Service risk early warning method and device based on problem court analysis

Abstract

The invention provides a service risk early warning method and device based on problem area analysis, relates to the technical field of power systems, and solves the technical problem of low accuracy of an analysis result of a problem area in a power system. The method comprises the steps that a detection device detects a first target wire position exceeding a preset electric quantity range in a wire device through a current detector, a voltage detector and an electromagnetic meter, detects an abnormal electric quantity value corresponding to the first target wire position, and determines a first wire area corresponding to the first target wire position as an electric quantity abnormal area; and the detection equipment determines electric quantity abnormal area positioning information corresponding to the electric quantity abnormal area through the first positioning device, and performs problem area analysis for the power system based on the electric quantity abnormal area positioning information, the abnormal electric quantity value, the abnormal temperature value and the high-temperature abnormal area to obtain a problem area analysis result.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a service risk early warning method and device based on problem substation analysis. Background Art

[0002] Currently, power systems may contain problem areas. Problem areas are areas with potential or existing problems. To effectively address these issues, comprehensive analysis of these problem areas is necessary. However, the current accuracy of identifying problem areas in power systems is low, resulting in low accuracy in the analysis results. Summary of the Invention

[0003] The object of the present invention is to provide a service risk early warning method and device based on problem substation analysis to solve the technical problem of low accuracy of analysis results of problem substations in a power system.

[0004] Firstly, this application provides a service risk warning method based on problem area analysis. A detection device is provided on a wire device in a power system. The detection device is provided with a roller device. The roller device drives the detection device on the wire device and slides along the wire direction via at least two rollers. The at least two rollers are respectively provided on the left and right sides of the wire device. The detection device is provided with a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe, and a first positioning device. The method includes: The detection device detects a first target wire position in the wire device that exceeds a preset power range by using the current detector, the voltage detector, and the electromagnetic meter, detects an abnormal power value corresponding to the first target wire position, and determines a first wire area corresponding to the first target wire position as an abnormal power area; The detection device determines the abnormal power area positioning information corresponding to the abnormal power area through the first positioning device; The detection device detects a second target wire position in the wire device that is higher than a preset temperature value by using the temperature sensor and the infrared probe, detects an abnormal temperature value corresponding to the second target wire position, and determines a second wire area corresponding to the second target wire position as a high temperature abnormal area; Based on the abnormal power area location information, the abnormal power value, the abnormal temperature value and the high temperature abnormal area, a problem area analysis is performed on the power system to obtain a problem area analysis result.

[0005] In one possible implementation, the detection device is connected to a drone, the drone is provided with a camera device and a second positioning device, and both the detection device and the drone are in wireless communication with a central monitoring terminal; The performing of problem area analysis on the power system based on the abnormal power area location information, the abnormal power value, the abnormal temperature value, and the abnormal high temperature area to obtain a problem area analysis result includes: The detection device transmits the abnormal power area location information to the drone via wireless communication, and transmits the abnormal power area location information and the abnormal power value to the general monitoring terminal via wireless communication; The detection device determines the abnormal temperature area positioning information corresponding to the abnormal high temperature area through the first positioning device, sends the abnormal temperature area positioning information to the drone through wireless communication, and sends the abnormal temperature area positioning information and the abnormal temperature value to the general monitoring terminal through wireless communication; The drone obtains the abnormal power area positioning information and the abnormal temperature area positioning information sent by the detection device, and controls the camera device to obtain an abnormal power area image corresponding to the abnormal power area according to the abnormal power area positioning information, and to obtain a high temperature area image corresponding to the high temperature area according to the abnormal temperature area positioning information; The drone transmits the image of the abnormal power area and the image of the abnormal high temperature area to the general monitoring terminal via wireless communication; The general monitoring terminal analyzes the problem substations in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area positioning information, the abnormal power value, the abnormal temperature area positioning information and the abnormal temperature value, obtains the problem substation analysis results, and issues a service risk warning based on the problem substation analysis results.

[0006] In one possible implementation, the drone is provided with a fixed connection device; and the method further includes: In response to the actual power level of the UAV being lower than a preset minimum power threshold, the UAV is fixedly connected to the detection device by controlling the fixed connection device through flight; When the roller device provided on the detection device is on the wire device and slides along the direction of the wire, the detection device drives the drone to move via the fixed connection device; In response to the detection device driving the drone to move, the drone controls its own power equipment to stop running.

