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SPEPC TECHNOLOGY
Solution
Slope-Excavation-Based Housing Landslide Disaster Monitoring and Early Warning Solution
Background Introduction
In China’s hilly and mountainous regions, constrained by topographic conditions, the practice of building on cut slopes is widespread. To secure land for construction, villagers often excavate the base of natural slopes, creating steep, man-made embankments.
Under the combined influence of rainfall infiltration, soil self-weight, and anthropogenic disturbances, these slopes are highly susceptible to landslides, rockfalls, and other geological hazards, posing an immediate threat to the safety of buildings and residents downstream.
In recent years, landslides triggered by slope‑cutting for residential construction have occurred one after another in Huaihua and Pingjiang in Hunan Province, as well as in Meizhou in Guangdong Province, resulting in property damage and even casualties. Conventional manual inspection methods struggle to provide continuous, high‑precision deformation monitoring, leading to delayed early warning and response.
Accordingly, the development of an automated, non-contact, high-precision landslide monitoring and early-warning system tailored to slope‑side housing scenarios—capable of real-time detection of rear‑slope displacement and proactive alerting—has become a critical measure for enhancing grassroots capabilities in geological hazard prevention and control and for safeguarding public safety.
Solution Overview
This solution is an intelligent, online monitoring and early-warning system for slope-cutting–based housing construction landslide hazards, built on machine vision and AI algorithms.
The system’s core employs a visual‑intelligence deformation monitoring instrument. By mounting the instrument at a stable location on the building—either on the roof or on the ground—and deploying multiple passive infrared targets in a diamond‑shaped grid across the rear slope surface, the system non‑contactly captures target images in real time. Leveraging sub‑pixel positioning and AI‑based image‑recognition algorithms, it precisely calculates the horizontal and vertical displacements of each target, enabling high‑precision, continuous monitoring of surface deformations on the slope.
The system comprises a visual‑intelligence deformation monitor, passive targets, environmental extension sensors (optional rain gauges, temperature‑humidity sensors, and soil moisture sensors), and a cloud‑based early‑warning platform. The device features a built-in constant‑temperature control system that eliminates measurement drift caused by ambient temperature variations; it can simultaneously track more than 16 targets, with a maximum monitoring range of 400 meters and sub‑millimeter accuracy.
Monitoring data is uploaded to the platform via 4G, LoRa, or Ethernet, and the platform features a built-in multi-level displacement early-warning model and a target-loss alarm mechanism.
When displacement exceeds the threshold or the target is dislodged (indicating localized slope failure), the system automatically issues early warnings via web pop-ups, SMS messages, app push notifications, and on-site audio‑visual alarms, thereby establishing a closed-loop management process of “monitoring–analysis–early warning–response” and providing scientific, timely technical support to residents building on cut slopes and to grassroots disaster‑prevention authorities.
FEATURES OF THE SOLUTION
Sub-millimeter-level ultra-high precision
Non-contact, large-scale monitoring
Built-in constant-temperature control system
Intelligent Target Recognition and Tracking
Simplified Deployment and Remote Operations & Maintenance
Multi-level early warning and on-site coordination
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, real‑time 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 parameters. 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 continuous oversight of railway slope deformation, displacement, rockfalls, environmental changes, and structural safety conditions—providing a scientific basis for natural slope hazard prevention, reinforcement design, and the timely mitigation 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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