Research on intelligent control and emergency response system for power cable tunnels based on AI image recognition and ultra-wideband technology

This article studies and develops an intelligent control emergency response system for power cable tunnels based on image recognition and ultra-wideband technology. The system aims to improve the safety monitoring and emergency response capabilities of cable tunnels by integrating real-time data transmission, multi-sensor data fusion, UWB (ultra-wideband) precise positioning, and AI (Artificial Intelligence) image recognition technology. The system has the ability to monitor data transmission and processing in real time and can quickly respond to emergency situations so as to effectively control sudden, hidden, and temporary security risks. In addition, the application of UWB technology provides precise positioning capability, which is crucial for ensuring personnel positioning in emergency response. AI image recognition technology can analyze surveillance video content, detect and handle potential construction hazards in a timely manner, and effectively prevent accidents from occurring. The application of this technology not only improves the efficiency of safety supervision but also enhances the safety guarantee ability of on-site operators.

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Publication Details

Journal
AIP Advances
Published
2024-10-01
DOI
https://doi.org/10.1063/5.0239306
Citations
4
Primary Topic
Power Line Inspection Robots
Type
article
Field-Weighted Citation Impact
0.85
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article

Research on intelligent control and emergency response system for power cable tunnels based on AI image recognition and ultra-wideband technology

Jiong Zhao, Jun Zhao, Gang Wang, Kai Wang et al.
4 citations
AIP Advances
Power Line Inspection Robots
0.85
article

Research on intelligent control and emergency response system for power cable tunnels based on AI image recognition and ultra-wideband technology

Jiong Zhao, Jun Zhao, Gang Wang, Kai Wang, Jian Liang
article en
4 citations

Abstract

This article studies and develops an intelligent control emergency response system for power cable tunnels based on image recognition and ultra-wideband technology. The system aims to improve the safety monitoring and emergency response capabilities of cable tunnels by integrating real-time data transmission, multi-sensor data fusion, UWB (ultra-wideband) precise positioning, and AI (Artificial Intelligence) image recognition technology. The system has the ability to monitor data transmission and processing in real time and can quickly respond to emergency situations so as to effectively control sudden, hidden, and temporary security risks. In addition, the application of UWB technology provides precise positioning capability, which is crucial for ensuring personnel positioning in emergency response. AI image recognition technology can analyze surveillance video content, detect and handle potential construction hazards in a timely manner, and effectively prevent accidents from occurring. The application of this technology not only improves the efficiency of safety supervision but also enhances the safety guarantee ability of on-site operators.

AIP AdvancesVol. 14(10)
Taiyuan Heavy Industry (China) (CN)
Openalex Percentile: Top 30%
Power Line Inspection Robots
0.85
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Research on intelligent control and emergency response system for power cable tunnels based on AI image recognition and ultra-wideband technology — Jiong Zhao, Jun Zhao, et al. · AIP Advances (2024) | TGRS Research Map | TGRS