High-voltage outgoing line switch cabinet intelligent control system based on 5G wireless communication

Abstract

The invention discloses a high-voltage outgoing line switch cabinet intelligent control system based on 5G wireless communication, and belongs to the technical field of high-voltage outgoing line switch cabinets, and the system comprises a data sensing and collection terminal which is used for collecting the operation data of a high-voltage outgoing line switch cabinet; the 5G wireless communication module is used for remotely transmitting operation data of the high-voltage outgoing line switch cabinet through a 5G base station; and the intelligent control cloud platform processes and analyzes the operation data of the high-voltage outgoing line switch cabinet, and carries out timely early warning and maintenance management on the fault of the high-voltage outgoing line switch cabinet. According to the invention, the problem that the safety, reliability and operation and maintenance efficiency of a power system are reduced because effective remote monitoring, fault diagnosis and intelligent control cannot be carried out on the high-voltage outgoing line switch cabinet in the prior art is solved. According to the invention, effective remote monitoring, fault diagnosis and intelligent control can be carried out on the high-voltage outgoing line switch cabinet, effective early warning and quick response can be carried out on faults, the use effect of the high-voltage outgoing line switch cabinet is good, and the safety, reliability and operation and maintenance efficiency of a power system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage outlet switch cabinets, and specifically to an intelligent control system for high-voltage outlet switch cabinets based on 5G wireless communication. Background Art

[0002] High-voltage outgoing line switchgear is an important equipment in the power system, mainly used to distribute and transmit electric energy. It is usually connected to the busbar as a switchgear for busbar distribution of electric energy, transmitting electric energy to power transformers or other high-voltage electrical equipment and high-voltage compensation equipment.

[0003] The Chinese patent with publication number CN220692652U discloses a high-voltage outlet switch cabinet with a built-in heat dissipation structure, including a base, a cabinet and a built-in fan assembly, a cabinet is arranged at the top of the base, and a built-in fan assembly is arranged on one side of the cabinet, a heat dissipation assembly is arranged on the other side of the cabinet, and a pumping assembly is arranged at the bottom of the cabinet, the pumping assembly includes a bottom plate, a temperature sensor, a flow pipe, a connecting pipe and a water reservoir, and a temperature sensor is arranged on one side of the bottom plate, a flow pipe is arranged at the top of the bottom plate, and a flow pipe is arranged on one side of the flow pipe, and a water reservoir is arranged on one side of the flow pipe; the temperature inside the equipment is monitored by the temperature sensor, and when it is higher than a fixed value, water is circulated to the inside of the flow pipe through the connecting pipe through the water reservoir, and the heat at the bottom end of the equipment body is taken away by the water flow, and the heat in the switch cabinet is absorbed by the water flow circulation, which greatly improves the heat dissipation efficiency and heat dissipation effect; however, the patent has the following defects:

[0004] Existing technologies cannot effectively remotely monitor, diagnose faults, and intelligently control high-voltage outgoing line switchgear, and cannot effectively warn and quickly respond to faults, resulting in poor use of high-voltage outgoing line switchgear and reducing the safety, reliability, and operation and maintenance efficiency of the power system. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent control system for high-voltage outlet switchgear based on 5G wireless communication, which can effectively remotely monitor, diagnose faults and intelligently control the high-voltage outlet switchgear, and can effectively warn and quickly respond to faults, so that the high-voltage outlet switchgear can be used effectively, the safety, reliability and operation and maintenance efficiency of the power system can be improved, and the problems raised in the above-mentioned background technology can be solved.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The intelligent control system of high-voltage outgoing switchgear based on 5G wireless communication includes:

[0008] Data sensing and acquisition terminal, used to collect electrical parameter data, switch status data, environmental parameter data and mechanical status data, and determine the operation data of high-voltage outlet switchgear;

[0009] 5G wireless communication module, used to remotely transmit the collected high-voltage outgoing switchgear operation data to the intelligent control cloud platform in real time through 5G base station access;

[0010] Intelligent control cloud platform, used to process and analyze the operation data of high-voltage outgoing switch cabinets, and to provide timely early warning and maintenance management for high-voltage outgoing switch cabinet failures;

[0011] Among them, a low-power design is adopted, which enters sleep mode in idle or low-load state, wakes up the device through external events or network commands, and dynamically adjusts the power consumption configuration according to the working status and load conditions of the device.

[0012] Preferably, the data sensing and collecting terminal includes:

[0013] The electrical parameter acquisition unit is used to monitor and collect the voltage data, current data, power data, electric energy data and frequency data in real time during the operation of the high-voltage outlet switchgear to obtain the electrical parameter data;

[0014] The switch status acquisition unit is used to monitor and collect the circuit breaker status, disconnector status, grounding switch status and operating mechanism status in real time during the operation of the high-voltage outgoing switch cabinet, and obtain switch status data;

[0015] Environmental parameter acquisition unit, used to monitor and collect temperature data, humidity data, partial discharge data and gas concentration data in real time during the operation of high-voltage outlet switchgear, and obtain environmental parameter data;

[0016] The mechanical state acquisition unit is used to monitor and collect the mechanical vibration data and mechanical displacement data during the operation of the high-voltage outlet switch cabinet in real time to obtain the mechanical state data;

[0017] Among them, the operation data of the high-voltage outgoing line switch cabinet is determined based on the electrical parameter data, switch status data, environmental parameter data and mechanical status data.

