CN110443498A - Emulation training wisdom evaluation system based on adaptive learning - Google Patents
Emulation training wisdom evaluation system based on adaptive learning Download PDFInfo
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- CN110443498A CN110443498A CN201910718689.4A CN201910718689A CN110443498A CN 110443498 A CN110443498 A CN 110443498A CN 201910718689 A CN201910718689 A CN 201910718689A CN 110443498 A CN110443498 A CN 110443498A
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- 238000011156 evaluation Methods 0.000 title claims abstract description 109
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 34
- 230000013016 learning Effects 0.000 title claims abstract description 33
- 238000012549 training Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 37
- 238000003860 storage Methods 0.000 claims abstract description 8
- 238000005457 optimization Methods 0.000 claims description 12
- 238000007726 management method Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 4
- 238000012913 prioritisation Methods 0.000 claims description 4
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 2
- 230000033228 biological regulation Effects 0.000 description 4
- 230000004069 differentiation Effects 0.000 description 3
- 238000011158 quantitative evaluation Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000012550 audit Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
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Abstract
The emulation training wisdom evaluation system based on adaptive learning that the invention discloses a kind of comprising rule base, rule base management tool, information acquisition module and wisdom evaluation module；Information acquisition module acquires operation of power networks and student's operating process information；Wisdom evaluation module includes storage unit, evaluation of programme unit, adaptive learning unit and expert opinion unit；Storage unit carries out analysis using information of the rule base to acquisition and analysis result is transmitted to evaluation of programme unit；Evaluation of programme unit carries out first evaluation to student's operating process, if ideal, then export evaluation result, otherwise adaptive learning is carried out to evaluation of programme, student's Operations Analyst result, expert opinion unit using adaptive learning unit, optimize and improve evaluation of programme, successive ignition evaluation is carried out to student's operating process, and obtains final appraisal results.The present invention improves the efficiency and fairness of training evaluation, enhances training matter effect.
Description
Technical field
It is especially a kind of imitative based on adaptive learning the present invention relates to fields such as simulation training system, adaptive learnings
True training wisdom evaluation system.
Background technique
With the construction and development of China's smart grid, significant change is all had occurred in the physical aspect and operation characteristic of power grid
To change, power grid electrical links at different levels are even closer, interact more obvious, and power balance switchs to whole machine balancing by in-situ balancing,
Power grid characteristic turns to aggregated model by region mode, and the globality of operation of power networks further enhances, and stabilization of power grids characteristic is more multiple
It is miscellaneous.Meanwhile the ability of bulk power grid is controlled to regulation operations staff and the ability proposition optimized the configuration of resources on a large scale higher is wanted
It asks, the training and evaluation system to regulation operations staff need more perfect.
However, the regulation Training Simulation System built at present lacks emulation practical operation automatic Evaluation function, cannot achieve pair
Student emulates the wisdom evaluation of operation training, cannot achieve the evaluation for carrying out objective quantization to student, cannot achieve and open student
Targetedly differentiation training is opened up, cannot achieve the initiative and aspiration to knowledge of excitation student, and cannot achieve evaluation of programme
It adaptively merges and perfect.
Summary of the invention
A kind of emulation training intelligence based on adaptive learning is provided it is an object of the invention to solve above-mentioned technical problem
Intelligent evaluation system, can be realized to student carry out intelligent evaluation, quantitative evaluation, differentiation training, from master drive study,
And evaluation of programme it is adaptive upgrading and it is perfect.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme:
A kind of emulation training wisdom evaluation system based on adaptive learning, including rule base, rule base management tool, letter
Cease acquisition module and wisdom evaluation module；
The information acquisition module is used for operation of power networks information collection and student's operating process information collection；
The wisdom evaluation module includes storage unit, evaluation of programme unit, adaptive learning unit and expert's meaning
See unit；
Storage unit utilizes rule base, carries out the period to operation of power networks status information and student's operating process information
Property, comprehensive analysis, and by analysis result be transferred to evaluation of programme unit；
Evaluation of programme unit binding analysis result and teacher's Key for Reference complete the first evaluation to student's operating process, if
First evaluation is ideal, then exports evaluation result, and as final appraisal results, if first evaluation is undesirable, adaptive learning
Unit is studied and judged the expert that student's operating process, teacher's Key for Reference and expert opinion unit provide and is adaptively learned
It practises, optimize and improve evaluation of programme unit and forms an optimizing evaluation scheme unit and suboptimization teacher's Key for Reference；
Optimizing evaluation scheme unit binding analysis result and suboptimization teacher's Key for Reference are completed to operate student
The second evaluation of process exports evaluation result, and as final appraisal results, if second evaluation is not if second evaluation is ideal
Ideal, then adaptive learning unit provides student's operating process, a suboptimization teacher Key for Reference and expert opinion unit
Secondary expert study and judge carry out adaptive learning, optimize and improve an optimizing evaluation scheme unit and formed double optimization evaluation
Scheme unit and double optimization teacher's Key for Reference；
Double optimization evaluation of programme unit binding analysis result and double optimization teacher's Key for Reference are completed to operate student
The evaluation three times of process exports evaluation result and as final appraisal results.
