CN113902208A - Intelligent auxiliary optimization method for production plan - Google Patents
Intelligent auxiliary optimization method for production plan Download PDFInfo
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- CN113902208A CN113902208A CN202111216400.2A CN202111216400A CN113902208A CN 113902208 A CN113902208 A CN 113902208A CN 202111216400 A CN202111216400 A CN 202111216400A CN 113902208 A CN113902208 A CN 113902208A
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Abstract
The invention discloses an intelligent auxiliary optimization method for a production plan, which comprises the following steps: the annual plan is an operation and maintenance plan of the next year at the end of each year, and the contents of optimal arrangement of the annual plan comprise manual arrangement, intelligent arrangement auxiliary analysis and arrangement result analysis. The intelligent auxiliary optimization method for the production plan enables the arrangement to be more accurate, greatly reduces the arrangement error of the production plan, ensures the safe operation of a power grid, and ensures the operation and maintenance plan which is performed by providing high-quality and reliable electric energy for customers.
Description
Technical Field
The invention relates to the technical field of intelligent auxiliary optimization of production plans, in particular to an intelligent auxiliary optimization method of a production plan.
Background
The current system has a certain difference with the technical requirements of comparison of technical specifications of equipment state monitoring and evaluation system master station application functions, technical specifications of equipment state monitoring and evaluation system master station system platforms, evaluation standards of equipment state monitoring and evaluation center of south China network and the like, and mainly shows that the data access intermediate links are too many, the stability and the data quality of a data channel are not high, the functions of basic evaluation, risk evaluation, operation and maintenance decision and the like need to be further perfected and improved, and operation and maintenance strategies need to be opened to planned automatic generation and the like.
The existing production planning does not have an intelligent planning technology, so that the planning result is easy to make mistakes, and the error after the planning is large.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method provides an intelligent auxiliary optimization method for a production plan, and aims to solve the technical problems in the prior art.
The technical scheme adopted by the invention is as follows: an intelligent auxiliary optimizing method for a production plan comprises the following steps: the annual plan is an operation and maintenance plan of the next year at the end of each year, and the contents of optimal arrangement of the annual plan comprise manual arrangement, intelligent arrangement auxiliary analysis and arrangement result analysis.
The manual layout comprises two modes of traditional form layout and visual layout.
The traditional form arrangement is that the production plan is quickly positioned for editing and arranging through the functions of comprehensive query, multi-category sequencing and the like, and auxiliary support can be provided through the functions of grouping setting, statistical analysis and the like.
The visualization arrangement is based on a visualization technology to develop a graphical arrangement tool so as to improve the working efficiency of manual arrangement. The visual arrangement can conveniently and quickly realize the adjustment of the time range and the planning time of the equipment, and can dynamically calculate and clearly display various concerned statistical indexes. In order to better realize assistant decision, dynamic rule check is needed to be carried out on the adjustment of the plan, and when the condition of rule violation occurs, alarm can be timely carried out. The verification of the planning at least comprises the verification of a power grid safety rule, the verification of an equipment safety rule, the verification of a team work gauge rule and the like.
The intelligent arrangement auxiliary analysis firstly needs to automatically and comprehensively group maintenance work tasks associated with the same power failure equipment according to the topological connection relation of the power grid equipment, so that power failure is arranged overall, and repeated shutdown is reduced; secondly, automatic calculation of various index data influencing the optimization target needs to be realized; on the basis of realizing automatic calculation of various index data, the composite optimization of the maintenance plan is finally realized through a plan optimization arrangement algorithm, and the analysis and selection of a plan optimization scheme are assisted and supported through the calculation of evaluation indexes.
The automatic calculation of various index data comprises the steps of calculating equipment health indexes, failure rates and reliability by configuring aging coefficients and monitoring repair factors; calculating the self loss risk, the load loss amount, the power failure time and the load loss risk of the equipment through the configuration of the maintenance time and the maintenance cost, and further calculating the fault risk of the power grid; by configuring maintenance time, maintenance cost, planned power failure time and the like, equipment maintenance cost, planned load loss and random load loss are calculated, and further power grid maintenance risk is calculated; and calculating the overhaul income of the equipment by calculating the fault probability before overhaul, the fault probability after overhaul and the risk difference before and after overhaul.