[0018] Preferably, the 5G wireless communication module includes:

[0019] 5G wireless transmission unit, used to send high-voltage outgoing line switch cabinet operation data through 5G base station;

[0020] 5G wireless receiving unit, used to receive high-voltage outgoing switchgear operation data through 5G base station;

[0021] Based on 5G network technology, through 5G base station access, the 5G wireless sending unit transmits the collected high-voltage outgoing switch cabinet operation data to the 5G wireless receiving unit, and the 5G wireless receiving unit remotely transmits the received high-voltage outgoing switch cabinet operation data to the intelligent control cloud platform.

[0022] Preferably, the execution steps of the 5G wireless communication module include:

[0023] Extract gas concentration data and humidity data obtained through real-time monitoring;

[0024] Comparing the gas concentration data with a preset concentration threshold;

[0025] When the gas concentration data exceeds a preset concentration threshold, the change rate of the current gas concentration data and the change rate of the humidity data are monitored in real time;

[0026] Taking the 5G wireless communication module as the center, obtaining a circular area centered on the 5G wireless communication module according to a preset distance R as a radius; wherein the preset distance R is set according to actual configuration parameters of the 5G wireless communication module;

[0027] Divide the circular area into grids to obtain a plurality of grids corresponding to the circular area;

[0028] Monitor dust concentration in each grid;

[0029] Obtaining a dust distribution fluctuation value corresponding to the circular area according to the dust concentration in each grid, wherein the dust distribution fluctuation value is the standard deviation of the dust concentration corresponding to all grids;

[0030] comparing the rate of change of the gas concentration data with the rate of change of the humidity data;

[0031] The signal strength of the 5G wireless transmitting unit is adjusted according to the relationship between the change rate of the gas concentration data and the change rate of the humidity data combined with the dust distribution fluctuation value corresponding to the circular area.

[0032] Preferably, the signal strength of the 5G wireless transmission unit is adjusted according to the relationship between the rate of change of the gas concentration data and the rate of change of the humidity data in combination with the dust distribution fluctuation value corresponding to the circular area, including:

[0033] When the rate of change of the gas concentration data exceeds the rate of change of the humidity data, the dust distribution fluctuation value corresponding to the circular area is retrieved;

[0034] The dust concentration ratio parameter is obtained by performing ratio processing on the dust distribution fluctuation value corresponding to the circular area and the dust concentration average value corresponding to the preset circular area;

[0035] The signal strength of the 5G wireless transmission unit is adjusted using the change rate of the gas concentration data and the dust concentration ratio parameters;

[0036] The signal strength of the adjusted 5G wireless transmission unit is obtained by the following formula:

[0037]

[0038] Wherein, B represents the signal strength of the adjusted 5G wireless transmission unit; B 0 Indicates the signal strength of the 5G wireless transmission unit before adjustment; C y Indicates the preset reference value of gas concentration change rate; C indicates the change rate of gas concentration data; P indicates the dust concentration ratio parameter;

[0039] When the change rate of the gas concentration data does not exceed the change rate of the humidity data, the dust concentration ratio parameter is retrieved;

[0040] The signal strength of the 5G wireless transmission unit is adjusted by using the change rate of the gas concentration data and the change rate of the humidity data combined with the dust concentration ratio parameter;

[0041] The signal strength of the adjusted 5G wireless transmission unit is obtained by the following formula:

[0042]

[0043] Wherein, B represents the signal strength of the adjusted 5G wireless transmission unit; B 0 Indicates the signal strength of the 5G wireless transmission unit before adjustment; C y Indicates the preset reference value of gas concentration change rate; C indicates the change rate of gas concentration data; W indicates the change rate of humidity data; W y Indicates the preset reference value of the rate of change of humidity data; w 01 and w 02 The points represent the weight coefficients corresponding to the change rate of humidity data and the change rate of gas concentration data.

[0044] Preferably, the intelligent control cloud platform includes:

[0045] The big data processing module is used to clean, convert, integrate and extract features of the high-voltage outgoing switchgear operation data and determine the feature data of the high-voltage outgoing switchgear;

[0046] The big data analysis module is used to analyze the characteristic data of the high-voltage outlet switch cabinet, diagnose the fault of the high-voltage outlet switch cabinet, and determine the fault diagnosis result of the high-voltage outlet switch cabinet;

[0047] The intelligent control module is used to provide timely warning and maintenance management of high-voltage outgoing line switch cabinet faults, and to perform intelligent optimization control of the high-voltage outgoing line switch cabinet.

[0048] Preferably, the big data processing module includes:

[0049] A data cleaning unit is used to clean the operation data of the high-voltage outlet switch cabinet, remove the duplicate values, missing values ​​and abnormal values ​​in the operation data of the high-voltage outlet switch cabinet that are useless for the intelligent control of the high-voltage outlet switch cabinet, and fill and replace the missing values ​​and abnormal values ​​that are useful for the intelligent control of the high-voltage outlet switch cabinet;

[0050] A data conversion unit, used to convert the operation data of the high-voltage outgoing line switch cabinet, remove the dimension difference between the operation data of the high-voltage outgoing line switch cabinet, and determine the standardized operation data of the high-voltage outgoing line switch cabinet;

[0051] A data integration unit is used to integrate the operation data of the high-voltage outgoing line switch cabinet, integrate the operation data of the high-voltage outgoing line switch cabinet from different sources into a unified data view, and safely store the integrated operation data of the high-voltage outgoing line switch cabinet;

[0052] The feature extraction unit is used to extract features from the operation data of the high-voltage outgoing line switch cabinet, extract features related to the intelligent control of the high-voltage outgoing line switch cabinet from the operation data of the high-voltage outgoing line switch cabinet, and determine the feature data of the high-voltage outgoing line switch cabinet.

