CN117556998A

CN117556998A - Predictive inspection method and system for transmission lines

Info

Publication number: CN117556998A
Application number: CN202311573322.0A
Authority: CN
Inventors: 霍福广; 王丽峰; 崔艳东; 丁祖善; 王一丁
Original assignee: State Grid Xuzhou Power Supply Co
Current assignee: State Grid Xuzhou Power Supply Co
Priority date: 2023-11-23
Filing date: 2023-11-23
Publication date: 2024-02-13

Abstract

The invention discloses a predictive inspection method and system for power transmission lines, and relates to the field of power line inspection. The method includes constructing a line operation information database; predicting the operation trend of the target transmission line based on the line operation information database and determining the line operation prediction value; decomposing the target transmission line according to inspection items to generate multiple inspection modules; Synchronize the line operation prediction values to multiple inspection modules to formulate N inspection plans; optimize the N inspection plans based on the historical fault record set of the target transmission line to determine the optimal inspection plan; follow the optimal inspection plan The plan is to conduct patrol inspections of target transmission lines. It solves the technical problems of high cost, low efficiency, poor accuracy and insufficient safety in inspection work in the existing technology, realizes real-time monitoring, fault warning and predictive maintenance of transmission lines, and achieves the goal of improving inspection efficiency. technical effects.

Description

Predictive inspection method and system for power transmission line

Technical Field

The invention relates to the field of power line inspection, in particular to a predictive inspection method and a predictive inspection system for a power transmission line.

Background

In an electric power system, a transmission line is an important component, and the running state of the transmission line directly affects the stability and reliability of the electric power system. However, the transmission line often needs to traverse a region with complex terrain and severe environment, and thus various problems such as aging, damage, theft and the like of the line easily occur. In order to ensure the normal operation of the transmission line, regular inspection and maintenance are required. However, conventional inspection methods often have problems. First, the inspection requires a lot of manpower and material resources and is inefficient. Second, for some potential problems, it is often not possible to discover and handle in time, resulting in failure. Therefore, a more efficient and accurate predictive inspection method and system is needed to address these issues.

Disclosure of Invention

The embodiment of the application provides a predictive inspection method and a predictive inspection system for a power transmission line, which solve the technical problems of high cost, low efficiency, poor precision and insufficient safety in inspection work in the prior art.

In view of the above problems, embodiments of the present application provide a predictive inspection method and system for a power transmission line.

In a first aspect of an embodiment of the present application, a predictive inspection method for a power transmission line is provided, where the method includes:

constructing a line operation information base, wherein the line operation information base is constructed and obtained based on historical operation data of a target power transmission line;

predicting the operation trend of the target power transmission line according to the line operation information base, and determining a line operation predicted value;

decomposing a target power transmission line according to the inspection items to generate a plurality of inspection modules;

n inspection schemes are formulated by synchronizing the line operation predicted value to the plurality of inspection modules, wherein N is an integer greater than 1;

optimizing the N inspection schemes based on a historical fault record set of the target power transmission line, and determining an optimal inspection scheme;

and carrying out inspection on the target power transmission line according to the optimal inspection scheme.

In a second aspect of embodiments of the present application, a predictive inspection system for a power transmission line is provided, the system comprising:

the data module is used for constructing a line operation information base which is constructed based on historical operation data of the target transmission line;

the prediction module is used for predicting the operation trend of the target power transmission line according to the line operation information base and determining a line operation predicted value;

the decomposition module is used for decomposing the target power transmission line according to the inspection items to generate a plurality of inspection modules;

the scheme module is used for preparing N inspection schemes by synchronizing the line operation predicted value to the plurality of inspection modules, wherein N is an integer greater than 1;

the optimizing module is used for optimizing the N inspection schemes based on a historical fault record set of the target power transmission line and determining an optimal inspection scheme;

and the inspection module is used for inspecting the target power transmission line according to the optimal inspection scheme.

