Service risk early warning method and device based on problem transformer substation analysis

Abstract

The application provides a service risk early warning method and device based on problem transformer area analysis, relates to the technical field of power systems, and solves the technical problem of low accuracy of analysis results of problem transformer areas in a power system. The method comprises the following steps: detecting a first target wire position exceeding a preset power range in a wire device by a current detector, a voltage detector and an electromagnetic meter, detecting an abnormal power value corresponding to the first target wire position, and determining a first wire area corresponding to the first target wire position as a power abnormal area; the detection equipment determines power abnormal area positioning information corresponding to the power abnormal area by a first positioning device, and analyzes the problem transformer area of the power system based on the power abnormal area positioning information, the abnormal power value, the abnormal temperature value and the high-temperature abnormal area to obtain a problem transformer area analysis result.

Description

TECHNICAL FIELD

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

[0002] At present, there may be problem transformer areas in the power system, which refer to areas with potential problems or problems that have already occurred. In order to effectively deal with these problems, comprehensive analysis of problem transformer areas is needed. However, the identification accuracy of problem transformer areas in the power system is low at present, resulting in low accuracy of analysis results of problem transformer areas in the power system. SUMMARY

[0003] The purpose of the present application is to provide a service risk early warning method and device based on problem transformer area analysis to solve the technical problem of low accuracy of analysis results of problem transformer areas in the power system.

[0004] In a first aspect, the present application provides a service risk early warning method based on problem transformer area analysis,

[0005] A detection device is arranged on a wire device in a power system, and a roller device is arranged on the detection device. The roller device drives the detection device to slide on the wire device and in the direction of the wire through at least two rollers. The at least two rollers are arranged on the left and right sides of the wire device, respectively. 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 comprises the following steps:

[0006] The detection device detects a first target wire position that exceeds a preset power range in the wire device 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 a power abnormal area;

[0007] The detection device determines power abnormal area positioning information corresponding to the power abnormal area through the first positioning device;

[0008] The detection device detects a second target wire position that is higher than a preset temperature value in the wire device through 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;

[0009] Based on the power abnormal area positioning information, the abnormal power value, the abnormal temperature value, and the high-temperature abnormal area, problem transformer area analysis of the power system is performed to obtain problem transformer area analysis results.

[0010] In a possible implementation, the detection device is connected with a UAV, the UAV is provided with a camera device and a second positioning device, and the detection device and the UAV are in wireless communication with a general monitoring terminal;

[0011] The problem transformer area analysis result is obtained based on the abnormal power area positioning information, the abnormal power value, the abnormal temperature value and the high-temperature abnormal area, and includes:

[0012] The detection device sends the abnormal power area positioning information to the UAV through wireless communication, and sends the abnormal power area positioning information and the abnormal power value to the general monitoring terminal through wireless communication;

[0013] The detection device 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 UAV through wireless communication, and sends the temperature abnormal area positioning information and the abnormal temperature value to the general monitoring terminal through wireless communication;

[0014] The UAV acquires the abnormal power area positioning information and the temperature abnormal area positioning information sent by the detection device, and controls the camera device to acquire the abnormal power area image corresponding to the abnormal power area according to the abnormal power area positioning information and to acquire the high-temperature abnormal area image corresponding to the high-temperature abnormal area according to the temperature abnormal area positioning information;

[0015] The UAV sends the abnormal power area image and the high-temperature abnormal area image to the general monitoring terminal through wireless communication;

[0016] The general monitoring terminal performs problem transformer area analysis in the power system based on the abnormal power area image, the high-temperature abnormal area image, the abnormal power area positioning information, the abnormal power value, the temperature abnormal area positioning information and the abnormal temperature value, obtains a problem transformer area analysis result, and performs service risk early warning according to the problem transformer area analysis result.

[0017] In a possible implementation, the UAV is provided with a fixed connection device; and the method further includes:

[0018] In response to the actual power of the UAV being lower than a preset minimum power threshold, the UAV is fixedly connected to the detection device through flight control of the fixed connection device;

[0019] When the roller device arranged on the detection equipment slides on the electric wire device and along the electric wire direction, the detection equipment drives the unmanned aerial vehicle to move through the fixed connection device;

[0020] In response to the detection equipment driving the unmanned aerial vehicle to move, the unmanned aerial vehicle controls its power equipment to stop running.

[0021] In one possible implementation, a soft ladder device is arranged on the unmanned aerial vehicle; the method further comprises:

[0022] The total monitoring end sends inspection area positioning information corresponding to a third target electric wire position on the electric wire device to the detection equipment and the unmanned aerial vehicle in response to an inspection operation on the third target electric wire position;

[0023] The detection equipment generates a roller position fixing instruction for the third target electric wire position according to the received inspection area positioning information, and controls the roller device to be fixed at the third target electric wire position according to the roller position fixing instruction;

[0024] The unmanned aerial vehicle generates an unmanned aerial vehicle position fixing instruction and a soft ladder opening instruction according to the received inspection area positioning information, controls the fixed connection device to be fixed at the detection equipment according to the unmanned aerial vehicle 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 is lowered to the ground by its own gravity.

