CN117647706B

CN117647706B - Intelligent power grid operation fault diagnosis system and method based on big data

Info

Publication number: CN117647706B
Application number: CN202410126512.6A
Authority: CN
Inventors: 李永朋; 郑少勇; 李勇学; 马文娥; 燕全安; 张训娇
Original assignee: Shandong Haoneng Power Construction Co ltd
Current assignee: Shandong Haoneng Power Construction Co ltd
Priority date: 2024-01-30
Filing date: 2024-01-30
Publication date: 2024-04-05
Anticipated expiration: 2044-01-30
Also published as: CN117647706A

Abstract

The invention relates to the technical field of electric network electric variable measurement, and discloses an intelligent electric network operation fault diagnosis system and method based on big data, wherein the system comprises an electric network electric variable abnormality sensing module, an electric network electric variable abnormal position on-site arrival control module and an electric network operation fault feature detection module; accurately planning the shortest path level from the inspection station to the abnormal electric variable acquisition point of the power grid by accurately acquiring the position coordinate data of the abnormal electric variable acquisition point in the power grid and combining an intelligent analysis algorithm, and controlling the inspection equipment to rapidly move to reach the position of the abnormal electric variable acquisition point, so that the accurate positioning and intelligent control operation of the fault position in the power grid fault diagnosis operation are realized, and the efficiency of the power grid fault diagnosis operation is improved; and monitoring and warning the process that the inspection equipment reaches an abnormal electric variable acquisition point, so that the reliability of power grid fault diagnosis operation is improved.

Description

Intelligent power grid operation fault diagnosis system and method based on big data

Technical Field

The invention relates to the technical field of power grid electrical variable measurement, in particular to an intelligent power grid operation fault diagnosis system and method based on big data.

Background

The power grid fault diagnosis is to identify a fault element by measuring and analyzing electrical quantities such as current, voltage and the like in a power grid after faults and switching value change information of protection and breaker actions. A good diagnosis strategy has important significance for shortening the fault time and preventing the expansion of accidents. When faults occur, a large amount of fault information collected by the monitoring system flows into the dispatching center, the diagnosis method based on the traditional mathematical model can not ensure the requirements of accuracy, rapidity and the like of diagnosis to a great extent, and compared with the diagnosis method based on the intelligent technology, the diagnosis method has obvious advantages. The intelligent method can simulate, extend and expand intelligent behaviors of human beings, make up for the defects of a mathematical model diagnosis method, and open up a new approach for the field of power grid fault diagnosis. Therefore, the development of the fault diagnosis method from the traditional technology to the intelligent technology is the key point and the hot spot of future research in the field; on the basis of research results of expert scholars at home and abroad on the field of power grid fault diagnosis, a plurality of intelligent methods for power grid fault diagnosis which are widely applied at present are reviewed, wherein the intelligent methods comprise expert systems, neural networks, fuzzy set theory, petri networks and the like, brief introduction is correspondingly given, characteristics and defects of the methods are analyzed, problems faced by the field of power grid fault diagnosis at present are summarized, and key problems which need to be solved in focus in future development and future development trend of the field are discussed; at present, the power grid fault diagnosis relies on electric variable sensors distributed at different power grid monitoring positions to measure electric variables in the power grid, the numerical analysis of the measured and collected electric variables is performed to find the abnormal power grid monitoring positions of the electric variables, and the power grid fault type diagnosis and confirmation process mainly relies on power maintenance personnel to perform confirmation and analysis, so that the efficiency is low, the accuracy of a power grid fault diagnosis result cannot be ensured, and meanwhile, the running stability of the power grid is seriously affected.

The invention patent application with the publication number of CN114878960A discloses a fault diagnosis method, a storage medium, an electric power acquisition terminal and a fault diagnosis system, which are characterized in that collected terminal fault information is locally matched with fault features in a local fault feature library of the terminal, if the local matching is successful, the terminal fault information is identified according to the fault features in the local fault feature library, the fault type of the electric power acquisition terminal is determined, if the local matching is failed, the terminal fault information is uploaded to a cloud, the terminal fault information is remotely matched through the fault features in a remote fault feature library configured in the cloud, and the fault type of the electric power acquisition terminal is determined according to the fault features in the remote fault feature library when the remote matching is successful, wherein the remote fault feature library comprises the fault features which are not included in the local fault feature library, the fault diagnosis is performed in a cloud-terminal cooperative mode, the data throughput is reduced, and network paralysis is avoided; in reality, the cloud storage library and cloud computing based on the mobile network can directly complete collection of power grid terminal fault information and power grid fault feature library to complete analysis and identification of power grid fault feature types, the local fault feature library is not required to be combined for power grid fault feature type analysis, processing time of power grid fault diagnosis is increased, operation efficiency of power grid fault diagnosis is reduced, meanwhile, power grid fault feature data collection and analysis relies on electric variable sensors distributed at different power grid monitoring positions for measurement and simple data feature analysis, and accuracy of power grid fault feature data collection and power grid fault diagnosis results cannot be guaranteed.

Disclosure of Invention

In order to solve the problems that the current power grid fault diagnosis relies on electric variable sensors distributed at different power grid monitoring positions to measure electric variables in a power grid, the numerical analysis of the measured and collected electric variables is used for searching for abnormal power grid monitoring positions, and the power grid fault type diagnosis and confirmation process mainly relies on electric maintenance personnel to carry out confirmation and analysis, so that the efficiency is low, the accuracy of a power grid fault diagnosis result cannot be ensured, the running stability of the power grid is seriously influenced, and the purposes of early warning of the power grid fault electric variables, accurate positioning of the power grid fault positions, real-time collection of power grid fault characteristics and analysis and confirmation of intelligent power grid fault types are achieved.

