Control method, device and equipment for hot-line cleaning of remote control power box and storage medium

Abstract

The invention relates to the technical field of power boxes, in particular to a control method, device and equipment for cleaning a remote control power box in an electrified mode and a storage medium, remote control signals are sent to a plurality of sockets of the power box respectively, so that the sockets control corresponding cleaning equipment to be powered on and powered off based on the remote control signals, one person can control multiple devices, human resource configuration is optimized, and the cleaning efficiency is improved. The working efficiency is improved, circuit overload or short circuit information fed back by the circuit breaker and electric leakage information fed back by the electric leakage protector are obtained in real time, circuit abnormity analysis is carried out according to the circuit overload or short circuit information and the electric leakage information, when the abnormity analysis result is that the circuit is abnormal, a power supply cut-off instruction is generated, and multiple electric protection mechanisms are integrated. The operation safety is ensured, fault diagnosis is performed on the power box by using the Bayesian network, protection measure information is generated according to a diagnosis result, the intelligent degree is improved, the fault reason diagnosis accuracy is improved, the reliability and stability of equipment are improved, the maintenance convenience is improved, and the maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power boxes, and in particular, to a control method, device, equipment and storage medium for a live cleaning remote control power box. Background Art

[0002] As a core node of the power system, the safe and stable operation of a substation is of decisive significance to the entire power grid. Electrical equipment in a substation is vulnerable to environmental factors (dust, dirt, salt mist, etc.) during operation, and dirt gradually accumulates. This not only reduces the insulation performance, increases the risk of short circuits and faults, but may also affect heat dissipation, leading to overheating and even fire accidents. Therefore, regular live cleaning and maintenance of substation electrical equipment are necessary measures to ensure the safe operation of the power grid. The live cleaning technology can maintain electrical equipment without power interruption, significantly improving work efficiency and safety.

[0003] During the practice of the live cleaning operation team, it is found that traditional power boxes generally have single functions, cumbersome operations and insufficient safety, making it difficult to meet the actual operation needs of substation live cleaning. They cannot achieve one-person multi-control, cannot optimize the allocation of human resources, reduce work efficiency, and currently the power boxes do not integrate overload, short-circuit and leakage protection functions, unable to ensure operation safety. When the power box fails, it is necessary to manually check the cause of the failure, reducing the maintenance convenience of the power box and increasing the maintenance cost. It cannot automatically diagnose the cause of the failure, has a low degree of intelligence and reduces the accuracy of diagnosing the cause of the failure, reducing the reliability and stability of the power box. Summary of the Invention

[0004] In order to overcome the deficiencies of the prior art, the purpose of the present invention is to provide a control method, device, equipment and storage medium for a live cleaning remote control power box that can achieve the effect of one-person multi-control, optimize the allocation of human resources, improve work efficiency, integrate multiple electrical protection mechanisms, ensure operation safety, improve the degree of intelligence, improve the accuracy of diagnosing the cause of the failure, improve the reliability and stability of the equipment, improve the maintenance convenience and reduce the maintenance cost.

[0005] The first aspect of the present invention provides a control method for a remote control power supply box for live cleaning, including: sending remote control signals to multiple sockets of the power supply box respectively, so that the sockets control the power on and off of the cleaning equipment based on the remote control signals, and each of the sockets is connected to a different cleaning equipment; obtaining in real time the circuit overload or short - circuit information fed back by the circuit breaker connected to the socket, and obtaining in real time the leakage information fed back by the leakage protector connected to the socket; performing circuit anomaly analysis according to the circuit overload or short - circuit information and the leakage information to obtain an anomaly analysis result, and when the anomaly analysis result determines that there is an anomaly in the circuit, generating a power cut instruction; constructing a Bayesian network, using the Bayesian network to perform fault diagnosis on the power supply box to obtain a diagnosis result; generating protection measure information according to the diagnosis result and sending the protection measure information to the management terminal.

[0006] Optionally, in the first implementation manner of the first aspect of the present invention, the step of sending remote control signals to multiple sockets of the power supply box respectively, so that the sockets control the power on and off of the cleaning equipment based on the remote control signals, and each of the sockets is connected to a different cleaning equipment, includes: sending remote control signals to multiple sockets of the power supply box respectively, so that the corresponding sockets convert the remote control signals into electrical signals, and each of the sockets is connected to a different cleaning equipment; generating a power on and off control instruction for the cleaning equipment according to the electrical signal.

[0007] Optionally, in the second implementation manner of the first aspect of the present invention, the step of obtaining in real time the circuit overload or short - circuit information fed back by the circuit breaker connected to the socket, and obtaining in real time the leakage information fed back by the leakage protector connected to the socket, includes: obtaining in real time the circuit overload or short - circuit information fed back by the circuit breaker connected to the socket; cleaning the circuit overload or short - circuit information and converting the circuit overload or short - circuit information into a standard format for model input; obtaining in real time the leakage information fed back by the leakage protector connected to the socket; cleaning the leakage information and converting the leakage information into a standard format for model input.

[0008] Optionally, in the third implementation manner of the first aspect of the present invention, the step of performing circuit anomaly analysis according to the circuit overload or short - circuit information and the leakage information to obtain an anomaly analysis result, and when the anomaly analysis result determines that there is an anomaly in the circuit, generating a power cut instruction, includes: calling a preset circuit analysis model; inputting the circuit overload or short - circuit information and the leakage information into the circuit analysis model for circuit anomaly analysis and outputting an anomaly analysis result; judging whether the anomaly analysis result is that there is an anomaly in the circuit; if so, generating a power cut instruction.

