CN102663566A - Asset management decision analysis information processing method suitable for power system - Google Patents
Asset management decision analysis information processing method suitable for power system Download PDFInfo
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- CN102663566A CN102663566A CN2012101250113A CN201210125011A CN102663566A CN 102663566 A CN102663566 A CN 102663566A CN 2012101250113 A CN2012101250113 A CN 2012101250113A CN 201210125011 A CN201210125011 A CN 201210125011A CN 102663566 A CN102663566 A CN 102663566A
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Abstract
The invention relates to an asset management decision analysis information processing method suitable for a power system. The method includes the following steps that a state evaluation module performs an analysis according to equipment asset data and asset history technical data, and equipment asset failure rate information and equipment asset state information are output; a risk assessment module can perform a monomer asset risk quantitative analysis by combining equipment asset importance grade and failure damage extent, and monetization value-at-risk information of individual equipment is output; a life cycle cost analysis module outputs life cycle cost information and technical and economic life information of the asset; and a management strategy analysis module is used for analyzing to obtain different types of asset management strategy information. Compared with methods in the prior art, the asset management decision analysis information processing method has the advantages that a set of a decision analysis informatization system integrated with state evaluation, risk evaluation, technical and economic evaluation and management strategies is established, and an integration of an equipment state management from bottom to top and an asset strategy management from top to bottom is achieved, and the like.
Description
Technical field
The present invention relates to a kind of asset management decision analysis signal conditioning package, especially relate to a kind of asset management decision analysis information processing method that is applicable to electric system.
Background technology
Power grid enterprises belong to infrastructure service industry and PW, and power network safety operation involves the interests of the state and the people.Simultaneously power grid enterprises are typical capital-intensive enterprises, and electrical network assets value amount is huge.Guaranteeing power network safety operation, ensure power supply reliability, improve power grid operation efficient, is the top priority that power grid enterprises face.Acceleration along with power network development; Problem under the asset management mode in the past progressively manifests; Mainly show as following some: 1) bring great impact for the concrete work of each link to the asset pricing ratio of depreciation in the supervision of following electricity price, especially prolong the influence that is brought operational management because of the equipment operating period.2) electric weight progressively gets into the stage of stable development after rapid growth, and the electricity sales amount speedup ranks behind in the whole nation.3) reliability has reached higher level, needs high-order the breakthrough future, will face high capital input and handling cost pressure.4) corporate assets input in Shanghai concentrates in the period of the 2004-2010; Predict that according to the assets wall following 5-15 will be the concentrated transformation phase of electrical network assets; Large-scale concentrated the transformation not only brought very big influence to the reliability of electrical network, faces also for the future enterprise transformation funds and brings immense pressure.
Electric power enterprise is needed badly and is set up informationalized grid equipment assets Technological Economy life assessment method and operating strategy; The development internal and external environment requirement of adaptation company; Solving the key problem that concrete vocational work is faced in lean promotes, is that the business system of core is laid solid foundation for setting up and improve with equipment (assets) management.
Summary of the invention
The object of the invention is exactly for the defective that overcomes above-mentioned prior art existence a kind of asset management decision analysis information processing method that is applicable to electric system to be provided.
The object of the invention can be realized through following technical scheme:
A kind of asset management decision analysis information processing method that is applicable to electric system is characterized in that, may further comprise the steps:
1) the state estimation module in the application server is analyzed according to the assets history technical data of extracting in the asset of equipments data of the needs analysis of client input and the database server, exports the status information of this asset of equipments failure rate information and asset of equipments;
2) the state estimation module inputs to risk evaluation module with the probability of malfunction information of this asset of equipments; Risk evaluation module combines this asset of equipments importance rate, breakdown loss degree; Carry out the quantitative analysis of monomer asset risk; The value-at-risk information of output individual equipment monetization, i.e. the fault of single assets punishment cost;
3) life cycle cost analysis module withdrawal of assets historical value data from database server, the life cycle cost information and the Technological Economy life information of output assets;
4) status information, value-at-risk information, life cycle cost information, Technological Economy life information, the inside and outside constraint requirements information with assets inputs to the operating strategy analysis module and analyzes; Obtain dissimilar asset management policy information, and send to client and represent.