[0025] In one possible implementation, the total monitoring end analyzes a problem transformer area in the power system based on the electric quantity abnormal area image, the high temperature abnormal area image, the electric quantity abnormal area positioning information, the abnormal electric quantity value, the temperature abnormal area positioning information, and the abnormal temperature value, to obtain a problem transformer area analysis result, which includes:

[0026] The total monitoring end analyzes a problem transformer area in the power system based on the electric quantity abnormal area image, the high temperature abnormal area image, the electric quantity abnormal area positioning information, the abnormal electric quantity value, the temperature abnormal area positioning information, and the abnormal temperature value, by comparing historical data with real-time data to identify an abnormal situation of an electrical parameter in the power system, and based on the abnormal situation, to obtain a problem transformer area analysis result.

[0027] The identification process of the abnormal situation is to measure the degree of deviation of a data point from a mean value by using a standard score Z-Score, and the identification formula of the abnormal situation is:

[0028] ; wherein, is a single data point, is a sample average value, is a sample standard deviation; when the data point is considered abnormal, wherein k is a preset value.

[0029] In one possible implementation, the abnormal situation of the electrical parameter includes at least one or more of the following:

[0030] a current overload phenomenon, a voltage fluctuation abnormal situation, and a power abnormal situation.

[0031] In one possible implementation, the total monitoring end performs problem transformer area analysis in the power system based on the electrical quantity abnormal area image, the high-temperature abnormal area image, the electrical quantity abnormal area positioning information, the abnormal electrical quantity value, the temperature abnormal area positioning information, and the abnormal temperature value, to obtain a problem transformer area analysis result, including:

[0032] The total monitoring end performs problem transformer area analysis in the power system based on the electrical quantity abnormal area image, the high-temperature abnormal area image, the electrical quantity abnormal area positioning information, the abnormal electrical quantity value, the temperature abnormal area positioning information, and the abnormal temperature value, through a big data analysis manner, to obtain an abnormal problem cause analysis result in the problem transformer area.

[0033] In one possible implementation, the big data analysis manner is to predict a probability of occurrence of a fault by using a logistic regression model, wherein a target function of the logistic regression model is:

[0034] ; wherein, is a weight vector, is an input feature vector, is a true label of a sample.

[0035] In a second aspect, the present application provides a service risk early warning device based on problem transformer area analysis, which comprises a detection device, a drone and a total monitoring end. The detection device is arranged on a power line device in a power system. A roller device is arranged on the detection device. The roller device drives the detection device to slide on the power line device along the direction of the power line through at least two rollers. The at least two rollers are arranged on the left and right sides of the power line device respectively. A current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe and a first positioning device are arranged in the detection device. The detection device is connected with the drone. A camera device and a second positioning device are arranged on the drone. The detection device and the drone are in wireless communication with the total monitoring end.

[0036] The detection device is configured to detect a first target power line position exceeding a preset power range in the power line device through the current detector, the voltage detector and the electromagnetic meter, detect a corresponding abnormal power value at the first target power line position, and determine a first power line region corresponding to the first target power line position as a power abnormal region;

[0037] The detection device is configured to determine power abnormal region positioning information corresponding to the power abnormal region through the first positioning device, send the power abnormal region positioning information to the unmanned aerial vehicle through wireless communication, and send the power abnormal region positioning information and the abnormal power value to the total monitoring end through wireless communication.

[0038] The detection device is further configured to detect a second target power line position higher than a preset temperature value in the power line device through the temperature sensor and the infrared probe, detect an abnormal temperature value corresponding to the second target power line position, and determine a second power line region corresponding to the second target power line position as a high-temperature abnormal region.

[0039] The detection device is further configured to determine temperature abnormal region positioning information corresponding to the high-temperature abnormal region through the first positioning device, send the temperature abnormal region positioning information to the unmanned aerial vehicle through wireless communication, and send the temperature abnormal region positioning information and the abnormal temperature value to the total monitoring end through wireless communication.

[0040] The unmanned aerial vehicle is configured to acquire the power abnormal region positioning information and the temperature abnormal region positioning information sent by the detection device, and control the camera device to acquire a power abnormal region image corresponding to the power abnormal region according to the power abnormal region positioning information and a high-temperature abnormal region image corresponding to the high-temperature abnormal region according to the temperature abnormal region positioning information.

[0041] The unmanned aerial vehicle is further configured to send the power abnormal region image and the high-temperature abnormal region image to the total monitoring end through wireless communication.