[0009] Optionally, in the fourth implementation manner of the first aspect of the present invention, the construction of the Bayesian network, the use of the Bayesian network for fault diagnosis of the power supply box, and the obtaining of the diagnosis result include: collecting historical fault features, constructing a fault database based on the historical fault features; training a Bayesian network using the fault database; collecting in real time operation signal samples that can reflect the health status of the power supply box, preprocessing the operation signal samples using wavelet analysis to obtain preprocessed signal samples; extracting real-time fault features of the preprocessed signal samples; inputting the real-time fault features into the Bayesian network for fault diagnosis of the power supply box, and outputting a diagnosis result, where the diagnosis result is one of mechanical fault, circuit fault, improper operation fault, aging wear fault, software fault, and no fault.

[0010] Optionally, in the fifth implementation manner of the first aspect of the present invention, the generating of protection measure information according to the diagnosis result and sending the protection measure information to the management terminal include: calling a preset fault handling solution library; matching a specific fault handling solution in the fault handling solution library that has a mapping relationship with the diagnosis result; generating protection measure information according to the specific fault handling solution; sending the protection measure information to the management terminal so that the management terminal generates and displays a protection measure page based on the protection measure information.

[0011] Optionally, in the sixth implementation manner of the first aspect of the present invention, after the generating of protection measure information according to the diagnosis result and sending the protection measure information to the management terminal, it further includes: obtaining a timestamp from a timestamp service platform based on the diagnosis time, inserting the timestamp into the diagnosis result; recording the fault handling result information fed back by the management terminal, merging the diagnosis result and the fault handling result information to obtain fault diagnosis and handling information; encrypting the fault diagnosis and handling information to obtain encrypted fault diagnosis and handling information, and uploading the encrypted fault diagnosis and handling information to the blockchain.

[0012] The second aspect of the present invention provides a control device for a remote control power supply box for live cleaning, comprising: a sending module for sending remote control signals to a plurality of sockets of the power supply box respectively, so that the sockets control the power on and off of the cleaning equipment based on the remote control signals, and each of the sockets is connected to a different cleaning equipment; an obtaining module for obtaining in real time the circuit overload or short circuit information fed back by a circuit breaker connected to the socket, and obtaining in real time the leakage information fed back by a leakage protector connected to the socket; an analysis and generation module for performing circuit anomaly analysis according to the circuit overload or short circuit information and the leakage information to obtain an anomaly analysis result, and generating a power cut instruction when the anomaly analysis result determines that there is an anomaly in the circuit; a construction and diagnosis module for constructing a Bayesian network and using the Bayesian network to perform fault diagnosis on the power supply box to obtain a diagnosis result; a generation and sending module for generating protection measure information according to the diagnosis result and sending the protection measure information to a management terminal.

[0013] Optionally, in the first implementation manner of the second aspect of the present invention, the sending module includes: a first sending unit for sending remote control signals to a plurality of sockets of the power supply box respectively, so that the corresponding sockets convert the remote control signals into electrical signals, and each of the sockets is connected to a different cleaning equipment; a first generation unit for generating a power on and off control instruction for the cleaning equipment according to the electrical signals.

[0014] Optionally, in the second implementation manner of the second aspect of the present invention, the obtaining module includes: a first obtaining unit for obtaining in real time the circuit overload or short circuit information fed back by a circuit breaker connected to the socket; a first cleaning and conversion unit for performing data cleaning on the circuit overload or short circuit information and converting the circuit overload or short circuit information into a standard format for model input; a second obtaining unit for obtaining in real time the leakage information fed back by a leakage protector connected to the socket; a second cleaning and conversion unit for performing data cleaning on the leakage information and converting the leakage information into a standard format for model input.

[0015] Optionally, in the third implementation manner of the second aspect of the present invention, the analysis and generation module includes: a first calling unit for calling a preset circuit analysis model; an analysis unit for inputting the circuit overload or short circuit information and the leakage information into the circuit analysis model for circuit anomaly analysis and outputting an anomaly analysis result; a judgment unit for judging whether the anomaly analysis result is that there is an anomaly in the circuit; a second generation unit for generating a power cut instruction if so.

[0016] Optionally, in the fourth implementation manner of the second aspect of the present invention, the construction diagnosis module includes: a collection construction unit, configured to collect historical fault features and construct a fault database based on the historical fault features; a training unit, configured to train a Bayesian network by using the fault database; an acquisition preprocessing unit, configured to collect in real time an operation signal sample that can reflect the health status of the power supply box, and perform preprocessing on the operation signal sample by using wavelet analysis to obtain a preprocessed signal sample; an extraction unit, configured to extract real-time fault features of the preprocessed signal sample; and a diagnosis unit, configured to input the real-time fault features into the Bayesian network to perform fault diagnosis on the power supply box and output a diagnosis result, where the diagnosis result is one of mechanical fault, circuit fault, improper operation fault, aging wear fault, software fault, and no fault.

[0017] Optionally, in the fifth implementation manner of the second aspect of the present invention, the generation and sending module includes: a second calling unit, configured to call a preset fault handling solution library; a matching unit, configured to match a specific fault handling solution having a mapping relationship with the diagnosis result in the fault handling solution library; a third generation unit, configured to generate protection measure information according to the specific fault handling solution; and a second sending unit, configured to send the protection measure information to a management terminal so that the management terminal generates and displays a protection measure page based on the protection measure information.

