CN110688389B - Cloud management system for defects of secondary equipment of transformer substation - Google Patents
Cloud management system for defects of secondary equipment of transformer substation Download PDFInfo
- Publication number
- CN110688389B CN110688389B CN201910818532.9A CN201910818532A CN110688389B CN 110688389 B CN110688389 B CN 110688389B CN 201910818532 A CN201910818532 A CN 201910818532A CN 110688389 B CN110688389 B CN 110688389B
- Authority
- CN
- China
- Prior art keywords
- defect
- analysis
- equipment
- defects
- secondary equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000007547 defect Effects 0.000 title claims abstract description 323
- 238000004458 analytical method Methods 0.000 claims abstract description 84
- 238000011156 evaluation Methods 0.000 claims abstract description 54
- 230000008030 elimination Effects 0.000 claims description 11
- 238000003379 elimination reaction Methods 0.000 claims description 11
- 238000007619 statistical method Methods 0.000 claims description 8
- 238000012545 processing Methods 0.000 claims description 7
- 238000012216 screening Methods 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 2
- 230000002194 synthesizing effect Effects 0.000 claims description 2
- 239000012088 reference solution Substances 0.000 abstract description 2
- 238000007726 management method Methods 0.000 description 27
- 238000012423 maintenance Methods 0.000 description 8
- 238000000034 method Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 230000008901 benefit Effects 0.000 description 3
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000010972 statistical evaluation Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000001131 transforming effect Effects 0.000 description 1
Images
Classifications
-
- 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
- G06Q10/00—Administration; Management
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy 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
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- General Health & Medical Sciences (AREA)
- Water Supply & Treatment (AREA)
- Software Systems (AREA)
- Fuzzy Systems (AREA)
- Primary Health Care (AREA)
- Public Health (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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
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 the transformer substation in China, daily maintenance work such as machine accounts, drawings, data, reports and the like of secondary equipment of the transformer substation is increasingly heavy, and faults of the secondary equipment are more frequent. When the defects are processed, the defect elimination efficiency and the defect elimination 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. The existing transformer substation temporary non-existence transformer substation secondary equipment defect cloud management related system has the defects of fault recurrence and treatment prejudgment and 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 the beginning of transformer substation infrastructure, a quick searching system with signals corresponding to a secondary circuit is constructed by taking the secondary circuit as a source, the functions of fault searching and analyzing are realized, defect elimination suggestions are given, and defect analysis and evaluation are performed. The invention can fill the blank of the plate to a great extent, realizes the 'instant scanning and using' of the secondary equipment information on the basis of the coding technical specification of the secondary equipment of the transformer substation, searches the same fault history situation, provides an optimal reference solution by comparing with the field, and can greatly improve the efficiency and the safety of the work of debugging, overhauling, rebuilding and expanding of the transformer substation and the like.
The invention is realized by the following technical scheme:
a transformer substation secondary equipment defect cloud management system comprises the following systems,
s1, a 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, a 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, a 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, a defect analysis and evaluation system: performing overall analysis and evaluation on the defect correction, wherein the analysis content comprises comprehensive analysis on the reasons of the generated defects, overall analysis on defective parts, overall analysis on the severity of the defects, analysis on defect processing time, analysis on defect occurrence rate, analysis on defect elimination rate and analysis on 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 defect disposal system input information 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 information comprises a defect analysis and evaluation result and a defect analysis report.
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 period 1 。
Preferably, the weighted average defect score μ of the secondary device over the evaluation period is calculated according to equation (1),
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;
Q 1 evaluating the number of general defects of equipment with the same model of the same manufacturer in the period;
Q 2 evaluating the number of serious defects of the same-type equipment of the same manufacturer in a period;
Q 3 evaluating the number of critical defects of the same type equipment of the same manufacturer in a period;
A 1 、A 2 、A 3 as weighting factors:
general Defect A 1 ＝1；
Serious defect A 2 ＝2；
Critical defect A 3 ＝3；
N S -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),
in the formula:
unit: evaluation period of one hundred meters
M is reliability statistic threshold value;
S 1 the general defect times of all secondary equipment in the past year;
S 2 -the number of serious defects of all secondary equipment in the year;
S 3 the number of all secondary equipment critical defects in the past year;
D 1 -evaluating the cycle coverage time (in months);
D j operating time of the jth device (in moon)
A 1 、A 2 、A 3 As weighting factors:
general Defect A 1 ＝1；
Serious defect A 2 ＝2；
Critical defect A 3 ＝3；
N-the total secondary equipment statistical number.
