Knife switch opening and closing state automatic discrimination system based on electromagnetic induction principle sensor

Abstract

The invention relates to the technical field of disconnecting link state judgment, in particular to a disconnecting link opening and closing state automatic judgment system based on an electromagnetic induction principle sensor. By arranging a plurality of electromagnetic induction sensors and an advanced signal processing algorithm, the monitoring precision and reliability are improved, misjudgment and missed judgment are effectively avoided, automatic monitoring and remote monitoring of the state of the disconnecting link are achieved, the working efficiency is improved, the labor cost is reduced, meanwhile, a traditional manual observation mode is replaced, and the working efficiency is improved. According to the utility model, manual contact with high-voltage equipment is avoided, potential safety hazards are eliminated, alarm signals can be sent out in time when the disconnecting link breaks down, historical data analysis is provided, fault diagnosis and maintenance are facilitated, automatic monitoring is adopted, the number of times of manual inspection is reduced, the maintenance cost is reduced, and the working efficiency is improved. In addition, operation data of the disconnecting link can be recorded and analyzed during normal use, and data support is provided for predictive maintenance.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of knife switch state discrimination, in particular to a knife switch opening and closing state automatic discrimination system based on an electromagnetic induction principle sensor. BACKGROUND

[0002] In the power system, the knife switch, as an important switching device, is widely used in power transmission and distribution lines, and its main function is to connect or disconnect the circuit. The reliable operation of the knife switch is crucial for the safe and stable operation of the power system.

[0003] However, the traditional knife switch state monitoring relies on manual observation or simple mechanical indication, which has the following shortcomings:

[0004] 1. Low efficiency and prone to errors in manual inspection: manual inspection is time-consuming and labor-intensive, and is easily affected by subjective factors, with the risk of missing or misjudging, especially in harsh environments or remote areas;

[0005] 2. Poor reliability of mechanical indicator lights: mechanical indicator lights are easily affected by the environment, have high failure rates, and provide unclear indications, making it impossible to provide real-time state information;

[0006] 3. Lack of remote monitoring function: the traditional monitoring method lacks remote monitoring and data recording functions, making it impossible to timely grasp the running state of the knife switch, which is not conducive to maintenance and management;

[0007] 4. High safety risk: manual inspection of high-voltage knife switches poses a safety risk and is prone to electric shock accidents;

[0008] 5. Lack of data analysis function: the traditional monitoring method cannot analyze the running data of the knife switch, making it difficult to predict potential fault risks;

[0009] 6. Poor real-time performance: manual inspection and simple mechanical indication cannot provide real-time running state of the knife switch;

[0010] 7. High maintenance cost: frequent manual inspection and maintenance of mechanical indicator lights result in high costs.

[0011] The present application aims to solve the shortcomings of the traditional knife switch state monitoring method and provide a knife switch opening and closing state automatic discrimination system based on the electromagnetic induction principle, thereby improving the automation and safety of knife switch operation and providing protection for the stable operation of the power system. SUMMARY

[0012] The purpose of the present application is to provide a knife switch opening and closing state automatic discrimination system based on electromagnetic induction principle sensor, to solve the problems of low efficiency, easy to make mistakes, poor reliability of mechanical indicator light, lack of remote monitoring function, big security risk, lack of data analysis function, poor real-time performance and high maintenance cost in the background art.

[0013] To achieve the above-mentioned purpose, the present application aims to provide a knife switch opening and closing state automatic discrimination system based on electromagnetic induction principle sensor, comprising:

[0014] A sensor unit is used to detect the opening and closing state of the knife switch by using the principle of electromagnetic induction. When the knife switch is in the open or closed state, the electromagnetic field around it changes. The sensor unit can detect this change and convert it into an electrical signal.

[0015] A signal processing unit is used to receive the electrical signal output by the sensor unit, amplify, filter and shape the signal, eliminate noise interference, and convert the analog signal to a digital signal to provide reliable input data for the state judgment unit.

[0016] A state judgment unit is used to determine the current state (open or closed) of the knife switch based on the digital signal provided by the signal processing unit. This usually involves setting a threshold value to determine the state of the knife switch based on signal strength or other characteristic parameters.

[0017] An alarm unit is used to issue an audible and visual alarm signal when an abnormal state of the knife switch is detected (e.g. accidental opening or closing, or sensor failure), to alert the operator.