Further, the rule base includes mandatory rule, arbitrariness rule and refers to score value；Mandatory rule refers to
The rule having to comply in member's operating process, deducts corresponding scores according to reference score value if violating the rule；Arbitrariness rule
Then refer under the premise of not violating mandatory rule, the operation rules that can be voluntarily selected according to personal habits；With reference to score value refer to for
According to operation of power networks index of correlation, to the reference score value of each single item rule settings, to carry out quantitatively evaluating to student's operating process.
Further, the rule base management tool is the man-machine friendly interactive interface for being supplied to teacher and using, including rule
Then library locking, rule base unlock, rule editing, regular increase, redundant rule elimination, regular top set and rule prioritization change function.
Further, operation of power networks information collection includes grid operation mode information, equipment running status information and power grid
Power Flow Information acquisition；Student's operating process information collection is the operating process information collection of each step of student.
The beneficial effects of the present invention are: the present invention designs the emulation training wisdom evaluation system based on adaptive learning, energy
Enough realize carries out intelligent evaluation to student, quantitative evaluation, differentiation training, learns from master drive and evaluation of programme
Adaptively upgrade and perfect.Meanwhile the efficiency and fairness of training evaluation are largely improved, enhance training matter
Effect.
Detailed description of the invention
Fig. 1 is that the present invention is based on the structural block diagrams of the emulation training wisdom evaluation system of adaptive learning；
Fig. 2 is wisdom evaluation module flow chart in the present invention.
Specific embodiment
The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:
Referring to Fig. 1 and Fig. 2, the emulation training wisdom evaluation system of the invention based on adaptive learning is mainly by rule
Library, rule base management tool, information acquisition module, wisdom evaluation module etc. are constituted.
Rule base is formed by mandatory rule, arbitrariness rule and with reference to score value.Mandatory rule refers to student's operating process
In the rule that has to comply with once violating the rule corresponding scores are then deducted according to reference score value, even " a wrong zero "；Appoint
Meaning property rule refer under the premise of not violating mandatory rule, the operation rules that can be voluntarily selected according to personal habits；With reference to point
Value refers to as according to operation of power networks index of correlation, to the reference score value of each single item rule settings, to student's operating process amount of progress
Change evaluation.
Rule base management tool is the man-machine friendly interactive interface for being supplied to teacher and using, including rule base locking, rule
Library unlock, rule editing, regular increase, redundant rule elimination, regular top set and rule prioritization change function.
Information acquisition module is used for operation of power networks information collection and student's operating process information collection.Operation of power networks information is adopted
Collection mainly includes grid operation mode information, equipment running status information and power grid trend information acquisition；Student's operating process letter
Breath acquisition is the operating process information collection of each step of student.
Wisdom evaluation module is the key modules of the system, by storage unit, evaluation of programme unit, adaptive learning
Unit and expert opinion unit composition.
