Projects
Integrated system for detection and estimation of fire development by real-time monitoring of critical parameters
| Code |
Science |
Field |
| T000 |
Technological sciences |
|
Integrated fire-protection system, Wireless Sensor Networks, Intelligent Systems
Organisations (6)
, Researchers (1)
0038 University of Novi Sad, Faculty of Technical Sciences
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
04376 |
PhD Vladimir Crnojević |
Telecommunication engineering |
Head |
2011 - 2019 |
33 |
0039 University of Novi Sad, Faculty of Medicine
0112 University of Belgrade, Institute "Mihailo Pupin"
0156 IRITEL
0162 University of Novi Sad, Institute of Lowland Forestry and Environment
0268 Mathematical Institute SASA
Abstract
The aim of this project is to create an integrated fire fighting system designed for urban environments and forests, which allows for monitoring the progress of a fire in real time. Wireless Sensor Networks (WSNs) form the basis for the proposed system, which is composed of many devices that track data such as humidity, air temperature or the concentration of gases. Using WSNs in extreme conditions, such as high temperatures caused by fire, there exists a danger that a large part of the WSN may fail in short period? It is in these critical situations that WSNs measure key information used for evaluating the state of the fire and predicting its spread. The development of high temperature sensors, saving collected information within a network even after the failure of a large number of nodes, and timely reporting of this information from the WSN to the firefighting unit define the key elements of the proposed system which will secure an efficient reaction from the firefighting unit. Apart from WSNs, a system of automatic tracking and detection of fire based on towers equipped with thermal cameras will be developed. Using the intelligent system of traffic monitoring, a system of optimally routing emergency vehicles will be developed as well. The complete system will allow for processing, analysis, tracking of changes in real time before and during an intervention, prediction and display of all relevant information, as well as timely responses and a minimization of damage.