[0018] A data storage unit is used to store the running state data of the knife switch, including time stamp, switch state and environmental parameter information. These data can be used to analyze the running condition of the knife switch and for fault diagnosis.

[0019] A communication unit is responsible for data communication and real-time transmission of the running state information of the knife switch. It usually uses a communication protocol such as Ethernet, wireless communication, etc.

[0020] A display unit is used to display the current state of the knife switch and alarm information locally, making it easy for on-site operators to keep track of the running condition of the knife switch.

[0021] A remote monitoring terminal is used to receive and display the running state data of the knife switch transmitted by the communication unit. Authorized personnel can remotely monitor the running condition of the knife switch through the remote monitoring terminal.

[0022] As a further improvement of the present technical solution, the sensor unit is internally provided with an electromagnetic induction sensor, a temperature sensor, a humidity sensor and a current sensor.

[0023] The electromagnetic induction sensor is used to detect the mechanical position change of the knife switch, and monitor the on-off state of the knife switch in real time;

[0024] The temperature sensor is used to monitor the ambient temperature to evaluate the influence on the operation performance of the knife switch and the sensor;

[0025] The humidity sensor is used to monitor the ambient humidity to prevent the influence of high humidity environment on the equipment and ensure the accuracy of data;

[0026] The current sensor is used to monitor the current state passed by the knife switch, and provide additional operation state information for the power system.

[0027] As a further improvement of the technical solution, the signal processing unit is internally provided with a signal amplification circuit, an analog-to-digital converter, a digital filter and a data integrator;

[0028] The signal amplification circuit is used to amplify the weak signal collected by the sensor for subsequent processing;

[0029] The analog-to-digital converter is used to convert the analog signal into a digital signal for computer or microcontroller processing;

[0030] The digital filter is used to remove noise in the signal to ensure the accuracy of subsequent data;

[0031] The data integrator is used to uniformly process and integrate data from multiple sensors to output comprehensive state information.

[0032] As a further improvement of the technical solution, the state judgment unit is internally provided with a state analysis module and a fuzzy logic controller;

[0033] The state analysis module is used to analyze the sensor data based on the set threshold to determine the real-time state (open-closed state) of the knife switch;

[0034] The fuzzy logic controller is used to analyze uncertain information according to fuzzy logic algorithm to improve the accuracy of judgment.

[0035] As a further improvement of the technical solution, the alarm unit is internally provided with an audible and visual alarm, an alarm logic module and a fault recording module;

[0036] The audible and visual alarm is used to issue an alarm signal to prompt the operator that the state of the knife switch is abnormal;

[0037] The alarm logic module is used to determine which type of alarm to issue (such as fault alarm, maintenance reminder, etc.) according to the result output by the state judgment unit;

[0038] The fault record module is used for recording alarm events and their occurrence time, providing basis for subsequent maintenance.

[0039] As a further improvement of the technical solution, the data storage unit is internally provided with a non-volatile memory, a data compression module and a data backup module.

[0040] The non-volatile memory is used for storing historical running state data and alarm records of the knife switch, ensuring that data will not be lost due to power failure.

[0041] The data compression module is used for compressing historical data, saving storage space and improving data management efficiency.

[0042] The data backup module is used for regularly backing up stored data to prevent data loss.

[0043] As a further improvement of the technical solution, the communication unit is internally provided with a wireless communication module, a wired communication interface and a data encryption module.

[0044] The wireless communication module is used for transmitting knife switch state data to a remote monitoring terminal through wireless technology (such as 4G, 5G or NB-IoT).

[0045] The wired communication interface is used to support data communication through wired connection (such as Ethernet).

[0046] The data encryption module is used for encrypting transmitted data to protect the security and privacy of data.

[0047] As a further improvement of the technical solution, the display unit is internally provided with a liquid crystal display screen and a state indicator light.

[0048] The liquid crystal display screen is used for real-time display of the on-off state, running time and alarm information of the knife switch.

[0049] The state indicator light is used to visually display the open-close state of the knife switch through LED lights of different colors, such as green for normal state and red for abnormal state.

[0050] As a further improvement of the technical solution, the remote monitoring terminal is a PC terminal, a mobile phone or a smart tablet.

[0051] As a further improvement of the technical solution, the output ends of the electromagnetic induction sensor, the temperature sensor, the humidity sensor and the current sensor are connected to a signal amplification circuit.