The invention is realized by the following technical scheme: an intelligent power grid operation fault diagnosis method based on big data, the method comprises the following steps:

s1, collecting current data of a power grid operation line and voltage data of the power grid operation line;

s2, comparing the current data of the power grid operation line and the voltage data of the power grid operation line with corresponding normal power grid operation current threshold values and voltage value values respectively, identifying and analyzing abnormal current and abnormal voltage in the power grid operation line, and generating output power grid operation abnormal electric variable result data;

S3, when abnormal current or/and abnormal voltage exists in the power grid operation abnormal electric variable result data, acquiring power grid abnormal electric variable acquisition point position coordinate data;

s4, analyzing and planning a shortest path from the inspection station to the abnormal electric variable acquisition point according to the position coordinate data of the abnormal electric variable acquisition point of the power grid and the position coordinate data of the power grid fault inspection station by adopting a data analysis algorithm and combining geographic three-dimensional model data from the inspection station to the abnormal electric variable acquisition point, and executing the inspection moving operation of going to the abnormal electric variable acquisition point by the inspection equipment of the inspection station according to the shortest path from the inspection station to the abnormal electric variable acquisition point;

s5, when the inspection equipment executes the inspection moving operation of the abnormal electric variable acquisition point, acquiring real-time position coordinate data of the inspection equipment, carrying out coordinate value matching on the real-time position coordinate data of the inspection equipment and the power grid abnormal electric variable acquisition point position coordinate data, and when the real-time position coordinate is completely matched with the value of the abnormal electric variable acquisition point position coordinate, outputting an abnormal electric variable acquisition point arrival instruction warning to prompt the inspection equipment to stop the moving operation;

S6, when the inspection equipment receives an abnormal electric variable acquisition point reaching a warning prompt instruction, acquiring characteristic image data of an operation inspection position of the power grid;

and S7, performing image feature matching on the power grid operation inspection position feature image data and the power grid operation fault type feature image data by adopting a data analysis algorithm, and analyzing and constructing power grid operation inspection position fault type diagnosis result data corresponding to the abnormal electric variable acquisition point.

Preferably, the operation steps of collecting the current data of the power grid operation line and the voltage data of the power grid operation line are as follows:

s11, measuring the current of a specific acquisition point in the power grid line in real time on line through a current measuring sensor in the power grid running line and generating power grid running line current data；

Real-time online measurement of the voltage at the same position as a specific current acquisition point in the power grid line through a voltage measurement sensor in the power grid operation line and generation of power grid operation line voltage data。

Preferably, the steps of comparing the current data of the power grid operation line and the voltage data of the power grid operation line with the corresponding normal threshold value of the power grid operation current and the corresponding normal threshold value of the power grid operation voltage respectively, identifying and analyzing the abnormal current and the abnormal voltage in the power grid operation line and generating output data of abnormal electric variables of the power grid operation are as follows:

S21, respectively establishing normal thresholds of running currents of power gridsNormal threshold of grid operating voltageWherein->Indicating the safety peak current of the normal running line of the power grid, +.>Representing the safe valley current of the normal operation line of the power grid; />Representing the safety peak voltage of the normal operation line of the power grid, +.>The safe low-valley voltage of the normal operation line of the power grid is represented;

s22, the current data of the power grid operation lineThe grid line voltage data ∈>Respectively with the normal threshold value of the power grid running current>Grid operating voltage normal threshold->Performing numerical comparison and analyzing result data of abnormal electric variables of power grid operation;

when (when)∈/>And->∈/>Outputting the result data of the abnormal electric variable of the power grid operation as that no abnormal current and no abnormal voltage exist;

when (when)∉/>Or/and->∉/>Then inputAnd outputting abnormal electric variable result data of the power grid operation to be abnormal current or/and abnormal voltage.

Preferably, when abnormal current or/and abnormal voltage exists in the result data of the abnormal electric variable of the power grid operation, the operation steps of collecting the coordinate data of the position of the abnormal electric variable collection point of the power grid are as follows:

s31, when abnormal electric variable result data of the power grid operation is abnormal current or/and abnormal voltage, collecting space coordinates of specific collecting points of current data and voltage data in a power grid line through a position sensor and generating power grid abnormal electric variable collecting point position coordinate data Wherein->Represents the abscissa of specific current and voltage acquisition points in a space rectangular coordinate system established by taking sea level as a coordinate system base plane, and is->Represents the ordinate of a specific current and voltage acquisition point in a space rectangular coordinate system established by taking a sea level as a coordinate system base plane, and is +.>The vertical coordinates of specific current and voltage acquisition points in a space rectangular coordinate system established by taking the sea level as a coordinate system base plane are shown.

Preferably, the data analysis algorithm performs analysis planning on the shortest path from the inspection station to the abnormal electric variable collection point according to the position coordinate data of the abnormal electric variable collection point of the power grid and the position coordinate data of the power grid fault inspection station and by combining the geographic three-dimensional model data from the inspection station to the abnormal electric variable collection point, and the inspection equipment of the inspection station performs the operation steps of going to the inspection moving operation of the abnormal electric variable collection point according to the shortest path from the inspection station to the abnormal electric variable collection point, wherein the operation steps are as follows:

s41, establishing position coordinate data of power grid fault inspection stationsWherein->Represents the abscissa of the power grid fault inspection station in a space rectangular coordinate system established by taking the sea level as the base plane of the coordinate system, and the +.>Representing the ordinate of a power grid fault inspection station in a space rectangular coordinate system established by taking sea level as a coordinate system base plane, wherein +. >The vertical coordinates of the power grid fault inspection station in a space rectangular coordinate system established by taking the sea level as a coordinate system base plane are represented;

s42, adopting a data analysis algorithm to acquire point position coordinate data according to the abnormal electric variable of the power gridPosition coordinate data of inspection station with power grid fault +.>And combining the geographic three-dimensional model data from the inspection station to the abnormal electric variable acquisition point to analyze and plan the shortest path from the inspection station to the abnormal electric variable acquisition point>The data analysis algorithm analyzes and plans the specific operation steps of the shortest path as follows:

s421, initializing, namely updating the maximum iteration number T of an algorithm and randomly initializing a path in an optimizing space to search the position of the hawk population, wherein the position initializing formula is as followsWherein->Representation of Path search osprey->At->The position of the dimensional space, i.e. the path search osprey->Position in geographical three-dimensional model search space from inspection station to abnormal electrical variable acquisition point, < >>To optimize the lower boundary, namely the lower boundary in the geographic three-dimensional model search space from the inspection station to the abnormal electric variable acquisition point>To optimize the upper boundary, i.e. the upper boundary in the search space of the geographic three-dimensional model from the inspection station to the point of acquisition of the abnormal electrical variable >Is [0,1]Random numbers in between;

