МЕТОД СИНТЕЗА ФУНКЦИОНАЛЬНОЙ СТРУКТУРЫ НОВЫХ ТЕХНИЧЕСКИХ РЕШЕНИЙ НА ОСНОВЕ ДАННЫХ ПАТЕНТНЫХ МАССИВОВ
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

SYNTHESIS METHOD FOR THE FUNCTIONAL STRUCTURE OF NEW TECHNICAL DECISIONS BASED ON PATENT MAS

Korobkin D.M.,  Fomenkov S.A.,  Kolesnikov S.G. 

UDC 004.89
DOI: 10.26102/2310-6018/2019.25.2.017

  • Abstract
  • List of references
  • About authors

The authors of the paper present a developed method for synthesizing the functional structure of new technical systems based on the use of a morphological matrix formed as a result of semantic processing of patent corpus. One of the goals of the synthesis of new technical solutions is to improve the characteristics of individual components of a technical object (TO). For this, it is necessary to detail the TO constructive functional structure, i.e. define the TO components and the functions of the TO components. On the basis of the extracted SAO from the claims, the relationships between the technical object and its components are determined. The extracted attribute SAOs are used to define the functions of a technical object. Based on the morphological matrix, we configure new technical solutions and rank them using the method of conjoint analysis (CA). The CA's criterion is calculated based on the number of patents from which the selected technical function was extracted. Another task of the synthesis of new technical solutions is the realization of technical function. In this method, we use the information from the developed matrix linking physical effects (PE) and the technical functions (TF) performed by them. The required TF can be implemented directly by the PE, otherwise the task for the synthesis of the physical operating principle (POP) is formed. Among the POP structures constructed, an optimal one is selected based on the criterion estimates of all the PE included in it. Based on the optimal POP, the flow functional structure of the synthesized technical system is formed.

1. Polovinkin A.I. Metody inzhenernogo tvorchestva: ucheb. posobie / Polovinkin A.I.; VPI. - Volgograd, 1984. - 365 s.

2. Altshuller G. S. Najti ideyu. 3-e izd., dop.. — Petrozavodsk: Skandinaviya, 2003.

3. Salamatov Y. P. TRIZ: the Right Solution at the Right Time: A Guide to Innovative Problem Solving. (O. Kraev, Trans.) (2nd ed., p. 254). Krasnoyarsk: Institute of Innovative Design, 1999.

4. Sakao T. A QFD-centred design methodology for environmentally conscious product design, Int. J. Prod. Res., vol. 45, no. 18–19, pp. 4143–4162, 2007.

5. Kremer G. O., Chiu M.-C., Lin C.-Y., Gupta S., Claudio D., Thevenot H. Application of axiomatic design, TRIZ, and mixed integer programming to develop innovative designs: a locomotive ballast arrangement case study, Int. J. Adv. Manuf. Technol., vol. 61, no. 5–8, pp. 827–842, 2012.

6. Bariani P. F., Berti G., Lucchetta G. A Combined DFMA and TRIZ approach to the simplification of product structure, Proc. Inst. Mech. Eng. Part B J. Eng. Manuf., vol. 218, no. 8, pp. 1023–1027, 2004.

7. Vumek Dzhejms P., Dzhons Daniel T. Berezhlivoe proizvodstvo. Kak izbavit'sja ot poter' i dobit'sja procvetanija vashej kompanii. — M.,: «Al'pina Pablisher», 2011.

8. G. Cascini and D. Russo, “Computer-aided analysis of patents and search for TRIZ contradictions,” Int. J. Prod. Dev., vol. 4, no. 1/2, pp. 52–67, 2007.

9. Gerasimov, V., Kalish, V., Kuzmin, A., & Litvin, S. S. (1991). Basics of Function-Cost Analysis approach. Guidelines (in Russian) (p. 40). Moscow: Moscow, Inform-FSA.

