The Science in SGL for USaR project
SGL for USaR pursuits establishing human signatures across a wide range of signals. Human signature identified in SGL for USaR project include chemical, sound and image signatures. Exploring and establishing chemical human signatures serves the development of algorithms for detecting and locating entrapped victims. Additional to these efforts, another challenging task is exploring signatures of dead bodies and hazardous conditions in the collapsed structures. Establishing these types of signatures makes it possible to prepare alarms for sensors for facilitating the search and rescue operations. Detecting signatures of hazardous conditions increases the safety of working in the rubbles. In general, for answering the challenging issue of establishing chemical human signatures, both chemical and medical consideration is needed. Interaction of human related VOCs with the background of collapsed building needs to be investigated by analyzing VOCs plume, its potential absorption and reaction with the air by the background materials in the collapsed building. The chemistry of confined spaces needs to be clearly understood. Additionally, the sources of human related VOCs need to be identified, classified and strongly related with the medical status of victims.
Information, communication and sensors technologies are used in the SGL for USaR project for delivering systems and devices that are pushing forward the USaR operations. The key element in using these technologies is the integration that allows for acquisition and short out of different types of signals with the scope of increasing the accuracy of the information and the reduction of the time needed for searching for victims. The developed software exists in the project in order to make the best use of available resources, compromise between processing time and volume of data, for developing smart algorithms for alerts, for taking care data storage and communication. The ICT used in the project cope with the challenges of transferring data in non homogeneous space, communicating high dimensional data, facing constraints in power supply and computing and handling requests of different types. Additionally, the challenge of integrating different types of sensors (visual, acoustic, chemical) is realized in the project.
More details of technology research in "SGL for USaR" can be found here