CN110688389A - Transformer substation secondary equipment defect cloud management system - Google Patents

Transformer substation secondary equipment defect cloud management system Download PDF

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CN110688389A
CN110688389A CN201910818532.9A CN201910818532A CN110688389A CN 110688389 A CN110688389 A CN 110688389A CN 201910818532 A CN201910818532 A CN 201910818532A CN 110688389 A CN110688389 A CN 110688389A
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defect
analysis
defects
equipment
secondary equipment
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CN110688389B (en
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胡丁文
周君杰
谢露
范禹邑
何俊宏
张西鹏
谢光莉
郑志远
秦昕
覃玲
陈齐
段俊
李航
张媛媛
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State Grid Corp of China SGCC
Binshan Power Supply Co of State Grid Chongqing Electric Power Co Ltd
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State Grid Corp of China SGCC
Binshan Power Supply Co of State Grid Chongqing Electric Power Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention provides a transformer substation secondary equipment defect cloud management system which is characterized in that a secondary equipment database is collected from transformer substation infrastructure, a quick searching system corresponding to signals and loops is constructed by taking a secondary loop as a source, fault searching and analyzing functions are realized, defect eliminating suggestions are given, and defect analysis and evaluation are carried out. The invention can greatly fill the blank of the plate, realize the 'instant scanning and instant use' of the secondary equipment information on the basis of the encoding technical specification of the secondary equipment of the transformer substation, search the same fault history situation, compare the same fault history situation with the field, provide the optimal reference solution, and greatly improve the efficiency and the safety of the work of debugging, overhauling, reconstruction, extension and the like of the transformer substation.

Description

Transformer substation secondary equipment defect cloud management system
Technical Field
The invention relates to the field of electric power application, in particular to a transformer substation secondary equipment defect cloud management system.
Background
With the large-scale construction and production of substations in China, daily maintenance work such as ledgers, drawings, data, reports and the like of secondary equipment of the substations is increasingly heavy, and faults of the secondary equipment occur more frequently. While the defects are treated, the defect eliminating efficiency and the defect eliminating time directly influence the safe and reliable operation of equipment and even a power grid. At this moment, traditional transformer substation secondary equipment operation and maintenance overhauls management means all shows prominently in the aspect of eliminating the defect efficiency and the security quality management and control not enough, and the routine maintenance work is piled up like the mountain, can't in time update to lead to realizing transformer substation secondary circuit and the standing book entry work of the information that bears at present, but still have two aspect problems: firstly, the defects can not be updated and compared synchronously, and the defect eliminating efficiency is reduced in defect eliminating work of the same type of defects; secondly, the defect processing opinions can not be quickly given according to the defect management of the same device, and the defect eliminating time is increased.
Therefore, the cloud management system for the defects of the secondary equipment of the transformer substation is provided, mainly faces to relevant technical personnel such as maintainers, operation and maintenance personnel and power scheduling personnel, and is a necessary tool in operation and maintenance work of the secondary equipment. At present, a system related to cloud management of defects of secondary equipment of a transformer substation is temporarily absent in the transformer substation, fault recurrence and treatment prejudgment are available, and the system belongs to a vacancy block.
Disclosure of Invention
The invention provides a transformer substation secondary equipment defect cloud management system, which is characterized in that a secondary equipment database is collected from transformer substation infrastructure, a quick searching system corresponding to signals and a loop is constructed by taking a secondary loop as a source, fault searching and analyzing functions are realized, defect eliminating suggestions are given, and defect analysis and evaluation are performed. The invention can greatly fill the blank of the plate, realize the 'instant scanning and instant use' of the secondary equipment information on the basis of the encoding technical specification of the secondary equipment of the transformer substation, search the same fault history situation, compare the same fault history situation with the field, provide the optimal reference solution, and greatly improve the efficiency and the safety of the work of debugging, overhauling, reconstruction, extension and the like of the transformer substation.
