首页|基于云端数据分析的共享电单车起火原因分析技术研究

基于云端数据分析的共享电单车起火原因分析技术研究

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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.
Research on fire causes analysis technology of shared electric bike based on cloud data analysis
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 com-bustion process of shared electric bikes are studied through experi-ments involving open flame ignition,thermal runaway of the power battery,and electrical circuit short-circuit faults.The re-sults 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 de-cline exceeding 500.56 mV/s;After thermal runaway of the power battery,the vehicle's voltage data drops slowly after div-ing,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.

shared electric bikecloud datafire causefire investi-gation

陈克、黄盟、张若蘅、张斌、宋建勋、何兵

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应急管理部天津消防研究所,天津 300381

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

天津市消防安全技术重点实验室,天津 300381

杭州青奇科技有限公司,浙江 杭州 311199

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共享电单车 云端数据 起火原因 火灾调查

国家重点实验室项目

NVHSKL-202302

2024

消防科学与技术
中国消防协会

消防科学与技术

CSTPCD北大核心
影响因子:0.846
ISSN:1009-0029
年,卷(期):2024.43(5)
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