Knowledge-Based Alarm System with Identified Deformation Predictor

01.02.2008 - 31.01.2011
Research funding project
Knowledge-Based Alarm System with Identified Deformation Predictor (KASIP) Because of increasing settlement activities of people in mountanious regions and the simultanous appearance of extreme climatic conditions the investigation and alerting of landslides becomes more and more important. Within the last few years a significant rising of disastrous slides could be registered which generated a broad pulic interest and the request for security measures. The investigation and installation of alarm systems aims for a raise of security and a restriction of human, economical and environmental damage. Our new vision is the combination of monitoring data (e.g. GPS or tacheometer measurements) with a numerical model which represents the structure of the slope. The model is planned to overtake the calculation of precise simulations and to support the prediction of critical states of the slope as reaction to environmental influences (like mass excavation). It will be one central component of a new type of data- and knowledge-based alarm system. Central elements of the data-based part are the monitoring system and the numerical slope model which is adapted to reality. For the model calibration step we are planning to use adaptive KALMAN-filtering tech-niques and replace the statistically non assured try and error methods. The knowledge-based part acts as a superordinated alarm manager which combines and evaluates the calibration, simulation and/or prediction results of the numerical model with additional hybrid expert knowledge. This will be measuring results from the monitoring system, additional local deformation models (e.g. polynomials or spectral analysis) and heuristic knowledge from landslide experts. The goal is to establish a widely automated decision process whether to keep the current alarm level of the slope or to change to another one.

People

Project leader

Project personnel

Institute

Grant funds

  • FWF - Österr. Wissenschaftsfonds (National) Austrian Science Fund (FWF)

Research focus

  • Environmental Monitoring and Climate Adaptation: 50%
  • Computational Intelligence: 25%
  • Computer Science Foundations: 25%

Keywords

GermanEnglish
HangrutschungenLandslide
Numerisches HangmodellNumerical slope model
Adaptive Kalman-FilterungAdaptive Kalman-filtering
Wissensbasiertes AlarmsystemKnowledge-based alarm system
In situ KalibrierungIn situ calibration
Katalog VersagensmechanismenFailure mechanisms catalogue

External partner

  • Institut für Geotechnik

Publications