[0042] The total monitoring end is configured to perform problem transformer area analysis in the power system based on the power abnormal region image, the high-temperature abnormal region image, the power abnormal region positioning information, the abnormal power value, the temperature abnormal region positioning information and the abnormal temperature value, obtain a problem transformer area analysis result, and perform service risk early warning according to the problem transformer area analysis result.

[0043] In a third aspect, the present application further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor implements the method of the first aspect when executing the computer program.

[0044] In a fourth aspect, the present application further provides a computer readable storage medium, which stores computer executable instructions, and when the computer executable instructions are called and executed by a processor, the computer executable instructions cause the processor to execute the method of the first aspect.

[0045] The present application has the following beneficial effects:

[0046] The service risk early warning method and device based on problem area analysis provided by the present application, a detection device is arranged on a wire device in a power system, a roller device is arranged on the detection device, the roller device drives the detection device to slide on the wire device and along the direction of the wire device through at least two rollers, the at least two rollers are arranged on the left and right sides of the wire device respectively, and a current detector, a voltage detector, an electromagnetic meter, a temperature sensor, an infrared probe and a first positioning device are arranged in the detection device. In the method, the detection device detects a first target wire position exceeding a preset power range in the wire device 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 a power abnormal area. The detection device determines power abnormal area positioning information corresponding to the power abnormal area through the first positioning device. The detection device detects a second target wire position higher than a preset temperature value in the wire device through 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. The detection device determines temperature abnormal area positioning information corresponding to the high-temperature abnormal area through the first positioning device, and performs problem area analysis on the power system based on the power abnormal area positioning information, the abnormal power value, the abnormal temperature value and the high-temperature abnormal area to obtain a problem area analysis result. In the present application, the service risk early warning method based on problem area analysis and the matching equipment thereof can accurately identify the problem area in the power system, thereby improving the accuracy of the analysis result of the problem area in the power system, and solving the technical problem of low accuracy of the analysis result of the problem area in the power system.

[0047] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the specific embodiments or the prior art of the present application, the drawings needed to be used in the description of the specific embodiments or the prior art will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0049] Figure 1 A flowchart of a service risk early warning method based on problem area analysis provided by an embodiment of the present application is shown.

[0050] Figure 2 Another flowchart of a service risk early warning method based on problem area analysis provided by an embodiment of the present application is shown.

[0051] Figure 3 A structural diagram of a service risk early warning device based on problem area analysis provided by an embodiment of the present application is shown.

[0052] Figure 4 A structural diagram of an electronic device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0053] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be described in detail below with reference to the drawings. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0054] The terms "comprise" and "have" and any variations thereof mentioned in the embodiments of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or units is not limited to the listed steps or units, but optionally further includes other steps or units not listed, or optionally further includes other steps or units inherent to the process, method, product or device.

[0055] At present, the accuracy of the analysis result of the problem area in the power system is low. Based on this, the embodiments of the present application provide a service risk early warning method and device based on problem area analysis, which can solve the technical problem of low accuracy of the analysis result of the problem area in the power system.

[0056] The embodiments of the present application will be further described below with reference to the drawings.

[0057] Figure 1A flowchart of a service risk early warning method based on problem transformer area analysis is provided for the embodiments of the present application. A detection device is arranged on a power line device in a power system, a roller device is arranged on the detection device, the roller device drives the detection device to slide on the power line device and in the direction of the power line through at least two rollers, the at least two rollers are arranged on the left and right sides of the power line device respectively, 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 with a drone, the drone is provided with a camera device and a second positioning device, and the detection device and the drone are in wireless communication with a total monitoring end. As shown in Figure 1 The method comprises the following steps:

[0058] In step S110, the detection device detects a first target power line position exceeding a preset power range in the power line device through the current detector, the voltage detector and the electromagnetic meter, detects an abnormal power value corresponding to the first target power line position, and determines a first power line area corresponding to the first target power line position as a power abnormal area.

[0059] In actual application, a detection device is arranged on a power line device in a power system, a roller device is arranged on the detection device, the detection device can slide on the power line device and in the direction of the power line 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 with a drone, and the drone is provided with a camera device and a second positioning device.

[0060] The current detector, the voltage detector and the electromagnetic meter detect a first target power line position exceeding a preset power range on the power line device, and determine a power line area corresponding to the first target power line position as a power abnormal area.

[0061] For the current detection process, for example, the current detector is used to monitor the current intensity in the power line. When the current exceeds the preset safety range, it may be caused by overload, short circuit or other electrical faults. The current detector can respond quickly and trigger an alarm.

[0062] For the voltage detection process, for example, the voltage detector is responsible for monitoring the voltage level at both ends of the power line. Abnormal voltage changes, whether too high or too low, may indicate problems in the circuit. For example, low voltage may mean that the load is too large or the power supply is insufficient; high voltage may indicate a dangerous overvoltage condition.

