CN116979702B

CN116979702B - Intelligent monitoring quality inspection method, system and medium for power transmission line based on big data

Info

Publication number: CN116979702B
Application number: CN202311238809.3A
Authority: CN
Inventors: 赵特; 张涛; 熊伟
Original assignee: Shenzhen Thing King Technology Co ltd
Current assignee: Shenzhen Thing King Technology Co ltd
Priority date: 2023-09-25
Filing date: 2023-09-25
Publication date: 2024-01-09
Anticipated expiration: 2043-09-25
Also published as: CN116979702A

Abstract

The embodiment of the application provides a method, a system and a medium for intelligent monitoring quality inspection of a power transmission line based on big data. The method comprises the following steps: generating a dynamic characteristic organization tree of the power transmission system according to comprehensive monitoring information of the circuit and dynamic monitoring information of the power transmission environment, extracting a dynamic characteristic data set of the power transmission system, processing and dividing a line facility working condition detection sub-index, a power transmission characteristic quality inspection sub-index, a power transmission line quality inspection sub-index and an aggregation treatment to obtain a power transmission line quality inspection total index, processing according to each power transmission line quality inspection sub-index and the power transmission line quality inspection total index to obtain sub-section quality inspection abnormal coefficients, identifying quality inspection abnormal conditions of each power transmission line sub-section in a time period according to a comparison result with a preset threshold value, and prompting and early warning; therefore, quality inspection abnormality judgment is carried out on abnormal result data obtained by quality inspection on the facility working conditions and the power transmission characteristics of all sub-sections of the power transmission line based on the big data, and the technology of quality inspection and abnormality prompt on the facilities and the performances of the power transmission line according to the big data is realized.

Description

Intelligent monitoring quality inspection method, system and medium for power transmission line based on big data

Technical Field

The application relates to the technical field of big data and transmission lines, in particular to a transmission line intelligent monitoring quality inspection method, system and medium based on the big data.

Background

The monitoring of the power transmission line and facilities is an important link in the power industry, because the power transmission line is mostly arranged in a complex topography environment, the power transmission line has the characteristics of long layout distance, various power transmission indexes and larger environmental influence, the monitoring of the power transmission line does not have the performance monitoring and evaluation of the recognition of the working condition of the power transmission facility and the influence condition of the power transmission performance and the facility state under various environmental changes except the conventional remote data monitoring means and the abnormal alarm troubleshooting passive monitoring means at the present stage, the current power transmission industry has the defects of the monitoring technology, the monitoring and the abnormal judgment can not be carried out by collecting the information data of the power transmission line, the facilities and the environments where the power transmission line and the facilities are located, and the active monitoring and the judgment recognition can not be carried out on hidden faults and hidden dangers.

In view of the above problems, an effective technical solution is currently needed.

Disclosure of Invention

The embodiment of the application aims to provide a transmission line intelligent monitoring quality inspection method, a transmission line intelligent monitoring quality inspection system and a transmission line intelligent monitoring medium based on big data, and quality inspection abnormality judgment can be carried out on abnormal result data obtained by quality inspection on facility working conditions and transmission characteristics of all sub-sections of a transmission line through the big data, so that a technology for quality inspection and abnormality prompt on transmission line facilities and performances according to the big data is realized.

The embodiment of the application also provides a transmission line intelligent monitoring quality inspection method based on big data, which comprises the following steps:

acquiring comprehensive circuit monitoring information and dynamic power transmission environment monitoring information of a preset power transmission line section in a preset time period;

generating a power transmission line performance monitoring map according to the circuit comprehensive monitoring information, and generating a power transmission system dynamic characteristic organization tree according to the power transmission line performance monitoring map and the power transmission environment dynamic monitoring information;

extracting a dynamic characteristic data set of the power transmission system according to the dynamic characteristic organization tree of the power transmission system, wherein the dynamic characteristic data set comprises a circuit power transmission performance characteristic data subset, a line facility working condition characteristic data subset and a power transmission environment characteristic data subset of each power transmission line sub-section;

processing according to the power transmission environment characteristic data subset and the line facility working condition characteristic data subset to obtain a line facility working condition detection sub-index;

processing according to the power transmission environment characteristic data subset and combining the circuit power transmission performance characteristic data subset to obtain a power transmission characteristic quality inspection sub-index;

processing according to the transmission characteristic quality inspection sub-index and the line facility working condition detection sub-index to obtain corresponding transmission line quality inspection sub-indexes of each transmission line sub-section, and performing aggregation processing on the transmission line quality inspection sub-indexes to obtain a transmission line quality inspection total index;

Processing according to the corresponding transmission line quality inspection sub-indexes and the transmission line quality inspection total indexes of each transmission line sub-section to obtain corresponding sub-section quality inspection abnormal coefficients, comparing the sub-section quality inspection abnormal coefficients with a preset transmission line section quality inspection abnormal threshold value according to the sub-section quality inspection abnormal coefficients, detecting and identifying the quality inspection abnormal condition of each transmission line sub-section in a preset time period, and prompting and early warning.

