摘要
设计了一个能够实时监测消防服内部温湿度的系统。该系统分为蓝牙手套和智能消防服两部分。将NRF52832蓝牙模块连接4个按键集成在手套中作为蓝牙手套,单手操作按键对智能消防服发出指令。智能消防服中的NRF52832蓝牙模块连接SHT10温湿度传感器感知消防服中空气层的温湿度,并接受蓝牙手套的指令,通过无线模块把要发出的信息传输到消防指挥车里的上位机中。为了减少传感器本身温度测量误差的影响,在经过比较后,选择使用RBF神经网络来对SHT10传感器进行校准,并在上位机软件中调用该网络来提高温度监测的精度。
A system that can monitor the temperature and humidity inside the fire suit in real time is designed.The system is divided into two parts:Bluetooth gloves and intelligent fire-fighting clothing. The NRF52832 Bluetooth modules connect four keys in the glove as a Bluetooth glove, one hand press buttons sends instructions to the smart fire suit. Another NRF52832 Bluetooth module connect SHT10 to perceive the temperature and humidity of the air layer in the fire-fighting clothes and receive the instruction from the glove, the data is transmitted to the upper computer in the fire command car through the wireless module.In order to reduce the measurement error of temperature, RBF neural network is used to calibrate the SHT10 after comparison, and invoke the network in the host computer software to improve the accuracy of temperature monitoring .
作者
孙进
唐虹
张士兵
SUN Jin;TANG Hong;ZHANG Shi-bing(School of Electronics and Information, Nantong University ,Jiangsu Nantong 226019, China;Nantong Research Institute for Advanced Communication Technologies, Jiangsu Nantong 226019, China;School of Textile and Clothing, Nantong University ,Jiangsu Nantong 226019, China)
出处
《消防科学与技术》
CAS
北大核心
2019年第2期256-260,共5页
Fire Science and Technology
基金
江苏省高等学校自然科学研究重大项目(17KJA540001)
南通大学-南通智能信息技术联合研究中心开放课题(KFKT2017B07)
关键词
消防服
监控系统
蓝牙手套
温湿度传感器校准
神经网络
fire- fighting clothing
monitoring system
Bluetoothgloves
calibration of temperature and humidity sensors
neural network