s422, in the exploration stage, the path searching hawk detects the position of underwater fish, after the position of the fish is determined, the hawk attacks the fish and predates underwater, the exploration stage of the path searching hawk population update in the algorithm is based on modeling of natural behavior of the path searching hawk, and the modeling of the path searching hawk attacks the fish can cause the position of the path searching hawk in a search space to change obviously; for each path search hawk, the locations of other path search hawks in the search space with better objective function values are considered underwater fish; the path searching hawk randomly detects the position of one fish and attacks the fish, namely randomly searching coordinate data of the position of the abnormal electric variable acquisition point from the power grid in a geographic three-dimensional model searching space from the inspection station to the abnormal electric variable acquisition pointPosition coordinate data of inspection station for power grid fault>And measuring the path length, and updating the new position of the corresponding path searching hawk on the basis of simulating the movement of the path searching hawk to the fish, wherein the path searching hawk position updating formula is +.>Wherein->Representation of Path search osprey- >After update at->The position of the dimensional space, i.e. the path search osprey->After updating, the position in the geographic three-dimensional model search space from the inspection station to the abnormal electric variable acquisition point is located; />In order to search the space from the power grid abnormal electric variable acquisition point position coordinate data in the geographic three-dimensional model from the inspection station to the abnormal electric variable acquisition point>Position coordinate data of inspection station for power grid fault>Searching shortest paths selected by the hawk by paths; />A constant which is a value of 1 or 2; if the updated new position is better, namely the position is searched out in the geographical three-dimensional model search space from the inspection station to the abnormal electric variable acquisition point>To position->The shorter path, the initial position before updating of the littoral is searched by replacing the path according to the searching stage position replacement formula, wherein the searching stage position replacement formula is +.>Wherein->Representation of the exploration phase Path search osprey->At->Optimal position of dimensional space, namely optimal position in the search space of geographic three-dimensional model from inspection station to abnormal electric variable acquisition point, < ->Representation->Position fitness value in geographic three-dimensional model search space from inspection station to abnormal electrical variable acquisition point, +.>Representation->Position fitness values in a geographic three-dimensional model search space from a patrol station to an abnormal electrical variable acquisition point;

S423, in the development stage, after killing fish, the path searching hawk brings the fish to a proper position and is eaten, the algorithm path searching hawk population is updated, the development stage is based on modeling the simulation of the natural behavior of the path searching hawk, the modeling of the path searching hawk brought to the proper position causes small change of the position of the path searching hawk in a search space, the path searching hawk converges to a better proper position near the found proper position, and the path searching is simulatedThe natural behavior of the hawk is that firstly, for each individual in the hawk population is searched by a path, a new random position is calculated as a position suitable for edible fishes, namely, the position in a geographic three-dimensional model space from a patrol station to an abnormal electric variable acquisition point, which is searched by an exploration stageTo position->The path of the fish is optimized and selected, and the new formula for calculating the position suitable for eating the fish is as followsWherein->Representation of Path search osprey->After update at->New random position of vitamin space is used as a position suitable for edible fish, namely, path search hawk +.>After updating, taking a new random position in a geographical three-dimensional model search space from a patrol inspection site to an abnormal electric variable acquisition site as a position suitable for edible fish, < + > >Representing the iteration number of the current algorithm; if the value of the objective function is improved at the new position, the initial position before updating of the hawk is searched by replacing the path according to the position replacement formula in the development stage, namely the position +_ in the geographic three-dimensional model space from the inspection station to the abnormal electric variable acquisition point is identified>To position->And replacing the position in the geographical three-dimensional model space from the inspection station to the abnormal electrical variable acquisition point, which is selected before updating, by using a development stage position replacement formula>To position->Is a path of (2); the development stage position replacement formula is +.>Wherein->Representation of the development phase Path search osprey->At->Optimal position of dimensional space, namely optimal position in the search space of geographic three-dimensional model from inspection station to abnormal electric variable acquisition point, < ->Representation->Position fitness value in geographic three-dimensional model search space from inspection station to abnormal electrical variable acquisition point, +.>Representation->Position fitness values in a geographic three-dimensional model search space from a patrol station to an abnormal electrical variable acquisition point;

s424, outputting the shortest path from the inspection station to the abnormal electric variable acquisition point after the algorithm meets the maximum iteration numberOtherwise, continuing to execute the steps S422 to S423 until the maximum iteration times are met;

S43, the inspection equipment of the inspection station is used for inspecting the shortest path from the station to the abnormal electric variable acquisition pointAnd executing the inspection moving operation from the inspection station to the abnormal electric variable acquisition point, wherein the inspection equipment adopts a multi-rotor unmanned aerial vehicle to carry power grid detection equipment.

Preferably, when the inspection device executes the inspection moving operation of the abnormal electric variable acquisition point, real-time position coordinate data of the inspection device is acquired, the real-time position coordinate data of the inspection device is matched with the coordinate data of the abnormal electric variable acquisition point of the power grid in terms of coordinate values, and when the real-time position coordinate is completely matched with the coordinate value of the abnormal electric variable acquisition point, the operation steps of outputting an abnormal electric variable acquisition point arrival instruction warning prompt to the inspection device to stop the moving operation are as follows:

s51, when the inspection equipment executes the inspection moving operation of going to the abnormal electric variable acquisition point, acquiring the space coordinates of the inspection equipment reaching the abnormal electric variable acquisition point from the inspection station in real time through the position sensor and generating real-time position coordinate data of the inspection equipmentWherein->Represents the abscissa of the inspection equipment in a space rectangular coordinate system established by taking the sea level as the base plane of the coordinate system,/- >Representing the ordinate of the inspection equipment in a space rectangular coordinate system established by taking the sea level as the base plane of the coordinate system>Represents a space rectangular coordinate system established by taking sea level as a coordinate system base planeVertical coordinates of the inspection equipment;

s52, carrying out real-time position coordinate data of the inspection equipmentMiddle->、/>、/>Position coordinate data of abnormal electric variable acquisition points of power grid respectively +.>Corresponding->、/>、/>Coordinate value matching is performed when ∈>=/>And->=/>And->=/>At the moment, when the inspection equipment reaches the position of the abnormal electric variable acquisition point, outputting an instruction warning prompt inspection equipment for the arrival of the abnormal electric variable acquisition pointStopping the moving operation; otherwise, outputting to continue to execute the patrol mobile operation to the abnormal electric variable acquisition point.

Preferably, when the inspection device receives the warning prompt instruction from the abnormal electric variable acquisition point, the operation steps of acquiring the characteristic image data of the power grid operation inspection position are as follows:

s61, when the inspection equipment receives an abnormal electric variable acquisition point reaching a warning prompt instruction, shooting and acquiring characteristic images of the abnormal electric variable position of the power grid through the inspection equipment carrying shooting equipment and generating a characteristic image data set of the power grid operation inspection position，/>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Indicate the% >Characteristic image data of the web running inspection position, < +.>And the maximum value of the characteristic image data quantity of the power grid running inspection position is represented.

