为识别数字化人‐机界面中可能诱发人因失误或弱化操纵员绩效的设计缺陷，建立了一种基于HRA的人‐机界面评价方法：HCR＋CREAM＋ HEC。首先，采用 HCR方法从事件整体中识别出失误概率高的风险场景；然后，针对高风险场景采用CREAM 方法确定各种失误模式及其失误概率，并对失误概率进行排序；最后，依据数字化人‐机界面特征建立人因工程检查表，对失误概率高的人‐机界面进行审查，以识别人‐机界面设计中存在的缺陷，并提出改进建议。结果表明，该方法能快速有效地识别出数字化人‐机界面设计中存在的容易诱发人因失误的缺陷，通过设计优化提高核电站数字控制系统运行的安全性。%In order to identify the design flaws of digital man‐machine interface (MMI) that may trigger human errors or weaken the performance of operators ,a HRA‐based method (namely HCR+ CREAM + HEC) for assessing digital MMI was established . Firstly ,the HCR method was used to identify the risk scenarios of high human error probability from the overall event as a whole perspective .Then ,for the identified high‐risk scenarios ,the CREAM was adopted to determine the various error modes and its error probability ,and the failure probability was ranked .Finally ,the human factors engineering checklist of digital MMI was established according to the characteristics of digital MMI ,it was used to check the digital MMI with high error probability in order to identify the design flaws of digital MMI ,and the suggestions of optimization were provided . T he results show that the provided assessment method can quickly and efficiently identify the design flaw s of digital M M I w hich easily trigger human errors , and the safety of operation of the digital control system for nuclear power plants can be enhanced by optimization of design .
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