And after the annual plan is scheduled, the scheduling result is comprehensively analyzed, including calculation of various statistical indexes, reminding of special plans needing attention and warning reminding of plans violating scheduling rules.
The production plan intelligent auxiliary optimization method also comprises a dynamic plan optimization method: and performing temporary operation and maintenance planning after the equipment has faults or defects and the like, and performing optimization on the dynamic plan by combining with the planned annual plan.
The invention has the beneficial effects that: compared with the prior art, the production plan intelligent auxiliary optimization method enables the arrangement to be more accurate, greatly reduces the production plan arrangement error, ensures the safe operation of a power grid, and ensures the operation and maintenance plan which is performed by providing high-quality and reliable electric power for customers.
Detailed Description
The invention is further described below with reference to specific examples.
Example 1: an intelligent auxiliary optimizing method for a production plan comprises the following steps: the production plan is an operation and maintenance plan which is performed by a power supply department for ensuring safe and reliable operation of a power grid and providing high-quality and reliable electric power for customers, the annual plan is an operation and maintenance plan of the next year which is made at the end of each year, and the contents of optimal arrangement of the annual plan comprise manual arrangement, intelligent arrangement auxiliary analysis and arrangement result analysis.
The auxiliary optimization method firstly needs to have the function of manually arranging the production plan. The manual arrangement can make full use of the business experience of the equipment management personnel. The manual arrangement comprises two modes of traditional form arrangement and visual arrangement; the traditional form arrangement is that the production plan is quickly positioned for editing and arranging through the functions of comprehensive query, multi-category ordering and the like, and auxiliary support can be provided through the functions of grouping setting, statistical analysis and the like; the visualization arrangement is based on a visualization technology to develop a graphical arrangement tool so as to improve the working efficiency of manual arrangement. The visual arrangement can conveniently and quickly realize the adjustment of the time range and the planning time of the equipment, and can dynamically calculate and clearly display various concerned statistical indexes. In order to better realize assistant decision, dynamic rule check is needed to be carried out on the adjustment of the plan, and when the condition of rule violation occurs, alarm can be timely carried out. The verification of the planning at least comprises the verification of a power grid safety rule, the verification of an equipment safety rule, the verification of a team work gauge rule and the like.
Intelligent arrangement auxiliary analysis: under the condition of condition maintenance, because the maintenance grade of the equipment in a certain condition has multiple choices, different maintenance grades can generate different influences on the factors such as the equipment maintenance time, the equipment maintenance cost, the improvement degree of the equipment condition and the like, thereby influencing the arrangement of the equipment maintenance time.
The intelligent arrangement auxiliary analysis firstly needs to automatically and comprehensively group maintenance work tasks associated with the same power failure equipment according to the topological connection relation of the power grid equipment, so that power failure is arranged overall, and repeated shutdown is reduced; secondly, automatic calculation of various index data influencing the optimization target needs to be realized; on the basis of realizing automatic calculation of various index data, the composite optimization of the maintenance plan is finally realized through a plan optimization arrangement algorithm, and the analysis and selection of a plan optimization scheme are assisted and supported through the calculation of evaluation indexes.
The automatic calculation of various index data comprises the steps of calculating equipment health indexes, fault rates and reliability by configuring aging coefficients and monitoring repair factors; calculating the self loss risk, the load loss amount, the power failure time and the load loss risk of the equipment through the configuration of the maintenance time and the maintenance cost, and further calculating the fault risk of the power grid; by configuring maintenance time, maintenance cost, planned power failure time and the like, equipment maintenance cost, planned load loss and random load loss are calculated, and further power grid maintenance risk is calculated; and calculating the overhaul income of the equipment by calculating the fault probability before overhaul, the fault probability after overhaul and the risk difference before and after overhaul.
And after the annual plan is scheduled, the scheduling result is comprehensively analyzed, including calculation of various statistical indexes, reminding of special plans needing attention and warning reminding of plans violating scheduling rules. The comprehensive analysis of the arrangement results can help the equipment management personnel to realize the overall overview of the annual production plan and realize the overall grasp of the working quality of the annual production plan.
The production plan intelligent auxiliary optimization method also comprises a dynamic plan optimization method: the temporary operation and maintenance plan is carried out after the equipment has faults or defects and the like, the dynamic plan is optimized by combining with the planned annual plan, and the feasibility and the reasonability of the plan can be effectively improved by the dynamic plan optimizing method.