Preferably, the step of performing image feature matching on the power grid operation inspection position feature image data and the power grid operation fault type feature image data by using a data analysis algorithm to analyze and construct power grid operation inspection position fault type diagnosis result data corresponding to an abnormal electrical variable acquisition point includes the following steps:

s71, establishing a power grid operation fault type characteristic image data set，/>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Indicate->Grid operation fault type characteristic image data corresponding to grid operation fault>Representing the maximum value of the power grid operation fault type data; the power grid operation fault type comprises one or more of short circuit faults, overload faults, open circuit faults, line aging and breakage, power equipment stopping operation and power equipment damage;

s72, adopting a data analysis algorithm in the step S42 to collect the characteristic image data of the power grid operation patrol positionCharacteristic image data of power grid operation inspection position>Characteristic image data set of power grid operation fault type>In grid operation fault type characteristic image data +. >Performing image feature matching, and analyzing and constructing power grid operation inspection position fault type diagnosis result data of an abnormal electric variable acquisition point;

when (when)And->If the matching is successful, the condition that the power grid operation fault exists at the position of the abnormal electric variable acquisition point is indicated, and the diagnosis result data of the fault type of the power grid operation inspection position is output as the detection of the +.>A power grid operation fault is generated;

when (when)And->If the failure is successful, the abnormal electric variable acquisition point position is not provided with a power grid operation fault, and the power grid operation inspection position fault type diagnosis result data is output as that the power grid operation fault is not detected.

The system for realizing the intelligent power grid operation fault diagnosis method based on the big data comprises a power grid electric variable abnormality sensing module, a power grid electric variable abnormal position on-site arrival control module and a power grid operation fault feature detection module;

the power grid electrical variable abnormality sensing module comprises a power grid operation current acquisition unit, a power grid operation abnormal current identification unit, a power grid operation voltage acquisition unit, a power grid operation abnormal voltage identification unit and a power grid operation abnormal result output unit;

the power grid operation current acquisition unit acquires power grid operation line current data through a current measurement sensor; the power grid operation abnormal current identification unit is used for comparing the power grid operation line current data with a corresponding power grid operation current normal threshold value in a current value mode, identifying and analyzing abnormal current in a power grid operation line and generating output power grid operation abnormal electric variable result data; the power grid operation voltage acquisition unit acquires power grid operation line voltage data through a voltage measurement sensor; the power grid operation abnormal voltage identification unit is used for respectively comparing the power grid operation line voltage data with a corresponding power grid operation voltage normal threshold value in a voltage numerical value mode, identifying and analyzing abnormal voltage in the power grid operation line and generating output power grid operation abnormal electric variable result data; the power grid operation abnormal result output unit is used for outputting power grid operation abnormal electric variable result data;

The power grid electric variable abnormal position on-site arrival control module comprises a power grid abnormal electric variable position coordinate acquisition unit, a power grid fault inspection station position coordinate storage unit, a power grid inspection station to electric variable abnormal position path planning and executing unit, a power grid running inspection on-way real-time position coordinate acquisition unit and a power grid running inspection electric variable abnormal position arrival identification warning unit;

the power grid abnormal electric variable position coordinate acquisition unit acquires power grid abnormal electric variable acquisition point position coordinate data through a position sensor when abnormal current or/and abnormal voltage exists in power grid operation abnormal electric variable result data; the power grid fault inspection station position coordinate storage unit is used for storing power grid fault inspection station position coordinate data; the power grid inspection station to electrical variable abnormal position path planning and executing unit adopts a data analysis algorithm to analyze and plan a shortest path from an inspection station to an abnormal electrical variable acquisition point according to the power grid abnormal electrical variable acquisition point position coordinate data and the power grid fault inspection station position coordinate data and by combining geographic three-dimensional model data from the inspection station to the abnormal electrical variable acquisition point, and the inspection equipment of the inspection station executes inspection moving operation to the abnormal electrical variable acquisition point according to the shortest path from the inspection station to the abnormal electrical variable acquisition point; the real-time position coordinate acquisition unit is used for acquiring real-time position coordinate data of the inspection equipment through the position sensor when the inspection equipment executes the inspection moving operation of the inspection to the abnormal electric variable acquisition point; the power grid operation inspection electric variable abnormal position arrival identification warning unit is used for carrying out coordinate value matching on real-time position coordinate data of the inspection equipment and abnormal electric variable acquisition point position coordinate data of the power grid, and when the real-time position coordinate is completely matched with the numerical value of the abnormal electric variable acquisition point position coordinate, an abnormal electric variable acquisition point arrival instruction warning prompt of stopping moving operation of the inspection equipment is output;

The power grid operation fault feature detection module comprises a power grid operation inspection position feature image acquisition unit, a power grid operation fault type feature image storage unit and a power grid operation inspection position fault type analysis and identification unit;

the power grid operation inspection position feature image acquisition unit acquires power grid operation inspection position feature image data through the shooting equipment when the inspection equipment receives an abnormal electric variable acquisition point reaching a warning prompt instruction; the power grid operation fault type characteristic image storage unit is used for storing power grid operation fault type characteristic image data; and the power grid operation inspection position fault type analysis and identification unit is used for carrying out image feature matching on the power grid operation inspection position feature image data and the power grid operation fault type feature image data by adopting a data analysis algorithm, and analyzing and constructing power grid operation inspection position fault type diagnosis result data corresponding to the abnormal electric variable acquisition point.

The invention provides a smart power grid operation fault diagnosis system and method based on big data. The beneficial effects are as follows:

1. the electric variable parameters of current and voltage in the electric network are measured in real time through the mutual cooperation of the electric network operation current acquisition unit and the electric network operation voltage acquisition unit, reliable data support is provided for electric network operation fault diagnosis analysis, the effect of intelligent electric network fault diagnosis is improved, the electric network operation abnormal current identification unit and the electric network operation abnormal voltage identification unit are mutually matched for scientifically analyzing the electric network current and voltage parameters and safe current and voltage thresholds for accurate numerical analysis, accurate and efficient identification of abnormal electric variables of current and voltage in the electric network is achieved, and response speed and identification accuracy of intelligent electric network fault diagnosis are improved.

2. The position coordinate data of an abnormal electric variable acquisition point in the power grid is accurately obtained through the mutual coordination of the power grid abnormal electric variable position coordinate acquisition unit and the power grid inspection station to electric variable abnormal position path planning and executing unit, the shortest path level from the inspection station to the power grid abnormal electric variable acquisition point is accurately planned by combining an intelligent analysis algorithm, the inspection equipment is controlled to rapidly move to reach the abnormal electric variable acquisition point position, the accurate positioning and intelligent control operation of the fault position in the power grid fault diagnosis operation are realized, and the efficiency of the power grid fault diagnosis operation is improved; the real-time position coordinate acquisition unit and the power grid operation inspection electric variable abnormal position arrival identification warning unit are matched with each other in the power grid operation inspection process to monitor and warn the process that the inspection equipment arrives at the abnormal electric variable acquisition point, so that the reliability of power grid fault diagnosis operation is improved.

