CN109783609B - Product development auxiliary system and method based on artificial intelligence - Google Patents
Product development auxiliary system and method based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses a product development auxiliary system and method based on artificial intelligence, which comprises a technical analysis module, a product development auxiliary module and a product development auxiliary module, wherein the technical analysis module is used for calculating the technological strength index of a product; the culture analysis module is used for calculating the culture trend strength index of the product; the patent analysis module is used for judging the frequency of the key words covered by the patent features by extracting the key words for patent analysis and comparing the key words with the patent features in a patent database in the field to which the key words belong; the scoring module is used for calculating a comprehensive evaluation value of product development according to the scientific and technological intensity index, the cultural trend intensity index and the patent feature coverage frequency; the invention comprehensively considers the market trend, the product cultural connotation and the technical life cycle on the basis of the technical analysis, the cultural analysis and the patent analysis of the product, and can determine the product development direction through the professional semantic analysis, thereby providing reliable basis for the product development decision of enterprises.
Description
Technical Field
The invention relates to the technical field of product development, in particular to a product development auxiliary system based on artificial intelligence and a corresponding method.
Background
Product Development refers to the Development of old products or new products with new features or uses to meet the needs of customers. Because people's demand changes and improves often, the enterprise only constantly improves the product, increases design and color and function, improves product quality, improves outward appearance packing decoration, just can adapt to the constantly changing demand of consumer to bring income and profit for the enterprise, make the enterprise keep the competitive advantage in market all the time. Therefore, the product development has very important significance for the survival development of enterprises.
Whether the product can be successfully produced in the market or not depends on the advancement of the product technology, and is closely related to the market development trend direction, product culture connotation, intellectual property protection and the like. However, in the existing product development process, enterprises often only pay attention to improvement or innovation of product technology and function, and can rarely make general consideration from the whole product development.
Disclosure of Invention
In order to improve the success rate of product development and avoid the loss of elements such as technology, market, culture, intellectual property and the like in the development stage, the invention provides a product development auxiliary system and method based on artificial intelligence.
In order to achieve the purpose, the invention adopts the technical scheme that:
an artificial intelligence based product development assistance system, comprising:
the technical analysis module is used for judging the technical category of the product according to the technical classification standard in the field of the product, and calculating the technological strength index of the product according to the technical category;
the culture analysis module is used for judging the culture category of the product according to the culture classification standard of the product field, and calculating the culture trend strength index of the product according to the culture category;
the patent analysis module extracts key words for patent analysis according to the technical category and the cultural category of the product; comparing the key words with patent features in a patent database in the field to judge the frequency of the key words covered by the patent features;
the scoring module is used for calculating a comprehensive evaluation value of product development according to the technological strength index of the technological analysis module, the cultural trend strength index of the cultural analysis module and the coverage frequency of the patent analysis module; wherein the higher the scientific and technological intensity index and the cultural trend intensity index are, the higher the score is; the lower the covering frequency, the higher the score.
Preferably, in the technical analysis module, the calculation method of the scientific and technological strength index includes:
scientific intensity index (hierarchy of scientific invention) technical maturity;
the invention creation is divided into 5 grades according to the TRIZ theory, each grade is endowed with a corresponding score, and the higher the grade is, the larger the corresponding score is; the technical maturity refers to the quantitative maturity presented in the technical diffusion curve.
Further, the 5 levels of the TRIZ theory include:
(1) simple modifications to existing systems;
(2) minor improvements to existing systems;
(3) fundamental improvements to existing systems;
(4) the innovation of the basic functions of the existing system is completed by adopting a brand new principle;
(5) the adoption of rare scientific principles leads to the invention and discovery of a new system.
Furthermore, the technology diffusion curve adopts an S curve, and the quantitative calculation mode of the technology maturity adopts the patent number under the technology category; alternatively, the technology diffusion curve adopts a Gartner curve, and the quantitative calculation mode of the technology maturity is quantified according to the market expectation calculation parameters defined by Gartner.
