数字化核电厂班组SSA测度方法与实验研究

情景意识(SA)问题在数字化核电厂中更为突出。为识别班组共享情景意识（SSA）水平及行为形成因子（PSF）对班组SSA的影响，基于情景意识全面评估技术（SAGAT）建立一种班组SSA测量和计算方法并进行模拟机实验。结果表明，个体SA（ISA）水平与SSA水平有关，ISA级别越高，SSA级别越高；ISA和班组SSA都受到PSF的影响，PSF的状态水平越高，ISA和SSA的水平越高；对于不同的实验场景，操纵员的ISA水平和班组SSA水平不同，这表明风险场景的症状越明显及知识经验水平越好，ISA和SSA水平就越高。最后，通过被试的自评价识别当前PSF的状态水平，主要不良的PSF是班组沟通和合作水平、压力水平、人-机界面等。这些评估结果为提高数字化核电厂人因可靠性和安全水平提供了理论支持。

Study on Measurement Method and Experiment of Team SSA in Digital Nuclear Power Plant

Situation awareness (SA) issues are more prominent in digital nuclear power plants (NPPs). In order to identify the levels of team shared situation awareness (SSA) and the effects of performance shaping factors (PSFs) on SSA, a measurement and calculation method of team SSA was established based on the situation awareness global assessment technique (SAGAT) and simulator experiments were carried out. The experimental results show that the individual SA (ISA) level is related to the SSA level. The higher the ISA level is, the higher the SSA level is. Both ISA and team SSA are influenced by PSFs, the higher the state levels of PSFs are, the higher the levels of ISA and SSA are. For different experimental scenarios, the ISA level of operators and team SSA level are different, which means that the more obvious symptoms of the risky scenarios are, and the higher knowledge and experience level is, the relatively higher ISA and SSA levels are. Finally, the state levels of PSFs are identified by self-evaluation, and the main poor PSFs are team communication and cooperation level, pressure level, and human-machine interface etc. These assessment results provide a theoretical support for improving human reliability and safety level in digital NPPs.