CN104574002A - Asset management information processing method based on big data analysis and asset management information processing device based on big data analysis - Google Patents
Asset management information processing method based on big data analysis and asset management information processing device based on big data analysis Download PDFInfo
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Abstract
The invention relates to an asset management information processing method based on big data analysis and a management information processing device based on big data analysis. The asset management information processing device comprises a client side, an application server and a database server, wherein the application server is connected with the client side and the database server respectively; the application server comprises a data integrating module, an asset current situation analyzing module, a target strategy making module, a planning module, a management system developing module, a supporting element developing module, an implementation process monitoring module and a performance accessing module. Compared with the prior art, the method has the advantages that a system engineering method, various evaluation models and a logic calculating method are applied to different analyzing modules, so that performance information of assets in asset life cycles of planning, designing, purchasing, constructing, operating and maintain, modifying, scrap processing and the like are planned as a whole, coordinated, managed and detected. The asset management information processing device has advantages of having functions of analyzing, monitoring and predicating asset management total-link work, providing data basis for making a company management strategy, improving the company quantitative decision level, and the like.
Description
Technical field
The present invention relates to a kind of asset management information treatment technology, especially relate to a kind of asset management information disposal route based on international asset management standard and large data analysis and device.
Background technology
Power grid enterprises belong to infrastructure service industry and public utilities, and power network safety operation involves the interests of the state and the people.Company is in the critical stage of inside and outside development leap phase.1) there is greatly change for electricity consumption situation and power system operating mode.Power supply and demand situation transfers supply and demand population equilibrium, more than needed to some extent to by lasting for years in short supply.2) the huge and overall versus young of asset size, though it is little, larger to be close to technological transformation in age assets ratio; Major network assets are in a good state of health, though old equipment accounting is little, scale absolute value should not be underestimated; Asset retirement, scrap management level and progressively improve, though the average service life of assets super financial period of depreciation, there is larger gap in more international advanced management level.3) problems such as the target existed in present stage management reality is inconsistent, flow process is not collaborative, action disunity.4) supervision strengthen, enterprise internal management general layout, employee crave for expect also not corresponding to the requirement of external constraint, be faced with very huge steady pressure and make the transition problem.Along with the rapid expansion of power grid asset scale and the fast lifting of asset management level, corporate assets management faces unprecedented challenge.
For successfully managing the various factors that corporate assets administrative institute faces, needing badly and building corresponding reply decision-making mechanism and method of work.Based on early stage assets whole-life cycle fee, lean production management, each Information System Integration and data combing normative standard achievement, by computer technology, As-Is analysis is carried out to corporate assets, for the affected vocational work of the following possibility of company, impact suffered by quantitative test related service, specify the vocational work emphasis of being correlated with future, guarantee company's future services stablizes sustainable development.
Summary of the invention
Object of the present invention be exactly in order to overcome above-mentioned prior art exist defect and a kind of asset management information disposal route based on large data analysis and device are provided, systematic approach is used in different analysis module, all kinds of evaluation model and logic computing method, make overall plans and coordinate also management and control and detect assets in planning, design, buying, build, O&M, transformation, scrap the performance information of the assets life cycle managements such as disposal, have the job analysis of asset management loopful joint, the function of monitoring and prediction, for company management's decision-making provides data basis, lifting company quantitative decision making level.
