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Slope Monitoring System

Zhiyun slope monitoring scheme, through the use of intelligent sensors to collect monitoring data, the use of the Internet of things, GNSS, wireless transmission and other technologies, to achieve automatic monitoring of slope soil deformation, retaining structure stress, geological environment change, and to achieve hierarchical early warning, disaster prediction and other functions, real-time grasp of the overall operation of the slope landslide safety status, to provide a scientific basis for disaster prevention and mitigation decision-making.

示意图 拓扑图

Application product

  • Vibrating string data acquisition instrument

    Vibrating string data acquisition instrument

     
  • Array - type inclinometer

    Array - type inclinometer

     
  • Data acquisition instrument

    Data acquisition instrument

     
  • Soil moisture meter

    Soil moisture meter

     
  • Tipping bucket rain gauge

    Tipping bucket rain gauge

     
  • GNSS receiver

    GNSS receiver

     
  • Integrated water level gauge

    Integrated water level gauge

     

Product advantage

  • Multi-platform Early Warning

    Synchronize and share data across PC and mobile platforms, with abnormal data triggering early warnings on multiple platforms, prompting timely response measures to prevent damage to personal and property safety.
     

  • Highly Intelligent

    Comprehensively utilizing high-tech such as AI algorithms and IoT big data, intelligently analyze the risk trends of slope projects, providing an accurate and effective basis for data-driven decision-making.
     

  • Real-time Data Upload

    Collect data in real-time, ensure stable transmission, and instantly analyze and upload to the management cloud platform, allowing you to grasp the safety status of slope projects anytime, anywhere.
     

  • Fully Automated Monitoring

    Fully automated monitoring reduces the impact of external factors such as manpower, environment, and weather, ensuring the continuity, timeliness, authenticity, and accuracy of monitoring data.
     

Application scenario