Preferably, in the culture analysis module, the culture categories are classified according to a 5-level classification structure of the Maslow demand theory, and sequentially comprise physiological demands, safety demands, social demands, respect demands and self-realization demands from low to high; or the culture categories are classified by adopting 7-level classification structures which accord with Chinese culture traditions, and the culture categories sequentially comprise from low to high: basic life, sensory life, rational life, social life, learning life, creative life and belief life.
Preferably, in the cultural analysis module, the cultural trend intensity index is calculated by:
the cultural tendency intensity index (public acceptability) tendency existence period (tendency influence degree);
wherein the public acceptance refers to the quantitative acceptance presented in the trend analysis database of the belonging field; the trend existence period is obtained by calculation according to the fluctuation rule of the trend line presented in the trend analysis database of the field; the trend influence degree refers to the trend influence degree which has a positive relation with the culture category.
Further, the trend analysis database adopts any one of hunter trend analysis database (trends hunter), hundredth index (Baidu index) and Google trend analysis database (Google trees), and the quantitative calculation method of the public acceptability is calculated according to more than one of the following parameters, including: popularity (popularity), activity (activity), freshness (freshness).
Preferably, in the patent analysis module, extracting a key vocabulary for patent analysis further includes the following steps:
(11) extracting original concepts according to the technical categories and the cultural categories, and calculating original concept scores: the original concept score is the technological strength index corresponding to the technology category and the cultural trend strength index corresponding to the cultural category;
(22) screening higher original concept combinations according to the original concept scores; the original concept combination comprises original concepts corresponding to the technology category and original concepts corresponding to the culture category;
(33) extracting key words corresponding to the technical category and key words corresponding to the culture category from the original concept combination by adopting a text mining algorithm (text mining);
(44) taking the key words corresponding to the technical category and the key words corresponding to the culture category as key words of patent analysis; alternatively, the first and second electrodes may be,
(55) and judging the similarity of a 'technology-culture' combination consisting of the key words corresponding to the technical category and the key words corresponding to the culture category and a 'technology-culture' combination in a case library, and taking the key words with the similarity higher than a preset threshold value as the key words of patent analysis.
Further, the key vocabulary refers to a functional description vocabulary of the product extracted from a TRIZ Effects library (TRIZ Effects Database).
Correspondingly, the invention also provides an artificial intelligence-based product development assisting method, which comprises the following steps:
a. judging the technical category of the product according to the technical classification standard of the product field, and calculating the technological strength index of the product according to the technical category;
b. judging the culture category of the product according to the culture classification standard of the product field, and calculating the culture trend strength index of the product according to the culture category;
c. extracting key words for patent analysis according to the technical category and the cultural category of the product;
d. comparing the key words with patent features in a patent database in the field to judge the frequency of the key words covered by the patent features;
e. calculating a comprehensive evaluation value of product development according to the scientific and technological strength index, the cultural trend strength index and the coverage frequency; wherein the higher the scientific and technological intensity index and the cultural trend intensity index are, the higher the score is; the lower the covering frequency, the higher the score.
The invention has the beneficial effects that:
(1) the product development direction is determined by comprehensively considering the market trend, the product cultural connotation and the technical life cycle on the basis of the technical analysis, the cultural analysis and the patent analysis of the product, so that a reliable basis is provided for the enterprise to make product development decisions;
(2) the patent analysis of the invention is carried out on the basis of technical analysis and cultural analysis, so that the accuracy of the patent analysis is higher.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural diagram of an artificial intelligence-based product development assistance system according to the present invention;
fig. 2 is a simplified flow chart of an artificial intelligence-based product development assistance method according to the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects of the present invention more clear and obvious, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the artificial intelligence-based product development assistance system of the present invention includes:
the technical analysis module is used for judging the technical category of the product according to the technical classification standard in the field of the product, and calculating the technological strength index of the product according to the technical category;
the culture analysis module is used for judging the culture category of the product according to the culture classification standard of the product field, and calculating the culture trend strength index of the product according to the culture category;
the patent analysis module extracts key words for patent analysis according to the technical category and the cultural category of the product; comparing the key words with patent features in a patent database in the field to judge the frequency of the key words covered by the patent features;
the scoring module is used for calculating a comprehensive evaluation value of product development according to the technological strength index of the technological analysis module, the cultural trend strength index of the cultural analysis module and the coverage frequency of the patent analysis module; wherein the higher the scientific and technological intensity index and the cultural trend intensity index are, the higher the score is; the lower the covering frequency, the higher the score.