Object of the present invention can be achieved through the following technical solutions:
Based on an asset management information disposal route for international asset management standard and large data analysis, it is characterized in that, comprise the following steps:
(1) application server obtains stock assets information and management activity data from database server, and carries out integrated in its data integration module;
(2) stock assets information and asset management information are input in assets As-Is analysis module by data integration module, and wherein assets information comprises technical information, value information, the performance information of stock assets; Asset management information comprises the action message, performance information etc. in each stage of life cycle management, by analyzing the management status information obtaining assets present situation and each business bar line, and this information is sent to target strategy formulation module;
(3) input to target strategy formulate module accept from assets As-Is analysis module send assets and asset management exercise condition information, by the data processing that sets in module and logical calculated rule, export in the recent period, mid-term and long term attainable target in assets and asset management activity, and program plan, buying construction, operation maintenance and retiredly scrap four important management parameters of Main Stage.Wherein comprise electric power demand forecasting in the output in program plan stage, power supply and power balance situation etc.; The output of buying construction period comprises design selection standard, procurement criteria etc.; The output in operation maintenance stage comprises equipment state assessment level, overhaul principle, equipment risk evaluation result etc.; The output of retired disenabling stage comprises retired assets technology evaluation result etc.;
(4) planning module accepts the management parameters formulating module output from target strategy, by integrating above-mentioned parameter, generating Electric Power Network Planning, technological transformation planning, annual investment plan, yearly budget, MRP and batch plan, O&M turnaround plan, capital assets are retired scraps plan etc.;
(5) planning module exports work in every task, expense and progress msg and researches and develops module to management system, and concrete task mates with existing management activity rule by this module; The information such as the responsible party of task, resource distribution, timing node and expectation effect are also inputed to implementation process monitoring module, for the monitoring of work performance provides insufficient information by the module of planning simultaneously;
(6) management system research and development module generates management activity monitoring rule according to management system and this information is inputed to support the key element research and development module, by analyzing, this module outgoing traffic performs the risk probability and consequence, information needed system requirements that will produce, and training and personnel ability require;
(7) implementation process monitoring module accepts the assets that send from support the key element research and development module and relevant risk information, execution level and the information such as administration and supervision authorities capability evaluation result and requirement of information system of asset management activity, and the task of planning module input requires managing detailed catalogue, the links of monitoring task, guarantee that the Business Stream, information flow and the monetary value flow that produce in workflow can " three stream unifications ", collaborative from interdepartmental mission requirements;
(8) performance evaluation module acceptance exports from data integration module, the initial assets of company and asset management campaign performance information, and assets life cycle management each stage business that implementation process monitoring module exports performs detailed data and information, comprise the information such as gross investment, pogo plan fulfilling rate, reserve norm implementation rate, engineering construction risk assessment, the retired recycling amount of money, carry out equipment Inspection and generate performance indicator system and carry out monitoring analysis and early warning;
(9) performance evaluation module output device Real-time Monitoring Data, management performance Monitoring Indexes result, to implementation process monitoring module, strengthen process management and control and the monitoring of assets and asset management activity; Meanwhile, assets As-Is analysis module accepts assets that performance evaluation module exports and the relevant accident event investigation of asset management activity, compliance evaluation result, as the basis of formulating next step target and important process parameter.
Based on the device of the asset management information disposal route of large data analysis, comprise client, application server, database server, described application server is connected with client, database server respectively.
Described application server includes data integration module, assets As-Is analysis module, target strategy formulates module, planning module, management system researches and develops module, support the key element researches and develops module, implementation process monitoring module and performance evaluation module, described data integration module respectively with assets As-Is analysis module, performance evaluation model calling, described assets As-Is analysis module and target strategy formulate model calling, described target strategy formulates module and planning model calling, described planning module researches and develops module with management system respectively, implementation process monitoring module connects, described management system research and development module and support the key element research and develop model calling, described support the key element research and development module is connected with implementation process monitoring module, described implementation process monitoring module and performance evaluation model calling, described performance evaluation module and implementation process monitoring module and assets As-Is analysis model calling.
Compared with prior art, the present invention has the following advantages:
1) a set of asset management information disposal system based on international asset management standard is established, international advanced asset management requirement and administrative standard is analyzed by deep deciphering, its applicability on company management's framework of abundant identification, and build multiple data analysis module containing international asset management standard in conjunction with company management's feature, promote information processing level;
2) large data method is adopted, at the Monitoring Rules that asset management program plan, buying construction, operation maintenance and retired each stage of scrapping each link embedding logic and Assets Management are correlated with, analyze magnanimity stock assets data and the asset management action message of data integration module, promote level monitoring and the quantity decision ability of management activity;
3) pioneering by asset management activity related information under the framework of international asset management standard, use infosystem to process, to have promoted greatly in traditional sense qualitatively management mode to the conversion of quantitative management pattern.