Traditional form layout: the system should provide a traditional form arrangement mode, can display dynamic plans and other related arranged plans, can quickly position the dynamic plans for editing and arranging through functions of comprehensive query, multi-class arrangement and the like, and can provide auxiliary support through functions of grouping setting, statistical analysis and the like.
Visual arrangement: the visualization arrangement is based on a visualization technology to develop a graphical arrangement tool so as to improve the working efficiency of manual arrangement. The visual arrangement can conveniently and quickly realize the adjustment of the time range and the planning time of the equipment, and can dynamically calculate and clearly display various concerned statistical indexes.
In order to better realize assistant decision, dynamic rule check is needed to be carried out on the adjustment of the plan, and when the condition of rule violation occurs, alarm can be timely carried out. The verification of the planning at least comprises the verification of a power grid safety rule, the verification of an equipment safety rule, the verification of a team work gauge rule and the like.
Planning comprehensive analysis: the plan comprehensive analysis is to comprehensively analyze the business rules of a single plan to be arranged, such as comprehensively analyzing and reminding the maintenance work task associated with the equipment according to the topological relation of the power grid; carrying out equipment maintenance conflict mutual exclusion analysis according to the rules of power grid safety, equipment safety and the like, and realizing calculation and reminding of an infeasible solution; and comprehensively displaying the history plans related to the equipment to provide auxiliary support functions.
And (3) analyzing the editing result: the editing result analysis is to perform comprehensive analysis on the edited dynamic plan, such as calculating various statistical indexes, reminding a special plan needing attention, warning a plan violating an editing rule, and the like. The comprehensive analysis of the arrangement results can help the equipment management personnel to realize the overall overview of the dynamic production plan and realize the overall grasp of the working quality of the dynamic production plan.
And (3) constraint rule maintenance management: the production plan arrangement rule is the most main configuration for realizing the intelligent auxiliary optimization of the production plan, the arrangement plan is verified and analyzed according to the configured rule, and the plan violating the rule is subjected to alarm prompt so as to ensure the correctness of the production plan arrangement.
The constraint rules comprise power grid safety constraint rules, equipment safety constraint rules, team workload constraint rules and other extensible rules. The configuration of the rules directly relates to the orchestration quality of the production plan.
And (3) query statistics: the query and statistics function of the production plan can be realized, the function of querying the production plan according to multiple angles such as professions, plan types, states, departments, places and the like is supported, and operation and maintenance measures related to the production plan can be queried. The system has the function of counting the production plan according to the execution state of the plan, the planned department, the year, the type and the like and performing data comparison and analysis.
The query filter function is provided, flexible query condition combination and customization function are provided, query conditions can be stored, display items of query results can be customized and exported to different files, the statistical results can be associated with query original data, and statistical charts and data items can also be exported in a packaging mode.
Basic analysis: the basic analysis of the production plan refers to the comparison and analysis of the difference of the production plan in each stage by combining the execution feedback condition of the production plan, the difference before optimization and the difference after optimization, so as to realize the effectiveness and benefit analysis of various models and rules, such as the execution condition analysis of the production plan, the optimization level analysis of the production plan, the automatic generation level analysis of the production plan and the like, so as to optimize the models and rules in each stage and improve the effectiveness of the generation and optimization of the production plan.
The data caching mechanism used is as follows: caching refers to storing data in a storage medium with a relatively high access speed for processing by the system. On one hand, the cache access speed is high, the data access time can be reduced, and on the other hand, if the cached data is obtained through calculation processing, the cached data can be directly used without repeated calculation, so that the cache can reduce the calculation time.
Data buffering used in a production plan intelligent auxiliary optimizing method of a large power grid risk assessment and differentiation operation and maintenance system is introduced into a cache server, a Hibernate cache mechanism is adopted and comprises a first-level cache and a second-level cache (including query cache), the first-level cache is provided by Session, the second-level cache is realized by Hibernate redis, user department data in the system can be cached, other business data which are changed less and frequently used can be stored in the cache, database pressure is greatly reduced, and system performance is improved.
The secret data is encrypted through an RSA algorithm before being stored in the database, so that the data stored in the database is in an unreadable mode, and is decrypted through a related algorithm when in use, and therefore the secret of the system is prevented from being leaked due to hacking of the database.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and therefore, the scope of the present invention should be determined by the scope of the claims.