One or more technical solutions provided in the present application have at least the following technical effects or advantages:

firstly, a line operation information base is constructed by collecting historical operation data of a target power transmission line. And then, according to the line operation information base, predicting the operation trend of the target power transmission line, and determining the predicted value of the line operation. And then decomposing the target power transmission line according to the inspection items to generate a plurality of inspection modules. And then synchronizing the line operation predicted value into the inspection modules, and making N inspection schemes, wherein N is an integer greater than 1. And then, optimizing the N inspection schemes based on the historical fault record set of the target power transmission line, and determining an optimal inspection scheme. And finally, carrying out inspection on the target power transmission line according to the determined optimal inspection scheme. The technical problems of high cost, low efficiency, poor precision and insufficient safety existing in the inspection work in the prior art are solved, the real-time monitoring, fault early warning and predictive maintenance of the power transmission line are realized, and the technical effect of improving the inspection efficiency is achieved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of a predictive inspection method for a power transmission line according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a predictive inspection system for a power transmission line according to an embodiment of the present application.

Reference numerals illustrate: the system comprises a data module 11, a prediction module 12, a decomposition module 13, a scheme module 14, an optimizing module 15 and a checking module 16.

Detailed Description

By providing the predictive inspection method and the predictive inspection system for the power transmission line, the technical problems of high cost, low efficiency, poor precision and insufficient safety in inspection work in the prior art are solved.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present application based on the embodiments herein.

It should be noted that the terms "comprises" and "comprising," along with any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

As shown in fig. 1, an embodiment of the present application provides a predictive inspection method for a power transmission line, where the method includes:

with the development of scientific technology, especially the continuous development of new technologies such as information technology, communication technology, sensor technology, etc., a new solution is provided for predictive inspection of transmission lines. By utilizing the technologies, the real-time monitoring, fault early warning and predictive maintenance of the power transmission line can be realized, the inspection efficiency and precision are improved, and the inspection cost and risk are reduced.

The construction of the line operation information base is the first step of the whole predictive inspection process, and the line operation information base is a database for storing the operation information of the power transmission line, is constructed based on the historical operation data of the target power transmission line, and comprises various parameter information of the line operation, such as current, voltage, temperature, humidity and the like, and information of the operation state, the historical fault record and the like of the line.

Further, the line operation information base is constructed based on the historical operation data of the target power transmission line, and the method comprises the following steps:

monitoring real-time operation data of a target power transmission line, and constructing an operation data file according to the real-time operation data;

extracting historical operation data based on the operation data file, and formulating a line state index of a target line;

associating the historical operation data with the line state indexes, and drawing an operation information table based on the associated data;

and integrating the data of the operation information table to construct the line operation information base.

Real-time operation data of the target transmission line, such as current, voltage, temperature, humidity and the like, can be obtained through an online monitoring system or other data acquisition means. These data need to be processed and analyzed to build the operational data archive. The operation data file is important data for recording real-time operation data of the target transmission line, and can provide real-time information of the operation condition of the line. Based on the operation data file, historical operation data can be extracted, and line state indexes of the target line, including load conditions, abnormal conditions, fault records and the like of the line, can be formulated, so that the operation state and potential problems of the line can be identified. Through analysis of historical operation data, the association relation with the line state indexes can be found, and a model is built for prediction and judgment. Based on the operation information table drawn by the associated data, the operation condition and the historical change trend of the line can be intuitively displayed, and decision support is provided for management staff. By cleaning, sorting and analyzing the data in the operation information table, redundant and erroneous data can be removed, and the accuracy and the integrity of the data are ensured. Meanwhile, through integration and induction of data, the operation information table can be converted into a line operation information base, and data support is provided for follow-up predictive inspection.

by analyzing the historical data and the real-time data in the line operation information base, the operation condition and the change trend of the line can be known, and the future operation condition can be predicted, so that the predicted value of the line can be determined. The line operation predicted value is a predicted result of the future operation condition of the target power transmission line and is obtained by analyzing historical data and real-time data in a line operation information base. The line operation prediction value may reflect the operation state and trend of the line at different time points, such as the values of parameters of current, voltage, temperature, etc.