Accompanying drawing explanation
Fig. 1 is process flow diagram of the present invention;
Fig. 2 is the hardware configuration schematic diagram that the present invention realizes;
Fig. 3 is application server structural representation of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
Embodiment
As shown in Figure 1, be a kind ofly applicable to the asset management information of forecasting disposal route of electric system based on assets wall, comprise the following steps:
(1) application server obtains stock assets information and management activity data from database server, and carries out integrated in its data integration module;
(2) stock assets information and asset management information are input in assets As-Is analysis module by data integration module, and wherein assets information comprises technical information, value information, the performance information of stock assets; Asset management information comprises the action message, performance information etc. in each stage of life cycle management, by analyzing the management status information obtaining assets present situation and each business bar line, and this information is sent to target strategy formulation module;
(3) input to target strategy formulate module accept from assets As-Is analysis module send assets and asset management exercise condition information, by the data processing that sets in module and logical calculated rule, export in the recent period, mid-term and long term attainable target in assets and asset management activity, and program plan, buying construction, operation maintenance and retiredly scrap four important management parameters of Main Stage.Wherein comprise electric power demand forecasting in the output in program plan stage, power supply and power balance situation etc.; The output of buying construction period comprises design selection standard, procurement criteria etc.; The output in operation maintenance stage comprises equipment state assessment level, overhaul principle, equipment risk evaluation result etc.; The output of retired disenabling stage comprises retired assets technology evaluation result etc.;
(4) planning module accepts the management parameters formulating module output from target strategy, by integrating above-mentioned parameter, generating Electric Power Network Planning, technological transformation planning, annual investment plan, yearly budget, MRP and batch plan, O&M turnaround plan, capital assets are retired scraps plan etc.;
(5) planning module exports work in every task, expense and progress msg and researches and develops module to management system, and concrete task mates with existing management activity rule by this module; The information such as the responsible party of task, resource distribution, timing node and expectation effect are also inputed to implementation process monitoring module, for the monitoring of work performance provides insufficient information by the module of planning simultaneously;
(6) management system research and development module generates management activity monitoring rule according to management system and this information is inputed to support the key element research and development module, by analyzing, this module outgoing traffic performs the risk probability and consequence, information needed system requirements that will produce, and training and personnel ability require;
(7) implementation process monitoring module accepts the assets that send from support the key element research and development module and relevant risk information, execution level and the information such as administration and supervision authorities capability evaluation result and requirement of information system of asset management activity, and the task of planning module input requires managing detailed catalogue, the links of monitoring task, guarantee that the Business Stream, information flow and the monetary value flow that produce in workflow can " three stream unifications ", collaborative from interdepartmental mission requirements;
(8) performance evaluation module acceptance exports from data integration module, the initial assets of company and asset management campaign performance information, and assets life cycle management each stage business that implementation process monitoring module exports performs detailed data and information, comprise the information such as gross investment, pogo plan fulfilling rate, reserve norm implementation rate, engineering construction risk assessment, the retired recycling amount of money, carry out equipment Inspection and generate performance indicator system and carry out monitoring analysis and early warning;
(9) performance evaluation module output device Real-time Monitoring Data, management performance Monitoring Indexes result, to implementation process monitoring module, strengthen process management and control and the monitoring of assets and asset management activity; Meanwhile, assets As-Is analysis module accepts assets that performance evaluation module exports and the relevant accident event investigation of asset management activity, compliance evaluation result, as the basis of formulating next step target and important process parameter.
As shown in Figure 2 and Figure 3, hardware configuration of the present invention comprises client a, application server b, database server c, described application server b is connected with client a, database server c respectively, and described application server b includes data integration module 1, assets As-Is analysis module 2, target strategy formulates module 3, planning module 4, management system researches and develops module 5, support the key element researches and develops module 6, implementation process monitoring module 7 and performance evaluation module 8, described data integration module 1 respectively with assets As-Is analysis module 2, performance evaluation module 8 connects, described assets As-Is analysis module 2 is formulated module 3 with target strategy and is connected, described target strategy is formulated module 3 and is connected with planning module 4, described planning module 4 researches and develops module 5 with management system respectively, implementation process monitoring module 7 connects, described management system research and development module 5 is researched and developed module 6 with support the key element and is connected, described support the key element research and development module 6 is connected with implementation process monitoring module 7, described implementation process monitoring module 7 is connected with performance evaluation module 8, described performance evaluation module 8 is connected with implementation process monitoring module 7 and assets As-Is analysis module 2.