The following details the analysis process of each module:
for the technical analysis module:
in the technical analysis of product development, not only the basic conditions of the product, such as technical indexes, technical teams, development resources, etc., need to be evaluated, but also the technical maturity of the product in the technical field and the degree of innovation of the product relative to the existing products in the market need to be evaluated, and the two are comprehensively reflected as the scientific and technological strength index.
In this embodiment, the calculation method of the scientific and technological strength index includes:
scientific intensity index (hierarchy of scientific invention) technical maturity;
the invention creation is divided into 5 grades according to the TRIZ theory, each grade is endowed with a corresponding score, and the higher the grade is, the larger the corresponding score is; the technical maturity refers to the quantitative maturity presented in the technical diffusion curve.
The TRIZ Theory refers to the solution Theory of the invention Problem (the Theory of Inventive Problim Solving) and the TRIZ Theory, wherein one of the important theories is the technical system evolution Theory. The theory has eight major evolutionary rules, which can be used to solve problems, predict technical systems, create and enhance tools for solving creative problems. The eight rules are: 1) the S curve evolutionary rule of the technical system; 2) the ideality rule is improved; 3) the unbalanced evolution law of the subsystems; 4) a dynamic and controllable evolutionary rule; 5) increasing the integration level and then carrying out a simplification rule; 6) a subsystem coordinated evolution rule; 7) rules applied to the micro level and the added field; 8) reduces the evolution rules of human intervention. And various tools of the TRIZ series are also provided, such as conflict matrixes, 76 standard solutions, ARIZ, AFD, substance-field analysis, ISQ, DE, 8 evolution types, scientific effects, 40 invention principles and the like.
The TRIZ theory also divides the invention into certain grades to be distinguished according to the contribution of the invention to science, the application range of technology, economic benefit brought to society and other conditions, and the grades comprise the following 5 grades:
(1) simple modifications to existing systems; the invention is mainly a small-sized invention of parameter optimization, does not need any special technique or knowledge in adjacent fields, mainly relies on knowledge and experience mastered by designers, does not need innovation, and is just the application of knowledge and experience.
(2) Minor improvements to existing systems; the solution to this class of problems has mainly adopted the improvement of existing systems by using the theory, knowledge and experience existing in the industry.
(3) Fundamental improvements to existing systems; the existing methods and knowledge outside the industry are mainly adopted for solving the problems, and the contradiction needs to be solved in the design process.
(4) The innovation of the basic functions of the existing system is completed by adopting a brand new principle; the solution of the problems is to fully control and utilize scientific knowledge and scientific principles to realize new invention creation from the scientific point of view rather than from the engineering point of view.
(5) The invention and discovery of a new system is caused by adopting an uncommon scientific principle; the problems are mainly solved according to new findings of natural laws or scientific new findings.
The higher the level of invention creation, the more knowledge is needed to obtain the invention patent, the wider the domain in which the knowledge is located, and the longer the time to search for useful knowledge. Meanwhile, with the development of society and the improvement of technology level, the level of invention creation is continuously reduced along with the change of time, and the original invention creation with the highest level gradually becomes the knowledge familiar and understood by people.
The technical diffusion curve adopts an S curve of one of the eight rules of the TRIZ theory, and the quantitative calculation mode of the technical maturity adopts the patent number under the technical category; in the TRIZ theory, the s-curve is simplified into a piecewise linear curve, which divides the product into 4 stages: infancy, growth, maturity and withdrawal. Determining the position of the product on the s-curve is called product technology maturity prediction. The TRIZ theory adopts four groups of curves of time and product performance, time and product profit, time and product patent number and time and patent level to comprehensively evaluate the position of a product on the curve, and preferably adopts the curve of the time domain product patent number as a decision basis for research and development of the product.
