基于多参数体征监测的救援人员安全状况实时评估系统研究  

Research on real-time assessment system for safety status of rescue personnel based on multi-parameter vital sign monitoring

作　　者：李文杰[1] 陈长坤[1] 张健[1] 林子达 LI Wenjie;CHEN Changkun;ZHANG Jian;LIN Zida(Institute of Disaster Prevention Science and Safety Technology,Central South University,Changsha Hunan 410018,China)

机构地区：[1]中南大学防灾科学与安全技术研究所,湖南长沙410018

出　　处：《中国安全生产科学技术》2025年第3期21-26,共6页Journal of Safety Science and Technology

基　　金：国家重点研发计划项目(2021YFC3090403);中远海运集团资助专项(2024-3-Z002-13)。

摘　　要：为提高救援人员在救援过程中的安全性,提出1种基于多参数体征监测的救援人员安全状况实时评估系统。在硬件部分,系统采用物联网技术,通过ESP32通信芯片控制器为核心,集成DS18B20体温模块、MAX30102心率血氧模块、S1216F8-BD北斗定位模块和LD2410C雷达模块;软件部分包括数据采集、数据传输、数据管理与分析、交互界面与功能以及警报与响应系统。此外,系统设计基于频域变换的心率血氧运动噪声去除算法,以提高监测数据精准性。通过模拟救援人员在6种不同运动状态下的数据集评估算法性能,控制平均相对误差在4%以内;并基于多参数体征监测的救援人员安全状态预警分析模型,利用人体安全状态医学数据库数据构建智能监测预警算法。研究结果表明:系统可实现对救援人员体温、心率、血氧、运动状态和地理位置的实时监测,并能保证较高的监测数据精准性,同时能够对救援人员的安全状况进行分级评估,并作出预警处理。研究结果可为提高救援人员在复杂救援环境中的安全保障和救援效率提供参考。To enhance the safety of rescue personnel during the rescue process,a real-time assessment system for the safety status of rescue personnel based on multi-parameter vital sign monitoring was proposed.In the hardware part,the system adopted the Internet of things technology,took the ESP32 communication chip controller as the core,and integrated the DS18B20 body temperature module,MAX30102 heart rate and blood oxygen module,S1216F8-BD Beidou positioning module and LD2410C radar module.The software part included the data acquisition,data transmission,data management and analysis,interactive interface and functionality,as well as alarm and response systems.Additionally,the system designed an exercise noise removal algorithm of heart rate and blood oxygen based on the frequency domain transformation to improve the accuracy of monitoring data.The performance of this algorithm was evaluated by simulating the datasets of rescue personnel in six different exercise states,and the average relative error was controlled within 4%.Based on the early warning analysis model of the safety status of rescue personnel based on multi-parameter vital sign monitoring,an intelligent monitoring and early warning algorithm was constructed by using the medical database data of human safety status.The results show that the system can realize the real-time monitoring of body temperature,heart rate,blood oxygen,exercise state and geographical location of rescue personnel,and can ensure the high accuracy of monitoring data.At the same time,it can conduct the grading assessment on the safety status of rescue personnel and make early warning treatment.The research results can provide reference for improving the safety and rescue efficiency of rescuers in complex rescue environments.

关 键 词：多参数 救援人员 安全状况 实时评估 

分 类 号：X924.4[环境科学与工程—安全科学]