CN102592010A - Creatively designed network platform constructing and applying method - Google Patents
Creatively designed network platform constructing and applying method Download PDFInfo
- Publication number
- CN102592010A CN102592010A CN2011104556450A CN201110455645A CN102592010A CN 102592010 A CN102592010 A CN 102592010A CN 2011104556450 A CN2011104556450 A CN 2011104556450A CN 201110455645 A CN201110455645 A CN 201110455645A CN 102592010 A CN102592010 A CN 102592010A
- Authority
- CN
- China
- Prior art keywords
- user
- search
- server
- software
- knowledge
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A creatively designed network platform constructing and applying method relates to the field of creative design of products, information retrieval and computer network service, and comprises the following steps: demand analysis software, a knowledge base system, a multi-layer research software, an online computer aided innovation software and scheme evaluation software are arranged in a server; (2) a user sends user requirements into the server on a remote networking computer and converts the user requirements into design demand data and returns the design demand data; (3) the user inputs the design demand data into the knowledge base system, the multi-layer research software or/and the online computer aided innovation software; (4) after the user solves, the server generates a first principle solution, a second principle solution or/and a third principle solution; (5) the user inquires and obtains a fourth principle solution in a patent database and a domain knowledge database by utilizing the first principle solution; and (6) the user inputs evaluation parameters and a formula for scheme evaluation. According to the method, a systematic creative design tool is provided, a user interface is set, more creative schemes are generated, the design efficiency and the design quality of the product are improved greatly, and the development period of new products is shortened.
Description
(1) technical field
The present invention is that the design innovative network platform makes up and methods for using them, relates to design innovative, information retrieval, computer-aided design (CAD) and computer network services system etc.Belong to Digital Data Processing Equipment class (G06F).
(2) background technology
Build innovation-oriented country, primary is the product innovation capability that improves each enterprise of China, and products innovation is the very strong driving force that promotes industry development and social progress.Can an enterprise carry out Product Renewal continuously, develops the new product that is fit to the market demand, becomes the significant problem that can this enterprise of decision realize sustainable and stable development.At present, the most of enterprises of China comprise innovative design method and system etc. owing to lack the concrete technology and the environment support of new product development, so innovation ability is generally not enough.Domesticly start late in the research aspect the innovative design instrument; The research of being carried out yet is in the stage at comparison initial stage; And these application resources do not obtain integrating yet; Some independent, local function programs have perhaps only been used a kind of innovative design method often, and the problems such as foundation, gordian technique and implementation method of more further design innovative service platform architecture are not well solved.
Present domestic designer is when carrying out scheme innovation design; The individual existing knowledge and experience of main dependence needs manual work to search data, and scheme is passed through brain thinking, reasoning, calculating acquisition basically; Though the designer can obtain some useful informations through network; Help the designer to carry out innovative design but also lack a kind of systematized instrument, do not have User Interface, be difficult to satisfy the new-product development demand.Therefore setting up one finds the solution plateform system towards designer's innovative problems scheme at all levels and has great importance.
(3) summary of the invention
The innovative design network platform that the present invention proposes makes up and methods for using them, and its purpose is exactly to solve the problem that the existing product innovative design lacks the systematization instrument, reduces designer's hand labor simultaneously, improves the quality and the efficient of product design.
Technical scheme of the present invention:
The innovative design network platform makes up and methods for using them, it is characterized in that this method comprises the steps:
(1) demand analysis software 6, KBS 8, multi-level search software 10, on-line computer auxiliary innovation software 12 and evaluate alternatives software 14 are set in server 5; Wherein
1) demand analysis software 6 comprises the following steps:
A. establish the user and import the list of requirements of user's request: list of requirements changes according to the difference of user's request.
B. be provided with and comprise customer demand weight and individual event demand market competitiveness weight:
Customer demand weight Ki (i=1,2 ... ..m, m represent the user's request number) desirable following 6 weighted values, see table 1.
Table 1
| Weighted value | Meaning |
| 0 | Do not consider |
| 1 | Do not influence the demand that function realizes |
| 2 | Do not influence the demand that major function realizes |
| 3 | The important demand that influences the function realization |
| 4 | The demand that the significant effects function realizes |
| 5 | Basic, relate to demand safe, particular importance |
Individual event demand market competitiveness weight Mi (i=1,2 ..m, m represent the user's request number) desirable following 6 weighted values, see table 2.Table 2
C., the technical measures tabulation is set, comprises technical measures name and technological competitiveness: the technical measures tabulation changes according to the different of user's request.
