CN107122919A - A kind of distribution efficiency estimation method and system based on intelligence operation - Google Patents
A kind of distribution efficiency estimation method and system based on intelligence operation Download PDFInfo
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- CN107122919A CN107122919A CN201710348495.0A CN201710348495A CN107122919A CN 107122919 A CN107122919 A CN 107122919A CN 201710348495 A CN201710348495 A CN 201710348495A CN 107122919 A CN107122919 A CN 107122919A
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The present invention relates to a kind of distribution efficiency estimation method based on intelligence operation and system, method comprises the following steps：（1）Obtain many indexes online matches somebody with somebody network operation business historical data；（2）That extracts each index one by one matches somebody with somebody network operation business historical data, and is fitted, and draws reliability scoring fitting function of each index with network operation business；（3）Set up the distribution assessment models based on the fitting function that scored with network operation business reliability, using the current data with network operation business as the distribution assessment models input, calculate and obtain the distribution assessed value that each index matches somebody with somebody network operation business, distribution measures of effectiveness total value is obtained to the various distribution assessed value summations with network operation business.
Description
Technical field
The present invention relates to distribution monitoring technical field, and in particular to a kind of distribution efficiency estimation method based on intelligence operation
And system.
Background technology
Traditional distribution measures of effectiveness, belongs to the rear assessment built up to distribution, assessment result have certain objectivity and
Reference significance, but it still suffers from very big deficiency, and the associativity being mainly manifested in distribution in itself is not strong, only from investment and income etc.
Pure fiscal perspective is estimated to distribution, it is impossible to comprehensively, definitely reflect actual benefit, efficiency, function that investment is produced to distribution,
So as to it is difficult to provide due guidance and reference to distribution construction.
The content of the invention
For the deficiencies in the prior art, the present invention proposes a kind of distribution measures of effectiveness side based on intelligence operation
Method, by obtaining detailed business data online, by distribution plan reasonability, distribution operational efficiency, matching net wire loss, breakdown repair and
Complain, circuit platform area have a power failure, Business Process System " seizing by the throat " the problems such as entering with network operation business historical data as various indexs
Row analysis, power supply capacity and the lifting situation of power supply quality before and after contrast project is gone into operation can be analyzed using the method for the present invention,
Formation project input and output quantitative analysis data, realize and are assessed after distribution project construction, it is ensured that accurate investment, lean management, essence
Thin O＆M.
The present invention uses following technical scheme：
A kind of distribution efficiency estimation method based on intelligence operation, comprises the following steps：
(1) obtain many indexes online matches somebody with somebody network operation business historical data；
(2) that extracts each index one by one matches somebody with somebody network operation business historical data, and is fitted, and draws each index
Reliability scoring fitting function with network operation business；
(3) the distribution assessment models based on the fitting function that scored with network operation business reliability are set up, network operation industry will be matched somebody with somebody
The current data of business as the distribution assessment models input, calculate obtain each index with network operation business match somebody with somebody on-Line review
The various distribution assessed value summations with network operation business are obtained distribution measures of effectiveness total value by valuation.
Further, the reliability scoring fitting function uses quadratic function, cubic function, logarithmic function, index letter
Number or power function.
Further, the distribution assessment models are：
Wherein Y in modelkFor with the reliability of network operation business scoring fitting function, PkFor output class index weights, IkFor
Class index weights are put into, k is distribution net platform region number.
Further, being fitted specific method is：
Number of parameters M to be asked is determined according to selected reliability scoring fitting function；
M is set to independent variable-dependent variable；
The M is substituted into independent variable-dependent variable in selected reliability scoring fitting function, reliability scoring is obtained
The expression formula of fitting function, is used as the reliability scoring fitting function with network operation business.
Further, the M is in independent variable-dependent variable, dependent variable is scoring, and independent variable is with network operation business history
Data.
Present invention also offers a kind of distribution Effectiveness Evaluation System based on intelligence operation, including：
Acquiring unit, matches somebody with somebody network operation business historical data for obtaining many indexes online；
Processor, including fitting unit, assessment unit and sum unit；
The fitting unit is used to extract each index one by one with network operation business historical data, and is fitted, and obtains
Go out reliability scoring fitting function of each index with network operation business；
The assessment unit is used to set up the distribution assessment models based on the fitting function that scores with network operation business reliability,
Using the current data with network operation business as the input of the distribution assessment models, calculate and obtain each index with network operation
The distribution assessed value of business；
The sum unit, it is total for obtaining distribution measures of effectiveness to the various distribution assessed value summations with network operation business
Value.