[0052] The output end of the signal amplification circuit is connected to an analog-to-digital converter, the output end of the analog-to-digital converter is connected to a digital filter, and the output end of the digital filter is connected to a data integrator.

[0053] The output end of the data integrator is connected to a state analysis module, the output end of the state analysis module is connected to a fuzzy logic controller, the output end of the fuzzy logic controller is respectively connected to an alarm logic module, a non-volatile memory, a liquid crystal display screen, a state indicator lamp, a wireless communication module and a wired communication interface;

[0054] The output end of the alarm logic module is respectively connected to an audible and visual alarm, a fault record module and a liquid crystal display screen;

[0055] The output end of the non-volatile memory is respectively connected to a data compression module, a liquid crystal display screen, a wireless communication module and a wired communication interface, and the output end of the data compression module is connected to a data backup module;

[0056] The output end of the wireless communication module and the wired communication interface is connected to a data encryption module, and the output end of the data encryption module is connected to a remote monitoring terminal.

[0057] Compared with the prior art, the automatic discrimination system has the following beneficial effects:

[0058] 1. In the automatic discrimination system based on the electromagnetic induction principle sensor, the monitoring accuracy and reliability are improved by setting multiple electromagnetic induction sensors and advanced signal processing algorithms, the misjudgment and missed judgment are effectively avoided, the automation monitoring and remote monitoring of the knife switch state are realized, the work efficiency is improved, the labor cost is reduced, the traditional manual observation mode is replaced, the manual contact with high-voltage equipment is avoided, and the safety hazard is eliminated.

[0059] 2. In the automatic discrimination system based on the electromagnetic induction principle sensor, when the knife switch fails, an alarm signal can be sent in time, historical data analysis can be provided, fault diagnosis and maintenance are facilitated, automation monitoring is adopted, the number of manual inspection is reduced, the maintenance cost is reduced, in addition, the operation data of the knife switch can be recorded and analyzed during normal use, and data support is provided for predictive maintenance. BRIEF DESCRIPTION OF DRAWINGS

[0060] Figure 1 It is a whole principle block diagram of the automatic discrimination system based on the electromagnetic induction principle sensor of the knife switch.

[0061] Figure 2 It is an operation flowchart of the automatic discrimination system based on the electromagnetic induction principle sensor of the knife switch. DETAILED DESCRIPTION

[0062] With reference to the accompanying drawings: the technical solutions in the embodiments of the present application will be described clearly and completely. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0063] In a specific embodiment, as shown in Figure 1 An automatic discrimination system for the on-off state of a knife switch based on an electromagnetic induction principle sensor includes a sensor unit for detecting the on-off state of the knife switch using the electromagnetic induction principle, a signal processing unit for receiving the electrical signal output by the sensor unit, performing amplification, filtering, and shaping processing to eliminate noise interference, and converting the analog signal into a digital signal, a state judgment unit for judging the current state of the knife switch according to the digital signal provided by the signal processing unit, an alarm unit for issuing an audible and visual alarm signal when an abnormal state of the knife switch is detected to remind the operator, a data storage unit for storing the operating state data of the knife switch, including time stamp, on-off state, and environmental parameter information, a communication unit for being responsible for data communication and real-time transmission of the operating state information of the knife switch, a display unit for locally displaying the current state of the knife switch and alarm information, and a remote monitoring terminal for receiving the operating state data of the knife switch transmitted from the communication unit and displaying it. The remote monitoring terminal is a PC terminal, a mobile phone, or a smart tablet.

[0064] The sensor unit is internally provided with an electromagnetic induction sensor, a temperature sensor, a humidity sensor, and a current sensor. The signal processing unit is internally provided with a signal amplification circuit, an analog-to-digital converter, a digital filter, and a data integrator. The state judgment unit is internally provided with a state analysis module and a fuzzy logic controller. The alarm unit is internally provided with an audible and visual alarm, an alarm logic module, and a fault recording module. The data storage unit is internally provided with a non-volatile memory, a data compression module, and a data backup module. The communication unit is internally provided with a wireless communication module, a wired communication interface, and a data encryption module. The display unit is internally provided with a liquid crystal display and a state indicator.

