The application of intelligent optical sensor networks in industrial automation

With the advancement of industrial automation, Wireless Sensor Networks (WSNs), particularly those incorporating optical sensing technologies, have shown great potential in areas such as industrial process monitoring and equipment condition management due to their flexible deployment, real-time environmental sensing capabilities, and reliable automation control advantages. This paper comprehensively evaluates the role of wireless sensor networks, with emphasis on optical sensing nodes, in the field of industrial automation through literature review, demand analysis, and analysis of typical application cases. The research shows that compared to traditional wired systems, wireless sensor networks integrated with optical sensing elements enable more flexible layouts and provide real-time, accurate, and reliable environmental monitoring and process control, including precise optical measurements for quality inspection and process optimization, thereby improving production efficiency, safety, and resource utilization efficiency. However, this technology also faces technical challenges such as network reliability, optical signal interference, and system security that need to be overcome. Overall, wireless sensor networks with optical sensing capabilities are driving industrial automation systems towards flexibility, intelligence, and sustainability, despite some technical challenges that remain to be addressed. This study provides practical theoretical support and solution strategy references for the application of wireless sensor network technology with optical sensing in industrial automation.

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Publication Details

Published
2025-04-28
DOI
https://doi.org/10.1117/12.3067322
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.73
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article

The application of intelligent optical sensor networks in industrial automation

Qingping Yang, Zhen Tian, Тао Чен, Rui Li
1 citations
Advanced Measurement and Detection Methods
0.73
article

The application of intelligent optical sensor networks in industrial automation

Qingping Yang, Zhen Tian, Тао Чен, Rui Li
article en
1 citations

Abstract

With the advancement of industrial automation, Wireless Sensor Networks (WSNs), particularly those incorporating optical sensing technologies, have shown great potential in areas such as industrial process monitoring and equipment condition management due to their flexible deployment, real-time environmental sensing capabilities, and reliable automation control advantages. This paper comprehensively evaluates the role of wireless sensor networks, with emphasis on optical sensing nodes, in the field of industrial automation through literature review, demand analysis, and analysis of typical application cases. The research shows that compared to traditional wired systems, wireless sensor networks integrated with optical sensing elements enable more flexible layouts and provide real-time, accurate, and reliable environmental monitoring and process control, including precise optical measurements for quality inspection and process optimization, thereby improving production efficiency, safety, and resource utilization efficiency. However, this technology also faces technical challenges such as network reliability, optical signal interference, and system security that need to be overcome. Overall, wireless sensor networks with optical sensing capabilities are driving industrial automation systems towards flexibility, intelligence, and sustainability, despite some technical challenges that remain to be addressed. This study provides practical theoretical support and solution strategy references for the application of wireless sensor network technology with optical sensing in industrial automation.

Chongqing University of Posts and Telecommunications (CN), University of Glasgow (GB), Fuzhou University (CN)
Affordable and clean energy
Openalex Percentile: Top 29%
Advanced Measurement and Detection Methods
0.73
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The application of intelligent optical sensor networks in industrial automation — Qingping Yang, Zhen Tian, et al. · (2025) | TGRS Research Map | TGRS