The function of technical measures tabulation is set: from the angle of technology our company and rival's product is assessed, and compared, check whether both are consistent with user's competitive evaluation result; Otherwise selected technical measures are adjusted.Because the measurement standard of each technical measures is not necessarily identical,, they are changed into unified standard for the ease of assessment; Be called single technology competitive power Tj (j=1,2 ....; N, the quantity of n presentation technology measure), expression is the technical merit of j item engineering measure.Here so-called technical merit comprises level, the design level of this enterprise, technological level, manufacture level, the test water equality of index itself.Can take off the numerical value of row, see table 3.Table 3
| Numerical value | Meaning |
| 0 | Do not consider |
| 1 | Technical merit is low |
| 2 | Technical merit is general |
| 3 | Technical merit reaches the industry advanced level |
| 4 | Technical merit reaches advanced international level |
| 5 | Technical merit is reached the international leading level |
D. according to the user mutual relationship between the technical measures is set, server is set up collison matrix: the line number columns of collison matrix is the technical measures number, matrix representation the conflict relationship between the technical measures.
In general; Realize many user's requests 3 of a product corresponding many technical measures; Interrelated influence is arranged between the various user's requests, thereby interrelated influence is also arranged between the various technical measures, the change of a certain technical measures can have influence on other technical measures and and then change.Can analyze and research to technical measures in view of the above, find the contradiction that possibly exist between the various technical measures to design the generation that avoids conflicts thus again;
Mutual relationship between the description technique measure is generally used symbol and the numeric representation relation between them, sees table 4.Table 4
| Mutual relationship | Numerical value |
| |
1 |
| Negative correlation | -1 |
| Irrelevant | 0 |
E. set up user's request and technical measures relational matrix: server is according to the user's request and the technical measures opening relationships matrix that obtain.Columns is the user's request number, and line number is the technical measures number.Utilize relational matrix can clear and definite technical measures and user's request between corresponding relation.Relationship degree r
Ij(i representes the user's request sequence number, j technical measures sequence number) adopted 1,3,5,7,9 relationship degree grades, sees table 5.
Table 5
F. server is set up quality function deployment (Quality Function Deployment; QFD) whole exploded view; And show at far-end computer: the column heading of figure comprises user's request weight, technical measures and technological competitiveness; Row headers is user's request tabulation and user's request competitive power, sets up collison matrix and mutual relationship between the technical measures topmost, and numerical value wherein is the numerical value that is provided with in former steps.
G. confirm data of design requirements 7: server is confirmed the technical measures importance degree according to the weight that is provided with, and the technical measures of resequencing out, is data of design requirements; And at far-end computer display design demand data, comprehensive competitive power index C.Data of design requirements confirms that step is following:
G1. the technical measures importance degree is confirmed method: the technical measures importance degree just is meant the weight hj of the technical measures after the weighting, calculates according to formula 1:
In the formula: h
j---j item technical measures importance degree
K
i---the customer demand weight of i item user's request
r
Ij---the relationship degree between user's request of i item and the j item technical measures
M---user's request item number
G2. comprehensive competitive power index M in market is confirmed method: when comparing competitive power; Important index is exactly market synthesized competitiveness index, its acquisition after Mi being carried out comprehensively; The value of M is the bigger the better, and explains that the competitiveness of product in market is big more.Calculate according to formula 2:
In the formula: M---the market synthesized competitiveness index
Ki---the customer demand weight of i item user's request
The individual event demand market competitiveness weight of Mi---i item user's request
M---user's request item number
G3. technological synthesis competitiveness index T confirms method: the measurement to the technological competitiveness of product is to be represented by the size of technological synthesis competitiveness index, and the technological competitiveness of the big explanation product of T is big.T obtains after carrying out comprehensively to Tj, calculates according to formula 3:
In the formula: T---technological synthesis competitiveness index
Tj---the single technology competitive power of j item technical measures
Hj---the weight of j item technical measures
N---technical requirement item number
G4. comprehensive competitive power index C confirms method: the comprehensive competitive power index is the product of market comprehensive competitive power index and technological synthesis competitiveness index, and the C value is the bigger the better, and calculates according to formula 4:
C=M*T (formula 4)
2) KBS 8 comprises following software module:
A. inventive principle storehouse comprises: 1. inventive problem solves 77 inventive principle among the theory T RIZ; 2. 77 inventive principle are explained; B. scientific effects storehouse: the principle knowledge collection that comprises physics, chemistry and mathematics subject; Clauses and subclauses are pressed the functional group classification; Each subject knowledge principle clauses and subclauses all is divided into description, application conditions, advantage, formula, remarks, restrictive condition and multimedia presentation seven parts, and each principle knowledge has all been carried out detailed description from form, logic content, effectiveness content and multimedia sign aspect; C. patent database: press inventive problem and solve 77 inventive principle among the theory T RIZ, just form patent database with patent document classification and tissue; D. domain knowledge base: the knowledge that comprises machine-building and electronic applications; These two fields comprise some knowledge entries, and each knowledge entry comprises related patent U.S. Patent No., benefit analysis, functional attributes, reference information, affiliated field, principle of work, conceptual description, eight parts of application example.