[0063] As an optional implementation, an electromagnetic meter can be used to measure the electromagnetic field strength around the power line. The current in the power line will generate 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 can be indirectly determined whether the current in the power line is normal.

[0064] For abnormal power value detection, for example, when any of the above detectors detects an anomaly, the system records the specific values of the current, voltage, or electromagnetic field on the power line at that time, i.e., the abnormal power value.

[0065] In an optional implementation, the system can accurately locate the specific power line segment, i.e., the "first target power line position", by combining the data of the current detector, voltage detector, and electromagnetic meter. This position is marked as the power abnormal area.

[0066] For determining the abnormal area, for example, the system defines the area covered by the "first target power line position" as the "first power line area" and marks it as a power abnormal area that needs special attention. For reporting and response, for example, the detection device sends the abnormal power value and the location information of the abnormal area to the UAV and the general monitoring end through wireless communication, so as to facilitate further investigation and processing.

[0067] Step S120, the detection device 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 UAV through wireless communication, and sends the power abnormal area positioning information and the abnormal power value to the general monitoring end through wireless communication.

[0068] As a possible implementation, the power abnormal area positioning information of the power abnormal area is determined by the first positioning device.

[0069] Among them, for power abnormality detection, the detection device collects power data through built-in sensors or externally connected sensors, and then uses a preset threshold or other methods to determine which areas have abnormal power.

[0070] For the first positioning device, once the power abnormality is detected, the detection device will use the first positioning device to accurately locate the position of these abnormal areas. The positioning technology can include but is not limited to GPS positioning, Wi-Fi positioning, Bluetooth beacon positioning, or specific RFID technology, etc.

[0071] During the wireless communication process with the drone, after determining the specific location of the area with abnormal battery power, the detection device will transmit this location information to the drone via wireless communication technologies (such as Wi-Fi, Bluetooth, LoRa, NB-IoT, etc.). Upon receiving this information, the drone can proceed to the designated location to perform further operations, such as taking photos or videos for subsequent analysis.

[0072] During the process of transmitting information to the central monitoring station via wireless communication, the detection equipment can also transmit the location information of areas with abnormal power levels and the abnormal power values ​​to the central monitoring station via wireless communication. The central monitoring station can be a central server or a cloud platform, responsible for receiving information from multiple detection devices and summarizing, analyzing, and processing it.

[0073] For data analysis and response, all received data is stored and analyzed at the central monitoring station so that staff can understand the power grid status in a timely manner, identify potential problems, and take necessary measures to solve them, such as dispatching technicians to the site for inspection or repair.

[0074] In step S130, the detection device uses a temperature sensor and an infrared probe to detect the location of the second target wire in the wire device that is higher than the preset temperature value, detects the abnormal temperature value corresponding to the location of the second target wire, and determines the area of ​​the second wire corresponding to the location of the second target wire as a high temperature abnormal area.

[0075] In this embodiment, a temperature sensor and an infrared probe are used to detect the location of a second target wire on the wire device that is higher than a preset temperature value, and the wire area corresponding to the location of the second target wire is determined as a high-temperature abnormal area.

[0076] In step S140, the detection device determines the location information of the temperature abnormal area corresponding to the high temperature abnormal area through the first positioning device, sends the temperature abnormal area location information to the drone through wireless communication, and sends the temperature abnormal area location information and abnormal temperature value to the central monitoring terminal through wireless communication.

[0077] In one possible implementation, the high temperature anomaly area location information is determined by a second positioning device.

[0078] For the first positioning device, the key equipment for accurately positioning the high-temperature abnormal area. It can be realized by various technical means, such as GPS, RFID tag, ultrasonic positioning, etc. For wireless communication, the system uses wireless communication technology to transmit the positioning information of the high-temperature abnormal area and the abnormal temperature value to the unmanned aerial vehicle and the total monitoring end. For the unmanned aerial vehicle, after receiving the positioning information, the unmanned aerial vehicle can automatically navigate to the specified location to perform further inspection tasks, such as taking high-definition photos, videos or using other sensors to obtain more information. For the total monitoring end, it is the control center of the entire system, responsible for receiving all data, analyzing and processing, and making decisions.

[0079] Step S150, the unmanned aerial vehicle obtains the power abnormal area positioning information and the temperature abnormal area positioning information sent by the detection device, and controls the camera device to obtain the power abnormal area image corresponding to the power abnormal area according to the power abnormal area positioning information and to obtain the high-temperature abnormal area image corresponding to the high-temperature abnormal area according to the temperature abnormal area positioning information.

[0080] The unmanned aerial vehicle obtains the power abnormal area positioning information and the high-temperature abnormal area positioning information sent by the detection device; the camera device obtains the power abnormal area image corresponding to the power abnormal area according to the power abnormal area positioning information; and the camera device obtains the high-temperature abnormal area image corresponding to the high-temperature abnormal area according to the high-temperature abnormal area positioning information.