Storage unit utilizes rule base, carries out the period to operation of power networks status information and student's operating process information
Property, comprehensive analysis, and by analysis result be transferred to evaluation of programme unit；
Evaluation of programme unit binding analysis result and teacher's Key for Reference complete the first evaluation (tool to student's operating process
Body, analysis result and teacher's Key for Reference are matched, they are that evaluation is ideal if matching degree height, if it is to comment that matching degree is low
Valence is undesirable), if first evaluation is ideal, evaluation result is exported, and as final appraisal results, if first evaluation is undesirable,
Then adaptive learning unit studies and judges the expert that student's operating process, teacher's Key for Reference and expert opinion unit provide
(expert studies and judges the suggestion for operation provided for the artificial subjectivity of expert) carries out adaptive learning, optimizes and improves evaluation of programme unit simultaneously
Form an optimizing evaluation scheme unit and suboptimization teacher's Key for Reference；
Optimizing evaluation scheme unit binding analysis result and suboptimization teacher's Key for Reference are completed to operate student
The second evaluation of process exports evaluation result, and as final appraisal results, if second evaluation is not if second evaluation is ideal
Ideal, then adaptive learning unit provides student's operating process, a suboptimization teacher Key for Reference and expert opinion unit
Secondary expert study and judge carry out adaptive learning, optimize and improve an optimizing evaluation scheme unit and formed double optimization evaluation
Scheme unit and double optimization teacher's Key for Reference；
Double optimization evaluation of programme unit binding analysis result and double optimization teacher's Key for Reference are completed to operate student
The evaluation three times of process exports evaluation result and as final appraisal results.
The characteristics of wisdom evaluation module, is: if first evaluation result is undesirable, using adaptive learning unit to evaluation
Scheme, student's Operations Analyst result, expert opinion unit carry out adaptive learning, optimize and improve evaluation of programme unit, to
Member's operating process carries out second evaluation (can successive ignition evaluation), repeatedly obtains final appraisal results after evaluation.It is operated in student
During evaluation, teacher can audit and modify to Key for Reference, prioritization scheme, but cannot grasp to evaluation result
Make, ensure that the fairness of the teaching of regulation Simulated training, examination.
In conclusion the contents of the present invention are not limited in the above embodiments, those skilled in the art can be
It is proposed other embodiments within technological guidance's thought of the invention, but these embodiments be included in the scope of the present invention it
It is interior.
Claims (4)
1. a kind of emulation training wisdom evaluation system based on adaptive learning, it is characterised in that: including rule base, regular depositary management
Science and engineering tool, information acquisition module and wisdom evaluation module；
The information acquisition module is used for operation of power networks information collection and student's operating process information collection；
The wisdom evaluation module includes storage unit, evaluation of programme unit, adaptive learning unit and expert opinion list
Member；
Storage unit utilizes rule base, carries out to operation of power networks status information and student's operating process information periodical, comprehensive
The analysis of conjunction property, and analysis result is transferred to evaluation of programme unit；
Evaluation of programme unit binding analysis result and teacher's Key for Reference complete the first evaluation to student's operating process, if for the first time
Evaluation is ideal, then exports evaluation result, and as final appraisal results, if first evaluation is undesirable, adaptive learning unit
Carry out adaptive learning is studied and judged to the expert that student's operating process, teacher's Key for Reference and expert opinion unit provide,
Optimize and improve evaluation of programme unit and forms an optimizing evaluation scheme unit and suboptimization teacher's Key for Reference；
Optimizing evaluation scheme unit binding analysis result and suboptimization teacher's Key for Reference are completed to student's operating process
Second evaluation export evaluation result, and as final appraisal results if second evaluation is ideal, if second evaluation is undesirable,
Then adaptive learning unit provides student's operating process, a suboptimization teacher Key for Reference and expert opinion unit secondary
Expert studies and judges carry out adaptive learning, optimizes and improves an optimizing evaluation scheme unit and form double optimization evaluation of programme list
Member and double optimization teacher Key for Reference；
Double optimization evaluation of programme unit binding analysis result and double optimization teacher's Key for Reference are completed to student's operating process
Evaluation three times, export evaluation result and as final appraisal results.
2. the emulation training wisdom evaluation system described in accordance with the claim 1 based on adaptive learning, it is characterised in that: described
Rule base includes mandatory rule, arbitrariness rule and refers to score value；Mandatory rule refers to be had to comply in student's operating process
Rule, if violating the rule according to reference score value deduct corresponding scores；Arbitrariness rule, which refers to, is not violating mandatory rule
Under the premise of then, the operation rules that can voluntarily be selected according to personal habits；Refer to reference to score value as according to operation of power networks index of correlation,
To the reference score value of each single item rule settings, to carry out quantitatively evaluating to student's operating process.
