CN103278715A - Electrical equipment testing method - Google Patents
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Abstract
The invention discloses an electrical equipment testing method, comprising the steps of building test data models of various types of electrical equipment according to the testing information of an electrical equipment preventive testing regulation; acquiring the test data produced by each test of the electrical equipment according to the test data models, storing the test data in an electrical production system and relating the test data to an equipment ledger; reading the equipment ledger information of the tested electrical equipment from the equipment ledger; obtaining corresponding test data from the electrical production system according to the test data models of the tested electrical equipment and the equipment ledger information and judging whether fault hidden dangers exist in the test data. A basis is provided for test data application by the electrical equipment testing method, the work load of the test data processing can be reduced, the efficiency and accuracy are improved by analyzing the running state of the electrical equipment by the corresponding test data obtained by the test data models, the state of the electrical equipment can be detected by automatically analyzing the test data, and the automatic development requirement of the current electrical system can be met.
Description
Technical field
The present invention relates to the electric power project engineering field, particularly relate to a kind of power equipment test method.
Background technology
The power equipment test is an important step in equipment operation and the maintenance work, analyze by the test figure that test is produced, can in time understand unusual, the defect state of equipment under test, judge whether the index of pilot project exceeds the requirement of preventive trial rules, and then judge whether power equipment exists potential faults.
Traditional power equipment test method, in each power equipment test, because power equipment type difference, pilot project difference, can produce the test figure of a large amount of differentiation, at different power equipments, the project of test, various test figures produce different pieces of information structure, the next data file of data layout, when test figure is analyzed, need artificially collect all previous test figure, more various data files are found out data exception then, judge whether power equipment exists potential faults.
In the above-mentioned power equipment test method, the workload of data analysis processing procedure is big and can't realize being difficult to the analysis of robotization carry out on a large scale, efficient is low, and this data analysing method also makes mistakes easily, and poor accuracy does not meet the demand for development of current power system automation.
Summary of the invention
Based on this, be necessary that the efficient at prior art is low, the problem of poor accuracy, a kind of power equipment test method is provided.
A kind of power equipment test method comprises the steps:
Step S1: according to the Test Information of power equipment preventive trial rules, set up the test figure model of all kinds of power equipments;
Step S2: obtain the test figure that each each time of power equipment test produces according to described test figure model, described test figure is kept in the electric power generation system, and is associated in the equipment account;
Step S3: the equipment account information that from described equipment account, reads tested power equipment;
Step S4: according to test figure model and the equipment account information of described tested power equipment, from described electric power generation system, obtain corresponding test figure, and judge whether described test figure exists potential faults.
Above-mentioned power equipment test method, by setting test figure model test figure being carried out modelling is kept in the electric power generation system, for the test figure application provides the basis, obtain corresponding test figure to the power equipment running state analysis according to the test figure model, reduced experimental data processing workload, improved the low and accuracy rate of efficient, can realize that the automated analysis test figure detects the state of power equipment, satisfies the demand for development of current power system automation.
Description of drawings
Fig. 1 is the process flow diagram of the power equipment test method of an embodiment;
Fig. 2 is the main-transformer test figure structure of models synoptic diagram of an embodiment;
Fig. 3 is the 500kV oil immersed type main-transformer test figure structure of models synoptic diagram of an embodiment;
Fig. 4 is the structural representation of the oil dissolved gas stratographic analysis project of an embodiment;
Fig. 5 is the sub-project data structure synoptic diagram of an embodiment;
Fig. 6 is main-transformer A phase sleeve pipe pilot project change trend curve synoptic diagram;
Fig. 7 is relatively synoptic diagram of main-transformer ABC three-phase sleeve pipe pilot project;
Fig. 8 is relatively synoptic diagram of main-transformer equipment dielectric loss pilot project of the same type.
Embodiment
Be described in detail below in conjunction with the embodiment of accompanying drawing to power equipment test method of the present invention.
Referring to shown in Figure 1, Fig. 1 is the process flow diagram of the power equipment test method of an embodiment, comprises the steps:
Step S1: according to the Test Information of power equipment preventive trial rules, set up the test figure model of all kinds of power equipments.
Concrete, in power equipment preventive trial rules, information such as the relevant testing equipment that carries out preventive trial, pilot project, content of the test are based upon the test figure model structure of all kinds of power equipments in these rules,
In one embodiment, described test figure model adopts the tree-shaped form of multilayer, device class-unit type-electric pressure-test position-test specialty-pilot project-sub-project with hierarchy is content, and sub-project comprises title, data type, unit, precision, criterion and analyzes dimension.