[0007] In one possible implementation, the drone is provided with a soft ladder device; and the method further includes: In response to an inspection operation on a third target wire position on the wire device, the central monitoring terminal sends inspection area positioning information corresponding to the third target wire position to the detection device and the drone; The detection device generates a roller position fixing instruction for the third target wire position according to the received inspection area positioning information, and controls the roller device to be fixed at the third target wire position according to the roller position fixing instruction; The drone generates a drone position fixing instruction and a soft ladder opening instruction based on the received inspection area positioning information, and controls the fixed connection device to be fixed at the detection equipment according to the drone position fixing instruction, and controls the soft ladder device to open according to the soft ladder opening instruction, so that the bottom end of the soft ladder device droops to the ground due to its own gravity.

[0008] In one possible implementation, the general monitoring terminal performs problem substation analysis in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area location information, the abnormal power value, the abnormal temperature area location information, and the abnormal temperature value, and obtains a problem substation analysis result, including: The general monitoring terminal identifies abnormal conditions of electrical parameters in the power system by comparing historical data with real-time data based on the image of the abnormal power area, the image of the abnormal high temperature area, the positioning information of the abnormal power area, the abnormal power value, the positioning information of the abnormal temperature area, and the abnormal temperature value, and performs problem substation analysis in the power system based on the abnormal conditions to obtain problem substation analysis results; The abnormal situation identification process uses the standard score Z-Score to measure the degree to which the data point deviates from the mean. The abnormal situation identification formula is: ;in, is a single data point, is the sample mean, is the sample standard deviation; when When , the data point is considered abnormal, where k is a preset value.

[0009] In one possible implementation, the abnormal condition of the electrical parameter includes at least one or more of the following: Current overload, abnormal voltage fluctuation, and abnormal power.

[0010] In one possible implementation, the general monitoring terminal performs problem substation analysis in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area location information, the abnormal power value, the abnormal temperature area location information, and the abnormal temperature value, and obtains a problem substation analysis result, including: The general monitoring terminal analyzes the problem substations in the power system through big data analysis based on the image of the abnormal power area, the image of the abnormal high temperature area, the positioning information of the abnormal power area, the abnormal power value, the positioning information of the abnormal temperature area and the abnormal temperature value, and obtains the analysis results of the causes of abnormal problems in the problem substations.

[0011] In one possible implementation, the big data analysis method is to use a logistic regression model to predict the probability of failure, wherein the objective function of the logistic regression model is: ;in, is the weight vector, is the input feature vector, is the true label of the sample.

[0012] In a second aspect, the present application provides a service risk warning device based on problem area analysis, the device comprising: a detection device, a drone, and a general monitoring terminal, the detection device being arranged on a wire device in a power system, the detection device being provided with a roller device, the roller device driving the detection device on the wire device and sliding along the wire direction through at least two rollers, the at least two rollers being respectively arranged on the left and right sides of the wire device, the detection device being provided with a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe, and a first positioning device, the detection device being connected to the drone, the drone being provided with a camera device and a second positioning device, the detection device and the drone both being in wireless communication with the general monitoring terminal; The detection device is configured to detect a first target wire position in the wire device that exceeds a preset power range by using the current detector, the voltage detector, and the electromagnetic meter, detect an abnormal power value corresponding to the first target wire position, and determine a first wire area corresponding to the first target wire position as an abnormal power area; The detection device is used to determine the abnormal power area positioning information corresponding to the abnormal power area through the first positioning device, send the abnormal power area positioning information to the drone via wireless communication, and send the abnormal power area positioning information and the abnormal power value to the general monitoring terminal via wireless communication; The detection device is further configured to detect a second target wire position in the wire device having a temperature higher than a preset temperature value by using the temperature sensor and the infrared probe, detect an abnormal temperature value corresponding to the second target wire position, and determine a second wire region corresponding to the second target wire position as a high temperature abnormal region; The detection device is further configured to determine, by means of the first positioning device, the temperature abnormality area positioning information corresponding to the high temperature abnormality area, transmit the temperature abnormality area positioning information to the drone via wireless communication, and transmit the temperature abnormality area positioning information and the abnormal temperature value to the general monitoring terminal via wireless communication; The drone is used to obtain the abnormal power area positioning information and the abnormal temperature area positioning information sent by the detection device, and control the camera device to obtain an abnormal power area image corresponding to the abnormal power area according to the abnormal power area positioning information, and to obtain a high temperature area image corresponding to the high temperature area according to the abnormal temperature area positioning information; The drone is further configured to transmit the image of the abnormal power area and the image of the abnormal high temperature area to the general monitoring terminal via wireless communication; The general monitoring terminal is used to analyze the problem substations in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area positioning information, the abnormal power value, the abnormal temperature area positioning information and the abnormal temperature value, obtain the problem substation analysis results, and issue a service risk warning based on the problem substation analysis results.

[0013] In a third aspect, the present application provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the method described in the first aspect is implemented.