The invention is realized by the following technical scheme:
a transformer substation secondary equipment defect cloud management system comprises the following systems,
s1, defect reporting system: scanning the preliminary defect information of the identification and statistics by the operation unit through a mobile terminal to acquire and report the information;
s2, defect analysis and identification system: according to the preliminary defect information reported in the defect reporting system, carrying out statistical analysis on the defects, wherein the content of the statistical analysis comprises defect reasons, defect positions and defect severity, screening similar defects according to the analysis result, detecting and identifying the defects, pushing suspected familial defects to a familial defect analysis management module, finally forming a secondary equipment defect analysis report after the defects are analyzed and identified, and storing the secondary equipment defect analysis report to a transformer substation secondary equipment defect cloud management system;
s3, defect handling system: aiming at a defect analysis report in a defect analysis and identification system, formulating a defect disposal scheme, tracking and recording the progress condition of defect disposal, and filing the processed defects into a historical defect library;
s4, defect analysis and evaluation system: performing overall analysis and evaluation on the defect correction, wherein the analysis content comprises comprehensive analysis of the reasons of the generated defects, overall analysis of the defect parts, overall analysis of the severity of the defects, analysis of defect processing time, analysis of defect occurrence rate, analysis of defect elimination rate and analysis of defect elimination time rate; and integrating the equipment information to form a secondary equipment defect analysis report.
Preferably, the input information of the defect reporting system comprises secondary equipment standing book information and equipment defect information, and the output information comprises defect reasons and defect parts; the input information of the defect analysis and identification system comprises secondary equipment ledger information, equipment defect information and defect statistical information, and the output information comprises suspected familial defects, defect analysis and identification conclusions and defect analysis reports; the input information of the defect disposal system comprises equipment defect information, and the output information comprises a defect disposal scheme, a disposal progress and a historical defect library; the input information of the defect analysis and evaluation system comprises secondary equipment standing book information and equipment defect information, and the output defects comprise defect analysis and evaluation results and defect analysis reports.
Preferably, the defect analysis evaluation result comprises a reliability report, and the reliability report comprises a weighted average defect score mu, a reliability statistic threshold value M and a reliability score K of the same type of equipment in the evaluation period1。
Preferably, the weighted average defect score μ of the secondary device over the evaluation period is calculated according to equation (1),
Figure BDA0002186922490000021
in the formula:
unit: evaluation period of one hundred meters
Mu-weighted average defect score of equipment of the same manufacturer and model in the evaluation period;
Q1evaluating the number of general defects of equipment with the same model of the same manufacturer in the period;
Q2evaluating the number of serious defects of the same-type equipment of the same manufacturer in the period;
Q3the number of critical defects of the same-type equipment of the same manufacturer in the evaluation period is calculated;
A1、A2、A3as weighting factors:
general Defect A1＝1；
Serious defect A2＝2；
Critical defect A3＝3；
NS-counting the number of devices of the same model.
The reliability statistical threshold value M of the secondary equipment in the evaluation period is calculated according to the formula (2),
Figure BDA0002186922490000031
in the formula:
unit: evaluation period of one hundred meters
M is reliability statistic threshold value;
S1the number of general defects of all secondary equipment in the year;
S2-the number of serious defects of all secondary equipment in the year;
S3the number of all secondary equipment critical defects in the past year;
D1-evaluating the cycle coverage time (in months);
Djoperation time of jth device (unit is moon)
A1、A2、A3As weighting factors:
general Defect A1＝1；
Serious defect A2＝2；
Critical defect A3＝3；
N-the total secondary equipment statistical number.
Reliability score K of secondary device in evaluation period1Taking values according to the reliability weighted statistic value S, calculating the reliability weighted statistic value S according to a formula (3),
Figure BDA0002186922490000032
in the formula:
s-reliability weighted statistics;
mu-weighted average defect score of products of the same manufacturer and model in the evaluation period;
m is reliability statistic threshold value.
Preferably, the evaluation period is 12 months.
The invention has the following advantages:
1. the defect synchronous updating, inputting, searching and comparing are realized, and the defect eliminating efficiency is greatly improved in the defect eliminating work of the same type of defects;
2. a defect processing scheme is rapidly provided according to the defect management of the same device, so that hidden dangers can be conveniently and rapidly eliminated, and the chain breaking and defect eliminating time is shortened;
3. the cloud management system for the defects of the secondary equipment of the transformer substation is easy to maintain and convenient to operate.
Drawings
FIG. 1 is a schematic structural diagram of a transformer substation secondary equipment defect cloud management system;
FIG. 2 is a working flow diagram of a transformer substation secondary equipment defect cloud management system;
FIG. 3 is a diagram of a defect reporting I/O interface;
FIG. 4 is a schematic view of a defect reporting system interface display;
FIG. 5 is a diagram of a defect-analysis-approved I/O interface;
FIG. 6 is a schematic view of a defect analysis qualification system interface display;
FIG. 7 is a defect handling I/O interface;
FIG. 8 is a defect management system interface display;
FIG. 9 is a diagram of a defect analysis evaluation I/O interface;
FIG. 10 is a schematic view of a defect analysis and evaluation system interface display;
fig. 11 is a transformer substation secondary equipment defect cloud management system implementation method.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Fig. 1 provides a schematic structural diagram of a preferred embodiment of the substation secondary equipment defect cloud management system of the present invention.
