Study on the framework of surveillance and management system for high-speed railway system

For most people, the high-speed railway has become an important and preferred way to travel. In order to improve the safety, it is of great importance to effectively monitor natural disasters, man-made destruction, and draw up reasonable emergency plan. However, we have great challenges to achieve effective surveillance and management for high-speed railway system, as it is a complex giant system. In order to solve this problem, we employ the theory of parallel system and the technology of big data. In this paper, we put forward the research frame of surveillance and management system for high-speed railway system so as to satisfy the practical requirements of monitoring and management. Firstly, the basic model of the artificial system is set up from the actual system, and then the design method of the computational experiment is given. Finally, the parallel execution of real and artificial systems is described in detail. The research framework proposed in this paper will provide reasonable solutions and suggestions for the parallel control and management of high-speed railway.