Optionally, in the method for intelligently monitoring quality of power transmission lines based on big data according to the embodiment of the present application, the collecting comprehensive circuit monitoring information and dynamic power transmission environment monitoring information of a preset power transmission line section within a preset time period includes:

the circuit comprehensive monitoring information comprises electric field electric energy monitoring information, power transmission circuit monitoring information, circuit facility monitoring information and line working condition monitoring information;

the power transmission environment dynamic monitoring information comprises wind power direction information, temperature and humidity information, air quality information and altitude geological information.

Optionally, in the method for intelligently monitoring quality of power transmission line based on big data according to the embodiment of the present application, the generating a power transmission line performance monitoring map according to the comprehensive circuit monitoring information, and generating a power transmission system dynamic feature organization tree according to the power transmission line performance monitoring map and combining the power transmission environment dynamic monitoring information includes:

Respectively extracting monitoring sub-information of each power transmission line sub-section according to the electric field electric energy monitoring information, the power transmission line monitoring information, the circuit facility monitoring information and the line working condition monitoring information to obtain electric field electric energy monitoring sub-information, power transmission line monitoring sub-information, circuit facility monitoring sub-information and line working condition monitoring sub-information;

the electric field electric energy monitoring sub-information comprises electric field distribution information, electric energy induction information and potential difference distribution information of each power transmission line sub-section;

the power transmission line monitoring sub-information comprises power transmission line load information, power transmission power information and power transmission loss information of each power transmission line sub-section;

the circuit facility monitoring sub-information comprises tower inclination information and tower vibration information of each power transmission line sub-section;

the line condition monitoring sub-information comprises line layout deviation information, line sag information, line foreign matter coverage information and line freezing information of each power transmission line sub-section;

generating a transmission line performance monitoring map according to the electric field distribution information, the electric energy induction information, the potential difference distribution information, the transmission line load information, the transmission power information, the transmission loss information, the tower inclination information, the tower vibration information, the line layout deviation information, the line sag information, the line foreign matter covering information and the line freezing information of all transmission line sub-sections;

And generating a dynamic characteristic organization tree of the power transmission system according to the power transmission line performance monitoring map and combining the wind direction information, the temperature and humidity information, the air quality information and the altitude geological information.

Optionally, in the method for intelligently monitoring quality of a power transmission line based on big data according to the embodiment of the present application, the extracting a power transmission system dynamic feature data set according to the power transmission system dynamic feature organization tree includes a circuit power transmission performance feature data subset, a line facility working condition feature data subset and a power transmission environment feature data subset of each power transmission line sub-segment, including:

extracting a dynamic characteristic data set of the power transmission system in the preset time period according to the dynamic characteristic organization tree of the power transmission system, wherein the dynamic characteristic data set comprises a circuit power transmission performance characteristic data subset, a line facility working condition characteristic data subset and a power transmission environment characteristic data subset of each power transmission line sub-section;

the circuit power transmission performance characteristic data subset comprises electric field intensity distribution data, electric energy potential difference distribution data and power transmission load efficacy data of each power transmission line sub-section;

the line facility working condition characteristic data subset comprises line layout deviation data, line arc sag data, line facility icing data and tower inclination and vibration data of each power transmission line sub-section;

The power transmission environment characteristic data subset comprises wind disturbance data, temperature and humidity data, air particle stain data and geological stability data of each power transmission line sub-section.

Optionally, in the method for intelligently monitoring quality of a power transmission line based on big data according to the embodiment of the present application, the processing according to the subset of power transmission environment feature data in combination with the subset of line facility working condition feature data to obtain a line facility working condition detection sub-index includes:

inputting the wind disturbance data, the air particle stain data, the temperature and humidity data and the geological stability data into a preset power transmission facility ring condition evaluation model according to the combination of the line layout deviation data, the line arc sag data, the line facility icing data and the tower inclination and vibration data for processing, and obtaining a line facility working condition detection sub-index of each power transmission line sub-section in the preset time period;

the calculation formula of the line facility working condition detection sub-index is as follows:

；

wherein,detecting a sub-index for the line installation condition of the ith transmission line sub-section, < >>、/>、/>、/>Respectively the ith inputWind disturbance data, air particle stain data, temperature and humidity data, geological stability data and +. >、/>、/>、/>Line layout deviation data, line arc sag data, line facility icing data, tower inclination and vibration data of the ith transmission line sub-section respectively, +.>For presetting the interference factor of the ring condition, +.>、/>、/>、/>Is a preset characteristic coefficient.

