Intelligent explosion-proof junction box for offshore oil platform

Abstract

The invention relates to an intelligent explosion-proof junction box for an offshore oil platform, which comprises a shell, an environment monitoring module, a central processing unit, an intelligent fault diagnosis module, a remote monitoring module and a management module, and is characterized in that the shell is made of a multi-layer composite explosion-proof material and has excellent corrosion resistance, heat insulation and explosion-proof performance; the environment monitoring module is used for monitoring temperature, humidity, gas concentration and vibration in real time by integrating a plurality of sensors, data are transmitted to the central processing unit for analysis, and the intelligent fault diagnosis module is used for performing real-time fault analysis and prediction on the data based on a logical algorithm, generating a fault report and performing early warning. The remote monitoring module realizes real-time data transmission and remote control through the Internet of Things, the management module is combined with the block chain technology to ensure the safety of a remote command, the junction box realizes real-time monitoring, fault diagnosis and remote control of equipment through an intelligent system, and the safety and management efficiency of the equipment on an offshore oil platform are improved.

Description

Technical Field

[0001] The invention relates to an intelligent explosion-proof junction box used for an offshore oil platform. Background Art

[0002] Offshore oil platforms are in harsh marine environments for a long time, exposed to high humidity, salt spray, corrosive gases, and drastic temperature changes. In order to ensure the safe operation of electrical equipment on the platform, the explosion-proof performance and stability of the junction box, as a key electrical connection and distribution equipment, are particularly important. The structure of the traditional explosion-proof junction box is relatively simple, mainly relying on the physical protection characteristics of the shell material, which is difficult to cope with complex and changing environments, and the equipment status is difficult to monitor and predict faults in real time. With the rapid development of the Internet of Things and intelligent control technology, the existing explosion-proof junction boxes are gradually facing the need for intelligent upgrades, especially in remote monitoring, fault diagnosis and equipment management, and there are still many technical challenges.

[0003] In the existing technology, some junction boxes only have basic environmental monitoring functions and cannot achieve real-time intelligent fault diagnosis and remote monitoring. In addition, the existing fault diagnosis often relies on data collection and analysis after the fault occurs, lacks an early warning mechanism, and cannot perceive the potential risks of the equipment in advance, resulting in delayed maintenance and long downtime. These problems are particularly prominent in applications in harsh environments such as offshore oil platforms.

[0004] Therefore, designing an intelligent explosion-proof junction box with intelligent functions, capable of real-time monitoring of environmental parameters, and remote fault diagnosis and control has become an urgent problem to be solved in the current technical field. Summary of the invention

[0005] The purpose of the present invention is to solve the above deficiencies in the prior art and provide an intelligent explosion-proof junction box for offshore oil platforms. By integrating multiple sensor modules, intelligent fault diagnosis systems, and remote monitoring and management modules, the intelligent functions of equipment such as real-time monitoring, fault warning, and remote control can be realized, and the problems of the explosion-proof junction box in the prior art that intelligent management and fault diagnosis are not timely can be solved. The following is a specific solution:

[0006] On the one hand, an intelligent explosion-proof junction box for an offshore oil platform includes a shell, an environmental monitoring module, a central processing unit, an intelligent fault diagnosis module, a remote monitoring module and a management module, wherein the shell is made of a multi-layer composite explosion-proof material, the inner layer of the shell is a high-strength alloy substrate, and the outer surface of the shell is coated with a corrosion-resistant coating; the environmental monitoring module includes a plurality of sensor modules, and the sensor modules are used to monitor temperature, humidity, gas concentration and vibration in real time, and summarize and analyze the monitoring data through the central processing unit; the intelligent fault diagnosis module is used to perform real-time analysis on the data collected by the environmental monitoring module, and judge the fault condition through a set logic algorithm to generate a fault report; the remote monitoring module is connected to the user device through the Internet of Things for real-time data transmission; the management module is used to execute remote control commands.