3) multi-level search software 10 comprises following five kinds of ways of search of retrieval on the internet: Natural Language Search, guiding search, keyword search, classified browse search are or/and random search.Wherein: 1) Natural Language Search is to let the user directly import the idea of natural language expressing oneself, and system is through defining searching key word to natural language analysis; 2) the guiding search is to give expression to a plurality of keywords that need search through the system bootstrap user; 3) keyword search is to return Search Results through the coupling of single keyword; 4) classified browse is a system provides the reclassify catalogue of five classes, 58 one-level subjects, 573 secondary subjects, nearly 6000 three grades of subjects according to " People's Republic of China's subject classification and code national standard ", and the subject name through the third level is referred to as keyword; 5) random search is passed through extracting keywords Search Results on network in system database at random.
4) the auxiliary innovation of on-line computer software 12; Comprise following flow process: case study: 12.1. user imports data of design requirements 7: comprise engineering name, problem title and specific descriptions; 12.2. the user imports subsystem titles at different levels, shows with tree structure; 12.3. the user selects to need improved subsystem, submits to server; 12.4. server asks a question from people, machine, material, environment, method, six aspects of measurement automatically, helps the user from these six aspect problem analysis reasons; 12.5. obtain a plurality of problem reason data, be shown to far-end computer; Problem solving: 12.6. user selects a problem reason, is submitted to server; 12.7. the server search KBS obtains the 3rd former understanding, the 3rd former understanding is presented on the far-end computer.
5) evaluate alternatives software 14 (see figure 5)s: comprise that the user imports evaluating, obtains evaluation coefficient K by the judgement schematics that is provided with, and carries out evaluate alternatives by evaluation coefficient.
(2) user 1 input user's request 3 on networking far-end computer 2 is imported server 5 through network 4 with user's request; Demand analysis software 6 in the server converts user's request to data of design requirements 7; And return far-end computer from Service-Port output and give the user;
(3) user is input to the KBS 8 in the server, multi-level search software 10 or/and the auxiliary innovation of on-line computer software 12 with data of design requirements 7;
(4) after the user was inquired about as follows and found the solution by data of design requirements 7, server produces the first former understanding, the second former understanding automatically or/and the 3rd former understanding, and returns far-end computer through network and give the user:
1) user directly inquires about the inventive principle storehouse by demand data 7, or/and the user imports the physical parameter inquiry inventive principle storehouse that produces contradiction; The user launches to check each knowledge entry of scientific effects storehouse through the functional tree classification, or/and directly inquire about the scientific effects storehouse through keyword search; Server produces the first former understanding 9 thus.
2) user by the five kind modes of data of design requirements 7 through multi-layer network search software 10 be from closely to loose search, be automatically converted to one or more keywords, and search for through the search engine of GOOGLE, Search Results is the second former understanding 11.
3) user assists innovation software by data of design requirements 7 through on-line computer; At first get into case study: server asks a question from six aspects such as people, machine, material, environment, method, measurements automatically, helps the user from these six aspect problem analysis reasons; Pass through problem solving again: the user selects to import a problem reason, obtains the 3rd former understanding through the KBS search with the knowledge entry title;
(5) user is through the first former understanding directly inquiry in patent database, or/and the user inquires about in patent database through functional group; The user obtains the 4th former understanding 16 through the knowledge entry of the input first former understanding inquiry domain knowledge base;
(6) user imports evaluating and server carries out evaluate alternatives automatically by judgement schematics.
Beneficial effect of the present invention:
1) network platform and methods for using them that makes up provides a kind of systematized instrument to help the designer to carry out innovative design, sets up user interface, and the user can land on any Net-connected computer, carries out innovative design comprehensively.The present invention can produce more innovation scheme for the designer, improves the efficient and the quality of product scheme design, shortens new product development cycle.2) demand analysis software 6 helps the designer to convert user's request 3 into data of design requirements 7, promptly is the engineering characteristic that the client is converted into corresponding product needed to the functional requirement of product.Help the designer to confirm the characteristic of paying close attention to most.3) KBS 8 that provides provides cross-cutting knowledge for the user, has broken professional limitation, obtains having separating of subject crossing character.90%-95% above innovation and creation information in whole world all at first reflects through patent, has contained a large amount of technical information, economic information, legal information in the patent, and the patent database of foundation can directly provide service effectively.The domain knowledge base of setting up from multi-angle, cross-cutting Knowledge Source is provided for the deviser.4) making up multi-level search software 10 can not provide under the effective knowledge situation by KBS in book server, carries out information search by loose surfing on the net, obtains the second former understanding.