Reliability score K of secondary device in evaluation period 1 Taking a value according to the reliability weighted statistic S, calculating the reliability weighted statistic S according to a formula (3),
in the formula:
s-reliability weighted statistics;
mu is weighted average defect score of products of the same manufacturer and the same model in an evaluation period;
m is reliability statistic threshold value.
Preferably, the evaluation period is 12 months.
The invention has the advantages that:
1. the synchronous updating, recording, searching and comparing of the defects 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 input output 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 cloud management system for defects of secondary devices in a substation according to a preferred embodiment 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) defect reporting
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 and identification
And carrying out whole-network defect statistics and analysis on the defects according to the reported preliminary defect identification and statistical information, wherein the statistical content comprises the reasons of the defects, the defect parts 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 integral analysis and evaluation on the defect rectification condition. The analysis content comprises the following steps: the method comprises the steps of comprehensive analysis of reasons of generated defects, integral analysis of defect parts, integral analysis of defect severity, 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 defect analysis and evaluation result also comprises the reliability evaluation of the same type equipment: 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 |
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 equipment of the same model in an evaluation period;
q2, evaluating the number of serious defects of equipment of the same type in a period;
q3, the critical defect frequency of the equipment with the same model in the evaluation period;
a1, A2 and A3 are weighting factors:
general defect A1=1;
severe defect A2=2;
critical defect A3=3;
NS-statistical number of devices of the same model. The evaluation statistical period was treated at 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:
in the formula:
unit: evaluation period of one hundred units
M is reliability statistical threshold;
s1, the number of general defects of all secondary equipment in the past year;
s2, the number of serious defects of all secondary equipment in the past year;
s3, the critical defect times of all secondary equipment in the past year;
d1-evaluate cycle coverage time (in months);
dj-operation time of the jth device (unit is moon)
A1, A2 and A3 are weighting factors:
general defect A1=1;
severe 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 value S, and is shown in a formula:
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 and identification, treatment scheme formulation verification and implementation, common defect analysis and 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. After the defect is marked as a familial defect, pushing the defect 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 completed. And filing 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) and establishing a protection and automation data integration model. A unified object modeling principle is adopted, a data integrity rule is defined, attributes, behaviors, operation authority and the like of a data model are standardized, a standing book and defect information protection and automatic defect data integrated model is established, and data support is provided for equipment evaluation.
(2) Basic data acquisition is realized by means of intelligent mobile terminal equipment. Based on the field mobile terminal equipment, the electronic, standardized and automatic input of the defect information of the secondary equipment is realized; and the automatic synchronization with a secondary equipment evaluation center background is realized, the data transfer link is reduced, and the standardization and the integrity of basic information are improved.
