Development of a Cyber Physical System for Fire Safety

Wills, Rosalie Faith

doi:10.1007/978-3-319-47124-2

Cited by 4 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Within Section 5, a more deeper explanation will be given on the transfer learning aspect for thermal and visual images. Furthermore, the approach of Wills et al [13] is most closely related to ours. They map sensor data in a three-dimensional BIM for critical fire safety decision making.…”

Section: Building Models For Fire Investigationmentioning

confidence: 58%

Fireground location understanding by semantic linking of visual objects and building information models

Vandecasteele

Merci

Verstockt

2017

Fire Safety Journal

View full text Add to dashboard Cite

This paper presents an outline for improved localization and situational awareness in fire emergency situations based on semantic technology and computer vision techniques. The novelty of our methodology lies in the semantic linking of video object recognition results from visual and thermal cameras with Building Information Models (BIM). The current limitations and possibilities of certain building information streams in the context of fire safety or fire incident management are addressed in this paper. Furthermore, our data management tools match higher-level semantic metadata descriptors of BIM and deep-learning based visual object recognition and classification networks. Based on these matches, estimations can be generated of camera, objects and event positions in the BIM model, transforming it from a static source of information into a rich, dynamic data provider. Previous work has already investigated the possibilities to link BIM and lowcost point sensors for fireground understanding, but these approaches did not take into account the benefits of video analysis and recent developments in semantics and feature learning research. Finally, the strengths of the proposed approach compared to the state-of-the-art is its (semi-)automatic workflow, generic and modular setup and multi-modal strategy, which allows to automatically create situational awareness, to improve localization and to facilitate the overall fire understanding.

show abstract

Section: Building Models For Fire Investigationmentioning

confidence: 58%

Fireground location understanding by semantic linking of visual objects and building information models

Vandecasteele

Merci

Verstockt

2017

Fire Safety Journal

View full text Add to dashboard Cite

show abstract

“…Solid particles in the smoke cause it to have a specific shade, which reduces the visibility of the fire, seriously affecting the evacuation and fire-fighting operations [45,46]. Due to the settlement of smoke, when the fire inside a building develops to a particular stage, visibility at the building entrance reduces significantly [47].…”

Section: Visibilitymentioning

confidence: 99%

Experimental and Numerical Simulation Analyses of Flame Spread Behaviour over Wood Treated with Flame Retardant in Ancient Buildings of Fuling Mausoleum, China

Wang

et al. 2022

Fire Technol

View full text Add to dashboard Cite

To protect ancient buildings from fire, prevent the occurrences of fire, and minimise the losses caused by fire to the maximum extent possible, this study combined experimental measurements and numerical simulations to analyse the flame spread behaviour over wood treated with flame retardants. First, some wood blocks were treated with a nitrogen and phosphorus (water-based) flame retardant, and then a smoke combustion experiment was performed to test the smoke density. Scanning electron microscopy was also employed to observe the flame retardant effect. Next, a fire dynamic simulation software was used to simulate and analyse the results of the flame spread behaviour over the yellow pine collected from the Long’en Hall of Fuling Mausoleum, that was treated with flame retardants. The results showed the variation trend of the fire site’s heat release rate (HRR) over time to be consistent with the movement of fire spread after its occurrence. Compared with pristine wood, the flame retardant-treated wood exhibited a HRR reduction of 53.1%. The addition of flame retardants also reduced the concentration of the released smoke and CO2 gas, decreased the temperature of the fire site, and enhanced visibility.

show abstract

“…Aiming at the problems existing in the operation and supervision of power equipment which are lack of the above research, this paper innovatively uses the cyber physical system (CPS) and hidden Markov model to build the online monitoring and early warning system of distribution network [4] . By exploring CPS technologies such as information collection, network transmission and data processing, the system structure constructs a closed-loop system of perception, transmission, analysis, decision-making and execution, realizes the integration of physics and information, improves the overall situation, intelligence and humanization of the system, and realizes the purpose of real-time warning of electric equipment.…”

Section: Introductionmentioning

confidence: 99%

A research on early warning method of Distribution Network Cyber Physical System

Chen

Xu²,

Wang

et al. 2021

E3S Web Conf.

View full text Add to dashboard Cite

The high integration of cyber and physics is the development trend of intelligent distribution network in the future, but the cyber system not only supports the stable operation of the physical system, also brings some security risks to the cyber physical system of distribution network. Aiming at the requirements of real-time, accuracy, efficiency and other characteristics of distribution network monitoring, this paper proposes an early warning method of distribution network cyber physical system based on Hidden Markov model. Firstly, the online monitoring and early warning system architecture of distribution network information physical system is proposed, and then the early warning method of distribution network cyber physical system based on Hidden Markov model is established. Finally, an example is given to verify that the proposed strategy can accurately and efficiently early warn the fault.

show abstract

Development of a Cyber Physical System for Fire Safety

Cited by 4 publications

References 10 publications

Fireground location understanding by semantic linking of visual objects and building information models

Fireground location understanding by semantic linking of visual objects and building information models

Experimental and Numerical Simulation Analyses of Flame Spread Behaviour over Wood Treated with Flame Retardant in Ancient Buildings of Fuling Mausoleum, China

A research on early warning method of Distribution Network Cyber Physical System

Contact Info

Product

Resources

About