Agent Centric Modeling of Organizational and Technological Systems
Formulation of the problem: development of effective control systems for organizational and technological systems (OTS) requires their modeling and hardware and software implementation that enhance the rising of products quality of the process, reducing production costs, improving productivity and working conditions of staff. For some objects, such as rotary kilns of wet cement production method, sapphire crystals growing plants, there is a difficult to build an analytical model of the control system. So we propose the research of intelligent methods and network-based approaches for implementation of this task. The objective of work is the development, expansion and formalization of the OTS modeling methodology within the work carried out in Belgorod State Technological University n.a. V.G. Shukhov under the supervision of prof. V.Z. Magergut. To achieve this objective there has been used a several conceptual ways: the usage of the network model for analog data processing, the application of fuzzy behavior charts of nodes for modeling and synthesis of control automata for complex technological objects, the usage of machine vision in the control system for complex technological object, formalization and analysis of discrete organizational and technological systems with structured agents on the indicator networks. Used methods: as methods for solving the problem of agent-centric modeling used methods of Petri nets, including their modifications - information and binary indicator nets, methods of fuzzy behavior charts of nodes, methods of neural networks, in particular, Kohonen maps, methods of data classification, including, support vector method and extreme training method. Novelty: the elements of novelty of presented solutions are the proposed information Petri net for analog data processing, the method of models construction and synthesis of control automata for complex technological objects on the basis of fuzzy behavior charts of nodes, the method of assessing the state of the sintering zone and the parameters of the kiln calcination process based on image recognition, structure of advising control system for rotary cement kiln using machine vision, the proposed OTS network model based on binary indicator networks and concept “Maintenance-Service-Reporting”. Result: described in this article approaches have shown its efficiency in solving practical problems. Modeling of the closed-loop control system was successfully carried out with the help of an information Petri net. Application of fuzzy behavior charts of nodes has allowed to adequately generate the advice for rotary kiln control. Application of machine vision system has allowed to carry out evaluation of the sintering zone state with an average accuracy of above 94%, as well as to use the visual data in the kiln control system, thereby improving the efficiency of decision-making of operators on 12%. By using the binary indicator networks was obtained an adequate model of the installation of the artificial sapphires growing, was developed a binary network roadmap of information security support in the regional multi-functional center. Practical value: the results are implemented at the cement plant JSC "Oskolcement» (Stary Oskol), in the multifunctional center of state and municipal services of Belgorod region.