2406 929

Title

Geological Landslide Disaster Monitoring Based on Wireless Network Technology

  Xiaohui Yuan 1 * ,   Reem Atassi 2

1  Department of Computer Science and Engineering, University of North Texas, USA
    (xiaohui.yuan@unt.edu)

2  College of Computer Information Technology, American University in the Emirates, Dubai, UAE
    (reem.atassi@aue.ae)


Doi   :   https://doi.org/10.54216/IJWAC.020102

Received: January 12, 2021 Accepted: May 30, 2021

Abstract :

With the comprehensive influence of natural evolution and human activities, the damage degree of geological disasters is increasing. How to effectively early warning geological disasters has become a problem of concern. How to effectively provide early warning of geological disasters has become a concern of people. This research mainly discusses the geological landslide disaster monitoring based on wireless network technology. First, establish two important early warning indicators of rainfall and geological landslide displacement. The monitoring system is powered by a rechargeable 12V lithium battery, combined with solar panels, which can be charged when the sun is full to ensure the stable operation of the system. The AT45DB161B chip with 16M bytes storage capacity is selected to store data such as geological landslide displacement and rainfall. Use Microsoft SQL Server 2008 database management system to complete database content query, addition, modification, and deletion operations. The TLP521-2 photocoupler is used to isolate the GPIO interface of STM32 from the external unit to improve the anti-interference ability. The communication between the field data collector and the monitoring center data server adopts the GPRS packet data transmission method based on the TCP/IP protocol. Currently, the PDU in the network is an IP data packet. The realization of the TCP/IP protocol at the field data collector is all completed in the master single-chip microcomputer. Use SIEMENSMC35GSM/GPRS module as data transmission terminal. The monitoring results show that the absolute error of the test data does not exceed 6mm in the horizontal distance, the vertical height difference does not exceed 9mm. The results show that the monitoring of geological landslide based on wireless network technology improves the accuracy of distance estimation and reduces the positioning error, which can provide scientific guidance for the planning, monitoring and early warning of landslide area.

Keywords :

Wireless Network Technology , Geological Landslide , Disaster Monitoring , Disaster Warning

References :

[1]Sun G , Hu J , Tao Z , et al. Study on Slope Disaster Monitoring and Early Warning in Complicated Condition[J]. Journal of Shenyang Jianzhu University(Natural ence), 2017, 33(1):60-67.

[2]Wang, M. Cao, H. Wang. Geological safety monitoring technology for mountainous substations based on TEM[J]. Chinese Journal of Radio ence, 2017, 32(3):344-348.

[3]Li Z , Leng X , Liang J . Design of geological disaster monitoring and warning platform based on SOA[J]. Journal of Chengdu University of Technology(ence & Technology Edition), 2018, 45(5):606-614.

[4]Guodong Z , Taixi T , Zhihua X , et al. Analysis for deformation monitoring of Tanjiahe landslide in the Three Gorges Reservoir area[J]. Journal of Natural Disasters, 2017, 26(3):185-192.

[5]Wang Y P . Experimental study on landslide early warning model based on inverse-velocity[J]. International Journal of Earth ences and Engineering, 2016, 9(6):2701-2709.

[6]Zhang S , Wang Y , Chang T . Assessment of Geological Hazards in Ningde Based on Hybrid Intelligent Algorithm[J]. Sensors & Materials, 2018, 30(3):565-575.

[7]Zhang C , Chen Z , Wei M , et al. 3D monitoring of landslide geological disaster and its application based on BIM[J]. Journal of Chengdu University of Technology (ence and Technology Edition), 2017, 44(3):377-384.

[8]Z.Tao, H. Zhang, Y. Peng. Frame structure and engineering applications of multi-source system cloud service platform for landslide monitoring[J]. chinese journal of rock mechanics & engineering, 2017, 36(7):1649-1658.

[9]Rawat D B . Fusion of Software Defined Networking, Edge Computing, and Blockchain Technology for Wireless Network Virtualization[J]. IEEE Communications Magazine, 2019, 57(10):50-55.

[10]Azeem S A , Sharma S D K . Convergence In Future Wireless Network Technology[J]. Oriental Journal of Computer ence and Technology, 2017, 10(1):41-46.

[11]Petitgrand F . Choosing an LPWAN technology for a wireless loT network[J]. Electronic products, 2017, 59(8):22-23.

[12]Chen T , Kuo C F , Chen J C Y . Computer vision monitoring and detection for landslides[J]. Structural Monitoring and Maintenance, 2019, 6(2):161-171.

[13]Zhang Y , Meng X , Chen G , et al. Detection of geohazards in the Bailong River Basin using synthetic aperture radar interferometry[J]. Landslides, 2016, 13(5):1-12.

[14]Shrestha B B , Nakagawa H . Hazard assessment of the formation and failure of the Sunkoshi landslide dam in Nepal[J]. Natural Hazards, 2016, 82(3):2029-2049.