[0018] Optionally, in the sixth implementation manner of the second aspect of the present invention, it further includes: an acquisition and insertion module, configured to obtain a time stamp from a time stamp service platform based on the diagnosis time and insert the time stamp into the diagnosis result; a record merging module, configured to record the fault handling result information fed back by the management terminal and merge the diagnosis result and the fault handling result information to obtain fault diagnosis and handling information; and an encryption and upload module, configured to encrypt the fault diagnosis and handling information to obtain encrypted fault diagnosis and handling information, and upload the encrypted fault diagnosis and handling information to a blockchain.

[0019] The third aspect of the present invention provides a control device for a live cleaning remote control power supply box. The control device for the live cleaning remote control power supply box includes: a memory and at least one processor, where instructions are stored in the memory; and at least one of the processors calls the instructions in the memory so that the control device for the live cleaning remote control power supply box executes each step of the control method for the live cleaning remote control power supply box described in any one of the above.

[0020] The fourth aspect of the present invention provides a computer-readable storage medium, where instructions are stored on the computer-readable storage medium, and when the instructions are executed by a processor, each step of the control method for the live cleaning remote control power supply box described in any one of the above is implemented.

[0021] In the technical solution of the present invention, by sending remote control signals to multiple sockets of the power supply box respectively, so that the sockets control the corresponding cleaning equipment to be powered on and off based on the remote control signals, realizing one-person multi-control, optimizing the allocation of human resources, improving work efficiency, and obtaining in real time the circuit overload or short-circuit information feedback by the circuit breaker and the leakage information feedback by the leakage protector, analyzing the circuit anomalies according to the circuit overload or short-circuit information and the leakage information. When the anomaly analysis result determines that there is an anomaly in the circuit, a power cut instruction is generated, integrating multiple electrical protection mechanisms to ensure operation safety, constructing a Bayesian network, using the Bayesian network to diagnose faults in the power supply box, generating protection measure information according to the diagnosis result, improving the degree of intelligence, improving the accuracy of fault cause diagnosis, improving the reliability and stability of the equipment, improving the maintenance convenience and reducing the maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is the first flow chart of the control method of the live cleaning remote control power supply box provided by the embodiment of the present invention.

[0023] Figure 2 It is the second flow chart of the control method of the live cleaning remote control power supply box provided by the embodiment of the present invention.

[0024] Figure 3 It is the third flow chart of the control method of the live cleaning remote control power supply box provided by the embodiment of the present invention.

[0025] Figure 4 It is the fourth flow chart of the control method of the live cleaning remote control power supply box provided by the embodiment of the present invention.

[0026] Figure 5 It is a structural schematic diagram of the control device of the live cleaning remote control power supply box provided by the embodiment of the present invention.

[0027] Figure 6 It is another structural schematic diagram of the control device of the live cleaning remote control power supply box provided by the embodiment of the present invention.

[0028] Figure 7 It is a structural schematic diagram of the control equipment of the live cleaning remote control power supply box provided by the embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0029] The present invention provides a control method, device, equipment and storage medium for a live cleaning remote control power supply box, realizing the effect of one-person multi-control, optimizing the allocation of human resources, improving work efficiency, integrating multiple electrical protection mechanisms, ensuring operation safety, improving the degree of intelligence, improving the accuracy of fault cause diagnosis, improving the reliability and stability of the equipment, improving the maintenance convenience and reducing the maintenance cost.

[0030] In the description, claims and the above-mentioned drawings of the present invention, the terms "first", "second", "third", "fourth", etc. (if any) are used to distinguish similar objects and do not necessarily describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments described herein can be implemented in an order different from that illustrated or described herein. In addition, the term "comprising" or "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0031] For ease of understanding, the specific process of the embodiments of the present invention will be described below. Please refer to Figure 1 , an embodiment of the control method for a charged cleaning remote control power supply box in the embodiments of the present invention includes: 101. Send remote control signals to multiple sockets of the power supply box respectively, so that the sockets control the power on and off of the cleaning equipment based on the remote control signals, and each socket is connected to a different cleaning equipment; In this embodiment, the remote control signal is sent by the remote control and then transmitted to each socket module. These socket modules receive the signal wirelessly and perform corresponding operations. Each socket module controls the power on and off of the connected cleaning equipment by receiving the remote control signal.

[0032] 102. Real-time obtain the circuit overload or short-circuit information fed back by the circuit breaker connected to the socket, and real-time obtain the leakage information fed back by the leakage protector connected to the socket; In this embodiment, through the cooperation of the circuit breaker and the leakage protector, each socket module will independently protect the connected cleaning equipment. The circuit breaker can quickly cut off the power in case of overload or short circuit of the cleaning equipment to avoid equipment damage. The leakage protector can timely cut off the power when the cleaning equipment leaks electricity to protect the safety of the equipment and personnel. Real-time obtain the circuit overload or short-circuit information fed back by the circuit breaker connected to the socket, and real-time obtain the leakage information fed back by the leakage protector connected to the socket.