[0014] In a fourth aspect, the present application further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to execute the method described in the first aspect above.

[0015] This application brings the following beneficial effects: The present application provides a service risk warning method and device based on problem substation analysis. A detection device is provided on the wire device in the power system, and a roller device is provided on the detection device. The roller device drives the detection device on the wire device and slides along the wire direction through at least two rollers, and the at least two rollers are respectively provided on the left and right sides of the wire device. The detection device is provided with a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe and a first positioning device. In this method, the detection device detects a first target wire position in the wire device that exceeds a preset power range through the current detector, the voltage detector and the electromagnetic meter, detects an abnormal power value corresponding to the first target wire position, and determines a first wire area corresponding to the first target wire position as an abnormal power area. The detection device determines the abnormal power area positioning information corresponding to the abnormal power area through the first positioning device. The detection equipment detects a second target wire position in the wire device that is higher than a preset temperature value through a temperature sensor and an infrared probe, detects an abnormal temperature value corresponding to the second target wire position, and determines a second wire area corresponding to the second target wire position as a high-temperature abnormal area. The detection equipment determines the temperature abnormal area positioning information corresponding to the high-temperature abnormal area through a first positioning device, and performs a problem substation analysis on the power system based on the abnormal power area positioning information, the abnormal power value, the abnormal temperature value and the high-temperature abnormal area to obtain a problem substation analysis result. In this solution, by using a service risk warning method based on problem substation analysis and its supporting equipment, the problem substation in the power system can be accurately identified, thereby improving the accuracy of the analysis results of the problem substation in the power system, and solving the technical problem of low accuracy of the analysis results of the problem substation in the power system.

[0016] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific implementation methods or the description of the prior art. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 A flowchart of a service risk warning method based on problem area analysis provided in an embodiment of the present application; Figure 2 Another flowchart of the service risk warning method based on problem area analysis provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of a service risk warning device based on problem area analysis provided in an embodiment of the present application; Figure 4 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0019] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0020] The terms "including," "having," and any variations thereof, as used in the embodiments of this application, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not limited to the listed steps or units but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or apparatus.

[0021] Currently, the accuracy of the analysis results of problem substations in the power system is low. Based on this, the embodiments of the present application provide a service risk warning method and device based on problem substation analysis, which can solve the technical problem of low accuracy of the analysis results of problem substations in the power system.

[0022] The embodiments of the present invention are further described below with reference to the accompanying drawings.

[0023] Figure 1 A flow chart of a service risk warning method based on problem substation analysis provided in an embodiment of the present application. A detection device is provided on the wire device in the power system, and a roller device is provided on the detection device. The roller device drives the detection device on the wire device and slides along the wire direction through at least two rollers, and at least two rollers are respectively provided on the left and right sides of the wire device. The detection device is provided with a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe and a first positioning device. The detection device is connected to a drone, and the drone is provided with a camera device and a second positioning device. The detection device and the drone both communicate wirelessly with the main monitoring end. Figure 1 As shown, the method includes: In step S110, the detection device detects a first target wire position in the wire device that exceeds a preset power range through a current detector, a voltage detector, and an electromagnetic meter, detects an abnormal power value corresponding to the first target wire position, and determines a first wire area corresponding to the first target wire position as an abnormal power area.

[0024] In actual applications, a detection device is provided on the wire device in the power system, and a roller device is provided on the detection device. The detection device can slide on the wire device and along the wire direction through at least two roller devices. The detection device is provided with a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe and a first positioning device. The roller device is wirelessly connected to a drone, and the drone is provided with a second positioning device of a camera device.

[0025] The current detector, the voltage detector and the electromagnetic meter detect a first target wire position on the wire device that exceeds a preset power range, and determine a wire area corresponding to the first target wire position as a power abnormality area.

[0026] For current detection, a current detector is typically used to monitor the current intensity in the wire. When the current exceeds a preset safety range, which may be caused by an overload, short circuit, or other electrical fault, the current detector can quickly respond and trigger an alarm.

[0027] For example, a voltage detector monitors the voltage level across a wire. Abnormal voltage fluctuations, either too high or too low, can indicate a problem within the circuit. For example, a low voltage could indicate an overload or insufficient power supply; a high voltage could indicate a dangerous overvoltage condition.

[0028] As an alternative, an electromagnetic meter can be used to measure the electromagnetic field strength around power lines. The current in a power line generates a magnetic field, and if the current is abnormal, the corresponding magnetic field will also change. By monitoring the changes in the electromagnetic field, it is possible to indirectly determine whether the current in the power line is normal.

[0029] For abnormal power value detection, for example, when any of the above detectors detects an abnormality, the system will record the specific value of the current, voltage or electromagnetic field on the wire at that moment, that is, the abnormal power value.

