System for ensuring the detection and elimination of fires in the building of the hydroelectric power station

Author:

Shaazizov Farrukh,Shukurov Diyor,Shukurov Elyor

Abstract

Abstract The aim of the work is to develop theoretical and methodological foundations for predicting the likelihood of fires in the premises of hydroelectric power plants, as well as compiling algorithms for monitoring the fire safety system, the “Serviceability control” technological process and the “Fire” technological process. In the course of the work, theoretical studies of methods for assessing the safety of power generating enterprises in the “man -machine -environment” system and ways of occurrence of emergency situations at power plants were carried out. The analysis of methods for assessing the safety of power plants in the “man -machine -environment” system is considered and the analysis of the ways of occurrence of emergency situations at power plants, as well as the types of fires and the peculiarities of their detection in the premises of the hydroelectric power plant. And an attempt is made to solve the problem of super-early detection of fires and fires in the system under consideration. The theoretical and methodological foundations for predicting the probability of fires depending on the operating modes of systems, devices and equipment and a compiled model of a fire hazard monitoring system are given.

Publisher

IOP Publishing

Subject

General Medicine

Reference24 articles.

1. A multiple criteria decision-making framework for evaluating oxygen reduction systems’ use;Stefana;Proceedings of the Summer School Francesco Turco,2019

2. Fire safety engineering and risk-based tunnel safety design approach,” in Tunnels and Underground Cities: Engineering and Innovation meet Archaeology;Giua,2019

3. On the improvement of fire safety system for the objects with mass stay of people;Fomin;Bezop. Tr. v Promyshlennosti,2019

4. A Fire-Detection and Control System in Automobiles: Implementing a Design That Uses Fuzzy Logic to Anticipate and Respond;Sowah;IEEE Ind. Appl. Mag.,2019

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3