[0033] 103. Analyze the circuit anomalies according to the circuit overload or short-circuit information and the leakage information to obtain an anomaly analysis result. When the anomaly analysis result determines that the circuit has an anomaly, a power cut command is generated; In this embodiment, by comparing the current, pressure and other data collected by the sensors with the preset thresholds, the system first determines whether an overload or short circuit has occurred. Through a differential current sensor, the difference in the incoming and outgoing currents of the circuit is monitored. If the difference exceeds the set threshold, it is considered a leakage. When the abnormal analysis result determines that there is an abnormality in the circuit, a power cut command is generated.

[0034] 104. Construct a Bayesian network, use the Bayesian network to diagnose the faults of the power supply box, and obtain the diagnosis result. In this embodiment, a Bayesian network is constructed. The Bayesian network consists of nodes (representing random variables) and directed edges (indicating the conditional dependence relationship between variables). Each node has a conditional dependence relationship with its parent nodes. The state of the parent nodes determines the probability distribution of the child nodes. Each node has a conditional probability table (CPT), which represents the probability of the node given its parent nodes. For example, if a short circuit fault occurs in the power supply box, the current value may increase sharply. The Bayesian network will calculate this change through conditional probabilities, use the Bayesian network to diagnose the faults of the power supply box, and obtain the diagnosis result.

[0035] 105. Generate protection measure information according to the diagnosis result, and send the protection measure information to the management terminal. In this embodiment, the diagnosis result is analyzed to determine the type of the diagnosis result. According to the preset rule base, the system can generate corresponding protection measure information according to different fault types. The definition of the protection measures depends on the specific type and severity of the fault diagnosis, and the protection measure information is sent to the management terminal.

[0036] In the embodiment of the present invention, by sending remote control signals to multiple sockets of the power supply box respectively, so that the sockets control the corresponding cleaning equipment to be powered on and off based on the remote control signals, one person can control multiple devices, optimizing the allocation of human resources, improving work efficiency, and obtaining in real time the circuit overload or short circuit information feedback by the circuit breaker and the leakage information feedback by the leakage protector, performing circuit abnormal analysis according to the circuit overload or short circuit information and the leakage information. When the abnormal analysis result determines that there is an abnormality in the circuit, a power cut command is generated, integrating multiple electrical protection mechanisms to ensure operation safety, constructing a Bayesian network, using the Bayesian network to diagnose the faults of the power supply box, generating protection measure information according to the diagnosis result, improving the degree of intelligence, improving the accuracy of fault cause diagnosis, improving the reliability and stability of the equipment, improving the convenience of maintenance and reducing the maintenance cost.

[0037] Please refer to Figure 2 , the second embodiment of the control method of the live cleaning remote control power supply box in the embodiment of the present invention includes: 201. Send remote control signals to multiple sockets of the power supply box respectively, so that the corresponding sockets convert the remote control signals into electrical signals, and each socket is connected to a different cleaning device; In this embodiment, the remote control signals are sent to multiple sockets of the power supply box respectively by using infrared remote control, radio frequency communication (RF) or Wi-Fi and other signal transmission methods through the remote control. The socket has a wireless receiving function, can receive the remote control signal and identify its content, and then converts the remote control signal into an electrical signal.

[0038] 202. Generate a power on / off control instruction for the cleaning device according to the electrical signal; In this embodiment, the socket controls the switch of the connected cleaning device according to the electrical signal, and each cleaning device is independently controlled to avoid the signal of one socket interfering with the operation of other devices.

[0039] 203. Real-time obtain the circuit overload or short circuit information fed back by the circuit breaker connected to the socket; In this embodiment, the circuit overload or short circuit information fed back by the circuit breaker connected to the socket is obtained in real time. The current sensor is used to detect the current change in real time, monitor whether the current exceeds the preset safety range, and the voltage sensor is used to monitor the voltage to determine whether there is a short circuit phenomenon.

[0040] 204. Clean the circuit overload or short circuit information, and convert the circuit overload or short circuit information into a standard format for model input; In this embodiment, the duplicate items in the circuit overload or short circuit information are deleted, the missing values of the circuit overload or short circuit information are filled by the interpolation method, and the abnormal values of the circuit overload or short circuit information are corrected, and the circuit overload or short circuit information is converted into a standard format for model input.

[0041] 205. Real-time obtain the leakage information fed back by the leakage protector connected to the socket; In this embodiment, the leakage current sensor built in the leakage protector is used to detect the current difference, and the leakage information fed back by the leakage protector connected to the socket is obtained in real time.

[0042] 206. Clean the leakage information, and convert the leakage information into a standard format for model input; In this embodiment, the duplicate items in the leakage information are deleted, the missing values of the leakage information are filled by the interpolation method, and the abnormal values of the leakage information are corrected, and the leakage information is converted into a standard format for model input.

[0043] In the embodiments of the present invention, through the conversion between remote control signals and electrical signals, the system can remotely control multiple cleaning devices, achieve efficient automation management, and obtain and process information such as overload, short circuit, and leakage in real time, which helps to timely identify equipment failures or abnormalities, ensure the safe and stable operation of the system. By performing data cleaning and format conversion on the feedback information, the accuracy and consistency of the data are ensured, providing reliable input for subsequent analysis or model processing. Real-time monitoring of the overload, short circuit, and leakage of the circuit can effectively prevent potential safety hazards and improve the overall safety of the system.

