Abstract
High data loss rate exists in the mobile monitoring system of assembly tower crane in construction. Therefore, a mobile monitoring system of assembly tower crane based on Internet of things technology is designed. Hardware part: adopt 32-bit data bus, integrate common high-definition multimedia interface; Software part: make use of space geometry principle to construct anti-collision model of tower group, transmit terminal parameters of tower crane safety monitoring system, optimize remote communication protocol of assembly building construction by using internet of things technology, and set up function of mobile monitoring system of tower crane. The experimental results show that the average loss rate of the two systems is 27.871%, 37.807% and 37.452% respectively, which shows that the higher loss rate is improved after the combination of IOT technology.
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References
Song, X.: Design of tower crane real-time interactive safety monitoring platform based on internet of things and BIM technology. Build. Constr. 42(5), 833–835 (2020)
Tong, X., Zhang, F., Zhang, X.: Analysis on the significance of remote monitoring of construction site based on orbit determination transmission and cloud control technology. Intell. Build. City Inf. 11, 79–81 (2020)
Liang, L., Zhang, Z., Lu, L., et al.: Subsection monitoring of tower crane working process based on internet of things. Build. Constr. 44(1), 156–159 (2022)
Liu, S., Liu, D., Muhammad, K., Ding, W.: Effective template update mechanism in visual tracking with background clutter. Neurocomputing 458, 615–625 (2021)
Wang, S., Liu, X., Liu, S., et al.: Human short-long term cognitive memory mechanism for visual monitoring in IoT-assisted smart cities. IEEE Internet Things J. 9, 7128–7139 (2022). https://doi.org/10.1109/JIOT.2021.3077600
Wang, J., Hao, W., Tao, Z., et al.: Safety risk assessment of tower crane operation based on fuzzy Bayesian network. Saf. Environ. Eng. 28(4), 15–20 (2021)
Ding, E., Yu, X., Liao, Y., et al.: Key technology of mine equipment state perception and online diagnosis under internet of things. J. China Coal Soc. 45(6), 2308–2319 (2020)
Liu, S., Wang, S., Liu, X., et al.: Fuzzy detection aided real-time and robust visual tracking under complex environments. IEEE Trans. Fuzzy Syst. 29(1), 90–102 (2021)
Zhang, D., Wang, J., Ji, H., et al.: Research and application of micropower safety monitoring IoT system for mine. J. Commun. 41(2), 44–57 (2020)
Zhou, Q., Huang, S., Cheng, H.: Research on multiple access protocol of internet of things nodes based on probability detection. Comput. Simul. 37(12), 148–152 (2020)
Funding
In 2021, the “14th Five-Year Plan” of Hunan Province Educational Science “Planning for College Students’ Employment and Entrepreneurship Research Special Project “Research on the “Golden Course” Construction of the Integration of Innovation and Entrepreneurship Courses and Ideological and Political Colleges in Higher Vocational Colleges-Taking the High-speed Railway Whole Industry Chain Plan New Entrepreneurship Education as the Example example. Project approval number: XJK21BXJ020, number: XJ211082.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, D., Li, S., Zhao, H. (2023). Design of Mobile Monitoring System for Tower Crane in Assembly Construction Based on Internet of Things Technology. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-28867-8_43
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DOI: https://doi.org/10.1007/978-3-031-28867-8_43
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