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 ›› 2024, Vol. 43 ›› Issue (5): 730-736.

• • 上一篇    下一篇

基于云端数据分析的共享电单车起火原因分析技术研究

陈克1,2,3, 黄盟1,2,3, 张若蘅1,2,3, 张斌1,2,3, 宋建勋4, 何兵4   

  1. （1. 应急管理部天津消防研究所，天津300381；2. 工业与公共建筑火灾防控技术应急管理部重点试验室，天津 300381；3. 天津市消防安全技术重点实验室，天津 300381；4. 杭州青奇科技有限公司，浙江 杭州 311199）
  • 收稿日期:2024-01-20 修回日期:2024-03-10 出版日期:2024-05-15 发布日期:2024-05-15
  • 作者简介:陈 克，男，应急管理部天津消防研究所副研究员，硕士，主要从事电气火灾和车辆火灾物证鉴定技术研究，天津市西青区富兴路2号，300382，chenke@tfri.com.cn。
  • 基金资助:
    国家重点实验室项目(NVHSKL-202302)

Research on fire causes analysis technology of shared electric bike based on cloud data analysis

Chen Ke1,2,3, Huang Meng1,2,3, Zhang Ruoheng1,2,3, Zhang Bin1,2,3, Song Jianxun4, He Bing4   

  1. (Wuxi Fire and Rescue Division,Jiangsu Wuxi 210039, China)
  • Received:2024-01-20 Revised:2024-03-10 Online:2024-05-15 Published:2024-05-15

摘要： 共享电单车具有运行数据采集和云端记录功能，揭示云端数据随起火部位及引燃模式的变化规律，可为起火原因认定和产品质量管理提供新依据。本文通过明火引燃、动力电池热失控整车燃烧试验和电气线路短路故障试验，研究共享电单车起火燃烧过程中云端数据的V-t曲线特征和变化规律。结果表明：明火及短路会导致数据传输线路断开，整车电压数据出现骤降后快速降至0，电压下降速度可超过500.56 mV/s；动力电池热失控后，整车电压数据出现骤降后缓慢下降，电压下降速度为20.02 mV/s，并在下降过程中出现短期的电压回升现象。开展共享电单车的火灾调查时，可通过调取云端数据分析V-t曲线特征的方法，为起火原因认定工作提供线索。

关键词: 共享电单车, 云端数据, 起火原因, 火灾调查

Abstract: Shared electric bikes are equipped with operation data collection and cloud recording functions, and revealing the laws of how this cloud data changes with the fire location and ignition mode can provide new evidence for the identification of fire cause and product quality management. In this paper, the characteristics and variation rules of V-t curve of the cloud data during the combustion process of shared electric bikes are studied through experiments involving open flame ignition, thermal runaway of the power battery, and electrical circuit short-circuit faults. The results show that: Open flame and short-circuit first cause the data transmission line to be disconnected, and the vehicle's voltage data drops to zero rapidly after diving, with a rate of voltage decline exceeding 500.56 mV/s; After thermal runaway of the power battery, the vehicle's voltage data drops slowly after diving, with a voltage decline rate of 20.02 mV/s, and a short-term voltage rebound phenomenon occurs during the decline; When conducting fire investigation on shared electric bikes, clues for the identification of the cause of fire can be provided by retrieving cloud data and analyzing the V-t curve characteristics.

Key words: shared electric bike, cloud data, fire cause, fire investigation