Described breakdown loss degree comprises the breakdown loss information of equipment, electrical network, three dimensions of society.
Described life cycle cost information comprises capital property input cost, O&M cost, the cost of overhaul, failure cost and cost of disposal information.
Compared with prior art, the present invention has the following advantages:
1) set up one and overlapped the decision analysis information system of comprehensive state evaluation, risk assessment, technical and economic evaluation and operating strategy; Realized equipment state management from bottom to top; And the integral fusion of top-down assets tactical management; The state evaluation model provides the quantitative evaluation value of present situation and following probability of malfunction, and equipment risk quantification assessment models slave unit, electrical network, three dimensions of society are analyzed the equipment value-at-risk of monetization, utilization risk assessment quantitative analysis method; Use for reference the EUAC analytical approach; Utilization overall life cycle cost model, from Technological Economy angle COMPREHENSIVE CALCULATING equipment (assets) the Optimal Replacement time limit, comprehensive managerial decision model can be asset of equipments increase-volume, technological transformation, maintenance, retired and dispose strategy (or combination of strategy) the optimizing decision foundation is provided from the Technological Economy angle.
2) this device promotes corporate assets life-cycle cycle management quantification decision basis, strengthens quantitative assets Technological Economy decision making package instrument, is to improve the corporate assets management level, alleviates inside and outside pressure, promotes company's stable development establish a firm foundation.
Description of drawings
Fig. 1 is a hardware configuration synoptic diagram of the present invention;
Fig. 2 is an application server structural representation of the present invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is elaborated.
Embodiment
A kind of asset management decision analysis information processing method that is applicable to electric system may further comprise the steps:
1) the state estimation module in the application server is analyzed according to the assets history technical data of extracting in the asset of equipments data of the needs analysis of client input and the database server, exports the status information of this asset of equipments failure rate information and asset of equipments;
2) the state estimation module inputs to risk evaluation module with the probability of malfunction information of this asset of equipments; Risk evaluation module combines this asset of equipments importance rate, breakdown loss degree; Carry out the quantitative analysis of monomer asset risk; The value-at-risk information of output individual equipment monetization, i.e. the fault of single assets punishment cost;
3) life cycle cost analysis module withdrawal of assets historical value data from database server, the life cycle cost information and the Technological Economy life information of output assets;
4) status information, value-at-risk information, life cycle cost information, Technological Economy life information, the inside and outside constraint requirements information with assets inputs to the operating strategy analysis module and analyzes; Obtain dissimilar asset management policy information, and send to client and represent.
Described breakdown loss degree comprises the breakdown loss information of equipment, electrical network, three dimensions of society.Described life cycle cost information comprises capital property input cost, O&M cost, the cost of overhaul, failure cost and cost of disposal information.
As shown in Figure 1, hardware configuration of the present invention comprises client a, application server b and database server c, and described application server b is connected with client a, database server c respectively.
Described application server b comprises state estimation module 1, risk assessment module 2, life cycle cost analysis module 3 and operating strategy analysis module 4; Described state estimation module 1 is connected with risk assessment module 2; Described risk assessment module 2 interconnects with life cycle cost analysis module 3, and described operating strategy analysis module 4 is connected with state estimation module 1, risk assessment module 2, life cycle cost analysis module 3 respectively.
Claims (3)
1. an asset management decision analysis information processing method that is applicable to electric system is characterized in that, may further comprise the steps:
1) the state estimation module in the application server is analyzed according to the assets history technical data of extracting in the asset of equipments data of the needs analysis of client input and the database server, exports the status information of this asset of equipments failure rate information and asset of equipments;
2) the state estimation module inputs to risk evaluation module with the probability of malfunction information of this asset of equipments; Risk evaluation module combines this asset of equipments importance rate, breakdown loss degree; Carry out the quantitative analysis of monomer asset risk; The value-at-risk information of output individual equipment monetization, i.e. the fault of single assets punishment cost;
3) life cycle cost analysis module withdrawal of assets historical value data from database server, the life cycle cost information and the Technological Economy life information of output assets;
4) status information, value-at-risk information, life cycle cost information, Technological Economy life information, the inside and outside constraint requirements information with assets inputs to the operating strategy analysis module and analyzes; Obtain dissimilar asset management policy information, and send to client and represent.