Referring to shown in Figure 2, Fig. 2 is the main-transformer test figure structure of models synoptic diagram of an embodiment, and wherein, device class is main-transformer test figure model, and unit type comprises oil immersed type main-transformer, SF6 main-transformer and dry type main-transformer; Electric pressure comprises 500kV, 220kV, 110kV and following and 35kV and following four electric pressures.
Referring to shown in Figure 3, Fig. 3 is the 500kV oil immersed type main-transformer test figure structure of models synoptic diagram of an embodiment, and wherein, the test position comprises body and X sleeve pipe mutually; The test specialty comprises high pressure specialty and specialty chemical.Pilot project comprises: winding D.C. resistance, the insulation resistance of AC voltage withstand test, iron core and folder insulation resistance, punching bolt, yoke clip piece, colligation steel band, iron core, winding pressure ring and the shielding etc. of winding deformation test, winding and sleeve, partial discharge test, infrared detection (more than belong to body part high pressure specialty); The oil dissolved gas stratographic analysis, little water, gas content of oil, furfural content in the oil, granularity in the oil, outer shape, water soluble acid, acid number, flash-point (remaining silent), interfacial tension, tan δ, voltage breakdown, specific insulation, greasy filth and sediment, active sulfur (more than belong to body position specialty chemical); The insulation resistance of winding and sleeve, absorptance or polarization index, the tan of winding and sleeve, the tan δ of condenser bushing and capacitance (more than belong to X sleeve pipe high pressure specialty mutually); Oil dissolved gas stratographic analysis (belonging to X phase sleeve pipe specialty chemical).
Referring to shown in Figure 4, Fig. 4 is the structural representation of the oil dissolved gas stratographic analysis project of an embodiment, wherein, sub-project comprises: hydrogen (H2), methane (CH4), ethane (C2H6), ethene (C2H4), acetylene (C2H2), carbon monoxide (CO), carbon dioxide (CO2), total hydrocarbon.
Referring to shown in Figure 5, Fig. 5 is the sub-project data structure synoptic diagram of an embodiment, comprises title, data type, unit, precision, criterion and analyzes dimension.
In criterion, the threshold values of the different conditions correspondence of this sub-project test figure can be set, for example, unusual threshold values is set, be used for judging unusually the defective threshold values being set prompting, be used for carrying out defective and judge prompting.
Step S2: obtain the test figure that each each time of power equipment test produces according to described test figure model, described test figure is kept in the electric power generation system, and is associated in the equipment account.
In one embodiment, step S2 specifically comprises:
Step S201, the test figure that produces according to the process of the test of described each sub-project of test figure model typing.
Step S202 generates described test figure the data file of setting form according to described test figure model.
Step S203, data file classified according to the type of power equipment to be kept in the electric power generation system.
Step S204 is associated to the numbering of power equipment in the described data file power equipment of equipment account correspondence.
Above-mentioned steps is kept at test figure in the electric power generation system according to the test figure model, can be used for follow-up test data analyzer.
Step S3: the equipment account information that from described equipment account, reads tested power equipment.
Concrete, the corresponding relation associated according to step S2 reads its corresponding equipment account information according to tested power equipment from the equipment account, be used for the follow-up test data analysis.
Step S4: according to test figure model and the equipment account information of described tested power equipment, from described electric power generation system, obtain corresponding test figure, and judge whether described test figure exists potential faults.
In this step, utilize the test figure model of different power equipment correspondences, obtain test figure analysis, carry out the potential faults of robotization and judge.
In one embodiment, described step S4 specifically comprises:
According to test figure model and the equipment account information of tested power equipment, from electric power generation system, obtain the historical test data that test produces.
Judge described historical test data according to the criterion of test figure model specification.
If surpass the unusual threshold values in the described criterion, then point out this power equipment sub-project test unusual or prompt facility is unusual.
If surpass the defective threshold values in the described criterion, then there is defective in this power equipment of mark in test report.
In above-described embodiment, by the threshold values in the criterion of test figure model specification, judge the test figure of each pilot project, realize the unusual judgement of test figure and automatic early-warning function.
In one embodiment, described step S4 specifically comprises:
According to test figure model and the equipment account information of tested power equipment, from electric power generation system, obtain the several times of the sub-project of required monitoring and test the historical test data that produces.
Form the trend curve of this sub-project according to the test figure of described historical test data and current test generation.
Calculate the rate of change of test figure according to described trend curve.
Judge that whether described rate of change surpasses the threshold values of setting in the power equipment preventive trial rules, if surpass, then points out power equipment to have potential faults.