3. The method comprises the steps that a characteristic image acquisition unit of a power grid running inspection position acquires high-definition characteristic image data of a power line and power equipment of an abnormal power variable acquisition point of a power grid through an inspection equipment carrying shooting equipment, so that autonomous and accurate acquisition of power grid state characteristic data of the abnormal power variable acquisition point of the power grid is realized; the power grid operation inspection position fault type analysis and identification unit utilizes the acquired power grid abnormal electric variable acquisition point characteristic image to carry out intelligent characteristic image analysis by combining an intelligent analysis algorithm with characteristic image data of preset different types of power faults to efficiently diagnose the fault type of the power grid, so that the intelligent and standardized power grid fault diagnosis is realized, and the stability and safety of the power grid operation are improved.

Drawings

FIG. 1 is a schematic diagram of a system for diagnosing operation faults of an intelligent power grid based on big data;

fig. 2 is a flowchart of a smart grid operation fault diagnosis method based on big data.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The embodiment of the intelligent power grid operation fault diagnosis system and method based on big data is as follows:

referring to fig. 1-2, a smart grid operation fault diagnosis method based on big data includes the following steps:

s2, comparing the current data and the voltage data of the power grid operation line with the corresponding normal threshold value of the power grid operation current and the corresponding normal threshold value of the power grid operation voltage respectively, identifying and analyzing abnormal current and abnormal voltage in the power grid operation line, and generating output power grid operation abnormal electric variable result data;

s4, analyzing and planning a shortest path from the inspection station to the abnormal electric variable acquisition point according to the position coordinate data of the abnormal electric variable acquisition point of the power grid and the position coordinate data of the power grid fault inspection station by adopting a data analysis algorithm and combining geographic three-dimensional model data from the inspection station to the abnormal electric variable acquisition point, and executing inspection moving operation to the abnormal electric variable acquisition point by the inspection equipment of the inspection station according to the shortest path from the inspection station to the abnormal electric variable acquisition point;

s5, when the inspection equipment executes the inspection moving operation of the abnormal electric variable acquisition point, acquiring real-time position coordinate data of the inspection equipment, carrying out coordinate value matching on the real-time position coordinate data of the inspection equipment and the abnormal electric variable acquisition point position coordinate data of the power grid, and when the real-time position coordinate is completely matched with the value of the abnormal electric variable acquisition point position coordinate, outputting an abnormal electric variable acquisition point arrival instruction warning to prompt the inspection equipment to stop the moving operation;

Further, referring to fig. 1-2, the operation steps of collecting the current data and the voltage data of the power grid operation line are as follows:

s11, running the line through the power gridThe current measuring sensor in the circuit measures the current of a specific acquisition point in the power grid line in real time on line and generates power grid operation line current data；

The method comprises the following steps of comparing the current data of the power grid operation line and the voltage data of the power grid operation line with the corresponding normal threshold value of the power grid operation current and the corresponding normal threshold value of the power grid operation voltage respectively, identifying and analyzing the abnormal current and the abnormal voltage in the power grid operation line and generating output power grid operation abnormal electric variable result data:

s22, running the power grid into electricityStreaming dataGrid line voltage data->Respectively with the normal threshold value of the power grid running current>Grid operating voltage normal threshold->Performing numerical comparison and analyzing result data of abnormal electric variables of power grid operation;

when (when)∉/>Or/and->∉/>And outputting the result data of the abnormal electric variable of the power grid operation as the existence of abnormal current or/and abnormal voltage.

The electric variable parameters of current and voltage in the electric network are measured in real time through the mutual cooperation of the electric network operation current acquisition unit and the electric network operation voltage acquisition unit, reliable data support is provided for electric network operation fault diagnosis analysis, the effect of intelligent electric network fault diagnosis is improved, the electric network operation abnormal current identification unit and the electric network operation abnormal voltage identification unit are mutually matched for scientifically analyzing the electric network current and voltage parameters and safe current and voltage thresholds for accurate numerical analysis, accurate and efficient identification of abnormal electric variables of current and voltage in the electric network is achieved, and response speed and identification accuracy of intelligent electric network fault diagnosis are improved.

Further, referring to fig. 1 to 2, when an abnormal current or/and an abnormal voltage exists in the result data of the abnormal electric variable of the power grid operation, the operation steps for collecting the coordinate data of the collecting point position of the abnormal electric variable of the power grid are as follows:

s31, when abnormal electric variable result data of the power grid operation is abnormal current or/and abnormal voltage, collecting space coordinates of specific collecting points of current data and voltage data in a power grid line through a position sensor and generating power grid abnormal electric variable collecting point position coordinate dataWherein->Represents the abscissa of specific current and voltage acquisition points in a space rectangular coordinate system established by taking sea level as a coordinate system base plane, and is->Represents the ordinate of a specific current and voltage acquisition point in a space rectangular coordinate system established by taking a sea level as a coordinate system base plane, and is +.>The vertical coordinates of specific current and voltage acquisition points in a space rectangular coordinate system established by taking the sea level as a coordinate system base plane are shown.

The data analysis algorithm is adopted to analyze and plan the shortest path from the inspection station to the abnormal electric variable acquisition point according to the coordinate data of the abnormal electric variable acquisition point of the power grid and the position coordinate data of the power grid fault inspection station and by combining the geographic three-dimensional model data from the inspection station to the abnormal electric variable acquisition point, and the inspection equipment of the inspection station executes the operation steps of moving the inspection to the abnormal electric variable acquisition point according to the shortest path from the inspection station to the abnormal electric variable acquisition point as follows:

S41, establishing position coordinate data of power grid fault inspection stationsWherein->Represents the abscissa of the power grid fault inspection station in a space rectangular coordinate system established by taking the sea level as the base plane of the coordinate system, and the +.>Representing the ordinate of a power grid fault inspection station in a space rectangular coordinate system established by taking sea level as a coordinate system base plane, wherein +.>The vertical coordinates of the power grid fault inspection station in a space rectangular coordinate system established by taking the sea level as a coordinate system base plane are represented;

s42, acquiring point position coordinate data according to abnormal electric variable of the power grid by adopting a data analysis algorithmPosition coordinate data of inspection station with power grid fault +.>And combining the geographic three-dimensional model data from the inspection station to the abnormal electric variable acquisition point to analyze and plan the shortest path from the inspection station to the abnormal electric variable acquisition point>The data analysis algorithm analyzes and plans the specific operation steps of the shortest path as follows:

s421, initializing, updating the maximum iteration number T of the algorithm and randomly initializing a path search osprey in an optimizing spaceThe group position and the position initialization formula are as followsWherein->Representation of Path search osprey->At->The position of the dimensional space, i.e. the path search osprey->Position in geographical three-dimensional model search space from inspection station to abnormal electrical variable acquisition point, < > >To optimize the lower boundary, namely the lower boundary in the geographic three-dimensional model search space from the inspection station to the abnormal electric variable acquisition point>To optimize the upper boundary, i.e. the upper boundary in the search space of the geographic three-dimensional model from the inspection station to the point of acquisition of the abnormal electrical variable>Is [0,1]Random numbers in between;

s422, in the exploration stage, the path searching hawk detects the position of underwater fish, after the position of the fish is determined, the hawk attacks the fish and predates underwater, the exploration stage of the path searching hawk population update in the algorithm is based on modeling of natural behavior of the path searching hawk, and the modeling of the path searching hawk attacks the fish can cause the position of the path searching hawk in a search space to change obviously; for each path search hawk, the locations of other path search hawks in the search space with better objective function values are considered underwater fish; the position of one fish is randomly detected by the path search hawkAttack it, namely randomly searching a coordinate data of an abnormal electric variable acquisition point position from a power grid in a geographic three-dimensional model search space from a patrol site to the abnormal electric variable acquisition pointPosition coordinate data of inspection station for power grid fault >And measuring the path length, and updating the new position of the corresponding path searching hawk on the basis of simulating the movement of the path searching hawk to the fish, wherein the path searching hawk position updating formula is +.>Wherein->Representation of Path search osprey->After update at->The position of the dimensional space, i.e. the path search osprey->After updating, the position in the geographic three-dimensional model search space from the inspection station to the abnormal electric variable acquisition point is located; />In order to search the space from the power grid abnormal electric variable acquisition point position coordinate data in the geographic three-dimensional model from the inspection station to the abnormal electric variable acquisition point>Position coordinate data of inspection station for power grid fault>Searching shortest paths selected by the hawk by paths; />A constant which is a value of 1 or 2; if the updated new position is better, namely the position is searched out in the geographical three-dimensional model search space from the inspection station to the abnormal electric variable acquisition point>To position->The shorter path, the initial position before updating of the littoral is searched by replacing the path according to the searching stage position replacement formula, wherein the searching stage position replacement formula is +.>Wherein->Representation of the exploration phase Path search osprey->At->Optimal position of dimensional space, namely optimal position in the search space of geographic three-dimensional model from inspection station to abnormal electric variable acquisition point, < - >Representation->Position fitness value in geographic three-dimensional model search space from inspection station to abnormal electrical variable acquisition point, +.>Representation->Position fitness values in a geographic three-dimensional model search space from a patrol station to an abnormal electrical variable acquisition point;

s423, development stage, roadThe method comprises the steps of taking a fish to a proper position after killing fish by a path search hawk, carrying out edible fish, modeling the path search hawk population update algorithm based on the simulation of natural behavior of the path search hawk, carrying out small change on the position of the path search hawk in a search space caused by modeling the path search hawk to the proper position, converging to a better proper position near the found proper position, and firstly calculating a new random position as a position suitable for edible fish for each individual in the path search hawk population, namely, the position in a geographic three-dimensional model space from a patrol station to an abnormal electric variable acquisition point searched in an exploration stageTo position->The path of the fish is optimized and selected, and the new formula for calculating the position suitable for eating the fish is as followsWherein->Representation of Path search osprey- >After update at->New random position of vitamin space is used as a position suitable for edible fish, namely, path search hawk +.>After updating, taking a new random position in a geographical three-dimensional model search space from a patrol inspection site to an abnormal electric variable acquisition site as a position suitable for edible fish, < + >>Representing the iteration number of the current algorithm; if the value of the objective function is obtained at this new locationThe improvement is that the initial position before updating of the hawk is searched by replacing the path according to the position replacement formula in the development stage, namely the position +_ in the geographic three-dimensional model space from the inspection station to the abnormal electric variable acquisition point is identified>To position->And replacing the position in the geographical three-dimensional model space from the inspection station to the abnormal electrical variable acquisition point, which is selected before updating, by using a development stage position replacement formula>To position->Is a path of (2); the development stage position replacement formula is +.>Wherein->Representation of the development phase Path search osprey->At->Optimal position of dimensional space, namely optimal position in the search space of geographic three-dimensional model from inspection station to abnormal electric variable acquisition point, < ->Representation->Position fitness value in geographic three-dimensional model search space from inspection station to abnormal electrical variable acquisition point, +. >Representation->Position fitness values in a geographic three-dimensional model search space from a patrol station to an abnormal electrical variable acquisition point;

s43, the inspection equipment of the inspection station is used for inspecting the shortest path from the station to the abnormal electric variable acquisition pointAnd executing the inspection moving operation from the inspection station to the abnormal electric variable acquisition point, wherein the inspection equipment adopts the multi-rotor unmanned aerial vehicle to carry the power grid detection equipment. />

When the inspection equipment executes the inspection moving operation of the abnormal electric variable acquisition point, acquiring real-time position coordinate data of the inspection equipment, carrying out coordinate value matching on the real-time position coordinate data of the inspection equipment and the coordinate data of the abnormal electric variable acquisition point of the power grid, and when the real-time position coordinate is completely matched with the numerical value of the abnormal electric variable acquisition point, outputting an abnormal electric variable acquisition point arrival instruction warning to prompt the inspection equipment to stop the moving operation, wherein the operation steps are as follows:

s51, when the inspection equipment executes the inspection moving operation of going to the abnormal electric variable acquisition point, acquiring the space coordinates of the inspection equipment reaching the abnormal electric variable acquisition point from the inspection station in real time through the position sensor and generating real-time position coordinate data of the inspection equipment Wherein->Represents the abscissa of the inspection equipment in a space rectangular coordinate system established by taking the sea level as the base plane of the coordinate system,/->Representing the ordinate of the inspection equipment in a space rectangular coordinate system established by taking the sea level as the base plane of the coordinate system>Representing the vertical coordinates of the inspection equipment in a space rectangular coordinate system established by taking the sea level as a coordinate system base plane;

s52, real-time position coordinate data of the inspection equipmentMiddle->、/>、/>Position coordinate data of abnormal electric variable acquisition points of power grid respectively +.>Corresponding->、/>、/>Coordinate value matching is performed when ∈>=/>And->=/>And->=/>Outputting an abnormal electric variable acquisition point reaching instruction warning to prompt the inspection equipment to stop moving operation when the inspection equipment reaches the position of the abnormal electric variable acquisition point; otherwise, outputting to continue to execute the patrol mobile operation to the abnormal electric variable acquisition point.

