Abstract: This paper analyzes the scheduling strategy in the TTCAN network platform for periodic message and nonperiodic message and improves the scheduling strategy respectively, at the same time optimizes the system matrix through genetic algorithm, and then uses the tool Stateflow in the Simulink to establish a TTCAN network scheduling simulation platform for general industrial control system, and optimizes the platform, the optimized simulation platform better improved the network's bandwidth utilization, and increased the bus communications traffic, reduced the response time of the sensor nodes' periodic message and the delay time of the sensor nodes' nonperiodic message.Consequently, this optimization improved the network platform's real-time communication performance.