CN105404979A - Multi-source information-based power grid equipment quality rating method - Google Patents
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Abstract
The present invention provides a multi-source information-based power grid equipment quality rating method, comprising: step 1, collecting the number, a voltage level, the number of operating years, an operation defect record, an equipment random-inspection result, a fault non-stop record, and a family defect of running primary equipment of each supplier; step 2, using an equipment state evaluation defect score deduction table as a basis of score deduction of a single defect, to perform score deduction on defects of all the equipment; step 3, calculating a defect score deduction average value of each supplier; and step 4, according to the equipment defect score deduction average value of each supplier, dividing the equipment into levels A, B, C, D, and E, and performing normality testing on the equipment defect score deduction average value of each supplier, wherein, if the value complies with normal distribution, equipment quality level classification lines are determined according to the normal distribution, and if the value does not comply with the normal distribution, equipment quality level classification lines are determined according to 'a quintile method'. According to the method provided by the present invention, equipment quality is classified according to an equipment quality rating result, thereby providing a reference for equipment purchase.
Description
Technical field
The present invention relates to power equipment quality classification technical field, specifically a kind of grid equipment quality classification method based on multi-source information.
Background technology
In recent years, along with the raising of administration of power networks level, Hubei grid power supply reliability is greatly improved, but the device damage caused because of equipment quality problem, non-the stopping of electrical network happen occasionally, the blue or green wave transformer in such as Qingdao because of anti-short circuit capability deficiency cause transformer to burn, raise in Xi'an reactor because of design defect cause burning, Shanghai MWBSAS-550 type current transformer causes device damage etc. because of insulation distance deficiency, wherein equipment component defect is circulated a notice of by Guo Wang company or company of province as familial defect.At present, grid equipment quality problems have become the main cause affecting Hubei grid safe and stable operation.
In recent years, Hubei company is that lifting means quality level takes a series of measure, such as Corporation system in 2014 has carried out anti-short circuit capability verification to the whole province's 50 220kV transformers, within 2015, strengthen emphatically distribution net equipment sampling observation dynamics, these work also achieve good effect, but still there is a large amount of equipment quality problems in Hubei grid, particularly distribution net equipment field, newly enter equipment also time have fault to occur, huge hidden danger is brought to the safe and stable operation of Hubei grid, need lifting means quality regulatory level, guarantee log equipment quality.
According to relevant laws and regulations requirement, power equipment adopts the mode of open bidding to determine supplier usually.Vendor equipment quality is the important evidence of bid, and vendor equipment quality condition is mainly derived from the operating experience of tenderer unit, does not have the vendor equipment quality scale quantized, adds bid difficulty.
Also there is no relevant supplier equipment quality ranking method at present, " State Grid Corporation of China's supplier performance evaluation administrative rules ", " State Grid Corporation of China's qualitative materiel management method " propose the management clause of some principles to vendor equipment quality, but do not provide detailed evaluation method.
Summary of the invention
The invention provides a kind of grid equipment quality classification method based on multi-source information, it relies on technological means to make grading to equipment quality, and carries out classification according to equipment quality rating result to equipment, thus provides reference frame for equipment purchase.
Based on a grid equipment quality classification method for multi-source information, comprise the steps:
Step one, collect each supplier at the quantity of primary equipment run, electric pressure, the operation time limit, operational defect record, equipment Examined, fault is non-stops record and familial defect;
Step 2, using equipment state evaluate defect deduction of points table as individual defect deduction of points foundation, the defect of all devices is deducted points;
Step 3, calculate each supplier defect deduction of points mean value:
For certain supplier, the computing method of its defect deduction of points mean value are as follows:
(1) first calculate this supplier's defect deduction of points total value, defect deduction of points total value is the summation of all individual defect deduction of points values, is shown below:
Defect deduction of points total value=∑ (individual defect deduction of points value)
(2) calculate this supplier defect deduction of points mean value again, the ratio that defect deduction of points mean value be this supplier's defect deduction of points total value with it at operational outfit platform year number, be shown below, its unit is: divide/platform year:
Defect deduction of points mean value=defect deduction of points total value/at operational outfit platform year number
Being wherein that this supplier is all at operational outfit platform year number runs year number summation at operational outfit, is shown below:
In operational outfit platform year number=∑ (single at operational outfit operation year number)
Operation year number adopts the total number of days put into operation between day to evaluation day divided by 365, is shown below:
Run year number=day of putting into operation to total number of days/365 evaluated between day
Step 4, according to each supplier equipment deficiency deduction of points mean value equipment is divided into A, B, C, D, E five grades, first Normal distribution test is carried out to each vendor equipment defect deduction of points mean value, meet normal distribution, according to normal distribution determination equipment quality grade classification line, do not meet normal distribution, then determine equipment quality grade classification line according to " five period in arithmetrics ";
Step 5, degradation process: cause occurring breaking down in defective, the equipment running process of sampling observation non-stop or equipment by Guo Wang company or company of province circular familial defect, vendor equipment quality grade is done degradation process.