The position coordinate data of an abnormal electric variable acquisition point in the power grid is accurately obtained through the mutual coordination of the power grid abnormal electric variable position coordinate acquisition unit and the power grid inspection station to electric variable abnormal position path planning and executing unit, the shortest path level from the inspection station to the power grid abnormal electric variable acquisition point is accurately planned by combining an intelligent analysis algorithm, the inspection equipment is controlled to rapidly move to reach the abnormal electric variable acquisition point position, the accurate positioning and intelligent control operation of the fault position in the power grid fault diagnosis operation are realized, and the efficiency of the power grid fault diagnosis operation is improved; the real-time position coordinate acquisition unit and the power grid operation inspection electric variable abnormal position arrival identification warning unit are matched with each other in the power grid operation inspection process to monitor and warn the process that the inspection equipment arrives at the abnormal electric variable acquisition point, so that the reliability of power grid fault diagnosis operation is improved.

Further, referring to fig. 1-2, when the inspection device receives the warning prompt instruction from the abnormal electric variable acquisition point, the operation steps of acquiring the characteristic image data of the power grid operation inspection position are as follows:

s61, when the inspection equipment receives an abnormal electric variable acquisition point reaching a warning prompt instruction, shooting and acquiring characteristic images of the abnormal electric variable position of the power grid through the inspection equipment carrying shooting equipment and generating a characteristic image data set of the power grid operation inspection position，/>The method comprises the steps of carrying out a first treatment on the surface of the Wherein->Indicate the%>Characteristic image data of the web running inspection position, < +.>And the maximum value of the characteristic image data quantity of the power grid running inspection position is represented.

The method comprises the following steps of performing image feature matching on the power grid operation inspection position feature image data and the power grid operation fault type feature image data by adopting a data analysis algorithm, and analyzing and constructing power grid operation inspection position fault type diagnosis result data corresponding to abnormal electric variable acquisition points:

S72, adopting a data analysis algorithm in the step S42 to collect the characteristic image data of the power grid operation patrol positionIn the electric wire netting operation inspection positionFeature image data->Characteristic image data set of power grid operation fault type>In grid operation fault type characteristic image data +.>Performing image feature matching, and analyzing and constructing power grid operation inspection position fault type diagnosis result data of an abnormal electric variable acquisition point;

The method comprises the steps that a characteristic image acquisition unit of a power grid running inspection position acquires high-definition characteristic image data of a power line and power equipment of an abnormal power variable acquisition point of a power grid through an inspection equipment carrying shooting equipment, so that autonomous and accurate acquisition of power grid state characteristic data of the abnormal power variable acquisition point of the power grid is realized; the power grid operation inspection position fault type analysis and identification unit utilizes the acquired power grid abnormal electric variable acquisition point characteristic image to carry out intelligent characteristic image analysis by combining an intelligent analysis algorithm with characteristic image data of preset different types of power faults to efficiently diagnose the fault type of the power grid, so that the intelligent and standardized power grid fault diagnosis is realized, and the stability and safety of the power grid operation are improved.

The system comprises a power grid electrical variable anomaly sensing module, a power grid electrical variable anomaly position on-site arrival control module and a power grid operation fault feature detection module;

the power grid operation current acquisition unit acquires power grid operation line current data through a current measurement sensor; the power grid operation abnormal current identification unit is used for carrying out current value comparison on power grid operation line current data and a corresponding power grid operation current normal threshold value, identifying and analyzing abnormal current in a power grid operation line and generating output power grid operation abnormal electric variable result data; the power grid operation voltage acquisition unit acquires power grid operation line voltage data through a voltage measurement sensor; the power grid operation abnormal voltage identification unit is used for respectively comparing the voltage data of the power grid operation line with the corresponding normal threshold value of the power grid operation voltage, identifying and analyzing the abnormal voltage in the power grid operation line and generating output power grid operation abnormal electric variable result data; the power grid operation abnormal result output unit is used for outputting power grid operation abnormal electric variable result data;

The power grid electric variable abnormal position on-site arrival control module comprises a power grid abnormal electric variable position coordinate acquisition unit, a power grid fault inspection station position coordinate storage unit, a power grid inspection station to electric variable abnormal position path planning and execution unit, a power grid running inspection process real-time position coordinate acquisition unit and a power grid running inspection electric variable abnormal position arrival identification warning unit;

the system comprises a power grid abnormal electric variable position coordinate acquisition unit, a position sensor and a power grid control unit, wherein when abnormal current or/and abnormal voltage exists in power grid operation abnormal electric variable result data, position coordinate data of power grid abnormal electric variable acquisition points are acquired; the power grid fault inspection station position coordinate storage unit is used for storing power grid fault inspection station position coordinate data; the system comprises a power grid inspection station to electric variable abnormal position path planning and executing unit, wherein a data analysis algorithm is adopted to analyze and plan the shortest path from the inspection station to an abnormal electric variable acquisition point according to power grid abnormal electric variable acquisition point position coordinate data and power grid fault inspection station position coordinate data and by combining geographic three-dimensional model data from the inspection station to the abnormal electric variable acquisition point, and inspection equipment of the inspection station executes inspection moving operation to the abnormal electric variable acquisition point according to the shortest path from the inspection station to the abnormal electric variable acquisition point; the power grid running inspection process real-time position coordinate acquisition unit acquires real-time position coordinate data of the inspection equipment through the position sensor when the inspection equipment executes the inspection moving operation of the abnormal electric variable acquisition point; the power grid operation inspection electric variable abnormal position arrival identification warning unit is used for carrying out coordinate numerical matching on real-time position coordinate data of the inspection equipment and power grid abnormal electric variable acquisition point position coordinate data, and when the real-time position coordinate is completely matched with the numerical value of the abnormal electric variable acquisition point position coordinate, an abnormal electric variable acquisition point arrival instruction warning prompt inspection equipment is output to stop moving operation;

