Mathematical modeling and dynamic simulation of air conditioning system in spinning workshop

In order to study the dynamic change of temperature and humidity in spinning workshop and provide operation platform for the automatic control strategy of air conditioning system, the models of spray chamber and spinning workshop were established respectively on the basis of heat, moisture and air-volume balance. The dynamic simulation platform of spinning air conditioning system was developed by Python and PyQt5 which support business logic programming with developed graphical user interface. The fresh air control strategy of dew point was established, and the automatic control of the temperature and humidity in the workshop was achieved based on the proportional integral derivative(PID)control algorithm. Taking the structure, process and air conditioning equipment of a spinning workshop as the basic parameters and boundary conditions of the simulation platform, the temperature and humidity changes in the workshop after changing the control parameters of air conditioning equipment were simulated. The results show that the simulation platform of air conditioning system of the spinning workshop is useful to adjust and control the air conditioning equipment. It can calculate the machine dew point of spray chamber, the changing value of the temperature and humidity, and the response time when the temperature and humidity are stable to the set temperature and humidity for the workshop. The simulation platform of spinning air-conditioning system has the virtual operation environment of a spinning workshop, which can be used to study the control strategy of the air-conditioning system. © 2022, Periodical Agency of Journal of Textile Research. All right reserved.