Design of intelligent air conditioning system based on PLC
基于PLC的智能化空调系统设计

摘要

随着制造业智能化转型即将深入推进，提升生产效率和能源利用率成为工厂环境调控系统走进智能化关键。主要针对如今工厂中央空调系统能耗比较高、区域温湿度控制精度相对不足的问题，进行基于PLC的智能化空调系统设计方案的执行，主要是实现对不同区域温度、湿度等环境参数的调控，通过MCGS组态软件模拟仿真实现调控，尽可能达到节能消耗降低、优化工厂生产环境的目的。系统选用西门子S7-1200 PLC作为主要控制器，在不同区域放置数字温湿度传感器用来采集环境的温度，利用PID算法和变频调速等方法对各分区进行独立调节，在硬件设计方面上，对传感器型号方面，电机型号方面，扩展模块方面进行了综合性的选择，并通过模块化的方式实现了多个任务的实现，通过对硬件设备进行和的选择和配置，编写控制程序，通过仿真运行验证分区域的控制逻辑，智能化空调系统的实际运行能耗节约的提升体现了理论的在复杂环境中的效果，两者共同证明了系统的有效性。

Abstract

As the intelligent transformation of the manufacturing industry is about to advance in depth, enhancing production efficiency and energy utilization efficiency has become pivotal for the intelligentization of factory environmental control systems. Addressing the current issues of high energy consumption and relatively inadequate precision in regional temperature and humidity control in factory central air conditioning systems, this paper executes a design scheme for an intelligent air conditioning system based on Programmable Logic Controller (PLC). The primary objective is to regulate environmental parameters such as temperature and humidity in different zones. Through simulation and emulation using MCGS configuration software, the system aims to achieve energy conservation and optimize the factory production environment. The system selects Siemens S7-1200 PLC as the main controller. Digital temperature and humidity sensors are placed in different zones to collect environmental temperature data. Independent regulation of each zone is achieved through methods such as PID algorithm and variable frequency speed control. In terms of hardware design, comprehensive selections are made regarding sensor models, motor models, and expansion modules. Multiple tasks are realized through a modular approach. By carefully selecting and configuring hardware equipment and writing control programs, the control logic for zone-specific regulation is validated through simulation runs. The improvement in actual operational energy savings of the intelligent air conditioning system demonstrates the theoretical effectiveness in complex environments, jointly proving the system's validity.