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Intelligent Modular Multi-sensor Networked False Alarm Free Fire Detection System

Project: Research

Project participants

Description

The main objective of IMOS project is the development and the demonstration of a false alarm free fire detection system for large buildings and production plants. This will be achieved by the development of an intelligent multisensor microsystem (IMS) comprising:
An optical multi sensor (OMS), which measures the scattered light and absorptions at least by two different wavelengths and at least by two different scattering angles in order to discriminate between fire and non-fire situations,
A multi-gas-sensor-system (MGS), which is able to measure at least CO, CO2, NO, unburned hydrocarbons and alkaloids,
A neural network running in an embedded system, which will identify smoke fingerprints using all the available sensors information, and teleservice.
AcronymIMOS
StatusFinished
Period01.01.04 → 02.04.09

Recently viewed

Publications

  1. Analysis and Implementation of a Resistance Temperature Estimator Based on Bi-Polynomial Least Squares Method and Discrete Kalman Filter
  2. Different complex word problems require different combinations of cognitive skills
  3. Control of a Sun Tracking Robot Based on Adaptive Sliding Mode Control with Kalman Filtering and Model Predictive Control
  4. A simple fuzzy controller for robot manipulators with bounded inputs
  5. Analysis of semi-open queueing networks using lost customers approximation with an application to robotic mobile fulfilment systems
  6. Anomaly detection in formed sheet metals using convolutional autoencoders
  7. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  8. Framework for setting up and operating biobanks
  9. The Use of Factorization and Multimode Parametric Spectra in Estimating Frequency and Spectral Parameters of Signal
  10. A Multilevel CFA-MTMM Model for Nested Structurally Different Methods
  11. Identification of structure-biodegradability relationships for ionic liquids - clustering of a dataset based on structural similarity
  12. Semantic Parsing for Knowledge Graph Question Answering with Large Language Models
  13. Control of the inverse pendulum based on sliding mode and model predictive control
  14. Introducing a multivariate model for predicting driving performance
  15. Reading and Calculating in Word Problem Solving
  16. Enhancing the Building Information Modeling Lifecycle of Complex Structures with IoT
  17. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  18. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  19. Trajectory-based computational study of coherent behavior in flows
  20. Inversion of fuzzy neural networks for the reduction of noise in the control loop
  21. Clustering Hydrological Homogeneous Regions and Neural Network Based Index Flood Estimation for Ungauged Catchments
  22. XOperator - An extensible semantic agent for instant messaging networks