[0030] In an optional embodiment, the system can combine data from current detectors, voltage detectors, and electromagnetic meters to accurately locate a specific section of the power line, also known as the "first target power line location." This location is marked as an abnormal power area.

[0031] For example, the system identifies the abnormal area by defining the area covered by the "first target wire location" as the "first wire area" and marks it as a region of abnormal power that requires special attention. For example, the detection equipment wirelessly transmits the abnormal power value and the location of the abnormal area to the drone and the central monitoring terminal via wireless communication for further investigation and processing.

[0032] In step S120, the detection equipment determines the power abnormal area positioning information corresponding to the power abnormal area through the first positioning device, sends the power abnormal area positioning information to the drone via wireless communication, and sends the power abnormal area positioning information and the abnormal power value to the main monitoring end via wireless communication.

[0033] As a possible implementation manner, the abnormal power area positioning information of the abnormal power area is determined by a first positioning device.

[0034] Among them, for power anomaly detection, the detection device collects power data through built-in sensors or externally connected sensors, and then uses preset thresholds or other methods to determine which areas have power anomalies.

[0035] Once the first positioning device detects a power anomaly, the detection device will use the first positioning device to accurately locate the location of the abnormal area. Positioning technology may include but is not limited to GPS positioning, Wi-Fi positioning, Bluetooth beacon positioning, or specific RFID technology.

[0036] During the wireless communication process to the drone, once the specific location of the abnormal power level is determined, the detection equipment will transmit this location information to the drone via wireless communication technologies such as Wi-Fi, Bluetooth, LoRa, and NB-IoT. After receiving this information, the drone can follow the instructions to proceed to the designated location and perform further operations, such as taking photos or videos for subsequent analysis.

[0037] During the wireless transmission process to the central monitoring terminal, the detection equipment can also transmit the location information of the abnormal power area and the abnormal power value to the central monitoring terminal via wireless communication. The central monitoring terminal can be a central server or a cloud platform, which is responsible for receiving information from multiple detection devices and aggregating, analyzing and processing it.

[0038] For data analysis and response, at the overall monitoring end, all received data will be stored and analyzed so that staff can promptly understand the status of the power grid, identify potential problems, and take necessary measures to solve the problems, such as dispatching technicians to the site for inspection or repair.

[0039] In step S130, the detection device detects a second target wire position in the wire device that is higher than a preset temperature value through a temperature sensor and an infrared probe, detects an abnormal temperature value corresponding to the second target wire position, and determines a second wire area corresponding to the second target wire position as a high temperature abnormal area.

[0040] In the embodiment of the present application, the temperature sensor and the infrared probe are used to detect a second target wire position on the wire device that is higher than a preset temperature value, and determine the wire area corresponding to the second target wire position as a high temperature abnormality area.

[0041] In step S140, the detection equipment determines the temperature abnormal area positioning information corresponding to the high temperature abnormal area through the first positioning device, sends the temperature abnormal area positioning information to the drone through wireless communication, and sends the temperature abnormal area positioning information and the abnormal temperature value to the main monitoring end through wireless communication.

[0042] In a possible implementation, the high temperature abnormality area positioning information of the high temperature abnormality area is determined by a second positioning device.

[0043] The primary positioning device is a key device used to precisely locate abnormally high temperature areas. This can be achieved through a variety of technologies, such as GPS, RFID tags, and ultrasonic positioning. Wireless communication is used to transmit the location information and abnormal temperature values ​​of abnormally high temperature areas to drones and the central monitoring terminal. After receiving this positioning information, the drone can automatically navigate to the designated location and perform further inspection tasks, such as taking high-definition photos and videos or using other sensors to obtain more information. The central monitoring terminal serves as the control center for the entire system, responsible for receiving all data, analyzing and processing it, and making decisions.

[0044] In step S150, the drone obtains the power abnormality area positioning information and the temperature abnormality area positioning information sent by the detection equipment, and controls the camera device to obtain the power abnormality area image corresponding to the power abnormality area according to the power abnormality area positioning information, and to obtain the high temperature abnormality area image corresponding to the high temperature abnormality area according to the temperature abnormality area positioning information.

[0045] The drone obtains the positioning information of the abnormal power area and the positioning information of the abnormal high temperature area sent by the detection equipment; obtains the abnormal power area image corresponding to the abnormal power area based on the positioning information of the abnormal power area through the camera device; and obtains the high temperature area image corresponding to the high temperature area based on the positioning information of the abnormal power area through the camera device.

[0046] In step S160 , the drone transmits the image of the abnormal power area and the image of the abnormal high temperature area to the central monitoring terminal via wireless communication.