[0007] Furthermore, the shell includes a three-layer structure, the first layer is a stainless steel layer with a thickness of 2-4mm; the second layer is a nano-ceramic coating with a thickness of 0.5-1mm; the third layer is an external polymer corrosion-resistant coating with a thickness of 1-2mm; the internal connection of the shell adopts a double-layer sealing gasket structure, the inner layer is made of high-temperature silicone material, and the outer layer is made of fluororubber material

[0008] Furthermore, the environmental monitoring module is connected to the internal space of the shell through an integrated sensor assembly, and the integrated sensor assembly includes temperature, humidity, pressure, gas concentration and vibration sensors. These sensors are embedded in an independent sensor cavity of the junction box in an isolated installation manner. The sensor cavity is isolated from the external environment by a corrosion-resistant coating and a heat-insulating material to avoid interference of environmental changes on the measurement accuracy of the sensor. The data acquisition of each sensor is connected to the central processing unit through a multi-channel parallel bus, which can realize simultaneous monitoring of multiple physical quantities and synchronous data processing.

[0009] Furthermore, the central processing unit is arranged on an anti-seismic bracket inside the junction box, the anti-seismic bracket is composed of multiple layers of elastic shock-absorbing material and is connected to the inner wall of the junction box through multiple flexible connectors, the central processing unit and the power module are connected through a main power line and an auxiliary power line, the main power line is wrapped with double insulation material and connected to an external power supply through an explosion-proof connector, and the auxiliary power line is connected to an internal backup battery.

[0010] Furthermore, the intelligent fault diagnosis module is arranged in an independent sealed compartment, the sealed compartment is made of aluminum alloy, and the outer surface of the sealed compartment is coated with an antistatic coating. The intelligent fault diagnosis module includes a fault memory and a real-time analysis chip. The fault memory is used to store fault history data, and the analysis chip performs real-time analysis and fault prediction on the monitoring data based on a multi-layer logic judgment algorithm.

[0011] Furthermore, the multi-layer logic judgment algorithm is based on the following algorithm:

[0012] Among them, w is the weight of the support vector, C is the penalty coefficient, ξ i is the error variable, N is the number of samples, and by optimizing the objective function, a fault report is generated and the fault type is identified.

[0013] Furthermore, the inner surface of the shell is covered with a layer of flexible thermal insulation material, which is a composite fiber structure with high temperature resistance. The composite fiber structure is a porous tunnel-like structure, and the thermal insulation material is bonded to the shell by an adhesive.

[0014] Furthermore, the management module has a permission management system based on blockchain, which ensures the security of remote control commands through the elliptic curve digital signature algorithm. The signature generation formula is: r = (k·G) x mod n,s=k -1 (z+r·d)mod n, where k is a random number, G is a generator, z is a hash value, d is a private key, and n is a prime number. This ensures that control commands from different users can be executed only after encryption verification. The management module integrates a permission management system based on blockchain technology, and encrypts and verifies remote control commands through the elliptic curve digital signature algorithm to ensure that control commands are not tampered with or misoperated during transmission, thereby ensuring the security of equipment operation and the integrity of data transmission.

[0015] On the other hand, a method for implementing the intelligent explosion-proof junction box for offshore oil platforms as described in claim 1 comprises the following steps: S1, initializing the environmental monitoring module, starting a number of sensor modules installed in the junction box, converting the collected analog signals into digital signals, and transmitting them to the central processing unit; S2, the central processing unit receives the data transmitted by the environmental monitoring module, performs a preliminary analysis of the monitoring data through a predetermined algorithm, the analysis content includes real-time changes in environmental conditions and possible abnormal condition warnings, and generates an environmental monitoring report; S3, the intelligent fault diagnosis module performs real-time fault diagnosis based on the environmental data analysis results of the central processing unit, and when an abnormal condition is detected, immediately generates a fault report and records the time, location and cause of the fault; S4, through remote monitoring The control module transmits the processed monitoring data and fault diagnosis results to the user device through the Internet of Things system; S5, the management module receives the remote control command sent by the user device and executes the remote management operation of the junction box. The control command includes resetting the equipment status, adjusting the operating parameters, and remotely starting or shutting down the function; S6: The central processing unit stores all monitoring data, analysis results and fault diagnosis reports in the internal storage unit at the same time. The management module regularly backs up the data and uploads it to the remote server; the central processing unit classifies and stores all monitoring data, analysis results and fault reports, and regularly uploads them to the remote server through the management module, forming a complete fault log management system, which is convenient for the subsequent analysis, maintenance and optimization of the equipment status, and further improves the reliability and maintainability of the equipment.

