Design of A Smart Home Environment Monitoring System Based on Single-chip Microcomputer

2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA) Pub Date : 2023-03-01 DOI:10.1109/prmvia58252.2023.00019

Fengze Zhong

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Abstract

The family living environment today has problems in safety and convenience, and the existing smart home system generally cannot guarantee high security, low energy consumption and accurate detection. A smart home safety environment detection system based on the AT89C51 microcontroller is proposed to solve it. The design uses a ZPH01 PM2.5 detector, MQ7 carbon monoxide (CO) sensor, DHT11 temperature and humidity sensor, and MQ2 smoke sensor. It can achieve the detection, display and alert of indoor temperature, humidity, carbon monoxide concentration, PM2.5 concentration and smoke concentration. At the same time, the HC-SR501 human body sensor module is used to detect the movement of the indoor area in real-time and send alerts. Also, the Principal Component Analysis (PCA) face recognition method is used to realize the recognition of humans at access control. The simulation results show that the designed system can detect the quality of the home environment in real-time and identify the personnel, significantly improving the home environment’s safety factor and quality of life.

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基于单片机的智能家居环境监测系统设计

当今的家庭生活环境在安全性和便利性方面存在问题，现有的智能家居系统普遍无法保证高安全性、低能耗和准确检测。为此，提出了一种基于AT89C51单片机的智能家居安全环境检测系统。本设计采用ZPH01 PM2.5传感器、MQ7一氧化碳传感器、DHT11温湿度传感器、MQ2烟雾传感器。可实现室内温度、湿度、一氧化碳浓度、PM2.5浓度、烟雾浓度的检测、显示和报警。同时，采用HC-SR501人体传感器模块实时检测室内区域的运动情况并发出报警。在此基础上，利用主成分分析人脸识别方法实现了门禁人员的识别。仿真结果表明，所设计的系统能够实时检测家庭环境质量并识别人员，显著提高了家庭环境的安全系数和生活质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)

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