Estimating Diagnosis Time of Emergency Situations in Digitalized Control Rooms

Abstract

To secure the quality of a human reliability analysis regarding digitalized control rooms, it is necessary to obtain the empirical data of human behaviors in a digitalized environment. As a preliminary study of human performance in digitalized control rooms, we empirically estimated the time for diagnosis of emergency situations. From the full-scope simulators for APR1400, equipped with fully digitalized interface systems, the diagnosis time of human operators were extracted. The operators should follow the procedure of standard post-trip action and identify the causes of the emergency situations using the diagnosis procedure. From the time records including the procedure progression time, the basic statistics of the diagnosis time were produced and the parametric distribution best fitted to the data was derived. From the findings, the operational characteristics of human operators in digitalized control rooms were discussed.