Search and rescue solutions increase visibility, accessibility, and precision of movement towards rescue targets for emergency response personnel. They use a combination of GPS, signal readers, environmental sensors, mapping technology, and Remote Sensintechnologies to create real-time maps of the site, locate the targets, and plan rescue operations to optimize speed and safety. Technologies used include using low-power microwaves to detect heartbeats of trapped targets, unmanned aerial vehicles combined with machine vision to spot lost hikers, and smart detectors which can sense the contrast between body temperature and external environments.
Area of Applications
IOT Geolocation Analysis for Search and Rescue
Low-power wide-area network (LPWAN) technologies are aiming to provide power-efficient solutions to the field of Internet of Things (IoT). Over the last years, we have seen a significant development within the area of IoT applications. For many applications, the problem of localization (i.e., determine the physical location of nodes) is critical. An area study of such use case is also the rescue monitor systems. In this study, we start by describing a solution designed for the long range wide area network (LoRaWAN) to localize position of IoT modules such as wearables used from vulnerable groups. Through performance study of the behavior of a LoRaWAN channel and using trilateration and RSSI information, the localization of an IoT wearable can be acquired within a small range. Routing people in need is one of the use cases the above mechanism could be integrated so as to be able to be tracked by familiar people. After that, we evaluate the usage of mathematical model of multilateration algorithms using time difference of arrival (TDoA) as a solution for positioning over LoRaWAN. The research is carried out using simulations in Python by configuring the constant positions of the Gateways inside an outdoor area. The proposed algorithms can be integrated in application for tracking people at any time and especially routing people from vulnerable groups. Through multilateration and algorithm’s prediction, we can have an accuracy of 40–60 m in location positioning, ideal for search and rescue use cases. We finally summarize the above algorithms’ estimation and general behavior in a SAR system.
The Future of Search and Resque
The tools mentioned above demonstrate the sort of power IoT technology can lend emergency response teams navigating treacherous situations. More importantly, this progress is not theoretical. Just look the incident, everyone around the world watched as teams in Thailand leveraged the latest IoT technology to execute one of the most astonishing search and rescue operations ever seen. Emergency response organizations are bound to follow in the footsteps of specialists at Search and Resque Team and look for ways to deploy IoT technology and other similar innovations in the field.
As fired, police and first responders embrace specialized connected devices, IpinfraIOT will be there to offer the essential infrastructure needed to deploy IoT in challenging environments. Connect with us today to learn more about our work.