[0081] Step S160, the unmanned aerial vehicle sends the power abnormal area image and the high-temperature abnormal area image to the total monitoring end through wireless communication.

[0082] As an optional implementation, the unmanned aerial vehicle sends the power abnormal area image and the high-temperature abnormal area image to the total monitoring end through wireless communication, so that the total monitoring end performs risk assessment using a risk assessment model.

[0083] Step S170, the total monitoring end performs problem area analysis in the power system based on the power abnormal area image, the high-temperature abnormal area image, the power abnormal area positioning information, the abnormal power value, the temperature abnormal area positioning information and the abnormal temperature value, obtains a problem area analysis result, and performs service risk early warning according to the problem area analysis result.

[0084] The step specifically can include the following process: the total monitoring end identifies the abnormal situation of the electrical parameter in the power system by comparing the historical data with the real-time data based on the electric quantity abnormal area image, the high temperature abnormal area image, the electric quantity abnormal area positioning information, the abnormal electric quantity value, the temperature abnormal area positioning information and the abnormal temperature value, and analyzes the problem transformer area in the power system based on the abnormal situation to obtain the problem transformer area analysis result; wherein, the identification process of the abnormal situation is to measure the degree of the data point deviating from the mean value by using the standard score Z-Score, and the identification formula of the abnormal situation is:

[0085] ; wherein, is a single data point, is a sample mean, is a sample standard deviation; when , the data point is considered as abnormal, wherein k is a preset value.

[0086] In an optional embodiment, the abnormal situation of the electrical parameter includes at least one or more of the following: current overload phenomenon, voltage fluctuation abnormal situation, and power abnormal situation.

[0087] For the problem transformer area identification process, for example, the electrical parameters such as voltage, current, power factor, etc. in the transformer area are collected in real time by using intelligent sensors, remote terminal units (RTUs) and other devices; by comparing the historical data with the real-time data, the abnormal changes in the electrical parameters are identified, such as voltage fluctuation, current overload and other phenomena; combined with the geographic information system (GIS), the abnormal data is mapped to a specific geographic location to facilitate quick positioning of the problem transformer area. The abnormal detection process can identify outliers by statistical methods. Z-Score (standard score) can be used to measure the degree of the data point deviating from the mean value.

[0088] In the embodiments of the present application, by using the service risk early warning method based on problem transformer area analysis and the supporting equipment, the problem transformer area in the power system can be accurately identified, and the accuracy of the analysis result of the problem transformer area in the power system is improved, the technical problem of low accuracy of the analysis result of the problem transformer area in the power system is solved, and the instant warning and proper handling of the potential risk in the power system can be effectively realized. This not only significantly enhances the overall stability and power supply reliability of the power grid, but also greatly reduces the maintenance cost and economic loss caused by accidents.

[0089] The above steps will be described in detail below.

[0090] In some embodiments, a fixed connection device is arranged on the unmanned aerial vehicle; as shown in Figure 2 The method can further include the following steps:

[0091] Step S210, in response to the actual power of the unmanned aerial vehicle being lower than the preset minimum power threshold, the unmanned aerial vehicle is fixedly connected to the detection device through the flight control fixed connection device;

[0092] Step S220, when the roller device arranged on the detection device slides on the power line device and along the power line direction, the detection device drives the unmanned aerial vehicle to move through the fixed connection device;

[0093] Step S230, in response to the detection device driving the unmanned aerial vehicle to move, the unmanned aerial vehicle controls the power equipment to stop running.

[0094] The unmanned aerial vehicle is provided with a fixed connection device. When the power of the unmanned aerial vehicle is lower than the preset power, the unmanned aerial vehicle is fixedly connected to the detection device through the flight control fixed connection device. When the roller device arranged on the detection device slides on the power line device and along the power line direction, the detection device drives the unmanned aerial vehicle to move through the fixed connection device, thereby saving the power consumption of the flight movement of the unmanned aerial vehicle and reducing the identification cost of the problem area in the power system.

[0095] In some embodiments, the unmanned aerial vehicle is provided with a soft ladder device. The method can further include the following steps: the general monitoring end sends the detection device and the unmanned aerial vehicle the inspection area positioning information corresponding to the third target power line position in response to the checking operation on the third target power line position on the power line device; the detection device generates the roller position fixing instruction for the third target power line position according to the received inspection area positioning information, and controls the roller device to be fixed at the third target power line position according to the roller position fixing instruction; the unmanned aerial vehicle generates the unmanned aerial vehicle position fixing instruction and the soft ladder opening instruction according to the received inspection area positioning information, controls the fixed connection device to be fixed at the detection device according to the unmanned aerial vehicle 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 drops to the ground due to its own gravity.