2. a kind of asset management decision analysis information processing method that is applicable to electric system according to claim 1 is characterized in that, described breakdown loss degree comprises the breakdown loss information of equipment, electrical network, three dimensions of society.
3. a kind of asset management decision analysis information processing method that is applicable to electric system according to claim 1; It is characterized in that described life cycle cost information comprises capital property input cost, O&M cost, the cost of overhaul, failure cost and cost of disposal information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN2012101250113A CN102663566A (en) | 2012-04-25 | 2012-04-25 | Asset management decision analysis information processing method suitable for power system |
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| CN2012101250113A CN102663566A (en) | 2012-04-25 | 2012-04-25 | Asset management decision analysis information processing method suitable for power system |
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| CN102663566A true CN102663566A (en) | 2012-09-12 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103077435A (en) * | 2012-12-24 | 2013-05-01 | 江西省电力科学研究院 | SEC (Securities and Exchange Commission) index evaluation method based on combination weighting comprehensive evaluation model |
| CN104574002A (en) * | 2015-02-09 | 2015-04-29 | 国网上海市电力公司 | Asset management information processing method based on big data analysis and asset management information processing device based on big data analysis |
| CN104616090A (en) * | 2014-11-19 | 2015-05-13 | 南昌大学 | Risk evaluation based cable overhaul strategy method |
| CN108346002A (en) * | 2018-02-12 | 2018-07-31 | 深圳云图智联技术有限公司 | Front end for substation's Analysis of Risk Control shows method and its system |
| CN112330152A (en) * | 2020-11-05 | 2021-02-05 | 华润电力技术研究院有限公司 | Water supply pump state evaluation and operation and maintenance method and system based on data fusion |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101162247A (en) * | 2006-10-13 | 2008-04-16 | 黑龙江大学 | Sub-health running status recognition method of electrical device |
| CN101661588A (en) * | 2009-09-27 | 2010-03-03 | 重庆大学 | Equipment maintenance intelligent coordinated decision system and method based on multi-Agent |
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2012
- 2012-04-25 CN CN2012101250113A patent/CN102663566A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101162247A (en) * | 2006-10-13 | 2008-04-16 | 黑龙江大学 | Sub-health running status recognition method of electrical device |
| CN101661588A (en) * | 2009-09-27 | 2010-03-03 | 重庆大学 | Equipment maintenance intelligent coordinated decision system and method based on multi-Agent |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103077435A (en) * | 2012-12-24 | 2013-05-01 | 江西省电力科学研究院 | SEC (Securities and Exchange Commission) index evaluation method based on combination weighting comprehensive evaluation model |
| CN104616090A (en) * | 2014-11-19 | 2015-05-13 | 南昌大学 | Risk evaluation based cable overhaul strategy method |
| CN104616090B (en) * | 2014-11-19 | 2017-11-21 | 南昌大学 | Cable Strategies of Maintenance method based on risk assessment |
| CN104574002A (en) * | 2015-02-09 | 2015-04-29 | 国网上海市电力公司 | Asset management information processing method based on big data analysis and asset management information processing device based on big data analysis |
| CN104574002B (en) * | 2015-02-09 | 2018-04-24 | 国网上海市电力公司 | Asset management information processing method and processing device based on big data analysis |
| CN108346002A (en) * | 2018-02-12 | 2018-07-31 | 深圳云图智联技术有限公司 | Front end for substation's Analysis of Risk Control shows method and its system |
| CN112330152A (en) * | 2020-11-05 | 2021-02-05 | 华润电力技术研究院有限公司 | Water supply pump state evaluation and operation and maintenance method and system based on data fusion |
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Owner name: STATE GRID CORPORATION OF CHINA Effective date: 20121121 |
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Effective date of registration: 20121121 Address after: 200122 Shanghai City, Pudong New Area source deep road, No. 1122 Applicant after: Shanghai Electric Power Corporation Applicant after: State Grid Corporation of China Address before: 200122 Shanghai City, Pudong New Area source deep road, No. 1122 Applicant before: Shanghai Electric Power Corporation |
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Application publication date: 20120912 |