Alternatively, the technique diffusion curve may also employ a Gartner curve. The Gartner curve, i.e. the energy-allowing curve, is divided into 5 phases according to the evolution speed of maturity of various new technologies and the time required to reach maturity:
1) the Technology Trigger period of birth of science and Technology, in this stage, with the large and unreasonable reports of media, the popularity of products is ubiquitous, however, with the defects, problems and limitations of the science and Technology, the failure cases are larger than the success cases, for example, the unreasonable violent surge period between 1998 and 2000 of com company.
2) Peak of unexpected Expectations early public attention led to a series of successful stories-of course with numerous examples of failures. Some companies have taken remedial measures for failure, and most are not.
3) In the bottom valley period of foaming, the technology surviving in the previous stage is subject to many experiments, and the application range and limitation of the technology are objectively and practically understood, and the operation mode of success and survival gradually grows.
4) In the steady-climbing Ming period (Slope of illumination), a new technology was brought to birth and received high attention from the major media and industry in the market, such as Internet, Web in 1996;
5) during the peak period of actual production (plant of production), the benefit and potential of new technology generation are actually accepted by the market, and the tools and methodology that substantially support the business model are advanced into a very mature stage through generations of evolution.
The quantitative calculation mode of the technology maturity is to quantify according to the market expectation calculation parameters defined by Gartner. Specifically, according to the 5 periods, each period is assigned with a score, for example, the motivation period of the scientific birth is 2 due to the high risk; the peak of over-high expectation was assigned a score of 5; the foamed bottom valley stage gave a score of 10; the bright period of steady climb gives a score of 3; the peak period of substantial production is 0, since the innovation has been lost.
For the cultural analysis module:
in this embodiment, the culture categories are classified according to a 5-level classification structure of the maslo demand theory, and include physiological demands, safety demands, social demands, respect demands, and self-realization demands from low to high in sequence; or the culture categories are classified by adopting 7-level classification structures which accord with Chinese culture traditions, and the culture categories sequentially comprise from low to high: basic life, sensory life, rational life, social life, learning life, creative life and belief life; the method specifically comprises the following steps:
culture Level 7, belief life: for example, religious beliefs;
the Culture Level 6 is as follows: for example, do-it-yourself, chorus;
and (5) Curture Level 5, study and life: for example, numerous small informed parties, reading meetings;
the Culture Level 4 is social life: for example, tasting incense, tasting tea, artificial workers, college;
the Culture Level 3 is used for rational life: for example, sightseeing factories, natural ecological activities;
the Culture Level 2 is the sensory life; for example, entertainment, music, honest life, cloth bag play, singing play;
the Culture Level 1 is basic life; mainly comprises clothes and residences of people, such as Taiwan sausage, pearl milk tea and night market.
In the culture analysis module, the calculation method of the culture trend strength index adopts the following steps:
the cultural tendency intensity index (public acceptability) tendency existence period (tendency influence degree);
wherein the public acceptance refers to the quantitative acceptance presented in the trend analysis database of the belonging field; the trend existence period is obtained by calculation according to the fluctuation rule of the trend line presented in the trend analysis database of the field; the trend influence degree refers to the trend influence degree which has a positive relation with the culture category.
Further, the trend analysis database adopts any one of hunter trend analysis database (trends hunter), hundredth index (Baidu index) and Google trend analysis database (Google trees), and the quantitative calculation method of the public acceptability is calculated according to more than one of the following parameters, including: popularity (popularity), activity (activity), freshness (freshness).
