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Health Monitoring and Management for Manufacturing Workers in Adverse Working Conditions

  • Patient Facing Systems
  • Published:
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Abstract

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.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Nos. 61572220, and 61262013), the Fundamental Research Funds for the Central Universities (No. 2015ZZ079), the Water Resource Science and Technology Innovation Program of Guangdong Province (No. 2016-18), the Natural Science Foundation of Guangdong Province, China (Nos. 2016 A030313734 and 2016 A030313735), and the Quality Project of Guangdong Province Office of Education (No. 2016-135).

Author information

Authors and Affiliations

  1. Guangdong Mechanical & Electrical College, Guangzhou, China

    Xiaoya Xu

  2. Guangdong University of Education, Guangzhou, China

    Miao Zhong

  3. School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, China

    Jiafu Wan

  4. School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China

    Minglun Yi

  5. North Information Control Group Company Limited, Nanjing, China

    Tiancheng Gao

Authors
  1. Xiaoya Xu
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  2. Miao Zhong
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  3. Jiafu Wan
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  4. Minglun Yi
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  5. Tiancheng Gao
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Corresponding author

Correspondence to Miao Zhong.

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This article is part of the Topical Collection on Patient Facing Systems

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Xu, X., Zhong, M., Wan, J. et al. Health Monitoring and Management for Manufacturing Workers in Adverse Working Conditions. J Med Syst 40, 222 (2016). https://doi.org/10.1007/s10916-016-0584-4

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  • DOI: https://doi.org/10.1007/s10916-016-0584-4

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