Leakage protection system and method with parameter self-adaption and fault prediction functions

Abstract

The invention discloses an electric leakage protection system and method with parameter self-adaption and fault prediction, the system is composed of a plurality of three-level distribution boxes and a fault recording module, each three-level distribution box realizes data transmission and interconnection through a LoRa ad hoc network technology, and can automatically identify a network topology structure and perform node distribution; the third-stage distribution box comprises a distribution box, a second-stage distribution box and a tail-end distribution box, and an electric leakage protection unit, a temperature and humidity sensor, a data acquisition unit, a data processing unit and a LoRa communication module are integrated in the third-stage distribution box. And a multivariable real-time monitoring adaptive parameter configuration function is introduced. When the environment humidity or temperature exceeds a set threshold value, the system can automatically adjust the action constant value and the action time of leakage protection. Specifically, the leakage protection sensitivity is increased in a humid environment, and the current power supply of the distribution box is automatically cut off when the temperature is too high, so that the fire risk is prevented.

Description

Technical Field

[0001] The present application relates to the technical field of power system protection, and in particular to a leakage protection system and method with parameter adaptation and fault prediction. Background Art

[0002] In the three-level power distribution system, some control methods have the function of distribution box management, but lack the specific mechanism of adaptive adjustment of leakage protection based on environmental parameters. Its protection mechanism is mainly based on remote monitoring and management, but does not elaborate on the data waveform recording and visualization function when the fault occurs.

[0003] The existing power distribution management strategy, although involving multi-level power distribution management, does not include a fault linkage tripping mechanism between levels. The low-voltage distribution lines and carrier communication units used for electrical and communication connections do not cover wireless ad hoc networking functions, and rarely involve real-time response mechanisms for environmental monitoring. Summary of the invention

[0004] The present application provides a leakage protection system and method with parameter adaptation and fault prediction to solve the above problems.

[0005] On the one hand, the present application provides a leakage protection system with parameter adaptation and fault prediction. The system consists of multiple three-level distribution boxes and fault recording modules. Each three-level distribution box realizes data transmission and interconnection through LoRa self-organizing network technology, and can automatically identify the network topology and perform node allocation; the three-level distribution box includes a distribution box, a secondary distribution box, and a terminal distribution box. The three-level distribution box integrates a leakage protection unit, a temperature and humidity sensor, a data acquisition unit, a data processing unit, and a LoRa communication module.

[0006] In one implementation of the present application, the three-level distribution box realizes data interaction with the cloud through a gateway. The gateway supports 4G and Ethernet connections and provides online or offline working modes.

[0007] In one implementation of the present application, the fault recording module is used to generate a fault waveform diagram, record the current and voltage changes when a fault occurs, and provide data support for subsequent fault analysis. All recorded data will be stored in the cloud and local database to facilitate management personnel to track and analyze faults.

[0008] In one implementation of the present application, the system also includes a gateway machine, which is used for data aggregation, remote monitoring, fault alarm and waveform generation of the power system at the construction site. The gateway machine has two working modes: remote monitoring and local monitoring, to adapt to the poor network environment in some remote areas.

[0009] In one implementation of the present application, the gateway machine has the functions of upward communication and downward communication. When communicating upward, it communicates with each distribution box through the LoRa module to obtain distribution box information, leakage protection value, electrical data, fault data, and can remotely configure leakage protection value and remotely control switch tripping; when communicating downward, it uses 4G communication and Ethernet communication to realize information access to the Internet, and personnel can remotely control and configure through mobile phone apps and web pages, and view basic information and fault information.

[0010] In one implementation of the present application, the gateway machine is also used for fault waveform generation and intelligent fault prediction. Fault waveform generation is specifically: the collected electrical information and fault information of each three-level distribution box is plotted into a visual waveform diagram to intuitively display the power status and fault status; intelligent fault prediction is specifically: the server is configured with a large distribution box fault model. When the gateway machine is connected to the Internet, the server can analyze the power and fault information uploaded by the gateway machine, analyze the cause of the fault, intelligently determine the fault type, and predict common faults.

[0011] The present application also provides a leakage protection method with parameter adaptation and fault prediction, applying the leakage protection system with parameter adaptation and fault prediction as described above, the method comprising:

[0012] After the system is started, the three-level distribution box is connected to the gateway through the LoRa communication module. The network level of the three-level distribution box is manually configured on the management page of the gateway or through a visual graphical interface. After the network connection is completed, the system will automatically identify the hierarchical structure of each distribution box.