Optionally, in the method for intelligently monitoring quality of a power transmission line based on big data according to the embodiment of the present application, the processing according to the subset of power transmission environment feature data in combination with the subset of circuit power transmission performance feature data to obtain a power transmission characteristic quality inspection sub-index includes:

inputting the wind disturbance data, the air particle stain data, the temperature and humidity data and the electric field intensity distribution data, the electric energy potential difference distribution data and the power transmission load efficacy data into a preset power transmission characteristic quality inspection model for processing to obtain a power transmission characteristic quality inspection sub-index of each power transmission line sub-section in the preset time period;

the calculation formula of the transmission characteristic quality inspection sub-index is as follows:

；

wherein,quality inspection sub-index for transmission characteristics of the ith transmission line sub-section, < >>、/>、/>Wind disturbance data, air particle stain data, temperature and humidity data and +.>、/>、/>Electric field intensity distribution data, electric energy potential difference distribution data, power transmission load efficacy data, and/or the like of the ith power transmission line sub-section respectively >、/>、/>、/>、/>、/>Is a preset characteristic coefficient.

Optionally, in the method for intelligently monitoring quality of a power transmission line based on big data according to the embodiment of the present application, the processing according to the power transmission characteristic quality testing sub-index and the line facility working condition testing sub-index to obtain a corresponding power transmission line quality testing sub-index of each power transmission line sub-section, and performing aggregation processing on the power transmission line quality testing sub-indexes to obtain a power transmission line quality testing total index includes:

processing according to the transmission characteristic quality inspection sub-index and the line facility working condition detection sub-index to obtain corresponding transmission line quality inspection sub-indexes of each transmission line sub-section;

carrying out weighted aggregation treatment on the transmission line quality inspection sub-indexes of each transmission line sub-section to obtain a transmission line quality inspection total index of the preset transmission line section in a preset time period;

the weighted aggregation formula of the transmission line quality inspection total index is as follows:

；

wherein,for the total index of quality inspection of the transmission line, +.>Transmission line quality inspection sub-index for the ith transmission line sub-segment, < >>For the preset loop interference factor, n is the number of transmission line sub-sections of the preset transmission line section, +.>Is the characteristic coefficient of the ith transmission line sub-section.

Optionally, in the method for intelligently monitoring quality of a power transmission line based on big data according to the embodiment of the present application, the processing according to the corresponding power transmission line quality inspection sub-index and the power transmission line quality inspection total index of each power transmission line sub-segment to obtain a corresponding sub-segment quality inspection anomaly coefficient includes:

Processing according to the corresponding transmission line quality inspection sub-indexes of each transmission line sub-segment and the transmission line quality inspection total index to obtain corresponding sub-segment quality inspection abnormal coefficients;

the sub-segment quality inspection anomaly coefficients of the power transmission line sub-segments are as follows:

；

wherein,detecting abnormal coefficients for sub-segment quality of the ith transmission line sub-segment, < ->For the total index of quality inspection of the transmission line, +.>Transmission line quality inspection sub-index for ith transmission line sub-section,/->Is the characteristic coefficient of the ith transmission line sub-section.

In a second aspect, an embodiment of the present application provides an intelligent monitoring quality inspection system for a power transmission line based on big data, the system includes: the intelligent monitoring quality inspection system comprises a memory and a processor, wherein the memory comprises a program of an intelligent monitoring quality inspection method of the power transmission line based on big data, and the program of the intelligent monitoring quality inspection method of the power transmission line based on big data realizes the following steps when being executed by the processor:

In a third aspect, an embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium includes a big data based power transmission line intelligent monitoring quality inspection method program, where when the big data based power transmission line intelligent monitoring quality inspection method program is executed by a processor, the steps of the big data based power transmission line intelligent monitoring quality inspection method according to any one of the foregoing embodiments are implemented.

As can be seen from the foregoing, according to the big data-based power transmission line intelligent monitoring quality inspection method, system and medium provided by the embodiments of the present application, a power transmission system dynamic feature organization tree is generated through circuit comprehensive monitoring information and power transmission environment dynamic monitoring information of a power transmission line section, a power transmission system dynamic feature data set is extracted, a line facility working condition detection sub-index, a power transmission characteristic quality inspection sub-index, a power transmission line quality inspection sub-index and an aggregation processing are respectively obtained according to the power transmission system dynamic feature data set, a power transmission line quality inspection total index is obtained, sub-section quality inspection abnormal coefficients are obtained according to the respective power transmission line quality inspection sub-indexes and the power transmission line quality inspection total index, and quality inspection abnormal conditions of each power transmission line sub-section in a time period are detected and identified according to a comparison result with a preset threshold, and early warning is prompted; therefore, quality inspection abnormality judgment is carried out on abnormal result data obtained by quality inspection on the facility working conditions and the power transmission characteristics of all sub-sections of the power transmission line based on the big data, and the technology of quality inspection and abnormality prompt on the facilities and the performances of the power transmission line according to the big data is realized.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method for intelligently monitoring quality of a power transmission line based on big data according to an embodiment of the present application;

fig. 2 is a flowchart of obtaining comprehensive circuit monitoring information and dynamic power transmission environment monitoring information of the intelligent power transmission line monitoring quality inspection method based on big data provided in the embodiment of the present application;

fig. 3 is a flowchart of a method for generating a dynamic feature organization tree of a power transmission system according to the big data-based power transmission line intelligent monitoring quality inspection method provided in the embodiment of the present application;

Fig. 4 is a schematic structural diagram of an intelligent monitoring quality inspection system for a power transmission line based on big data according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.

