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Laboratory Risk Assessment Based on SHELL-HACCP-Cloud Model

Author

Listed:
  • Xiaoning Zhao

    (College of Information and Electrical Engineering, Hebei University of Engineering Main, Handan 056038, China
    Hebei Key Laboratory of Security Information Sensing and Processing, Handan 056038, China)

  • Zhongcheng Wei

    (College of Information and Electrical Engineering, Hebei University of Engineering Main, Handan 056038, China
    Hebei Key Laboratory of Security Information Sensing and Processing, Handan 056038, China)

  • Yukun Gao

    (School of Chemistry, Beihang University of Aeronautics and Astronautics, Beijing 100191, China)

  • Penggang Yin

    (School of Chemistry, Beihang University of Aeronautics and Astronautics, Beijing 100191, China)

Abstract

With the increasing demand and expanding scale of laboratories in colleges and universities, laboratory accidents frequently occur, seriously impacting personal health, schools, society, and the environment. Scientific and effective risk assessment is crucial to prevent accidents. Therefore, in order to effectively reduce the risk of chemical laboratories and minimize the frequency of accidents. This study employs the combination of the SHELL model and HACCP system to analyze the potential sources of hazards in hazardous chemical laboratories and establish a risk assessment index system. Based on the Cloud model, a dynamic risk assessment model for the laboratory is established to quantitatively evaluate the risk level of the evaluation results. In order to ensure the rationality of the assessment results, the subjective and objective weights are combined by the principle of minimizing information entropy. Case analysis proves the scientific validity of the evaluation results of the model, which can assist laboratory managers in formulating emergency plans and risk management mechanisms to reduce or eliminate the occurrence of experimental accidents. This approach ensures the safe and sustainable development of schools and laboratories, which is conducive to the progress of researchers’ scientific research results.

Suggested Citation

  • Xiaoning Zhao & Zhongcheng Wei & Yukun Gao & Penggang Yin, 2023. "Laboratory Risk Assessment Based on SHELL-HACCP-Cloud Model," Sustainability, MDPI, vol. 15(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16590-:d:1294942
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    References listed on IDEAS

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