摘要
为研究火炮和操作人员的相容性,充分发挥其作战效能,提出了一种穿戴式火炮人机工效测试评估方法,采用心率、血氧饱和度、皮温、操作力峰值和操作力上升时间作为疲劳状态评估参数,建立了基于增加动量项及自适应学习率BP神经网络的疲劳评估模型。基于STM32芯片设计了火炮人机工效评估数据采集系统,基于Android系统设计了上位机软件,分别测量生理参数、人机交互参数和环境参数,并通过WiFi实时传输至安卓手机终端进行疲劳判断和环境状况监测。进行了火炮操作人员军事作业模拟实验,结果表明,该方法对火炮操作人员疲劳评估的准确率可达89.5%,能够有效进行疲劳评估,为改善火炮人机工效、提高武器装备可持续作战能力奠定了基础。
In order to study the compatibility between the artillery and the operator and fully give play to its combat effectiveness,a method of man-machine ergonomics test and evaluation for wearable artillery was proposed,using heart rate,oxygen saturation,skin temperature,peak operating force and rising time of operating force as fatigue state evaluation parameters,establishing a fatigue evaluation model based on increasing momentum term and adaptive learning rate BP neural network.A artillery ergonomic evaluation data collection system was designed based on the STM32 chip,and the upper computer software was designed based on the Android system to measure physiological parameters,man-machine interaction parameters and environmental parameters respectively,which were transmitted to the Android mobile terminal through WiFi in real time for fatigue judgment and environmental condition monitoring.The military operation simulation experiment of artillery operators was carried out,the results show that the accuracy of this method can reach 89.5%,which is effective for fatigue assessment,lays a foundation for improving man-machine ergonomics of artillery and improving sustainable combat capability of weapons and equipment.
作者
许智熠
狄长安
潘绪仲
王雪珂
许云帆
王希阔
Xu Zhiyi;Di Chang’an;Pan Xuzhong;Wang Xueke;Xu Yunfan;Wang Xikuo(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;Unit 63850 of PLA,Baicheng 137001,China)
出处
《国外电子测量技术》
北大核心
2022年第1期106-112,共7页
Foreign Electronic Measurement Technology
