The invention provides a failure time node prediction method, system and equipment of a high-speed elevator and a medium. The prediction method comprises the steps that historical performance data of the high-speed elevator and a failure rate calculation model of the high-speed elevator are obtained; an improved ForGAN prediction model is constructed; predicting operation parameter prediction data of the high-speed elevator according to the current original data and the verified improved ForGAN prediction model; predicting the predicted failure rate of the high-speed elevator according to the operation parameter prediction data and a failure rate calculation model; and the failure time node of the high-speed elevator is determined according to the predicted failure rate. On the basis of the improved ForGAN prediction model and the failure rate calculation model, the running parameter prediction data and the prediction failure rate of the high-speed elevator are predicted, so that the failure time node when the high-speed elevator fails in the future can be judged according to the prediction failure rate; and then elevator part maintenance is conducted in the time period corresponding to the failure time node, and resource consumption is reduced while failure faults are effectively avoided.
本发明提供了一种高速电梯的失效时间节点预测方法、系统、设备和介质。所述预测方法包括:获取高速电梯的历史性能数据和高速电梯的失效率计算模型;构建改进的ForGAN预测模型;根据当前原始数据和经过验证的改进的ForGAN预测模型预测高速电梯的运行参数预测数据;根据运行参数预测数据和失效率计算模型预测高速电梯的预测失效率;根据预测失效率确定高速电梯的失效时间节点。本发明基于改进的ForGAN预测模型和失效率计算模型,预测高速电梯的运行参数预测数据和预测失效率,从而可以根据预测失效率判断高速电梯在未来发生失效故障的失效时间节点,然后针对该失效时间节点对应的时间段内进行电梯部件维修保养,在有效避免失效故障发生的同时减少资源消耗。
Failure time node prediction method, system and equipment of high-speed elevator and medium
高速电梯的失效时间节点预测方法、系统、设备和介质
2022-12-30
Patent
Elektronische Ressource
Chinesisch
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