[0065] And the output terminals of the electromagnetic induction sensor, the temperature sensor, the humidity sensor and the current sensor are connected to the signal amplification circuit. The output terminal of the signal amplification circuit is connected to the analog-to-digital converter, the output terminal of the analog-to-digital converter is connected to the digital filter, and the output terminal of the digital filter is connected to the data integrator. The output terminal of the data integrator is connected to the state analysis module, the output terminal of the state analysis module is connected to the fuzzy logic controller, and the output terminal of the fuzzy logic controller is connected to the alarm logic module, the non-volatile memory, the liquid crystal display, the status indicator lamp, the wireless communication module and the wired communication interface respectively. The output terminals of the alarm logic module are connected to the sound and light alarm, the fault recording module and the liquid crystal display respectively. The output terminals of the non-volatile memory are connected to the data compression module, the liquid crystal display, the wireless communication module and the wired communication interface respectively, and the output terminal of the data compression module is connected to the data backup module. The output terminals of the wireless communication module and the wired communication interface are connected to the data encryption module, and the output terminal of the data encryption module is connected to the remote monitoring terminal.

[0066] As shown in Figure 2 The automatic discrimination system for the closing and opening states of the knife switch based on the electromagnetic induction principle sensor provided by the application comprises the following processes and steps when it is working:

[0067] 1. Data acquisition: The electromagnetic induction sensor, the temperature sensor, the humidity sensor and the current sensor are used to monitor the electromagnetic field change, temperature, humidity and current around the knife switch in real time. These sensors convert the detected physical quantities into corresponding analog electrical signals.

[0068] 2. Signal processing: The analog signals output by the sensors are input to the signal amplification circuit for amplification to improve the signal-to-noise ratio. Then, the signals are converted into digital signals by the analog-to-digital converter. Next, the digital filter is used to further remove noise interference, and finally the data integrator integrates the digital signals from each sensor together.

[0069] 3. State judgment: The comprehensive data output by the data integrator is input to the state analysis module, which analyzes the data of the electromagnetic induction sensor according to the preset algorithm to determine the opening or closing state of the knife switch. At the same time, the fuzzy logic controller is used to further process the results of the state analysis module to improve the accuracy and reliability of the judgment, and to consider the influence of environmental factors such as temperature, humidity and current on the judgment results, and finally to determine the accurate state of the knife switch.

[0070] The specific operation steps when judging the state are as follows:

[0071] Phase one, preset algorithm of the state analysis module.

[0072] The core of the state analysis module is the algorithm based on electromagnetic induction sensor data. Since the electromagnetic induction sensor signal strength is related to the state of the knife switch, we can assume:

[0073] Closed state: The electromagnetic induction sensor output signal strength is high, denoted as S_high.

[0074] Open state: The electromagnetic induction sensor output signal strength is low, denoted as S_low.

[0075] A simple threshold method is used for preliminary judgment:

[0076] If the electromagnetic induction sensor output signal strength S > T (threshold), it is judged as closed state.

[0077] If the electromagnetic induction sensor output signal strength S ≤ T, it is judged as open state.

[0078] The threshold T needs to be calibrated according to the actual situation, usually through multiple experiments, collecting a large amount of electromagnetic induction sensor data under different states, and analyzing to determine a suitable threshold to minimize the misjudgment rate. More complex algorithms can consider using machine learning methods such as support vector machines (SVM) or neural networks to train models for judgment, which can improve accuracy, especially when there is noise or interference.

[0079] Phase two, the role of fuzzy logic controller.

[0080] Threshold method is simple and easy to implement, but it is easily affected by environmental factors. The fuzzy logic controller can effectively solve this problem. Its operation method is as follows:

[0081] Fuzzification: Convert electromagnetic induction sensor data S, temperature T_env, humidity H_env, and current I_env into fuzzy variables. This requires defining a series of fuzzy sets, such as:

[0082] S: {very low, low, medium, high, very high}

[0083] T_env: {very low, low, medium, high, very high}

[0084] H_env: {very low, low, medium, high, very high}

[0085] I_env: {very low, low, medium, high, very high}

[0086] Each fuzzy set corresponds to a membership function that describes the degree to which the variable belongs to a certain fuzzy set. For example, a Gaussian function can be used to define the membership function.

[0087] Fuzzy Inference: Perform fuzzy inference based on pre-defined fuzzy rules. These rules need to be determined through experience and a large amount of experimental data. For example:

[0088] IF S is low AND T_env is high THEN the status of the switch is likely to be open;

[0089] IF S is high AND T_env is medium AND H_env is low THEN the status of the switch is closed;

[0090] …

[0091] Defuzzification: Convert the results of fuzzy inference into a definite switch status (closed or open). Common defuzzification methods include the center of gravity method, maximum membership degree method, etc.

