Abstract
People's safety and property can only be saved if the fire alarm signal is precisely detected and identified as early as possible in the fire, which is a terrible catastrophe for the security of people's lives and properties. Fire detection accuracy and validity are degraded as a result of growing ambiguity in the fire signal. – An algorithm for the detection of one dimensional fire space is provided to demonstrate the suggested method's fine fault tolerance, robustness, and accuracy in a novel technique for detecting uncertainty fire signals based on fire scenarios. First, an analysis of fire scenario performance yields a fractal character for the fire space, and then an intelligent method based on rough set theory and trend integration is used to process the multi-source signal obtained from a group of fire detectors. When a relationship between the two characters is recognised as being logically coincident, an actual alarm for a fire is triggered.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Science, Communication and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
