Classroom temperature and humidity control method for optimizing PID parameters based on grey wolf algorithm

Abstract

The invention belongs to the field of temperature and humidity control, and particularly discloses a classroom temperature and humidity control method for optimizing PID (Proportion Integration Differentiation) parameters based on a grey wolf algorithm, which comprises the following specific steps: a temperature and humidity acquisition module detects the temperature and humidity in a classroom, and sends the temperature and humidity information of a terminal node to a ZigBee coordinator through a ZigBee network in a ZigBee networking mode; the ZigBee coordinator is communicated with the WiFi module through a serial port, and is sent to the upper computer and the STM32 controller through a TCP / IP (Transmission Control Protocol / Internet Protocol); the temperature controller is adjusted and controlled through PID to drive the heating module and the cooling module to work; iteratively updating and updating parameters by using a grey wolf algorithm, and outputting a final PID parameter value to control the temperature. According to the invention, PID parameters are optimized through the grey wolf algorithm, the temperature controller is controlled, and classroom-oriented environment perception, management and equipment control are effectively realized.

Description

technical field [0001] The invention relates to a teaching room temperature and humidity control method, in particular to a teaching room temperature and humidity control method based on a gray wolf algorithm to optimize PID parameters. Background technique [0002] Due to the continuous updating of scientific and technological innovation, people enjoy more and more convenience brought by intelligence, especially the advent of smart home, so that people's intelligent requirements for classrooms have gradually changed from intelligent teaching to comprehensive intelligent classroom environment. Since the temperature of the traditional classroom is controlled manually by the administrator, and it is easy to leave the equipment and not turn it off, the equipment will have a reduced service life and a waste of energy. At the same time, the classroom personnel are concentrated, and the teaching room temperature and humidity cannot be timely and effectively feedback and controlled...

AI Technical Summary

Problems solved by technology

At the same time, in terms of the application of intelligent control, the traditional PID parameter setting problem has strong randomness, and the temperature and humidity information feedback and real-time control cannot be obtained in time. and low power consumption requirements, it is difficult to achieve a good adjustment effect for complex conditions

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