(4) description of drawings
Fig. 1 innovative design network platform makes up and the application process synoptic diagram.
Fig. 2 demand analysis software 6 process flow diagrams.
The multi-level search software of Fig. 3 is formed and the retrieval mode synoptic diagram.
The auxiliary innovation of Fig. 4 on-line computer software 12 process flow diagrams.
Fig. 5 evaluate alternatives software 14 process flow diagrams.
(5) embodiment
Embodiment 1:
The innovative design network platform makes up and application process comprises the steps:
(1) sees Fig. 1, demand analysis software 6, KBS 8, multi-level search software 10, on-line computer auxiliary innovation software 12 and evaluate alternatives software 14 are set in Sichuan University's innovative design network platform server 5; Wherein
1) see Fig. 2, demand analysis software 6 comprises the following steps:
A. establish the list of requirements of user's 1 input user's request 3: see table 6.
B. be provided with and comprise customer demand weight and individual event demand market competitiveness weight: see table 6
Table 6
C., the technical measures tabulation is set, comprises technical measures name and technological competitiveness: the technical measures tabulation changes according to the different of user's request, sees table 7.Table 7
D. the user is provided with the mutual relationship between the technical measures, and server is set up collison matrix: the line number columns of collison matrix is the technical measures number, matrix representation the conflict relationship between the technical measures, see table 8.
Table 8
E. set up user's request and technical measures relational matrix: server is according to the user's request and the technical measures opening relationships matrix that obtain.Columns is the user's request number, and line number is the technical measures number.Gauge outfit shows customer demand and technical measures respectively.Utilize relational matrix can clear and definite technical measures and user's request between corresponding relation, see table 9.
Table 9
F. server is set up the whole exploded view (seeing table 10) of QFD; And show at far-end computer: the column heading of figure comprises customer demand weight, technical measures and technological competitiveness; Row headers is the user's request tabulation and the market competitiveness; Set up collison matrix between the technical measures topmost, numerical value wherein is the numerical value that is provided with in former steps.Table 10
G. confirm data of design requirements 7: server is confirmed the technical measures importance degree according to the weight that is provided with, and the technical measures of resequencing out, is data of design requirements, sees table 11; And, see table 12 at far-end computer display design demand data, comprehensive competitive power index.
Table 11
| The technical measures name | The technical measures importance sorting |
| Suck power | 114 |
| The sealing of complete machine | 87 |
| The air channel design | 52 |
| The bag dust filter volume | 34 |
| Orifice plane | 21 |
| The suction cleaner size | 19 |
| Suction cleaner weight | 13 |
Table 12
2) KBS 8 comprises following software: see Fig. 1,
A. inventive principle storehouse comprises: 1. inventive problem solves 77 inventive principle among the theory T RIZ; 2. 77 inventive principle are explained; B. scientific effects storehouse: the principle knowledge collection that comprises physics, chemistry and mathematics subject; Clauses and subclauses are pressed the functional group classification; Each subject knowledge principle clauses and subclauses all is divided into description, application conditions, advantage, formula, remarks, restrictive condition and multimedia presentation seven parts, and each principle knowledge has all been carried out detailed description from form, logic content, effectiveness content and multimedia sign aspect; C. patent database: press inventive problem and solve 77 inventive principle among the theory T RIZ, just form patent database with patent document classification and tissue; D. domain knowledge base: the knowledge that comprises machine-building and electronic applications; These two fields comprise some knowledge entries, and each knowledge entry comprises related patent U.S. Patent No., benefit analysis, functional attributes, reference information, affiliated field, principle of work, conceptual description, eight parts of application example.
3) see Fig. 1, multi-level search software 10 comprises following five kinds of ways of search of retrieval on the internet: Natural Language Search, guiding search, keyword search, classified browse search are or/and random search.Wherein: 1) Natural Language Search is to let the user directly import the idea of natural language expressing oneself, and system is through defining searching key word to natural language analysis; 2) the guiding search is to give expression to a plurality of keywords that need search through the system bootstrap user; 3) keyword search is to return Search Results through the coupling of single keyword; 4) classified browse is a system provides the reclassify catalogue of five classes, 58 one-level subjects, 573 secondary subjects, nearly 6000 three grades of subjects according to " People's Republic of China's subject classification and code national standard ", and the subject name through the third level is referred to as keyword; 5) random search is passed through extracting keywords Search Results on network in system database at random.