Further, in addition to acquiring unit the server being connected, goes through for storing many indexes with network operation business
History data.
Further, in addition to memory, one end of memory is connected with acquiring unit, the other end and fitting unit phase
Even, memory is used for the data of extracting acquiring unit and cached, and is fitted unit and transfers and handled.
Further, in addition to processor the display unit being connected, for showing the scoring of reliability index, distribution in real time
The value and distribution measures of effectiveness total value of assessment models.
Further, the processor also includes algoritic module, for being updated preservation to distribution assessment models.
Beneficial effects of the present invention：
Distribution is planned reasonability, distribution operational efficiency, with netting twine by the present invention by obtaining detailed business data online
The problems such as damage, breakdown repair and complaint, the power failure of circuit platform area, Business Process System " seizing by the throat ", matches somebody with somebody network operation industry as various indexs
Business historical data is analyzed, and has been integrated into input and output weight, and can analyze contrast project using the method for the present invention throws
The lifting situation of antenatal rear power supply capacity and power supply quality, forms project input and output quantitative analysis data, realizes distribution project
Assessed after construction, it is ensured that accurate investment, lean management, fine O＆M.
The present invention utilizes data mining technology simultaneously, it is possible to achieve the quantitative evaluation in advance to intending investment project feasibility study, drop
Low project puts into blindness, improves efficiency.
The characteristics of by studying power network input and output, carry out electric grid investment benefit Assessment theory and application study, in this base
More objective power network assessment indicator system is set up on plinth from social economy and financial two angles of internal control respectively
And assessment models, the assessment of achievable distribution of being powered to national size.
Brief description of the drawings
Accompanying drawing 1 is flow chart of the method for the present invention.
Embodiment：
The invention will be further described with embodiment below in conjunction with the accompanying drawings：
It is noted that described further below is all exemplary, it is intended to provide further instruction to the application.Unless another
Indicate, all technologies used herein and scientific terminology are with usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in this manual using term "comprising" and/or " bag
Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
A kind of exemplary embodiments of the present invention are a kind of distribution efficiency estimation methods based on intelligence operation, as shown in Figure 1：
Comprise the following steps：
(1) the online many indexes that obtain match somebody with somebody network operation business historical data；
(2) each index is extracted one by one with network operation business historical data, and is fitted, and show that each index is matched somebody with somebody
The reliability scoring fitting function of network operation business；
(3) the distribution assessment models based on the fitting function that scored with network operation business reliability are set up, network operation industry will be matched somebody with somebody
The current data of business as the distribution assessment models input, calculate obtain each index with network operation business match somebody with somebody on-Line review
The various distribution assessed value summations with network operation business are obtained distribution measures of effectiveness total value by valuation.
Further, the reliability scoring fitting function uses quadratic function, cubic function, logarithmic function, index letter
Number or power function.
Further, distribution assessment models are：
Wherein Y in modelkFor with the reliability of network operation business scoring fitting function, PkFor output class index weights, IkFor
Class index weights are put into, k is distribution net platform region number.
Being fitted specific method is：Number of parameters M to be asked is determined according to selected reliability scoring fitting function；If
M is determined to independent variable-dependent variable；M is substituted into independent variable-dependent variable in selected reliability scoring fitting function, obtaining can
By the expression formula of rate scoring fitting function, the reliability scoring fitting function with network operation business is used as.
M is in independent variable-dependent variable, dependent variable is scoring, and independent variable is with network operation business historical data.
An application based on above-described embodiment is given below：
Quadratic function, cubic function, logarithm letter are matched by the match somebody with somebody network operation business historical data not of the same race to constituent parts
Number, exponential function and power function are fitted analysis, cubic function degree of fitting highest, but calculate complexity, quadratic function and three times
The fitting degree of function is approximate, calculates relatively easy, therefore choose quadratic function (y=ax2+ bx ﹢ c) it is used as index scoring mould
Type.