[0096] The unmanned aerial vehicle is provided with a soft ladder device. The detection device controls the roller device arranged on the detection device to be fixed at the third target power line position on the power line device according to the received first fixing instruction. The unmanned aerial vehicle controls itself to be fixed at the detection device according to the received second fixing instruction. The unmanned aerial vehicle 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 drops to the ground due to gravity, thereby facilitating the maintenance personnel to go to the inspection area through the soft ladder device for accurate inspection and maintenance treatment.

[0097] In some embodiments, the step S170 can specifically include the following steps: based on the electric quantity abnormal area image, the high temperature abnormal area image, the electric quantity abnormal area positioning information, the abnormal electric quantity value, the temperature abnormal area positioning information and the abnormal temperature value, the general monitoring end analyzes the problem transformer area in the power system through a big data analysis method to obtain an abnormal problem cause analysis result of the problem transformer area.

[0098] The big data analysis method is to predict the probability of failure by using a logistic regression model, wherein the objective function of the logistic regression model is:

[0099] ; wherein, is a weight vector, is an input feature vector, is the true label of the sample.

[0100] For data analysis, the collected data is deeply mined to find out the root cause of the problem by means of big data analysis technology. In the big data analysis process, a classification or regression algorithm in machine learning is used. In the classification task, a logistic regression model can be used to predict the probability of failure of a device, thereby improving the efficiency of failure prediction and the accuracy of failure prediction results.

[0101] Figure 3 A structural schematic diagram of a service risk early warning device based on problem transformer area analysis is provided. As shown in Figure 3 The service risk early warning device based on problem transformer area analysis 300 includes a detection device 301, a drone 302 and a general monitoring end 303. The detection device is arranged on a power line device 304 in a power system. The detection device is provided with a roller device. The roller device drives the detection device to slide on the power line device and along the power line direction through at least two rollers. The at least two rollers are arranged on the left and right sides of the power line 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 with the drone. The drone is provided with a camera device and a second positioning device. The detection device and the drone are in wireless communication with the general monitoring end.

[0102] The detection device is used to detect a first target power line position exceeding a preset electric quantity range in the power line device by the current detector, the voltage detector and the electromagnetic meter, detect an abnormal electric quantity value corresponding to the first target power line position, and determine a first power line area corresponding to the first target power line position as an electric quantity abnormal area.

[0103] The detection device is configured to determine, by the first positioning device, power abnormal area positioning information corresponding to the power abnormal area, send the power abnormal area positioning information to the unmanned aerial vehicle through wireless communication, and send the power abnormal area positioning information and the abnormal power value to the total monitoring end through wireless communication.

[0104] The detection device is further configured to detect, by the temperature sensor and the infrared probe, a second target power line position in the power line device that is higher than a preset temperature value, determine a second power line region corresponding to the second target power line position as a high-temperature abnormal area according to an abnormal temperature value at the second target power line position, and determine, by the first positioning device, temperature abnormal area positioning information corresponding to the high-temperature abnormal area.

[0105] The detection device is further configured to determine, by the first positioning device, temperature abnormal area positioning information corresponding to the high-temperature abnormal area, send the temperature abnormal area positioning information to the unmanned aerial vehicle through wireless communication, and send the temperature abnormal area positioning information and the abnormal temperature value to the total monitoring end through wireless communication.

[0106] The unmanned aerial vehicle is configured to acquire the power abnormal area positioning information and the temperature abnormal area positioning information sent by the detection device, and control the camera device to acquire a power abnormal area image corresponding to the power abnormal area according to the power abnormal area positioning information and acquire a high-temperature abnormal area image corresponding to the high-temperature abnormal area according to the temperature abnormal area positioning information.

[0107] The unmanned aerial vehicle is further configured to send the power abnormal area image and the high-temperature abnormal area image to the total monitoring end through wireless communication. The total monitoring end is configured to analyze a problem transformer area in the power system based on the power abnormal area image, the high-temperature abnormal area image, the power abnormal area positioning information, the abnormal power value, the temperature abnormal area positioning information, and the abnormal temperature value, obtain a problem transformer area analysis result, and perform service risk early warning according to the problem transformer area analysis result.

[0108] The service risk early warning device based on problem transformer area analysis provided by the embodiments of the present application has the same technical features as the service risk early warning method based on problem transformer area analysis provided by the above embodiments, and can solve the same technical problems and achieve the same technical effects.

[0109] The electronic device provided by the embodiments of the present application, as shown in Figure 4 The electronic device 400 includes a processor 402 and a memory 401. The memory stores a computer program executable on the processor. The processor executes the computer program to implement the steps of the method provided by the above embodiments.

[0110] Referring to Figure 4 The electronic device further includes a bus 403 and a communication interface 404, the processor 402, the communication interface 404 and the memory 401 are connected through the bus 403; the processor 402 is used to execute the executable modules stored in the memory 401, such as computer programs.