[0053] Preferably, the big data analysis module includes:

[0054] A model building unit, used to build a fault diagnosis model for high-voltage outgoing line switch cabinet;

[0055] Among them, the historical data of high-voltage outgoing line switch cabinets are collected, and based on deep learning technology, the historical data of high-voltage outgoing line switch cabinets are used to build a high-voltage outgoing line switch cabinet fault diagnosis model;

[0056] Fault diagnosis unit, used for fault diagnosis of high-voltage outgoing switchgear;

[0057] Among them, the high-voltage outgoing line switchgear fault diagnosis model is deployed in the actual high-voltage outgoing line switchgear operating environment, the high-voltage outgoing line switchgear characteristic data is input into the high-voltage outgoing line switchgear fault diagnosis model, and the high-voltage outgoing line switchgear characteristic data is analyzed based on the high-voltage outgoing line switchgear fault diagnosis model to diagnose the high-voltage outgoing line switchgear fault and determine the high-voltage outgoing line switchgear fault diagnosis result.

[0058] Preferably, a high-voltage outlet switch cabinet fault diagnosis model is constructed, and the following operations are performed:

[0059] Divide the collected historical data of the high-voltage outgoing line switch cabinet into a training set and a test set;

[0060] Based on deep learning technology, the deep learning model is trained with a training set, so that the deep learning model can autonomously learn the fault diagnosis behavior of the high-voltage outgoing line switch cabinet, and determine the fault diagnosis model of the high-voltage outgoing line switch cabinet based on deep learning;

[0061] Based on the test set, the high-voltage outgoing line switchgear fault diagnosis model based on deep learning is tested, and the accuracy, recall rate and F1 score are used to evaluate whether the high-voltage outgoing line switchgear fault diagnosis model based on deep learning can achieve the expected effect;

[0062] According to the test evaluation results, the parameters and structure of the high-voltage outgoing line switchgear fault diagnosis model based on deep learning are adjusted. After continuous iterative optimization, the optimal high-voltage outgoing line switchgear fault diagnosis model is determined.

[0063] Preferably, the intelligent control module comprises:

[0064] Fault warning unit, used to promptly warn of high-voltage outlet switch cabinet faults, and push alarm information in real time through the 5G network to remind management personnel;

[0065] The maintenance control unit is used to perform timely maintenance management and optimization control of high-voltage outgoing line switch cabinet faults. According to the fault conditions of the high-voltage outgoing line switch cabinet, the cause of the fault is found in time, and a maintenance management plan is formulated to perform maintenance management on the high-voltage outgoing line switch cabinet faults, and to perform intelligent optimization control on the high-voltage outgoing line switch cabinet.

[0066] Compared with the prior art, the present invention has the following beneficial effects:

[0067] The present invention determines the operation data of the high-voltage outlet switch cabinet by collecting electrical parameter data, switch status data, environmental parameter data and mechanical status data, and remotely transmits the collected operation data of the high-voltage outlet switch cabinet to the intelligent control cloud platform in real time through 5G base station access, cleans, converts, integrates and extracts features of the operation data of the high-voltage outlet switch cabinet through the intelligent control cloud platform, determines the characteristic data of the high-voltage outlet switch cabinet, diagnoses the fault of the high-voltage outlet switch cabinet by analyzing the characteristic data of the high-voltage outlet switch cabinet, determines the fault diagnosis result of the high-voltage outlet switch cabinet, and timely warns and maintains the fault of the high-voltage outlet switch cabinet according to the fault diagnosis result of the high-voltage outlet switch cabinet, and performs intelligent optimization control on the high-voltage outlet switch cabinet, which can effectively remotely monitor, diagnose faults and intelligently control the high-voltage outlet switch cabinet, and can effectively warn and quickly respond to faults, so that the high-voltage outlet switch cabinet has a good use effect, and can improve the safety, reliability and operation and maintenance efficiency of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 This is a module structure diagram of the intelligent control system of the high-voltage outlet switch cabinet based on 5G wireless communication of the present invention. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] In order to solve the existing problems of inability to effectively remotely monitor, diagnose and intelligently control high-voltage outgoing line switchgear, and inability to effectively warn and quickly respond to faults, resulting in poor use of high-voltage outgoing line switchgear and reduced safety, reliability and operation and maintenance efficiency of the power system, please refer to Figure 1 , this embodiment provides the following technical solutions:

[0071] Intelligent control system of high-voltage outgoing line switch cabinet based on 5G wireless communication, including: data sensing and acquisition terminal, 5G wireless communication module and intelligent control cloud platform;

[0072] Among them, the data sensing and acquisition terminal is used to collect electrical parameter data, switch status data, environmental parameter data and mechanical status data to determine the operation data of the high-voltage outgoing line switch cabinet;

[0073] In this embodiment, the data sensing and collecting terminal includes:

[0074] The electrical parameter acquisition unit is used to monitor and collect the voltage data, current data, power data, electric energy data and frequency data in real time during the operation of the high-voltage outlet switchgear to obtain the electrical parameter data;

[0075] It should be noted that voltage data includes three-phase voltage, line voltage, etc., which are used to monitor whether the voltage of the high-voltage outgoing switchgear is within the normal range; current data includes three-phase current, zero-sequence current, etc., which are used to monitor load current and fault current; power data includes active power, reactive power, apparent power, etc., which are used to evaluate the load condition of the high-voltage outgoing switchgear; electric energy data includes active electric energy, reactive electric energy, etc., which are used to measure electric energy consumption; frequency data is used to monitor whether the grid frequency is stable.