4) see Fig. 4, the auxiliary innovation of on-line computer software 12 comprises following flow process:
Case study: comprise
12.1. user 1 input data of design requirements 7 comprises: 1. engineering name: amphicar is improved.2. problem name: improve its water sailing speed.3. specifically describe: rapidity waterborne is one of important performance of amphicar.Yet under the constraint of factors such as dynamic property, economy, stability, current improvement has been tending towards the limit from the power aspect to automobile.This just needs to adopt new theory, new technology that it is innovated, to improve performances such as its headway, limiting velocity, speed control flexibility.
12.2. the user imports subsystem titles at different levels, shows with tree structure, sees table 13.
Table 13
12.3. user's 1 selection needs improved subsystem " 1.1. reduces frictional resistance ", submits to server.
12.4. server asks a question from 6 aspects such as people, machine, material, environment, method, measurements automatically, helps the user from these 6 aspect problem analysis reasons.
12.5. obtain a plurality of problem reason data " material hardness is not enough, extreme performance is not enough, complicated operation, work noise big ", be shown to far-end computer.
Problem solving: comprise
12.6. the user selects 1 problem reason " extreme performance is not enough ", is submitted to server.
12.7. server, sees that table 14 is its knowledge entry fragment through KBS search knowledge entry.
Table 14
Obtain the 3rd and formerly understand " form effect ", and be shown on the far-end computer.In " problem solving ", the user can import a plurality of problem reasons, to obtain former understanding from a plurality of angles.
5) evaluate alternatives software 14: see Fig. 5, in steps: the user imports evaluating: scheme cost C and time T.Three kinds of judgement schematics: the K=-C-T, K=-10C-T, the K=-C-10*T that are recommended by server obtain the K value.Estimate with three kinds of K values; The K value is little, and scheme satisfies design requirement more; Be stored in server memory and get time use ready.
(2) see Fig. 1, user 1 is input user's request 3 on networking far-end computer 2: " improving amphicar water sailing speed ", through network 4 server 5 is imported in user's request; Demand analysis software 6 in the server; Convert user's request 3 to data of design requirements 7, comprise that " car body quality, soak area, waterline length, thickness ratio, car body surface tortuosity factor, fluid mass bulkfactor, fluid motion viscosity coefficient " etc. reduces the technical measures of resistance; And return far-end computer from Service-Port output and give the user.
(3) see Fig. 1, the user is with data of design requirements 7: reduce resistance, be input to the KBS 8 in the server, multi-level search software 10 or/and the auxiliary innovation of on-line computer software 12.
(4) see Fig. 1, user's request data 7: reduce resistance, after inquiring about as follows and finding the solution, server produces the first former understanding, the second former understanding automatically or/and the 3rd former understanding, and returns far-end computer through network and give the user:
1) user is by demand data 7: reduce resistance, directly inquire about the inventive principle storehouse, or/and the user imports the physical parameter inquiry inventive principle storehouse that produces contradiction; The user launches to check each knowledge entry of scientific effects storehouse through the functional tree classification, or/and directly inquire about the scientific effects storehouse through keyword search; Server produces the first former understanding 9: friction effect, form effect.
2) see Fig. 1; The user is by data of design requirements 7: reduce resistance; Five kinds of mode Natural Language Searchs through multi-layer network search software 10, guiding search, keyword search, classified browse search or/and random search in order from closely to loose search; Be automatically converted to one or more keywords, and search for through the search engine of GOOGLE, Search Results is the second former understanding 11: the sub warhead that reduces resistance.
3) see Fig. 4; The user is by data of design requirements 7: reduce resistance; Through the auxiliary innovation of on-line computer software 12, at first get into case study, after input and clicking; Server asks a question from 6 aspects such as people, machine, material, environment, method, measurement automatically: be short of power, extreme performance deficiency, complicated operation, work noise are big etc., the problem analysis reason: unreasonable structure, SR are big, manufacturability deficiency etc.; The user selects to import a problem reason, obtains the 3rd former understanding 13 through the KBS search with the knowledge entry title: amphicar marine propulsion actuating unit, hull chassis skate-boarding appliance, motorboat flashing device.
