Research On Human Error Analysis In The Simulated Main Control Room Of Nuclear Power Plant Based On EEG Technology

With the digital development of the control system in the main control room of nuclear power plant(NPP),the reliability of the equipment of nuclear power plant is constantly improved.While the operating environment is constantly improving,the proportion of errors caused by operators themselves has increased,which poses risks to the safe operation of nuclear power plant.Therefore,it is particularly important to analyze the human errors of operators.In this thesis,the digital operation interface of the NPP main control room were simulated,three monitoring tasks were designed to judge whether the switch was in normal open state,whether the device was in this interface,or whether the parameters were normal,respectively,and the EEG signals and the behavioral data of the experimental subjects during the three tasks are collected.After the preprocessing of the collected EEG data and behavioral data,the binary brain function network was constructed based on the cross-correlation method and the behavioral data was analyzed.The results showed that the number of connected edges in the binary brain function network of the system failure stimulation was significantly higher than that of the system normal stimulation,mainly in the frontal area and the occipital area.And under three different task stimulations,the connection complexity of the brain function network of parameter stimulation item is higher than that of the switch stimulation item and the device stimulation item.From the analyzing of the EEG information graphs of node degree and clustering coefficient,it is found that the high node degree and high clustering coefficient points under different task stimulation are mostly located in the frontal lobe area and occipital lobe area,which proves that the frontal area and the occipital lobe of the brain are the main brain areas where the operator performs the monitoring operation.Furthermore,the representative electrode was selected to study the ERP components under different task stimulations.It is found that the average amplitude of the P300 component of the parameter stimulus is the largest under the three task stimulations,and it was significantly different from the other two stimulations.The results of this study can provide a theoretical basis for the improvement of the human-computer interaction interface of the nuclear power plant main control room,and can also strengthen the training of operational monitoring personnel in a targeted manner,and prevent human error in advance by taking appropriate measures.