[0013] After the hierarchical configuration is completed, the system will automatically configure the leakage protection action value and action time for each distribution box according to the level where the distribution box is located, ensuring the correct coordination of actions between levels and realizing intelligent protection of the distribution box;

[0014] According to changes in the construction site environment, the system can monitor the temperature and humidity data in the distribution box in real time, and automatically adjust the sensitivity of the leakage protection. According to the level of the distribution box, the system can intelligently adjust the leakage protection action value and time of the switch to adapt to the risks of different working environments.

[0015] In one implementation of the present application, the method also includes: when the system detects leakage or other electrical faults, the gateway machine automatically generates a fault waveform diagram, records fault data such as current, voltage and residual current in real time, and stores the data through the cloud or local database for subsequent analysis and troubleshooting.

[0016] In one implementation of the present application, the method further includes:

[0017] The system automatically analyzes the cause of the fault through the big data model configured on the cloud server, and generates an analysis report on the fault type in real time, helping managers to locate and handle the fault in a timely manner;

[0018] Based on the analysis of historical current data and temperature inside the box, the system can intelligently predict potential leakage faults or fire risks, and send danger warning signals to managers through the gateway so that countermeasures can be taken in advance;

[0019] When the system detects an abnormal increase in temperature inside the box and determines that there is a fire risk, the distribution box will automatically cut off all switches and send instructions through the gateway to cut off the circuit switches corresponding to the upper-level distribution box, thereby achieving linkage tripping of the faulty circuit to ensure safety.

[0020] The present application provides a leakage protection system and method with parameter adaptation and fault prediction, which has the following beneficial effects:

[0021] (1) The adaptive parameter configuration function of multi-variable real-time monitoring is introduced. When the ambient humidity or temperature exceeds the set threshold, the system will automatically adjust the leakage protection action value and action time. Specifically, the leakage protection sensitivity is increased in a humid environment, and the power supply of the current distribution box is automatically cut off when the temperature is too high to prevent fire risks;

[0022] (2) Through data collection and big data model analysis, your system can predict potential leakage risks or fires based on historical current and temperature data, and issue early warning signals. This function enables the system to have predictive maintenance capabilities and improve safety;

[0023] (3) When a fault occurs, a fault waveform diagram is automatically generated, and fault data such as current, voltage, and residual current are recorded and stored. These data can be stored in the cloud or local database for subsequent analysis and troubleshooting; a hierarchical management and linkage tripping mechanism for the three-level distribution box is designed. When a fault risk is detected in a certain level of distribution box (such as excessive temperature causing a fire risk), the system will not only automatically cut off the faulty distribution box, but also link and cut off the related circuits of the upper level distribution box to achieve linkage tripping of the fault circuit.

[0024] (4) The self-organizing network function implemented by the LoRa module ensures that each distribution box can automatically identify the network topology and allocate nodes, supporting the flexible deployment and real-time communication of the system in complex construction environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0026] Figure 1 An architecture diagram of a leakage protection system with parameter adaptation and fault prediction provided in an embodiment of the present application;

[0027] Figure 2 A flowchart of cloud service and gateway information exchange provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0029] The embodiment of the present application provides a leakage protection system and method with parameter adaptation and fault prediction. The technical solution proposed in the embodiment of the present application is described in detail below with reference to the accompanying drawings.

[0030] Figure 1 This is a diagram of the architecture of a leakage protection system with parameter adaptation and fault prediction provided in an embodiment of the present application. Figure 1 As shown, the system is mainly composed of multiple three-level distribution boxes and fault recording modules. Each three-level distribution box realizes data transmission and interconnection through LoRa self-organizing network technology, and can automatically identify the network topology and perform node allocation; the three-level distribution box includes a distribution box, a secondary distribution box, and a terminal distribution box. The three-level distribution box integrates a leakage protection unit, a temperature and humidity sensor, a data acquisition unit, a data processing unit, and a LoRa communication module.

