sent to the sensor data warning module. In the calculation results, when all the calculation result values ​​are greater than the environmental comparison threshold, it means that there is an abnormality in the monitoring environment, and an abnormal warning signal is sent to the sensor data warning module.

9. The control system of the RFID intelligent gun and ammunition cabinet according to claim 8 is characterized in that: When the In the calculation results, if any calculation result value is greater than the safety device comparison threshold, it means that the corresponding safety device has a fault, and a fault warning signal is sent to the sensor data warning module. ai In the calculation results, when all the calculation result values ​​are greater than the safety device comparison threshold, it means that there is an abnormality in the monitoring device, and an abnormal warning signal is sent to the sensor data warning module.

10. The control system of the RFID intelligent gun and ammunition cabinet according to claim 9 is characterized in that: When the YDsj yi In the calculation results, if any calculation result value is greater than the abnormal device comparison threshold, it means that the corresponding abnormal monitoring device has a fault, and a fault warning signal is sent to the sensor data warning module. yi In the calculation results, when all the calculation result values ​​are greater than the abnormal device comparison threshold, it means that there is an abnormality inside the monitoring device, and an abnormal warning signal is sent to the sensor data warning module.

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