[0111] The memory 401 can contain a high-speed random access memory (RAM) and can also include a non-volatile memory such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 404 (which can be wired or wireless), and the Internet, a wide area network, a local area network, a metropolitan area network, etc. can be used.

[0112] The bus 403 can be an ISA bus, a PCI bus or an EISA bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 4 In the figure, only one bidirectional arrow is used to represent, but it does not mean that there is only one bus or one type of bus.

[0113] The memory 401 is used to store programs, and the processor 402 executes the programs after receiving execution instructions. 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 realized by the processor 402.

[0114] The processor 402 can be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above method can be completed by the integrated logic circuit of hardware in the processor 402 or the instruction in the form of software. The processor 402 described above can be a general 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. Each method, step and logic block diagram disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software modules in the code processor for execution. The software module can be located in a random access memory, a flash memory, a read only memory, a programmable read only memory or an electrically erasable programmable memory, a register, etc. The storage medium in the art. The storage medium is located in the memory 401, and the processor 402 reads the information in the memory 401, and combines the hardware to complete the steps of the above method.

[0115] Corresponding to the service risk early warning method based on problem area analysis described above, the embodiment of the present application also provides a computer readable storage medium, the computer readable storage medium stores computer executable instructions, when the processor calls and runs the computer executable instructions, the computer executable instructions make the processor run the steps of the service risk early warning method based on problem area analysis described above.

[0116] The device based on problem area analysis for service risk early warning provided by the embodiment of the present application can be specific hardware on the equipment or software or firmware installed on the equipment. The device provided by the embodiment of the present application has the same implementation principle and generated technical effect as the foregoing method embodiments. For the sake of brevity, the part of the device embodiment not mentioned in the foregoing method embodiments can be referred to the corresponding content in the foregoing method embodiments. Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the system, device and unit described above can be referred to the corresponding process in the foregoing method embodiments, which will not be repeated here.

[0117] In the embodiments of the present application, it should be understood that the disclosed apparatus and method can be implemented in other manners. The embodiments described above are merely specific implementation manners of the present application, and for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation; for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between different units, or the among different units, can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electric, mechanical or other forms.

[0118] For another example, the flowcharts and block diagrams in the drawings show the possible implementation architectures, functions and operations of the apparatus, method and computer program product according to the embodiments of the present application. In this regard, each block in the flowcharts or block diagrams can represent a module, a program segment or a part of code, which contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different orders from that shown in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and sometimes they can be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and the combination of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0119] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place, or can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the present embodiment.

[0120] In addition, each functional unit in the embodiments of the present application can be integrated into one processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated into one unit.

[0121] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the service risk early warning method based on the problem transformer substation analysis described in various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program code storage media.

[0122] It should be noted that: similar labels and letters represent similar items in the following drawings, therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings, in addition, the terms "first", "second", "third" and the like are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0123] Finally, it should be noted that: the above-described embodiments are only specific embodiments of the present application, which are used to illustrate the technical solutions of the present application, but not to limit them, the protection scope of the present application is not limited thereto, although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art within the technical scope disclosed by the present application can still modify or easily think of changes to the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to some technical features thereof; and these modifications, changes or replacements do not make the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application. All should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A service risk early warning method based on problem area analysis, characterized in that, The detection equipment is arranged on the wire device in the power system, and a roller device is arranged on the detection equipment. The roller device drives the detection equipment to slide on the wire device and in the wire direction through at least two rollers. The at least two rollers are arranged on the left and right sides of the wire device respectively. The detection equipment 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 comprises the following steps: The detection equipment detects a first target wire position exceeding a preset power range in the wire device 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 a power abnormal area; The detection equipment determines power abnormal area positioning information corresponding to the power abnormal area through the first positioning device; The detection equipment detects a second target wire position higher than a preset temperature value in the wire device through 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 power abnormal area positioning information, the abnormal power value, the abnormal temperature value and the high-temperature abnormal area, a problem substation analysis of the power system is carried out to obtain a problem substation analysis result. In the identification process of the problem substation, the intelligent sensor and the RTU are used to collect the electrical parameters of voltage, current and power factor in the problem substation in real time. By comparing the historical data with the real-time data of the electrical parameters, the abnormal changes of voltage fluctuation and current overload in the electrical parameters are identified. Combined with the GIS system, the abnormal data is mapped to a specific geographic location to locate the problem substation; A soft ladder device is arranged on the unmanned aerial vehicle. The method further comprises the following steps: In response to a checking operation on a third target wire position on the wire device, the total monitoring end sends checking area positioning information corresponding to the third target wire position to the detection equipment and the unmanned aerial vehicle; The detection equipment generates a roller position fixing instruction for the third target wire position according to the received checking area positioning information, and controls the roller device arranged on the detection equipment to be fixed at the current detection equipment corresponding to the third target wire position according to the roller position fixing instruction; The unmanned aerial vehicle generates an unmanned aerial vehicle position fixing instruction and a soft ladder opening instruction according to the received checking area positioning information, controls the fixed connection device to be fixed at the detection equipment according to the unmanned aerial vehicle 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 drops to the ground by its own gravity.