As above based on the grid equipment quality classification method of multi-source information, do degradation process in described step 5 and be specially:
A () is inspected by random samples defective, if due to manufacturing process or design the reason such as unreasonable, material selection is improper and cause, this electric pressure equipment quality grade is by falling two stages for the treatment of, other electric pressure equipment quality grades are by falling coagulation, if caused by other accidentalia, this electric pressure equipment quality grade is by falling coagulation;
Break down in (b) equipment running process and cause non-stopping, if due to manufacturing process or design the reason such as unreasonable, material selection is improper and cause, this electric pressure equipment quality grade is by falling two stages for the treatment of, other electric pressure equipment quality grades are by falling coagulation, if caused by other accidentalia, this electric pressure equipment quality grade is by falling coagulation;
C () equipment is by Guo Wang company or company of province circular familial defect, this electric pressure equipment quality grade is by falling two stages for the treatment of, and other electric pressure equipment quality grades are by falling coagulation.
As above based on the grid equipment quality classification method of multi-source information, described step 2 is specially: look the influence degree of individual defect to equipment safety operation, from light to being heavily divided into four grades, corresponding weight is respectively weight 1, weight 2, weight 3, weight 4, and its coefficient is 1,2,3,4; Depending on the degradation of individual defect from light to being heavily divided into level Four, be respectively I, II, III and IV grade, the basic deduction of points value of its correspondence is 2,4,8,10 points, individual defect value of should deducting points is determined jointly by defect degradation and defect weight, and namely the defect basic deduction of points value that value equals this defect of should deducting points is multiplied by weight coefficient.
The present invention has following beneficial effect:
1, the present invention specify that equipment quality evaluation index, using the defect record of equipment history run as judging basis, according to defect number and the order of severity carry out valuator device quality, simultaneously using non-record and the familial defect of stopping of equipment Examined, fault as auxiliary evaluation index, the equipment quality of comprehensive evaluation to different supplier is made to equipment quality grade and makes differentiation, the Technical Reference foundation of equipment quality aspect can be provided for Bids For Purchasing Equipments process, thus improve equipment purchase quality.
2, the present invention specify that evaluation index quantitative calculation method, defect deduction of points table is evaluated as individual defect deduction of points foundation using equipment state, fusion device runs the time limit, obtain defect deduction of points mean value, be the judging basis of equipment quality grade, specify that simultaneously Examined, fault non-stop recording and familial defect size is affected on equipment quality grade
3, the present invention specify that the stage division of equipment quality grade, equipment is divided into A, B, C, D, E five grades by the equipment deficiency deduction of points mean value according to each supplier, first Normal distribution test is carried out to each vendor equipment defect deduction of points mean value, meet normal distribution, according to normal distribution determination equipment quality grade classification line, do not meet normal distribution, then determine equipment quality grade classification line according to " five period in arithmetrics ".
Embodiment
Below in conjunction with specific embodiment, the technical scheme in the present invention is clearly and completely described.
Based on a grid equipment quality classification method for multi-source information, comprise the steps:
Step one, step one, collect each supplier at the quantity of primary equipment run, electric pressure, the operation time limit, operational defect record, equipment Examined, fault is non-stops record and familial defect;
Step 2, using equipment state evaluate defect deduction of points table as individual defect deduction of points foundation, the defect of all devices is deducted points, concrete, depending on the influence degree of individual defect to equipment safety operation, from light to being heavily divided into four grades, corresponding weight is respectively weight 1, weight 2, weight 3, weight 4, and its coefficient is 1,2,3,4; Depending on the degradation of individual defect from light to being heavily divided into level Four, be respectively I, II, III and IV grade, the basic deduction of points value of its correspondence is 2,4,8,10 points.Individual defect value of should deducting points is determined jointly by defect degradation and defect weight, and namely the defect basic deduction of points value that value equals this defect of should deducting points is multiplied by weight coefficient.Deduction of points value reference device state evaluation directive/guide corresponding to various defect, only considers the defect relevant to equipment quality, and item irrelevant with equipment quality in equipment operational defect record can not considered.
