Research on the Application of Electromechanical Automation Control Software Architecture to Production Line Inspection Under Cloud Computing Platform

In this paper, a new type of production line inspection system is constructed by combining cloud computing platform with electromechanical automation control software. The system can realize remote data acquisition, real-time monitoring, and intelligent decision-making, and effectively improve the automation level and inspection efficiency of the production line. In the aspect of algorithm design, this paper introduces the fuzzy PID control algorithm. Compared with the traditional PID algorithm, the simulation results show that the fuzzy PID algorithm has significant advantages in dealing with nonlinear, uncertain, and time-varying problems, and can better adapt to the complex conditions of production line detection. In addition, in order to realize the efficient communication and data transmission of the production line detection system, a special communication module is designed in this paper, which supports a variety of communication protocols and can ensure the stable connection between the system and the sensors, actuators and other devices. Through simulation verification, the communication module can still maintain the integrity and real-time data under high load and complex network environment, which provides reliable technical support for production line detection.