[0092] Phase Three, Final State Determination.

[0093] The output of the fuzzy logic controller will be more reliable because it takes into account multiple factors. The output of the fuzzy logic controller can be used as the final switch status determination result. If the fuzzy logic controller gives an uncertain result, a confidence index can be added, or repeated measurements can be required to improve the accuracy of the judgment.

[0094] The core of this step is to combine the advantages of threshold method and fuzzy logic controller. Threshold method provides preliminary judgment, and fuzzy logic controller improves the accuracy and robustness of the judgment by considering environmental factors. The specific membership function, fuzzy rule and defuzzification method need to be designed and adjusted according to the actual situation. The entire process requires a large amount of experimental data to calibrate parameters and verify effects. More advanced methods may involve Kalman filtering and other technologies to further improve the anti-interference ability of the system.

[0095] 4, Alarm and Record: If the fuzzy logic controller determines that the switch status is abnormal (for example, accidental opening, closing failure or sensor failure), the abnormal information is transmitted to the alarm logic module, which triggers the sound and light alarm to issue an alarm, and stores the alarm information and fault record in the fault record module.

[0096] 5, Data Storage: The fuzzy logic controller sends the switch running state data (including timestamp, switch status, temperature, humidity and current, etc.) to the non-volatile memory for storage. Through the data compression module, the stored data is compressed to save storage space, and at the same time, it is backed up to the data backup module to ensure data security.

[0097] 6, Data Transmission: The data stored in the non-volatile memory is transmitted to the data encryption module for encryption via the wireless communication module or wired communication interface.

[0098] 7、Remote monitoring: The encrypted data is transmitted to the remote monitoring terminal (PC, mobile phone or smart tablet) through the data encryption module. The remote monitoring terminal receives and displays the real-time state of the knife switch, historical data, alarm information and environmental parameters, etc.

[0099] 8、Local display: At the same time, the output of the fuzzy logic controller is also directly connected to the display unit, and the liquid crystal display and the status indicator light will display the current state and alarm information of the knife switch, which is convenient for the on-site personnel to quickly understand the operation of the knife switch.

[0100] In summary, the knife switch opening and closing state automatic discrimination system based on electromagnetic induction principle sensor provided by the application improves the monitoring accuracy and reliability by setting multiple electromagnetic induction sensors and advanced signal processing algorithms compared with the prior art, effectively avoids misjudgment and missed judgment, and realizes the automatic monitoring and remote monitoring of the knife switch state, improves the work efficiency, reduces the labor cost, replaces the traditional manual observation method, avoids manual contact with high-voltage equipment, eliminates the safety hazards, and when the knife switch fails, can timely send an alarm signal and provide historical data analysis, which is convenient for fault diagnosis and maintenance, at the same time, the automatic monitoring reduces the number of manual inspection and reduces the maintenance cost, in addition, the running data of the knife switch can be recorded and analyzed during normal use, which provides data support for predictive maintenance.

[0101] The above shows and describes the basic principles, main features and advantages of the application. Those skilled in the art should understand that the application is not limited by the above examples, the above examples and descriptions in the specification are only preferred examples of the application and are not intended to limit the application, various changes and improvements can be made without departing from the spirit and scope of the application, and these changes and improvements all fall within the scope of the claimed application. The scope of protection of the application is defined by the appended claims and their equivalents.

Claims

1. An automatic identification system for the opening and closing status of a knife switch based on an electromagnetic induction principle sensor, characterized in that: include: The sensor unit is used to detect the switch status of the knife switch using the principle of electromagnetic induction; The signal processing unit is used to receive the electrical signal output by the sensor unit, amplify, filter and shape it, eliminate noise interference, and convert the analog signal into a digital signal; A state judgment unit is used to judge the current state of the knife switch according to the digital signal provided by the signal processing unit; The alarm unit is used to send out sound and light alarm signals to remind the operator when abnormal status of the knife switch is detected; A data storage unit is used to store the operating status data of the knife switch, including timestamp, switch status and environmental parameter information; The communication unit is responsible for data communication and real-time transmission of the operating status information of the knife switch; Display unit, used to locally display the current status of the knife switch and alarm information; And a remote monitoring terminal is used to receive and display the knife switch operation status data transmitted from the communication unit.