[0016] Beneficial effects: The shell is made of multi-layer composite explosion-proof materials, the inner layer of which is a high-strength alloy substrate and the outer surface is coated with a corrosion-resistant coating to ensure the explosion-proof and corrosion-resistant performance of the equipment in the marine environment;

[0017] The multiple sensors integrated in the environmental monitoring module can realize real-time monitoring of the junction box and its surrounding environment, ensuring accurate collection of multiple physical quantities in a complex marine environment. The multi-channel parallel data transmission system enables synchronous processing of different physical quantities, greatly improving data reliability and monitoring accuracy.

[0018] The intelligent fault diagnosis module is based on a multi-layer logical judgment algorithm and performs real-time analysis of monitoring data. It can predict potential faults in advance, generate fault reports, and issue early warnings. This fault warning function avoids the lag of maintenance after equipment is damaged, improves the timeliness of maintenance, reduces unexpected downtime, and significantly improves the overall reliability of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 The present invention is a schematic diagram of the working process of an intelligent explosion-proof junction box used in an offshore oil platform. DETAILED DESCRIPTION

[0020] In order to deepen the understanding of the present invention, the present invention will be further described in detail below in conjunction with embodiments and drawings. The embodiments are only used to explain the present invention and do not constitute a limitation on the protection scope of the present invention.

[0021] Please see Figure 1 , an intelligent explosion-proof junction box for an offshore oil platform, comprising a shell, an environmental monitoring module, a central processing unit, an intelligent fault diagnosis module, a remote monitoring module, and a management module. The shell is made of a multi-layer composite explosion-proof material, the inner layer of the shell is a high-strength alloy substrate, and the outer surface of the shell is coated with a corrosion-resistant coating; the environmental monitoring module comprises a number of sensor modules, the sensor modules are used to monitor temperature, humidity, gas concentration and vibration in real time, and summarize and analyze the monitoring data through the central processing unit; the intelligent fault diagnosis module is used to perform real-time analysis on the data collected by the environmental monitoring module, and judge the fault condition through a set logic algorithm to generate a fault report; the remote monitoring module is connected to the user device through the Internet of Things for real-time data transmission; the management module is used to execute remote control commands.

[0022] The shell consists of three layers. The first layer is a stainless steel layer with a thickness of 2-4mm; the second layer is a nano-ceramic coating with a thickness of 0.5-1mm; the third layer is an external polymer corrosion-resistant coating with a thickness of 1-2mm; the internal connection of the shell adopts a double-layer sealing gasket structure, the inner layer is made of high-temperature silicone material, and the outer layer is made of fluororubber material

[0023] The environmental monitoring module is connected to the internal space of the shell through an integrated sensor assembly. The integrated sensor assembly includes temperature, humidity, pressure, gas concentration and vibration sensors. These sensors are embedded in the independent sensor cavity of the junction box in an isolated installation manner. The sensor cavity is isolated from the external environment by corrosion-resistant coating and thermal insulation materials to avoid interference of environmental changes on the measurement accuracy of the sensor. The data acquisition of each sensor is connected to the central processing unit through a multi-channel parallel bus, which can realize simultaneous monitoring of multiple physical quantities and synchronous data processing.

[0024] The central processing unit is installed on the seismic-resistant bracket inside the junction box. The seismic-resistant bracket is made of multiple layers of elastic shock-absorbing materials and is connected to the inner wall of the junction box through multiple flexible connectors. The central processing unit and the power module are connected through the main power line and the auxiliary power line. The main power line is wrapped with double insulation material and connected to the external power supply through an explosion-proof connector. The auxiliary power line is connected to the internal backup battery.

[0025] The intelligent fault diagnosis module is located in an independent sealed compartment, which is made of aluminum alloy. The outer surface of the sealed compartment is coated with an antistatic coating. The intelligent fault diagnosis module includes a fault memory and a real-time analysis chip. The fault memory is used to save fault history data. The analysis chip performs real-time analysis and fault prediction on the monitoring data based on a multi-layer logic judgment algorithm.

[0026] The multi-layer logic judgment algorithm is based on the following algorithm: Among them, w is the weight of the support vector, C is the penalty coefficient, ξ i is the error variable, N is the number of samples, and by optimizing the objective function, a fault report is generated and the fault type is identified.

