Cloud system for decision supporting of technological process of restoration of surfaces of structures and machine parts

Abstract

The object of research is the process of decision support of the technological process. The subject of the research is the decision support system of the technological process of restoration of surfaces of structures and machine parts in the form of cloud service. The purpose of the work is to develop a decision support system for the technological process of restoration of surfaces of structures and machine parts in the form of cloud service, which will further optimize high-tech processes of enterprises of various scales using cloud information technology. As a result of the research, the difficulties of automating the design of technological processes are analyzed, mainly due to the fact that the tasks of technological process design do not currently have formal methods of solution. Therefore, for the implementation of technological design, the development of formalization of technology (or part of it), ie the replacement (transformation) of meaningful proposals by the mathematical apparatus. As a result of this formalization, a scheme of information flow in the process of process optimization is proposed. the model of realization of structure of technological process for which the basic input parameters are defined is developed: the list of parameters influencing process. The structure of the expert system for optimization of technological processes was also proposed, the methods of knowledge presentation were analyzed and the scheme of information flows during the implementation of this expert system was developed accordingly. Based on the considered and developed methods and mechanisms used for the development of technological processes, the structure of the information cloud decision support system for automation of the creation of optimized technological processes has been developed. Using the developed methods and models, as a result of the process of process optimization according to acceptable heuristic rules, it was possible to obtain a set of chains of separately optimized technological processes, from which multicriteria selection that meets the optimization requirements. The user of the system can receive in return both one card of technological process, and some best. Conclusions. The developed approaches to the optimization of technological processes were applied to solve the problem of optimization of the technological process of electric arc processing. First, the technological process of electric arc processing was formalized. After that, the formation of heuristic rules and knowledge base of the structure of the technological process of electric arc spraying and accordingly developed the structure of the knowledge base of this technological process and a diagram of the use of the developed information system in the form of cloud service.