[0076] The switch status acquisition unit is used to monitor and collect the circuit breaker status, disconnector status, grounding switch status and operating mechanism status in real time during the operation of the high-voltage outgoing switch cabinet, and obtain switch status data;

[0077] It should be noted that the circuit breaker status includes the open and closed status, and the number of operations; the isolating switch status is used to monitor the position status of the isolating switch; the grounding switch status is used to monitor the position status of the grounding switch; the operating mechanism status includes the spring energy storage status, the motor running status, etc.

[0078] Environmental parameter acquisition unit, used to monitor and collect temperature data, humidity data, partial discharge data and gas concentration data in real time during the operation of high-voltage outlet switchgear, and obtain environmental parameter data;

[0079] It should be noted that temperature data is used to monitor the internal temperature of high-voltage outgoing line switch cabinets, especially the temperature of key parts such as circuit breaker contacts and cable joints; humidity data is used to monitor the internal humidity of high-voltage outgoing line switch cabinets to prevent the degradation of insulation performance due to excessive humidity; partial discharge data is used to monitor whether there is partial discharge inside the high-voltage outgoing line switch cabinet and evaluate the insulation status; gas concentration data is used to monitor gas leakage.

[0080] The mechanical state acquisition unit is used to monitor and collect the mechanical vibration data and mechanical displacement data during the operation of the high-voltage outlet switch cabinet in real time to obtain the mechanical state data;

[0081] It should be noted that mechanical vibration data is used to monitor the vibration of mechanical components inside the high-voltage outgoing line switch cabinet and evaluate the mechanical health status; mechanical displacement data is used to monitor the displacement of mechanical components inside the high-voltage outgoing line switch cabinet, such as the stroke of the circuit breaker, the opening and closing speed, etc.

[0082] Among them, the operation data of the high-voltage outgoing line switch cabinet is determined based on the electrical parameter data, switch status data, environmental parameter data and mechanical status data.

[0083] It should be noted that by collecting electrical parameter data, switch status data, environmental parameter data and mechanical status data, the operation data of the high-voltage outgoing line switch cabinet can be determined, and the operation process of the high-voltage outgoing line switch cabinet can be monitored in real time, so as to timely understand the operation status of the high-voltage outgoing line switch cabinet and timely discover the operation fault of the high-voltage outgoing line switch cabinet.

[0084] Among them, the 5G wireless communication module is used to remotely transmit the collected high-voltage outgoing switch cabinet operation data to the intelligent control cloud platform in real time through 5G base station access;

[0085] In this embodiment, the 5G wireless communication module includes:

[0086] 5G wireless transmission unit, used to send high-voltage outgoing line switch cabinet operation data through 5G base station;

[0087] 5G wireless receiving unit, used to receive high-voltage outgoing switchgear operation data through 5G base station;

[0088] Based on 5G network technology, through 5G base station access, the 5G wireless sending unit transmits the collected high-voltage outgoing switch cabinet operation data to the 5G wireless receiving unit, and the 5G wireless receiving unit remotely transmits the received high-voltage outgoing switch cabinet operation data to the intelligent control cloud platform.

[0089] It should be noted that the high bandwidth and low latency characteristics of the 5G network ensure the real-time and reliability of data transmission in the high-voltage outgoing line switchgear. It supports a transmission rate of up to tens of Gbps to meet the needs of massive data transmission, and the latency can be as low as 1 millisecond, which is suitable for application scenarios with high real-time requirements. It supports millions of devices online at the same time to meet the large-scale access needs of the Internet of Things. Through ultra-reliable low-latency communication technology, it ensures the stability and reliability of communication, and can achieve high-speed, low-latency, and large-connection data transmission.

[0090] Specifically, the execution steps of the 5G wireless communication module include:

[0091] Extract gas concentration data and humidity data obtained through real-time monitoring;

[0092] Comparing the gas concentration data with a preset concentration threshold;

[0093] When the gas concentration data exceeds a preset concentration threshold, the change rate of the current gas concentration data and the change rate of the humidity data are monitored in real time;

[0094] Taking the 5G wireless communication module as the center, obtaining a circular area centered on the 5G wireless communication module according to a preset distance R as a radius; wherein the preset distance R is set according to actual configuration parameters of the 5G wireless communication module;

[0095] Divide the circular area into grids to obtain a plurality of grids corresponding to the circular area;

[0096] Monitor dust concentration in each grid;

[0097] Obtaining a dust distribution fluctuation value corresponding to the circular area according to the dust concentration in each grid, wherein the dust distribution fluctuation value is the standard deviation of the dust concentration corresponding to all grids;

[0098] comparing the rate of change of the gas concentration data with the rate of change of the humidity data;

[0099] The signal strength of the 5G wireless transmitting unit is adjusted according to the relationship between the change rate of the gas concentration data and the change rate of the humidity data combined with the dust distribution fluctuation value corresponding to the circular area.