[0027] The inner surface of the shell is covered with a layer of flexible heat-insulating material, which is a composite fiber structure with high temperature resistance. The composite fiber structure is a porous tunnel-shaped structure. The heat-insulating material is bonded to the shell by an adhesive.

[0028] The management module has a permission management system based on blockchain, which ensures the security of remote control commands through the elliptic curve digital signature algorithm. The signature generation formula is:

[0029] r=(k·G) x mod n,s=k -1 (z+r·d)mod n, where k is a random number, G is a generator, z is a hash value, d is a private key, and n is a prime number. This is used to ensure that control commands of different users can be executed only after encryption verification.

[0030] The method comprises the following steps: S1, initializing the environment monitoring module, starting several sensor modules installed in the junction box, converting the collected analog signals into digital signals, and transmitting them to the central processing unit; S2, the central processing unit receives the data transmitted by the environment monitoring module, and performs preliminary analysis on the monitoring data through a predetermined algorithm, wherein the analysis content includes real-time changes in the environment state and possible abnormal condition warnings, and generates an environment monitoring report; S3, the intelligent fault diagnosis module performs real-time fault diagnosis based on the environmental data analysis results of the central processing unit, and immediately generates a fault report when an abnormal state is detected, and records the time, location and cause of the fault; S4, through the remote monitoring module, the processed monitoring data and fault diagnosis results are transmitted to the user device through the Internet of Things system; S5, the management module receives the remote control command sent by the user device, and performs remote management operations on the junction box, wherein the control command includes resetting the device state, adjusting the operating parameters, and remotely starting or shutting down the function; S6: the central processing unit stores all monitoring data, analysis results and fault diagnosis reports in the internal storage unit at the same time, and the management module regularly backs up the data and uploads it to the remote server.

[0031] For the purpose of greater clarity, the invention is described in detail through the following examples.

[0032] In a specific embodiment, the specific structure of the junction box shell is as follows: the first layer: 3mm thick 316L stainless steel is used, which has excellent corrosion resistance and explosion-proof strength, and can withstand corrosion in high salinity and humidity environments of offshore platforms. The pressure test shows that its maximum pressure is 10MPa; the second layer: 0.7mm thick nano-ceramic thermal insulation coating, which can effectively isolate high-temperature environments. After high-temperature experiments, the coating can withstand instantaneous temperatures of up to 1000°C and keep the internal temperature below 65°C to ensure the safety of internal components; the third layer: the outside is a 1.5mm thick polytetrafluoroethylene corrosion-resistant coating, which can effectively prevent salt spray corrosion. After 500 hours of salt spray testing, the outer coating has no obvious signs of corrosion, and the coating adhesion meets the ISO 2409 standard and is grade 1.

[0033] In addition, the internal connections of the shell adopt a double-layer sealing gasket design. The inner layer is high-temperature silicone with a temperature resistance range of -60℃ to +300℃, and the outer layer is fluororubber with a temperature resistance range of -40℃ to +250℃, which can ensure airtightness. Experiments show that the sealing of the junction box can remain leak-free for 8 hours under a pressure of 0.2MPa.

[0034] In a specific embodiment, the environmental monitoring module includes five sensors: a temperature sensor, a humidity sensor, a gas concentration sensor, a pressure sensor and a vibration sensor, and the specific parameters are as follows: Temperature sensor: The measuring range is -40°C to +120°C, and the accuracy is ±0.5°C. Multi-point temperature monitoring is performed by placing three temperature sensors in different areas; Humidity sensor: The measuring range is 0-100% RH, and the accuracy is ±2% RH. It is used to monitor the humidity inside the junction box to ensure that the equipment works in a suitable environment; Gas concentration sensor: The measuring range is 0-100% LEL, and it is used to monitor the leakage of combustible gases. Test data shows that its response time is less than 15 seconds; Pressure sensor: The measuring range is 0-2MPa, and the accuracy is ±0.1MPa. It monitors internal pressure changes to ensure sealing performance; Vibration sensor: The sensitivity is 10mV / g, and the frequency response range is 1-1000Hz, and it is used to detect equipment vibration.