(5) see Fig. 1, the user is through the first former understanding directly inquiry in patent database, or/and the user inquires about in patent database through functional group; The user obtains the 4th former understanding 16 through the knowledge entry of the input first former understanding inquiry domain knowledge base: add two water pumps alow, the wave that absorbs the ship front end gets into respective channel in the car body, with pressure pump water is pressurizeed, and sprays from the tailstock subsequently; Increase a plurality of gas orifices at middle part, motorboat bottom surface, will after inhaled air processed compressed on the water surface, spray, to produce bubble from gas orifice.
(6) see Fig. 5, server is according to the evaluating of user's input; Scheme cost C and time T; Reach three the judgement schematics K=-C-T, K=-10C-T, the K=-C-10*T that are provided with and obtain the K value, carry out evaluate alternatives automatically, the K value is little, and scheme satisfies design requirement more.Obtain preferred plan data 15 thus, and return user's (see figure 1) through far-end computer.
Claims (2)
1. the innovative design network platform makes up and methods for using them, it is characterized in that this method comprises the steps:
(1) demand analysis software (6), KBS (8), multi-level search software (10), on-line computer auxiliary innovation software (12) and evaluate alternatives software (14) are set in server (5); Wherein
1) demand analysis software (6) comprises the following steps:
A. establish the list of requirements of user (1) input user's request (3); B. be provided with and comprise customer demand weight and individual event demand market competitiveness weight; C., the technical measures tabulation is set, comprises technical measures name and technological competitiveness; D. the user is provided with the mutual relationship between the technical measures, and server is set up collison matrix according to technical measures; E. server is set up user's request and technical measures relational matrix according to the demand number and the measure number of user's request and the acquisition of technical measures interface; F. server is set up the whole exploded view of QFD and is shown at far-end computer (2); G. confirm data of design requirements (7), server is according to the weight that is provided with, and computing technique measure importance degree, and the technical measures of resequencing out are data of design requirements; And show at far-end computer (2);
2) KBS (8) comprises following software module:
A. inventive principle storehouse comprises: 1. inventive problem solves 77 inventive principle among the theory T RIZ; 2. 77 inventive principle are explained; B. scientific effects storehouse: the principle knowledge collection that comprises physics, chemistry and mathematics subject; Clauses and subclauses are pressed the functional group classification; Each subject knowledge principle clauses and subclauses all is divided into description, application conditions, advantage, formula, remarks, restrictive condition and multimedia presentation seven parts, and each principle knowledge has all been carried out detailed description from form, logic content, effectiveness content and multimedia sign aspect; C. patent database: press inventive problem and solve 77 inventive principle among the theory T RIZ, just form patent database with patent document classification and tissue; D. domain knowledge base: the knowledge that comprises machine-building and electronic applications; These two fields comprise some knowledge entries, and each knowledge entry comprises related patent U.S. Patent No., benefit analysis, functional attributes, reference information, affiliated field, principle of work, conceptual description, eight parts of application example;
3) multi-level search software (10) comprises following five kinds of ways of search of retrieval on the internet: Natural Language Search, guiding search, keyword search, classified browse search are or/and random search;
4) the auxiliary innovation of on-line computer software (12); Comprise following flow process: case study: a. user imports data of design requirements (7): comprise engineering name, problem title and specific descriptions; B. the user imports subsystem titles at different levels, shows with tree structure; C. the user selects to need improved subsystem, submits to server; D. server asks a question from people, machine, material, environment, method, six aspects of measurement automatically, helps the user from these six aspect problem analysis reasons; E. obtain a plurality of problem reason data, be shown to far-end computer; Problem solving: f. user selects a problem reason, is submitted to server; G. server search KBS knowledge entry obtains the 3rd former understanding, and the 3rd former understanding is presented on the far-end computer;
5) evaluate alternatives software (14), comprise following flow process: a. user imports evaluating; B. server obtains evaluation coefficient K according to the judgement schematics of built-in judgement schematics or user's input; C. carry out evaluate alternatives by evaluation coefficient;
(2) user (1) goes up input user's request (3) at networking far-end computer (2), through network (4) server (5) is imported in user's request (3); Demand analysis software (6) in the server converts user's request (3) to data of design requirements (7); And return far-end computer from Service-Port output and give the user;
(3) user is input to the KBS (8) in the server, multi-level search software (10) or/and the auxiliary innovation of on-line computer software (12) with data of design requirements (7);
(4) after the user was inquired about as follows and found the solution by data of design requirements (7), server produces first automatically formerly to be understood (9), second and formerly understands (11) or/and the 3rd formerly understand (13), and returns far-end computer through network and give the user:
1) user directly inquires about the inventive principle storehouse by data of design requirements, or/and the user imports the physical parameter inquiry inventive principle storehouse that produces contradiction; The user launches to check each knowledge entry of scientific effects storehouse through the functional tree classification, or/and directly inquire about the scientific effects storehouse through keyword search; Server produces the first former understanding thus;
2) user by the five kind modes of data of design requirements through the multi-layer network search software be from closely to loose search, be automatically converted to one or more keywords, and search for through the search engine of GOOGLE, Search Results is the second former understanding;
3) user assists innovation software by data of design requirements through on-line computer; At first get into case study: server asks a question from six aspects such as people, machine, material, environment, method, measurements automatically, helps the user from these six aspect problem analysis reasons; Pass through problem solving again: the user selects to import a problem reason, obtains the 3rd former understanding through the KBS search with the knowledge entry title;
(5) user is through the first former understanding directly inquiry in patent database, or/and the user inquires about in patent database through functional group; The user is through the knowledge entry of input first former understanding inquiry domain knowledge base, obtains the 4th and formerly understands (16);
(6) user imports evaluating, and server carries out evaluate alternatives automatically by judgement schematics.