[0047] As an optional implementation, the drone sends images of abnormal power areas and abnormal high temperature areas to the overall monitoring end via wireless communication, so that the overall monitoring end performs risk assessment using a risk assessment model.

[0048] In step S170, the main monitoring terminal analyzes the problem substations in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area positioning information, the abnormal power value, the abnormal temperature area positioning information and the abnormal temperature value, obtains the problem substation analysis results, and issues a service risk warning based on the problem substation analysis results.

[0049] This step may specifically include the following process: the main monitoring terminal identifies abnormal conditions of electrical parameters in the power system by comparing historical data with real-time data based on the image of the abnormal power area, the image of the abnormal high temperature area, the location information of the abnormal power area, the abnormal power value, the location information of the abnormal temperature area, and the abnormal temperature value, and analyzes the problem substations in the power system based on the abnormal conditions to obtain the problem substation analysis results; wherein, the abnormal condition identification process uses the standard score Z-Score to measure the degree of deviation of the data point from the mean, and the abnormal condition identification formula is: ;in, is a single data point, is the sample mean, is the sample standard deviation; when When , the data point is considered abnormal, where k is a preset value.

[0050] In an optional embodiment, the abnormal condition of the electrical parameters includes at least one or more of the following: current overload, abnormal voltage fluctuation, and abnormal power.

[0051] For example, identifying problem substations involves using smart sensors, remote terminal units (RTUs), and other devices to collect real-time electrical parameters within the substation, such as voltage, current, and power factor. By comparing historical data with real-time data, abnormal changes in electrical parameters, such as voltage fluctuations and current overloads, can be identified. In conjunction with a geographic information system (GIS), abnormal data can be mapped to specific geographic locations to quickly locate problem substations. Statistical methods can be used to identify outliers. The Z-Score (standard score) can be used to measure the degree to which a data point deviates from the mean.

[0052] In the embodiments of the present application, by using a service risk warning method based on problem substation analysis and its supporting equipment, it is possible to accurately identify problem substations in the power system, thereby improving the accuracy of the analysis results of problem substations in the power system, solving the technical problem of low accuracy of the analysis results of problem substations in the power system, and effectively realizing immediate warning and proper handling of potential risks in the power system. This not only significantly enhances the overall stability and power supply reliability of the power grid, but also greatly reduces maintenance costs and economic losses caused by accidents.

[0053] The above steps are described in detail below.

[0054] In some embodiments, a fixed connection device is provided on the drone; Figure 2 As shown, the method may further include the following steps: Step S210: In response to the actual power level of the drone being lower than a preset minimum power threshold, the drone is fixedly connected to the detection device via the flight control fixed connection device; Step S220, when the roller device provided on the detection device slides on the wire device and along the wire direction, the detection device drives the drone to move through the fixed connection device; In step S230 , in response to the detection device driving the drone to move, the drone controls its own power equipment to stop running.

[0055] The drone is equipped with a fixed connection device. When the drone's battery level drops below a preset level, the drone uses flight control to securely connect to the detection device through the fixed connection device. When the roller device on the detection device runs on the wire device and slides along the wire, the detection device drives the drone through the fixed connection device. This saves the drone's flight power consumption and reduces the cost of identifying problematic substations in the power system.

[0056] In some embodiments, a soft ladder device is provided on the drone; the method may further include the following steps: the main monitoring end sends inspection area positioning information corresponding to the third target wire position to the detection equipment and the drone in response to the inspection operation for the third target wire position on the wire device; the detection equipment generates a roller position fixing instruction for the third target wire position based on the received inspection area positioning information, and controls the roller device to be fixed at the third target wire position according to the roller position fixing instruction; the drone generates a drone position fixing instruction and a soft ladder opening instruction based on the received inspection area positioning information, and controls the fixed connection device to be fixed at the detection equipment according to the drone position fixing instruction, and controls the soft ladder device to be opened according to the soft ladder opening instruction, so that the bottom end of the soft ladder device droops to the ground due to its own gravity.

[0057] The drone is provided with a soft ladder device. The detection equipment controls the roller device provided on the detection equipment to be fixed to the third target wire position on the wire device according to the received first fixing instruction. The drone controls itself to be fixed to the detection equipment according to the received second fixing instruction. The drone controls the soft ladder device to be opened according to the received soft ladder opening instruction, so that the bottom end of the soft ladder device droops to the ground due to gravity, thereby facilitating maintenance personnel to go to the inspection area through the soft ladder device to perform accuracy inspection and maintenance processing.