3. the emulation training wisdom evaluation system described in accordance with the claim 1 based on adaptive learning, it is characterised in that: described
Rule base management tool is the man-machine friendly interactive interface for being supplied to teacher and using, including rule base locking, rule base unlock, rule
It then edits, regular increases, redundant rule elimination, rule top set and rule prioritization change function.
4. the emulation training wisdom evaluation system described in accordance with the claim 1 based on adaptive learning, it is characterised in that: power grid
Operation information acquisition includes grid operation mode information, equipment running status information and power grid trend information acquisition；Student's operation
Procedural information acquisition is the operating process information collection of each step of student.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110689287A (en) * | 2019-11-18 | 2020-01-14 | 国网甘肃省电力公司 | Simulation training evaluation method and system based on power dispatching rule knowledge base |
| CN113963578A (en) * | 2021-10-27 | 2022-01-21 | 北京科东电力控制系统有限责任公司 | Self-adaptive training system and training method for knowledge service and skill drilling |
| CN114141083A (en) * | 2021-11-29 | 2022-03-04 | 国网安徽省电力有限公司培训中心 | Transformer substation simulation dynamic learning method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102024091A (en) * | 2009-09-17 | 2011-04-20 | 上海市电力公司超高压输变电公司 | Intelligent evaluation system for simulation training in substation based on terminal logics |
| CN103617760A (en) * | 2013-09-29 | 2014-03-05 | 江苏省电力公司 | Power distribution network DTS (Dispatcher Training Simulation) simulation system and simulation method thereof |
| CN104064065A (en) * | 2014-06-23 | 2014-09-24 | 国家电网公司 | Distribution network fault simulation analysis training system implementation method |
| CN105513449A (en) * | 2015-12-22 | 2016-04-20 | 国家电网公司 | Comprehensive evaluation method for power grid regulating and controlling integral simulating training system |
| CN108172082A (en) * | 2017-11-23 | 2018-06-15 | 广州供电局有限公司 | A kind of automatic evaluation method for power transformation operation Simulated training |
| CN109754663A (en) * | 2017-11-02 | 2019-05-14 | 贵州电网有限责任公司培训与评价中心 | Implementation method and device are evaluated in power transformation O&M operation Whole Process Simulation training |
-
2019
- 2019-08-05 CN CN201910718689.4A patent/CN110443498A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102024091A (en) * | 2009-09-17 | 2011-04-20 | 上海市电力公司超高压输变电公司 | Intelligent evaluation system for simulation training in substation based on terminal logics |
| CN103617760A (en) * | 2013-09-29 | 2014-03-05 | 江苏省电力公司 | Power distribution network DTS (Dispatcher Training Simulation) simulation system and simulation method thereof |
| CN104064065A (en) * | 2014-06-23 | 2014-09-24 | 国家电网公司 | Distribution network fault simulation analysis training system implementation method |
| CN105513449A (en) * | 2015-12-22 | 2016-04-20 | 国家电网公司 | Comprehensive evaluation method for power grid regulating and controlling integral simulating training system |
| CN109754663A (en) * | 2017-11-02 | 2019-05-14 | 贵州电网有限责任公司培训与评价中心 | Implementation method and device are evaluated in power transformation O&M operation Whole Process Simulation training |
| CN108172082A (en) * | 2017-11-23 | 2018-06-15 | 广州供电局有限公司 | A kind of automatic evaluation method for power transformation operation Simulated training |
Non-Patent Citations (1)
| Title |
|---|
| 李登凤: ""一种新型的电力仿真培训智能评价指导系统"", 《电网技术》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110689287A (en) * | 2019-11-18 | 2020-01-14 | 国网甘肃省电力公司 | Simulation training evaluation method and system based on power dispatching rule knowledge base |
| CN113963578A (en) * | 2021-10-27 | 2022-01-21 | 北京科东电力控制系统有限责任公司 | Self-adaptive training system and training method for knowledge service and skill drilling |
| CN114141083A (en) * | 2021-11-29 | 2022-03-04 | 国网安徽省电力有限公司培训中心 | Transformer substation simulation dynamic learning method and system |
| CN114141083B (en) * | 2021-11-29 | 2024-04-19 | 国网安徽省电力有限公司培训中心 | Simulation dynamic learning method and system for transformer substation |
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