{"title":"基于单片机的智能家居环境监测系统设计","authors":"Fengze Zhong","doi":"10.1109/prmvia58252.2023.00019","DOIUrl":null,"url":null,"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.","PeriodicalId":221346,"journal":{"name":"2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of A Smart Home Environment Monitoring System Based on Single-chip Microcomputer\",\"authors\":\"Fengze Zhong\",\"doi\":\"10.1109/prmvia58252.2023.00019\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":221346,\"journal\":{\"name\":\"2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/prmvia58252.2023.00019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/prmvia58252.2023.00019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of A Smart Home Environment Monitoring System Based on Single-chip Microcomputer
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.