By contrasting the constituent parts history index value of nearly 5 years, optimal index value, the standard for filtering out Rating Model x refer to
Scale value and minimum desired value, optimal index value, standard index value and the corresponding scoring y of minimum desired value be set to 100 points, 80
Point and 0 point, such as customer power supply reliability optimal value, standard value and minimum combinatorial coordinates be (1,100), (0.95,80) and
(0.8,0), then solve the value that One- place 2-th Order function draws a, b and c.It is as follows：
Show that the scoring fitting function of the reliability with network operation business is：
Then the scoring of the current data with network operation business is brought into distribution assessment models to carry out efficiency evaluation index
Calculating, the data of a certain index species of some unit are substituted into efficiency evaluation model, you can draw the corresponding efficiency of the unit
Evaluation number, each efficiency evaluation index plus and be the unit distribution measures of effectiveness total value.Matched somebody with somebody according to constituent parts distribution project
Net measures of effectiveness total value and all kinds of efficiency evaluation values to carry out analysis decision, reasonable distribution constituent parts ratio to distribution project.
One more embodiment of the present invention is a kind of distribution Effectiveness Evaluation System based on intelligence operation, including：
Acquiring unit, matches somebody with somebody network operation business historical data for obtaining many indexes online；
Processor, including fitting unit, assessment unit and sum unit；
Fitting unit is used to extract each index one by one with network operation business historical data, and is fitted, and draws every
A kind of reliability scoring fitting function of index with network operation business；
Assessment unit is used to set up the distribution assessment models based on the fitting function that scores with network operation business reliability, will match somebody with somebody
The current data of network operation business calculates as the input of the distribution assessment models and obtains each index with network operation business
Distribution assessed value；
Sum unit, for obtaining distribution measures of effectiveness total value to the various distribution assessed value summations with network operation business.
The present embodiment also includes the server being connected with acquiring unit, for storing many indexes with network operation business history
Data.
The present embodiment also includes memory, and one end of memory is connected with acquiring unit, and the other end is connected with fitting unit,
Memory is used for the data of extracting acquiring unit and cached, and is fitted unit and transfers and handled.
The present embodiment also includes the display unit being connected with processor, for showing the scoring of reliability index, distribution in real time
The value and distribution measures of effectiveness total value of assessment models.
Processor also includes algoritic module described in the present embodiment, for being updated preservation to distribution assessment models.
When existing distribution assessment models need to be updated improvement, model can be improved, enhance the system
Adaptability.
Distribution is planned reasonability, distribution operational efficiency, with netting twine by the present invention by obtaining detailed business data online
The problems such as damage, breakdown repair and complaint, the power failure of circuit platform area, Business Process System " seizing by the throat ", matches somebody with somebody network operation business history as various
Data are analyzed, and have been integrated into input and output weight, and it is front and rear to analyze the operation of contrast project using the method for the present invention
The lifting situation of power supply capacity and power supply quality, forms project input and output quantitative analysis data, realizes after distribution project construction
Assess, it is ensured that accurate investment, lean management, fine O＆M.
The present invention utilizes data mining technology simultaneously, it is possible to achieve the quantitative evaluation in advance to intending investment project feasibility study, drop
Low project puts into blindness, improves efficiency.The characteristics of by studying power network input and output, carry out electric grid investment benefit Assessment theory
With application study, set up respectively from financial two angles of social economy and internal control on this basis more objective
Power network assessment indicator system and assessment models, the assessment of achievable distribution of being powered to national size.
The preferred embodiment of the application is the foregoing is only, the application is not limited to, for the skill of this area
For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair
Change, equivalent substitution, improvement etc., should be included within the protection domain of the application.
Claims (10)
1. a kind of distribution efficiency estimation method based on intelligence operation, it is characterised in that comprise the following steps：
(1) obtain many indexes online matches somebody with somebody network operation business historical data；
(2) that extracts each index one by one matches somebody with somebody network operation business historical data, and is fitted, and draws each index distribution
The reliability scoring fitting function of operation business；
(3) the distribution assessment models based on the fitting function that scored with network operation business reliability are set up, by with network operation business
Current data calculates as the input of the distribution assessment models and obtains distribution assessment of each index with network operation business
The various distribution assessed value summations with network operation business are obtained distribution measures of effectiveness total value by value.
2. according to the method described in claim 1, it is characterised in that：Reliability scoring fitting function using quadratic function,
Cubic function, logarithmic function, exponential function or power function.
