Elevator maintenance period prediction method and device based on fuzzy evaluation time sequence characteristics

The invention discloses an elevator maintenance period prediction method and device based on fuzzy evaluation time sequence characteristics, and relates to the technical field of elevator maintenance. According to the method, the maintenance period is dynamically adjusted according to the actual operation state of the elevator, excessive maintenance or insufficient maintenance is avoided, the operation cost is reduced, and the resource utilization rate is increased; the fuzzy evaluation fusion time sequence feature model can accurately reflect the elevator health condition, the prediction model can predict the future health evolution trend, and a scientific basis is provided for on-demand maintenance decision making; by predicting the potential fault risk of the elevator, the maintenance work is planned in advance, the sudden fault probability is reduced, the elevator operation safety is guaranteed, and the user satisfaction is improved; the maintenance task list is automatically generated, the maintenance pl