消防员多模体征传感器信息融合技术研究
Research on information fusion technology of multi-mode physical sign sensors for firefighters
屈天翊 1洪赢政2
作者信息
- 1. 国家消防救援局,北京 100097
- 2. 应急管理部上海消防研究所,上海 200032
- 折叠
摘要
为保障消防员职业安全与健康、提升消防员身体素质和训练效果,开展消防员多体征传感器信息融合技术研究.针对生命体征监测设备易受消防实战训练中的恶劣环境、消防员的大幅度作业运动影响和消防员个人防护装备的干扰,造成采集数据的精度降低,导致采集数据无效或缺失的问题,本文采取多模传感器交叉采集消防员体征指标的设计,利用多模传感器从不同位置对消防员的心电波和脉搏波进行监测,并对采集信号进行小波阈值收缩法和快速滑动均值滤波去噪处理,然后基于数据的离散型和连续型分别开展特征识别和融合.经融合后,在功率自行车、大雨环境、消防员滚轮胎和拖拽假人训练等场景中开展测试,表明多模生命体征监测单元的监测精度和容错能力大幅提升.
Abstract
To ensure the occupational safety and health of firefight-ers,improve their physical fitness and training effectiveness,re-search is being conducted on the fusion technology of multi sign sensor information for firefighters.In response to the problem that vital sign monitoring equipment is susceptible to harsh environ-ments during firefighting training,significant work movements of firefighters,and interference from personal protective equipment of firefighters,resulting in reduced accuracy of data collection and ineffective or missing data collection,this article adopts the de-sign of multi-mode sensor cross collection to monitor firefighter physical sign indicators.Multi-mode sensors are used to monitor firefighter's electrocardiogram and pulse waves from different posi-tions,and the collected signals are denoised using wavelet thresh-old contraction method and fast sliding mean filtering.Then,fea-ture recognition and fusion are carried out based on the discrete and continuous types of data.After integration,tests were con-ducted in several scenarios such as power bicycles,heavy rain en-vironments,firefighter tire rolling,and drag dummy training,in-dicating a significant improvement in the monitoring accuracy and fault tolerance of the multi-mode vital sign monitoring unit.
关键词
消防员职业安全与健康/多传感器信息融合/消防员生命体征/体征监测Key words
firefighters occupational safety and health/multi-sensor information fusion/firefighter vital signs/signs monitoring引用本文复制引用
基金项目
国家重点研发计划课题(2018YFC0807606)
出版年
2024
NETL
NSTL
万方数据