Referring to shown in Figure 6, Fig. 6 is main-transformer A phase sleeve pipe pilot project change trend curve synoptic diagram, it is the trend map in all previous test figure formation of test of #1 main transformer interval A phase bushing among the figure, by the test figure model, automatically obtaining all previous test figure analyzes, and the generation figure that takes out stitches as shown in FIG., calculate rate of change, computing formula is:
In the following formula, η is the rate of change that twice test in front and back detects, m
kBe the trial value of this time, m
K-1Be the trial value of last time, by each time test back η value situation of change, when surpassing the threshold values of setting in the preventive trial rules, judge that then there is potential faults in this power equipment, and make corresponding alarm prompt.
In one embodiment, described step S4 specifically comprises:
According to test figure model and the equipment account information of tested power equipment, from electric power generation system, obtain the three-phase test data of the three-phase subset several times test generation of this power equipment.
Form three-phase change trend curve and three-phase averaged curve according to described three-phase test data.
According to balance and the otherness between the three-phase of described three-phase change trend curve and three-phase averaged curve judgement three-phase subset.
If described balance and otherness exceed the threshold values of setting in the power equipment preventive trial rules, then point out the three-phase subset of power equipment to have potential faults.
Referring to shown in Figure 7, Fig. 7 is relatively synoptic diagram of main-transformer ABC three-phase sleeve pipe pilot project, be in the 110kV transformer test among the figure, the comparison of ABC three-phase test project change trend curve at interval of 110kV XX station # main transformer, by the test figure model, automatically obtaining all previous test figure analyzes, and generation comparison diagram as shown in FIG., if balance and otherness shown in the comparison diagram exceed the threshold values of setting in the power equipment preventive trial rules, there is potential faults in the three-phase subset of then judging power equipment, makes corresponding prompting.
In one embodiment, described step S4 also comprises:
According to described test figure model and equipment account information, from electric power generation system, obtain the test figure that the test of same model power equipment several times produces.
Form the change trend curve of described power equipment according to the test figure of each model.
Monitor the performance state of each power equipment according to described change trend curve.
Referring to shown in Figure 8, Fig. 8 is relatively synoptic diagram of main-transformer equipment dielectric loss pilot project of the same type, be in the 110kV transformer test among the figure, the comparison of main-transformer equipment dielectric loss pilot project change trend curve of the same type, by the test figure model, obtain all previous test figure automatically and analyze, and generation comparison diagram as shown in FIG., further can realize the function of same category of device lateral comparison, realize prediction and analytical equipment degradation and development trend.
Power equipment test method of the present invention, according to modeled equipment test data, can automatic analysis equipment the unusual condition of operation, the fault of express-analysis equipment and ruuning situation, in time discovering device built-in problem and outside cause unusual reason, avoid the generation of the person or equipment major accident.
In addition, provide the method for test data analyzer, the test figure by all previous test produces provides data analysis function and graphic exhibition comparing function.。
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (8)
1. a power equipment test method is characterized in that, comprises the steps;
Step S1: according to the Test Information of power equipment preventive trial rules, set up the test figure model of all kinds of power equipments;
Step S2: obtain the test figure that each each time of power equipment test produces according to described test figure model, described test figure is kept in the electric power generation system, and is associated in the equipment account;
Step S3: the equipment account information that from described equipment account, reads tested power equipment;
Step S4: according to test figure model and the equipment account information of described tested power equipment, from described electric power generation system, obtain corresponding test figure, and judge whether described test figure exists potential faults.
2. power equipment test method according to claim 1, it is characterized in that, described test figure model adopts the tree-shaped form of multilayer, device class-unit type-electric pressure-test position-test specialty-pilot project-sub-project with hierarchy is content, and sub-project comprises title, data type, unit, precision, criterion and analyzes dimension.
3. power equipment test method according to claim 2 is characterized in that S2 specifically comprises in step:
The test figure that produces according to the process of the test of described each sub-project of test figure model typing;
Described test figure is generated the data file of setting form according to described test figure model;
Data file classified according to the type of power equipment be kept in the electric power generation system;
The numbering of power equipment in the described data file is associated to the power equipment of equipment account correspondence.
4. according to claim 2 or 3 described power equipment test methods, it is characterized in that described step S4 specifically comprises:
According to test figure model and the equipment account information of tested power equipment, from electric power generation system, obtain the historical test data that test produces;
Judge described historical test data according to the criterion of test figure model specification;
If surpass the unusual threshold values in the described criterion, then point out this power equipment sub-project test unusual or prompt facility is unusual;
If surpass the defective threshold values in the described criterion, then there is defective in this power equipment of mark in test report.