For the patent analysis module:
in this embodiment, extracting the key vocabulary for patent analysis further includes the following steps:
(11) extracting original concepts according to the technical categories and the cultural categories, and calculating original concept scores: the original concept score is the technological strength index corresponding to the technology category and the cultural trend strength index corresponding to the cultural category;
(22) screening higher original concept combinations according to the original concept scores; the original concept combination comprises original concepts corresponding to the technology category and original concepts corresponding to the culture category;
(33) extracting key words corresponding to the technical category and key words corresponding to the culture category from the original concept combination by adopting a text mining algorithm (text mining);
(44) taking the key words corresponding to the technical category and the key words corresponding to the culture category as key words of patent analysis; alternatively, the first and second electrodes may be,
(55) judging the similarity of a 'technology-culture' combination consisting of the key words corresponding to the technical category and the key words corresponding to the culture category and a 'technology-culture' combination in a case library, and taking the key words with the similarity higher than a preset threshold value as the key words of patent analysis;
in the step (33), the text mining algorithm (text mining) includes algorithms such as natural language processing, statistical analysis, probability pattern, Concept mining (Concept Extraction), text summarization (text summarization), information filtering (information filtering), labeling or identifying of named entities (name tagging or identification), opinion analysis (opinion analysis), relation discovery (relation discovery), semantic analysis (semantic analysis), text classification (text classification), and text grouping (text grouping). In the embodiment, the key words are extracted by adopting a character exploration algorithm, and corresponding key words are obtained by comparing through a GoldFire semantic search engine and searching; the GoldFire semantic search engine applies the grammatical relation between matched search words and extracts results from the semantics expressed by sentences, so that accurate query can be performed, a knowledge base can be fully mined, and the retrieval time is reduced.
In the step (33), the key vocabulary preferably adopts a functional description vocabulary of a product, and the functional description vocabulary extracted in this embodiment is extracted from a TRIZ Effects library (TRIZ Effects Database); the scientific effect library is a knowledge library formed by integrating physical effects, chemical effects, biological effects, geometric effects and the like, lists 100 scientific effects and phenomena capable of realizing 30 functions in technical innovation, and is beneficial to breaking through the limitation that designers are only familiar with professional knowledge and diverging thinking to seek solutions of problems from other fields.
In the step (55), the approximation degree is determined by using a Semantic-Network dictionary (Semantic-Network dictionary) to determine the approximation degree of the keyword. In the embodiment, the key words corresponding to the technical category are associated with the key words corresponding to the culture category by using the function to be achieved; the method specifically comprises the following steps:
judging whether the functions expected to be achieved by the cultural consumption are similar to the functions which can be achieved by the technical development by using a semantic analysis method;
matching key words corresponding to the technical categories with similar functions and key words corresponding to the culture categories into a 'technical-culture' combination;
calculating the original concept score of the technology-culture combination according to the similarity of the technology-culture combination and the technology-culture combination in the case base;
the technology-culture combination with high original concept score is used as a key word for patent analysis.
Finally, comparing the key vocabulary with patent features in a patent database in the field to judge the frequency of the key vocabulary covered by the patent features; the higher the frequency, the lower the score.
In addition, the similarity may be determined according to the edit distance, the cosine distance, and the euclidean distance between the key words, or the similarity may be determined by using a semantic similarity algorithm, which is not limited to this.
The patent database includes at least australia, germany, france, uk, japan, russia, usa, china, and EPO, WIPO patent documents.
For the scoring module:
and finally, according to the calculation results of the modules, comprehensively calculating the technological strength index of the technical analysis module, the cultural trend strength index of the cultural analysis module and the coverage frequency of the patent analysis module to obtain a comprehensive evaluation value of product development.
In the embodiment, a comprehensive evaluation method is adopted, which is used for carrying out quantitative processing on items graded according to quality by grading and can be used for carrying out comprehensive evaluation on qualitative sorting problems. The core content of the method is that different scores are given to different grades of evaluation, and comprehensive evaluation is carried out on the basis of the scores. And after sequencing according to the height of the comprehensive evaluation value, outputting a sequencing result of product development, thereby facilitating a user to determine the development direction of the product.
