On a linear fire detection using coaxial cables

Jevtić, Radoje; Blagojević, Milan

doi:10.2298/tsci130211102j

Cited by 14 publications

(11 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, only the small parts of realized results were presented due to journal's requirements and limitations. Numerous other results concerning the same building were presented in earlier papers [10,11]. The examples of potential fire…”

Section: Fire Simulationmentioning

confidence: 74%

The Fire Simulation as a Safety Advantage in Fire Prediction and Fire Protection

Jevtić¹

2015

Safety Engineering

Self Cite

View full text Add to dashboard Cite

Fire presents the process of uncontrolled combustion that makes material damage and endangers human lives. It is important to know many factors that fire depends on for successful design and realization of fire protection systems. One of the most effective, the most economic and the most reliable ways to determine propagation of potential fire is the use of simulation programmes. In this paper, the usage of the PyroSim 2012 simulator in the potential fire determination was presented. A simulated facility was chosen to be the Electrotechnical school „Nikola Tesla“ in Niš. Key words: fire, simulation, FDS, evacuation

show abstract

Section: Fire Simulationmentioning

confidence: 74%

The Fire Simulation as a Safety Advantage in Fire Prediction and Fire Protection

Jevtić¹

2015

Safety Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…The simulation of the fire propagation and behavior of its consequences presents very effective engineering tool in the fire prediction, checking of optimal detectors arrangement, fire propagation and many other useful information. According to the simulation results, it is possible to realize many important tasks such as to determinate the potential directions of the fire propagation, to fix and eliminate errors made in the object projection and realization, which is not possible without direct testing, which is uneconomic and hard to realize, and, in many cases, shown destructive on people and material properties [4][5][6]. According to the example in this paper, it is possible to determine the optimal smoke detectors arrangement and to determinate minimal and maximal time needed for detectors activation.…”

Section: Resultsmentioning

confidence: 99%

The Fire Detectors Arrangement in Rooms With No Standard Geometry

Jevtić¹

2016

Safety Engineering

View full text Add to dashboard Cite

Fire protection systems present one of the most important systems of the object protection systems and they consists many different parts connecting in one unique system. One of those parts is fire detector. Detector presents one of the main elements of all real time systems that collecting data by measuring material and energetic changes of supervised occurrence. One of the most important tasks in projection of fire system is the type and arrangement of detectors in object. These tasks are regulated by proper standards. But, there are special cases, such as rooms with no standard geometry, where deviations are necessary and possible. This paper presents simulation check of smoke detectors arrangement in room with no standard geometry. Key words: fire, detector, simulation, arrangement, geometry .

show abstract

“…Wang et al [7] investigated the near-field and far-field temperature sensor array to detect fire stages. Jevti and Blagojevi [8] employed electrical and sheathed thermocouple type heat sensors to monitor wire resistance and surface temperature in associate with fire stages. For the applications of gas sensors, Liu et al [9] gave a summary for gas sensing technologies by detecting the sensor output variation of the semiconductor, catalytic bead, photoionization, infrared, electrochemical, optical, acoustic, gas chromatograph, and calorimetric.…”

Section: Introductionmentioning

confidence: 99%

Automatic Smoke Detection Based on SLIC-DBSCAN Enhanced Convolutional Neural Network

2021

View full text Add to dashboard Cite

Video flame and smoke-based fire detection usually exhibit large variations in the feature of color, texture, shapes, etc., caused by the complex environment. It is difficult to develop a robust method to detect fire based on single or multiple fire features. Since convolutional neural network (CNN) has reported state-of-the-art performance in a wide range of fields. This study present a method based on SLIC-DBSCAN and convolutional neural network to recognize flame and smoke modes connected to fire stages. First, simple linear iterative clustering (SLIC) is acted as the pre-processing step to over segment images into super-pixels. Then the use of density based spatial clustering of application with noise (DBSCAN) gathered the similar super-pixels into several clusters, which in turn provide better smoke detection accuracy by using CNN. Comparison studies are performed to base on smoke image from publicly available data and self-collected data. The experimental results demonstrated the improved smoke detection capabilities by the present method.

show abstract

On a linear fire detection using coaxial cables

Cited by 14 publications

References 2 publications

The Fire Simulation as a Safety Advantage in Fire Prediction and Fire Protection

The Fire Simulation as a Safety Advantage in Fire Prediction and Fire Protection

The Fire Detectors Arrangement in Rooms With No Standard Geometry

Automatic Smoke Detection Based on SLIC-DBSCAN Enhanced Convolutional Neural Network

Contact Info

Product

Resources

About