Claims (8)
1. An intelligent auxiliary optimization method for a production plan is characterized by comprising the following steps: the method comprises the following steps: the annual plan is an operation and maintenance plan of the next year at the end of each year, and the contents of optimal arrangement of the annual plan comprise manual arrangement, intelligent arrangement auxiliary analysis and arrangement result analysis.
2. The intelligent auxiliary optimization method for the production plan according to claim 1, wherein: the manual layout comprises two modes of traditional form layout and visual layout.
3. The intelligent auxiliary optimization method for the production plan according to claim 2, wherein: the traditional form arrangement is that the production plan is quickly positioned for editing and arranging through comprehensive query and multi-type sequencing, and auxiliary support is provided through grouping setting and statistical analysis.
4. The intelligent auxiliary optimization method for the production plan according to claim 2, wherein: the visual arrangement is based on a visual technology to develop a graphical arrangement tool so as to improve the working efficiency of manual arrangement,
and the visual arrangement realizes the adjustment of the time range and the planning time of the equipment, dynamically calculates and clearly displays various concerned statistical indexes, dynamically verifies rules of the planning adjustment, gives an alarm when the rules are violated, and verifies the planning arrangement including the verification of power grid safety rules, the verification of equipment safety rules and the verification of team work gauge rules.
5. The intelligent auxiliary optimization method for the production plan according to claim 1, wherein: the intelligent arrangement auxiliary analysis firstly needs to automatically and comprehensively group maintenance work tasks associated with the same power failure equipment according to the topological connection relation of the power grid equipment, so that power failure is arranged overall, and repeated shutdown is reduced; secondly, automatic calculation of various index data influencing the optimization target needs to be realized; on the basis of realizing automatic calculation of various index data, the composite optimization of the maintenance plan is finally realized through a plan optimization arrangement algorithm, and the analysis and selection of a plan optimization scheme are assisted and supported through the calculation of evaluation indexes.
6. The intelligent auxiliary optimization method for the production plan according to claim 5, wherein: the automatic calculation of various index data comprises the steps of calculating equipment health indexes, failure rates and reliability by configuring aging coefficients and monitoring repair factors; calculating the self loss risk, the load loss amount, the power failure time and the load loss risk of the equipment through the configuration of the maintenance time and the maintenance cost, and further calculating the fault risk of the power grid; by configuring maintenance time, maintenance cost, planned power failure time and the like, equipment maintenance cost, planned load loss and random load loss are calculated, and further power grid maintenance risk is calculated; and calculating the overhaul income of the equipment by calculating the fault probability before overhaul, the fault probability after overhaul and the risk difference before and after overhaul.
7. The intelligent auxiliary optimization method for the production plan according to claim 1, wherein: and after the annual plan is scheduled, the scheduling result is comprehensively analyzed, including calculation of various statistical indexes, reminding of special plans needing attention and warning reminding of plans violating scheduling rules.
8. The intelligent auxiliary optimization method for the production plan according to claim 1, wherein: the method also comprises a dynamic planning optimization method: and performing temporary operation and maintenance planning after the equipment has faults or defects and the like, and performing optimization on the dynamic plan by combining with the planned annual plan.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110633839A (en) * | 2019-08-06 | 2019-12-31 | 广州供电局有限公司 | Kneading algorithm-based power failure maintenance plan analysis and optimization system |
| CN111950769A (en) * | 2020-07-16 | 2020-11-17 | 广东电网有限责任公司 | Intelligent maintenance plan arranging system |
| CN111967658A (en) * | 2020-07-31 | 2020-11-20 | 广东卓维网络有限公司 | Comprehensive power failure analysis method based on marketing and distribution information integration platform |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110633839A (en) * | 2019-08-06 | 2019-12-31 | 广州供电局有限公司 | Kneading algorithm-based power failure maintenance plan analysis and optimization system |
| CN111950769A (en) * | 2020-07-16 | 2020-11-17 | 广东电网有限责任公司 | Intelligent maintenance plan arranging system |
| CN111967658A (en) * | 2020-07-31 | 2020-11-20 | 广东卓维网络有限公司 | Comprehensive power failure analysis method based on marketing and distribution information integration platform |
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