دانلود رایگان مقاله کاربرد الگوریتم ترکیب اطلاعات فازی چند حسگری در سیستم نظارت بر ایمنی صنعتی – سال 2020
مشخصات مقاله:
عنوان فارسی مقاله:
کاربرد الگوریتم ترکیب اطلاعات فازی چند حسگری در سیستم نظارت بر ایمنی صنعتی
عنوان انگلیسی مقاله:
Application of multi-sensor fuzzy information fusion algorithm in industrial safety monitoring system
کلمات کلیدی مقاله:
صنعت، چند حسگر، همجوشی اطلاعات فازی، ایمنی
کلمات کلیدی انگلیسی:
Industry – Multi-sensor – Fuzzy information fusion – Safety
مناسب برای رشته های دانشگاهی زیر:
مهندسی صنایع
مناسب برای گرایش های دانشگاهی زیر:
ایمنی صنعتی
وضعیت مقاله انگلیسی و ترجمه:
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فهرست مطالب:
Abstract
Keywords
1. Introduction
2. Methodology
2.1. Structure of data fusion system
2.2. Multi-sensor fuzzy information fusion algorithm
3. Results and analysis
4. Conclusions
Acknowledgements
References
قسمتی از مقاله انگلیسی:
1. Introduction
Safe production is of great significance to chemical enterprises. A safe production environment prevents major accidents and ensures the safety of workers. At the same time, safety accidents seriously hinder the development of industrial enterprises and reduce economic benefits. Therefore, real-time multi-point monitoring of industrial enterprise environments is needed to ensure the safety of workers. The technological characteristics of modern chemical enterprises include advanced technological process, large material flow, high dust concentration, high reaction pressure and temperature, fast rotating machinery, strict control of production parameters and numerous personnel. If the main technological conditions are not controlled, accidents may occur. Many links in the production process of factories and enterprises involve a large number of flammable and explosive dangerous goods, such as gasoline, toxic gases, liquids, dust, etc. However, these materials are necessary for factory production and require manual testing during the production process. Therefore, there are enormous potential safety hazards in the production process of factory products, and the requirements for the surrounding environment are extremely strict; this includes environmental temperature, ventilation conditions, anti-static measures, etc. Improper management or operation of any link is likely to cause huge potential dangers. In traditional control methods, a large number of sensors are used to monitor and control these parameters. The information collected by each sensor is usually processed separately, which not only increases the processing workload, but also ignores the interrelationship of sensory information sources and loses features obtainable through the organic combination of information. People describe variables in a qualitative way and cannot assess the safety conditions of industrial enterprises accurately. Compared to single sensor signal sources, multi-sensor signals allow more reliable outcome prediction (Gokulachandran, 2015).