[0044] Please refer to Figure 3 , the third embodiment of the control method for the live cleaning remote control power supply box in the embodiments of the present invention includes: 301. Invoke a preset circuit analysis model; In this embodiment, when invoking the preset circuit analysis model, the circuit analysis model is a machine learning model trained by using decision trees, random forests, support vector machines (SVMs) or neural network algorithms and through a large amount of historical circuit data (including labeled normal state circuit data and abnormal state circuit data). The circuit analysis model diagnoses the circuit abnormality according to the actual state of the input circuit information.

[0045] 302. Input the circuit overload or short circuit information and leakage information into the circuit analysis model for circuit abnormality analysis, and output the abnormality analysis result; In this embodiment, when inputting the circuit overload or short circuit information and leakage information into the circuit analysis model, the circuit analysis model calculates key parameters such as current, voltage, and power, and diagnoses the circuit abnormality according to the actual state of the key parameters. For example, if the current exceeds the rated range, it is marked as overload; if the current increases sharply, it is marked as short circuit; if the current leaks to the ground or an abnormal channel, it is marked as leakage. Finally, the abnormality analysis result is output.

[0046] 303. Determine whether the abnormality analysis result indicates that there is an abnormality in the circuit; In this embodiment, it is determined whether the abnormality analysis result indicates that there is an abnormality in the circuit. An overcurrent beyond the rated range, a sharp increase in current, or current leakage indicates that there is an abnormality in the circuit.

[0047] 304. If so, generate a power cut-off instruction; In this embodiment, if it is determined that the abnormality analysis result indicates that there is an abnormality in the circuit, a power cut-off instruction is generated, and the automatic execution of power cut-off is achieved through a circuit breaker or a leakage protector.

[0048] 305. Collect historical fault characteristics and construct a fault database based on the historical fault characteristics; In this embodiment, all the fault data that occurred in the past are collected, historical fault features are extracted from all the fault data, the historical fault features are sorted and classified, and then stored in a fault database that can be queried and analyzed. The fault database has the ability to be updated in real time, and new fault data can be continuously added to the database to ensure that the fault information in the database is up-to-date.

[0049] 306. Train a Bayesian network using the fault database; In this embodiment, the structure of the Bayesian network is defined. The structure describes the dependency relationships between different variables. Select appropriate prior probabilities and determine the conditional probabilities. Use the method of maximum likelihood estimation to train the Bayesian network. After training is completed, evaluate the Bayesian network. Once the Bayesian network is trained, it can be applied to actual fault prediction tasks.

[0050] 307. Real-time collect the operation signal samples that can reflect the health status of the power supply box, and use wavelet analysis to preprocess the operation signal samples to obtain preprocessed signal samples; In this embodiment, real-time collect the operation signal samples that can reflect the health status of the power supply box, and use wavelet analysis to preprocess the operation signal samples. The specific process is shown in Equation (1): (1) In the formula, and represent non-negative constants. The collected signal The expression after preprocessing is shown in Equation (2): (2) In the formula represents the wavelet transform function of the collected signal , represents the scale factor, represents the time shift, represents the wavelet basis.

[0051] 308. Extract the real-time fault features of the preprocessed signal samples; In this embodiment, extract the real-time fault features of the preprocessed signal samples. The specific process is shown in Equation (3): (3) In the formula, represents the fault feature of the operation signal of the power supply box equipment, represents the signal value in each sample, represents the mean value of each signal, represents the number of samples of each signal.

[0052] 309. Input the real-time fault characteristics into the Bayesian network for fault diagnosis of the power supply box, and output the diagnosis result, which is one of mechanical fault, circuit fault, improper operation fault, aging and wear fault, software fault, and no fault. In this embodiment, input the real-time fault characteristics into the Bayesian network for fault diagnosis of the power supply box. The Bayesian network consists of a set of nodes and directed edges. Each node represents a variable (such as a certain fault characteristic or fault type), and the edges represent the conditional dependencies between these variables. In this embodiment, the nodes can be the input fault characteristics, and the output diagnosis result is the type of the power supply box fault, which is one of mechanical fault, circuit fault, improper operation fault, aging and wear fault, software fault, and no fault.

[0053] In the embodiment of the present invention, by calling the circuit analysis model and the Bayesian network, the system can intelligently identify and diagnose faults based on real-time and historical data, avoid manual intervention, and improve the diagnosis efficiency. By collecting and analyzing the operation signal samples in real time, potential faults can be detected early, providing early warnings, which helps prevent the occurrence of major faults, reduce downtime and maintenance costs. By extracting fault characteristics and applying the Bayesian network, faults can be accurately classified into different types, so as to take corresponding treatment measures and improve the system stability. The collection of historical fault characteristics and the construction of the fault database enable the system to continuously learn and optimize, improving the accuracy and reliability of future diagnoses.

[0054] Please refer to Figure 4 , the fourth embodiment of the control method for the live cleaning remote control power supply box in the embodiment of the present invention includes: 401. Call the preset fault handling solution library. In this embodiment, call the preset fault handling solution library, and the preset fault handling solution library is a database containing various fault types and their corresponding handling steps.

[0055] 402. Match the specific fault handling solution with a mapping relationship to the diagnosis result in the fault handling solution library. In this embodiment, the diagnosis result is the type of the power supply box fault, and the relevant specific fault handling solution is found from the fault handling solution library according to this type.

[0056] 403. Generate protection measure information according to the specific fault handling solution. In this embodiment, understand that the protection measure information is generated after the specific fault handling solution is executed.