The operation mode of the transformer substation secondary equipment defect cloud management system is that by means of a secondary equipment ledger database, a software development and coding technology and the like, when a secondary circuit has a defect, fault information is automatically submitted to the transformer substation secondary equipment defect cloud management system, the system analyzes the defect reason and the defect position according to the reported defect information, and classifies and counts the defect; according to the defect information and the historical defect records (including the same type defect records), a plurality of defect elimination schemes can be provided, and the defect elimination time and progress are recorded; the state evaluation quantification after the defect elimination of the equipment is realized, and the running state of the equipment is scientifically and reliably reflected.
The transformer substation secondary equipment defect cloud management system mainly comprises four processes: the method comprises the following steps of defect reporting, defect analysis and identification, defect treatment and defect analysis and evaluation, as shown in fig. 2:
① report of defect
The defects are preliminarily identified and counted by an operation unit, and the information of the equipment defects is acquired and reported through a two-dimensional code of a transformer substation secondary equipment defect cloud management system, namely a mobile terminal scanning device, as shown in figure 3, and a system interface is displayed as shown in figure 4.
An input/output interface:
1) required input data: secondary equipment ledger information and equipment defect information;
2) outputting data: defect information such as defect cause and defect position;
② Defect analysis determination
And carrying out whole-network defect statistics and analysis on the defects according to the reported primary defect identification and statistical information, wherein the statistical content comprises the reasons of the generated defects, the defect positions and the defect severity, screening similar defects according to the analysis result, and detecting and identifying the defects. Meanwhile, equipment information such as equipment model, software version and the like is integrated, the relevance of equipment defects, manufacturers, models, software versions and operation years is analyzed, familial defects are automatically screened, and suspected familial defects are pushed to a familial defect analysis management module. And finally forming a secondary equipment defect analysis report after the defect analysis is confirmed, and storing the related information to a transformer substation secondary equipment defect cloud management system for use by related application modules, as shown in fig. 5, and displaying a system interface as shown in fig. 6.
An input/output interface:
1) required input data: secondary equipment account information, preliminary defect information and preliminary defect statistical information;
2) outputting data: suspected familial defects, defect analysis and identification conclusions and defect analysis reports.
③ Defect handling
And (3) formulating a defect disposal scheme according to the common defect information, verifying the feasibility and reliability of the defect disposal scheme, tracking and recording the defect disposal progress condition, filing the processed defects into a historical defect library, and displaying a system interface as shown in fig. 7 and 8.
An input/output interface:
1) required input data: and defect information.
2) Outputting data: defect handling scheme, handling progress, historical defect library, as in fig. 5.
④ evaluation of Defect analysis
The common defect analysis and evaluation mainly realizes statistical analysis on the defects of the secondary equipment and overall analysis and evaluation on the defect correction condition. The analysis content comprises the following steps: the method comprises the steps of comprehensive analysis of the reasons of the generated defects, integral analysis of the defect parts, integral analysis of the severity of the defects, defect processing time analysis, defect occurrence rate analysis, defect elimination time rate analysis and the like. And synthesizing equipment information such as the equipment model, the software version and the like, analyzing the relevance of the equipment defect, the manufacturer, the model, the software version and the operation life, providing data support for the maintenance and the reconstruction of the secondary equipment, and forming a secondary equipment defect analysis report, wherein a system interface is displayed as shown in fig. 9 and 10.
An input/output interface:
1) required input data: secondary equipment ledger information, equipment defect information.
2) An output interface: fig. 6 shows the evaluation results of defect analysis and the report of defect analysis.
The output defect analysis and evaluation structure also comprises the reliability evaluation of equipment with the same model: in the evaluation period, the equipment of the same model of a certain manufacturer has high failure rate and serious failure property, and the overall reliability of the equipment of the same model is poor.
1) Calculating the weighted average defect score mu of equipment with the same model of a certain manufacturer in an evaluation period, dividing the equipment according to the defect types of the equipment, and carrying out weighted statistics according to different weights of general, serious and critical defects, wherein the weighted average defect score mu is shown in the following table 1 and formula:
TABLE 1 weighting factor for Defect class
Serial number Grade of defect Weight factor
1 General defects 1
2 Serious defect 2
3 Critical defect 3
Figure BDA0002186922490000061
In the formula:
unit: evaluation period of one hundred meters
Mu-weighted average defect score of a certain type of equipment in an evaluation period;
q1-the number of general defects of a device of the same model in an evaluation period;
q2-the number of serious defects of a certain type of equipment in an evaluation period;
q3-the number of critical defects of a certain type of equipment in an evaluation period;
a1, a2, A3 are weighting factors:
general defect a1 ═ 1;
critical defect a2 ═ 2;
critical defect a3 ═ 3;
NS-statistical number of devices of the same model. The evaluation statistical period was treated by 1 year (12 months).