10. Devoino, I. G., Koshevoy, O. E., Litvin, S. S., & Tsourikov, V. (2001). Computer based system for imaging and analyzing a process system and indicating values of specific design changes. US Patent 6,202,043.

11. Fomenkov S.A., Davydov D.A., Kamaev V.A.. Modelirovanie i avtomatizirovannoe ispol'zovanie strukturirovannyh fizicheskih znanij: monografija - M.: Mashinostroenie-1, 2004. - 278 s.

12. Fomenkova M.A., Korobkin D.M., Kravec A.G., Fomenkov S.A. Metodika identifikacii SAO struktur. Matematicheskie metody v tehnike i tehnologijah - MMTT. 2017. T. 5. S. 85-88.

13. Korobkin D.M., Tjul'kina E.A., Fomenkov S.A., Kolesnikov S.G. Sistema izvlechenija tehnicheskih funkcij iz patentnogo massiva. ITNOU. 2017. № 2 (2). S. 24-30.

14. Vasilyev S.S., Haritonov A.A., Korobkin D.M., Fomenkov S.A. Izvlechenie opisanij morfologicheskih priznakov tehnicheskih ob#ektov iz russkojazychnyh patentov. Modelirovanie, optimizacija i informacionnye tehnologii. 2018. T. 6. № 4 (23). S. 421-433.

15. Green, P. E. and Srinivasan V. Conjoint Analysis in Marketing: New Developments with Implications for Research and Practice. Journal of Marketing, Vol. 54, 1990, pp. 3-19.

16. Fomenkov S.A., Korobkin D.M., Karachunova G.A., Kopasov A.N. Modifikacija modeli opisanija fizicheskogo jeffekta dlja zadachi sinteza linejnyh i setevyh struktur fizicheskih principov dejstvija. Izvestija VolgGTU. 2015. № 6 (163). S. 200-207.

17. Korobkin D.M., Fomenkov S.A. Method of detection of technical functions performed by physical effects. IOP Conference Series: Earth and Environmental Science. – [IOP Publishing], 2018. – 7 p. – URL : http://iopscience.iop.org/article/10.1088/1755-1315/194/2/022014/pdf.

18. Korobkin D.M., Fomenkov S.A., Kravets A.G. Extraction of physical effects practical applications from patent database. IISA 2017. – [Publisher : IEEE], 2017. – P. 1-5. – DOI: 10.1109/IISA.2017.8316402.

19. Korobkin D.M., Fomenkov S.A., Kravets A.G. Extraction of physical effects practical applications from patent database. IISA 2017. – [Publisher : IEEE], 2017. – P. 1-5. – DOI: 10.1109/IISA.2017.8316402.

20. Korobkin D.M., Fomenkov S.A., Kolesnikov S.G.. The method for detecting the dependencies between technical functions and physical effects. MCCSIS 2018. – [Madrid], 2018. – P. 225-228.

Korobkin Dmitry Mikhailovich
Candidate of Technical Sciences
Email: dkorobkin80@mail.ru

Volgograd State Technical University

Volgograd, Russian Federation

Fomenkov Sergey Alekseevich
Doctor of Technical Sciences
Email: saf550@yandex.ru

Volgograd State Technical University

Volgograd, Russian Federation

Kolesnikov Sergey Grigorievich

Email: sk375@bk.ru

Volgograd State Technical University

Volgograd, Russian Federation

Keywords: morphological analysis, technical functions, physical effects, patents

For citation: Korobkin D.M., Fomenkov S.A., Kolesnikov S.G. SYNTHESIS METHOD FOR THE FUNCTIONAL STRUCTURE OF NEW TECHNICAL DECISIONS BASED ON PATENT MAS. Modeling, Optimization and Information Technology. 2019;7(2). URL: https://moit.vivt.ru/wp-content/uploads/2019/05/KorobkinSoavtori_2_19_1.pdf DOI: 10.26102/2310-6018/2019.25.2.017 (In Russ).

638

Full text in PDF

Published 30.06.2019