[0057] 404. Send the protection measure information to the management terminal so that the management terminal can generate and display a protection measure page based on the protection measure information. In this embodiment, the protection measure information is sent to the management terminal through data transmission methods such as API interfaces, data streams, message queues, etc. Once the management terminal receives the protection measure information, the management terminal will start to parse the protection measure information, and then generate and display the protection measure page.

[0058] 405. Obtain a timestamp from the timestamp service platform based on the diagnosis time, and insert the timestamp into the diagnosis result; In this embodiment, determine the interface form provided by the timestamp service platform (such as HTTP API, RPC, etc.), and obtain an accurate timestamp from this interface based on the diagnosis time, ensuring that the data format of the timestamp is consistent with the format of the position where it needs to be inserted in the diagnosis result, and add the obtained timestamp to the appropriate position in the diagnosis result.

[0059] 406. Record the fault handling result information fed back by the management terminal, and merge the diagnosis result and the fault handling result information to obtain the fault diagnosis and handling information; In this embodiment, the management terminal is responsible for receiving the fault reports of various parts in the system and returning the processing results to obtain the fault handling result information. Record the fault handling result information fed back by the management terminal, associate the diagnosis result and the processing result through the fault ID, device number or event time, and merge the diagnosis result and the fault handling result information to obtain the fault diagnosis and handling information.

[0060] 407. Encrypt the fault diagnosis and handling information to obtain the encrypted fault diagnosis and handling information, and upload the encrypted fault diagnosis and handling information to the blockchain; In this embodiment, use asymmetric encryption (such as RSA) to encrypt the fault diagnosis and handling information to obtain the encrypted fault diagnosis and handling information. Take the encrypted fault diagnosis and handling information as a block, including necessary metadata (such as block ID, timestamp, hash value of the previous block, etc.), form a new block, which is verified in the blockchain. After the verification passes, this block is written into the blockchain and becomes a part of the blockchain.

[0061] In the embodiment of the present invention, by calling a preset fault handling solution library and automatically matching the handling solution, manual intervention is reduced, and the processing speed and accuracy are improved. By generating and sending the protection measure information to the management terminal, real-time sharing and display of the fault handling information are realized, ensuring that relevant personnel can quickly obtain accurate information. Through the timestamp service platform and blockchain technology, accurate recording and immutability of the diagnosis and handling information are ensured, enhancing the reliability and transparency of the data. Encrypting the fault handling information and uploading it to the blockchain improves the security and privacy protection of the information, preventing data leakage and tampering.

[0062] The control method of the live cleaning remote control power supply box in the embodiments of the present invention has been described above. Next, the control device of the live cleaning remote control power supply box in the embodiments of the present invention will be described. Please refer to Figure 5 An embodiment of the control device of the live cleaning remote control power supply box in the embodiments of the present invention includes: A sending module 501, configured to send remote control signals to multiple sockets of the power supply box respectively, so that the sockets control the power on and off of the cleaning equipment based on the remote control signals, and each socket is connected to a different cleaning equipment; An obtaining module 502, configured to obtain in real time the circuit overload or short - circuit information fed back by the circuit breaker connected to the socket, and obtain in real time the leakage information fed back by the leakage protector connected to the socket; An analysis and generation module 503, configured to perform circuit anomaly analysis according to the circuit overload or short - circuit information and the leakage information, obtain an anomaly analysis result, and generate a power cut instruction when the anomaly analysis result determines that there is an anomaly in the circuit; A construction and diagnosis module 504, configured to construct a Bayesian network, and use the Bayesian network to perform fault diagnosis on the power supply box to obtain a diagnosis result; A generation and sending module 505, configured to generate protection measure information according to the diagnosis result, and send the protection measure information to the management terminal.

[0063] In this embodiment, by sending remote control signals to multiple sockets of the power supply box respectively, so that the sockets control the corresponding cleaning equipment to power on and off based on the remote control signals, one - person multi - control is realized, the human resource allocation is optimized, and the work efficiency is improved. The circuit overload or short - circuit information fed back by the circuit breaker and the leakage information fed back by the leakage protector are obtained in real time, and circuit anomaly analysis is performed according to the circuit overload or short - circuit information and the leakage information. When the anomaly analysis result determines that there is an anomaly in the circuit, a power cut instruction is generated, integrating multiple electrical protection mechanisms to ensure operation safety. A Bayesian network is constructed, and the Bayesian network is used to perform fault diagnosis on the power supply box. Protection measure information is generated according to the diagnosis result, improving the degree of intelligence, improving the accuracy of fault cause diagnosis, improving the reliability and stability of the equipment, improving the maintenance convenience and reducing the maintenance cost.

[0064] Please refer to Figure 6 Another embodiment of the control device of the live cleaning remote control power supply box in the embodiments of the present invention includes: A sending module 501, configured to send remote control signals to multiple sockets of the power supply box respectively, so that the sockets control the power on and off of the cleaning equipment based on the remote control signals, and each socket is connected to a different cleaning equipment; An obtaining module 502, configured to obtain in real time the circuit overload or short - circuit information fed back by the circuit breaker connected to the socket, and obtain in real time the leakage information fed back by the leakage protector connected to the socket; The analysis and generation module 503 is configured to perform circuit anomaly analysis based on circuit overload or short - circuit information and leakage information to obtain an anomaly analysis result. When the anomaly analysis result determines that there is an anomaly in the circuit, a power cut command is generated. The construction and diagnosis module 504 is configured to construct a Bayesian network and use the Bayesian network to perform fault diagnosis on the power supply box to obtain a diagnosis result. The generation and sending module 505 is configured to generate protection measure information according to the diagnosis result and send the protection measure information to the management terminal. In this embodiment, the sending module 501 includes: a first sending unit 5011, configured to send remote control signals to multiple sockets of the power supply box respectively, so that the corresponding sockets convert the remote control signals into electrical signals, and each socket is connected to a different cleaning device; a first generation unit 5012, configured to generate on - off control commands for the cleaning devices according to the electrical signals.

