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Intelligent Sensing and Data Transmission Key Technology for Monitoring Mountain Hazards in Complex Environments
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Hui-ming WANG1, Zhi-ming LIU2, Na HE3, Xing ZHU4, 5, *
Science Technology and Engineering | 2025, 25(2) : 640 - 648
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Science Technology and Engineering | 2025, 25(2): 640-648
Papers·Electronic and Communicational Technology
Intelligent Sensing and Data Transmission Key Technology for Monitoring Mountain Hazards in Complex Environments
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Hui-ming WANG1, Zhi-ming LIU2, Na HE3, Xing ZHU4, 5, *
Affiliations
  • 1 China Renewable Energy Engineering Institute, Beijing 100120, China
  • 2 The College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China
  • 3 Guangxi Zhuang Autonomous Region Geological Environment Monitoring Station, Nanning 530022, China
  • 4 College of Computers and Cyber Security, Chengdu University of Technology, Chengdu 610059, China
  • 5 Sichuan Engineering Technology Research Center of Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Chengdu 610059, China
Published: 2025-01-18 doi: 10.12404/j.issn.1671-1815.2402229
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Aiming at the technical problems of "untimely perception, poor transmission and difficult equipment deployment" in the monitoring and early warning of mountain disasters in the complex environment of the Qinghai-Tibetan Plateau, a UAV-throwing monitoring device, LoRa networking and edge computing gateway, as well as other embedded hardware and software equipment applicable to deformation and micro-motion monitoring of high-level and high-risk mountain disasters were developed, and focused on the research of the system low-power adaptive data acquisition algorithm and RF frequency adaptive technology, were developed the self-organised network routing algorithm based on LoRa and Beidou RDSS, as well as the multimodal communication intelligent switching technology, so as to solve the problems of timeliness of data perception in complex environments and the problems of low-power consumption and environmental adaptability. The results show that the developed system had a good on-site pilot application effect, which meeting the requirements for long-term monitoring of mountain disasters in alpine mountainous areas, and the average packet loss rate of data transmission in extreme environments is 2.328 8 percent, providing new technologies and methods for disaster prevention and mitigation in the construction and operation of major projects in alpine and complex mountainous areas.

IoT transmission  /  adaptive technology  /  LoRa technology  /  Beidou RDSS protocol
Hui-ming WANG, Zhi-ming LIU, Na HE, Xing ZHU. Intelligent Sensing and Data Transmission Key Technology for Monitoring Mountain Hazards in Complex Environments[J]. Science Technology and Engineering, 2025 , 25 (2) : 640 -648 . DOI: 10.12404/j.issn.1671-1815.2402229
Year 2025 volume 25 Issue 2
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Article Info
doi: 10.12404/j.issn.1671-1815.2402229
  • Receive Date:2024-03-28
  • Online Date:2025-12-05
  • Published:2025-01-18
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  • Received:2024-03-28
  • Revised:2024-11-05
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Affiliations
    1 China Renewable Energy Engineering Institute, Beijing 100120, China
    2 The College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China
    3 Guangxi Zhuang Autonomous Region Geological Environment Monitoring Station, Nanning 530022, China
    4 College of Computers and Cyber Security, Chengdu University of Technology, Chengdu 610059, China
    5 Sichuan Engineering Technology Research Center of Industrial Internet Intelligent Monitoring and Application, Chengdu University of Technology, Chengdu 610059, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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