A preliminary study of combustion flame by digital image processing and residue for fireworks flash powder

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-07-22 DOI:10.1016/j.isatra.2024.07.026
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引用次数: 0

Abstract

Fireworks play a vital role in festive celebrations and entertainment. These fireworks industries are administered by the Petroleum and Explosives Safety Organisation (PESO), Nagpur, Government of India. Even though PESO prescribed the standard composition for various fireworks products, concerns persist regarding the potential deviation from these standards, particularly in the pursuit of increased noise levels to attract consumers. This change in the burning and reactive properties of chemicals could potentially lead to accidents and environmental pollution. The current work investigated the combustion characteristics of two unknown market flash powder samples and a PESO standard sample. The samples were openly ignited in a controlled atmosphere, and video recordings of the resulting chemical flames were analyzed to determine fire area, flame intensity, and motion magnitude. The residues were also collected for EDAX and SEM analysis. Fire pixels from video frames are segmented to create a comprehensive database detailing flame area and motion magnitude under different circumstances. From the flame area profile, motion magnitude and SEM/EDAX analysis, it is found that PESO standard sample combustion is better than the unknown flash powder combustion.

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通过数字图像处理和残留物对烟花闪光粉燃烧火焰的初步研究
烟花在节日庆祝和娱乐活动中发挥着重要作用。这些烟花产业由印度政府那格浦尔石油和爆炸物安全组织(PESO)管理。尽管石油和爆炸物安全组织规定了各种烟花产品的标准成分,但人们仍然担心可能会偏离这些标准,特别是为了吸引消费者而提高噪音水平。化学品燃烧和反应特性的这种变化有可能导致事故和环境污染。本次研究调查了两种未知市场闪光粉样品和一种 PESO 标准样品的燃烧特性。在可控气氛中公开点燃样品,并对所产生的化学火焰的视频记录进行分析,以确定着火面积、火焰强度和运动幅度。还收集了残留物进行 EDAX 和 SEM 分析。对视频帧中的火焰像素进行分割,以创建一个全面的数据库,详细记录不同情况下的火焰面积和运动幅度。从火焰面积剖面、运动幅度和 SEM/EDAX 分析中可以发现,PESO 标准样品的燃烧效果优于未知闪光粉末的燃烧效果。
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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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