Driving innovation through advanced research and technological excellence.
Driving innovation through advanced research and technological excellence.
산을 깎아 만든 도로는 비탈면 붕괴 위험에 노출된다. 국내에는 3만 여 개의 깎기 비탈면이 있고, 최고 5등급 중 4등급 이상 지역이 2021년 기준 1371개 이다. 현재 비탈면 관리 방식은 위험으로 판단된 비탈면에 지표변위계나 경사계를 설치하고 위치 변화량이 미리 정해 놓은 기준을 넘는 때에만 조치를 취하는 수동 접근에 머물고 있어 사전 붕괴 예측과 신속한 대응에 있어 한계가 있다. DRT의 급경사지 붕괴 예측 시스템은 ‘땅은 아래로 이동한다’라는 단순한 진리에서 출발하여, 지속적인 실험과 연구를 통해 완성된 기술로, 과거 붕괴 이력 데이터에 적용하여 그 효과가 검증되었다. 붕괴를 예측하여 대피시간을 확보함으로써 인명과 재산 피해를 줄이는 데 앞장 서고자 한다.
Developing advanced algorithms to predict landslides using real-time data.
- Install multiple piles in a linear arrangement downward on a hazardous slope.
- Measure the length between piles l(t) and the tilt angle of each pile θ(t).
- Combine analyses of l(t) and θ(t) over time to calculate actual pile displacement.
- Determine collapse prediction time by analyzing the rate of change of displacement over time.
Creating IoT-based solutions for monitoring environmental changes.
Our IoT-based solutions integrate cutting-edge sensor networks to monitor environmental changes in real-time.
The IoT devices are designed to measure wire length, tilt angle and temperature providing actionable insights.
Applications include disaster risk management, precision agriculture, and urban environmental monitoring.
Designing high-precision sensors for critical applications.
Length Measurement: Captures real-time changes in the length of connected components.
Angle Measurement: Detects tilt variations with high accuracy.
Data Integration: Combines measurements over time to calculate actual displacements and predict potential risks.
These sensors are integral to slope stability analysis, structural monitoring, and disaster prevention.
Develop a real-time landslide monitoring system using a minimal set of sensors to track slope behavior with high accuracy.
Status: 90% completed
High Maintenance Costs: The most significant obstacle to utilizing monitoring devices for mitigating landslide damage is the high maintenance cost, which accounts for 8–10% of the installation cost annually.
Durability and High Costs: Monitoring devices require high specifications to withstand harsh environmental conditions, making them expensive.
Temporary Measures with Cost Efficiency: Applying temporary solutions before implementing full maintenance projects can significantly reduce overall costs.
Seasonal Landslide Focus: Landslides in Korea predominantly occur during the rainy season (June to August) and thawing period (February to April), suggesting a cost-effective policy of portable monitoring devices focused on these critical periods.
It provides high-precision measurements of span length changes, ensuring accurate monitoring of ground movement in slope stability analysis.
The Extensometer is engineered to provide precise measurements of span length changes, ensuring accurate monitoring of ground movement. Equipped with high-performance sensors and advanced algorithms, it delivers exceptional resolution and reliability.
Measurement Range: 800–1200 mm
Uncertainty: ±0.15 mm
Resolution: 0.0048% FS
Output Signal: RS-485
Material: Aluminum and ABS plastic housing
Designed for durability, the Extensometer is an essential tool for slope stability analysis, enabling timely and effective decision-making.
It is designed to measure tilt angles with exceptional accuracy, enabling reliable data for early detection of slope instability.
The Tiltmeter is designed to measure tilt angles with exceptional precision, providing reliable data for slope stability and structural monitoring. Using advanced MEMS 3-axis accelerometer technology, it ensures high-resolution measurements under challenging conditions.
Measurement Range: ±90°
Uncertainty: x, y: ±0.015°, z: ±0.15°
Resolution: 0.00012% FS
Output Signal: Wire or Wireless
Material: Aluminum and ABS plastic housing
It is designed to measure tilt angles with exceptional accuracy, enabling reliable data for early detection of slope instability.
1. This portable sensor set includes sensors positioned to measure tilt angles in all cardinal directions (North, East, South, West), with a central camera for real-time monitoring. The tilt sensors utilize state-of-the-art MEMS 3-axis accelerometer chips for precise angle measurement.
2. The PTZ camera is designed to provide comprehensive monitoring of the sensor installation area with high optical and digital zoom capabilities.
Optical Zoom: Minimum 10x optical zoom for detailed observation.
Digital Zoom: Minimum 30x digital zoom for extended reach.
Area Coverage: Covers the entire sensor region with precise targeting.
Automated Response: Automatically focuses on detected risk areas and stores video footage when triggered by the master sensor.
Environmental Monitoring: Provides real-time surveillance of surrounding areas based on administrator commands.
Correction Algorithm for Fundamental Errors in Extensometer-Based Slope Monitoring Systems via a Composite Surface Displacement Sensor
계측이란 이상징후(tell-tale signs)의 사전 파악에 주목적이 있다. 사면의 변화를 정확히 인식하기 위해서는 사용하는 센서를 사용해 획득된 데이터 변화의 의미가 분명해야 하며, 사면 거동의 일반적인 패턴을 이해하지 못하면 센서 수치의 판독(readings)을 제대로 해석할 수 없다. 본 논문은 산사태 조기 예‧경보에 전 세계적으로 사용되는 신축계(Extensometer) 데이터의 프로세싱 혁신에 그 목적이 있다. 현재의 경간 중심 분석은 실체적 사면 거동(Slope movements) 파악에 심각한 오류를 야기하고 있다. 말뚝 간 와이어로 연결된 경간 길이(Span length) 변화는 임의 두 지점 간 변동양상에 관한 분절된 정보(Fragmented information)에 불과할 뿐, 실제적인 개별 말뚝의 이동량과는 전혀 동떨어진 결과를 초래함을 확인할 수 있었다. 시‧공간(Spatiotemporal) 기반 특성 알고리즘을 활용, 관측 대상 모든 점의 이동을 추적함으로써, 경간 길이에 절대적으로 의존하고 있는 현재의 위험 판단 인식모형(Cognitive model)을 재평가하였다. 이를 바탕으로, 실체적 거동의 신뢰성을 높이며, 변상 진행에 따른 의사결정 한계를 극복함으로써 위기 대처능력을 한층 더 고양 시킬 수 있을 것으로 기대한다.
Our vision is to revolutionize landslide prediction by harnessing the power of AI and data analysis.
Real-Time Analysis: Immediate insights from sensor data to detect potential risks.
Predictive Modeling: AI forecasts collapse probabilities using historical and real-time data.
Customized Risk Solutions: Tailored analyses for varying terrains and conditions.
Proactive Decision-Making: Enhanced disaster response through AI-driven analytics.
This innovative approach aims to ensure safer communities and infrastructure by enabling early intervention and precise risk management.