Multi objective optimization of aspirating smoke detector sampling pipeline

Višak, Tomica; Baleta, Jakov; Virag, Zdravko; Vujanović, Milan; Wang, Jin; Qi, Fengsheng

doi:10.1007/s11081-020-09582-z

Cited by 9 publications

(6 citation statements)

References 18 publications

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“…However, extinguishing systems are the most appropriate option, although the directive does not specify how these systems should be. Wind turbine manufacturers can install their own detection and extinction systems or hire expert companies [ 29 ]. According to Jamie Scurlock of the RES group, risk assessment is one of the most important tasks for good fire protection design.…”

Section: International Fire Protection Guidelines and Certificatementioning

confidence: 99%

Fire risk assessments and fire protection measures for wind turbines: A review

You,

Shaik,

Rokonuzzaman

et al. 2023

Heliyon

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Section: International Fire Protection Guidelines and Certificatementioning

confidence: 99%

Fire risk assessments and fire protection measures for wind turbines: A review

You,

Shaik,

Rokonuzzaman

et al. 2023

Heliyon

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“…Upon successful validation, the authors tested the developed ANN-PSO and ANN-GA hybrid approaches in a case study in South East Queensland, Australia. Višak et al (2021) showed the multiobjective optimization of an aspirating smoke detection system where a pipeline sends the air samples from the sampling points to the analysis subsystem. The results of 3D CFD-based simulations indicated that smoke will not always flow in the pipe centre.…”

Section: Short Overview Of the Papers From Previous Opte Sismentioning

confidence: 99%

Introductory remarks on the special issue of Optimization and Engineering dedicated to SDEWES 2021 conference

et al. 2022

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The background of this Special Issue (SI) of the Optimization and Engineering (OPTE) journal is the 2021 Sustainable Development of Energy, Water and Environment Systems (SDEWES) Conference. This broad field was discussed by the participants of the 16th SDEWES Conference held in Dubrovnik, Croatia. This SI aims to bring together articles that discuss recent advances in optimization methods and algorithms that integrate various life-supporting systems. A decision-making problem often appears as a parameter estimation problem; it can be formulated as an optimization model and solved using different optimization algorithms and techniques. All papers included in this OPTE journal SI consider aspects of numerical analysis, mathematical modelling, and computational methods involved in investigating, planning and implementing sustainable development. In this context, the guest editors have confidence that the selected papers and addressed issues will substantially contribute to the increase of the knowledge body published in the OPTE journal, and the SI will be a powerful platform for researchers to discuss, share, and disseminate new ideas.

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“…However, this approach can only partially eliminate the effect of other interfering particles through the filter and cannot distinguish the particle type. These factors significantly limit the applicability of the detector: the impact of the airflow direction on the mounting angle of the detector needs to be considered when designing the layout style of the pipeline [6]; the air sample pipeline needs to be complexly modeled in 3D to verify the reasonableness of the pipeline layout [7]; and the trajectories of smoke particles need to be identified by using computational fluid dynamics [8]. The false alarm resistance of a detector can be improved by adding a combustible gas detection module for alarm calibration [9].…”

Section: Introductionmentioning

confidence: 99%

Research on a capacitive particle analysis smoke detector

Wang,

Zhao,

Zhang

et al. 2024

Preprint

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Smoke detectors face the challenges of increasing accuracy, sensitivity, and high reliability in complex use environments to ensure the timeliness, accuracy, and reliability of very early fire detection. The improvement and innovation of the principle and algorithm for smoke particle concentration detection provide opportunities for improving the performance of the detector. This study represents a new refinement of the smoke concentration detection principle based on capacitive detection of cell structures, and detection signals are processed by a multiscale smoke particle concentration detection algorithm to calculate smoke concentration. Through experiments, it was found that the detector provides effective detection of smoke particle concentrations ranging from 0 to 10% obs/m; moreover, when the detection accuracy is greater than a certain number of parts per million (PPM), the sensitivity of the detector can reach the PPM level; furthermore, the detector can detect smoke particle concentrations higher than the PPM level accuracy even in an environment with a certain concentration of petroliferous and dust particles of different sizes.

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Multi objective optimization of aspirating smoke detector sampling pipeline

Cited by 9 publications

References 18 publications

Fire risk assessments and fire protection measures for wind turbines: A review

Fire risk assessments and fire protection measures for wind turbines: A review

Introductory remarks on the special issue of Optimization and Engineering dedicated to SDEWES 2021 conference

Research on a capacitive particle analysis smoke detector

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