Health Monitoring and Management for Manufacturing Workers in Adverse Working Conditions.
In adverse working conditions, environmental parameters such as metallic dust, noise, and environmental temperature, directly affect the health condition of manufacturing workers. It is therefore important to implement health monitoring and management based on important physiological parameters (e.g., heart rate, blood pressure, and body temperature). In recent years, new technologies, such as body area networks, cloud computing, and smart clothing, have allowed the improvement of the quality of services. In this article, we first give five-layer architecture for health monitoring and management of manufacturing workers. Then, we analyze the system implementation process, including environmental data processing, physical condition monitoring and system services and management, and present the corresponding algorithms. Finally, we carry out an evaluation and analysis from the perspective of insurance and compensation for manufacturing workers in adverse working conditions. The proposed scheme will contribute to the improvement of workplace conditions, realize health monitoring and management, and protect the interests of manufacturing workers.
Guangdong Mechanical & Electrical College, Guangzhou, China.
Xiaoya
X
Xu
Guangdong University of Education, Guangzhou, China. miao_zhong@126.com.
Miao
M
Zhong
School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China.
Jiafu
J
Wan
School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China.
Minglun
M
Yi
North Information Control Group Company Limited, Nanjing, China.
Tiancheng
T
Gao
D000465:Algorithms; D000067917:Cloud Computing; D004784:Environmental Monitoring / Q000379:methods*; D006801:Humans; D007221:Industry; D016273:Occupational Exposure / Q000009:adverse effects* / Q000032:analysis*; D059015:Wireless Technology; D017132:Workplace
Body area networks; Cloud computing; Health monitoring and management; Industrial wireless networks