It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.

Referring to fig. 1, fig. 1 is a flowchart of a method for intelligently monitoring quality of a transmission line based on big data in some embodiments of the present application. The intelligent monitoring quality inspection method for the power transmission line based on the big data is used in terminal equipment, such as a computer, a mobile phone terminal and the like. The intelligent monitoring quality inspection method for the power transmission line based on big data comprises the following steps:

s101, acquiring comprehensive circuit monitoring information and dynamic power transmission environment monitoring information of a preset power transmission line section in a preset time period;

s102, generating a power transmission line performance monitoring map according to the circuit comprehensive monitoring information, and generating a power transmission system dynamic characteristic organization tree according to the power transmission line performance monitoring map and the power transmission environment dynamic monitoring information;

s103, extracting a dynamic characteristic data set of the power transmission system according to the dynamic characteristic organization tree of the power transmission system, wherein the dynamic characteristic data set comprises a circuit power transmission performance characteristic data subset, a line facility working condition characteristic data subset and a power transmission environment characteristic data subset of each power transmission line sub-section;

s104, processing according to the power transmission environment characteristic data subset and combining the line facility working condition characteristic data subset to obtain a line facility working condition detection sub-index;

S105, processing according to the power transmission environment characteristic data subset and combining the circuit power transmission performance characteristic data subset to obtain a power transmission characteristic quality inspection sub-index;

s106, processing according to the transmission characteristic quality inspection sub-index and the line facility working condition detection sub-index to obtain corresponding transmission line quality inspection sub-indexes of each transmission line sub-section, and performing aggregation processing on the transmission line quality inspection sub-indexes to obtain a transmission line quality inspection total index;

s107, processing according to the corresponding transmission line quality inspection sub-indexes and the transmission line quality inspection total indexes of each transmission line sub-section to obtain corresponding sub-section quality inspection abnormal coefficients, comparing the sub-section quality inspection abnormal coefficients with a preset transmission line section quality inspection abnormal threshold value according to the sub-section quality inspection abnormal coefficients, detecting and identifying the quality inspection abnormal condition of each transmission line sub-section in a preset time period, and prompting and early warning.

It should be noted that, in order to achieve accurate quality inspection of the working performance and state of the transmission line and the facilities, a method of collecting, processing and evaluating the monitoring and evaluating of the transmission line in a certain period of time is adopted, because different transmission lines have differences in weather and environment in different regions, positions and different times, in order to obtain the accuracy of quality inspection of the transmission line, the transmission line needs to be segmented according to the actual region and environment conditions in combination with the quality inspection requirement, so as to achieve accurate monitoring and quality inspection evaluation of the transmission line of each sub-section under the objective environment conditions, by collecting comprehensive monitoring information and dynamic monitoring information of the transmission environment of the circuit of the preset transmission line section in the preset period of time, and respectively generating a transmission line performance monitoring map depicting the working condition performance state of the transmission line and a dynamic characteristic tissue tree of the transmission line and facilities under the corresponding environment conditions, extracting a dynamic characteristic data set of the system, including the transmission performance of each transmission line sub-section, the working condition of the transmission line facility and the characteristic data subset of the environment, and processing the sub-section of the transmission line corresponding to the working condition data of the corresponding sub-section of the transmission line in combination with the environment characteristic data of the transmission environment condition, and obtaining the quality inspection index of the transmission line sub-section corresponding to the working condition data of the transmission line sub-section in combination with the corresponding environment condition index is obtained, the quality inspection sub-indexes are quality inspection index quantities reflecting the transmission working characteristics of each sub-section under the preset time environment condition and the facility working condition, the transmission line quality inspection sub-indexes of each sub-section are subjected to aggregation treatment to obtain the transmission line quality inspection total indexes of the preset transmission line section, the transmission line quality inspection sub-indexes of each sub-section are finally processed according to the transmission line quality inspection sub-indexes and the transmission line quality inspection total indexes to obtain sub-section quality inspection abnormal coefficients, the obtained quality inspection abnormal coefficients are subjected to threshold value comparison with the preset transmission line section quality inspection abnormal threshold value, the transmission line sub-section corresponding to a certain quality inspection abnormal coefficient which does not meet the preset requirement is identified according to the comparison requirement of the threshold value comparison result, and the sub-section is subjected to abnormal prompt and early warning, so that the quality inspection evaluation and the abnormal early warning means of the transmission line and the facility under the environment state are realized according to big data.

