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 networks 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 platforms real-time communication performance.