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. The intelligent power grid operation fault diagnosis method based on big data is characterized by comprising the following steps of:

s4, carrying out analysis planning on the shortest path from the inspection station to the abnormal electric variable acquisition point by adopting a data analysis algorithm according to the position coordinate data of the abnormal electric variable acquisition point of the power grid and the position coordinate data of the power grid fault inspection station and combining the geographic three-dimensional model data from the inspection station to the abnormal electric variable acquisition point, wherein the inspection equipment of the inspection station executes the inspection moving operation of going to the abnormal electric variable acquisition point according to the shortest path from the inspection station to the abnormal electric variable acquisition point, and the S4 comprises the following steps:

s421, initializing, namely updating the maximum iteration number T of an algorithm and randomly initializing a path in an optimizing space to search the position of the hawk population, wherein the position initializing formula is as followsWherein->Representation of Path search osprey->At->The position of the dimensional space, i.e. the path search osprey->Position in geographical three-dimensional model search space from inspection station to abnormal electrical variable acquisition point, < > >To optimize the lower boundary, namely the lower boundary in the geographic three-dimensional model search space from the inspection station to the abnormal electric variable acquisition point>To optimize the upper boundary, i.e. the upper boundary in the search space of the geographic three-dimensional model from the inspection station to the point of acquisition of the abnormal electrical variable>Is [0,1]Random numbers in between;

s422, in the exploration stage, the path searching hawk randomly detects the position of one fish and attacks the fish, namely randomly searching for coordinate data of the position of the abnormal electric variable acquisition point from the power grid in a geographic three-dimensional model searching space from the inspection station to the abnormal electric variable acquisition pointPosition coordinate data of inspection station for power grid fault>Measuring the path length, and updating the new position of the corresponding path search hawk on the basis of simulating the movement of the path search hawk to the fish; if the updated new position is better, namely, abnormal electric variable acquisition is achieved at the inspection stationSearching out position +.>To position->The shorter path is used for searching the initial position of the hawk before updating according to the position replacement formula of the exploration stage;

s423, in the development stage, firstly, for each individual in the path search hawk population, calculating a new random position as a position suitable for edible fish, namely, for the position in the geographic three-dimensional model space from the inspection station to the abnormal electric variable acquisition point searched in the exploration stage To position->The path of (2) is optimized and selected; if the value of the objective function is improved at the new position, the initial position before updating of the hawk is searched by replacing the path according to the position replacement formula in the development stage, namely the position +_ in the geographic three-dimensional model space from the inspection station to the abnormal electric variable acquisition point is identified>To the positionAnd replacing the position in the geographical three-dimensional model space from the inspection station to the abnormal electrical variable acquisition point, which is selected before updating, by using a development stage position replacement formula>To position->Is a path of (2);

s424, when the algorithm is fullOutputting the shortest path from the inspection station to the abnormal electric variable acquisition point after the maximum iteration times are enoughOtherwise, continuing to execute the steps S422 to S423 until the maximum iteration times are met;

s43, the inspection equipment of the inspection station is used for inspecting the shortest path from the station to the abnormal electric variable acquisition pointExecuting inspection moving operation from an inspection station to an abnormal electric variable acquisition point, wherein the inspection equipment adopts a multi-rotor unmanned aerial vehicle to carry power grid detection equipment;

2. The intelligent power grid operation fault diagnosis method based on big data according to claim 1, wherein the method comprises the following steps: the step S1 comprises the following steps:

3. The intelligent power grid operation fault diagnosis method based on big data according to claim 2, wherein: the step S2 comprises the following steps:

s21, respectively establishing normal thresholds of running currents of power grids Normal threshold of grid operating voltageWherein->Indicating the safety peak current of the normal running line of the power grid, +.>Representing the safe valley current of the normal operation line of the power grid; />Representing the safety peak voltage of the normal operation line of the power grid, +.>The safe low-valley voltage of the normal operation line of the power grid is represented;

s22, the current data of the power grid operation lineThe power grid is operatedLine voltage data->Respectively with the normal threshold value of the power grid running current>Grid operating voltage normal threshold->Performing numerical comparison and analyzing result data of abnormal electric variables of power grid operation;

4. A smart grid operational fault diagnosis method based on big data as claimed in claim 3, wherein: the step S3 comprises the following steps:

5. The intelligent power grid operation fault diagnosis method based on big data according to claim 4, wherein the method comprises the following steps: the step S5 comprises the following steps:

s51, when the inspection equipment executes the inspection moving operation of going to the abnormal electric variable acquisition point, acquiring the space coordinates of the inspection equipment reaching the abnormal electric variable acquisition point from the inspection station in real time through the position sensor and generating real-time position coordinate data of the inspection equipmentWherein->Expressed in terms ofThe sea level is the abscissa of the inspection equipment in the space rectangular coordinate system established by the coordinate system base plane, < ->Representing the ordinate of the inspection equipment in a space rectangular coordinate system established by taking the sea level as the base plane of the coordinate system>Representing the vertical coordinates of the inspection equipment in a space rectangular coordinate system established by taking the sea level as a coordinate system base plane;

S52, carrying out real-time position coordinate data of the inspection equipmentMiddle->、/>、/>Position coordinate data of abnormal electric variable acquisition points of power grid respectively +.>Corresponding->、/>、/>Coordinate value matching is performed when ∈>=/>And->=/>And is also provided with=/>Outputting an abnormal electric variable acquisition point reaching instruction warning to prompt the inspection equipment to stop moving operation when the inspection equipment reaches the position of the abnormal electric variable acquisition point; otherwise, outputting to continue to execute the patrol mobile operation to the abnormal electric variable acquisition point.

6. The intelligent power grid operation fault diagnosis method based on big data according to claim 5, wherein the intelligent power grid operation fault diagnosis method based on big data is characterized in that: the step S6 comprises the following steps:

7. The intelligent power grid operation fault diagnosis method based on big data according to claim 6, wherein the method comprises the following steps: the step S7 comprises the following steps:

s72, adopting a data analysis algorithm in the step S42 to collect the characteristic image data of the power grid operation patrol positionCharacteristic image data of power grid operation inspection position>Characteristic image data set of power grid operation fault type>In grid operation faultsType characteristic image data->Performing image feature matching, and analyzing and constructing power grid operation inspection position fault type diagnosis result data of an abnormal electric variable acquisition point;

when (when)And->If the matching is successful, the power grid operation fault exists at the position of the abnormal electric variable acquisition point, and the diagnosis result data of the fault type of the power grid operation inspection position is output as the detected +.>A power grid operation fault is generated;

8. A system for implementing a smart grid operational fault diagnosis method based on big data according to any of claims 1-7.