CN109978054A - Product Innovation Design Method based on SET and TRIZ - Google Patents

Product Innovation Design Method based on SET and TRIZ Download PDF

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Publication number
CN109978054A
CN109978054A CN201910229855.4A CN201910229855A CN109978054A CN 109978054 A CN109978054 A CN 109978054A CN 201910229855 A CN201910229855 A CN 201910229855A CN 109978054 A CN109978054 A CN 109978054A
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product
triz
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innovative
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杨勤
刘大帅
王卫星
王建伟
石勐
李媛媛
张宁
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Guizhou University
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Guizhou University
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F18/23Clustering techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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    • G06F30/20Design optimisation, verification or simulation

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Abstract

The invention discloses a kind of Product Innovation Design Methods based on SET and TRIZ, include the following steps: the global feature and the basic composed structure of product of (1) analysis existing product;(2) customer demand investigation is carried out under SET mode;(3) customer requirements weight is calculated with Information Entropy;(4) SET product chance emphasis notch depth is analyzed;(5) TRIZ theory analysis contradictory problems are used;(6) contradictory problems are solved with TRIZ theory;(7) design innovative scheme is proposed.SET and TRIZ of the present invention are combined, and can complete the innovative design of product, by the Product opportunity gap of user's investigation and the discovery of SET factor analysis method, and are converted it into Product design standard, are improved user satisfaction;Then the contradictory problems in above-mentioned discovery Product opportunity gap are described as Engineering technical parameters, it is solved the above problems contradiction using the inventive principle in TRIZ theory, design innovative is completed, and the method effectively shortens the design innovative period, there is stronger operability and versatility.

