Multi-Device Data Fusion IoT Monitoring System for Home Safety

With the development of technology and the increasing demand for quality of life, home security has become one of the evaluation standards for modern quality of life. This paper proposes a smart home Internet of Things (IoT) monitoring system aimed at enhancing home security. Through real-time detection and automatic response capabilities for fires, gas leaks, and water and electricity usage, the system provides comprehensive security protection for families. The system integrates various sensors and smart home appliances, achieving real-time monitoring and prevention of potential security risks through multi-device data fusion. The system design employs data fusion algorithms capable of timely identification of potential hazards and coordination of device responses, thereby effectively preventing the occurrence of safety incidents.

Authors

Institutions

Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/iceaai64185.2025.10956921
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Device Data Fusion IoT Monitoring System for Home Safety

Li Na Zhang, H. Chen, Jing Ye, Jun Tang et al.
Technology and Data Analysis
article

Multi-Device Data Fusion IoT Monitoring System for Home Safety

Li Na Zhang, H. Chen, Jing Ye, Jun Tang, Kaitong Peng
article en

Abstract

With the development of technology and the increasing demand for quality of life, home security has become one of the evaluation standards for modern quality of life. This paper proposes a smart home Internet of Things (IoT) monitoring system aimed at enhancing home security. Through real-time detection and automatic response capabilities for fires, gas leaks, and water and electricity usage, the system provides comprehensive security protection for families. The system integrates various sensors and smart home appliances, achieving real-time monitoring and prevention of potential security risks through multi-device data fusion. The system design employs data fusion algorithms capable of timely identification of potential hazards and coordination of device responses, thereby effectively preventing the occurrence of safety incidents.

Anhui Xinhua University (CN), Guangzhou Xinhua University
Anhui Provincial University Teaching Quality and Teaching Reform Project
Openalex Percentile: Top 91%
Technology and Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.