[0058] In some embodiments, the above-mentioned step S170 may specifically include the following steps: the general monitoring end analyzes the problem substations in the power system through big data analysis based on the image of the abnormal power area, the image of the abnormal high temperature area, the positioning information of the abnormal power area, the abnormal power value, the positioning information of the abnormal temperature area and the abnormal temperature value, and obtains the analysis results of the causes of the abnormal problems in the problem substations.

[0059] The big data analysis method is to use the logistic regression model to predict the probability of failure, where the objective function of the logistic regression model is: ;in, is the weight vector, is the input feature vector, is the true label of the sample.

[0060] For data analysis, big data analysis techniques are used to deeply explore collected data to identify the root causes of problems. The big data analysis process utilizes classification or regression algorithms in machine learning. In classification tasks, logistic regression models can be used to predict the probability of a device failing, thereby improving the efficiency and accuracy of fault prediction results.

[0061] Figure 3 A structural diagram of a service risk early warning device based on problem area analysis is provided. Figure 3As shown, a service risk warning device 300 based on problem substation analysis includes: a detection device 301, a drone 302 and a general monitoring terminal 303; the detection device is arranged on a wire device 304 in the power system, and the detection device is provided with a roller device, and the roller device drives the detection device on the wire device and slides along the wire direction through at least two rollers, and the at least two rollers are respectively arranged on the left and right sides of the wire device. The detection device is provided with a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe and a first positioning device, the detection device is connected to the drone, and the drone is provided with a camera device and a second positioning device, and the detection device and the drone both communicate wirelessly with the general monitoring terminal; The detection device is configured to detect a first target wire position in the wire device that exceeds a preset power range by using the current detector, the voltage detector, and the electromagnetic meter, detect an abnormal power value corresponding to the first target wire position, and determine a first wire area corresponding to the first target wire position as an abnormal power area; The detection device is used to determine the abnormal power area positioning information corresponding to the abnormal power area through the first positioning device, send the abnormal power area positioning information to the drone via wireless communication, and send the abnormal power area positioning information and the abnormal power value to the general monitoring terminal via wireless communication; The detection device is further configured to detect a second target wire position in the wire device having a temperature higher than a preset temperature value by using the temperature sensor and the infrared probe, detect an abnormal temperature value corresponding to the second target wire position, and determine a second wire region corresponding to the second target wire position as a high temperature abnormal region; The detection device is further configured to determine, by means of the first positioning device, the temperature abnormality area positioning information corresponding to the high temperature abnormality area, transmit the temperature abnormality area positioning information to the drone via wireless communication, and transmit the temperature abnormality area positioning information and the abnormal temperature value to the general monitoring terminal via wireless communication; The drone is used to obtain the abnormal power area positioning information and the abnormal temperature area positioning information sent by the detection device, and control the camera device to obtain an abnormal power area image corresponding to the abnormal power area according to the abnormal power area positioning information, and to obtain a high temperature area image corresponding to the high temperature area according to the abnormal temperature area positioning information; The drone is also used to send the image of the abnormal power area and the image of the abnormal high temperature area to the general monitoring end through wireless communication; the general monitoring end is used to analyze the problem substations in the power system based on the image of the abnormal power area, the image of the abnormal high temperature area, the positioning information of the abnormal power area, the abnormal power value, the positioning information of the abnormal temperature area and the abnormal temperature value, obtain the analysis results of the problem substations, and issue service risk warnings based on the analysis results of the problem substations.

[0062] The service risk warning device based on problem area analysis provided in the embodiment of the present application has the same technical features as the service risk warning method based on problem area analysis provided in the above embodiment, so it can also solve the same technical problems and achieve the same technical effects.

[0063] An electronic device provided in an embodiment of the present application is Figure 4 As shown, the electronic device 400 includes a processor 402 and a memory 401 , wherein the memory stores a computer program that can be run on the processor, and the processor implements the steps of the method provided in the above embodiment when executing the computer program.

[0064] See also Figure 4 The electronic device further includes: a bus 403 and a communication interface 404, a processor 402, a communication interface 404 and a memory 401 connected via the bus 403; the processor 402 is used to execute executable modules stored in the memory 401, such as computer programs.

[0065] Memory 401 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk drive. Communication between the system network element and at least one other network element is achieved via at least one communication interface 404 (which may be wired or wireless), and may utilize the Internet, a wide area network, a local area network, a metropolitan area network, or the like.

[0066] The bus 403 may be an ISA bus, a PCI bus, or an EISA bus. The bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0067] Among them, the memory 401 is used to store programs, and the processor 402 executes the program after receiving the execution instruction. The method executed by the device defined by the process disclosed in any embodiment of the present application can be applied to the processor 402 or implemented by the processor 402.

