The Real-Time Monitoring and Control of Intelligent Sensor Networks in Electrical Automation

In order to understand the real-time monitoring and control of intelligent sensor networks in electrical automation, a research based on intelligent sensor networks for real-time monitoring and control in electrical automation has been proposed. This paper first utilizes the intelligent sensor nodes of the intelligent sensor network in the system data layer to collect signal data of building electrical equipment, enabling the central node to gather and integrate the collected data. Secondly, the Zigbee intelligent network at the communication layer is used to aggregate the data integrated by the central node into an internal gateway, which uploads the data to the application foundation platform at the application layer. Finally, the experimental results indicate that setting the number of cluster heads in the intelligent sensing network to 25 can achieve an ideal network node lifespan; This system can accurately diagnose the type of fault, identify the location of the fault, and effectively save energy consumption of building electrical equipment.

Authors

Institutions

Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/icceic64099.2024.10775877
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Real-Time Monitoring and Control of Intelligent Sensor Networks in Electrical Automation

Xiuzhen Zhou
1 citations
Fault Detection and Control Systems
0.33
article

The Real-Time Monitoring and Control of Intelligent Sensor Networks in Electrical Automation

Xiuzhen Zhou
article en
1 citations

Abstract

In order to understand the real-time monitoring and control of intelligent sensor networks in electrical automation, a research based on intelligent sensor networks for real-time monitoring and control in electrical automation has been proposed. This paper first utilizes the intelligent sensor nodes of the intelligent sensor network in the system data layer to collect signal data of building electrical equipment, enabling the central node to gather and integrate the collected data. Secondly, the Zigbee intelligent network at the communication layer is used to aggregate the data integrated by the central node into an internal gateway, which uploads the data to the application foundation platform at the application layer. Finally, the experimental results indicate that setting the number of cluster heads in the intelligent sensing network to 25 can achieve an ideal network node lifespan; This system can accurately diagnose the type of fault, identify the location of the fault, and effectively save energy consumption of building electrical equipment.

Wuhan Polytechnic University (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Fault Detection and Control Systems
0.33
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.