[0100] The technical effect of the above technical solution is: extract gas concentration data in real time and compare it with the preset concentration threshold. When the threshold is exceeded, its change rate is also monitored, so that abnormal changes in gas concentration can be discovered in time, and by obtaining the change rate, the dynamic trend of gas concentration can be grasped more accurately, which is helpful to make rapid response and accurate judgment on potential dangerous gas leakage and other situations, and improve the timeliness and accuracy performance indicators of gas monitoring. At the same time, the humidity data and its change rate are monitored and compared with the change rate of gas concentration data. Considering that humidity may affect the diffusion and reaction of gas, by comprehensively analyzing these environmental data, the environmental conditions can be understood more comprehensively, and the system's adaptability and analysis capabilities to complex environments can be improved, and the comprehensive performance indicators of environmental monitoring can be improved. The circular area centered on the 5G wireless communication module is gridded and the dust concentration in each grid is monitored, and then the dust distribution fluctuation value (standard deviation) is obtained, so that the distribution and fluctuation degree of dust concentration in the area can be accurately understood. This is of great significance for evaluating the degree of dust pollution and predicting the trend of dust diffusion, and improves the performance indicators of dust monitoring in regional analysis. Adjusting the signal strength of the 5G wireless transmission unit according to the gas concentration data change rate, humidity data change rate, and dust distribution fluctuation value can enable the 5G wireless communication module to dynamically adjust the signal strength according to the actual situation of the surrounding environment, avoid signal instability or signal waste caused by environmental factors (such as dust interference on the signal), improve the reliability, stability and signal transmission efficiency of 5G wireless communication and other performance indicators, and ensure the quality of data transmission. Through the comprehensive processing and analysis of various data (gas concentration, humidity, dust concentration, etc.), and making corresponding operations based on these analysis results (such as adjusting the 5G signal strength, etc.), it provides the system with more abundant decision-making basis, enhances the system's intelligence and automatic processing capabilities, and improves the performance indicators related to data processing and decision support.

[0101] Specifically, the signal strength of the 5G wireless transmission unit is adjusted according to the relationship between the change rate of the gas concentration data and the change rate of the humidity data combined with the dust distribution fluctuation value corresponding to the circular area, including:

[0102] When the rate of change of the gas concentration data exceeds the rate of change of the humidity data, the dust distribution fluctuation value corresponding to the circular area is retrieved;

[0103] The dust concentration ratio parameter is obtained by performing ratio processing on the dust distribution fluctuation value corresponding to the circular area and the dust concentration average value corresponding to the preset circular area;

[0104] The signal strength of the 5G wireless transmission unit is adjusted using the change rate of the gas concentration data and the dust concentration ratio parameters;

[0105] The signal strength of the adjusted 5G wireless transmission unit is obtained by the following formula:

[0106]

[0107] Wherein, B represents the signal strength of the adjusted 5G wireless transmission unit; B 0 Indicates the signal strength of the 5G wireless transmission unit before adjustment; C y Indicates the preset reference value of gas concentration change rate; C indicates the change rate of gas concentration data; P indicates the dust concentration ratio parameter;

[0108] When the change rate of the gas concentration data does not exceed the change rate of the humidity data, the dust concentration ratio parameter is retrieved;

[0109] The signal strength of the 5G wireless transmission unit is adjusted by using the change rate of the gas concentration data and the change rate of the humidity data combined with the dust concentration ratio parameter;

[0110] The signal strength of the adjusted 5G wireless transmission unit is obtained by the following formula:

[0111]

[0112] Wherein, B represents the signal strength of the adjusted 5G wireless transmission unit; B 0 Indicates the signal strength of the 5G wireless transmission unit before adjustment; C y Indicates the preset reference value of gas concentration change rate; C indicates the change rate of gas concentration data; W indicates the change rate of humidity data; W y Indicates the preset reference value of the rate of change of humidity data; w 01 and w 02 The points represent the weight coefficients corresponding to the change rate of humidity data and the change rate of gas concentration data.

[0113] The technical effect of the above technical solution is: according to the relationship between the gas concentration data change rate and the humidity data change rate, as well as the dust concentration ratio parameter, the signal strength of the 5G wireless transmission unit is adjusted, and accurate signal strength control can be achieved for different environmental conditions. When the gas concentration data change rate exceeds the humidity data change rate, the focus is on using the gas concentration change rate and the dust concentration ratio parameter for adjustment; conversely, the gas concentration change rate, the humidity data change rate and the dust concentration ratio parameter are comprehensively considered, and the influence of the two is balanced by the weight coefficient. This precise adjustment helps to optimize 5G signal transmission, improve signal stability and reliability, reduce signal interference and attenuation, and thus improve the accuracy and efficiency of data transmission. The solution fully considers the impact of various environmental factors on 5G signal transmission. Gas concentration, humidity and dust distribution are all important factors affecting wireless signal propagation. By monitoring the change rate of these parameters in real time and incorporating them into the consideration range of signal strength adjustment, the system can better adapt to complex and changing environmental conditions. For example, when the gas concentration changes dramatically or the dust concentration is high, the system can adjust the signal strength accordingly to ensure that 5G wireless communication is not excessively disturbed by environmental changes, maintain good communication performance, and enhance the adaptability and robustness of the system in different environments. By dynamically adjusting the signal strength of the 5G wireless transmission unit, excessive or insufficient configuration of signal strength is avoided. Reducing power when high signal strength is not required can reduce energy consumption, extend the service life of equipment, and improve energy efficiency; and timely increasing signal strength when environmental conditions are harsh and signal enhancement is required can ensure communication quality and avoid data transmission interruptions or errors, thereby optimizing the utilization of wireless communication resources and improving the overall performance and benefits of the system.

[0114] At the same time, the formula includes the change rate C of the gas concentration data and the preset gas concentration change rate reference value C y The relationship between the dust concentration ratio parameter P and the gas concentration change rate C will change the exponential function part accordingly, so that the adjusted signal strength B can dynamically adapt to the change of gas concentration. If the gas concentration change rate is large, the original signal strength B will be adjusted according to the formula logic. 0 Adjustments are made to ensure that the signal strength can match environmental changes. In addition, the introduction of the dust concentration ratio parameter P takes into account the impact of dust distribution in the environment on the signal. Different dust concentration distribution conditions (reflected by P) will cause different calculation results of the formula, thereby adjusting the signal strength, which will help optimize 5G signal transmission in a dusty environment, reduce dust interference with the signal, and improve the stability of signal transmission. On the other hand, when the rate of change of the gas concentration data does not exceed the rate of change of the humidity data, it not only includes the rate of change of the gas concentration data and the rate of change of the humidity data, but also introduces preset reference values ​​and weight coefficients corresponding to the rate of change of the gas concentration data and the rate of change of the humidity data. As well as the calculation related to the gas concentration change rate, it can comprehensively consider the influence of humidity, gas concentration, dust and other factors on the signal strength, making the signal strength adjustment more accurate. In addition, the above method can highlight the different importance of the humidity data change rate and the gas concentration data change rate to the signal strength adjustment, and enhance the system's initiative, accuracy, matching and flexibility with the environmental state in different environments.

