Augmented IoT Service Architecture Assisting Safe Firefighting Operation

Hong, Sang Gi; Son, Kyo-Hoon; Lee, Hyesun; Bae, Myung‐Nam; Lee, Kang Bok

doi:10.1109/giots.2018.8534583

Cited by 3 publications

(3 citation statements)

References 8 publications

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“…2 OWL Web Ontology Language, http://www.w3.org/TR/owl-primer, last accessed on 20th April, 2020. 3 We showed that using semantic reasoners locally on current mobile devices is feasible in [14].…”

Section: Knowledge Modelingmentioning

confidence: 97%

“…There are plenty of applications in the literature to provide users with specific location-based services [36]. For example, taxi searching [2], helping firefighting [3], detecting and recommending nearby friends [4], or multimedia retrieval in sport events [5], among many others. Also, there are some proposals of architectures to provide LBS.…”

Section: A Location-based Servicesmentioning

confidence: 99%

“…Besides, they usually work with implicit context knowledge (e.g., possibly hardcoded within the application/service), which contributes to their non-reusability. For example, LBS for taxi searching [2], helping firefighting [3], detecting and recommending nearby friends [4], or multimedia retrieval in sport events [5] have been presented, among many others. Therefore, it is difficult to handle the information about all the LBS which could be interesting for us, and to select the most appropriate service matching our information needs.…”

Section: Introductionmentioning

confidence: 99%

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A Knowledge-Based Approach to Enhance Provision of Location-Based Services in Wireless Environments

2020

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Location-Based Services (LBS) are attracting a great interest with the fast expansion of mobile computing nowadays. These services use the user location to customize the offered information. However, most of those services are designed for specific scenarios and goals with implicit knowledge about the application context. As a consequence, hundreds of them are available (even with the same purpose). So, it is difficult for users to choose the most suitable service as they are in charge of knowing/finding the services which will be interesting for them, and handle the information that such services need. In this paper, we present an approach to handle LBS for mobile users which relieves them from knowing and managing the knowledge related to such services. This approach consists of a proposal for the modeling of such information as ontologies, which are handled by an agent-based architecture. Also, we propose to maintain updated the knowledge each mobile device contains by leveraging the exchange of information with others. For accessing the local knowledge, we present an SPARQL-like query language which avoids the ambiguities of natural language. Finally, we propose an approach to translate the user information needs into formal requests expressed in this query language, which could be later processed against the knowledge repositories to obtain the results the user needs. INDEX TERMS Location-based services, mobile computing, Semantic Web.

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Section: Knowledge Modelingmentioning

confidence: 97%

Section: A Location-based Servicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Knowledge-Based Approach to Enhance Provision of Location-Based Services in Wireless Environments

2020

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Research on Escape Strategy Based on Intelligent Firefighting Internet of Things Virtual Simulation System

Hai

Sun

Gao

et al. 2021

Lecture Notes in Electrical Engineering

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An automated water dispensing system for controlling fires in coal yards

Jayasuriya

Moser

Mel

2022

Int J Coal Sci Technol

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In spite of recent moves to wean the world of fossil fuels, coal remains the main source of power in many countries. Coal yards are prone to spontaneous ignition, a problem faced in every country that stores or transports coal. Depending on the environment-temperature, ventilation, and the rank of the coal-heating and self-ignition can be a longer or shorter process, but the possibility can never be entirely dismissed. A plethora of studies have modelled this oxidation behavior and proposed countermeasures. Most often, human intervention is necessary, which is both slow and dangerous for the firefighters involved. In this study, we propose to build a complete firefighting solution which is mounted on a number of towers sufficient to cover the area of an open coal yard, complete with redundancy. Each tower includes an inexpensive infrared detector, a water dispenser and a controller programmed to identify areas of elevated temperature, and actuate the dispenser. The heat direction algorithm calculates the parameters to position the water dispenser so that it covers the area. A prototype has been built from inexpensive components to demonstrate the effectiveness at detecting and extinguishing arising fires, and a solution has been costed for the coal yard in the case study. This work has been conducted in collaboration with the managers of the coal yard of a power plant.

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Augmented IoT Service Architecture Assisting Safe Firefighting Operation

Cited by 3 publications

References 8 publications

A Knowledge-Based Approach to Enhance Provision of Location-Based Services in Wireless Environments

A Knowledge-Based Approach to Enhance Provision of Location-Based Services in Wireless Environments

Research on Escape Strategy Based on Intelligent Firefighting Internet of Things Virtual Simulation System

An automated water dispensing system for controlling fires in coal yards

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