[0065] In this embodiment, the acquisition module 502 includes: a first acquisition unit 5021, configured to acquire in real time the circuit overload or short - circuit information fed back by the circuit breaker connected to the socket; a first cleaning and conversion unit 5022, configured to perform data cleaning on the circuit overload or short - circuit information and convert the circuit overload or short - circuit information into a standard format for model input; a second acquisition unit 5023, configured to acquire in real time the leakage information fed back by the leakage protector connected to the socket; a second cleaning and conversion unit 5024, configured to perform data cleaning on the leakage information and convert the leakage information into a standard format for model input.

[0066] In this embodiment, the analysis and generation module 503 includes: a first call unit 5031, configured to call a preset circuit analysis model; an analysis unit 5032, configured to input the circuit overload or short - circuit information and the leakage information into the circuit analysis model for circuit anomaly analysis and output an anomaly analysis result; a judgment unit 5033, configured to judge whether the anomaly analysis result indicates that there is an anomaly in the circuit; a second generation unit 5034, configured to, if so, generate a power cut command.

[0067] In this embodiment, the construction diagnosis module 504 includes: a collection construction unit 5041, configured to collect historical fault features and build a fault database based on the historical fault features; a training unit 5042, configured to train a Bayesian network using the fault database; an acquisition preprocessing unit 5043, configured to collect in real time operation signal samples that can reflect the health status of the power supply box, and perform preprocessing on the operation signal samples using wavelet analysis to obtain preprocessed signal samples; an extraction unit 5044, configured to extract real-time fault features of the preprocessed signal samples; and a diagnosis unit 5045, configured to input the real-time fault features into the Bayesian network to perform fault diagnosis on the power supply box and output a diagnosis result, where the diagnosis result is one of mechanical fault, circuit fault, improper operation fault, aging wear fault, software fault, and no fault.

[0068] In this embodiment, the generation and sending module 505 includes: a second calling unit 5051, configured to call a preset fault handling solution library; a matching unit 5052, configured to match a specific fault handling solution having a mapping relationship with the diagnosis result in the fault handling solution library; a third generation unit 5053, configured to generate protection measure information according to the specific fault handling solution; and a second sending unit 5054, configured to send the protection measure information to the management terminal so that the management terminal generates and displays a protection measure page based on the protection measure information.

[0069] In this embodiment, it further includes: an acquisition and insertion module 506, configured to obtain a time stamp from a time stamp service platform based on the diagnosis time and insert the time stamp into the diagnosis result; a record merging module 507, configured to record the fault handling result information fed back by the management terminal, and merge the diagnosis result and the fault handling result information to obtain fault diagnosis and handling information; and an encryption and upload module 508, configured to encrypt the fault diagnosis and handling information to obtain encrypted fault diagnosis and handling information, and upload the encrypted fault diagnosis and handling information to the blockchain.

[0070] Above Figure 5 And Figure 6 The control device of the live cleaning remote control power supply box in the embodiment of the present invention is described in detail from the perspective of modular functional entities. Next, the control device of the live cleaning remote control power supply box in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0071] Figure 7FIG. 0 is a schematic structural diagram of a control device for a live cleaning remote control power supply box provided by an embodiment of the present invention. The control device 600 of the live cleaning remote control power supply box may vary greatly due to different configurations or performances, and may include one or more processors (central processing units, CPUs) 610 (for example, one or more processors) and a memory 620, and one or more storage media 630 (for example, one or more mass storage devices) for storing application programs 633 or data 632. Among them, the memory 620 and the storage media 630 may be transient storage or persistent storage. The program stored in the storage media 630 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations on the control device 600 of the live cleaning remote control power supply box. Further, the processor 610 may be configured to communicate with the storage media 630 and execute a series of instruction operations in the storage media 630 on the control device 600 of the live cleaning remote control power supply box to implement the steps of the control method of the live cleaning remote control power supply box provided by the above method embodiments.

[0072] The control device 600 of the live cleaning remote control power supply box may further include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input / output interfaces 660, and / or one or more operating systems 631, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, and so on. Those skilled in the art can understand that Figure 7 the shown structural diagram of the control device of the live cleaning remote control power supply box does not constitute a limitation on the control device based on the live cleaning remote control power supply box, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0073] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium, and when the instructions are run on a computer, the computer is made to execute the steps of the control method of the live cleaning remote control power supply box.

[0074] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described system or device and unit can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0075] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0076] Finally, it should be noted that the above are only preferred examples of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A control method for a remote control power supply box for live cleaning, characterized in that, Including: Sending remote control signals to multiple sockets of a power supply box respectively, so that the sockets control the power on and off of a cleaning device based on the remote control signals, and each of the sockets is connected to a different cleaning device; Obtaining in real time the circuit overload or short - circuit information fed back by a circuit breaker connected to the socket, and obtaining in real time the leakage information fed back by a leakage protector connected to the socket; Performing circuit anomaly analysis based on the circuit overload or short - circuit information and the leakage information to obtain an anomaly analysis result. When the anomaly analysis result determines that there is an anomaly in the circuit, a power cut instruction is generated; Constructing a Bayesian network, and using the Bayesian network to perform fault diagnosis on the power supply box to obtain a diagnosis result; Generating protection measure information according to the diagnosis result and sending the protection measure information to a management terminal.