[0035] All sensor data is transmitted to the central processing unit through a multi-channel bus, and an isolated installation method is used to isolate the sensor cavity from the inside of the junction box to avoid interference from the external environment. After experiments, the sensor works normally in extreme environments, and the data collection error is less than 0.5%.

[0036] In a specific embodiment, the central processing unit adopts an ARM Cortex-A53 quad-core processor with a main frequency of 1.4GHz, built-in 4GB RAM and 64GB storage, and has efficient data processing capabilities. The central processing unit is installed through a seismic bracket, which is composed of three layers of elastic materials, namely: the first layer is natural rubber with a thickness of 5mm; the second layer is polyurethane material with a thickness of 3mm; the third layer is soft silicone with a thickness of 2mm; the bracket is fixed to the shell through four flexible connectors. After vibration testing, in an environment with a vibration acceleration of 2g at a frequency of 15Hz, the displacement of the central processing unit is less than 0.5mm, ensuring its stability.

[0037] In a specific embodiment, the intelligent fault diagnosis module is composed of a fault memory and an analysis chip. The chip analyzes the sensor data based on a multi-layer logic judgment algorithm. The fault diagnosis module is installed in an independent compartment in the junction box. The outside of the compartment is coated with an antistatic coating. The antistatic ability meets the IEC 61000-4-2 standard and can prevent electrostatic interference. After experimental verification, the intelligent fault diagnosis module can monitor the fault status in real time and generate a fault warning report when the gas concentration reaches 50% LEL, with an accuracy rate of 95%. In addition, the experiment simulates fault scenarios such as gas leakage and high temperature, and the response time of the intelligent diagnosis module is less than 20 seconds.

[0038] In a specific embodiment, the remote monitoring module realizes data communication with the external server through the 4G LTE network, with a data transmission rate of 10Mbps, and uploads monitoring data and fault reports in real time. The user can send control commands through the management module. The management module integrates a blockchain-based authority management system and uses an elliptic curve digital signature algorithm for command encryption. In the remote control experiment, the user is simulated to remotely reset and start the device. The execution time of the control command is 5 seconds, and all transmission commands have passed the authority verification, without any misoperation or information leakage.

[0039] In a specific embodiment, the central processing unit is connected to the external power supply through a double-insulated cable. The cable is composed of a silicone layer and a polyvinyl chloride layer. The cable has a voltage resistance of 500V. In a power-off experiment, the central processing unit continued to run for 24 hours after switching to the internal backup battery without shutting down. The backup battery capacity is 6000mAh.

[0040] In order to verify the overall performance of the junction box, the following tests were carried out: Salt spray resistance test: The junction box was placed in a salt spray test chamber and sprayed continuously for 500 hours. There was no obvious corrosion on the surface of the shell; High temperature experiment: The junction box was operated at 70°C for 48 hours, the internal temperature was kept below 60°C, and the internal components did not overheat; Vibration experiment: Under the conditions of 15Hz frequency and 2g acceleration, the vibration displacement of the junction box was less than 1mm, and the central processing unit worked normally; Gas leakage simulation: In the methane gas leakage experiment, when the gas concentration reached 50% LEL, the system issued an alarm, and the response time was 12 seconds.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. An intelligent explosion-proof junction box for an offshore oil platform, comprising a shell, an environmental monitoring module, a central processing unit, an intelligent fault diagnosis module, a remote monitoring module and a management module, wherein the shell is made of a multi-layer composite explosion-proof material, the inner layer of the shell is a high-strength alloy substrate, and the outer surface of the shell is coated with a corrosion-resistant coating; the environmental monitoring module comprises a plurality of sensor modules, the sensor modules are used to monitor temperature, humidity, gas concentration and vibration in real time, and summarize and analyze the monitoring data through the central processing unit; the intelligent fault diagnosis module is used to perform real-time analysis on the data collected by the environmental monitoring module, and judge the fault situation through a set logic algorithm to generate a fault report; the remote monitoring module is connected to a user device through the Internet of Things for real-time data transmission; the management module is used to execute remote control commands.

2. The intelligent explosion-proof junction box for an offshore oil platform according to claim 1, characterized in that The shell includes a three-layer structure, the first layer is a stainless steel layer with a thickness of 2-4mm; the second layer is a nano-ceramic coating with a thickness of 0.5-1mm; the third layer is an external polymer corrosion-resistant coating with a thickness of 1-2mm; the internal connection of the shell adopts a double-layer sealing gasket structure, the inner layer is made of high-temperature silicone material, and the outer layer is made of fluororubber material.