5. according to claim 2 or 3 described power equipment test methods, it is characterized in that described step S4 specifically comprises:
According to test figure model and the equipment account information of tested power equipment, from electric power generation system, obtain the several times of the sub-project of required monitoring and test the historical test data that produces;
Form the trend curve of this sub-project according to the test figure of described historical test data and current test generation;
Calculate the rate of change of test figure according to described trend curve;
Judge that whether described rate of change surpasses the threshold values of setting in the power equipment preventive trial rules, if surpass, then points out power equipment to have potential faults.
6. according to claim 2 or 3 described power equipment test methods, it is characterized in that described step S4 specifically comprises:
According to test figure model and the equipment account information of tested power equipment, from electric power generation system, obtain the three-phase test data of the three-phase subset several times test generation of this power equipment;
Form three-phase change trend curve and three-phase averaged curve according to described three-phase test data;
According to balance and the otherness between the three-phase of described three-phase change trend curve and three-phase averaged curve judgement three-phase subset;
If described balance and otherness exceed the threshold values of setting in the power equipment preventive trial rules, then point out the three-phase subset of power equipment to have potential faults.
7. power equipment test method according to claim 1 is characterized in that, described step S4 also comprises:
According to described test figure model and equipment account information, from electric power generation system, obtain the test figure that the test of same model power equipment several times produces;
Form the change trend curve of described power equipment according to the test figure of each model;
Monitor the performance state of each power equipment according to described change trend curve.
8. power equipment test method according to claim 1 is characterized in that, described power equipment comprises transformer.
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CN106483415A (en) * | 2017-01-05 | 2017-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of test system of Application of Power Metering Instruments type approval test and method |
CN107328994A (en) * | 2017-07-17 | 2017-11-07 | 国家电网公司 | Insulation Resistance of Transformer experimental rig and method |
CN107843682A (en) * | 2016-09-19 | 2018-03-27 | 株式会社岛津制作所 | The fault detection method and VOC continuous exhaust gas analysis devices of VOC continuous exhaust gas analysis devices |
CN107977775A (en) * | 2017-11-15 | 2018-05-01 | 中国南方电网有限责任公司超高压输电公司广州局 | A kind of oil-immersed power transformer oiling test data management analysis expert system |
CN109948601A (en) * | 2018-11-29 | 2019-06-28 | 国网重庆市电力公司电力科学研究院 | A kind of power equipment data processing system based on image recognition |
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CN111639118A (en) * | 2020-05-29 | 2020-09-08 | 金现代信息产业股份有限公司 | Dynamic generation method and system for test report of power equipment |
CN113837596A (en) * | 2021-09-22 | 2021-12-24 | 广东电网有限责任公司 | Fault determination method and device, electronic equipment and storage medium |
CN117744002A (en) * | 2023-12-25 | 2024-03-22 | 河北网星软件有限公司 | Laboratory data analysis method and laboratory information management platform |
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CN107843682A (en) * | 2016-09-19 | 2018-03-27 | 株式会社岛津制作所 | The fault detection method and VOC continuous exhaust gas analysis devices of VOC continuous exhaust gas analysis devices |
CN107843682B (en) * | 2016-09-19 | 2020-09-29 | 株式会社岛津制作所 | Fault detection method for VOC waste gas continuous analysis device and VOC waste gas continuous analysis device |
CN106483415A (en) * | 2017-01-05 | 2017-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of test system of Application of Power Metering Instruments type approval test and method |
CN107328994A (en) * | 2017-07-17 | 2017-11-07 | 国家电网公司 | Insulation Resistance of Transformer experimental rig and method |
CN107977775A (en) * | 2017-11-15 | 2018-05-01 | 中国南方电网有限责任公司超高压输电公司广州局 | A kind of oil-immersed power transformer oiling test data management analysis expert system |
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CN109948601A (en) * | 2018-11-29 | 2019-06-28 | 国网重庆市电力公司电力科学研究院 | A kind of power equipment data processing system based on image recognition |
CN111639118A (en) * | 2020-05-29 | 2020-09-08 | 金现代信息产业股份有限公司 | Dynamic generation method and system for test report of power equipment |
CN113837596A (en) * | 2021-09-22 | 2021-12-24 | 广东电网有限责任公司 | Fault determination method and device, electronic equipment and storage medium |
CN113837596B (en) * | 2021-09-22 | 2024-04-02 | 广东电网有限责任公司 | Fault determination method and device, electronic equipment and storage medium |
CN117744002A (en) * | 2023-12-25 | 2024-03-22 | 河北网星软件有限公司 | Laboratory data analysis method and laboratory information management platform |
CN117744002B (en) * | 2023-12-25 | 2024-06-07 | 河北网星软件有限公司 | Laboratory data analysis method and laboratory information management platform |
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