班组情景意识（TSA）是复杂合作环境下影响班组决策和绩效的关键要素。核电厂数字化主控室情境环境新特征改变了TSA的机理，使传统TSA分析模型、方法和数据难以满足当前分析的要求。本项目 1）通过TSA的认知网络和影响因素模型研究，发展基于模型的TSA失误分类体系，识别相互影响关系，建立TSA失误-原因影响映射图，揭示TSA失误机理并建立TSA失误分析方法；2）基于大量人因事件报告分析，建立数据驱动的TSA失误因果模型；3）构建更为客观实时的TSA测量技术；4）通过大量模拟机和仿真实验并结合TSA测量技术，识别TSA失误因果模型中各行为形成因子（PSF）对TSA的影响，利用收集的数据，获得模型中各变量的概率分布。在此基础上，构建一种考虑PSF因果关系的动态TSA可靠性分析方法，进行定量风险评价；5）给出TSA可靠性分析的应用范例。项目所建立的TSA可靠性分析技术将提高人因可靠性分析的质量。

Team Situation Awareness (TSA) is a key element that impacts team's decision-making and performance under complex collaborative environment. The new features of context of digital main control room in nuclear power plants make the mechanism of TSA changed, so that it is difficult to meet the requirements of the current analysis using the traditional model, method and data of TSA. 1) The classification system of model-based TSA error is developed by studying the cognitive network and influencing factor model of TSA. Further, the mapping graph of TSA error-cause effect is built based on the identification of mutual influencing relationships. It is used to identify the error mechanism of TSA and establishes a analysis method of TSA error in the project. 2) The data-driven causal model of TSA error is built based on analysis of lots of human factor event reports. 3) The more objective and real-time measure technique of TSA is established. 4) The effects of Performance Shaping Factors (PSF) in the causal model of TSA error on TSA are identified by simulator experiments, emulation experiments and combination with TSA measure techniques. Moreover, the probability distribution of each variable of the established model is identified on the basis of the collected data. According to the results of related above, a dynamic assessment approach of TSA reliability considering the causal relationships between PSF is built to assess the risk of TSA quantitatively; 5) a application example of TSA reliability analysis is provided. The new technique of TSA reliability analysis developed in the project will improve the quality of Human Reliability Analysis (HRA).