STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on Safety Monitoring System for Dangerous Goods Transport Vehicles Based on Wireless Sensor Networks
DOI: https://doi.org/10.62517/jike.202404102
Author(s)
Yuanxia Zhang, Jun Long*, Bing Xu
Affiliation(s)
School of Computer Science and Engineering, Yulin Normal University, Yulin, Guangxi, China *Corresponding Author.
Abstract
In line with the safety management requirements for vehicles transporting dangerous goods, a variety of sensors targeting vehicle posture, acceleration, temperature, and more were selectively utilized to construct a wireless sensor monitoring network through sensor detection, Beidou satellite positioning, and remote communication technologies. This network processes and integrates signals from multiple sensors to perform real-time detection of the status of vehicles transporting dangerous goods on their journey. Detected hazardous states are transmitted to the control center and trigger alarms. This monitoring system not only prevents accidents from occurring but also facilitates timely and effective rescue operations in the event of an accident, thereby reducing losses.
Keywords
Wireless Sensor Networks; Dangerous Goods Transportation; Safety Monitoring; Routing Algorithms
References
[1]Li Yang, Wang Hao, Bai Ke, et al. Dynamic intelligent risk assessment of hazardous chemical warehouse fire based on electrostatic discharge method and improved support vector machine. Process Safety and Environmental Protect ion, 2021, 145: 425-434. [2]Qian Lyu, Gui Fu, Yuxin Wang, et, al. Cause analysis framework from a safety capability perspective: Application to Tianjiayi hazardous chemical explosion accident. Process Safety Progress, 2023, 42 (3):567-577 [3]Yang Li, Hao Wang, Ke Bai, et, al. Dynamic intelligent risk assessment of hazardous chemical warehouse fire based on electrostatic discharge method and improved support vector machine. Process Safety and Environmental Protection, 2021, 145: 425-434. [4]Li Yang, Ping Hua, Ma Zhi-Hong, Pan Li-Gang. Statistical analysis of sudden chemical leakage accidents reported in China between 2006 and 2011. Environmental science and pollution research international, 2014, 21 (8): 5547-5553. [5]Weihua Zhang, Wuyi Cheng, Wenmei Gai. Hazardous Chemicals Road Transportation Accidents and the Corresponding Evacuation Events from 2012 to 2020 in China: A Review. Int J Environ Res Public Health, 2022, 19 (22): 15182. [6]F. Deng, W. Gu, W. Zeng, et, al. Hazardous Chemical Accident Prevention Based on K-Means Clustering Analysis of Incident Information. IEEE Access, 2020, 8: 180171-180183. [7]B. Wang, C. Wu, G. Reniers, et, al. The future of hazardous chemical safety in China: Opportunities problems challenges and tasks. Science of The Total Environmentvol. 2018, 643: 1-11. [8]Nursabrina, A. Risk Management in Hazardous and Toxic Waste Management Companies using the HIRA (Hazard Identification and Risk Assessment) Method at PT. XY Batam City. International Journal of Health, Education & Social (IJHES), 2021, 4 (12): 1-12. [9]X. Shen and S. Wei. Application of XGBoost for Hazardous Material Road Transport Accident Severity Analysis. IEEE Access, 2020, (8): 206806-206819. [10]K. Kant, A. Jolfaei and K. Moessner. IoT Systems for Extreme Environments. IEEE Internet of Things Journal, 2024, 3 (11): 3671-3675. [11]Zhanpeng Zhang, Jinsong Zhao. A deep belief network based fault diagnosis model for complex chemical processes. Computers and Chemical Engineering, 2017, 107: 395-407. [12]Planas E, Pastor E, Presutto F, et al. Results of MITRA project: Monitoring and intervention for transportation of dangerous goods. Journal of Hazardous Materials, 2008, 152 (2): 516-526. [13]Sugiura S. Secrecy Performance of Eigendecomposition-Based FTN Signaling and NOFDM in Quasi-Static Fading Channel. IEEE Transactions on Wireless Communications, 2021, 20 (9): 5872-5882. [14]V. Agarwal, S. Tapaswi and P. Chanak. Intelligent Fault-Tolerance Data Routing Scheme for IoT-Enabled WSNs. IEEE Internet of Things Journal, 2022, 17 (9): 16332-16342. [15]X. Chen, J. An, Z. Xiong, et al. Covert Communications: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 2023, 2 (25): 1173-1198. [16]I. Behnke, H. Austad. Real-Time Performance of Industrial IoT Communication Technologies: A Review. IEEE Internet of Things Journal, 2024, 5 (11): 7399-7410.
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