Further, the operation trend of the target transmission line is predicted according to the line operation information base, and a line operation predicted value is determined, and the method comprises the following steps:

drawing a line operation curve graph based on the operation information table in the line operation information base;

calculating the change rate of a plurality of operation data based on the line operation curve graph, and determining the stability coefficient of the plurality of operation data;

judging whether the stability coefficient is in a preset interval or not, if so, regarding the stability coefficient as the running trend of the target power transmission line to be stable, and adding the stability coefficient into the line running predicted value;

if not, the operation trend of the target power transmission line is regarded as unstable, and an abnormal mark is added to the stability coefficient.

First, a line operation graph is drawn based on data in an operation information table. The line operation curve graph can reflect the operation states of the target transmission line in different time periods, such as the change trend of parameters of current, voltage, temperature and the like. By observing the line operation curve graph, the operation condition and the change trend of the line can be better known, and a foundation is provided for subsequent data processing and analysis. Then, the change rates of the plurality of operation data are calculated based on the line operation graph. The change rates can reflect the dynamic change conditions of line operation data, such as the change trend of parameters of current, voltage, temperature and the like. By calculating the rate of change of these parameters, the operating state and trend of the line can be known. Next, stability coefficients for the plurality of operational data are determined. The stability coefficient can reflect the stability and reliability of the line operation data, and is one of the important indexes for judging the line operation state. By analyzing the change rate of the line operation data and the history data, the stability coefficient of each parameter can be calculated. Then, whether the stability coefficient is in a preset interval is judged. And if the stability coefficient is in the preset interval, the operation trend of the target power transmission line can be regarded as stable. At this time, the stability factor may be added to the line operation prediction value, providing a reference for the subsequent inspection plan and fault prevention. If the stability coefficient is not within the preset interval, the operation trend of the target power transmission line can be regarded as unstable. At this time, it is necessary to add an abnormal identifier to the stability coefficient, and take corresponding measures to repair and prevent. This helps to discover potential problems and faults in time, improving the reliability and stability of the line.

by decomposing the target power transmission line, the inspection work can be subdivided into a plurality of modules, and each module corresponds to different inspection items and attention points. This helps improving the fineness and the pertinence of inspection work, reduces the risk of missing and false detection. Specifically, according to the characteristics of the target transmission line and the inspection requirements, the line can be decomposed according to the inspection items. These inspection items may include aspects of the line body, accessory facilities, environmental conditions, and the like. For each inspection project, a corresponding inspection module can be formulated and corresponding inspection tasks are allocated.

further, by synchronizing the line operation prediction value to the plurality of inspection modules to make N inspection schemes, the method includes:

traversing the line operation predicted value to judge whether the abnormal mark exists or not;

if the abnormal identification exists, carrying out necessary inspection according to the operation data corresponding to the abnormal identification, and making a necessary inspection item set;

if the running data does not exist, carrying out random inspection on the running data in the target power transmission line, and formulating a random inspection item set;

and arranging and combining the necessary inspection item set and the random inspection item set according to the inspection difficulty, and making the N inspection schemes.