Claims (6)
1., based on an asset management information disposal route for large data analysis, it is characterized in that, comprise the following steps:
(1) application server obtains stock assets information and management activity data from database server, and carries out integrated in its data integration module;
(2) stock assets information and asset management information are input in assets As-Is analysis module by data integration module, by analyzing the management status information obtaining assets present situation and each business bar line, and this information are sent to target strategy formulation module;
(3) input to target strategy formulate module accept from assets As-Is analysis module send assets and asset management exercise condition information, by the data processing that sets in module and logical calculated rule, export in the recent period, mid-term and long term attainable target in assets and asset management activity, and program plan, buying construction, operation maintenance and retiredly scrap the important management parameters of four-stage;
(4) planning module accepts the management parameters formulating module output from target strategy, by integrating above-mentioned parameter, generating Electric Power Network Planning, technological transformation planning, annual investment plan, yearly budget, MRP and batch plan, O&M turnaround plan, capital assets are retired scraps plan information;
(5) planning module exports work in every task, expense and progress msg and researches and develops module to management system, and concrete task mates with existing management activity rule by this module; The responsible party of task, resource distribution, timing node and expectation performance information are also inputed to implementation process monitoring module by the module of planning simultaneously, for the monitoring of work performance provides insufficient information;
(6) management system research and development module generates management activity monitoring rule according to management system and this information is inputed to support the key element research and development module, by analyzing, this module outgoing traffic performs the risk probability and consequence, information needed system requirements that will produce, and training and personnel ability require information;
(7) implementation process monitoring module receives the assets that send from support the key element research and development module and relevant risk information, execution level and the administration and supervision authorities capability evaluation result of asset management activity and requirement of information system information, and the task of planning module input requires managing detailed catalogue, the links of monitoring task, guarantee that the Business Stream, information flow and the monetary value flow that produce in workflow can " three stream unifications ", collaborative from interdepartmental mission requirements;
(8) performance evaluation module acceptance exports from data integration module, the initial assets of company and asset management campaign performance information, and assets life cycle management each stage business that implementation process monitoring module exports performs detailed data and information, comprise gross investment, pogo plan fulfilling rate, reserve norm implementation rate, engineering construction risk assessment, retired recycling amount information, carry out equipment Inspection and generate performance indicator system and carry out monitoring analysis and early warning;
(9) performance evaluation module output device Real-time Monitoring Data, management performance Monitoring Indexes result, to implementation process monitoring module, strengthen process management and control and the monitoring of assets and asset management activity; Meanwhile, assets As-Is analysis module accepts assets that performance evaluation module exports and the relevant accident event investigation of asset management activity, compliance evaluation result information, as the basis of formulating next step target and important process parameter.
2. a kind of asset management information disposal route based on large data analysis according to claim 1, is characterized in that, the assets information in described step (2) comprises technical information, value information, the performance information of stock assets; Asset management information comprises action message, the performance information in each stage of life cycle management.
3. a kind of asset management information disposal route based on large data analysis according to claim 1, is characterized in that, the output in the program plan stage in described step (3) comprises electric power demand forecasting, power supply and power balance situation; The output of buying construction period comprises design selection standard, procurement criteria; The output in operation maintenance stage comprises equipment state assessment level, overhaul principle, equipment risk evaluation result; The output of retired disenabling stage comprises retired assets technology evaluation result.
4. a kind of asset management information disposal route based on large data analysis according to claim 1, it is characterized in that, by asset management activity related information under the framework of international asset management standard, use infosystem process, in promotion qualitatively management mode to the conversion of quantitative management pattern.
5. the device of a described asset management information disposal route based on large data analysis according to claim 1, it is characterized in that, comprise client, application server, database server, described application server is connected with client, database server respectively.
6. the device of a kind of asset management information disposal route based on large data analysis according to claim 5, it is characterized in that, described application server includes data integration module, assets As-Is analysis module, target strategy formulates module, planning module, management system researches and develops module, support the key element researches and develops module, implementation process monitoring module and performance evaluation module, described data integration module respectively with assets As-Is analysis module, performance evaluation model calling, described assets As-Is analysis module and target strategy formulate model calling, described target strategy formulates module and planning model calling, described planning module researches and develops module with management system respectively, implementation process monitoring module connects, described management system research and development module and support the key element research and develop model calling, described support the key element research and development module is connected with implementation process monitoring module, described implementation process monitoring module and performance evaluation model calling, described performance evaluation module and implementation process monitoring module and assets As-Is analysis model calling.
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