Research On Safety And Control Method For Equipment Integrated System Based On Network Model

Equipment Integrated System (EIS) is a highly coupled, feature-rich high life and high reliability of complex equipment which is constituted of mechanical, electrical, hydraulic, control and other physical processes and disciplines technologies. EIS consists of multiple subsystems with the coupling between closely related, and has the characteristics of running a complex process, and state changes over time, the security of its operations has received widespread attention. Safety analysis of traditional methods are mostly from the viewpoint of risk of accident and did not make full use of monitoring information, is limited by the low accident rate and the complex functions of the system. Based on elements state within the system and monitoring information on research and analysis of system safety and control, the main research contents are as follows:First of all, based on the structure-function analysis, the EIS is decomposed into several subsystems, and to reduce complexity. Combining the availability of monitoring information of each subsystem and expertise to extract elements that characterize the security indicators. Based on network theory, with the components of the EIS for a node, the reliability index for the property, associated coupling between components for an edge, transmission intensity for the right side, build the system coupling relation network models. The mapping theory has been put forward to study the various forms of implicit relational model between nodes information and security indicators information in the network, and build the system security model from the microscopic State to the macro.Secondly, in the study of integrated system security controls, nodes topological indices are extracted using the complex network theory and the risk indicators of nodes is defined and solved using radar model according to the mapping relationship between the nodes and the security elements. Then the multiple attribute decision making method of TOPSIS is applied to find the system key nodes. Study on the propagation characteristics of system failures caused by network elements, and presents the node spread attribute that integrated the node centrality and node failure rate. Based on coupling relation networks, build a path search for multiple sources of fault propagation model and use this method to find the key path for ensuring the system security and control.Finally, the multi-layer fuzzy safety evaluation structure of system is built on the basis of the security elements and subsystems and has realized the process from the microscopic state to the emergence of macro-security of the system for evaluating the security states of the system. The above methods and models are applied in the high-speed train systems. The results show that the safety and control method for EIS safety analysis research has opened up a new way of thinking.