As shown in fig. 2, the present invention further provides a method corresponding to the artificial intelligence based product development assistance system, which includes the following steps:
a. judging the technical category of the product according to the technical classification standard of the product field, and calculating the technological strength index of the product according to the technical category;
b. judging the culture category of the product according to the culture classification standard of the product field, and calculating the culture trend strength index of the product according to the culture category;
c. extracting key words for patent analysis according to the technical category and the cultural category of the product;
d. comparing the key words with patent features in a patent database in the field to judge the frequency of the key words covered by the patent features;
e. calculating a comprehensive evaluation value of product development according to the scientific and technological strength index, the cultural trend strength index and the coverage frequency; wherein the higher the scientific and technological intensity index and the cultural trend intensity index are, the higher the score is; the lower the covering frequency, the higher the score.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. As for the method embodiment, since it is basically similar to the system embodiment, the description is simple, and the relevant points can be referred to the partial description of the system embodiment.
Also, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. In addition, those skilled in the art will appreciate that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing associated hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disk, or the like.
While the above description shows and describes the preferred embodiments of the present invention, it is to be understood that the invention is not limited to the forms disclosed herein, but is not to be construed as excluding other embodiments and is capable of use in various other combinations, modifications, and environments and is capable of changes within the scope of the inventive concept as expressed herein, commensurate with the above teachings, or the skill or knowledge of the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. An artificial intelligence-based product development assistance system, comprising:
the technical analysis module is used for judging the technical category of the product according to the technical classification standard in the field of the product, and calculating the technological strength index of the product according to the technical category; the calculation method of the scientific and technological intensity index comprises the following steps:
scientific intensity index (hierarchy of scientific invention) technical maturity;
the invention creation is divided into 5 grades according to the TRIZ theory, each grade is endowed with a corresponding score, and the higher the grade is, the larger the corresponding score is; the technology maturity refers to the quantitative maturity presented in a technology diffusion curve;
the culture analysis module is used for judging the culture category of the product according to the culture classification standard of the product field, and calculating the culture trend strength index of the product according to the culture category;
the patent analysis module extracts key words for patent analysis according to the technical category and the cultural category of the product; comparing the key words with patent features in a patent database in the field to judge the frequency of the key words covered by the patent features;
the scoring module is used for calculating a comprehensive evaluation value of product development according to the technological strength index of the technological analysis module, the cultural trend strength index of the cultural analysis module and the coverage frequency of the patent analysis module; wherein the higher the scientific and technological intensity index and the cultural trend intensity index are, the higher the score is; the lower the coverage frequency, the higher the score;
wherein, in the patent analysis module, extracting key words for patent analysis, the method further comprises the following steps:
(11) extracting original concepts according to the technical categories and the cultural categories, and calculating original concept scores: the original concept score is the technological strength index corresponding to the technology category and the cultural trend strength index corresponding to the cultural category;
(22) screening higher original concept combinations according to the original concept scores; the original concept combination comprises original concepts corresponding to the technology category and original concepts corresponding to the culture category;
(33) extracting key words corresponding to the technical category and key words corresponding to the culture category from the original concept combination by adopting a text mining algorithm (text mining);
(44) taking the key words corresponding to the technical category and the key words corresponding to the culture category as key words of patent analysis; alternatively, the first and second electrodes may be,
(55) and judging the similarity of a 'technology-culture' combination consisting of the key words corresponding to the technical category and the key words corresponding to the culture category and a 'technology-culture' combination in a case library, and taking the key words with the similarity higher than a preset threshold value as the key words of patent analysis.
2. The artificial intelligence based product development assistance system of claim 1, wherein: the 5 levels of the TRIZ theory include:
(1) simple modifications to existing systems;
(2) minor improvements to existing systems;
(3) fundamental improvements to existing systems;
(4) the innovation of the basic functions of the existing system is completed by adopting a brand new principle;
(5) the adoption of rare scientific principles leads to the invention and discovery of a new system.
