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 plan making process is simplified, the maintenance work efficiency is improved, and centralized monitoring and scheduling are facilitated for elevator managers.
本发明公开一种基于模糊评价时序特征的电梯维保周期预测方法及装置,涉及电梯维护保养技术领域。本发明方法根据电梯实际运行状态动态调整维保周期,避免过度维护或维护不足,降低运营成本,提高资源利用率;模糊评价融合时序特征模型能够准确反映电梯健康状况,预测模型能够预测未来健康演变趋势,为按需维保决策提供科学依据;通过预测电梯潜在故障风险,提前规划维保工作,降低突发故障概率,保障电梯运行安全,提升用户满意度;自动化生成维保任务单,简化维保计划制定过程,提高维保工作效率,便于电梯管理人员进行集中监控和调度。
Elevator maintenance period prediction method and device based on fuzzy evaluation time sequence characteristics
基于模糊评价时序特征的电梯维保周期预测方法及装置
20.09.2024
Patent
Elektronische Ressource
Chinesisch
IPC: | B66B Aufzüge , ELEVATORS |
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