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SPEPC TECHNOLOGY
Solution
Debris Flow Disaster Monitoring and Early Warning Solution
Background Introduction
A debris flow is a specialized type of flood that occurs in gullies or on slopes, triggered by heavy rainfall, glacial meltwater, or other water sources, and carries large quantities of solid materials such as mud, sand, rocks, and boulders.
Debris flows are characterized by their sudden onset, high flow velocity, large discharge, substantial sediment load, and powerful destructive force. They frequently obliterate transportation infrastructure such as roads, railways, and bridges, and may even devastate villages and towns, resulting in significant casualties and economic losses.
In China’s southwestern mountainous regions and southeastern Tibet, debris-flow disasters occur frequently, and conventional monitoring methods struggle to provide real-time, integrated early warnings that link dynamic parameters with rainfall conditions.
Therefore, the development of an automated debris‑flow monitoring and early‑warning system that integrates multiple parameters—rainfall, water‑level, video imagery, and geological hazard data—has become an urgent priority for disaster prevention and mitigation, enabling all‑weather sensing of debris‑flow initiation, dynamic characteristics, and watershed conditions, as well as intelligent early warning.
Solution Overview
This solution is a system that integrates Rainfall monitoring, mud level monitoring, video surveillance and Multi-source data fusion analysis An integrated intelligent monitoring and early-warning system for debris-flow disasters.
The system deploys intelligent sensors—including tipping-bucket rain gauges, mud‑water level monitors (radar‑ or cable‑type), video surveillance cameras, and integrated tilt‑and‑collapse monitoring devices (to assess slope stability)—within debris‑flow channels and catchment areas, enabling real-time acquisition of rainfall intensity, mud‑water levels (both flow depth and water level), channel‑bank deformation, and on‑site imagery.
Data is transmitted to the cloud-based early-warning platform via communication methods such as 4G, LoRa, and BeiDou. The platform integrates a rainfall threshold model for debris-flow initiation, an algorithm for analyzing mud‑water level trends, and a video‑AI recognition engine.
When the rainfall intensity exceeds the threshold or the mud level rises abruptly, the system… Automatically trigger multi-level alerts. Warning information is disseminated via SMS, platform pop-up alerts, on-site audio‑visual alarms, and wireless early‑warning broadcasts, providing a scientific basis for decision-making to facilitate the evacuation of residents in downstream hazard zones, implement traffic control, and support emergency response and rescue operations.
FEATURES OF THE SOLUTION
High-precision mud level monitoring
Multi-factor Collaborative Monitoring
Intelligent Rainfall Threshold Alert
Intelligent Target Recognition and Tracking
Multi-level coordinated early warning
Low Power Consumption and Redundant Communication
Application Scenario Configuration
From the uppermost stress‑bearing point of the high slope downward, a comprehensive monitoring system is implemented across the slope’s upper, middle, and lower structural layers, with point‑based core measurements that expand to surface‑wide coverage, thereby enabling all‑round, dynamic micro‑deformation monitoring of the entire slope mass.
Display of the Slope-Excavation Housing Safety Monitoring and Early-Warning Platform
The system deploys automated terminal monitoring devices to acquire real-time data on target objects. An backend data management platform performs intelligent analysis and hazard prediction, automatically issuing early warning and forecast information to relevant personnel. This enables 24-hour, dynamic, all‑round monitoring, allowing users to track, at any time and from any location, deformation, displacement, rockfalls, and changes in environmental factors of railway slopes, as well as the structural safety status. The system thus provides a scientific basis for natural slope hazard prevention, reinforcement engineering design, and the timely elimination of safety risks.
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Contact Information
6th Floor, Building 10, Entrepreneurship Industrial Park, Chaoyang Township, Qixing District, Guilin City, Guangxi Zhuang Autonomous Region
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