Referring to fig. 2, fig. 2 is a flowchart of obtaining comprehensive circuit monitoring information and dynamic monitoring information of a power transmission environment according to a method for intelligent monitoring quality inspection of a power transmission line based on big data in some embodiments of the present application. According to the embodiment of the invention, the circuit comprehensive monitoring information and the power transmission environment dynamic monitoring information of the preset power transmission line section in the preset time period are collected, specifically:

s201, acquiring comprehensive circuit monitoring information and dynamic power transmission environment monitoring information of a preset power transmission line section in a preset time period;

s202, the circuit comprehensive monitoring information comprises electric field electric energy monitoring information, power transmission circuit monitoring information, circuit facility monitoring information and line condition monitoring information;

s203, the dynamic monitoring information of the power transmission environment comprises wind power direction information, temperature and humidity information, air quality information and altitude geological information.

It should be noted that, in order to accurately evaluate the monitoring and evaluation results of the power transmission line and the facilities, monitoring information of a circuit and a facility system of a target power transmission line section within a certain time and corresponding environmental dynamic monitoring information are required to be collected at first, so as to perform data dynamic description on working condition performance and environmental conditions of the power transmission line of the evaluation section according to the collected information, and circuit comprehensive monitoring information and power transmission environment dynamic monitoring information of a preset power transmission line section within a preset time period are collected, wherein the circuit comprehensive monitoring information comprises monitoring information of electric fields and electric field electric energy of the power transmission line, monitoring information of power transmission line electric energy transmission power load loss and the like, and state monitoring information of a circuit facility comprising a tower, erection condition of the line and working condition monitoring information covered by foreign objects, and the power transmission environment dynamic monitoring information comprises wind direction, temperature and humidity, air quality such as granularity and information of ground geology in the preset time period.

Referring to fig. 3, fig. 3 is a flowchart of a method for generating a dynamic feature organization tree of a power transmission system according to an intelligent monitoring quality inspection method for a power transmission line based on big data in some embodiments of the present application. According to the embodiment of the invention, the power transmission line performance monitoring map is generated according to the circuit comprehensive monitoring information, and the power transmission system dynamic characteristic organizing tree is generated according to the power transmission line performance monitoring map and the power transmission environment dynamic monitoring information, specifically:

s301, monitoring sub-information of each power transmission line sub-section is respectively extracted according to the electric field electric energy monitoring information, the power transmission line monitoring information, the circuit facility monitoring information and the line working condition monitoring information, and electric field electric energy monitoring sub-information, power transmission line monitoring sub-information, circuit facility monitoring sub-information and line working condition monitoring sub-information are obtained;

s302, the electric field electric energy monitoring sub-information comprises electric field distribution information, electric energy induction information and potential difference distribution information of all power transmission line sub-sections;

s303, the power transmission line monitoring sub-information comprises power transmission line load information, power transmission power information and power transmission loss information of each power transmission line sub-section;

s304, the circuit facility monitoring sub-information comprises tower inclination information and tower vibration information of each power transmission line sub-section;

S305, the line condition monitoring sub-information comprises line layout deviation information, line sag information, line foreign matter coverage information and line freezing information of each power line sub-section;

s306, generating a transmission line performance monitoring map according to the electric field distribution information, the electric energy induction information, the potential difference distribution information, the transmission line load information, the transmission power information, the transmission loss information, the tower inclination information, the tower vibration information, the line layout deviation information, the line sag information, the line foreign matter coverage information and the line freezing information of all transmission line sub-sections;

s307, generating a power transmission system dynamic characteristic organization tree according to the power transmission line performance monitoring map and combining the wind power direction information, the temperature and humidity information, the air quality information and the altitude geological information.

After acquiring the comprehensive circuit monitoring information and dynamic power transmission environment monitoring information of the preset power transmission line section in a time period, generating a monitoring map capable of describing the performance of the power transmission line and the working condition of the power transmission line to be drawn, combining corresponding environment conditions according to the monitoring map to generate a dynamic characteristic organization tree capable of datamation of dynamic characteristic data of the power transmission system drawn under the environment data, wherein the characteristic organization tree is a datamation model for datamation of overall dynamic operation of the power transmission system drawn under the real-time environment condition, various dynamic characteristic parameter data corresponding to the power transmission circuit, the power transmission facility and the working condition environment can be extracted and obtained through the characteristic organization tree, in the scheme, firstly, monitoring sub-information of each preset divided power transmission line sub-section is respectively extracted according to electric field electric energy monitoring information, power transmission line monitoring information, circuit facility monitoring information and line working condition monitoring information, electric field electric energy monitoring sub-information, power transmission line monitoring sub-information and line working condition monitoring sub-information corresponding to each power transmission line sub-section are obtained, the electric field electric energy monitoring sub-information comprises electric field distribution, induction acquisition of electric energy and information of potential difference distribution of each sub-section, the power transmission line monitoring sub-information comprises information of power transmission line load, power transmission and power transmission loss of each sub-section, the circuit facility monitoring sub-information comprises information of tower gradient and tower vibration condition of each sub-section, the line working condition monitoring sub-information comprises information of deviation degree, line arc sag, line viscosity and foreign matter coverage and line freezing icing ice coverage of each sub-section, and then carrying out information fusion according to the information of all the subsections to generate a power transmission line performance monitoring map, and then carrying out information linking by combining the power transmission environment dynamic monitoring information to generate a power transmission system dynamic characteristic organization tree.

