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核应急辐射监测系统作业效能评估

         

摘要

为使核应急辐射监测系统性能指标考核评估结果能全面、准确地反映系统在实际作业场所中的作业能力,依据核应急辐射监测作业保障特点,构建了核应急辐射监测系统作业指标体系,并在此基础上提出采用"记号"的表达方式改进美国工业界武器系统效能咨询委员会提出的用于评估可靠性、可用性和能力的系统效能评估模型(Availability-Dependability-Capability-Model, ADC模型),使其评估结果不仅能定量地反映核应急辐射监测系统在作业过程中不同设备完成同一任务的总体效能,以及不同设备对总体效能的贡献,而且还能定量地反映核应急辐射监测系统中不同设备完成不同任务的作业效能.%Background: Currently, nuclear emergency radiation monitoring system (NERMS) contains a wide range of equipments of different performance. The operational effectiveness of NERMS can only be judged by its technical performance or through operational exercises under assumed environmental condition. However, such judgement of NERMS's operational effectiveness can neither reflect the influence of the real environmental conditions to the NERMS, nor verify the particular contribution of different models of the same category to the operational effectiveness. While the Availability Dependability Capability (ADC) model developed by the Weapon System Effectiveness Industry Advisory Committee (WSEIAC) is widely used for quantitative evaluations of weapon systems, it is suitable only for evaluation of individual equipment rather than the whole system. And the ADC model can not reflect the influence of operational environmental conditions.Purpose: This study aims to propose a novel method for the evaluation of NERMS which is adaptable to the real operational environment.Methods: The evaluation of NERMS is divided into two parts, one is the system design capability, and the other is its adaptability to the real operational environment. The integrated evaluation index system of NERMS is constructed. And the ADC model is improved by using 'mark' expression.Results: The result of the evaluation can quantitatively reflect not only the total operational effectiveness of NERMS's multiple different equipment on the same task and the contribution of NERMS's particular equipment to the total operational effectiveness, but also the operational effectiveness of NERMS's different equipment on different tasks.Conclusion: The model proposed in this paper may serve as a reference for developing and improving NERMS.

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