3. The artificial intelligence based product development assistance system of claim 1, wherein: the technology diffusion curve adopts an S curve, and the quantitative calculation mode of the technology maturity adopts the number of patents in the technology category; alternatively, the technology diffusion curve adopts a Gartner curve, and the quantitative calculation mode of the technology maturity is quantified according to the market expectation calculation parameters defined by Gartner.
4. The artificial intelligence based product development assistance system of claim 1, wherein: in the culture analysis module, the culture categories are classified according to a 5-level classification structure of the Maslow demand theory, and sequentially comprise physiological demands, safety demands, social demands, respect demands and self-realization demands from low to high; or the culture categories are classified by adopting 7-level classification structures which accord with Chinese culture traditions, and the culture categories sequentially comprise from low to high: basic life, sensory life, rational life, social life, learning life, creative life and belief life.
5. The artificial intelligence based product development assistance system according to claim 1 or 4, wherein: in the culture analysis module, the calculation method of the culture trend strength index adopts the following steps:
the cultural tendency intensity index (public acceptability) tendency existence period (tendency influence degree);
wherein the public acceptance refers to the quantitative acceptance presented in the trend analysis database of the belonging field; the trend existence period is obtained by calculation according to the fluctuation rule of the trend line presented in the trend analysis database of the field; the trend influence degree refers to the trend influence degree which has a positive relation with the culture category.
6. The artificial intelligence based product development assistance system of claim 5, wherein: the trend analysis database adopts any one of hunter trend analysis database (trends hunter), Baidu index and Google trend analysis database (Google trees), and the quantitative calculation mode of the public acceptance is calculated according to more than one of the following parameters, including: popularity (popularity), activity (activity), freshness (freshness).
7. The artificial intelligence based product development assistance system of claim 1, wherein: the key vocabulary refers to a functional description vocabulary for extracting products from a TRIZ Effects Database (TRIZ Effects Database).
8. A product development auxiliary method based on artificial intelligence is characterized by comprising the following steps:
a. judging the technical category of the product according to the technical classification standard of the product field, and calculating the technological strength index of the product according to the technical category; the calculation method of the scientific and technological intensity index comprises the following steps:
scientific intensity index (hierarchy of scientific invention) technical maturity;
the invention creation is divided into 5 grades according to the TRIZ theory, each grade is endowed with a corresponding score, and the higher the grade is, the larger the corresponding score is; the technology maturity refers to the quantitative maturity presented in a technology diffusion curve;
b. judging the culture category of the product according to the culture classification standard of the product field, and calculating the culture trend strength index of the product according to the culture category;
c. extracting key words for patent analysis according to the technical category and the cultural category of the product;
d. comparing the key words with patent features in a patent database in the field to judge the frequency of the key words covered by the patent features;
e. calculating a comprehensive evaluation value of product development according to the scientific and technological strength index, the cultural trend strength index and the coverage frequency; wherein the higher the scientific and technological intensity index and the cultural trend intensity index are, the higher the score is; the lower the coverage frequency, the higher the score;
wherein, extracting the key vocabulary for patent analysis further comprises the following steps:
(11) extracting original concepts according to the technical categories and the cultural categories, and calculating original concept scores: the original concept score is the technological strength index corresponding to the technology category and the cultural trend strength index corresponding to the cultural category;
(22) screening higher original concept combinations according to the original concept scores; the original concept combination comprises original concepts corresponding to the technology category and original concepts corresponding to the culture category;
(33) extracting key words corresponding to the technical category and key words corresponding to the culture category from the original concept combination by adopting a text mining algorithm (text mining);
(44) taking the key words corresponding to the technical category and the key words corresponding to the culture category as key words of patent analysis; alternatively, the first and second electrodes may be,
(55) and judging the similarity of a 'technology-culture' combination consisting of the key words corresponding to the technical category and the key words corresponding to the culture category and a 'technology-culture' combination in a case library, and taking the key words with the similarity higher than a preset threshold value as the key words of patent analysis.
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| CN103559616A (en) * | 2013-10-14 | 2014-02-05 | 浙江大学 | Detecting and evaluating method for customer satisfaction degree of cultural product |
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