2. make up and methods for using them by the said network platform of claim 1, it is characterized in that said step () 3) in the concrete grammar of five kinds of ways of search following:
1) Natural Language Search is to let the user directly import the idea of natural language expressing oneself, and system is through defining searching key word to natural language analysis; 2) the guiding search is to give expression to a plurality of keywords that need search through the system bootstrap user; 3) keyword search is to return Search Results through the coupling of single keyword; 4) classified browse is a system provides the reclassify catalogue of five classes, 58 one-level subjects, 573 secondary subjects, nearly 6000 three grades of subjects according to " People's Republic of China's subject classification and code national standard ", and the subject name through the third level is referred to as keyword; 5) random search is passed through extracting keywords Search Results on network in system database at random.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011104556450A CN102592010A (en) | 2011-12-30 | 2011-12-30 | Creatively designed network platform constructing and applying method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011104556450A CN102592010A (en) | 2011-12-30 | 2011-12-30 | Creatively designed network platform constructing and applying method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102592010A true CN102592010A (en) | 2012-07-18 |
Family
ID=46480644
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011104556450A Pending CN102592010A (en) | 2011-12-30 | 2011-12-30 | Creatively designed network platform constructing and applying method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102592010A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412943A (en) * | 2013-08-24 | 2013-11-27 | 河南星智发明电子科技有限公司 | Intelligent invention method |
| CN103646149A (en) * | 2013-12-23 | 2014-03-19 | 四川大学 | Knowledge-engineering-based automatic scheme generation and evaluation system and method |
| CN103744972A (en) * | 2014-01-10 | 2014-04-23 | 上海交通大学 | Service TRIZ-based conflict resolution method for service design |
| CN103838822A (en) * | 2014-01-10 | 2014-06-04 | 上海交通大学 | Service design conflict recognition method based on service TRIZ |
| CN103971023A (en) * | 2014-05-26 | 2014-08-06 | 北京亿维讯科技有限公司 | Automatic quality evaluating system and method in research and development process |
| CN108108484A (en) * | 2018-01-09 | 2018-06-01 | 阿凡提信息科技（湖南）股份有限公司 | New knowledge generation system, method and storage medium based on technical need |
| CN110543948A (en) * | 2019-08-19 | 2019-12-06 | 广州华旻信息科技有限公司 | Robot implementation method based on innovation method and tool |
| CN110598021A (en) * | 2018-05-25 | 2019-12-20 | 阿里巴巴集团控股有限公司 | Method, device and system for acquiring knowledge graph of picture |
| CN112069558A (en) * | 2020-09-16 | 2020-12-11 | 四川大学 | RFKD-based product innovation design knowledge pushing system and construction method |
| CN112288177A (en) * | 2020-11-03 | 2021-01-29 | 云南电网有限责任公司信息中心 | Intelligent recommendation method based on TRIZ innovation theory |
| CN112598405A (en) * | 2021-02-20 | 2021-04-02 | 汇正(广州)企业管理咨询有限公司 | Business project data management method and system based on big data |
| CN117195435A (en) * | 2023-10-08 | 2023-12-08 | 四川大学 | Method and system for designing special questions of electromechanical product |
-
2011
- 2011-12-30 CN CN2011104556450A patent/CN102592010A/en active Pending
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103412943A (en) * | 2013-08-24 | 2013-11-27 | 河南星智发明电子科技有限公司 | Intelligent invention method |
| CN103646149A (en) * | 2013-12-23 | 2014-03-19 | 四川大学 | Knowledge-engineering-based automatic scheme generation and evaluation system and method |
| CN103646149B (en) * | 2013-12-23 | 2016-04-27 | 四川大学 | The scheme of KBE generates automatically, evaluating system and method |
| CN103744972A (en) * | 2014-01-10 | 2014-04-23 | 上海交通大学 | Service TRIZ-based conflict resolution method for service design |
| CN103838822A (en) * | 2014-01-10 | 2014-06-04 | 上海交通大学 | Service design conflict recognition method based on service TRIZ |
