N.N. Voit – Ph.D.(Eng.), Associate Professor, Head of Laboratory of Innovative Virtual Design 

and Training Technologies of Department of Scientific Research and Innovation, 

Department «Computer Engineering», Ulyanovsk State Technical University

E-mail: n.voit@ulstu.ru

S.Yu. Kirillov – Post-graduate Student,  

Department «Computer Engineering», Ulyanovsk State Technical University

E-mail: kirillovsyu@gmail.com

S.I. Brigadnov – Ph.D.(Eng.), Junior Research Scientist, 

Ulyanovsk State Technical University

E-mail: sergbrig@yandex.ru

M.E. Ukhanova – Post-graduate Student, 

Department «Computer Engineering», Ulyanovsk State Technical University

E-mail: mari-u@inbox.ru

S.I. Bochkov – Post-graduate Student, 

Department «Computer Engineering», Ulyanovsk State Technical University

E-mail: bochkovsi@ido.ulstu.ru

D.S. Kanev – Ph.D.(Eng.), Head of Scientific and Technical Department, 

Ulyanovsk State Technical University

E-mail: dima.kanev@gmail.com

Currently, many design departments of domestic enterprises use production technologies using automated systems of threedimensional modeling of products. Computer-aided design (CAD) systems have become an integral part of the work of designers and designers. Modern production facilities have accumulated extensive experience in solving certain design tasks that need to be systematized and stored for reuse in production. At the same time, the possibility of reuse of design solutions in enterprises is an important task of great practical importance. As a result, properly systematized and accumulated design solutions form project knowledge, which can be represented as a library of instances of design solutions on the basis of ontology.

The authors review the approaches and models of knowledge representation, formalizing information about design solutions. The main models of knowledge are: logical, production, frame, network, object-oriented, ontological. This paper proposes the formation of a semantic model of the product and its organizational and technical components on the basis of ontology. The advantage of this method is that the ontological model conveys the actual data about the product with the allocation of entities-concepts and the identification of relations between them and their properties. The ontological model of the domain is developed, in which the levels of interaction are identified and described, classes, a set of domain terms, a set of objects of ontology classes and relations between them, as well as a set of interpretive functions are defined. The main advantage of the proposed model is the systematization of information about a complex technical product designed by CAD. This representation of the design solution in the form of a semantic model based on ontology allows for structural and parametric analysis of CAD products according to the requirements stated in the terms of reference and design characteristics. An example of the proposed ontological model of the domain in the form of a semantic network is presented.

The authors have developed a new method of forming libraries of copies of design solutions, the essence of which is to create a library of copies of CAD design solutions, modifying them with the new design tasks, applying the concept of reuse. A number of models that make up its scientific basis are proposed and described: a model of a library of copies of design solutions, a model of templates for building a design solution. The authors have developed an algorithm for the formation and filling of a library of copies of design decisions made in CAD, based on the developed ontological model of the subject area, which consists of 8 steps. With the help of the proposed algorithm, a library of copies of design decisions made in CAD is formed and filled. Copies of design solutions can be reused in project activities using CAD tools. The paper describes a number of rules necessary for the functioning of the library of design solutions based on ontology. The example of representation of the analyzed and filled design solution of CAD COMPASS in the form of semantic network on the basis of ontology is shown.

1. Gilbert D., Bernais P. Osnovaniya matematiki. Kn. 1: logicheskie ischisleniya i formalizatsiya arifmetiki: Per. s angl. M.: Nauka. 1979. 560 s. (In Russian).
2. Minskii M. Freimy dlya predstavleniya znanii: Per. s angl. M.: Energiya. 1979. 152 s. (In Russian).
3. Bashmakov A.I., Bashmakov I.A. Intellektualnye informatsionnye tekhnologii. M.: Izd-vo MGTU im. N.E. Baumana. 2005. 304 s. (In Russian).
4. Karas S.I. Modeli predstavleniya znanii i kognitivnaya psikhologiya: dve storony odnoi medali. Vestnik Tomskogo gosudarstvennogo universiteta. Filosofiya. Sotsiologiya. Politologiya. 2010. № 2(10). S. 23−26. (In Russian).
5. Veniaminov E.M., Mashunina M.Yu. Printsipy postroeniya otkrytogo yazyka shablonnykh vyrazhenii v sisteme predstavleniya znaniya. Nauchno-tekhnicheskaya informatsiya. Ser. 2. Informatsionnye protsessy i sistemy. 2000. № 7. S. 10−17. (In Russian).
6. Zagorulko G.B., Borovikova O.I. Problemy razrabotki ontologii dlya informatsionno-analiticheskogo Internet-resursa po podderzhke prinyatiya reshenii. Trudy Shestoi Mezhdunar. nauchnoi konf. «Informatsionnye tekhnologii i sistemy». 2017. S. 108−112. (In Russian).
7. Murtazina M.Sh. Sistema podderzhki prinyatiya reshenii pri gibkom podkhode k inzhenerii trebovanii na osnove OWL-ontologii. Vestnik Astrakhanskogo gosudarstvennogo tekhnicheskogo universiteta. Ser. «Upravlenie, vychislitelnaya tekhnika i informatika». 2018. № 4. S. 43−55. (In Russian).
8. Voit N.N., Kirillov S.Yu., Ukhanova M.E., Bochkov S.I., Ionova I.S., Brigadnov S.I. Metod izvlecheniya proektnykh kharakteristik izdeliya iz sistem upravleniya zhiznennym tsiklom slozhnykh tekhnicheskikh obieektov. Radiotekhnika. 2019. T. 83. № 9(14). S. 100−107. DOI: 10.18127/j00338486-201909(14)-15. (In Russian).
9. Nikolay Voit, Maria Ukhanova, Sergey Brigadnov, Dmitry Kanev Method to Get Assembly Design Parameters. INTERACTIVE SYSTEMS: Problems of Human–Computer Interaction. Collection of scientific papers. 2019. P. 82−96.
10. Nikolay Voit, Maria Ukhanova, Sergey Kirillov, Semen Bochkov Method to Create the Library of Workflows. INTERACTIVE SYSTEMS: Problems of Human–Computer Interaction. Collection of scientific papers. 2019. P. 97−207.
11. Ukhanova M.E. Razrabotka semanticheskoi modeli organizatsionno-tekhnicheskikh komponentov konstruktorskogo proektirovaniya na osnove ontologii. Informatsionno-izmeritelnye i upravlyayushchie sistemy. 2018. T. 16. № 11. S. 98−107. (In Russian).
12. Larsson Ya. Vazhnost povtornogo ispolzovaniya proektnykh reshenii. SAPR i grafika. 2014. № 2(208). S. 70−73. (In Russian).
13. Afanasev A.H., Brigadnov S.I., Kanev D.S. Razrabotka avtomatizirovannoi sistemy analiza proektnykh reshenii v SAPR KOMPAS-3D. Avtomatizatsiya protsessov upravleniya. 2018. № 1(51). S. 108−117. (In Russian).
14. Galkina E.V. Analiz instrumentov verifikatsii proektnoi dokumentatsii. Nauchno-tekhnicheskii vestnik Povolzhya. 2018. № 6. S. 95−97. (In Russian).