Affiliation:
1. College of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming 650224, Yunnan, China
Abstract
Aiming at the problems of leakage alarms and false alarms in fire detection systems, this paper explores the commonality and characteristics of its development process through in-depth analysis of typical fire detection and fire alarm modes at home and abroad and effectively summarizes the process of building fire alarms. In the case of fully grasping the principles of fire alarm and related policy protection, find out the appropriate development mode of fire alarm. At the same time, it can also study the perspectives of the government, the market, and the public, according to the needs of the market, it can be driven by industry and technological innovation can be used as a strong support for the development of fire alarm. Finally, the results of example analysis show that: using blockchain, this paper can effectively obtain high-precision fire detection and fire alarm target analysis results, and meet the needs of real-time analysis of fire detection and fire alarm analysis. Experiments show that the system can detect fires correctly and quickly, and identify interference sources such as fluorescent lamps and alcohol lamps. It has strong interference and good economic benefits.
Funder
Major Science and Technology Projects in Yunnan Province
Subject
Computer Networks and Communications,Computer Science Applications
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