2. The method of claim 1, wherein, The detection equipment is connected with an unmanned aerial vehicle. A camera device and a second positioning device are arranged on the unmanned aerial vehicle. The detection equipment and the unmanned aerial vehicle are in wireless communication with a total monitoring end. The problem area analysis result of the power system is obtained based on the power abnormal area positioning information, the abnormal power value, the abnormal temperature value and the high-temperature abnormal area, including: The detection device sends the power abnormal area positioning information to the unmanned aerial vehicle through wireless communication, and sends the power abnormal area positioning information and the abnormal power value to the total monitoring end through wireless communication; The detection device 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 unmanned aerial vehicle through wireless communication, and sends the temperature abnormal area positioning information and the abnormal temperature value to the total monitoring end through wireless communication; The unmanned aerial vehicle acquires the power abnormal area positioning information and the temperature abnormal area positioning information sent by the detection device, and controls the camera device to acquire the power abnormal area image corresponding to the power abnormal area according to the power abnormal area positioning information and to acquire the high-temperature abnormal area image corresponding to the high-temperature abnormal area according to the temperature abnormal area positioning information; The unmanned aerial vehicle sends the power abnormal area image and the high-temperature abnormal area image to the total monitoring end through wireless communication; The total monitoring end performs problem area analysis of the power system based on the power abnormal area image, the high-temperature abnormal area image, the power abnormal area positioning information, the abnormal power value, the temperature abnormal area positioning information and the abnormal temperature value, obtains a problem area analysis result, and performs service risk early warning according to the problem area analysis result.

3. The method of claim 2, wherein, The unmanned aerial vehicle is provided with a fixed connection device; the method further comprises: In response to the actual power of the unmanned aerial vehicle being lower than the preset minimum power threshold, the unmanned aerial vehicle controls the fixed connection device to be fixedly connected to the detection device through flight control; When the roller device provided on the detection device slides on the wire device and along the wire direction, the detection device drives the unmanned aerial vehicle to move through the fixed connection device; In response to the detection device driving the unmanned aerial vehicle to move, the unmanned aerial vehicle controls the self-power equipment to stop running.

4. The method of claim 2, wherein, The total monitoring end performs problem area analysis of the power system based on the power abnormal area image, the high-temperature abnormal area image, the power abnormal area positioning information, the abnormal power value, the temperature abnormal area positioning information and the abnormal temperature value, obtains a problem area analysis result, including: The total monitoring end compares historical data and real-time data to identify abnormal conditions of electrical parameters in the power system based on the power abnormal area image, the high-temperature abnormal area image, the power abnormal area positioning information, the abnormal power value, the temperature abnormal area positioning information and the abnormal temperature value, and performs problem area analysis of the power system based on the abnormal conditions, obtains a problem area analysis result; The abnormal situation recognition formula is: ; wherein, is a single data point, is a sample mean, is a sample standard deviation; when the data point is considered abnormal, wherein k is a preset value.

5. The method of claim 4, wherein, The abnormal situation of the electrical parameter includes at least one or more of the following: Current overload phenomenon, voltage fluctuation abnormal situation, and power abnormal situation.

6. The method of claim 2, wherein, The total monitoring end analyzes the problem transformer area in the power system based on the electric quantity abnormal area image, the high temperature abnormal area image, the electric quantity abnormal area positioning information, the abnormal electric quantity value, the temperature abnormal area positioning information, and the abnormal temperature value, to obtain a problem transformer area analysis result, including: The total monitoring end analyzes the problem transformer area in the power system based on the electric quantity abnormal area image, the high temperature abnormal area image, the electric quantity abnormal area positioning information, the abnormal electric quantity value, the temperature abnormal area positioning information, and the abnormal temperature value, to obtain a problem transformer area analysis result, including:

7. The method of claim 6, wherein, 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: ; where, is a weight vector, is an input feature vector, is a true label of a sample.

8. A service risk early warning device based on problem transformer analysis, characterized in that, The device includes a detection device, a drone, and a total monitoring end. The detection device is arranged on a power line device in a power system. The detection device is provided with a roller device. The roller device drives the detection device to slide on the power line device and in the direction of the power line through at least two rollers. The at least two rollers are arranged on the left and right sides of the power line 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 with the drone. The drone is provided with a camera device and a second positioning device. The detection device and the drone are in wireless communication with the total monitoring end. The service risk early warning device is used to execute the method of claim 2.

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