A Smart Building Fire and Gas Leakage Alert System with Edge Computing and NG112 Emergency Call Capabilities

• Main Authors: Amditis, A. (Author), Dadoukis, A. (Author), Hadjipavlis, G. (Author), Karagiannidis, L. (Author), Krommyda, M. (Author), Maltezos, E. (Author), Ouzounoglou, E. (Author), Petousakis, K. (Author)
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: common operational picture; Common operational picture; COP; critical infrastructure; Critical infrastructure; Decision making; edge computing; Edge computing; emergency situation; Emergency situation; fire detection; Fire detection; Fire detectors; Fires; gas leakage detection; Gas leakage detection; Gas leakages; Internet of things; Leakage detection; next-generation 112 call; Next-generation 112 call; Open systems; PSAP; public safety answering point; Public safety answering points; Safety factor; smart building; smart cities; Smart city; Smoke
• Online Access: View Fulltext in Publisher

 Nowadays, the transformations of cities into smart cities is a crucial factor in improving the living conditions of the inhabitants as well as addressing emergency situations under the concept of public safety and property loss. In this context, many sensing systems have been designed and developed that provide fire detection and gas leakage alerts. On the other hand, new technologies such edge computing have gained significant attention in recent years. Moreover, the development of recent intelligent applications in IoT aims to integrate several types of systems with automated next-generation emergency calls in case of a serious accident. Currently, there is a lack of studies that combine all the aforementioned technologies. The proposed smart building sensor system, SB112, combines a small-size multisensor-based (temperature, humidity, smoke, flame, CO, LPG, and CNG) scheme with an open-source edge computing framework and automated Next Generation (NG) 112 emergency call functionality. It involves crucial actors such as IoT devices, a Public Safety Answering Point (PSAP), the middleware of a smart city platform, and relevant operators in an end-to-end manner for real-world scenarios. To verify the utility and functionality of the proposed system, a representative end-to-end experiment was performed, publishing raw measurements from sensors as well as a fire alert in real time and with low latency (average latency of 32 ms) to the middleware of a smart city platform. Once the fire was detected, a fully automatic NG112 emergency call to a PSAP was performed. The proposed methodology highlights the potential of the SB112 system for exploitation by decision-makers or city authorities. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.