[0031] Furthermore, the specific structure of each module is as follows: The internal structure of the intelligent distribution box is the core hardware component of the system, and it integrates a variety of functional units to ensure real-time monitoring and intelligent management: (1) Intelligent switch: Controls the on and off of the circuit and has a leakage protection function. The action current and action time of the leakage protection can be set through the remote management system. (2) Temperature and humidity sensor: Real-time monitoring of the ambient humidity and temperature inside the distribution box, and feedback of the data to the control unit. The sensor not only supports the monitoring of environmental data, but also can be linked with the leakage protection unit. When the temperature and humidity are abnormal, it automatically adjusts the action setting of the leakage protection to improve the response speed of the system. (3) Data acquisition unit: Collects electrical parameters (such as current, voltage, residual current, etc.) in the distribution box and transmits the data to the data collection unit. (4) Data interface module: Communicates with the devices inside the distribution box (such as intelligent switches, temperature and humidity sensors, electronic door locks, etc.) through the RS485 interface to collect various electrical and environmental data. (5) Data processing module: Formats, packages and preprocesses the collected data to generate standardized data packets for uploading to the LoRa module for transmission. (6) Uplink communication module: The processed data is uploaded to the gateway through the LoRa module. It supports remote data transmission and self-organizing network functions to ensure that data can flow seamlessly at the construction site, support a wide coverage range, and adapt to complex construction environments.

[0032] The internal structure of the LoRa communication module is the data transmission core of the entire system, responsible for data transmission between distribution boxes: (1) Self-organizing network function: automatically discover adjacent distribution boxes and automatically configure the wireless network topology to form a stable star network structure. Support highly flexible self-organizing network functions to adapt to different construction site environments, ensure real-time data exchange between devices and dynamic adaptability of the system. (2) Data transmission module: regularly send data to the gateway and receive control instructions from the gateway to ensure data flow between the distribution box and the gateway.

[0033] The internal structure of the gateway is a bridge connecting field equipment and the cloud, ensuring data aggregation, storage and remote monitoring: (1) Data storage module: built-in large-capacity storage, used to store historical data, fault records and waveform data collected from the distribution box. The local storage capacity is strong, and the integrity of the data can still be guaranteed in offline conditions. It also supports data caching to ensure that data is not lost. (2) Communication module: supports dual connections of 4G and Ethernet to ensure stable and reliable data transmission. Supports dual-mode operation. Regardless of how the network environment changes, the gateway can maintain a stable connection with the cloud platform and adapt to the network conditions of various construction sites. (3) Security verification module: establishes a secure connection with the cloud platform through identity identification codes and encryption protocols to ensure the security and reliability of the data transmission process.

[0034] The cloud platform management module structure is the central management and data analysis center of the system, providing remote monitoring and configuration functions: (1) User management module: Set user permissions at different levels to control the access rights of administrators, electricians, safety officers and other roles. (2) Data analysis module: Perform big data analysis on the real-time and historical data of each distribution box, provide fault warnings and system optimization suggestions. Built-in intelligent algorithms support predictive maintenance and fault warnings, and can analyze system operation status based on historical data to provide decision support for managers. (3) Data storage module: Use MySQL database to store real-time data, historical data and fault records of all distribution boxes, supporting big data analysis.

[0035] The connection relationship between each module is as follows: the internal connection of the distribution box, each component (such as smart switch, temperature and humidity sensor, electronic door lock, etc.) is connected to the data collection unit through the RS485 interface. The functions of the data collection unit include: (1) Data collection and packaging: Collect and organize data from each device (including current, voltage, residual current, temperature and humidity, etc.). (2) Data transmission to the LoRa module: The aggregated data is transmitted to the LoRa communication module through the data processing unit to prepare for the subsequent remote transmission of data.

[0036] The connection between the distribution boxes, each distribution box realizes wireless communication through the LoRa self-organizing network function, forming a stable star network topology. The specific connection methods include: (1) Automatic network connection: The LoRa communication module automatically identifies the nearby distribution boxes and establishes a network connection to ensure that the distribution boxes at the construction site can communicate with each other. (2) Automatic generation of leakage protection parameters: Each distribution box automatically generates corresponding leakage protection parameters according to its level (main distribution box, secondary distribution box, terminal distribution box) to ensure the correct coordination of the system level. (3) Data transmission and exchange: Each distribution box transmits electrical data, environmental data and fault information to each other through the LoRa wireless communication module.