(3) And realizing flow management by means of intelligent mobile terminal equipment. The function realizes statistics of full voltage level relay protection and automatic related secondary equipment defect information, including defect rate, defect reasons, defect parts, defect severity, responsibility analysis and the like; the defect condition is integrally analyzed and evaluated, and the method comprises the following steps: the method comprises the steps of comprehensively analyzing reasons of generated defects, integrally analyzing defect parts, integrally analyzing defect severity, analyzing defect processing time, analyzing defect occurrence rate and analyzing defect elimination time rate. And integrating the device branch information such as the device model, the software version and the like, analyzing the relevance of the device defect with the manufacturer, the model, the software version and the operation life, providing data support for repairing and transforming secondary devices, and forming a secondary device 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 (5)
1. A transformer substation secondary equipment defect cloud management system is characterized by comprising the following systems,
s1, a 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; the input information of the defect reporting system comprises secondary equipment ledger information and equipment defect information, and the output information comprises defect reasons and defect parts;
s2, a 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; 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; s3, a 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; 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;
s4, a defect analysis and evaluation system: the defect correction is subjected to overall analysis and evaluation, and 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 defect eliminationAnalyzing the timeliness rate; synthesizing equipment information to form a secondary equipment defect analysis report; the input information of the defect analysis and evaluation system comprises secondary equipment standing book information and equipment defect information, and the output information comprises a defect analysis and evaluation result and a defect analysis report; 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 period 1 。
2. The substation secondary equipment defect cloud management system according to claim 1, wherein the weighted average defect score μ of the secondary equipment in the evaluation period is calculated according to formula (1),
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;
Q 1 evaluating the number of general defects of equipment with the same model of the same manufacturer in the period;
Q 2 evaluating the number of serious defects of the same-type equipment of the same manufacturer in a period;
Q 3 the number of critical defects of the same-type equipment of the same manufacturer in the evaluation period is calculated;
A 1 、A 2 、A 3 as weighting factors:
general Defect A 1 ＝1；
Serious defect A 2 ＝2；
Critical defect A 3 ＝3；
N S -counting the number of devices of the same model.
3. The substation secondary equipment defect cloud management system according to claim 1, wherein the reliability statistical threshold value M of the secondary equipment in the evaluation period is calculated according to formula (2),
in the formula:
unit: evaluation period of one hundred meters
M is reliability statistic threshold value;
S 1 the number of general defects of all secondary equipment in the year;
S 2 -the number of all secondary equipment critical defects in the year;
S 3 the number of all secondary equipment critical defects in the past year;
D 1 -evaluating the cycle coverage time in months;
D j -the operation time of the jth device in months;
A 1 、A 2 、A 3 as weighting factors:
general Defect A 1 ＝1；
Serious defect A 2 ＝2；
Critical defect A 3 ＝3；
N-the total secondary equipment statistical number.
4. The cloud management system for defects of secondary equipment of transformer substation according to claim 1, characterized in that the reliability score K of the secondary equipment in the evaluation period 1 Taking values according to the reliability weighted statistic value S, calculating the reliability weighted statistic value S according to a formula (3),
in the formula:
s-reliability weighted statistics;
mu is weighted average defect score of products of the same manufacturer and the same model in an evaluation period;
m is reliability statistic threshold value.
5. A substation secondary equipment defect cloud management system according to any one of claims 1-4, wherein the evaluation period is 12 months.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910818532.9A CN110688389B (en) | 2019-08-30 | 2019-08-30 | Cloud management system for defects of secondary equipment of transformer substation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910818532.9A CN110688389B (en) | 2019-08-30 | 2019-08-30 | Cloud management system for defects of secondary equipment of transformer substation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110688389A CN110688389A (en) | 2020-01-14 |
| CN110688389B true CN110688389B (en) | 2023-04-18 |
Family
ID=69108724