By checking the line operation prediction value, it is possible to determine whether or not an abnormality flag exists. If an abnormal mark exists, the running state of the line is possibly unstable or has potential problems, and necessary inspection and attention are required. Specifically, if an abnormal identifier exists, a necessary inspection item set can be formulated according to the operation data corresponding to the abnormal identifier. The necessary set of inspection items includes specific inspection tasks and points of interest for the anomaly identification to ensure that potential problems are discovered and repaired in a timely manner. If the abnormal identification does not exist in the line operation predicted value, the operation data in the target power transmission line can be randomly inspected and a random inspection item set is formulated. The random inspection can cover the whole line and perform routine inspection and monitoring on each inspection item. Thus, stable operation of the circuit can be ensured, and potential problems can be found in time. After the necessary inspection item set and the random inspection item set are formulated, they can be arranged and combined according to the inspection difficulty to formulate N inspection schemes. The feasibility and efficiency of different inspection schemes should be considered in the permutation and combination to ensure reasonable allocation and utilization of resources.

further, the N inspection schemes are optimized based on the historical fault record set of the target power transmission line, and an optimal inspection scheme is determined, and the method comprises the following steps:

extracting fault data of a target power transmission line in a historical period to generate a historical fault record set, wherein the historical fault record set comprises chemical fault data and physical fault data;

generating a fault sequence by carrying out serialization processing on the chemical fault data and the physical fault data;

and sequentially carrying out matching adjustment on the N inspection schemes according to the fault sequence, and selecting the inspection scheme with the first order as the optimal inspection scheme to output.

By extracting and processing the historical fault data, the fault mode and the occurrence rule of the line can be known, and an important reference is provided for formulating an optimal inspection scheme. Specifically, first, fault data of a target power transmission line in a history period needs to be extracted, and a history fault record set is generated. The historical fault record set contains chemical fault data and physical fault data. The chemical fault data can reflect the conditions of line material change, corrosion and the like, and the physical fault data can reflect the changes of the structure and mechanical properties of the line. By serializing the chemical fault data and the physical fault data, a fault sequence can be generated. The fault sequence can reflect the development process and the change trend of the line fault. And then, sequentially carrying out matching adjustment on the N inspection schemes according to the fault sequence, and selecting the inspection scheme with the first order as the optimal inspection scheme for output. In the matching adjustment process, each inspection scheme can be evaluated and optimized according to the historical fault data and the current line operation predicted value. Thereby being beneficial to selecting a scheme which better meets the actual condition and the inspection requirement, and improving the accuracy and the effectiveness of the inspection work. By optimizing and matching the historical fault record set with N inspection schemes, the optimal inspection scheme can be determined. The optimal inspection scheme can better adapt to the actual condition and fault occurrence rule of the circuit, improve the efficiency and quality of inspection work, and reduce the risk of power interruption. Meanwhile, by executing and monitoring the optimal inspection scheme, the inspection plan and the resource allocation can be further optimized, and the inspection cost and the manpower investment are reduced.

Further, the method further comprises:

performing weight distribution on the chemical fault data and the physical fault data based on the operation influence coefficient to generate a weight distribution result;

performing fault influence calculation on the chemical fault data and the physical fault data based on the weight distribution result to generate a plurality of chemical fault influence coefficients and a plurality of physical fault influence coefficients;

and according to the plurality of chemical fault influence coefficients, the plurality of physical fault influence coefficients perform serialization processing on the chemical fault data and the physical fault data to generate the fault sequence.

