Intelligent Home Environment Monitoring System Based on STM32

In response to the increasing demand of residents for home environment quality, this article designs and implements an intelligent home environment monitoring system based on STM32 processor. The system uses STM32 microcontroller to control multiple sensors to collect real-time environmental parameters such as temperature, humidity, CO, and smoke. The data is uploaded to Alibaba Cloud server through ESP8266 Wi-Fi module. At the same time, a WeChat mini program is designed to obtain cloud server environmental data, monitor home environmental parameters in real time, and implement alarms. After testing, this system has achieved real-time monitoring and early warning of the home environment, with high stability and low cost, and can meet the daily needs of ordinary households very well.

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Publication Details

Journal
IFS/ACM Transactions on Machine Learning
Published
2025-05-17
DOI
https://doi.org/10.70891/jse.2025.080001
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent Home Environment Monitoring System Based on STM32

Weishuai Wang, Y Wang, Baohua Zhang
IFS/ACM Transactions on Machine Learning
Advanced Sensor and Control Systems
article

Intelligent Home Environment Monitoring System Based on STM32

Weishuai Wang, Y Wang, Baohua Zhang
article en

Abstract

In response to the increasing demand of residents for home environment quality, this article designs and implements an intelligent home environment monitoring system based on STM32 processor. The system uses STM32 microcontroller to control multiple sensors to collect real-time environmental parameters such as temperature, humidity, CO, and smoke. The data is uploaded to Alibaba Cloud server through ESP8266 Wi-Fi module. At the same time, a WeChat mini program is designed to obtain cloud server environmental data, monitor home environmental parameters in real time, and implement alarms. After testing, this system has achieved real-time monitoring and early warning of the home environment, with high stability and low cost, and can meet the daily needs of ordinary households very well.

IFS/ACM Transactions on Machine LearningVol. 2(1)
Weifang University (CN)
Openalex Percentile: Top 76%
Advanced Sensor and Control Systems
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