The reliability statistic threshold value calculation method comprises the following steps:
the reliability statistic threshold value M is obtained by calculating the defect accumulative weighted average defect score of all secondary equipment in the past year in a formula:
Figure BDA0002186922490000062
in the formula:
unit: evaluation period of one hundred meters
M is reliability statistic threshold value;
s1-the number of general defects of all secondary devices in the past year;
s2-the number of serious defects of all secondary devices in the past year;
s3-the critical defect frequency of all secondary equipment throughout the year;
d1 — evaluation cycle coverage time (in months);
dj-operation time of the jth device (unit is moon)
A1, a2, A3 are weighting factors:
general defect a1 ═ 1;
critical defect a2 ═ 2;
critical defect a3 ═ 3;
N-Total Secondary device statistics.
The device reliability score K1 is evaluated according to the reliability weighted statistic S, as shown in the formula:
Figure BDA0002186922490000071
in the formula:
s-reliability weighted statistics;
mu-weighted average defect score of equipment of the same model of a certain manufacturer in an evaluation period;
m is reliability statistic threshold value.
In the specific application of the embodiment:
(1) required input data: unit information, primary equipment information, protection and automation basic ledger information, device-related alarm information, reasons and processing flows, equipment defect information, and online equipment alarm information.
(2) And outputting a generated defect statistical analysis index and a defect analysis data result.
(3) And the whole process management such as defect identification and reporting, large-range statistics and analysis confirmation, treatment scheme formulation verification and implementation, common defect analysis evaluation and the like is completed. After the personnel carry out defect collection through mobile terminal, count the screening to suspected defect equipment in the whole network, synthesize equipment information such as defect equipment model, integrated circuit board information, software version, multidimension degree statistical analysis secondary equipment defect condition combines expert's analysis and experimental verification, carries out the defect affirmation, can carry out familial defect screening simultaneously. And after the defects are marked as familial defects, pushing the defects into a related flow of a familial defect management functional submodule. And formulating a treatment scheme according to the defect identification information and the historical defect treatment condition, verifying, tracking the defect treatment progress, and evaluating and summarizing after treatment is finished. And archiving the processed defects into a historical defect library. And periodically performing defect statistical analysis and evaluation, evaluating the influence range and degree of various defects according to the defect distribution data of the equipment, making a maintenance plan for reference of the state maintenance module, and performing equipment state evaluation and the like for the state evaluation module.
This embodiment has the following benefits:
①, establishing a protection and automation data integration model, adopting a unified object modeling principle, defining data integrity rules, standardizing the attributes, behaviors, operation authorities and the like of the data model, establishing a platform account and defect information protection and automation defect data integration model, and providing data support for equipment evaluation.
②, basic data acquisition is realized by means of an intelligent mobile terminal device, electronic, standardized and automatic entry of secondary device defect information is realized based on the field mobile terminal device, automatic synchronization is realized with a secondary device evaluation center background, data circulation links are reduced, and the normalization and integrity of basic information are improved.
③, the function realizes statistics of full voltage level relay protection and automation related secondary equipment defect information, including defect rate, defect reason, defect position, defect severity, responsibility analysis, and the like, and realizes overall analysis and evaluation of defect conditions, including comprehensive analysis of defect reason, defect position overall analysis, defect severity overall analysis, defect processing time analysis, defect occurrence rate analysis, defect elimination timeliness analysis, and analysis of device branch information such as comprehensive device model, software version, and the like, and analysis of device defect relativity of manufacturer, model, software version, and operation age, and provides data support for secondary equipment repair and reconstruction, and forms a secondary equipment defect analysis report, as shown in fig. 11.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (7)

1. A transformer substation secondary equipment defect cloud management system is characterized by comprising the following systems,
s1, defect reporting system: scanning the preliminary defect information of the identification and statistics by the operation unit through a mobile terminal to acquire and report the information;
s2, defect analysis and identification system: according to the preliminary defect information reported in the defect reporting system, carrying out statistical analysis on the defects, wherein the content of the statistical analysis comprises defect reasons, defect positions and defect severity, screening similar defects according to the analysis result, detecting and identifying the defects, pushing suspected familial defects to a familial defect analysis management module, finally forming a secondary equipment defect analysis report after the defects are analyzed and identified, and storing the secondary equipment defect analysis report to a transformer substation secondary equipment defect cloud management system;
s3, defect handling system: aiming at a defect analysis report in a defect analysis and identification system, formulating a defect disposal scheme, tracking and recording the progress condition of defect disposal, and filing the processed defects into a historical defect library;
s4, defect analysis and evaluation system: performing overall analysis and evaluation on the defect correction, wherein the analysis content comprises comprehensive analysis of the reasons of the generated defects, overall analysis of the defect parts, overall analysis of the severity of the defects, analysis of defect processing time, analysis of defect occurrence rate, analysis of defect elimination rate and analysis of defect elimination time rate; and integrating the equipment information to form a secondary equipment defect analysis report.