Weight distribution is carried out according to the influence degree of chemical faults and physical faults on line operation, and weight distribution results are generated to reflect the importance degree of the chemical faults and the physical faults on line operation stability. Specifically, chemical fault data and physical fault data in a historical fault record set are collected, and then corresponding evaluation standards and calculation methods are formulated according to the characteristics and the influence degree of the data. For example, methods such as statistical analysis, mathematical modeling, etc. can be combined by expert evaluation, case analysis, etc. Next, according to these criteria and calculation methods, the operational impact coefficients of the respective chemical and physical faults can be calculated. Finally, according to the operation influence coefficients, weight distribution can be carried out on the chemical fault data and the physical fault data, and a weight distribution result is generated. And selecting corresponding chemical fault data and physical fault data according to the weights of the chemical faults and the physical faults in the weight distribution results. Then, based on these data and a preset calculation method, the influence coefficients of the respective chemical faults and physical faults can be calculated. These impact coefficients may reflect the extent to which chemical and physical faults affect the operational stability of the line. For the calculation of the chemical failure influence coefficient, factors such as the frequency, duration, involved line sections or equipment and the like of occurrence of the chemical failure and influence of the chemical failure on the line material, running performance and the like can be considered. For the calculation of the physical fault influence coefficient, factors such as the type, severity, occurrence position, duration and the like of the physical fault and influence of the physical fault on the mechanical performance, the electrical performance and the like of the circuit can be considered. And sequencing the chemical fault data and the physical fault data according to the plurality of chemical fault influence coefficients and the plurality of physical fault influence coefficients. The ordering may be based on the magnitude of the impact coefficient or may be based on other factors, such as the severity of the fault, the frequency of occurrence, etc. After the sorting is completed, the chemical fault data and the physical fault data can be sorted and summarized according to a certain rule to generate a fault sequence. The fault sequence can reflect the development process and the change trend of the line fault and provide reference for the establishment and optimization of the follow-up inspection scheme. By analyzing and monitoring the fault sequence, the inspection plan and the resource allocation can be further optimized, and the efficiency and the quality of inspection work are improved.

The inspection of the target transmission line according to the optimal inspection scheme is the last step of realizing predictive inspection, so that the accuracy and the effectiveness of inspection work can be ensured, potential problems and faults can be found in time, and the stable operation of the power system can be ensured. Specifically, according to the inspection task and the attention point formulated in the optimal inspection scheme, inspection can be performed on the target transmission line. The process is carried out according to the requirements of the inspection time, the place, the operation method and the like specified in the scheme, so that the accuracy and the effectiveness of the inspection work are ensured. By carrying out inspection according to the optimal inspection scheme, potential problems and faults can be found in time, and corresponding repair measures are adopted for repair. This helps to reduce the risk of power interruption and to improve the stability and reliability of the power system. Meanwhile, by monitoring and feeding back inspection, inspection plans and resource allocation can be further optimized, and the efficiency and quality of inspection work are improved.

In summary, the embodiments of the present application have at least the following technical effects:

Example two

Based on the same inventive concept as the predictive inspection method for the power transmission line in the foregoing embodiment, as shown in fig. 2, the present application provides a predictive inspection system for the power transmission line, and the system and method embodiments in the embodiments of the present application are based on the same inventive concept. Wherein, the system includes:

the system comprises a data module 11, a prediction module 12, a decomposition module 13, a scheme module 14, an optimizing module 15 and a checking module 16.

The data module 11 is used for constructing a line operation information base, and the line operation information base is constructed based on historical operation data of a target power transmission line;

the prediction module 12 is configured to predict an operation trend of the target power transmission line according to the line operation information base, and determine a line operation predicted value;

the decomposing module 13 is used for decomposing the target power transmission line according to the inspection items to generate a plurality of inspection modules;

a scheme module 14, where the scheme module 14 is configured to formulate N routing inspection schemes by synchronizing the line operation prediction value to the plurality of routing inspection modules, where N is an integer greater than 1;

the optimizing module 15 is used for optimizing the N inspection schemes based on the historical fault record set of the target power transmission line, and determining an optimal inspection scheme;

and the inspection module 16 is used for inspecting the target transmission line according to the optimal inspection scheme by inspection module 16.

Further, the data module 11 is configured to perform the following method:

Further, the prediction module 12 is configured to perform the following method:

Further, the scheme module 14 is configured to perform the following method:

Further, the optimizing module 15 is configured to perform the following method:

It should be noted that the sequence of the embodiments of the present application is merely for description, and does not represent the advantages and disadvantages of the embodiments. And the foregoing description has been directed to specific embodiments of this specification. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.