Step 3, calculate each supplier defect deduction of points mean value:
For certain supplier, the computing method of its defect deduction of points mean value are as follows:
(1) first calculate this supplier's defect deduction of points total value, defect deduction of points total value is the summation of all individual defect deduction of points values, is shown below:
Defect deduction of points total value=∑ (individual defect deduction of points value)
(2) calculate this supplier defect deduction of points mean value again, the ratio that defect deduction of points mean value be this supplier's defect deduction of points total value with it at operational outfit platform year number, be shown below, its unit is: divide/platform year:
Defect deduction of points mean value=defect deduction of points total value/at operational outfit platform year number
Being wherein that this supplier is all at operational outfit platform year number runs year number summation at operational outfit, is shown below:
In operational outfit platform year number=∑ (single at operational outfit operation year number)
Operation year number adopts the total number of days put into operation between day to evaluation day divided by 365, is shown below:
Run year number=day of putting into operation to total number of days/365 evaluated between day
Step 4, according to each supplier equipment deficiency deduction of points mean value equipment is divided into A, B, C, D, E five grades, first Normal distribution test is carried out to each vendor equipment defect deduction of points mean value, meet normal distribution, according to normal distribution determination equipment quality grade classification line, do not meet normal distribution, then determine equipment quality grade classification line according to " five period in arithmetrics ".For 220kV isolating switch, its grade classification line as table 1, A level to E level equipment quality with representative reduce successively.
Table 1 equipment quality grade classification table
| Equipment quality grade | A | B | C | D | E |
| 220kV isolating switch | 0≤F＜5 | 5≤F＜15 | 15≤F＜35 | 35≤F＜45 | F≥45 |
Step 5, degradation process: cause occurring breaking down in defective, the equipment running process of sampling observation non-stop or equipment by Guo Wang company or company of province circular familial defect, vendor equipment quality grade is done degradation process.Concrete disposition is as follows:
A () is inspected by random samples defective, if due to manufacturing process or design the reason such as unreasonable, material selection is improper and cause, this electric pressure equipment quality grade is by falling two stages for the treatment of, other electric pressure equipment quality grades are by falling coagulation, if caused by other accidentalia, this electric pressure equipment quality grade is by falling coagulation.
Break down in (b) equipment running process and cause non-stopping, through economizing DianKeYuan identification, if due to manufacturing process or design the reason such as unreasonable, material selection is improper and cause, this electric pressure equipment quality grade is by falling two stages for the treatment of, other electric pressure equipment quality grades are by falling coagulation, if caused by other accidentalia, this electric pressure equipment quality grade is by falling coagulation.
C () equipment is by Guo Wang company or company of province circular familial defect, this electric pressure equipment quality grade is by falling two stages for the treatment of, and other electric pressure equipment quality grades are by falling coagulation.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, anyly belongs to those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (3)
1., based on a grid equipment quality classification method for multi-source information, it is characterized in that comprising the steps:
Step one, collect each supplier at the quantity of primary equipment run, electric pressure, the operation time limit, operational defect record, equipment Examined, fault is non-stops record and familial defect;
Step 2, using equipment state evaluate defect deduction of points table as individual defect deduction of points foundation, the defect of all devices is deducted points;
Step 3, calculate each supplier defect deduction of points mean value:
For certain supplier, the computing method of its defect deduction of points mean value are as follows:
(1) first calculate this supplier's defect deduction of points total value, defect deduction of points total value is the summation of all individual defect deduction of points values, is shown below:
Defect deduction of points total value=∑ (individual defect deduction of points value)
(2) calculate this supplier defect deduction of points mean value again, the ratio that defect deduction of points mean value be this supplier's defect deduction of points total value with it at operational outfit platform year number, be shown below, its unit is: divide/platform year:
Defect deduction of points mean value=defect deduction of points total value/at operational outfit platform year number
Being wherein that this supplier is all at operational outfit platform year number runs year number summation at operational outfit, is shown below:
In operational outfit platform year number=∑ (single at operational outfit operation year number)
Operation year number adopts the total number of days put into operation between day to evaluation day divided by 365, is shown below:
Run year number=day of putting into operation to total number of days/365 evaluated between day
Step 4, according to each supplier equipment deficiency deduction of points mean value equipment is divided into A, B, C, D, E five grades, first Normal distribution test is carried out to each vendor equipment defect deduction of points mean value, meet normal distribution, according to normal distribution determination equipment quality grade classification line, do not meet normal distribution, then determine equipment quality grade classification line according to " five period in arithmetrics ";
Step 5, degradation process: cause occurring breaking down in defective, the equipment running process of sampling observation non-stop or equipment by Guo Wang company or company of province circular familial defect, by vendor equipment quality grade by doing degradation process.
