Development of an AI-Based Ground Subsidence Detection System for New Building

Overview

Accidents caused by ground subsidence have been occurring frequently recently. Existing ground safety inspection methods primarily rely on expert experience or are limited to periodic inspections conducted at set intervals, making real-time response difficult. This system combines AI-based ground movement analysis with real-time data from IoT sensors, enabling more precise ground subsidence prediction and detection. This enhances safety during construction processes and strengthens the structural stability of buildings.

Project description

This system is designed to detect ground subsidence early during building construction and preemptively eliminate risk factors.

• AI-Based Ground Subsidence Prediction and Analysis
  • AI analyzes ground data collected at construction sites and historical subsidence case data to predict the likelihood of subsidence. It learns ground deformation patterns to detect abnormal signs, thereby enhancing safety during the construction process.
• IoT-Based Real-Time Data Collection
  • Real-time data is collected and analyzed using various sensors installed in the ground (accelerometers, pressure sensors, moisture detectors, etc.). This enables immediate anomaly detection by measuring ground movement, foundation deformation, and changes in moisture content.
• Real-time Monitoring and Alert System Operation
  • Based on AI analysis results, immediate alerts are sent when ground subsidence risk increases, providing real-time notifications to construction personnel. This strengthens initial response capabilities and helps prevent large-scale damage.

Key technological features

• AI-Based Ground Change Prediction Algorithm: Application of an AI model that analyzes ground changes in real time and predicts the potential for subsidence
• IoT Sensor Network Deployment: Data collection utilizing underground sensors, accelerometers, moisture detectors, and other devices installed at construction sites
• Real-time Monitoring and Alert System: Provides immediate notifications upon detecting risk levels, enabling rapid response

Expected outcomes

Implementing this system prevents ground subsidence accidents during construction and ensures the long-term safety of structures. Furthermore, real-time monitoring enables construction personnel to respond more swiftly, minimizing economic and social damage.

Launch year: 2024

Attribution

Case study courtesy of the National Information Society Agency, Republic of Korea, Apolitical's Content Partner. Sourced from Use Cases of Public AI Service, Vol.1,  https://eng.nia.or.kr/site/nia_eng/ex/bbs/View.do?cbIdx=31975&bcIdx=28997&parentSeq=29039