[0037] The gateway is connected to the distribution box, and the gateway communicates data with all distribution boxes through LoRa wireless communication to ensure efficient data transmission between the distribution boxes and the gateway at the construction site. The specific functions are as follows: (1) Data aggregation and upload: The gateway aggregates data from each distribution box, including electrical information, temperature and humidity data, fault information, etc., and uploads this information to the cloud platform for storage and further analysis. (2) Support online and offline modes: The gateway supports 4G or Ethernet connection, and can automatically switch to offline working mode when the network is unstable, and synchronize data after the network is restored to ensure the integrity and real-time nature of the system data.

[0038] The cloud platform is connected to the gateway, and the cloud platform is connected to multiple gateways through the network to achieve remote access to system data. The specific connection relationships include: (1) Remote access: The cloud platform connects to multiple distribution boxes through the gateway to obtain the electrical data, environmental data and fault information of the distribution boxes. (2) Identity authentication and data encryption: Each gateway establishes a secure connection with the cloud platform by carrying an identity identification code at startup to ensure the security and reliability of the data transmission process. (3) Data storage and processing: The cloud platform is responsible for storing the data uploaded from the gateway and performing big data analysis to provide support for fault prediction, fault analysis and fault report generation.

[0039] User terminal and system access: Users can access the cloud platform through a PC or mobile device (mobile phone app) to achieve remote management of the entire construction site power system. Offline access to the system can also be achieved by directly accessing the gateway machine through a PC. Specific connection functions include: (1) Monitoring and configuration management: Users can monitor the operating status of each distribution box through the gateway machine or cloud platform, view real-time electrical data and environmental information, and adjust leakage protection parameters to ensure safe operation of the system. (2) Data query and alarm: Users can view historical data, fault information and alarm records to locate and analyze faults. (3) Secure communication protocol: All communications between user terminals and gateway machines or cloud platforms use encryption protocols to ensure that data is not subject to external interference and attacks during transmission.

[0040] The above is a leakage protection system with parameter adaptation and fault prediction provided by an embodiment of the present application. Based on the same inventive concept, an embodiment of the present application also provides a leakage protection method with parameter adaptation and fault prediction, which mainly includes: after the system is started, the three-level distribution box is connected to the gateway machine through the LoRa communication module, and the network level of the three-level distribution box is manually configured on the management page of the gateway machine, or configured through a visual graphical interface. After the network connection is completed, the system will automatically identify the hierarchical structure of each distribution box; after the hierarchical configuration is completed, the system will automatically configure the leakage protection action value and action time for each distribution box according to the level of the distribution box, to ensure correct coordination of the actions between the levels, and realize intelligent protection of the distribution box; according to changes in the construction site environment, the system can monitor the temperature and humidity data in the distribution box in real time, and automatically adjust the sensitivity of the leakage protection, and intelligently adjust the leakage protection action value and time of the switch according to the level of the distribution box to adapt to the risks of different working environments.

[0041] In an embodiment of the present application, the method also includes: when the system detects leakage or other electrical faults, the gateway machine automatically generates a fault waveform diagram, records fault data such as current, voltage and residual current in real time, and stores the data through the cloud or local database for subsequent analysis and troubleshooting.

[0042] In an embodiment of the present application, the method also includes: the system automatically analyzes the cause of the fault through the big data model configured on the cloud server, and generates an analysis report on the fault type in real time to help managers locate and handle faults in a timely manner; based on the analysis of historical current data and the temperature inside the box, the system can intelligently predict potential leakage faults or fire risks, and send danger warning signals to managers through the gateway to take countermeasures in advance; when the system detects an abnormal increase in the temperature inside the box and determines it as a fire risk, the distribution box will automatically cut off all switches and send instructions through the gateway to cut off the circuit switch corresponding to the upper-level distribution box, so as to achieve linkage tripping of the faulty circuit to ensure safety. The cloud service and gateway information exchange flow chart is as follows Figure 2 shown.

[0043] The system deployment and operation process is as follows: system deployment and initialization, adaptive parameter configuration, fault recording and data recording, fault alarm and response, system monitoring and remote configuration.