3. The intelligent explosion-proof junction box for an offshore oil platform according to claim 1, characterized in that: The environmental monitoring module is connected to the internal space of the shell through an integrated sensor assembly. The integrated sensor assembly includes temperature, humidity, pressure, gas concentration and vibration sensors. These sensors are embedded in an independent sensor cavity of the junction box in an isolated installation manner. The sensor cavity is isolated from the external environment by a corrosion-resistant coating and a heat-insulating material to avoid interference of environmental changes on the measurement accuracy of the sensor. The data acquisition of each sensor is connected to the central processing unit through a multi-channel parallel bus, which can realize simultaneous monitoring of multiple physical quantities and synchronous data processing.

4. The intelligent explosion-proof junction box for an offshore oil platform according to claim 1, characterized in that: The central processing unit is arranged on an anti-seismic bracket inside the junction box. The anti-seismic bracket is composed of multiple layers of elastic shock-absorbing materials and is connected to the inner wall of the junction box through multiple flexible connectors. The central processing unit is connected to the power module through a main power line and an auxiliary power line. The main power line is wrapped with double insulation material and is connected to an external power supply through an explosion-proof connector. The auxiliary power line is connected to an internal backup battery.

5. The intelligent explosion-proof junction box for an offshore oil platform according to claim 1, characterized in that: The intelligent fault diagnosis module is arranged in an independent sealed compartment, which is made of aluminum alloy. The outer surface of the sealed compartment is coated with an antistatic coating. The intelligent fault diagnosis module includes a fault memory and a real-time analysis chip. The fault memory is used to store fault history data, and the analysis chip performs real-time analysis and fault prediction on the monitoring data based on a multi-layer logic judgment algorithm.

6. The intelligent explosion-proof junction box for an offshore oil platform according to claim 5, characterized in that: The multi-layer logic judgment algorithm is based on the following algorithm: Among them, w is the weight of the support vector, C is the penalty coefficient, ξ i is the error variable, N is the number of samples, and by optimizing the objective function, a fault report is generated and the fault type is identified.

7. The intelligent explosion-proof junction box for an offshore oil platform according to claim 1, characterized in that: The inner surface of the shell is covered with a layer of flexible heat-insulating material, which is a composite fiber structure with high temperature resistance. The composite fiber structure is a porous tunnel-shaped structure. The heat-insulating material is bonded to the shell by an adhesive.

8. The intelligent explosion-proof junction box for an offshore oil platform according to claim 1, characterized in that: The management module has a permission management system based on blockchain, and the security of remote control commands is ensured by the elliptic curve digital signature algorithm. The signature generation formula is: r = (k·G) x mod n,s=k -1 (z+r·d)mod n, where k is a random number, G is a generator, z is a hash value, d is a private key, and n is a prime number. This is used to ensure that control commands of different users can be executed only after encryption verification.

9. A method for implementing the intelligent explosion-proof junction box for an offshore oil platform according to claim 1, characterized in that: The method comprises the following steps: S1, initializing the environment monitoring module, starting a number of sensor modules installed in the junction box, converting the collected analog signals into digital signals, and transmitting the signals to the central processing unit; S2, the central processing unit receives the data transmitted by the environment monitoring module, and performs a preliminary analysis on the monitoring data through a predetermined algorithm, wherein the analysis content includes the real-time changes of the environment state and possible abnormal condition warnings, and generates an environment monitoring report; S3, the intelligent fault diagnosis module performs real-time fault diagnosis based on the environmental data analysis results of the central processing unit, and immediately generates a fault report when an abnormal condition is detected, and records the time, location and cause of the fault; S4. Through the remote monitoring module, the processed monitoring data and fault diagnosis results are transmitted to the user device through the Internet of Things system; S5. The management module receives the remote control command sent by the user device and performs remote management operations on the junction box. The control commands include resetting the device status, adjusting the operating parameters, and remotely starting or shutting down the function; S6: The central processing unit stores all monitoring data, analysis results and fault diagnosis reports in the internal storage unit at the same time. The management module regularly backs up the data and uploads it to the remote server.

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