| CN103971023A (en) * | 2014-05-26 | 2014-08-06 | 北京亿维讯科技有限公司 | Automatic quality evaluating system and method in research and development process |
| CN108108484A (en) * | 2018-01-09 | 2018-06-01 | 阿凡提信息科技（湖南）股份有限公司 | New knowledge generation system, method and storage medium based on technical need |
| CN110598021A (en) * | 2018-05-25 | 2019-12-20 | 阿里巴巴集团控股有限公司 | Method, device and system for acquiring knowledge graph of picture |
| CN110598021B (en) * | 2018-05-25 | 2023-03-21 | 阿里巴巴集团控股有限公司 | Method, device and system for acquiring knowledge graph of picture |
| CN110543948A (en) * | 2019-08-19 | 2019-12-06 | 广州华旻信息科技有限公司 | Robot implementation method based on innovation method and tool |
| CN112069558A (en) * | 2020-09-16 | 2020-12-11 | 四川大学 | RFKD-based product innovation design knowledge pushing system and construction method |
| CN112069558B (en) * | 2020-09-16 | 2022-12-02 | 四川大学 | RFKD-based product innovation design knowledge pushing system and construction method |
| CN112288177A (en) * | 2020-11-03 | 2021-01-29 | 云南电网有限责任公司信息中心 | Intelligent recommendation method based on TRIZ innovation theory |
| CN112598405A (en) * | 2021-02-20 | 2021-04-02 | 汇正(广州)企业管理咨询有限公司 | Business project data management method and system based on big data |
| CN112598405B (en) * | 2021-02-20 | 2021-11-05 | 苏州天合启信科技有限公司 | Business project data management method and system based on big data |
| CN117195435A (en) * | 2023-10-08 | 2023-12-08 | 四川大学 | Method and system for designing special questions of electromechanical product |
| CN117195435B (en) * | 2023-10-08 | 2024-02-27 | 四川大学 | Method and system for designing special questions of electromechanical product |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102592010A (en) | Creatively designed network platform constructing and applying method | |
| Chen | Science mapping: a systematic review of the literature | |
| CN101321190B (en) | Recommend method and recommend system of heterogeneous network | |
| CN100470554C (en) | Individual relation finding method based on path grade at large scale community network | |
| CN100583804C (en) | Method and system for processing social network expert information based on expert value propagation algorithm | |
| Schaer | Applied informetrics for digital libraries: an overview of foundations, problems and current approaches | |
| CN105095433A (en) | Recommendation method and device for entities | |
| CN101930438A (en) | Search result generating method and information search system | |
| Åström | The visibility of information science and library science research in bibliometric mapping of the LIS field | |
| CN104700190B (en) | One kind is for project and the matched method and apparatus of professional | |
| CN102456016B (en) | Method and device for sequencing search results | |
| CN101286151A (en) | Method for establishing multidimensional model and data store mode mappings and relevant system | |
| CN101710318A (en) | Knowledge intelligent acquiring system of vegetable supply chains | |
| CN103198136B (en) | A kind of PC file polling method based on sequential correlation | |
| CN101216853A (en) | Intelligent web enquiry interface system and its method | |
| CN103399862B (en) | Determine the method and apparatus of search index information corresponding to target query sequence | |
| Matkovic et al. | Interactive visual analysis of complex scientific data as families of data surfaces | |
| CN110413865A (en) | Semantic expressiveness model and its method based on alternating binary coding device characterization model | |
| Pasinato et al. | Generating synthetic data for context-aware recommender systems | |
| CN104156431B (en) | A kind of RDF keyword query methods based on sterogram community structure | |
| CN101388025A (en) | Semantic web object ordering method based on Pagerank | |
| CN102799586B (en) | A kind of escape degree defining method for search results ranking and device | |
| CN103455619A (en) | Grading treatment method and system based on Lucene fragmentation structure | |
| CN110874366B (en) | Data processing and inquiring method and device | |
| CN103324707A (en) | Query expansion method based on semi-supervised clustering |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20120718 |