Abstract

The new design and analysis presented in the paper are on an intelligent emergency location and response system that is specifically designed within the framework of university campuses, and one of the case studies is the deployment of the system on the Al-Ayen Iraqi University. The system network integrates a multi-sensor network with acoustic arrays, thermal cameras, smoke/ gas sensors, vibration sensors, and electrical fault chips, which work together with the extremely precise angle-of-arrival (AOA) research algorithms. The system is capable of working in a wireless ad-hoc sensor network and thus offers secure communication to ensure that the data integrity, confidentiality, and timely responsiveness can be reached, and avoid security problems like unauthorized access, data tampering, and signal interference. It is coded to identify, categorize, and locate any disaster, including fires, electrical outages, and collapses of the structure (among others), with the use of such techniques as the Multiple Signal Classification (MUSIC) algorithm and triangulation. Simulation and experimental findings were encouraging: the localization error of about 5 meters, detection latency of about 1 second, classification error of more than 97% and over 40% reduction in dispatch time. Security has also been put in place so that the system is not accessed accidentally and compromised, which is an aspect that renders the system a strong system in real-life situations. The system reduced the approximate dispatch time from between 120 seconds to approximately 75 seconds as opposed to the dependency on a printed circuit board (PCB) antenna. It has been demonstrated that the system has an availability of 99% over a 30-day period, and it has a high sensor failure resistance by Geometric Dilution of Precision (GDOP) testing and error confidence. An interface that offers real-time visualization of the events assists in the management of emergency response by providing the event that is taking place in the form of a graph to alert the responders.