[0115] Among them, the 5G wireless communication module adopts a low-power design, enters sleep mode when idle or under low load, wakes up the device through external events or network commands, and dynamically adjusts the power consumption configuration according to the working status and load conditions of the device.

[0116] Specifically, a 5G chip specially designed for low power consumption is used. In deep sleep state, non-essential modules such as the RF module and baseband processor are turned off, and only minimum functions such as the real-time clock RTC are retained. The device is woken up by external events or network commands to realize remote transmission of high-voltage line switch cabinet operating data.

[0117] Among them, the intelligent control cloud platform is used to process and analyze the operating data of the high-voltage outgoing line switch cabinet, and to provide timely early warning and maintenance management for high-voltage outgoing line switch cabinet failures.

[0118] In this embodiment, the intelligent control cloud platform includes: a big data processing module, a big data analysis module and an intelligent control module.

[0119] Among them, the big data processing module is used to clean, convert, integrate and extract features of the high-voltage outgoing line switch cabinet operation data to determine the feature data of the high-voltage outgoing line switch cabinet;

[0120] In this embodiment, the big data processing module includes:

[0121] A data cleaning unit is used to clean the operation data of the high-voltage outlet switch cabinet, remove the duplicate values, missing values ​​and abnormal values ​​in the operation data of the high-voltage outlet switch cabinet that are useless for the intelligent control of the high-voltage outlet switch cabinet, and fill and replace the missing values ​​and abnormal values ​​that are useful for the intelligent control of the high-voltage outlet switch cabinet;

[0122] A data conversion unit, used to convert the operation data of the high-voltage outgoing line switch cabinet, remove the dimension difference between the operation data of the high-voltage outgoing line switch cabinet, and determine the standardized operation data of the high-voltage outgoing line switch cabinet;

[0123] A data integration unit is used to integrate the operation data of the high-voltage outgoing line switch cabinet, integrate the operation data of the high-voltage outgoing line switch cabinet from different sources into a unified data view, and safely store the integrated operation data of the high-voltage outgoing line switch cabinet;

[0124] The feature extraction unit is used to extract features from the operation data of the high-voltage outgoing line switch cabinet, extract features related to the intelligent control of the high-voltage outgoing line switch cabinet from the operation data of the high-voltage outgoing line switch cabinet, and determine the feature data of the high-voltage outgoing line switch cabinet.

[0125] Among them, the big data analysis module is used to analyze the characteristic data of the high-voltage outgoing line switch cabinet, diagnose the fault of the high-voltage outgoing line switch cabinet, and determine the fault diagnosis result of the high-voltage outgoing line switch cabinet;

[0126] In this embodiment, the big data analysis module includes:

[0127] A model building unit, used to build a fault diagnosis model for high-voltage outgoing line switch cabinet;

[0128] Among them, the historical data of high-voltage outgoing line switch cabinets are collected, and based on deep learning technology, the historical data of high-voltage outgoing line switch cabinets are used to build a high-voltage outgoing line switch cabinet fault diagnosis model;

[0129] Fault diagnosis unit, used for fault diagnosis of high-voltage outgoing switchgear;

[0130] Among them, the high-voltage outgoing line switchgear fault diagnosis model is deployed in the actual high-voltage outgoing line switchgear operating environment, the high-voltage outgoing line switchgear characteristic data is input into the high-voltage outgoing line switchgear fault diagnosis model, and the high-voltage outgoing line switchgear characteristic data is analyzed based on the high-voltage outgoing line switchgear fault diagnosis model to diagnose the high-voltage outgoing line switchgear fault and determine the high-voltage outgoing line switchgear fault diagnosis result.

[0131] In this embodiment, a high-voltage outgoing line switch cabinet fault diagnosis model is constructed, and the following operations are performed:

[0132] Divide the collected historical data of the high-voltage outgoing line switch cabinet into a training set and a test set;

[0133] Based on deep learning technology, a training set is used to train the deep learning model, so that the deep learning model can autonomously learn the fault diagnosis behavior of the high-voltage outgoing line switch cabinet, and determine the fault diagnosis model of the high-voltage outgoing line switch cabinet based on deep learning;

[0134] Based on the test set, the high-voltage outgoing line switchgear fault diagnosis model based on deep learning is tested, and the accuracy, recall rate and F1 score are used to evaluate whether the high-voltage outgoing line switchgear fault diagnosis model based on deep learning can achieve the expected effect;

[0135] According to the test and evaluation results, the parameters and structure of the high-voltage outgoing line switchgear fault diagnosis model based on deep learning are adjusted. After continuous iterative optimization, the optimal high-voltage outgoing line switchgear fault diagnosis model is determined.

[0136] Among them, the intelligent control module is used to provide timely early warning and maintenance management of high-voltage outgoing line switch cabinet faults, and to perform intelligent optimization control of the high-voltage outgoing line switch cabinet.