2. The cloud management system for defects of secondary equipment of a substation according to claim 1, wherein the input information of the defect reporting system comprises secondary equipment standing book information and equipment defect information, and the output information comprises defect reasons and defect positions; the input information of the defect analysis and identification system comprises secondary equipment ledger information, equipment defect information and defect statistical information, and the output information comprises suspected familial defects, defect analysis and identification conclusions and defect analysis reports; the input information of the defect disposal system comprises equipment defect information, and the output information comprises a defect disposal scheme, a disposal progress and a historical defect library; the input information of the defect analysis and evaluation system comprises secondary equipment standing book information and equipment defect information, and the output defects comprise defect analysis and evaluation results and defect analysis reports.
3. The substation secondary equipment defect cloud management system of claim 2, wherein the defect analysis and evaluation result comprises a reliability report, and the reliability report comprises a weighted average defect score mu, a reliability statistical threshold value M and a reliability score K of the same type of equipment in an evaluation period1。
4. The substation secondary equipment defect cloud management system of claim 3, wherein the weighted average defect score μ of the secondary equipment in the evaluation period is calculated according to formula (1),
Figure FDA0002186922480000011
in the formula:
unit: evaluation period of one hundred meters
Mu-weighted average defect score of equipment of the same manufacturer and model in the evaluation period;
Q1evaluating the number of general defects of equipment with the same model of the same manufacturer in the period;
Q2evaluating the number of serious defects of the same-type equipment of the same manufacturer in the period;
Q3the number of critical defects of the same-type equipment of the same manufacturer in the evaluation period is calculated;
A1、A2、A3as weighting factors:
general Defect A1＝1；
Serious defect A2＝2；
Critical defect A3＝3；
NS-counting the number of devices of the same model.
5. The substation secondary equipment defect cloud management system according to claim 3, wherein the reliability statistical threshold value M of the secondary equipment in the evaluation period is calculated according to formula (2),
Figure FDA0002186922480000021
in the formula:
unit: evaluation period of one hundred meters
M is reliability statistic threshold value;
S1the number of general defects of all secondary equipment in the year;
S2-the number of serious defects of all secondary equipment in the year;
S3the number of all secondary equipment critical defects in the past year;
D1-evaluating the cycle coverage time (in months);
Djoperation time of jth device (unit is moon)
A1、A2、A3As weighting factors:
general Defect A1＝1；
Serious defect A2＝2；
Critical defect A3＝3；
N-the total secondary equipment statistical number.
6. The cloud management system for defects of secondary equipment of transformer substation according to claim 3, wherein the reliability score K of the secondary equipment in the evaluation period1Taking values according to the reliability weighted statistic value S, calculating the reliability weighted statistic value S according to a formula (3),
Figure FDA0002186922480000031
in the formula:
s-reliability weighted statistics;
mu-weighted average defect score of products of the same manufacturer and model in the evaluation period;
m is reliability statistic threshold value.
7. A substation secondary equipment defect cloud management system according to any one of claims 3-6, wherein the evaluation period is 12 months.
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CN112834865A (en) * 2020-12-30 2021-05-25 淮北工科检测检验有限公司 Quick finder for secondary circuit fault of power system
CN113450302A (en) * 2020-03-24 2021-09-28 东莞新能德科技有限公司 Tab detection method and device based on machine learning and computer readable storage medium
CN113627802A (en) * 2021-08-13 2021-11-09 西安热工研究院有限公司 Method for calculating number of wind field fault defect-eliminating shutdown stations on line based on defect list
CN114399203A (en) * 2022-01-17 2022-04-26 国网冀北电力有限公司廊坊供电公司 Transformer substation maintenance task processing method and system, terminal device and storage medium

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