Research on Automatic Patrol Inspection Technology Scheme for Safe Operation of Super Long and Long Span Highway Tunnel

Authors

  • Jing Luo
  • Shengtao Ma
  • Chengqian Zhu
  • Guohua He

DOI:

https://doi.org/10.54097/ajst.v5i2.6856

Keywords:

Ultra long and large span tunnels, High-precision monitoring, Fire detection, Traffic incident identification, Automatic patrol inspection, Safe operation.

Abstract

 Firstly, this paper conducts systematic research on tunnel fire and traffic incident detection technologies, and develops a high-precision monitoring and detection implementation plan for ultra-long and large-span tunnels; Secondly, in terms of tunnel fire detection, video thermal imaging technology is used as the main detection method, combined with dual wavelength flame detectors, to achieve fire open fire monitoring and pure smoke detection, making up for the blind spots of traditional fire detection, and improving the accuracy, timeliness, and reliability of monitoring. In terms of traffic incident detection, based on traditional traffic incident detection technology and advanced technical means, the system mainly focuses on lightning visual integration detection, combined with artificial video monitoring, to comprehensively judge the status of tunnel traffic incidents, thereby reducing the false alarm rate of incident detection. Finally, based on the technical research scheme, an intelligent automatic patrol robot was developed using the mobile automatic patrol mode. Using this as a carrier, various sensor modules and emergency equipment were built to replace manual 24-hour uninterrupted full coverage patrols, achieving automatic patrol, automatic reporting, analysis, early warning, and emergency response for ultra-long tunnels, reducing the cost of manual patrols and improving the efficiency of patrols, Enhanced emergency response capabilities of operating units.

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References

Du Zhigang, Yu Tingyu, Xiang Yiming, Xu Wanwan. Research on the optimization of light environment in highway tunnels based on traffic accident prevention [J]. Journal of Wuhan University of Technology (Traffic Science and Engineering Edition), 2018,42 (5): 715-718.

Kang Chenglong, Ai Yao. Overview of Research on Highway Traffic Incident Detection [J]. Traffic Engineering, 2019, 19 (2): 19-22.

Hu Yong. Research on Video Based Road Traffic Incident Detection Algorithms [J]. Modern Information Technology, 2019,3 (7): 61-63.

Peng Qizhang. Application of Omnidirectional Tracking Radar in Intelligent Expressway Event Detection [J]. China Transportation Information Technology, 2019, (10): 136-138.

Baipei, Li Jinping. A Video Based Traffic Accident Detection Method [J]. Journal of Jinan University (Natural Science Edition), 2012,26 (3): 282-286.

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Published

30-03-2023

Issue

Section

Articles

How to Cite

Luo, J., Ma, S., Zhu, C., & He, G. (2023). Research on Automatic Patrol Inspection Technology Scheme for Safe Operation of Super Long and Long Span Highway Tunnel. Academic Journal of Science and Technology, 5(2), 163-173. https://doi.org/10.54097/ajst.v5i2.6856