According to the embodiment of the invention, the dynamic characteristic data set of the power transmission system is extracted according to the dynamic characteristic organization tree of the power transmission system, and the dynamic characteristic data set comprises a circuit power transmission performance characteristic data subset, a line facility working condition characteristic data subset and a power transmission environment characteristic data subset of each power transmission line sub-section, and specifically comprises the following steps:

The method is characterized in that a dynamic characteristic data set of the power transmission system is extracted through a generated dynamic characteristic organization tree of the power transmission system, the characteristic data set is dynamic description data reflecting the performance, working conditions and environment of the whole system of the power transmission line and facilities, wherein the dynamic characteristic data set comprises characteristic data subsets corresponding to the power transmission performance, the working conditions of the line facilities and the power transmission environment of each power transmission line sub-section, the circuit power transmission performance characteristic data subset comprises data of electric field intensity distribution, electric energy potential difference distribution, power transmission operation load and efficacy of each sub-section, the line facility working condition characteristic data subset comprises data of deviation degree, line arc sag, line facility external viscosity, ice cover ice covering, gradient and swing deflection of a pole tower of each sub-section, the power transmission environment characteristic data subset comprises data of disturbance of wind direction, temperature humidity, air particle stain condition and geological stability of the pole tower of each sub-section, and relevant characteristic data parameters of the power transmission line and facility system and the environment working conditions are reflected through the characteristic data of each sub-section.

According to the embodiment of the invention, the processing is performed according to the power transmission environment characteristic data subset and the line facility working condition characteristic data subset to obtain a line facility working condition detection sub-index, specifically:

；

wherein,detecting a sub-index for the line installation condition of the ith transmission line sub-section, < >>、/>、/>、/>Wind disturbance data, air particle dirt data, temperature and humidity data and geological stability data of the ith transmission line sub-section respectively are +.>、/>、/>、/>Line layout deviation data, line arc sag data, line facility icing data, tower inclination and vibration data of the ith transmission line sub-section respectively, +.>For presetting the interference factor of the ring condition, +.>、/>、/>、/>And the characteristic coefficient is preset (the ring condition interference factor and the characteristic coefficient are obtained by inquiring a third party transmission line monitoring information database).

After obtaining the circuit transmission performance characteristic data subset, the line facility working condition characteristic data subset and the transmission environment characteristic data subset of each sub-section of the transmission line, respectively carrying out weighted calculation on the influence of wind power, air granularity, temperature and humidity and geological conditions on line deviation, arc sagging, icing and towers to obtain detection results, respectively carrying out corresponding processing on the interference influence of line layout deviation data, line arc sagging data, line facility icing data and tower tilting and swinging data according to wind disturbance data, air particle dirty data, temperature and humidity data and geological stability data, calculating the data through a preset transmission facility ring condition evaluation model, and obtaining a line facility working condition detection sub-index of each transmission line sub-section in a preset time period, wherein the detection sub-index reflects the working condition detection condition of the line facility of each sub-section under the effect of environmental influence.

According to the embodiment of the invention, the transmission characteristic quality inspection sub-index is obtained by processing the transmission environment characteristic data subset and the circuit transmission performance characteristic data subset, specifically:

；

wherein,quality inspection sub-index for transmission characteristics of the ith transmission line sub-section, < >>、/>、/>Wind disturbance data, air particle stain data, temperature and humidity data and +.>、/>、/>Electric field intensity distribution data, electric energy potential difference distribution data, power transmission load efficacy data, and/or the like of the ith power transmission line sub-section respectively>、/>、/>、/>、/>、/>And the characteristic coefficient is preset (the characteristic coefficient is obtained by inquiring a third party transmission line monitoring information database).