[0044] Among them, the system deployment and initialization are specifically as follows: (1) Equipment installation and access: Step 1: Install three-level distribution boxes (main distribution box, secondary distribution box, terminal distribution box) at the construction site to ensure that each distribution box integrates leakage protection unit, temperature and humidity sensor, LoRa communication module and fault recording module. Step 2: All distribution boxes are powered on and started, and wireless connection is established with the gateway through the LoRa communication module to initially form a wireless communication network. Step 3: The distribution box and the gateway complete the initial connection, and the gateway communicates with the cloud platform through 4G or Ethernet to ensure smooth real-time data transmission and remote management. (2) Manual configuration of network level: Step 4: System engineers manually configure the level of the distribution box (main distribution box, secondary distribution box, terminal distribution box) on the management page or visual interface of the gateway. After completion, the system automatically identifies each level and executes the next step. (3) Automatic leakage protection parameter configuration: Step 5: The system automatically configures the leakage protection action value and action time of each distribution box according to the hierarchical structure of the distribution box to ensure that the protection parameters between the levels are correctly coordinated.

[0045] The specific adaptive parameter configuration is as follows: (1) Humidity monitoring and parameter adjustment: Step 1: The temperature and humidity sensor monitors the humidity and temperature data in the distribution box in real time and feeds the data back to the control unit. Step 2: When the humidity or temperature exceeds the set threshold, the system adaptively adjusts the sensitivity and tripping time of the leakage protection according to the environmental data. The system increases sensitivity in a humid environment and triggers a fire alarm and automatic power-off mechanism when the temperature is too high. (2) Parameter effectiveness and real-time adjustment: Step 3: After all distribution boxes are connected to the network, the leakage protection parameters are dynamically adjusted according to the real-time humidity and temperature data to ensure the stable operation of the system in different environments.

[0046] Fault recording and data recording are specifically as follows: (1) Data acquisition and storage: Step 1: After the system is started, the analog update task collects real-time leakage current data once a second, and writes the collected data and time stamp into the circular queue. When the queue is full, the old data is cleared and the new data is retained. Step 2: The fault recording module in the distribution box will periodically record the current and voltage change data, generate a leakage waveform diagram, and store the relevant data in the system. (2) Fault detection and recording trigger: Step 3: The leakage protection detection is carried out with a cycle of 20ms. After exceeding the set value, a delay timing is performed. When the delay time is reached, the tripping operation is performed to form a protection event record. Step 4: According to the protection event recording time, it is compared with the recording time in the leakage current circular queue. After finding the queue position, the leakage current amplitude of the protection event record is written into the circular queue, and then the circular queue data is copied to another memory space leakage waveform recording event queue to form a leakage waveform event record. (3) Data upload and storage: Step 5: All fault data is uploaded to the cloud platform through the gateway machine or stored in the local database of the gateway machine to ensure data integrity and facilitate subsequent troubleshooting.

[0047] The fault alarm and response are as follows: (1) Fault alarm: Step 1: When a fault such as leakage or abnormal temperature occurs, the gateway machine will immediately upload the fault information to the cloud platform and notify the management personnel. Step 2: The management platform triggers an alarm, displays the location, waveform and fault type of the faulty distribution box, so that on-site personnel or remote administrators can quickly understand the fault details. (2) Fault location and processing: Step 3: The system analyzes the fault information based on the large model in the cloud server, automatically determines the fault type and generates a fault cause analysis report. Step 4: The management personnel can quickly locate the fault point through the cloud platform or local monitoring, and view detailed waveforms and electrical data. (3) Tripping linkage mechanism: Step 5: When the temperature is too high and the system determines that there is a fire risk, it will automatically cut off all switches in the current distribution box, and link the tripping of the corresponding circuit of the upper-level distribution box to achieve the operation of linkage cutting off the faulty circuit.

[0048] System monitoring and remote configuration are specifically as follows: (1) Real-time monitoring and data viewing: Step 1: The administrator monitors the status of the distribution box in real time through the gateway machine and the cloud platform, including leakage protection settings, temperature and humidity data, and current fault conditions, to ensure that the system is in a safe operating state. (2) Remote configuration and adjustment: Step 2: The administrator can adjust the leakage protection parameters of the distribution box through remote operation. All operations can be set through a visual interface to ensure that the configuration process is convenient and efficient. Step 3: The system supports online and offline working modes. When the network connection is normal, the administrator can perform real-time configuration online; when the network is interrupted, the system will automatically switch to offline mode to ensure that the equipment continues to work and synchronize data after the network is restored.