[0137] In this embodiment, the intelligent control module includes:

[0138] Fault warning unit, used to promptly warn of high-voltage outlet switch cabinet faults, and push alarm information in real time through the 5G network to remind management personnel;

[0139] The maintenance control unit is used to perform timely maintenance management and optimization control of high-voltage outgoing line switch cabinet faults. According to the fault conditions of the high-voltage outgoing line switch cabinet, the cause of the fault is found in time, and a maintenance management plan is formulated to perform maintenance management on the high-voltage outgoing line switch cabinet faults, and to perform intelligent optimization control on the high-voltage outgoing line switch cabinet.

[0140] Specifically, daily inspection and regular maintenance can be carried out on high-voltage outgoing line switch cabinets;

[0141] Among them, visually inspect the appearance of the high-voltage outlet switch cabinet to see if there is damage, rust, dirt, etc.; check the environment around the high-voltage outlet switch cabinet to ensure that there is no water accumulation, no debris, and good ventilation; check whether the indicator lights and instrument displays are normal, and listen for abnormal sounds. Regularly clean the dust and dirt inside and outside the high-voltage outlet switch cabinet to keep the equipment clean; check and tighten the cable joints, busbar connection bolts, etc. to prevent loosening; lubricate the operating mechanisms of circuit breakers and disconnectors to ensure flexible operation.

[0142] In summary, the operating status of the high-voltage outgoing line switch cabinet can be monitored in real time, and functions such as remote operation and parameter setting can be provided. The faults of the high-voltage outgoing line switch cabinet can be quickly diagnosed and maintenance suggestions can be provided. The faults of the high-voltage outgoing line switch cabinet can be timely warned and maintained, and the high-voltage outgoing line switch cabinet can be intelligently optimized and controlled.

[0143] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article 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, article or device.

[0144] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent control system of high-voltage outlet switch cabinet based on 5G wireless communication, characterized in that: include: Data sensing and collection terminal collects electrical parameter data, switch status data, environmental parameter data and mechanical status data to determine the operation data of high-voltage outgoing line switch cabinet; 5G wireless communication module, through 5G base station access, transmits the collected high-voltage outgoing switch cabinet operation data to the intelligent control cloud platform in real time; Intelligent control cloud platform processes and analyzes the operating data of high-voltage outgoing line switch cabinets, and provides timely early warning and maintenance management for high-voltage outgoing line switch cabinet failures; Among them, a low-power design is adopted, which enters sleep mode in idle or low-load state, wakes up the device through external events or network commands, and dynamically adjusts the power consumption configuration according to the working status and load conditions of the device.

2. The intelligent control system for high-voltage outlet switch cabinet based on 5G wireless communication according to claim 1 is characterized in that: The data sensing and collecting terminal comprises: The electrical parameter acquisition unit monitors and collects the voltage data, current data, power data, electric energy data and frequency data during the operation of the high-voltage outgoing switchgear in real time to obtain electrical parameter data; The switch status acquisition unit monitors and collects the circuit breaker status, disconnector status, grounding switch status and operating mechanism status during the operation of the high-voltage outgoing switch cabinet in real time to obtain switch status data; The environmental parameter acquisition unit monitors and collects the temperature data, humidity data, partial discharge data and gas concentration data during the operation of the high-voltage outlet switchgear in real time to obtain environmental parameter data; The mechanical status acquisition unit monitors and collects the mechanical vibration data and mechanical displacement data during the operation of the high-voltage outlet switchgear in real time to obtain the mechanical status data; Among them, the operation data of the high-voltage outgoing line switch cabinet is determined based on the electrical parameter data, switch status data, environmental parameter data and mechanical status data.

3. The intelligent control system for high-voltage outlet switch cabinet based on 5G wireless communication according to claim 2 is characterized in that: The 5G wireless communication module comprises: 5G wireless transmission unit, which sends the operation data of high-voltage outgoing switch cabinet through 5G base station; 5G wireless receiving unit, which receives the operation data of high-voltage outgoing switchgear through 5G base station; Based on the 5G network, through 5G base station access, the 5G wireless sending unit transmits the collected high-voltage outgoing switch cabinet operation data to the 5G wireless receiving unit, and the 5G wireless receiving unit remotely transmits the received high-voltage outgoing switch cabinet operation data to the intelligent control cloud platform.

4. The intelligent control system for high-voltage outlet switch cabinet based on 5G wireless communication according to claim 3 is characterized in that: The execution steps of the 5G wireless communication module include: Extract gas concentration data and humidity data obtained through real-time monitoring; Comparing the gas concentration data with a preset concentration threshold; When the gas concentration data exceeds a preset concentration threshold, the change rate of the current gas concentration data and the change rate of the humidity data are monitored in real time; Taking the 5G wireless communication module as the center, obtaining a circular area centered on the 5G wireless communication module according to a preset distance R as a radius; Divide the circular area into grids to obtain a plurality of grids corresponding to the circular area; Monitor dust concentration in each grid; Obtaining a dust distribution fluctuation value corresponding to the circular area according to the dust concentration in each grid, wherein the dust distribution fluctuation value is the standard deviation of the dust concentration corresponding to all grids; comparing the rate of change of the gas concentration data with the rate of change of the humidity data; The signal strength of the 5G wireless transmitting unit is adjusted according to the relationship between the change rate of the gas concentration data and the change rate of the humidity data combined with the dust distribution fluctuation value corresponding to the circular area.

