Objective
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.
Work description:
First of all, we will conduct fire tests according to EN54 and also tests with paper fire and tobacco smoke to identify the fire and non-fire patterns. We will analyse and evaluate the results of these tests in order to select suitable gas and optical multi-sensors for the measurement and identification of fire products. Then, the final specification of the system architecture and algorithms will be set up. Two workgroups will design and develop the multi-gas-sensor-system (MGS) and the optical-multi-sensor (OMS) in parallel. The MGS will measure at least CO, CO2, NO, unburned hydrocarbons and alkaloids. The OMS will measure the scattered light at different wavelengths and at different scattering angles. The integration of the developed MGS and the developed OMS will be accompanied by the development of the neural network running in an embedded system which will be equipped with a LON network for teleservice and telemaintenance.
Two prototypes will be manufactured for final testing and field tests. The final testing and qualification will include the validation of the fire detection performance, discrimination of nuisance situations and telemanagement functionality. We will verify the fire detection performance with the same fire tests as for the smoke pattern identification. The improved functionality of IMOS prototype will be demonstrated at two different industrial applications, in a recycling plant and in a public building. The telemanagement feature will able us to follow the demonstration through the Internet.
Milestones:
M03 Specification of the intelligent multisensor microsystem (IMS)
M15 Development and test of the multi-gas-sensor-system (MGS) and the optical-multi-sensor (OMS)
M24 Integration of the MGS and OMS and development of the neural network and teleservice
M32 Final testing and qualification
M36 Field tests in two different industrial applications.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology environmental engineering waste management waste treatment processes recycling
- natural sciences chemical sciences organic chemistry hydrocarbons
- social sciences sociology social issues social inequalities
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
30853 LANGENHAGEN
Germany
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