Abstract
To enhance the intelligence level of monitoring risk sources in the process of subway construction, this system deploys a variety of sensors in the target area using wireless sensor network technology. Relevant data from the target area is collected through these sensors, which serve as data reference for monitoring risks during the subway construction. The collected data is transmitted to the management terminal in real-time through wireless network and is analyzed and processed for decision-making assistance. This remote monitoring system enables administrators to keep track of the construction project at all times and provide timely feedback to adjust ongoing efforts. Ultimately, the analysis and processing of the collected data provide powerful support and assistance for decision-making. In summary, this subway construction monitoring system has a high intelligence level, which greatly improves the safety and efficiency of subway construction and allows administrators to be always informed of the target area's conditions for timely decision-making and adjustments, guaranteeing the smooth progress of subway construction.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhang X, Liu J, Chen J (2021) A review of wireless sensor network-based intelligent monitoring systems for subway tunnels. Sensors 21(8):2839
Wang J, Gao Z, Li J, Ding X (2019) Real-time wireless sensor network monitoring system for railway tunnel deformation. Sensors 19(16):3595
Zeng S, Xie J, Lei Y (2020) Application of wireless sensor network in early-warning system of tunnel fire. In: 2020 international conference on artificial intelligence, information processing and cloud computing (AIIPCC). IEEE, pp 159–163
Jiang Y, Li J (2018) Subway tunnel structural health monitoring based on wireless sensor networks. Adv Struct Eng 21(5):732–744
Yang L, Lai S, Chen W (2021) A novel method for subway tunnel structural health monitoring based on fiber optic sensing technology. In: Proceedings of the 2021 international conference on artificial intelligence and smart systems, pp 212–217
Wu H, Guo D, Zhang X, Huang Y (2019) A wireless sensor network-based structure monitoring system for urban subway tunnels. IET Wireless Sens Syst 9(6):298–305
Zhang X, Liu J, Chen J, Wang T (2018) Fault diagnosis and early warning system for subway mechanical equipment based on wireless sensor networks. J Phys: Conf Ser 1063:032037
Cui X, Li Z, Shi L (2019) Performance evaluation of wireless sensor networks for rail track deflection monitoring. J Ambient Intell Humaniz Comput 10(5):1961–1970
Wu H, Guo D, Chang X, Song J (2019) A remote monitoring system for subway structures using wireless sensor networks. J Sens
Liu M, Wen C, Bai J, Lu H (2020) Structural health monitoring of subway based on wireless sensor network and machine learning. IEEE Sens J 20(24):15076–15085
Zhang C, Liu J, Xie L et al (2021) Age-optimal data gathering and energy recharging of UAV in wireless sensor networks. In: The international society for applied computing.proceedings of 2021 3rd international conference on advanced information science and system (AISS 2021). ACM, vol 6. https://doi.org/10.26914/c.cnkihy.2021.052260
Chueh YL, Hsiao YT, Hsieh SH (2019) An early-warning system for tunnel fire hazard based on a heterogeneous wireless sensor network. IEEE Sens J 19(23):10962–10973
Su L (2017) Research on a dynamic sampling scheme of wireless sensor node. Information Engineering Research Institute, USA, Singapore Management and Sports Science Institute, Singapore. In: Proceedings of 2017 7th ICEA international conference on information science, library science and social sciences (ILS 2017). Information Engineering Research Institute Press, vol 6
Liu Y, Zhou H (2013) Optimize on data correlation of sensor nodes with adaptive fault-tolerant algorithm. Information Engineering Research Institute, USA. In: Proceedings of 2013 2nd AASRI conference on computational intelligence and bioinformatics (CIB 2013 V6). Elsevier, vol 7
Chen H, Zhang Y, Li W (2019) Monitoring of subway tunnel settlement using an inclinometer. Geotech Test J 42(1):20180040
Mourlas NJ, Gilchrist KH, Giovangrandi L, Maluf NI, Kovacs GTA (2002) An in-line osmometer for application to a cell-based biosensor system. Sens Actuators: B Chem
Acknowledgements
This study was funded by the Shanxi Provincial Key Research and Development Project (Project Number 202101020101020), the Shanxi Provincial Basic Research Program (Project Number 20210302124622), and the Shanxi Provincial Enterprise Technology Center Construction Project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhao, L., Wang, Q., Fu, M., Gao, J., Wei, H. (2024). Remote Monitoring and Early Warning System of Subway Construction Based on Wireless Sensor Network Technology. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1032. Springer, Singapore. https://doi.org/10.1007/978-981-99-7505-1_34
Download citation
DOI: https://doi.org/10.1007/978-981-99-7505-1_34
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-7539-6
Online ISBN: 978-981-99-7505-1
eBook Packages: EngineeringEngineering (R0)