5. The intelligent control system for high-voltage outlet switch cabinet based on 5G wireless communication according to claim 4 is characterized in that: The signal strength of the 5G wireless transmission unit is adjusted according to the relationship between the change rate of the gas concentration data and the change rate of the humidity data combined with the dust distribution fluctuation value corresponding to the circular area, including: When the rate of change of the gas concentration data exceeds the rate of change of the humidity data, the dust distribution fluctuation value corresponding to the circular area is retrieved; The dust concentration ratio parameter is obtained by performing ratio processing on the dust distribution fluctuation value corresponding to the circular area and the dust concentration average value corresponding to the preset circular area; The signal strength of the 5G wireless transmission unit is adjusted using the change rate of the gas concentration data and the dust concentration ratio parameters; When the change rate of the gas concentration data does not exceed the change rate of the humidity data, the dust concentration ratio parameter is retrieved; The signal strength of the 5G wireless transmission unit is adjusted by using the change rate of the gas concentration data and the change rate of the humidity data combined with the dust concentration ratio parameter.

6. The intelligent control system of high-voltage outlet switch cabinet based on 5G wireless communication according to claim 3 is characterized in that: The intelligent control cloud platform includes: The big data processing module cleans, converts, integrates and extracts the operating data of the high-voltage outgoing switch cabinet and determines the characteristic data of the high-voltage outgoing switch cabinet; The big data analysis module analyzes the characteristic data of the high-voltage outgoing line switch cabinet, diagnoses the fault of the high-voltage outgoing line switch cabinet, and determines the fault diagnosis result of the high-voltage outgoing line switch cabinet; The intelligent control module provides timely warning and maintenance management for high-voltage outgoing line switch cabinet failures, and performs intelligent optimization control of the high-voltage outgoing line switch cabinet.

7. The intelligent control system for high-voltage outlet switch cabinet based on 5G wireless communication according to claim 6 is characterized in that: The big data processing module includes: A data cleaning unit is used to clean the operation data of the high-voltage outlet switch cabinet, remove the duplicate values, missing values ​​and abnormal values ​​in the operation data of the high-voltage outlet switch cabinet that are useless for the intelligent control of the high-voltage outlet switch cabinet, and fill and replace the missing values ​​and abnormal values ​​that are useful for the intelligent control of the high-voltage outlet switch cabinet; A data conversion unit, used to convert the operation data of the high-voltage outgoing line switch cabinet, remove the dimension difference between the operation data of the high-voltage outgoing line switch cabinet, and determine the standardized operation data of the high-voltage outgoing line switch cabinet; A data integration unit is used to integrate the operation data of the high-voltage outgoing line switch cabinet, integrate the operation data of the high-voltage outgoing line switch cabinet from different sources into a unified data view, and safely store the integrated operation data of the high-voltage outgoing line switch cabinet; The feature extraction unit is used to extract features from the operation data of the high-voltage outgoing line switch cabinet, extract features related to the intelligent control of the high-voltage outgoing line switch cabinet from the operation data of the high-voltage outgoing line switch cabinet, and determine the feature data of the high-voltage outgoing line switch cabinet.

8. The intelligent control system for high-voltage outlet switch cabinet based on 5G wireless communication according to claim 7 is characterized in that: The big data analysis module includes: A model building unit, used to build a fault diagnosis model for high-voltage outgoing line switch cabinet; Among them, the historical data of high-voltage outgoing line switch cabinets are collected, and based on deep learning technology, the historical data of high-voltage outgoing line switch cabinets are used to build a high-voltage outgoing line switch cabinet fault diagnosis model; Fault diagnosis unit, used for fault diagnosis of high-voltage outgoing switchgear; Among them, the high-voltage outgoing line switchgear fault diagnosis model is deployed in the actual high-voltage outgoing line switchgear operating environment, the high-voltage outgoing line switchgear characteristic data is input into the high-voltage outgoing line switchgear fault diagnosis model, and the high-voltage outgoing line switchgear characteristic data is analyzed based on the high-voltage outgoing line switchgear fault diagnosis model to diagnose the high-voltage outgoing line switchgear fault and determine the high-voltage outgoing line switchgear fault diagnosis result.

9. The intelligent control system for high-voltage outlet switch cabinet based on 5G wireless communication according to claim 8, characterized in that: Construct a fault diagnosis model for high-voltage outgoing switchgear and perform the following operations: Divide the collected historical data of the high-voltage outgoing line switch cabinet into a training set and a test set; Based on deep learning technology, a training set is used to train the deep learning model, so that the deep learning model can autonomously learn the fault diagnosis behavior of the high-voltage outgoing line switch cabinet, and determine the fault diagnosis model of the high-voltage outgoing line switch cabinet based on deep learning; Based on the test set, the high-voltage outgoing line switchgear fault diagnosis model based on deep learning is tested, and the accuracy, recall rate and F1 score are used to evaluate whether the high-voltage outgoing line switchgear fault diagnosis model based on deep learning can achieve the expected effect; According to the test and evaluation results, the parameters and structure of the high-voltage outgoing line switchgear fault diagnosis model based on deep learning are adjusted. After continuous iterative optimization, the optimal high-voltage outgoing line switchgear fault diagnosis model is determined.

10. The intelligent control system of high-voltage outlet switch cabinet based on 5G wireless communication according to claim 9, characterized in that: The intelligent control module comprises: Fault warning unit, used to promptly warn of high-voltage outlet switch cabinet faults, and push alarm information in real time through the 5G network to remind management personnel; The maintenance control unit is used to perform timely maintenance management and optimization control of high-voltage outgoing line switch cabinet faults. According to the fault conditions of the high-voltage outgoing line switch cabinet, the cause of the fault is found in time, and a maintenance management plan is formulated to perform maintenance management on the high-voltage outgoing line switch cabinet faults, and to perform intelligent optimization control on the high-voltage outgoing line switch cabinet.

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