主管：中华人民共和国应急管理部
主办：应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU
消防科学与技术

消防科学与技术 ›› 2022, Vol. 41 ›› Issue (12): 1640-1643.

• • 上一篇    下一篇

火灾预警系统监测信号漂移和毛刺抑制研究

孙 磊，马 勇，郭东亮，刘建军   

  1. （国网江苏省电力有限公司电力科学研究院，江苏 南京 211103）
  • 出版日期:2022-12-15 发布日期:2022-12-16
  • 作者简介:作者简介：孙 磊（1990- ），男，甘肃庆阳人，国网江苏省电力有限公司电力科学研究院工程师，主要从事储能技术安全应用及电力系统输变电设备状态检修技术研究工作，江苏省南京市江宁区帕威尔路1号，211103。
  • 基金资助:
    国网江苏省电力有限公司资助项目“电化学储能电站火灾智能预警系统及装置”（JF2021023）

Research on monitoring signal drift and burr suppression of intelligent fire warning system

Sun Lei, Ma Yong, Guo Dongliang, Liu Jianjun   

  • Online:2022-12-15 Published:2022-12-16

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摘要： 摘 要：预制舱式磷酸铁锂电池储能电站安全事故会造成严重的经济损失和社会影响，研发火灾预警系统进行及时干预和快速响应，是非常有必要的。基于特征气体（H2、CO）体积分数和BMS温度信号开发了火灾预警系统，但该系统气体探测器监测信号存在毛刺及漂移等异常问题会导致系统误报。经过延时和多探测器数据对比等方式消除了异常问题的影响，应用案例分析验证了该系统的有效性和可靠性。

关键词: 关键词：磷酸铁锂电池储能电站, 火灾预警系统, 气体探测器, 漂移, 毛刺抑制

Abstract: The safety accident of prefabricated cabin type lithium iron phosphate battery power station will cause serious economic losses and social impact. It is very necessary to develop an intelligent fire warning system for timely intervention and rapid response. In this paper, a fire intelligent warning system based on characteristic gas (H2, CO) concentration and BMS temperature signal is developed. However, there are some abnormal problems such as burr and drift in monitoring signal of gas detector, which maybe led to false alarm of the system. The effects of these abnormal problems are eliminated by means of time delay and comparison of monitoring data from multiple detectors, which verified the effectiveness and reliability of the accurate intervention of the fire warning system by the analysis of practical application cases.

Key words: lithium iron phosphate battery power station, fire warning system, gas detector, drift, burr suppression