2. The control method of the remote control power supply box for live cleaning according to claim 1, wherein, The step of sending remote control signals to multiple sockets of a power supply box respectively, so that the sockets control the power on and off of a cleaning device based on the remote control signals, and each of the sockets is connected to a different cleaning device, includes: Sending remote control signals to multiple sockets of a power supply box respectively, so that the corresponding sockets convert the remote control signals into electrical signals, and each of the sockets is connected to a different cleaning device; Generating a power on and off control instruction for the cleaning device according to the electrical signal.

3. The control method of the remote control power supply box for live cleaning according to claim 1, characterized in that, The step of obtaining in real time the circuit overload or short - circuit information fed back by a circuit breaker connected to the socket, and obtaining in real time the leakage information fed back by a leakage protector connected to the socket, includes: Obtaining in real time the circuit overload or short - circuit information fed back by a circuit breaker connected to the socket; Performing data cleaning on the circuit overload or short - circuit information and converting the circuit overload or short - circuit information into a standard format for model input; Obtaining in real time the leakage information fed back by a leakage protector connected to the socket; Performing data cleaning on the leakage information and converting the leakage information into a standard format for model input.

4. The control method of the remote control power supply box for live cleaning according to claim 1, wherein, The step of performing circuit anomaly analysis based on the circuit overload or short - circuit information and the leakage information to obtain an anomaly analysis result. When the anomaly analysis result determines that there is an anomaly in the circuit, a power cut instruction is generated, includes: Invoking a preset circuit analysis model; Inputting the circuit overload or short - circuit information and the leakage information into the circuit analysis model for circuit anomaly analysis and outputting an anomaly analysis result; Judging whether the anomaly analysis result is that there is an anomaly in the circuit; If so, generating a power cut instruction.

5. The control method of the remote control power supply box for live cleaning according to claim 1, characterized in that, The step of constructing a Bayesian network, and using the Bayesian network to perform fault diagnosis on the power supply box to obtain a diagnosis result, includes: Collecting historical fault features and constructing a fault database based on the historical fault features; Training a Bayesian network using the fault database; Real - time collecting operation signal samples that can reflect the health status of the power supply box, and performing pre - processing on the operation signal samples using wavelet analysis to obtain pre - processed signal samples; Extracting real - time fault features of the pre - processed signal samples; Input the real-time fault characteristics into the Bayesian network for fault diagnosis of the power supply box, and output a diagnosis result, where the diagnosis result is one of mechanical fault, circuit fault, improper operation fault, aging and wear fault, software fault, and no fault.

6. The control method of the remote control power supply box for live cleaning according to claim 1, characterized in that, Generating protection measure information according to the diagnosis result and sending the protection measure information to a management terminal includes: Invoking a preset fault handling solution library; Matching a specific fault handling solution in the fault handling solution library that has a mapping relationship with the diagnosis result; Generating protection measure information according to the specific fault handling solution; Sending the protection measure information to the management terminal so that the management terminal generates and displays a protection measure page based on the protection measure information.

7. The control method of the remote control power supply box for live cleaning according to claim 1, characterized in that After generating protection measure information according to the diagnosis result and sending the protection measure information to the management terminal, it further includes: Obtaining a time stamp from a time stamp service platform based on the diagnosis time and inserting the time stamp into the diagnosis result; Recording the fault handling result information fed back by the management terminal, and combining the diagnosis result and the fault handling result information to obtain fault diagnosis and handling information; Encrypting the fault diagnosis and handling information to obtain encrypted fault diagnosis and handling information, and uploading the encrypted fault diagnosis and handling information to a blockchain.

8. A control device for a remote power supply box for live cleaning, characterized in that, It includes: A sending module for sending remote control signals to multiple sockets of a power supply box respectively, so that the sockets control the power on and off of a cleaning device based on the remote control signals, and each of the sockets is connected to a different cleaning device; An obtaining module for obtaining in real time the circuit overload or short-circuit information fed back by a circuit breaker connected to the socket, and obtaining in real time the leakage information fed back by a leakage protector connected to the socket; An analysis and generation module for performing circuit anomaly analysis according to the circuit overload or short-circuit information and the leakage information to obtain an anomaly analysis result, and generating a power cut instruction when the anomaly analysis result determines that there is an anomaly in the circuit; A diagnosis construction module for constructing a Bayesian network and using the Bayesian network to perform fault diagnosis on the power supply box to obtain a diagnosis result; A generation and sending module for generating protection measure information according to the diagnosis result and sending the protection measure information to a management terminal.

9. A control device for a remote power supply box for live cleaning, characterized in that, The control device of the live cleaning remote control power supply box includes: a memory and at least one processor, and instructions are stored in the memory; At least one of the processors invokes the instructions in the memory so that the control device of the live cleaning remote control power supply box executes each step of the control method of the live cleaning remote control power supply box according to any one of claims 1-7.

10. A computer-readable storage medium having instructions stored thereon, characterized in that, When the instructions are executed by the processor, each step of the control method of the live cleaning remote control power supply box according to any one of claims 1-7 is implemented.

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