[0068] The processor 402 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by an integrated logic circuit of hardware in the processor 402 or by instructions in the form of software. The above-mentioned processor 402 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The various methods, steps, and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in memory 401, and processor 402 reads the information in memory 401 and, in conjunction with its hardware, completes the steps of the above method.

[0069] Corresponding to the above-mentioned service risk warning method based on problem area analysis, an embodiment of the present application also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor, the computer-executable instructions prompt the processor to execute the steps of the above-mentioned service risk warning method based on problem area analysis.

[0070] The service risk warning device based on problem area analysis provided in the embodiment of the present application can be specific hardware on the device or software or firmware installed on the device. The implementation principle and technical effects of the device provided in the embodiment of the present application are the same as those in the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can all refer to the corresponding processes in the aforementioned method embodiment, and will not be repeated here.

[0071] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0072] For another example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions and operations of the devices, methods and computer program products according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0073] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0074] In addition, each functional unit in the embodiments provided in the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0075] If the function 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 application, or the part that contributes to the prior art, or the 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 enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the service risk warning method based on problem area analysis described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0076] It should be noted that similar numbers and letters represent similar items in the following figures. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and are not to be understood as indicating or implying relative importance.

[0077] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The scope of protection of the present application is not limited thereto. Although the present application has been described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-mentioned embodiments within the technical scope disclosed in the present application, or perform equivalent replacements for some of the technical features thereof. However, these modifications, changes, or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application. They should all be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A service risk early warning method based on problem area analysis, characterized in that: A detection device is provided on a wire device in a power system. The detection device is provided with a roller device. The roller device drives the detection device on the wire device and slides along the wire direction via at least two rollers. The at least two rollers are respectively provided on the left and right sides of the wire device. The detection device is provided with a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe, and a first positioning device. The method includes: The detection device detects a first target wire position in the wire device that exceeds a preset power range by using the current detector, the voltage detector, and the electromagnetic meter, detects an abnormal power value corresponding to the first target wire position, and determines a first wire area corresponding to the first target wire position as an abnormal power area; The detection device determines the abnormal power area positioning information corresponding to the abnormal power area through the first positioning device; The detection device detects a second target wire position in the wire device that is higher than a preset temperature value by using the temperature sensor and the infrared probe, detects an abnormal temperature value corresponding to the second target wire position, and determines a second wire area corresponding to the second target wire position as a high temperature abnormal area; Based on the abnormal power area location information, the abnormal power value, the abnormal temperature value and the high temperature abnormal area, a problem area analysis is performed on the power system to obtain a problem area analysis result.

2. The method according to claim 1, characterized in that The detection device is connected to a drone, which is provided with a camera device and a second positioning device, and both the detection device and the drone are in wireless communication with the main monitoring terminal; The performing of problem area analysis on the power system based on the abnormal power area location information, the abnormal power value, the abnormal temperature value, and the abnormal high temperature area to obtain a problem area analysis result includes: The detection device transmits the abnormal power area location information to the drone via wireless communication, and transmits the abnormal power area location information and the abnormal power value to the general monitoring terminal via wireless communication; The detection device determines the abnormal temperature area positioning information corresponding to the abnormal high temperature area through the first positioning device, sends the abnormal temperature area positioning information to the drone through wireless communication, and sends the abnormal temperature area positioning information and the abnormal temperature value to the general monitoring terminal through wireless communication; The drone obtains the abnormal power area positioning information and the abnormal temperature area positioning information sent by the detection device, and controls the camera device to obtain an abnormal power area image corresponding to the abnormal power area according to the abnormal power area positioning information, and to obtain a high temperature area image corresponding to the high temperature area according to the abnormal temperature area positioning information; The drone transmits the image of the abnormal power area and the image of the abnormal high temperature area to the general monitoring terminal via wireless communication; The general monitoring terminal analyzes the problem substations in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area positioning information, the abnormal power value, the abnormal temperature area positioning information and the abnormal temperature value, obtains the problem substation analysis results, and issues a service risk warning based on the problem substation analysis results.

3. The method according to claim 2, characterized in that The UAV is provided with a fixed connection device; the method further comprises: In response to the actual power level of the UAV being lower than a preset minimum power threshold, the UAV is fixedly connected to the detection device by controlling the fixed connection device through flight; When the roller device provided on the detection device is on the wire device and slides along the direction of the wire, the detection device drives the drone to move via the fixed connection device; In response to the detection device driving the drone to move, the drone controls its own power equipment to stop running.