3. according to the method described in claim 1, it is characterised in that：The distribution assessment models are：
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Wherein Y in modelkFor with the reliability of network operation business scoring fitting function, PkFor output class index weights, IkFor input
Class index weights, k is distribution net platform region number.
4. method according to claim 2, it is characterised in that being fitted specific method is：
Number of parameters M to be asked is determined according to selected reliability scoring fitting function；
M is set to independent variable-dependent variable；
The M is substituted into independent variable-dependent variable in selected reliability scoring fitting function, reliability scoring fitting is obtained
The expression formula of function, is used as the reliability scoring fitting function with network operation business.
5. method according to claim 4, it is characterised in that the M in independent variable-dependent variable, dependent variable is scoring,
Independent variable is with network operation business historical data.
6. a kind of distribution Effectiveness Evaluation System based on intelligence operation based on claim 1, it is characterised in that including：
Acquiring unit, matches somebody with somebody network operation business historical data for obtaining many indexes online；
Processor, including fitting unit, assessment unit and sum unit；
The fitting unit is used to extract each index one by one with network operation business historical data, and is fitted, and draws every
A kind of reliability scoring fitting function of index with network operation business；
The assessment unit is used to set up the distribution assessment models based on the fitting function that scores with network operation business reliability, will match somebody with somebody
The current data of network operation business calculates as the input of the distribution assessment models and obtains each index with network operation business
Distribution assessed value；
The sum unit, for obtaining distribution measures of effectiveness total value to the various distribution assessed value summations with network operation business.
7. system according to claim 6, it is characterised in that also including the server being connected with acquiring unit, for depositing
Store up many indexes and match somebody with somebody network operation business historical data.
8. system according to claim 6, it is characterised in that also including memory, one end of memory and acquiring unit
It is connected, the other end is connected with fitting unit, the data that memory is used to extract acquiring unit are cached, and are fitted unit
Transfer and handled.
9. system according to claim 6, it is characterised in that also including the display unit being connected with processor, for reality
When show reliability index score, the value and distribution measures of effectiveness total value of distribution assessment models.
10. system according to claim 6, it is characterised in that the processor also includes algoritic module, for
Net assessment models are updated preservation.
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| CN201710348495.0A CN107122919B (en) | 2017-05-17 | 2017-05-17 | Distribution network efficiency evaluation method and system based on intelligent operation |
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| CN201710348495.0A CN107122919B (en) | 2017-05-17 | 2017-05-17 | Distribution network efficiency evaluation method and system based on intelligent operation |
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| CN107122919A true CN107122919A (en) | 2017-09-01 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111475772A (en) * | 2020-03-27 | 2020-07-31 | 微梦创科网络科技（中国）有限公司 | Capacity evaluation method and device |
| CN112529428A (en) * | 2020-12-16 | 2021-03-19 | 亚联（天津）信息技术有限责任公司 | Method and equipment for evaluating operation efficiency of bank outlet equipment |
| CN113127318A (en) * | 2021-04-01 | 2021-07-16 | 中科恒运股份有限公司 | Efficiency evaluation system of communication navigation equipment |
| CN117097639A (en) * | 2023-08-16 | 2023-11-21 | 广州尚全信息技术有限公司 | Real-time prompting method and system for network risk |
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| CN104899645A (en) * | 2015-04-03 | 2015-09-09 | 国家电网公司 | Evaluation system of urban power distribution network intelligent reconstruction |
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| CN104573947A (en) * | 2014-12-29 | 2015-04-29 | 国家电网公司 | Comprehensive evaluation method for low-voltage transformer areas of regional intelligent distribution network |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111475772A (en) * | 2020-03-27 | 2020-07-31 | 微梦创科网络科技（中国）有限公司 | Capacity evaluation method and device |
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| CN113127318A (en) * | 2021-04-01 | 2021-07-16 | 中科恒运股份有限公司 | Efficiency evaluation system of communication navigation equipment |
| CN117097639A (en) * | 2023-08-16 | 2023-11-21 | 广州尚全信息技术有限公司 | Real-time prompting method and system for network risk |
| CN117097639B (en) * | 2023-08-16 | 2024-01-30 | 广州尚全信息技术有限公司 | Real-time prompting method and system for network risk |
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