Research on Quantitative Assessment Method of Security Guard Capacity in Nuclear Power Plants

Xiaolin Liu, W. Meng, Jianwen Li, Jinfei Zhang
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Abstract

Under current circumstances, the daily training of the security team in nuclear power plant is carried out by the security company providing security services according to the requirements of the power plant security department, followed by manual assessment and authorization among the guards. There are several problems in this process that can be improved: evaluation is highly subjective, difficult to quantify, and difficult to standardize. Based on the principles of objectivity, unity, comprehensiveness and extendibility, this paper proposes an intelligent assessment method for nuclear power plant security guard capability. Firstly, it decomposes single task into core abilities which are aggregated to an ability library based on their corresponding tasks. Secondly, all task scenarios are made into VR test scenarios with core abilities as the test points, and aggregated into test banks. Then use the VR assessment system for automatically issuing, collecting and scoring test papers. Finally, a comprehensive assessment of the tested guard will be released with the combination of the fuzzy comprehensive assessment method. This method not only can increase objectivity and scientificity of assessment but also has extendibility to new job requirements to meet dynamic changes.
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核电站保安能力定量评估方法研究
在目前的情况下,核电站保安队伍的日常培训是由提供保安服务的保安公司根据电厂保安部门的要求进行,然后由保安人员进行人工评估和授权。在这个过程中有几个问题是可以改进的:评价是高度主观的,难以量化,难以标准化。基于客观性、统一性、全面性和可扩展性的原则,提出了一种核电站安全防范能力的智能评估方法。首先,将单个任务分解为核心能力,核心能力根据其对应的任务聚合成能力库;其次,将所有任务场景组成以核心能力为测试点的VR测试场景,聚合成测试库。然后使用虚拟现实评估系统自动发放、收集和评分试卷。最后,结合模糊综合评价法对被测护罩进行综合评价。该方法不仅提高了评估的客观性和科学性,而且具有可扩展性,可适应新的工作需求,以适应动态变化。
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