2., as claimed in claim 1 based on the grid equipment quality classification method of multi-source information, it is characterized in that doing degradation process in described step 5 is specially:
A () is inspected by random samples defective, if due to manufacturing process or design the reason such as unreasonable, material selection is improper and cause, this electric pressure equipment quality grade is by falling two stages for the treatment of, other electric pressure equipment quality grades are by falling coagulation, if caused by other accidentalia, this electric pressure equipment quality grade is by falling coagulation;
Break down in (b) equipment running process and cause non-stopping, if due to manufacturing process or design the reason such as unreasonable, material selection is improper and cause, this electric pressure equipment quality grade is by falling two stages for the treatment of, other electric pressure equipment quality grades are by falling coagulation, if caused by other accidentalia, this electric pressure equipment quality grade is by falling coagulation;
C () equipment is by Guo Wang company or company of province circular familial defect, this electric pressure equipment quality grade is by falling two stages for the treatment of, and other electric pressure equipment quality grades are by falling coagulation.
3. as claimed in claim 1 based on the grid equipment quality classification method of multi-source information, it is characterized in that described step 2 is specially: look the influence degree of individual defect to equipment safety operation, from light to being heavily divided into four grades, corresponding weight is respectively weight 1, weight 2, weight 3, weight 4, and its coefficient is 1,2,3,4; Depending on the degradation of individual defect from light to being heavily divided into level Four, be respectively I, II, III and IV grade, the basic deduction of points value of its correspondence is 2,4,8,10 points, individual defect value of should deducting points is determined jointly by defect degradation and defect weight, and namely the defect basic deduction of points value that value equals this defect of should deducting points is multiplied by weight coefficient.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107368673A (en) * | 2017-06-16 | 2017-11-21 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | power transformer familial defect identification method based on data mining |
| CN107589384A (en) * | 2017-08-29 | 2018-01-16 | 国网湖南省电力公司 | A kind of state evaluating method for DC power system |
| CN107884647A (en) * | 2017-11-06 | 2018-04-06 | 南京力通达电气技术有限公司 | Transformer fault early warning system based on data mining |
| CN107895197A (en) * | 2017-12-05 | 2018-04-10 | 广东电网有限责任公司电力科学研究院 | The concern threshold value calculation method and device of a kind of transformer defective data |
| CN108459269A (en) * | 2018-05-30 | 2018-08-28 | 国网江西省电力有限公司电力科学研究院 | A kind of 10kV pvs (pole-mounted vacuum switch)s state on-line evaluation method and apparatus |
| CN109520913A (en) * | 2018-11-22 | 2019-03-26 | 广西电网有限责任公司电力科学研究院 | A kind of appraisal procedure of in-service electric power line pole tower and metal frame etch state |
| CN109784666A (en) * | 2018-12-20 | 2019-05-21 | 国网北京市电力公司 | The detection method and device of equipment quality |
| CN112700018A (en) * | 2020-12-24 | 2021-04-23 | 中国电力科学研究院有限公司 | Method and system for evaluating state of power equipment based on fault rate |
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107368673A (en) * | 2017-06-16 | 2017-11-21 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | power transformer familial defect identification method based on data mining |
| CN107368673B (en) * | 2017-06-16 | 2020-08-11 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Power transformer familial defect identification method based on data mining |
| CN107589384A (en) * | 2017-08-29 | 2018-01-16 | 国网湖南省电力公司 | A kind of state evaluating method for DC power system |
| CN107884647A (en) * | 2017-11-06 | 2018-04-06 | 南京力通达电气技术有限公司 | Transformer fault early warning system based on data mining |
| CN107895197A (en) * | 2017-12-05 | 2018-04-10 | 广东电网有限责任公司电力科学研究院 | The concern threshold value calculation method and device of a kind of transformer defective data |
| CN108459269A (en) * | 2018-05-30 | 2018-08-28 | 国网江西省电力有限公司电力科学研究院 | A kind of 10kV pvs (pole-mounted vacuum switch)s state on-line evaluation method and apparatus |
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| CN109520913A (en) * | 2018-11-22 | 2019-03-26 | 广西电网有限责任公司电力科学研究院 | A kind of appraisal procedure of in-service electric power line pole tower and metal frame etch state |
| CN109520913B (en) * | 2018-11-22 | 2023-03-28 | 广西电网有限责任公司电力科学研究院 | Evaluation method for corrosion states of in-service transmission line tower and metal framework |
| CN109784666A (en) * | 2018-12-20 | 2019-05-21 | 国网北京市电力公司 | The detection method and device of equipment quality |
| CN112700018A (en) * | 2020-12-24 | 2021-04-23 | 中国电力科学研究院有限公司 | Method and system for evaluating state of power equipment based on fault rate |
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Application publication date: 20160316 |