[0049] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0050] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0051] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A leakage protection system with parameter adaptation and fault prediction, characterized in that: The system consists of multiple three-level distribution boxes and fault recording modules. Each three-level distribution box realizes data transmission and interconnection through LoRa self-organizing network technology, and can automatically identify the network topology and perform node allocation; the three-level distribution box includes a distribution box, a secondary distribution box, and a terminal distribution box. The three-level distribution box integrates a leakage protection unit, a temperature and humidity sensor, a data acquisition unit, a data processing unit, and a LoRa communication module.

2. A leakage protection system with parameter adaptation and fault prediction according to claim 1, characterized in that: The three-level distribution box realizes data interaction with the cloud through a gateway. The gateway supports 4G and Ethernet connections and provides online or offline working modes.

3. A leakage protection system with parameter adaptation and fault prediction according to claim 1, characterized in that: The fault recording module is used to generate a fault waveform diagram, record the current and voltage changes when a fault occurs, and provide data support for subsequent fault analysis. All recorded data will be stored in the cloud and local database to facilitate management personnel to track and analyze faults.

4. A leakage protection system with parameter adaptation and fault prediction according to claim 1, characterized in that: The system also includes a gateway machine, which is used for data aggregation, remote monitoring, fault alarm and waveform generation of the power system on the construction site. The gateway machine has two working modes: remote monitoring and local monitoring, so as to adapt to the poor network environment in some remote areas.

5. A leakage protection system with parameter adaptation and fault prediction according to claim 4, characterized in that: The gateway machine has the functions of upward communication and downward communication. When communicating upward, it communicates with each distribution box through the LoRa module to obtain distribution box information, leakage protection value, electrical data, fault data, and can remotely configure leakage protection value and remotely control switch tripping; when communicating downward, it uses 4G communication and Ethernet communication to realize information access to the Internet. Personnel can remotely control and configure through mobile phone apps and web pages, and view basic information and fault information.

6. A leakage protection system with parameter adaptation and fault prediction according to claim 4, characterized in that: The gateway machine is also used for fault waveform generation and intelligent fault prediction. Fault waveform generation is specifically: the collected electrical information and fault information of each three-level distribution box is plotted into a visual waveform diagram to intuitively display the power status and fault status; intelligent fault prediction is specifically: the server is configured with a large distribution box fault model. When the gateway machine is connected to the Internet, the server can analyze the power and fault information uploaded by the gateway machine, analyze the cause of the fault, intelligently determine the fault type, and predict common faults.

7. A leakage protection method with parameter adaptation and fault prediction, using a leakage protection system with parameter adaptation and fault prediction as claimed in any one of claims 1 to 6, characterized in that: The method comprises: After the system is started, the three-level distribution box is connected to the gateway through the LoRa communication module. The network level of the three-level distribution box is manually configured on the management page of the gateway or through a visual graphical interface. After the network connection is completed, the system will automatically identify the hierarchical structure of each distribution box. After the hierarchical configuration is completed, the system will automatically configure the leakage protection action value and action time for each distribution box according to the level where the distribution box is located, ensuring the correct coordination of actions between levels and realizing intelligent protection of the distribution box; According to changes in the construction site environment, the system can monitor the temperature and humidity data in the distribution box in real time, and automatically adjust the sensitivity of the leakage protection. According to the level of the distribution box, the system can intelligently adjust the leakage protection action value and time of the switch to adapt to the risks of different working environments.

8. A leakage protection method with parameter adaptation and fault prediction according to claim 7, characterized in that: The method also includes: when the system detects leakage or other electrical faults, the gateway machine automatically generates a fault waveform diagram, records fault data such as current, voltage and residual current in real time, and stores the data through the cloud or local database for subsequent analysis and troubleshooting.

9. The leakage protection method with parameter adaptation and fault prediction according to claim 7, characterized in that: The method further comprises: The system automatically analyzes the cause of the fault through the big data model configured on the cloud server, and generates an analysis report on the fault type in real time, helping managers to locate and handle the fault in a timely manner; Based on the analysis of historical current data and temperature inside the box, the system can intelligently predict potential leakage faults or fire risks, and send danger warning signals to managers through the gateway so that countermeasures can be taken in advance; When the system detects an abnormal increase in temperature inside the box and determines that there is a fire risk, the distribution box will automatically cut off all switches and send instructions through the gateway to cut off the circuit switches corresponding to the upper-level distribution box, thereby achieving linkage tripping of the faulty circuit to ensure safety.

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