The present invention discloses a human-machine interface detection method and system, said human-machine interface detection method including the following steps: identifying, on the basis of an HRC method, risk scenarios for a probability of no response to actions exceeding a predetermined threshold; using a CREAM method in regard to the identified risk scenarios in order to determine the probability of failure, within a risk scenario, of each task or of each action; checking, in order of the probability of failure, a human-machine interface and preset human factor engineering checklist affected by each task or each action, so as to determine whether any human-machine interface units are flawed. The present invention uses a combination of HRC, CREAM and HEC methods to evaluate digitized human-machine interfaces of nuclear power plants, in order to quickly and efficiently detect flawed human-machine interface units within digitized human-machine interfaces, and to find deep-seated design flaws leading to human error, thus improving as a whole the safety of operations of nuclear power plant digital control systems.
HUMAN-MACHINE INTERFACE DETECTION METHOD AND SYSTEM