The specification and drawings are merely exemplary of the application and are to be regarded as covering any and all modifications, variations, combinations, or equivalents that are within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims

1. A predictive inspection method for transmission lines, characterized in that the method includes:

Construct a line operation information database, which is constructed based on the historical operation data of the target transmission line;

Predict the operation trend of the target transmission line according to the line operation information database and determine the line operation prediction value;

Decompose the target transmission lines according to inspection items and generate multiple inspection modules;

Formulate N inspection plans by synchronizing the line operation prediction values to the multiple inspection modules, where N is an integer greater than 1;

Optimize the N inspection plans based on the historical fault record set of the target transmission line and determine the optimal inspection plan;

Conduct inspections on target transmission lines according to the optimal inspection plan.

2. The method of claim 1, wherein the line operation information database is constructed based on historical operation data of the target transmission line, and the method includes:

Monitor the real-time operation data of the target transmission line and build an operation data file based on the real-time operation data;

Extract historical operating data based on the operating data file and formulate line status indicators for the target line;

Associate the historical operating data with the line status indicator, and draw an operating information table based on the associated data;

The operation information table is integrated with data to construct the line operation information database.

3. The method according to claim 2, characterized in that the operation trend of the target transmission line is predicted according to the line operation information database and the line operation prediction value is determined. The method includes:

Draw a line operation curve based on the operation information table in the line operation information database;

Calculate the change rate of multiple operating data based on the line operating curve graph, and determine the stability coefficients of the multiple operating data;

Determine whether the stability coefficient is within a preset interval. If so, the operation trend of the target transmission line is deemed to be stable, and the stability coefficient is added to the line operation prediction value;

If not, the operating trend of the target transmission line is deemed to be unstable, and an abnormality flag is added to the stability coefficient.

4. The method of claim 3, wherein N inspection plans are formulated by synchronizing the line operation prediction values to the plurality of inspection modules, and the method includes:

Traverse the line operation prediction values to determine whether the abnormality identification exists;

If it exists, perform necessary inspections based on the operating data corresponding to the abnormal identification and formulate a set of necessary inspection items;

If it does not exist, conduct random inspections of the operation data in the target transmission line and formulate a random inspection item set;

The necessary inspection item set and the random inspection item set are arranged and combined according to the difficulty of inspection, and the N inspection plans are formulated.

5. The method of claim 1, wherein the N inspection plans are optimized based on the historical fault record set of the target transmission line to determine the optimal inspection plan. The method includes:

Extract the fault data of the target transmission line within the historical period to generate a historical fault record set, where the historical fault record set includes chemical fault data and physical fault data;

Generate a fault sequence by serializing the chemical fault data and the physical fault data;

The N inspection plans are matched and adjusted in sequence according to the fault sequence, and the inspection plan with the first order is selected as the optimal inspection plan for output.

6. The method of claim 5, wherein the method includes:

Perform weight distribution on the chemical fault data and the physical fault data based on the operating influence coefficient, and generate a weight distribution result;

Perform fault impact calculations on the chemical fault data and the physical fault data based on the weight distribution results to generate multiple chemical fault impact coefficients and multiple physical fault impact coefficients;

According to the plurality of chemical fault influence coefficients and the plurality of physical fault influence coefficients, the chemical fault data and the physical fault data are serialized to generate the fault sequence.

7. A predictive inspection system for transmission lines, characterized in that the system includes:

A data module, the data module is used to construct a line operation information database, which is constructed based on the historical operation data of the target transmission line;

A prediction module, the prediction module is used to predict the operation trend of the target transmission line based on the line operation information database and determine the line operation prediction value;

A decomposition module, which is used to decompose the target transmission line according to inspection items and generate multiple inspection modules;

A plan module, which is used to formulate N inspection plans by synchronizing the line operation prediction values to the plurality of inspection modules, where N is an integer greater than 1;

An optimization module, which is used to optimize the N inspection plans based on the historical fault record set of the target transmission line and determine the optimal inspection plan;

An inspection module is used to inspect the target transmission line according to the optimal inspection plan.