Description

Product Innovation Design Method based on SET and TRIZ
Technical field
The invention belongs to design innovative engineering fields, concretely relate to a kind of product based on SET and TRIZ Innovative design method.
Background technique
With the fast development of science and technology and the rapid variation of target market, competition among enterprises aggravation, the life cycle of product It greatly shortens, product wants have place in market economy, and carrying out design innovative is only way.But product is set For meter usually in default of novelty, creativeness and failure, technical staff is also that can not find the direction of design innovative and worried, The research of forefathers is repeated in many product design processes and time-consuming and laborious phenomenon is commonplace.Therefore, it is necessary to study simply may be used Capable innovative design method come exclude puzzlement innovative design obstacle, improve the effect of innovative design.
In modern technologies, SET factor analysis method passes through to social trend, economic stimuli, 3 aspect combined factors of advanced technology Analysis, accurately finds Product opportunity gap.New potential demand is obtained in Product opportunity gap, create new design direction or Existing product is improved, completion redefines market or even defines new markets.Inventive problem solves principle (TRIZ) and passes through 39 general engineering parameters and 40 inventive principles in Archie Schuler contradiction matrix solve the product chance of SET factor analysis Notch and contradiction therein, are finally completed design innovative process.
Summary of the invention
The technical problem to be solved by the present invention is to how the factors such as existing economy, technology and society limitation under conditions of, It was found that existing product chance notch, and design innovative mistake is effectively and rapidly completed by the inventive principle in TRIZ theory Journey.
Technical scheme is as follows:
(1) global feature and the basic composed structure of product of existing product are analyzed;It is analyzed by existing product and competing product etc. The characteristics such as the global feature of target product and composed structure out.
(2) customer demand investigation is carried out under SET mode: using SET factor analysis, from product society, economic and technical Angle excavate naive user demand information, then by investigation excavate naive user demand information clustered and arranged, and Invalid information is rejected, guarantees the confidence level of investigational data.But tradition SET analysis method cannot obtain accurate user demand, need Weight calculation carried out to the demand information tentatively obtained by Information Entropy and sorted, further complete SET using ranking results The analysis of product chance emphasis notch depth;
(3) with Information Entropy calculate customer requirements weight: by SET factor and customer demand be respectively designed to two parts it is important Questionnaire is spent, using 5 grades of Likert scales, is divided into very inessential, not too important, general, important and extremely important 5 A opinion rating respectively corresponds 1,2,3,4,5 totally 5 scorings.And SET factor and customer demand information are carried out by expert panel Marking, the weighted value of SET factor and customer demand is calculated separately using Information Entropy, specific step is as follows, wherein synthetic weights weight values For the product of two weighted values.
Step 1. constructs decision matrix.It is commented assuming that wherein there is m surveyee to carry out different degree to n final demand item Valence, i-th of surveyee indicate the scoring of j-th of final demand item with aij, construct decision matrix A=(aij)m×n
Step 2. standardizes decision matrix A.It utilizesDecision matrix A is standardized, B is obtained =(bij)m×n
Step 3. calculates entropy.If the entropy of j-th of requirement item is cij, thenI=1,2 ... m, j= 1,2 ... n.
Step 4. calculates the weight of each demand parameter.Utilize ej=1/cj, eij is normalized in j=1,2 ... n, Obtain j-th of demand parameter weightAnd
(4) SET product chance emphasis notch depth is analyzed: under SET factor analysis model, the chance notch depth of product Analysis is the key that product carries out innovative design.And according to the weight calculation of customer demand investigation and analysis under SET mode as a result, will The value opportunity of product chance emphasis notch is converted into important, representative Product design standard.
(5) TRIZ theory analysis contradictory problems are used: during design innovative, solving the contradiction in product design Problem is the emphasis of research, but solves the attribute that the contradictory problems in design innovative first have to determine contradictory problems, so It is described and selects inventive principle corresponding in Archie Schuler contradiction matrix, with corresponding Engineering technical parameters afterwards with solution Certainly next contradictory problems.
(6) contradictory problems are solved with TRIZ theory: is directed to the description of (5) described problem and contradictory problems is described as phase The Engineering technical parameters answered select inventive principle corresponding in Archie Schuler contradiction matrix, according to the inventive principle sequence of suggestion Number, corresponding settling mode is found, physics contradiction and technical contradiction in above-mentioned contradiction is then solved, finally completes products innovation Design.
(7) design innovative scheme is proposed.
The present invention combines SET and TRIZ, can complete the innovative design of product, passes through user's investigation and SET factor point The Product opportunity gap of analysis method discovery, and Product design standard is converted it into, improve user satisfaction;Then by above-mentioned discovery Contradictory problems in Product opportunity gap are described as Engineering technical parameters, solve above-mentioned ask using the inventive principle in TRIZ theory Inscribe contradiction, complete design innovative, and the method effectively shortens the design innovative period, have stronger operability and Versatility.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention;
Fig. 2 is SET factor analysis method schematic diagram in the present invention;
Fig. 3 is SET product chance emphasis notch depth analysis chart in the present invention.
Specific embodiment
It is further specifically described below by example to of the invention.The thought or the simple of allied substances that the present invention designs are replaced In generation, belongs to the scope of protection of the present invention.Involved ingredient or material in following methods are unless otherwise specified that commercial sources can It obtains.In related experimental methods unless otherwise specified be the existing conventional method of the art.Numerical value or numerical value therein Ratio refers both to mass figures or mass ratio such as without mark.
Embodiment 1:
Referring to Fig. 1, a kind of Product Innovation Design Method based on SET and TRIZ of the invention includes the following steps:
(1) global feature and the basic composed structure of product of existing product are analyzed;(2) customer is carried out under SET mode needs Ask investigation;(3) customer requirements weight is calculated with Information Entropy;(4) SET product chance emphasis notch depth is analyzed;(5) it uses TRIZ theory analysis contradictory problems;(6) contradictory problems are solved with TRIZ theory;(7) design innovative scheme is proposed.
By taking the implementation of family, family water planting vegetable planting box as an example:
1, family's water planting vegetable planting box feature:
Family's water planting vegetable planting box primary structure has area of illumination, contributing region and control area, vegetable aquaculture cultivation box composition. Area of illumination mainly includes the components such as illumination lamp, illumination inductor, light-operated motor, window-blind and top plate, and main function is for kind Vegetables photosynthesis is planted to provide;Contributing region is mainly made of self-loopa water system and water tank, completes to provide plant together The supply of moisture and nutriment promotes vegetables health normal growth;Manipulation zones values refer to control button and working condition display screen, It is that control illumination system and water system operate normally that it, which is acted on, adjusts operating status and time etc..