It should be noted that, in order to detect the transmission characteristics of each sub-section transmission line under the environmental condition, that is, to obtain the quality inspection index result of the transmission performance of the transmission line by processing and analyzing the influence condition of the environmental external force on the transmission performance, the quality inspection of the transmission characteristics of each sub-section is realized, and the data of wind disturbance, air particle stains, temperature and humidity, combined with the data of electric field intensity distribution, electric energy potential difference distribution and transmission load efficacy are processed and calculated by a preset transmission characteristic quality inspection model, so as to obtain the transmission characteristic quality inspection sub-index of each sub-section in the preset time period, where the quality inspection sub-index reflects the transmission characteristic condition of the transmission line of each sub-section under the environmental influence.

According to the embodiment of the invention, the corresponding transmission line quality inspection sub-indexes of each transmission line sub-section are obtained by processing the transmission characteristic quality inspection sub-indexes and the line facility working condition detection sub-indexes, and the transmission line quality inspection sub-indexes are aggregated to obtain a transmission line quality inspection total index, which is specifically as follows:

；/>

wherein,for the total index of quality inspection of the transmission line, +.>Transmission line quality inspection sub-index for the ith transmission line sub-segment, < >>For the preset loop interference factor, n is the number of transmission line sub-sections of the preset transmission line section, +.>Characteristic coefficients of the ith transmission line sub-section (the characteristic coefficients are obtained by inquiring a third party transmission line monitoring information database).

After obtaining the transmission characteristic quality inspection sub-index and the line facility working condition detection sub-index of each sub-section in a preset time period, carrying out weighting treatment to obtain a corresponding transmission line quality inspection sub-index, wherein the sub-index is a comprehensive detection result of the transmission line characteristic and the facility working condition of each sub-section, and carrying out weighting aggregation calculation on the transmission line quality inspection sub-indexes of each transmission line sub-section to obtain a transmission line quality inspection total index of the preset transmission line section in the preset time period, wherein the total index reflects the transmission line characteristic of the preset transmission line section and the overall quality inspection condition of the facility working condition; the quality inspection sub-index of the power transmission line is as follows: Wherein->And->Detecting sub-index for transmission characteristic quality of ith transmission line sub-section and line facility working condition detecting sub-index +.>、/>Is the characteristic coefficient of the ith transmission line sub-section.

According to the embodiment of the invention, the corresponding sub-segment quality inspection abnormal coefficients are obtained by processing the corresponding sub-index of the transmission line and the total index of the transmission line, specifically:

；

wherein,detecting abnormal coefficients for sub-segment quality of the ith transmission line sub-segment, < ->For the total index of quality inspection of the transmission line, +.>Transmission line quality inspection sub-index for the ith transmission line sub-segment, < >>Is the characteristic coefficient of the ith transmission line sub-section.

In order to identify and judge the abnormal operation condition of each power transmission line sub-section, the quality inspection sub-index of the power transmission line corresponding to each sub-section and the total quality inspection index of the power transmission line are weighted and calculated to obtain the corresponding sub-section quality inspection abnormal coefficient, and then whether the abnormal operation of each sub-section exceeds the standard is judged through threshold value comparison according to the quality inspection abnormal coefficient, so that the detection and evaluation judgment of the abnormal operation quality inspection of the power transmission line and facilities through big data are realized.

As shown in fig. 4, the invention also discloses a transmission line intelligent monitoring quality inspection system 4 based on big data, which comprises a memory 41 and a processor 42, wherein the memory comprises a transmission line intelligent monitoring quality inspection method program based on big data, and the following steps are realized when the transmission line intelligent monitoring quality inspection method program based on big data is executed by the processor:

According to the embodiment of the invention, the circuit comprehensive monitoring information and the power transmission environment dynamic monitoring information of the preset power transmission line section in the preset time period are collected, specifically:

According to the embodiment of the invention, the power transmission line performance monitoring map is generated according to the circuit comprehensive monitoring information, and the power transmission system dynamic characteristic organizing tree is generated according to the power transmission line performance monitoring map and the power transmission environment dynamic monitoring information, specifically:

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The third aspect of the present invention provides a readable storage medium, where the readable storage medium includes a big data based power transmission line intelligent monitoring quality inspection method program, where when the big data based power transmission line intelligent monitoring quality inspection method program is executed by a processor, the steps of the big data based power transmission line intelligent monitoring quality inspection method described in any one of the above are implemented.

The invention discloses a big data-based intelligent monitoring quality inspection method, a system and a medium for a power transmission line, wherein a dynamic characteristic organization tree of the power transmission system is generated through comprehensive circuit monitoring information and dynamic power transmission environment monitoring information of a power transmission line section, a dynamic characteristic data set of the power transmission system is extracted, a line facility working condition detection sub-index, a power transmission characteristic quality inspection sub-index, a power transmission line quality inspection sub-index and an aggregation processing are respectively obtained according to the dynamic characteristic data set of the power transmission system, a power transmission line quality inspection total index is obtained, sub-section quality inspection abnormal coefficients are obtained according to the processing of each power transmission line quality inspection sub-index and the power transmission line quality inspection total index, quality inspection abnormal conditions of each power transmission line sub-section in a time section are detected and identified according to a comparison result with a preset threshold value, and early warning is prompted; therefore, quality inspection abnormality judgment is carried out on abnormal result data obtained by quality inspection on the facility working conditions and the power transmission characteristics of all sub-sections of the power transmission line based on the big data, and the technology of quality inspection and abnormality prompt on the facilities and the performances of the power transmission line according to the big data is realized.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.

Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

Claims

1. The intelligent monitoring quality inspection method for the power transmission line based on the big data is characterized by comprising the following steps of:

Processing according to the corresponding transmission line quality inspection sub-indexes and the transmission line quality inspection total indexes of each transmission line sub-section to obtain corresponding sub-section quality inspection abnormal coefficients, comparing the sub-section quality inspection abnormal coefficients with a preset transmission line section quality inspection abnormal threshold value according to the sub-section quality inspection abnormal coefficients, detecting and identifying the quality inspection abnormal condition of each transmission line sub-section in a preset time period, and prompting and early warning;

the processing according to the transmission characteristic quality inspection sub-index and the line facility working condition detection sub-index to obtain a corresponding transmission line quality inspection sub-index of each transmission line sub-section, and performing aggregation processing on the transmission line quality inspection sub-indexes to obtain a transmission line quality inspection total index, including:

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Wherein,for the total index of quality inspection of the transmission line, +.>A transmission line quality inspection sub-index for the ith transmission line sub-segment,for the preset loop interference factor, n is the number of transmission line sub-sections of the preset transmission line section, +.>Is the characteristic coefficient of the ith transmission line sub-section.

2. The intelligent monitoring quality inspection method for power transmission lines based on big data according to claim 1, wherein the collecting circuit integrated monitoring information and power transmission environment dynamic monitoring information of a preset power transmission line section in a preset time period comprises:

3. The intelligent monitoring quality inspection method for the power transmission line based on big data according to claim 2, wherein the generating a power transmission line performance monitoring map according to the comprehensive circuit monitoring information and generating a power transmission system dynamic feature organization tree according to the power transmission line performance monitoring map in combination with the power transmission environment dynamic monitoring information comprises the following steps:

4. The intelligent monitoring quality inspection method for power transmission lines based on big data according to claim 3, wherein the extracting a power transmission system dynamic feature data set according to the power transmission system dynamic feature organizing tree includes a circuit power transmission performance feature data subset, a line facility working condition feature data subset and a power transmission environment feature data subset of each power transmission line sub-section, and the method comprises the following steps:

5. The method for intelligent monitoring and quality inspection of electric transmission line based on big data according to claim 4, wherein the processing according to the subset of electric transmission environment characteristic data and the subset of line facility condition characteristic data to obtain a line facility condition detection sub-index comprises:

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wherein,detecting a sub-index for the line installation condition of the ith transmission line sub-section, < >>、/>、/>、/>Wind disturbance data, air particle dirt data, temperature and humidity data and geological stability data of the ith transmission line sub-section are respectively obtained, 、/>、/>、/>Line layout deviation data, line arc sag data, line facility icing data, tower inclination and vibration data of the ith transmission line sub-section respectively, +.>Is to preset the ring conditionInterference factor (F)>、/>、/>、/>Is a preset characteristic coefficient.

6. The intelligent monitoring quality inspection method for the power transmission line based on big data according to claim 5, wherein the processing according to the power transmission environment characteristic data subset in combination with the circuit power transmission performance characteristic data subset to obtain a power transmission characteristic quality inspection sub-index comprises:

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7. The intelligent monitoring quality inspection method for electric transmission lines based on big data according to claim 6, wherein the processing according to the corresponding sub-index of the quality inspection of the electric transmission line and the total index of the quality inspection of the electric transmission line to obtain the corresponding sub-segment quality inspection anomaly coefficient comprises:

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wherein,detecting abnormal coefficients for sub-segment quality of the ith transmission line sub-segment, < ->Is the total index of the quality inspection of the power transmission line,transmission line quality inspection sub-index for the ith transmission line sub-segment, < >>Is the characteristic coefficient of the ith transmission line sub-section.

8. Big data-based intelligent monitoring quality inspection system for power transmission lines is characterized in that the system comprises: the intelligent monitoring quality inspection system comprises a memory and a processor, wherein the memory comprises a program of an intelligent monitoring quality inspection method of the power transmission line based on big data, and the program of the intelligent monitoring quality inspection method of the power transmission line based on big data realizes the following steps when being executed by the processor:

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9. A computer readable storage medium, wherein the computer readable storage medium includes a big data based power transmission line intelligent monitoring quality inspection method program, and when the big data based power transmission line intelligent monitoring quality inspection method program is executed by a processor, the steps of the big data based power transmission line intelligent monitoring quality inspection method according to any one of claims 1 to 7 are implemented.