CN101916328A - Virtual electric power operation evaluating and analyzing method based on knowledge synergism - Google Patents
Virtual electric power operation evaluating and analyzing method based on knowledge synergism Download PDFInfo
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- CN101916328A CN101916328A CN2010102390831A CN201010239083A CN101916328A CN 101916328 A CN101916328 A CN 101916328A CN 2010102390831 A CN2010102390831 A CN 2010102390831A CN 201010239083 A CN201010239083 A CN 201010239083A CN 101916328 A CN101916328 A CN 101916328A
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Abstract
The invention provides an evaluating and analyzing method based on knowledge synergism, which is applied to the evaluation and the guidance of virtual electric power operation. The evaluating and analyzing method comprises the steps of: firstly, conveying a series of operation sequences to a sequence comparer, calling an operation rule base, comparing the difference of the operation sequences and the operation rule base to obtain comparison results; secondly, respectively conveying the obtained comparison results to a correction and error cooperative comparer according to the correction and the error; conveying the obtained mineable sequences to a cooperative inference engine by the correction and error cooperative comparer by calling a knowledge base; and finally, conveying the knowledge inferred by the cooperative inference engine to an evaluating guider for guiding and evaluating, and writing an evaluating result into the knowledge base. In an evaluating and analyzing system, the rule base and the knowledge base are cooperatively called, and the credibility of training effect of the virtual electric power operation is greatly improved, therefore, the direct and accurate quantitative evaluation can become possible.
Description
Technical field
The present invention relates to the evaluation analysis technology in the electric system, it is applied to have the training artificial intelligence evaluation guidance system that real-time intelligent is estimated guiding function, for the electric system staff provides the simulation operations operation Training Environment of intelligence, has the important engineering practice significance.
Background technology
Along with the fast development of China's power industry, operation power personnel's post operation technical ability is one of key factor that influences the power system security reliability service, and is more and more higher to the requirement of operation power personnel's operative skill.But the operation to electric system does not allow arbitrarily to carry out, and the accident of electric system is generally rare, and these objective restrictions make the operations staff be difficult to be trained fully under the normal operation conditions of electric system He in the accident treatment.In case run into operation or burst accident,, thereby cause maloperation to make accident expansion usually because of dealing with improperly.At present traditional training pattern (mathematical statistics method, expert assessment method, Field Using Fuzzy Comprehensive Assessment, neural network method, interval analysis method etc.) lacks the sense of reality, subjective, just from qualitative angle evaluation, be difficult to the deduction that from complicated, uncertain data input, obtains determining, and estimate comprehensive inadequately.In a lot of Training Simulation System, do not have real-time guiding function, finish by artificial guidance of teacher to a great extent.In addition, some evaluation systems are only at certain training on electric power analogue system, the capable certain limitation of tool.It is as an important component part of training electrical network knowledge, to the safe and stable operation of electrical network, fix a breakdown and emulation plays important effect.
Summary of the invention
Based on above-mentioned analysis, the present invention one cover novel electric power training intelligence evaluation analysis system.By reaffirming the working specification of Operation of Electric Systems, task operating is formed the various sequence of operation neatly, form the working rule storehouse of constantly expanding; When system moves, choose the different sequence of operation of suitable knowledge composition respectively according to different requirements and compare, and then realize the function of sequence alignment device according to the size of comparison rate; Choose the suitable data mining algorithm, the knowledge number pick of positive and negative collaborative comparative device is excavated, store the special knowledge of this evaluation guidance system, but comprise fact line operate and rule etc.; Cooperative inference engine is not only to search for simply, and can carry out depth reasoning and derive conclusion according to knowledge.
The objective of the invention is to solve the problem that prior art exists, a kind of method and system based on the collaborative virtual electric power operation evaluation analysis of knowledge are provided.
Technical scheme of the present invention is: a kind of method based on the collaborative virtual electric power operation evaluation analysis of knowledge, at least and for example descend process and step to form:
A kind of evaluation analysis method based on the collaborative virtual electric power operation of knowledge is characterized in that being made up of following process and step at least:
(1) serial sequence of operation information is sent in the sequence alignment device, call operation rule base and front and back sequence alignment method are analysed and compared to closing key sequence, and whether draw the sequence of operation correct;
(2) correct sequence of operation information is sent in the positive coorperativity comparative device, the sequence alignment method determines whether to be then to be sent to cooperative inference engine, otherwise directly to reach evaluation guidance device into excavating sequence before and after the positive coorperativity comparative device call operation rule base;
(3) sequence of operation information of mistake then is sent in the anti-collaborative comparative device, call operation rule base and front and back sequence alignment method to its analyse and compare handle after, send it to cooperative inference engine;
(4) the excavation sequence that transmits of the positive and negative collaborative comparative device that receives of cooperative inference engine after the knowledge that the reasoning sequence of operation is contained, is sent to evaluation guidance device;
(5) evaluation guidance device is estimated the The reasoning results after integrating and is instructed, and gives knowledge base with the knowledge feedback that obtains, and then adjusts knowledge base;
The sequence alignment device, the sequence alignment method is sent to positive and negative collaborative comparative device with judged result before and after adopting; Positive and negative collaborative comparative device, sequence alignment algorithm before and after adopting needs immediately the result to be sent in the cooperative inference engine after its operation is finished; Cooperative inference engine adopts relevant data reasoning algorithm, the result can be sent in the evaluation guidance device after all operation is finished at it, and collaborative call operation rule base, knowledge base, rewrite knowledge base at last.
The present invention is based on the collaborative virtual electric power operation evaluation analysis method and system of knowledge, utilize rational knowledge representation mode to describe logical relation between the working rule, alignment algorithm is compared to the sequence of operation before and after taking, and can excavate sequence and analyze according to the size of comparison rate and judge.To working rule storehouse and collaborative the calling of knowledge base, rewrite knowledge base, can be significantly improved to the confidence level of operating operating staff training's effect.
Description of drawings
Fig. 1 is a system of the present invention pie graph;
Fig. 2 is the system flowchart among the present invention.
Embodiment
Now the present invention is further described as follows by accompanying drawing and in conjunction with embodiment.
Embodiment 1:
From Fig. 1 as seen, a kind of based on the collaborative virtual electric power operation evaluation analysis system of knowledge, form by sequence alignment device, positive coorperativity comparative device, anti-collaborative comparative device, cooperative inference engine, evaluation guidance device, working rule storehouse and knowledge base; The sequence of operation links to each other with the sequence alignment device; The working rule storehouse links to each other with the sequence alignment device; The sequence alignment device links to each other with anti-collaborative comparative device with the positive coorperativity comparative device respectively; Positive and negative collaborative comparative device all links to each other with cooperative inference engine; Cooperative inference engine links to each other with evaluation guidance device; Evaluation guidance device links to each other with knowledge base; Knowledge base links to each other with positive and negative collaborative comparative device, cooperative inference engine respectively.
Embodiment 2:
See Fig. 2, a kind of method based on the collaborative virtual electric power operation evaluation analysis of knowledge, form by the sharp step of following process at least:
(1) serial sequence of operation information is sent in the sequence alignment device, call operation rule base and front and back sequence alignment method are analysed and compared to closing key sequence, and whether draw the sequence of operation correct;
(2) correct sequence of operation information is sent in the positive coorperativity comparative device, the sequence alignment method determines whether to be then to be sent to cooperative inference engine, otherwise directly to reach evaluation guidance device into excavating sequence before and after the positive coorperativity comparative device call operation rule base;
(3) sequence of operation information of mistake then is sent in the anti-collaborative comparative device, call operation rule base and front and back sequence alignment method to its analyse and compare handle after, send it to cooperative inference engine;
(4) the excavation sequence that transmits of the positive and negative collaborative comparative device that receives of cooperative inference engine after the knowledge that the reasoning sequence of operation is contained, is sent to evaluation guidance device;
(5) evaluation guidance device is estimated the The reasoning results after integrating and is instructed, and gives knowledge base with the knowledge feedback that obtains, and then adjusts knowledge base;
The sequence alignment device, the sequence alignment method is sent to positive and negative collaborative comparative device with judged result before and after adopting; Positive and negative collaborative comparative device, sequence alignment algorithm before and after adopting needs immediately the result to be sent in the cooperative inference engine after its operation is finished; Cooperative inference engine adopts relevant data reasoning algorithm, the result can be sent in the evaluation guidance device after all operation is finished at it, and collaborative call operation rule base, knowledge base, rewrite knowledge base at last.
Wherein embodiment is as follows:
1) sequence of operation is delivered in the sequence alignment device, and a vernier is set, and each the bar sequence of operation in the vernier taking-up sequence of operation is progressively established an identifier flag=0;
2) vernier compares the sequence of operation of taking out and the key operation sequence in the rule base, if fit like a glove then flag adds 1, suppose that the key operation sequence has n operation, and comparison back flag=N, the comparison rate of this moment is L=N/n*100%, adopted front and back sequence alignment method to closing when key sequence is compared, the flow process of the method is:
1. suppose that a sequence of operation is: a1, a2 ..., ai-1, ai, ai+1 ..., an,
Its key operation sequence is: b1, and b2 ..., bj-1, bj, bj+1 ..., bm, wherein m＜=n (m≤n)
2. for bj, j-1 operation arranged before it, and with the comparing of standard knowledge storehouse after, what fit like a glove has tj operation, then comparison rate Lj=tj/j-1* * 100%;
3. for bj, m-j+1 operation arranged thereafter, and with the comparing of standard knowledge storehouse after, what fit like a glove has pj operation, then comparison rate Lm-j+1=pj/m-j+1* * 100%;
4. by 2) and 3) draw a valuation point (Lj, Lm-j+1), j=1 wherein, 2 ..., m;
5. the pass key sequence for this group sequence of operation finally is converted into the valuation sequence, promptly
[(L0，L?m)，(L1，L?m-1)，...，(Lj-1，Lm-j+1)，...，(Lm-1，L1)]
3) if the valuation point of the valuation sequence that the pass key sequence obtains is (1,1), then this sequence of operation is delivered in the positive coorperativity comparative device and handled, this sequence of operation is carried out the complete sequence comparison, sequence alignment method before and after also having adopted simultaneously, the flow process of the method is:
1. suppose that a sequence of operation is: a1, a2 ..., ai-1, ai, ai+1 ..., an,
2. for ai, i-1 operation arranged before it, and with the comparing of standard knowledge storehouse after, what fit like a glove has ti operation, then comparison rate Li=ti/i-1* * 100%;
3. for ai, n-i+1 operation arranged thereafter, and with the comparing of standard knowledge storehouse after, what fit like a glove has pi operation, then comparison rate Ln-i+1=pi/n-i+1* * 100%;
4. by 2) and 3) draw a valuation point (Li, Ln-i+1), i=1 wherein, 2 ..., n;
5. the pass key sequence for this group sequence of operation finally is converted into the valuation sequence, promptly
[(L0，L?n)，(L1，Ln-1)，...，(Li-1，Ln-i+1)，...，(Ln-1，L1)]
In the positive coorperativity comparative device, except that the key operation sequence correctly, other operations are also entirely true, this sequence of operation can not be excavated sequence exactly, directly is sent in the evaluation guidance device; And except that the key operation sequence correctly, other operations are vicious, this sequence of operation can be excavated sequence exactly, it is sent to carries out reasoning in the cooperative inference engine;
4) otherwise, then deliver to adopt in the anti-collaborative comparative device before and after the sequence alignment method handle;
In anti-collaborative comparative device,,, it is sent to carries out reasoning in the cooperative inference engine equally so this sequence must be to excavate sequence because the key operation sequence is incorrect;
5) in evaluation guidance device, estimate at last, so knowledge feedback in knowledge base.
Claims (2)
1. evaluation analysis method based on the collaborative virtual electric power operation of knowledge is characterized in that being made up of following process and step at least:
(1) serial sequence of operation information is sent in the sequence alignment device, call operation rule base and front and back sequence alignment method are analysed and compared to closing key sequence, and whether draw the sequence of operation correct;
(2) correct sequence of operation information is sent in the positive coorperativity comparative device, the sequence alignment method determines whether to be then to be sent to cooperative inference engine, otherwise directly to reach evaluation guidance device into excavating sequence before and after the positive coorperativity comparative device call operation rule base;
(3) sequence of operation information of mistake then is sent in the anti-collaborative comparative device, call operation rule base and front and back sequence alignment method to its analyse and compare handle after, send it to cooperative inference engine;
(4) the excavation sequence that transmits of the positive and negative collaborative comparative device that receives of cooperative inference engine after the knowledge that the reasoning sequence of operation is contained, is sent to evaluation guidance device;
(5) evaluation guidance device is estimated the The reasoning results after integrating and is instructed, and gives knowledge base with the knowledge feedback that obtains, and then adjusts knowledge base;
The sequence alignment device, the sequence alignment method is sent to positive and negative collaborative comparative device with judged result before and after adopting; Positive and negative collaborative comparative device, sequence alignment algorithm before and after adopting needs immediately the result to be sent in the cooperative inference engine after its operation is finished; Cooperative inference engine adopts relevant data reasoning algorithm, the result can be sent in the evaluation guidance device after all operation is finished at it, and collaborative call operation rule base, knowledge base, rewrite knowledge base at last.
2. the front and back sequence alignment method of sequence alignment device according to claim 1 to use is characterized in that being made up of following process and step at least:
(1) vernier is set, each the bar sequence of operation in the vernier taking-up sequence of operation is progressively established an identifier flag=0; Vernier compares the sequence of operation of taking out and the sequence of operation in the rule base, if fit like a glove then flag adds 1, suppose that the sequence of operation has n operation, and flag=N after comparing, comparison rate at this moment is L=N/n * 100%; Suppose that the sequence of operation that vernier is read is: a1, a2 ..., ai-1, ai, ai+1 ..., an,
(2) for ai, i-1 operation arranged before it, and with the comparing of standard knowledge storehouse after, fully
That coincide has ti operation, then comparison rate Li=ti/i-1 * 100%;
(3) for ai, n-i+1 operation arranged thereafter, and with the comparing of standard knowledge storehouse after, intact
Complete coincide pi operation, then comparison rate Ln-i+1=pi/n-i+1 * 100% arranged;
(4) by (2) and (3) draw a valuation point (Li, Ln-i+1), i=1 wherein, 2 ..., n;
(5) the pass key sequence for this group sequence of operation finally is converted into the valuation sequence, promptly
[(L0，Ln)，(L1，L?n-1)，...，(Li-1，L?n-i+1)，...，(Ln-1，L1)]
(6) each the valuation point in the valuation sequence is (1,1), then judges this sequence of operation for correct, otherwise is judged as incorrect.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102280049A (en) * | 2011-08-31 | 2011-12-14 | 中国广东核电集团有限公司 | Device and method for training procedure utilization habit of million kilowatt nuclear power plant |
| CN103425776A (en) * | 2013-08-15 | 2013-12-04 | 电子科技大学 | Multi-user repository cooperation method |
| CN106779294A (en) * | 2016-11-21 | 2017-05-31 | 中国商用飞机有限责任公司 | Airplane operation error detection method and system |
-
2010
- 2010-07-23 CN CN2010102390831A patent/CN101916328A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102280049A (en) * | 2011-08-31 | 2011-12-14 | 中国广东核电集团有限公司 | Device and method for training procedure utilization habit of million kilowatt nuclear power plant |
| CN102280049B (en) * | 2011-08-31 | 2014-07-16 | 中国广东核电集团有限公司 | Device and method for training procedure utilization habit of million kilowatt nuclear power plant |
| CN103425776A (en) * | 2013-08-15 | 2013-12-04 | 电子科技大学 | Multi-user repository cooperation method |
| CN106779294A (en) * | 2016-11-21 | 2017-05-31 | 中国商用飞机有限责任公司 | Airplane operation error detection method and system |
| CN106779294B (en) * | 2016-11-21 | 2019-04-23 | 中国商用飞机有限责任公司 | Airplane operation error detection method and system |
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Open date: 20101215 |