Developing a fuzzy logic based system for monitoring and early detection of residential fire based on thermistor sensors

Abstract

The recent proliferation of global networking has an enormous impact on the cooperation of smart elements, of arbitrary kind and purpose that can be located anywhere and interact with each other according to the predefined protocol. Furthermore, these elements have to be intelligently orchestrated in order to support distributed sensing and/or monitoring/control of real world phenomena. That is why the Internet of Things (IoT) concept raises like a new, promising paradigm for Future Internet development. Considering that Wireless Sensor Networks (WSNs) are envisioned as integral part of arbitrary IoTs, and the potentially huge number of cooperating IoTs that are usually used in the real world phenomena monitoring and management, the reliability of individual sensor nodes and the overall network performance monitoring and improvement are definitely challenging issues. One of the most interesting real world phenomena that can be monitored by WSN is indoor or outdoor fire. The incorporation of soft computing technologies, like fuzzy logic, in sensor nodes has to be investigated in order to gain the manageable network performance monitoring/control and the maximal extension of components life cycle. Many aspects, such as routes, channel access, locating, energy efficiency, coverage, network capacity, data aggregation and Quality of Services (QoS) have been explored extensively. In this article two fuzzy logic approaches, with temporal characteristics, are proposed for monitoring and determining confidence of fire in order to optimize and reduce the number of rules that have to be checked to make the correct decisions. We assume that this reduction may lower sensor activities without relevant impact on quality of operation and extend battery life directly contributing the efficiency, robustness and cost effectiveness of sensing network. In order to get a real time verification of proposed approaches a prototype sensor web node, based on Representational State Transfer (RESTful) services, is created as an infrastructure that supports fast critical event signaling and remote access to sensor data via the Internet.

Support Vector Machine-Based Fire Outbreak Detection System

“…Sensor node could not know their exact location in the grid. [13] presents an intelligent Fire Monitoring and Warning System (FMWS) that is based on Fuzzy Logic to identify the true existence of dangerous fire and send alert to Fire Management System (FMS). The study discusses design and application of a Fuzzy Logic Fire Monitoring and Warning System that also sends an alert message using Global System for Mobile Communication (GSM) technology.…”

“…In [14] a study explores two fuzzy logic approaches, with temporal characteristics, for monitoring and determining confidence of fire in order to optimize and reduce the number of rules that have to be checked to make the correct decisions. The study assumes that this reduction may lower sensor activities without relevant impact on quality of operation and extend battery life directly contributing the efficiency, robustness and cost effectiveness of sensing network.…”

Design and Application of Fuzzy Logic Based Fire Monitoring and Warning Systems for Smart Buildings

“…The developed system was simpler work in a human way of thinking and closely related to the real model concept [17]. Mirjana et al developed a system with the internet of things (IoT) concept for making right decision according to the situation for monitoring and determining fire confidence and reduce the number of rules by doing so sensor activities also reduced and extend battery life time as well as improve efficiency [18].…”

A custom Internet of Things healthcare system

“…In similar way various sensors for measuring vital parameters can be connected. Based on chosen sensor types, an expert fuzzy system for decision making can be proposed as one of the solutions [25].…”