Research on the Application of Deep Learning in Computer Interlocking System Simulation Test Platform

Abstract

Computer interlocking system is a safety-critical system. Aiming at the problems of insufficient testing, low efficiency, strong subjectivity, and poor comprehensibility in the current functional testing of computer interlocking systems using manual testing and automatic testing. A design scheme of a simulation test platform based on deep learning for automated testing of interlocking system functions is proposed. By analyzing the system structure of the interlock system and the process of manual and automatic testing, the design idea and implementation method of the simulation test platform are determined, and the automatic testing target of the interlock function is finally realized, thus achieving the goal of complete and efficient safety testing.