2, customer demand investigation is carried out under SET mode:
As shown in Fig. 2, by carrying out questionnaire survey and in-depth interview to somewhere, then to the customer demand information of acquisition Classification statistics is carried out, table 1 enumerates the higher keyword of attention rate in SET factor.
1 SET product chance keyword of table
3, customer requirements weight is calculated with Information Entropy:
SET factor and customer demand are respectively designed to two parts of different degree questionnaires, using 5 grades of Likert scales, divided For very inessential, not too important, general, important and extremely important 5 opinion ratings, 1,2,3,4,5 totally 5 are respectively corresponded A scoring.And give a mark by expert panel to SET factor and customer demand information, SET factor is calculated separately using Information Entropy With the weighted value of customer demand, specific step is as follows, and wherein synthetic weights weight values are the product of two weighted values, the results are shown in Table 2.
Step 1. constructs decision matrix.It is commented assuming that wherein there is m surveyee to carry out different degree to n final demand item Valence, i-th of surveyee indicate the scoring of j-th of final demand item with aij, construct decision matrix A=(aij)m×n
Step 2. standardizes decision matrix A.It utilizesDecision matrix A is standardized, B is obtained =(bij)m×n
Step 3. calculates entropy.If the entropy of j-th of requirement item is cij, thenI=1,2 ... m, j= 1,2 ... n.
Step 4. calculates the weight of each demand parameter.Utilize ej=1/cj, eij is normalized in j=1,2 ... n, Obtain j-th of demand parameter weightAnd
2 wired home vegetable planting box demand parameter weight of table;
4, SET product chance emphasis notch depth is analyzed:
Under SET factor analysis model, the analysis of the chance notch depth of wired home vegetable planting box product be product into The key of row innovative design.As shown in figure 3, according to the weight calculation of customer demand investigation and analysis under SET mode as a result, by product The value opportunity of chance emphasis notch is converted into important, representative Product design standard.
5, with TRIZ theory analysis contradictory problems:
Analyzed by above-mentioned SET product chance emphasis notch depth, vegetable cultivation diversification and cultivated area will it is big this Contradiction can be described as vegetable planting box should area realize that vegetable cultivation yield is big greatly, again area it is small with realize plantation it is more Type vegetables constitute due to proposing antipodal requirement to the size of vegetable planting box under different condition Physics contradiction.
In the growth of observation vegetables with reduction manual operation, the growth of observation vegetables can improve the complexity of state modulator with engineering Property is described.Measure in relation to improving observation vegetables growth may expend a large amount of time and efforts of user, make to reduce artificial A degree of deterioration has occurred in the design requirement of operation, while reducing manual operation and requiring to can be described as corresponding engineering deterioration Parameter, that is, waste of time.Therefore, the complexity and waste of time which is related to controlling in technological system constitutes a pair Technical contradiction.
It is simply minimized and simple operation three for Illumination adjusting intelligence with adapting to various vegetables planting requirement, product The contradictory analysis of person, the height for improving parameter candling adapt to various vegetables planting requirement and can be described as adaptability and versatility, The improvement of the requirement, which may cause product and simply minimize, occurs pernicious variations with two elements of simple operation, and product is simple Miniaturization and two elements of simple operation can be described with two parameters of the complexity of device and the convenience used respectively, Above three engineering parameter constitutes two pairs of technical contradictions.
In conclusion being primarily present a pair of of physics contradiction and three pairs of technologies in home intelligent vegetable planting box innovative design Contradiction.For physics contradiction, mainly it is spatially separating using 4 separation principles in TRIZ theory herein, temporal separation, entirety Both sides are separated with condition separation principle with being partially separated.Since above-mentioned physics contradiction pertains only to the size of product area and volume Problem, therefore can be used and be spatially separating principle solution, the corresponding relationship for being spatially separating principle and inventive principle is shown in Table 4;For skill Art contradiction, by determining that corresponding contradiction can be solved using the inventive principle in Archie Schuler contradiction matrix later in engineering parameter Problem, part Archie Schuler contradiction matrix is shown in Table 5.
The corresponding relationship of table 34 separation principles and inventive principle
4 Archie Schuler contradiction matrix (part) of table
6, contradictory problems are solved with TRIZ theory
Inventive principle corresponding to the physics contradiction and technical contradiction counted by above-mentioned table 2 and table 3, and successively select Inventive principle finds optimal solution.Obtain through researching and analysing: (1) No.1 and No.7 inventive principle is to vegetable cultivation diversification and plantation Area become larger this physics contradiction help it is larger, according to the segmentation principle of No.1 principle nested with No.7, wired home vegetable seed 3 small independent cultivation boxs can be divided into and nest into wired home vegetable planting box rear shell by planting case.Independent 3 microspecies It plants case and meets the diversified requirement of user's vegetable cultivation, while also improving the supply amount of vegetables entirety, furthermore moulding is also full The design requirement of sufficient globality.(2) inventive principle recommended according to the complexity of control and two contradiction matrix of waste of time It is found that the preparatory action principle of No.10 can effectively solve the growth of observation vegetables and reduce the contradiction between manual labor.Specific solution Certainly measure is to install inductor (humidity, nutrient and the soil quality etc. of detection organic soil) in cultivation box in advance, is being illuminated Mini video monitoring device is installed in area in advance, and is connected with mobile phone app, monitors the developmental process of vegetables in real time.Meanwhile it can be with Logical app shares and exchanges the intelligent experience for planting organic vegetable.(3) for adaptability and versatility and the convenience used and dress Two contradictions of complexity are set, No.15 mobilism principle and No.35 Parameters variation principle are that the height adaptation of solution lighting rod is a variety of Vegetable cultivation requires simply to minimize two contradictory most effectual ways using simple operation and product with product.Finally present Home intelligent vegetable planting box innovative design scheme works figure.
A kind of Product Innovation Design Method based on SET and TRIZ that this example provides at least has the advantages that
1, the design innovative period is substantially reduced, the quality of design innovative is improved.
2, user is improved in terms of product society, economic and technical to the satisfaction of product, is avoided product and is carried out blindly Design.
3, the insufficient and existing contradictory problems in existing product design are solved.
4, it is effectively reduced the cost that enterprise carries out design innovative.
Certainly, above is specific application example of the invention, and there are other embodiments of the invention, all using equivalent The technical solution that replacement or equivalent transformation are formed, all falls within protection scope of the presently claimed invention.