4. The method according to claim 3, characterized in that The drone is provided with a soft ladder device; the method further comprises: In response to an inspection operation on a third target wire position on the wire device, the central monitoring terminal sends inspection area positioning information corresponding to the third target wire position to the detection device and the drone; The detection device generates a roller position fixing instruction for the third target wire position according to the received inspection area positioning information, and controls the roller device to be fixed at the third target wire position according to the roller position fixing instruction; The drone generates a drone position fixing instruction and a soft ladder opening instruction based on the received inspection area positioning information, and controls the fixed connection device to be fixed at the detection equipment according to the drone position fixing instruction, and controls the soft ladder device to open according to the soft ladder opening instruction, so that the bottom end of the soft ladder device droops to the ground due to its own gravity.

5. The method according to claim 2, characterized in that The general monitoring terminal performs problem substation analysis in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area location information, the abnormal power value, the abnormal temperature area location information, and the abnormal temperature value, and obtains a problem substation analysis result, including: The general monitoring terminal identifies abnormal conditions of electrical parameters in the power system by comparing historical data with real-time data based on the image of the abnormal power area, the image of the abnormal high temperature area, the positioning information of the abnormal power area, the abnormal power value, the positioning information of the abnormal temperature area, and the abnormal temperature value, and performs problem substation analysis in the power system based on the abnormal conditions to obtain problem substation analysis results; The abnormal situation identification process uses the standard score Z-Score to measure the degree to which the data point deviates from the mean. The abnormal situation identification formula is: ;in, is a single data point, is the sample mean, is the sample standard deviation; when When , the data point is considered abnormal, where k is a preset value.

6. The method according to claim 5, characterized in that The abnormal conditions of the electrical parameters include at least one or more of the following: Current overload, abnormal voltage fluctuation, and abnormal power.

7. The method according to claim 2, characterized in that The general monitoring terminal performs problem substation analysis in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area location information, the abnormal power value, the abnormal temperature area location information, and the abnormal temperature value, and obtains a problem substation analysis result, including: The general monitoring terminal analyzes the problem substations in the power system through big data analysis based on the image of the abnormal power area, the image of the abnormal high temperature area, the positioning information of the abnormal power area, the abnormal power value, the positioning information of the abnormal temperature area and the abnormal temperature value, and obtains the analysis results of the causes of abnormal problems in the problem substations.

8. The method according to claim 7, characterized in that The big data analysis method is to use a logistic regression model to predict the probability of failure, wherein the objective function of the logistic regression model is: ;in, is the weight vector, is the input feature vector, is the true label of the sample.

9. A service risk early warning device based on problem area analysis, characterized in that: The device includes: a detection device, a drone, and a general monitoring terminal. The detection device is arranged on a wire device in the power system. The detection device is provided with a roller device. The roller device drives the detection device on the wire device and slides along the wire direction through at least two rollers. The at least two rollers are respectively arranged on the left and right sides of the wire device. The detection device is provided with a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe, and a first positioning device. The detection device is connected to the drone. The drone is provided with a camera device and a second positioning device. The detection device and the drone both communicate wirelessly with the general monitoring terminal. The detection device is configured to detect a first target wire position in the wire device that exceeds a preset power range by using the current detector, the voltage detector, and the electromagnetic meter, detect an abnormal power value corresponding to the first target wire position, and determine a first wire area corresponding to the first target wire position as an abnormal power area; The detection device is used to determine the abnormal power area positioning information corresponding to the abnormal power area through the first positioning device, send the abnormal power area positioning information to the drone via wireless communication, and send the abnormal power area positioning information and the abnormal power value to the general monitoring terminal via wireless communication; The detection device is further configured to detect a second target wire position in the wire device having a temperature higher than a preset temperature value by using the temperature sensor and the infrared probe, detect an abnormal temperature value corresponding to the second target wire position, and determine a second wire region corresponding to the second target wire position as a high temperature abnormal region; The detection device is further configured to determine, by means of the first positioning device, the temperature abnormality area positioning information corresponding to the high temperature abnormality area, transmit the temperature abnormality area positioning information to the drone via wireless communication, and transmit the temperature abnormality area positioning information and the abnormal temperature value to the general monitoring terminal via wireless communication; The drone is used to obtain the abnormal power area positioning information and the abnormal temperature area positioning information sent by the detection device, and control the camera device to obtain an abnormal power area image corresponding to the abnormal power area according to the abnormal power area positioning information, and to obtain a high temperature area image corresponding to the high temperature area according to the abnormal temperature area positioning information; The drone is further configured to transmit the image of the abnormal power area and the image of the abnormal high temperature area to the general monitoring terminal via wireless communication; The general monitoring terminal is used to analyze the problem substations in the power system based on the abnormal power area image, the abnormal high temperature area image, the abnormal power area positioning information, the abnormal power value, the abnormal temperature area positioning information and the abnormal temperature value, obtain the problem substation analysis results, and issue a service risk warning based on the problem substation analysis results.

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