The research of electrical parameters of threshold detectors

Author:

Sharipov Rifat Rashatovich,Yusupov Bulat Zufarovich

Abstract

This research work provides an in-depth analysis of the fire alarm system, considered as a security tool for a variety of facilities, from industrial buildings to residential premises. Two key subsystems serve as the basis for the study: the fire alarm system, which is designed to detect and report the occurrence of fire, and the intrusion alarm system, whose task is to detect attempts at illegal intrusion. For each of these subsystems, their functions and components are investigated, their mechanism of action, principles of operation, and possible implementation options are described, depending on the specific conditions and security requirements. At the same time, emphasis is placed on three types of automatic fire alarm systems: threshold, addressable and addressable-analog, each of which has its own features, advantages and disadvantages. The article goes beyond theoretical analysis and presents the results of a practical study of the three main types of fire alarm systems: wired, wireless and addressable. The study is based on a specially designed training stand, which allows you to simulate the operation of fire alarm systems in conditions as close to reality as possible. The article demonstrates the connection schemes of detectors, explains their states in the "normal" and "alarm" modes. It is noted that the currents and voltages of alarm loops in different modes were measured. Dependency diagrams of these parameters are presented, and the alarm threshold levels are measured. The research presented in the paper provides a valuable contribution to the study and optimization of alarm and fire systems, providing meaningful data for the development and testing of these systems. The paper can be useful for fire and security professionals and those interested in improving the performance of these systems.

Publisher

Aurora Group, s.r.o

Subject

Media Technology

Reference14 articles.

1. Ostretsova N. S. Okhranno-pozharnye sistemy signalizatsii i opoveshcheniya // Tekhnogennaya i prirodnaya bezopasnost'. 2017. S. 306-311.

2. Manilo I. I., Voinkov V. P., Zykov V. I. Avtomatizirovannaya sistema pozharnoi (okhranno-pozharnoi) signalizatsii // BEZOPASNOST'' V TEKhNOSFERE. 2017. S. 78-82.

3. Butsynskaya T. A. Osobennosti sovmestnogo funktsionirovaniya sistem pozharnoi i okhrannoi signalizatsii // Ezhegodnaya mezhdunarodnaya nauchno-tekhnicheskaya konferentsiya Sistemy bezopasnosti. – Federal'noe gosudarstvennoe byudzhetnoe obrazovatel'noe uchrezhdenie vysshego obrazovaniya Akademiya Gosudarstvennoi protivopozharnoi sluzhby Ministerstva Rossiiskoi Federatsii po delam grazhdanskoi oborony, chrezvychainym situatsiyam i likvidatsii posledstvii stikhiinykh bedstvii, 2017. № 26. S. 319-321.

4. Sokolyanskii V. V. Sistemy pozharnoi signalizatsii, ili okhranno-pozharnoi? //Vestnik Akademii grazhdanskoi zashchity. 2018. № 3. S. 15.

5. Chlenov A. N., Klimov A. V., Ryabtsev N. A. Puti povysheniya funktsional'noi nadezhnosti tekhnicheskikh sredstv trevozhnoi signalizatsii dlya ob''ektov vysokoi kategorii znachimosti // Ezhegodnaya mezhdunarodnaya nauchno-tekhnicheskaya konferentsiya Sistemy bezopasnosti. – Federal'noe gosudarstvennoe byudzhetnoe obrazovatel'noe uchrezhdenie vysshego obrazovaniya Akademiya Gosudarstvennoi protivopozharnoi sluzhby Ministerstva Rossiiskoi Federatsii po delam grazhdanskoi oborony, chrezvychainym situatsiyam i likvidatsii posledstvii stikhiinykh bedstvii, 2017. № 26. S. 311-314.

Cited by 1 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

1. Development of video control system training stand;Программные системы и вычислительные методы;2023-04

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