Data Mining Based on the Protection Priority of HSRN System Based on Supply and Demand

The development of high-speed railway network is closely related to the development of national economy. In order to accurately identify the key nodes of high-speed railway and further improve the protection ability, we carried out the data mining on the two aspects of supply and demand of high-speed railway. Considering the functional characteristics of high-speed railway transportation and the imbalance between supply and demand, the paper analyzesd the complex network of high-speed railway, which is first upgraded to the directed transportation network and then reduced to the undirected hierarchical network. And the marginal utility model and the competitive opportunity gravity model were used as the supply and demand indexes, and the comprehensive analysis of high-speed railway network is carried out by the method of comprehensive quantification of damage utility to quantify the protection priority value of the network system. The results of case analysis showed that the difference of network demand was obvious, and the fluctuation of supply difference was small. Compared with single analysis, the comprehensive analysis result was more accurate and instructive, which reduced the mistake of subjective judgment based on previous empiricism due to the limitation of people's consciousness, and provided theoretical basis for the decision-making of high-speed railway network protection priority and the allocation of protection resources.