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910818532.9A Active CN110688389B (en) | 2019-08-30 | 2019-08-30 | Cloud management system for defects of secondary equipment of transformer substation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110688389B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN112596475B (en) * | 2020-12-01 | 2021-11-23 | 北京电子工程总体研究所 | System safety analysis system based on process control |
| CN112834865B (en) * | 2020-12-30 | 2023-11-07 | 淮北工科检测检验有限公司 | Quick fault finder for secondary circuit of power system |
| CN113627802B (en) * | 2021-08-13 | 2024-06-11 | 西安热工研究院有限公司 | Method for online calculating number of wind field fault eliminating machine stops based on defect list |
| CN114399203B (en) * | 2022-01-17 | 2023-04-18 | 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 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361419A (en) * | 2014-09-10 | 2015-02-18 | 国家电网公司 | Electric transmission and transformation equipment state monitoring defect management system and method based on regulation and control integration |
| CN106709580A (en) * | 2017-01-13 | 2017-05-24 | 国家电网公司 | Substation secondary system operation and maintenance cloud platform |
| CN108537344A (en) * | 2018-02-01 | 2018-09-14 | 贵州电网有限责任公司 | Secondary device intelligence O＆M method based on closed loop information management |
| CN208174363U (en) * | 2018-05-28 | 2018-11-30 | 昂顿科技（上海）有限公司 | The cloud management system of power quality |
| WO2019095910A1 (en) * | 2017-11-15 | 2019-05-23 | 天津市普迅电力信息技术有限公司 | Daily patrol working method and system in substation |
-
2019
- 2019-08-30 CN CN201910818532.9A patent/CN110688389B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361419A (en) * | 2014-09-10 | 2015-02-18 | 国家电网公司 | Electric transmission and transformation equipment state monitoring defect management system and method based on regulation and control integration |
| CN106709580A (en) * | 2017-01-13 | 2017-05-24 | 国家电网公司 | Substation secondary system operation and maintenance cloud platform |
| WO2019095910A1 (en) * | 2017-11-15 | 2019-05-23 | 天津市普迅电力信息技术有限公司 | Daily patrol working method and system in substation |
| CN108537344A (en) * | 2018-02-01 | 2018-09-14 | 贵州电网有限责任公司 | Secondary device intelligence O＆M method based on closed loop information management |
| CN208174363U (en) * | 2018-05-28 | 2018-11-30 | 昂顿科技（上海）有限公司 | The cloud management system of power quality |
Non-Patent Citations (1)
| Title |
|---|
| 基于调度应用管理系统的集中监控缺陷闭环管理;耿艳等;《华北电力技术》;20150925(第09期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110688389A (en) | 2020-01-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110688389B (en) | Cloud management system for defects of secondary equipment of transformer substation | |
| CN107358366B (en) | Distribution transformer fault risk monitoring method and system | |
| CN103679554B (en) | Power grid accident separating brake aided analysis method | |
| CN110674189A (en) | Method for monitoring secondary state and positioning fault of intelligent substation | |
| CN110927654B (en) | Batch running state evaluation method for intelligent electric energy meters | |
| CN110687473B (en) | Fault positioning method and system for relay protection test of intelligent substation | |
| CN110350660B (en) | Online monitoring method and system for relay protection function pressing plate | |
| CN111091292B (en) | Nuclear power station real-time risk dynamic modeling analysis system | |
| CN116680113B (en) | Equipment detection implementation control system | |
| CN113537523A (en) | Substation equipment state maintenance and decision-making assisting method | |
| CN112001511A (en) | Equipment reliability and dynamic risk evaluation method, system and equipment based on data mining | |
| CN111861786A (en) | Special transformer electricity stealing identification method based on feature selection and isolated random forest | |
| CN114118245A (en) | Automatic restoration system and method for abnormal data of asset account of power grid equipment | |
| CN112365186A (en) | Health degree evaluation method and system for electric power information system | |
| CN111708817A (en) | Intelligent disposal method for transformer substation monitoring information | |
| CN115330404A (en) | System and method for electric power marketing inspection | |
| CN110703183A (en) | Intelligent electric energy meter fault data analysis method and system | |
| CN110852904B (en) | Signal checking system and method based on RCD and SCD checking | |
| CN117614115A (en) | Substation debugging and acceptance checking system and method based on artificial intelligence | |
| CN117217734A (en) | Maintenance management system based on BIM subway station electromechanical equipment | |
| CN111178855A (en) | Electric quantity data monitoring method | |
| CN113643154B (en) | Relay protection constant value intelligent auditing system | |
| CN110928933A (en) | Production management method, production management device and computer-readable storage medium | |
| CN114662981A (en) | Pollution source enterprise supervision method based on big data application | |
| CN114167342A (en) | Evaluation method for running health state of relay protection device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |