CN109242256A - A kind of vacuum pump Intelligent Model Selection method of case-based reasioning - Google Patents
A kind of vacuum pump Intelligent Model Selection method of case-based reasioning Download PDFInfo
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Abstract
The invention belongs to the Automation Design field, in particular to a kind of vacuum pump intelligent selecting type method.A kind of vacuum pump Intelligent Model Selection method of case-based reasioning: (1) type selecting case base module is established；(2) client inputs the demand of four running parameters of vacuum pump by customer demand input module；(3) case similarity matching module is used to receive the input parameter of the customer demand input module, call the type selecting case base module, and according to the received input parameter of institute, matching retrieval is carried out using case of the nearest neighbor method to the type selecting case base module, finally the case by similarity in case base greater than 50% extracts.The present invention ensures that the quality and performance of product in the vacuum pump design phase, and enterprise's preciousness design knowledge is reused, and improves design efficiency, shortens the customer demand response time, to promote enterprise core competence.
Description
Technical field
The invention belongs to the Automation Design field, in particular to a kind of vacuum pump intelligent selecting type method.
Background technique
China's vacuum technique develops rapidly in the latest 20 years, and application field is navigated throughout national economy every profession and trade, such as space flight
Sky, nuclear industry, metallurgy and smelting, automobile industry components vacuum heat treatment, electrician trade, environmental protection industry (epi), food and medicine
Industry etc..
Raising with the continuous fierce and client of market competition to demand response timeliness, vacuum equipped manufacturing enterprise face
Face huge pressure, therefore, promote the performance and quality of vacuum products, shortens the customer demand response time as each related enterprise
The center of gravity of industry development.
Can the superiority and inferiority of product quality make what customer satisfaction was dependent firstly on product to design and develop process, this Process fusion
The core knowledge of enterprise product manufacture and innovation.If in the vacuum equipped type selecting stage, by the previous knowledge reuse of enterprise, quickly
The product for enabling customer satisfaction is designed, can effectively promote enterprise in the competitiveness of Vacuum Field.
Summary of the invention
The present invention provides a kind of vacuum pump Intelligent Model Selection method of case-based reasioning, just realizes in the vacuum pump design phase
Quick response customer demand ensures the purpose of product quality and performance, to promote enterprise core competence.
In order to achieve the above objectives, a kind of the technical solution adopted by the present invention are as follows: vacuum pump Intelligent Selection of case-based reasioning
Type method is equipped with type selecting case base module, customer demand input module, case similarity matching module；
The type selecting case base module includes the existing vacuum pump cases of design set of enterprise, is to carry out similar cases
The container of retrieval；
Each case includes four parameters:
It include vapor, anhydrous steam two 1. the gas that the technical process generates determines the type of selected vacuum pump
Kind gas type；
2. working media determine pump type, including inflammable and explosive, corrosivity, containing dust granules, drying, easily occur chemistry
React five kinds of medium features；
3. the final vacuum reached by pumping container determines the model of selected vacuum pump, including 102-105Pa low vacuum, 10-2-10-1Vacuum, 10 in Pa-5-10-1Pa high vacuum, < 10-5Four sections of Pa ultrahigh vacuum；
4. maximum discharge quantity determines the size of selected vacuum pump in technical process；
The customer demand input module is for obtaining demand of the client to vacuum pump running parameter, including technical process production
Raw gas, working media, by discharge quantity maximum in pumping container final vacuum, technical process, respectively correspond vacuum pump type selecting
Key feature, and parameter value is transmitted to the case similarity matching module；
The case similarity matching module is used to receive the input parameter of the customer demand input module, described in calling
Type selecting case base module, and according to the received input parameter of institute, using nearest neighbor method to the type selecting case base mould
The case of block carries out matching retrieval；
The selection method, comprising the following steps:
(1) establish type selecting case base module: type selecting case base module is made of each old rule, and each case is equal
Including four parameters, be respectively as follows: the parameter of the gas generated in 1. technical process, parameter value attribute is text, unit without；2. work
Make the parameter of medium, parameter value attribute is text, unit without；3. the parameter of the final vacuum reached by pumping container, parameter value
Attribute is numerical value, unit Pa；4. main pump pumping speed corresponds in customer demand input module maximum discharge quantity parameter in technical process,
Parameter value attribute is numerical value, unit m3/s；
If casebook is combined into C={ C in type selecting knowledge base1, C2, C3..., Cn, Ci(1≤i≤n) is the case in set
Example, CiParameter sets are { Ci1, Ci2, Ci3, Ci4}；Ci1The parameter of the gas generated in technical process for i-th of case, Ci2For
The parameter of the working media of i-th of case, Ci3For the parameter for the final vacuum of i-th of case reached by pumping container, Ci4For
The main pump pumping speed of i-th of case corresponds in customer demand input module maximum discharge quantity parameter in technical process；
(2) client inputs the demand of four running parameters of vacuum pump, including technical process by customer demand input module
The gas of generation, working media, by discharge quantity maximum in pumping container final vacuum, technical process, respectively correspond vacuum pump choosing
The key feature of type, customer demand example are expressed as Cj, parameter sets are { Cj1, Cj2, Cj3, Cj4, customer demand input module
By CjIt is transmitted to case similarity matching module；
(3) case similarity matching module is used to receive the input parameter of the customer demand input module, described in calling
Type selecting case base module, and according to the received input parameter of institute, using nearest neighbor method to the type selecting case base mould
The case of block carries out matching retrieval, wherein customer demand example CjRespectively with C in case library1To CnThis n case is matched,
N times comparison is carried out, finally the case by similarity in case base greater than 50% extracts；
Customer demand example CjWith case C in type selecting knowledge baseiSimilarity are as follows:
Wherein, pkIndicate the weight of k-th of parameter, pk∈ [0,1],Sim(Cik, Cjk), k=1 represents technique
The gas parameter that process generates, k=2 represent working media parameter, the final vacuum that k=3 is reached by pumping container, k=4 technique
Maximum discharge quantity in the process.
Preferably, if case CiThe gas parameter value that technical process generates is x1, case CjThe gas ginseng that technical process generates
Numerical value is y1, similarity are as follows:
Preferably, if case CiWorking media parameter value is x2, case CjWorking media parameter value is y2, similarity are as follows:
Preferably, if case CiThe final vacuum reached by pumping container is x3, case CjThe limit reached by pumping container is true
Reciprocal of duty cycle is y3, similarity are as follows:
Sim(Ci3, Cj3)=min (x3,y3)/max(x3,y3) (4)
Wherein, min (x3, y3) expression parameter value x3With y3The middle lesser side of numerical value, max (x3, y3) expression parameter value x3
With y3The middle biggish side of numerical value.
Preferably, if case CiMaximum discharge quantity is x in technical process4, case CjMaximum discharge quantity is in technical process
y4If A is section [2x4, 3x4], B is section [2y4,3y4], similarity are as follows:
Sim(Ci4,Cj4)=L (AIB)/L (AYB) (5)
Wherein, A ∩ B indicates the intersection of section A and B, i.e. section [2x4, 3x4] and section [2y4,3y4] intersection, L (A ∩
B the length of corresponding intersection) is indicated, A ∪ B indicates the union of section A and B, i.e. section [2x4, 3x4] and section [2y4,3y4] and
Collection, L (A ∪ B) indicate the length of corresponding union.
Compared with prior art, the present invention has the following advantages:
1. the present invention is based on the vacuum pump Intelligent Model Selection method of reasoning by cases, including type selecting case base module, client
Demand input module and case similarity matching module.Type selecting case base module includes the existing vacuum pump design case of enterprise
Example set is the container for carrying out Similar case search.Customer demand input module is for obtaining client to vacuum pump running parameter
Demand, the gas generated including technical process, working media are deflated by maximum in pumping container final vacuum, technical process
Amount, respectively corresponds the key feature of vacuum pump type selecting, and parameter value is transmitted to the case similarity matching module.Technique mistake
The gas that journey generates determines the type of selected vacuum pump, includes two kinds of vapor, anhydrous steam gas types.Working media is determined
Surely the type pumped, including inflammable and explosive, corrosivity, containing dust granules, drying, easily occur chemical reaction five kinds of medium features.It states
The final vacuum reached by pumping container determines the model of selected vacuum pump, including low vacuum (102-105Pa), middle vacuum (10-2-10-1Pa), high vacuum (10-5-10-1Pa), ultrahigh vacuum (< 10-5Pa) four sections.Maximum discharge quantity is determined in technical process
The size of fixed selected vacuum pump.
Case similarity matching module is used to receive the input parameter of the customer demand input module, calls the type selecting
Case base module, and according to the received input parameter of institute, using nearest neighbor method to the type selecting case base module
Case carries out matching retrieval.
Nearest neighbor method is used for the imparting of parameter weight, to each parameter setting specific weight values, according to the weighting for comparing degree
Value selects suitable case.The present invention uses type selecting case library, helps the relevant expertise of enterprise integration vacuum design, makes expert
Experience is shared and is inherited.
2. the present invention utilize Case-based reasoning method, improve Selection and Design efficiency, quick response customer demand, not
It is disconnected to improve case library, so that enterprise is kept core competitiveness.
3. the present invention carries out similarity calculation using nearest neighbor method, the science that case reuses has been ensured.
Detailed description of the invention
Fig. 1 is the overall structure block diagram of the vacuum pump intelligent selecting type the present invention is based on reasoning by cases；
Fig. 2 is the structural block diagram of type selecting case base module of the present invention.
Specific embodiment
The present invention is further illustrated with reference to the accompanying drawings and examples.
Such as Fig. 1, the intelligent selecting type overall structure block diagram of one embodiment of the invention is shown, one kind is pushed away based on case
The vacuum pump intelligent selecting type of reason, including type selecting case base module, customer demand input module and case similarity
With module.
Such as Fig. 2, type selecting case base structural block diagram of the present invention is shown.
Specifically, the customer demand input module receives demand of the client to vacuum pump running parameter, including technique mistake
Gas that journey generates, working media, the final vacuum reached by pumping container, four parameters of maximum discharge quantity in technical process,
And these parameters are input to the case similarity matching module.
Specifically, gas and working media that the technical process generates determine the type of selected vacuum pump, by parameter value
It is unified for text attribute, unit is without the final vacuum reached by pumping container determines the model of selected vacuum pump, by parameter
Value is unified for numerical attribute, unit Pa, and maximum discharge quantity determines the size of selected vacuum pump in the technical process, by parameter
Value is unified for number attribute, unit m3/s。
Specifically, the type selecting case base module is made of each old rule, each case includes four parameters, name
The parameter of the gas referred to as generated in technical process, parameter value attribute are text, unit without, the parameter of entitled working media,
Parameter value attribute is text, and unit is without the parameter of the entitled final vacuum reached by pumping container, parameter value attribute is number
Value, unit Pa, main pump pumping speed correspond in customer demand input module maximum discharge quantity parameter, parameter value attribute in technical process
For numerical value, unit m3/s。
Specifically, the case similarity matching module is used to receive the input parameter of the customer demand input module,
According to the received input parameter of institute, similarity is calculated using nearest neighbor method using algorithm and calls the type selecting case base mould
Block carries out matching retrieval, and the higher case of similarity is extracted from type selecting knowledge base, case1: the case of extraction meets client
Demand exports example solution；Case2: the case of extraction is unsatisfactory for customer demand, artificial correction case, final output example solution, and
Revised case is imported in the type selecting case base, the type selecting case base is made to carry out self-teaching.
Embodiment 1
Using the vacuum pump Intelligent Model Selection method of case-based reasioning realize the present embodiment selecting type scheme design, comprising with
Lower step:
Step 1: in demand of the existing customer that the input of customer demand input module obtains to vacuum pump running parameter, including
Gas that technical process generates, working media, the final vacuum reached by pumping container, maximum discharge quantity in technical process.
In the present embodiment, demand of the existing customer of acquisition to vacuum pump running parameter is as shown in table 1:
1 existing customer demand instance parameter of table
Wherein, it 1. indicates the gas parameter that technical process generates, 2. indicates working media parameter, 3. indicate that being taken out container reaches
4. the final vacuum arrived indicates maximum discharge quantity in technical process.
Step 2: calling the case in case base using nearest neighbor method and current visitor in case similarity mode module
Family example is compared one by one.
If case set C={ C in type selecting knowledge base1, C2, C3..., CnIn have a case Ci, parameter sets are { Ci1,
Ci2, Ci3, Ci4, customer demand example is expressed as Cj, parameter sets are { Cj1, Cj2, Cj3, Cj4, two case similarities are as follows:
Wherein, pkIndicate the weight of k-th of parameter, pk∈ [0,1],Sim(Cik, Cjk) indicate case CiWith Cj
The similarity of k-th of parameter value, k=1 represent the gas parameter of technical process generation, and k=2 represents working media parameter, k=3
The final vacuum reached by pumping container, maximum discharge quantity in k=4 technical process.
In the present embodiment, Cj1Indicate the gas parameter that technical process generates, Cj2Indicate working media parameter, Cj3Indicate quilt
Take out the final vacuum that container reaches, Cj4Indicate maximum discharge quantity in technical process.Empirically determined first parameter process
The weight p for the gas that process generates1, second parameter working media weight p2, the limit that third parameter is reached by pumping container
The weight p of vacuum degree3, the weight p of maximum discharge quantity during the 4th parameter process4Respectively 0.3,0.3,0.2,0.2.
If the gas parameter value that case Ci technical process generates is x1, case Cj technical process generate gas parameter value be
y1, similarity are as follows:
If case Ci working media parameter value is x2, case Cj working media parameter value is y2, similarity are as follows:
If the final vacuum that case Ci is reached by pumping container is x3, case Cj is by the final vacuum that pumping container reaches
y3, similarity are as follows:
Sim(Ci3, Cj3)=min (x3,y3)/max(x3,y3) (4)
Wherein, the lesser side of numerical value in min (x3, y3) expression parameter value x3 and y3, max (x3, y3) expression parameter value
The biggish side of numerical value in x3 and y3.
If maximum discharge quantity is x in case Ci technical process4, maximum discharge quantity is y in case Cj technical process4If A is
Section [2x4, 3x4], B is section [2y4,3y4], similarity are as follows:
Sim(Ci4,Cj4)=L (AIB)/L (AYB) (5)
Wherein, A ∩ B indicates the intersection of section A and B, i.e. section [2x4, 3x4] and section [2y4,3y4] intersection, L (A ∩
B the length of corresponding intersection) is indicated, A ∪ B indicates the union of section A and B, i.e. section [2x4, 3x4] and section [2y4,3y4] and
Collection, L (A ∪ B) indicate the length of corresponding union.
Step 3: checking that case of the similarity greater than 50% is in case base for reuse.
In the present embodiment, similarity is greater than case totally 6 of 50% in case base, similarity 0.92,0.89,
0.76,0.61,0.58,0.56, the case selecting type scheme that similarity is 0.92 can be directly output as existing customer example solution.
Step 4: if in case base similarity without be greater than 50% case, to the selecting type scheme of existing case correct into
Row amendment.
In the present embodiment, if leading to case since existing customer demand parameter and the existing case production office of case base are larger
Case in example library without similarity up to 50%, the working media parameter as needed for existing customer are the nothing in case library containing dust granules
Case-work medium parameter is dust containing particle it is necessary to combine expertise and working experience to carry out artificial correction selecting type scheme,
Deduster or filter are added, before main pump to achieve the desired results.
Step 5: revised case being saved as and has been learnt in the case importing type selecting case base.
In the present embodiment, after being modified to present case, case has merged new expertise and has become valuable with experience
The case of value, needs to save as and has learnt case, imported into case base, enriches case base, improves case knowledge
The reliability in library.
It is to be illustrated to what preferable implementation of the invention carried out, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations on the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent deformations or replacement are all included in the scope defined by the claims of the present application.
Claims (5)
1. a kind of vacuum pump Intelligent Model Selection method of case-based reasioning, characterized in that be equipped with type selecting case base module, visitor
Family demand input module, case similarity matching module；
The type selecting case base module includes the existing vacuum pump cases of design set of enterprise, is to carry out Similar case search
Container；Each case includes four parameters:
It include two kinds of vapor, anhydrous steam gas 1. the gas that the technical process generates determines the type of selected vacuum pump
Body type；
2. working media determines the type of pump, including inflammable and explosive, corrosivity, containing dust granules, drying, easily chemically react
Five kinds of medium features；
3. the final vacuum reached by pumping container determines the model of selected vacuum pump, including 102-105Pa low vacuum, 10-2-10-1Vacuum, 10 in Pa-5-10-1Pa high vacuum, < 10-5Four sections of Pa ultrahigh vacuum；
4. maximum discharge quantity determines the size of selected vacuum pump in technical process；
The customer demand input module is generated for obtaining demand of the client to vacuum pump running parameter including technical process
Gas, working media, by discharge quantity maximum in pumping container final vacuum, technical process, respectively correspond the pass of vacuum pump type selecting
Key feature, and parameter value is transmitted to the case similarity matching module；
The case similarity matching module is used to receive the input parameter of the customer demand input module, calls the type selecting
Case base module, and according to the received input parameter of institute, using nearest neighbor method to the type selecting case base module
Case carries out matching retrieval；
The selection method, comprising the following steps:
(1) establish type selecting case base module: type selecting case base module is made of each old rule, and each case includes
Four parameters, are respectively as follows: the parameter of the gas generated in 1. technical process, and parameter value attribute is text, unit without；2. work Jie
The parameter of matter, parameter value attribute be text, unit without；3. the parameter of the final vacuum reached by pumping container, parameter value attribute
For numerical value, unit Pa；4. main pump pumping speed corresponds in customer demand input module maximum discharge quantity parameter, parameter in technical process
Value attribute is numerical value, unit m3/s；
If casebook is combined into C={ C in type selecting knowledge base1, C2, C3..., Cn, Ci(1≤i≤n) is a case in set,
CiParameter sets are { Ci1, Ci2, Ci3, Ci4}；Ci1The parameter of the gas generated in technical process for i-th of case, Ci2It is i-th
The parameter of the working media of a case, Ci3For the parameter for the final vacuum of i-th of case reached by pumping container, Ci4It is i-th
The main pump pumping speed of a case corresponds in customer demand input module maximum discharge quantity parameter in technical process；
(2) client inputs the demand of four running parameters of vacuum pump by customer demand input module, including technical process generates
Gas, working media, by discharge quantity maximum in pumping container final vacuum, technical process, respectively correspond vacuum pump type selecting
Key feature, customer demand example are expressed as Cj, parameter sets are { Cj1, Cj2, Cj3, Cj4, customer demand input module is by Cj
It is transmitted to case similarity matching module；
(3) case similarity matching module is used to receive the input parameter of the customer demand input module, calls the type selecting
Case base module, and according to the received input parameter of institute, using nearest neighbor method to the type selecting case base module
Case carries out matching retrieval, wherein customer demand example CjRespectively with C in case library1To CnThis n case is matched, i.e., into
Row n times compare, and finally the case by similarity in case base greater than 50% extracts；
Customer demand example CjWith case C in type selecting knowledge baseiSimilarity are as follows:
Wherein, pkIndicate the weight of k-th of parameter, pk∈ [0,1],Sim(Cik, Cjk), k=1 represents technical process
The gas parameter of generation, k=2 represent working media parameter, the final vacuum that k=3 is reached by pumping container, k=4 technical process
Middle maximum discharge quantity.
2. a kind of vacuum pump Intelligent Model Selection method of case-based reasioning according to claim 1, characterized in that set case
CiThe gas parameter value that technical process generates is x1, case CjThe gas parameter value that technical process generates is y1, similarity are as follows:
3. a kind of vacuum pump Intelligent Model Selection method of case-based reasioning according to claim 1 or 2, characterized in that set
Case CiWorking media parameter value is x2, case CjWorking media parameter value is y2, similarity are as follows:
4. a kind of vacuum pump Intelligent Model Selection method of case-based reasioning according to claim 3, characterized in that set case
CiThe final vacuum reached by pumping container is x3, case CjThe final vacuum reached by pumping container is y3, similarity are as follows:
Sim(Ci3, Cj3)=min (x3,y3)/max(x3,y3) (4)
Wherein, min (x3, y3) expression parameter value x3With y3The middle lesser side of numerical value, max (x3, y3) expression parameter value x3With y3In
The biggish side of numerical value.
5. a kind of vacuum pump Intelligent Model Selection method of case-based reasioning according to claim 4, characterized in that set case
CiMaximum discharge quantity is x in technical process4, case CjMaximum discharge quantity is y in technical process4If A is section [2x4, 3x4], B
For section [2y4,3y4], similarity are as follows:
Sim(Ci4,Cj4)=L (AIB)/L (AYB) (5)
Wherein, A ∩ B indicates the intersection of section A and B, i.e. section [2x4, 3x4] and section [2y4,3y4] intersection, L (A ∩ B) table
Show the length of corresponding intersection, A ∪ B indicates the union of section A and B, i.e. section [2x4, 3x4] and section [2y4,3y4] union, L
(A ∪ B) indicates the length of corresponding union.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113535748A (en) * | 2021-07-02 | 2021-10-22 | 中铁十五局集团有限公司 | Shield tunneling machine model selection system and method based on historical cases |
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2018
- 2018-08-08 CN CN201810897887.7A patent/CN109242256A/en active Pending
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| 周河声: ""基于知识工程的真空机组智能设计系统"", 《中国优秀硕士学位论文全文数据库(电子期刊) 工程科技Ⅱ辑》 * |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113535748A (en) * | 2021-07-02 | 2021-10-22 | 中铁十五局集团有限公司 | Shield tunneling machine model selection system and method based on historical cases |
| CN113535748B (en) * | 2021-07-02 | 2024-05-07 | 中铁十五局集团有限公司 | Shield tunneling machine type selection system and type selection method based on historical cases |
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Application publication date: 20190118 |