Claims (2)

1. a kind of Product Innovation Design Method based on SET and TRIZ, it is characterised in that: include the following steps: that (1) analysis is existing The basic composed structure of global feature and product of product;(2) customer demand investigation is carried out under SET mode;(3) Information Entropy is used Calculate customer requirements weight;(4) SET product chance emphasis notch depth is analyzed;(5) it is asked with TRIZ theory analysis contradiction Topic;(6) contradictory problems are solved with TRIZ theory;(7) design innovative scheme is proposed.
2. the Product Innovation Design Method according to claim 1 based on SET and TRIZ, it is characterised in that: in step (3) Calculate customer requirements weight with Information Entropy, determine items user demand weight, specifically includes the following steps:
Step 1. constructs decision matrix.Assuming that wherein there is m surveyee to carry out different degree evaluation to n final demand item, i-th A surveyee indicates the scoring of j-th of final demand item with aij, constructs decision matrix A=(aij)m×n
Step 2. standardizes decision matrix A.It utilizesDecision matrix A is standardized, B=is obtained (bij)m×n
Step 3. calculates entropy.If the entropy of j-th of requirement item is cij, then
Step 4. calculates the weight of each demand parameter.Utilize ej=1/cj, j=1,2 ... n are normalized eij, obtain J-th of demand parameter weightAnd
CN201910229855.4A 2019-03-25 2019-03-25 Product Innovation Design Method based on SET and TRIZ Pending CN109978054A (en)

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CN111626060A (en) * 2020-05-21 2020-09-04 山东师范大学 Product innovation design method and system based on object field analysis and rule reasoning

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CN111626060A (en) * 2020-05-21 2020-09-04 山东师范大学 Product innovation design method and system based on object field analysis and rule reasoning
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Application publication date: 20190705