The invention provides an
elevator health state monitoring and fault prediction method and
system, a medium and a product. According to the method, a
system server firstly obtains running state information and
sensing data of all parts of an
elevator door, then the deviation degree of the running state information of all the parts of the
elevator and a running standard value is calculated to obtain a first health
value set, and quantitative evaluation of the health conditions of the parts is preliminarily completed. And then, the
system server recognizes an abnormal event from the
sensing data, the system
server obtains the current running state information of each component when the elevator door reaches a
stable state after the abnormal event, and the health value is updated by calculating the state change rate, so that the
health assessment can dynamically reflect the influence of an emergency on the component. And the system server calculates the attenuation trend of the health value of each part based on the
time sequence data of the updated health value, and predicts the time when the elevator door possibly breaks down in combination with a preset fault threshold value. According to the method, the timeliness of elevator door health monitoring and the accuracy of fault prediction are effectively improved.