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People as Sensors: Towards a Human–Machine Cooperation Approach in Monitoring Landslides in the Three Gorges Reservoir Region, China

  • Zhenhua LiEmail author
  • Guoxuan Cheng
  • Wenming Cheng
  • Hongbo Mei
Chapter
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

Landslides are serious geologic hazards which have occurred in most countries and can cause significant loss of life and damage to property. The loss and damage may be avoided to some extent by monitoring and early warning systems for landslides. Currently, the most popular method to detect landslides is the wireless sensor network. In this paper, a human–machine cooperation system is proposed, which not only employs 500 sensor sets to collect data in the conventional way but also mobilizes over 6000 people to inspect landslides and gather data by simple tools daily, to take advantage of human wisdom and mobility to remedy the weakness of fixed sensors, which could not move, observe, think, and make decisions. For its 12 years of application in the Three Gorges Reservoir Region, China, the system has successfully predicted most threats which take place nearly 100 times each year.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Zhenhua Li
    • 1
    Email author
  • Guoxuan Cheng
    • 1
  • Wenming Cheng
    • 2
  • Hongbo Mei
    • 1
  1. 1.China University of GeosciencesWuhanChina
  2. 2.The Headquarters of Prevention and Control for Geo-Hazard in the Three Gorges Reservoir AreaYichangChina

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