[15]Yan G , Yin Y , Huang B , et al. Formation mechanism and characteristics of the Jinjiling landslide in Wushan in the Three Gorges Reservoir region, China[J]. Landslides, 2019, 16(11):2087-2101.

[16]Shao L . Geological disaster prevention and control and resource protection in mineral resource exploitation region[J]. International journal of low carbon technologies, 2019, 14(2):142-146.

[17]Ma T , Zhang X , Yang Z , et al. Plateau Mountain Eco-Security Early Warning Research[J]. Polish Journal of Environmental Studies, 2016, 25(3):1093-1105.

[18]Huang Q , Wang C , Meng Y , et al. Landslide Monitoring Using Change Detection in Multitemporal Optical Imagery[J]. IEEE Geoence and Remote Sensing Letters, 2020, 17(2):312-316.

[19]Liu Bo, Zhang Peng, Zhang Jianwei. Analysis on Slope Stability of Open Pit Coal Mine Based on Grey Support Vector Machine[J]. International Journal of Smart Home, 2016, 10(9):169-178.

[20]Velmurugan J , Venkatesan M . Soft Bayesian Model for Landslide Risk Analysis[J]. International journal of soft computing, 2018, 13(2):31-37.

[21]Sun Y , Ng D W K , Zhu J , et al. Multi-Objective Optimization for Robust Power Efficient and Secure Full-Duplex Wireless Communication Systems[J]. IEEE Transactions on Wireless Communications, 2016, 15(8):5511-5526.

[22]Alotaibi N N , Hamdi K A . Switched Phased-Array Transmission Architecture for Secure Millimeter-Wave Wireless Communication[J]. IEEE Transactions on Communications, 2016, 64(3):1303-1312.

[23]Gan Q , Yu S , Li C , et al. Design and ARM-embedded implementation of a chaotic map-based multicast scheme for multiuser speech wireless communication[J]. International Journal of Circuit Theory & Applications, 2016, 45(11):1849-1872.

[24]Ghazal A , Yuan Y , Wang C X , et al. A Non-Stationary IMT-Advanced MIMO Channel Model for High-Mobility Wireless Communication Systems[J]. IEEE transactions on wireless communications, 2017, 16(4):2057-2068.

[25]Zhang D , Maximilian Matthé, Mendes L L , et al. A Study on the Link Level Performance of Advanced Multicarrier Waveforms Under MIMO Wireless Communication Channels[J]. IEEE Transactions on Wireless Communications, 2017, 16(4):2350-2365.

[26]Hamza A S , Deogun J S , Alexander D R . Wireless Communication in Data Centers: A Survey[J]. IEEE Communications Surveys & Tutorials, 2016, 18(3):1572-1595.

[27]Bithas P S , Rontogiannis A A , Karagiannidis G K . An Improved Threshold-Based Channel Selection Scheme for Wireless Communication Systems[J]. IEEE Transactions on Wireless Communications, 2016, 15(2):1531-1546.

 

 


Cite this Article as :
Style #
MLA Xiaohui Yuan, Reem Atassi. "Geological Landslide Disaster Monitoring Based on Wireless Network Technology." International Journal of Wireless and Ad Hoc Communication, Vol. 2, No. 1, 2021 ,PP. 21-32 (Doi   :  https://doi.org/10.54216/IJWAC.020102)
APA Xiaohui Yuan, Reem Atassi. (2021). Geological Landslide Disaster Monitoring Based on Wireless Network Technology. Journal of International Journal of Wireless and Ad Hoc Communication, 2 ( 1 ), 21-32 (Doi   :  https://doi.org/10.54216/IJWAC.020102)
Chicago Xiaohui Yuan, Reem Atassi. "Geological Landslide Disaster Monitoring Based on Wireless Network Technology." Journal of International Journal of Wireless and Ad Hoc Communication, 2 no. 1 (2021): 21-32 (Doi   :  https://doi.org/10.54216/IJWAC.020102)
Harvard Xiaohui Yuan, Reem Atassi. (2021). Geological Landslide Disaster Monitoring Based on Wireless Network Technology. Journal of International Journal of Wireless and Ad Hoc Communication, 2 ( 1 ), 21-32 (Doi   :  https://doi.org/10.54216/IJWAC.020102)
Vancouver Xiaohui Yuan, Reem Atassi. Geological Landslide Disaster Monitoring Based on Wireless Network Technology. Journal of International Journal of Wireless and Ad Hoc Communication, (2021); 2 ( 1 ): 21-32 (Doi   :  https://doi.org/10.54216/IJWAC.020102)
IEEE Xiaohui Yuan, Reem Atassi, Geological Landslide Disaster Monitoring Based on Wireless Network Technology, Journal of International Journal of Wireless and Ad Hoc Communication, Vol. 2 , No. 1 , (2021) : 21-32 (Doi   :  https://doi.org/10.54216/IJWAC.020102)