Intelligent office environment measurement and control system

In response to problems of complex equipment management, energy waste, and difficult air quality control in traditional office environments, this paper designs and implements an intelligent office environment measurement and control system based on Internet of Things technology. The system adopts a six-layer architecture including perception layer, execution layer, transport layer, network layer, service layer, and application layer, combined with ZigBee wireless communication technology, to achieve real-time perception of environmental parameters and intelligent control of devices. The system adopts a fuzzy control algorithm designed based on Simulink, constructing temperature-humidity and air quality fuzzy control systems respectively, effectively handling nonlinear control problems with multi-parameter coupling. The hardware is based on STM32F407 microcontroller with multiple sensor nodes. The software includes FreeRTOS-based gateway software, Spring Boot microservice cloud architecture for data processing and storage, a Vue.js web management platform, and an Android application with MVVM architecture. Test results show the system can accurately collect environmental data in real-time, and the fuzzy controller intelligently adjusts device operation mode and intensity according to environmental status. This system improves office comfort and health protection levels, providing technical support for optimizing energy efficiency.