Fire Control System Operation Status Assessment Based on Information Fusion: Case Study

Li, Yingshun; Wang, Aina; Yi, Xiaojian

doi:10.3390/s19102222

Cited by 10 publications

(6 citation statements)

References 44 publications

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“…Firstly, according to a large number of experimental results and expert experience, the characteristic quantities of the arc fault are extracted, and the validity and defects of each characteristic quantity as the criterion are determined. The influence of each criterion on the overall failure probability judgment is judged [50][51][52][53]. The fuzzy rules for identifying fault arcs are established as knowledge in the knowledge base so that the results of fuzzy reasoning conform to the actual situation.…”

Section: Simulation Study Of Fuzzy Logic Inference System Based Fault...mentioning

confidence: 99%

Design of Multi-Information Fusion Based Intelligent Electrical Fire Detection System for Green Buildings

et al. 2021

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Building management systems are costly for small- to medium-sized buildings. A massive volume of data is collected on different building contexts by the Internet of Things (IoT), which is then further monitored. This intelligence is integrated into building management systems (BMSs) for energy consumption management in a cost-effective manner. Electric fire safety is paramount in buildings, especially in hospitals. Facility managers focus on fire protection strategies and identify where system upgrades are needed to maintain existing technologies. Furthermore, BMSs in hospitals should minimize patient disruption and be immune to nuisance alarms. This paper proposes an intelligent detection technology for electric fires based on multi-information fusion for green buildings. The system model was established by using fuzzy logic reasoning. The extracted multi-information fusion was used to detect the arc fault, which often causes electrical fires in the low-voltage distribution system of green buildings. The reliability of the established multi-information fusion model was verified by simulation. Using fuzzy logic reasoning and the membership function in fuzzy set theory to solve the uncertain relationship between faults and symptoms is a widely applied method. In order to realize the early prediction and precise diagnosis of faults, a fuzzy reasoning system was applied to analyze the arcs causing electrical fires in the lines. In order to accurately identify the fault arcs that easily cause electrical fires in low-voltage distribution systems for building management, this paper introduces in detail a fault identification method based on multi-information fusion, which can consolidate the complementary advantages of different types of judgment. The results demonstrate that the multi-information fusion method reduces the deficiency of a single criterion in fault arc detection and prevents electrical fires in green buildings more comprehensively and accurately. For the real-time dataset, the data results are presented, showing disagreements among the testing methods.

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Section: Simulation Study Of Fuzzy Logic Inference System Based Fault...mentioning

confidence: 99%

Design of Multi-Information Fusion Based Intelligent Electrical Fire Detection System for Green Buildings

et al. 2021

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“…Finally, besides being a purely scientific tool used in reduced-scale model research, the proposed optical densitometer can play more advanced role of a simulator of a linear optical smoke detector, allowing research in the fields of development of new Artificial Intelligence (AI) based fire detection system networks, such as [31] or in other information-driven fire safety systems such as [32]. This device may enable the use of reduced-scale fire modelling in research in other areas of fire safety science, such as smart disaster management systems employing smart Internet of Things (IoT) based buildings [33], that rely on visibility measurements.…”

Section: Discussionmentioning

confidence: 99%

Smoke Obscuration Measurements in Reduced-Scale Fire Modelling Based on Froude Number Similarity

Węgrzyński

Antosiewicz

Burdzy

et al. 2019

Sensors

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A common method for investigating various fire- and smoke-related phenoma is a reduced-scale fire modelling that uses the conservation concept of Froude number as its primary similarity criterion. Smoke obscuration measurements were not commonly used in this approach. In this paper, we propose a new type of optical densitometer that allows for smoke obscuration density measurements on a reduced-scale. This device uses a set of mirrors to increase the optical path length, so that the device may follow the geometrical scale of the model, but that still measures smoke obscuration as if it were in full scale. The principle of operation is based on the Bougher-Lambert-Beer law, with modifications related to the Froude number-based scaling principles, to streamline the measurements. The proposed low-budget (< $1000) device was built, calibrated with a set of the reference optical filters, and used in a series of full- (1:1) and reduced-scale (1:4) experiments with n-Heptane fires in a small compartment. The main limitation of this study is the assumption that there is similar soot production in full- and reduced-scale fires, which may not be true for many Froude-number scaling applications. Therefore, it must be investigated in a case-by-case basis. In our case, the results are promising. The measured obscuration in the reduced-scale had a 10% error versus averaged measurements in full-scale measurements. Moreover, there were well represented transient changes of the smoke layer optical density during the combustion and after the smoke layer settled.

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“…https://engine.scichina.com/doi/10.1007/s11432-020-3006-9 [105][106][107][108] Risk assessment 3 6.38 [109][110][111] Multi-criteria decision-making 3 6.38 [26,112,113] Decision-making 2 4.26 [114,115] Emergency management 2 4.26 [116,117] Quantum decision 2 4.26 [118,119] Organizational management 1 2.13 [120] IoT applications 1 2.13 [121] Language model 1 2.13 [122] Medical diagnosis 1 2.13 [98] Besides, Ref. [77] also discussed the maximum entropy and the applications of proposed entropies.…”

Section: Definition 20 (Renyi-deng Entropy [77]) the R-d Entropy Is mentioning

confidence: 99%

“…A new weapon-target assignment model considering uncertainty and its decomposition coevolution algorithm was proposed in [109]. A fire control system operation status assessment method based on information fusion was proposed in [110] and demonstrated through a case study. In addition, an air target threat assessment method based on Deng entropy has been developed in [111].…”

Section: Applications In Risk Assessmentmentioning

confidence: 99%

Uncertainty measure in evidence theory

Deng

2020

Sci. China Inf. Sci.

288

108

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As an extension of probability theory, evidence theory is able to better handle unknown and imprecise information. Owing to its advantages, evidence theory has more flexibility and effectiveness for modeling and processing uncertain information. Uncertainty measure plays an essential role both in evidence theory and probability theory. In probability theory, Shannon entropy provides a novel perspective for measuring uncertainty. Various entropies exist for measuring the uncertainty of basic probability assignment (BPA) in evidence theory. However, from the standpoint of the requirements of uncertainty measurement and physics, these entropies are controversial. Therefore, the process for measuring BPA uncertainty currently remains an open issue in the literature. Firstly, this paper reviews the measures of uncertainty in evidence theory followed by an analysis of some related controversies. Secondly, we discuss the development of Deng entropy as an effective way to measure uncertainty, including introducing its definition, analyzing its properties, and comparing it to other measures. We also examine the concept of maximum Deng entropy, the pseudo-Pascal triangle of maximum Deng entropy, generalized belief entropy, and measures of divergence. In addition, we conduct an analysis of the application of Deng entropy and further examine the challenges for future studies on uncertainty measurement in evidence theory. Finally, a conclusion is provided to summarize this study.

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Fire Control System Operation Status Assessment Based on Information Fusion: Case Study

Cited by 10 publications

References 44 publications

Design of Multi-Information Fusion Based Intelligent Electrical Fire Detection System for Green Buildings

Design of Multi-Information Fusion Based Intelligent Electrical Fire Detection System for Green Buildings

Smoke Obscuration Measurements in Reduced-Scale Fire Modelling Based on Froude Number Similarity

Uncertainty measure in evidence theory

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