2. The automatic identification system for the opening and closing state of a knife switch based on an electromagnetic induction principle sensor according to claim 1 is characterized in that: The sensor unit is internally provided with an electromagnetic induction sensor, a temperature sensor, a humidity sensor and a current sensor; The electromagnetic induction sensor is used to detect the mechanical position change of the knife switch and monitor the switch state of the knife switch in real time; The temperature sensor is used to monitor the ambient temperature; The humidity sensor is used to monitor the ambient humidity; The current sensor is used to monitor the current state passing through the knife switch.

3. The automatic identification system for the opening and closing state of a knife switch based on an electromagnetic induction principle sensor according to claim 2 is characterized in that: The signal processing unit is internally provided with a signal amplification circuit, an analog-to-digital converter, a digital filter and a data integrator; The signal amplification circuit is used to amplify the weak signal collected by the sensor; The analog-to-digital converter is used to convert the analog signal into a digital signal; The digital filter is used to remove noise from the signal; The data integrator is used to uniformly process and integrate data from multiple sensors and output comprehensive status information.

4. The automatic identification system for the opening and closing state of a knife switch based on an electromagnetic induction principle sensor according to claim 3 is characterized in that: The state judgment unit is internally provided with a state analysis module and a fuzzy logic controller; The state analysis module is used to analyze the sensor data based on the set threshold value to determine the real-time state of the knife switch; The fuzzy logic controller is used to analyze uncertain information according to a fuzzy logic algorithm.

5. The automatic identification system for the opening and closing state of a knife switch based on an electromagnetic induction principle sensor according to claim 4 is characterized in that: The alarm unit is internally provided with an audible and visual alarm, an alarm logic module and a fault recording module; The sound and light alarm is used to send out an alarm signal to remind the operator that the switch status is abnormal; The alarm logic module is used to determine what type of alarm to issue based on the result output by the status judgment unit; The fault recording module is used to record alarm events and their occurrence time.

6. The automatic identification system for the opening and closing state of a knife switch based on an electromagnetic induction principle sensor according to claim 5 is characterized in that: The data storage unit is internally provided with a non-volatile memory, a data compression module and a data backup module; The non-volatile memory is used to store historical operating status data and alarm records of the knife switch; The data compression module is used to compress historical data; The data backup module is used to regularly back up stored data.

7. The automatic identification system for the opening and closing state of a knife switch based on an electromagnetic induction principle sensor according to claim 6 is characterized in that: The communication unit is internally provided with a wireless communication module, a wired communication interface and a data encryption module; The wireless communication module is used to send the switch status data to the remote monitoring terminal through wireless technology; The wired communication interface is used to support data communication via a wired connection; The data encryption module is used to encrypt the transmitted data.

8. The automatic identification system for the opening and closing state of a knife switch based on an electromagnetic induction principle sensor according to claim 7 is characterized in that: The display unit is provided with a liquid crystal display and a status indicator light inside; The LCD is used to display the switch status, operating time and alarm information of the knife switch in real time; The status indicator light is used to visually display the on / off status of the knife switch through LED lights of different colors.

9. The automatic identification system for knife switch opening and closing states based on electromagnetic induction principle sensor according to claim 1 is characterized in that: The remote monitoring terminal is a PC, a mobile phone or a smart tablet.

10. The automatic identification system for knife switch opening and closing states based on electromagnetic induction principle sensor according to claim 8 is characterized in that: The output ends of the electromagnetic induction sensor, temperature sensor, humidity sensor and current sensor are all connected to the signal amplification circuit; The output end of the signal amplifying circuit is connected to an analog-to-digital converter, the output end of the analog-to-digital converter is connected to a digital filter, and the output end of the digital filter is connected to a data integrator; The output end of the data integrator is connected to the status analysis module, the output end of the status analysis module is connected to the fuzzy logic controller, and the output end of the fuzzy logic controller is respectively connected to the alarm logic module, the non-volatile memory, the liquid crystal display, the status indicator light, the wireless communication module and the wired communication interface; The output end of the alarm logic module is connected to the sound and light alarm, the fault recording module and the liquid crystal display screen respectively; The output end of the non-volatile memory is respectively connected to the data compression module, the liquid crystal display, the wireless communication module and the wired communication interface, and the output end of the data compression module is connected to the data backup module; The output ends of the wireless communication module and the wired communication interface are both connected to the data encryption module, and the output end of the data encryption module is connected to the remote monitoring terminal.

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