Research On Real-time Sensing And Visual Monitoring System Of The Positive Pressure Biological Protective Clothing Based On The Internet Of Things

For people working in high-risk biological pollution environment,it is required to wear high-level personal protective equipment such as positive pressure biological protective clothing and positive pressure biological protective hood to protect himself from pathogenic microbial infection and ensure personnel life,health and safety.As one of the highest level personal biological protective equipment,positive pressure biological protective clothing is a full-body independent and closed protective system.In addition,due to its heavy weight and limited communication with the outside world,the wearer is prone to increase the work burden and produce heavy psychological load when working in the contaminated area for a long time.At the same time,the positive differential pressure,temperature,humidity,noise,air volume,battery state and other key parameters of the positive pressure biological protective clothing will also directly affect the safety and comfort of protective clothing.Therefore,it is necessary to monitor the micro-environment and running state of protective clothing in real time.By using sensor technology,long-distance wireless communication technology,We Chat Mini Program development technology and other advanced technology,designed and implemented the real-time sensing and visual monitoring system of the positive pressure biological protective clothing based on the Internet of Things,so as to strengthen the information interaction ability between the operators wearing positive pressure protective clothing in front and the rear control center,improve the safety protection and scientific regulatory capacity of positive pressure biological protective clothing.The requirements analysis of the real-time sensing and visual monitoring system of positive pressure biological protective clothing based on the Internet of Things was carried out.Based on the existing electric air supply filter positive pressure biological protective suit in the laboratory,the overall framework of the system is designed as a three-layer structure of sensing node,server and client by referring to relevant literature and learning the technical route of the Internet of Things.The key parameters affecting the safety and comfort of protective clothing were determined as micro-environment monitoring parameters such as pressure,temperature,humidity,noise and carbon dioxide content,and dynamic air supply operation parameters such as air volume,battery power and geographical location.The normal threshold of each parameter were determined,and the relevant parameter sensors were investigated and selected.Real-time sensing and visual monitoring system of the positive pressure biological protective clothing based on the Internet of Things was designed and implemented.The sensing node of the system was divided into micro-environment parameter detection module and power air supply control module.The circuit design and modular integration of each parameter sensor were carried out by using sensor technology,and the operation parameters of protective clothing and internal micro-environment parameter information were collected respectively.Wireless data transmission between modules was carried out by Bluetooth.For the system server,the Internet of Things cloud platform and MySQL database were built with the help of the Internet of Things open platform of China TELECOM,and the collection parameters of the sensing node were uploaded to the Internet of Things cloud platform for unified management and storage through the Internet of Things technology.The software requirements analysis and modeling were carried out on the system client,and the main functional modules of the real-time sensing and visual monitoring We Chat Mini Program were divided into user login module,real-time parameter visual monitoring module,historical data query module and information management module.With the development technology of We Chat Mini Program,Vue.js was used to build the front-end framework of We Chat Mini Program.Django was used to realize the background management of We Chat Mini Program.Rest Framework was used to separate the front and rear functions of applets.And HTTP protocol was carried out to connect the front and rear and transmit data to realize the visual display of data of mobile intelligent terminal.The real-time sensing and visual monitoring system of the positive pressure biological protective clothing based on the Internet of Things was tested and verified.A test environment was built,and test scheme was designed in advance.JMeter automated testing tool was used to simulate the real machine running system on We Chat developer tools to test non-functional modules such as performance,pressure,interface,compatibility,availability.The developed positive pressure protective clothing equipped with real-time sensing and visual monitoring system were worn in the real environment,and real-time and synchronous monitoring on four wearers in the same room,adjacent rooms,with a distance of 500 m and a distance of 1000 m were conducted respectively.36 groups of effective data were collected under the condition of normal conditions,abnormal network,high temperature,high humidity,low pressure,high noise,high carbon dioxide content,low air volume and low power.There were no delay and error code between the results and actual values,which verified the real-time data display and abnormal alarm function of the system,and realized the goal of front perception and rear visualization.As a high-level personal protective equipment,positive pressure biological protective clothing is facing a complex,changeable and extremely dangerous working environment.Therefore,with high risk and low fault tolerance,it is particularly important to perceive and monitor its state.The Internet of Things technology is used to realize the real-time visual monitoring of the front-end wearer and back-end commander of the key operating parameters of positive pressure biological protective clothing and the real-time perception in case of abnormality.It has strong practicability and popularization value for timely discovering risks and taking measures to ensure operation safety and personnel safety.