高校实验室安全智能管控系统构建—基于多维度视角的分析

Construction of an Intelligent Safety Management System for University Laboratories – Analysis from Multiple Dimensions

  • 摘要: 本研究聚焦高校实验室安全事故频发与管理效能不足现状,综合运用文献研究、案例分析、实地观察及专家访谈方法,基于事故致因与行为科学理论,创新性提出构建“制度—人员—技术—文化”四维优化模型。实践表明,该模型可降低事故率、缩短响应时间。局限性在于样本集中于西部高校,技术落地需适配不同院校资源条件。借助新技术推进实验室管理智能化,强化高校间合作与国际交流,进一步提升实验室安全管理水平,助力教学科研的高效与安全发展。

     

    Abstract: This study focuses on the frequent occurrence of safety accidents in university laboratories and the insufficient effectiveness of their management. By employing a combination of literature research, case analysis, field observations, and expert interviews, and based on theories of accident causation and behavioral science, an innovative four-dimensional optimization model comprising “system, personnel, technology, and culture” is proposed. Practice has shown that this model can reduce the incidence of accidents and shorten response times. However, the limitations of this model include a sample that is predominantly composed of universities in the western region, and the implementation of the technology must be adapted to the varying resource conditions of different institutions. By leveraging new technologies to enhance the intelligent management of laboratories, and by strengthening cooperation and international exchanges among universities, the level of laboratory safety management can be further improved, thereby supporting the efficient and safe development of teaching and research activities.

     

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