The invention discloses an elevator accident prediction method and device, a medium and a product, and relates to the field of elevator accident prediction.The method comprises the steps that working parameters of a to-be-detected elevator are obtained; the working parameters comprise an operation parameter, a management parameter and a riding parameter; inputting the working parameters into an elevator accident prediction model to obtain a fault occurrence probability corresponding to the to-be-detected elevator; the elevator accident prediction model is a deep learning network; when the fault occurrence probability exceeds a preset threshold value, the elevator accident type is determined according to the fault occurrence probability; the elevator accident type serves as a target variable, and each working parameter serves as a characteristic variable; respectively calculating standardized mutual information values of the target variable and each characteristic variable, and determining a maximum standardized mutual information value; and determining a to-be-optimized fault combination according to the maximum standardized mutual information value. According to the invention, the elevator accident can be accurately predicted.
本发明公开了一种电梯事故预测方法、设备、介质及产品,涉及电梯事故预测领域,该方法包括:获取待测电梯的工作参数;所述工作参数包括:运行参数、管理参数和乘坐参数;将所述工作参数输入电梯事故预测模型,得到待测电梯对应的故障发生概率;所述电梯事故预测模型为深度学习网络;当所述故障发生概率超过预设阈值时,根据所述故障发生概率,确定电梯事故类型;将所述电梯事故类型作为目标变量,每一所述工作参数作为特征变量;分别计算所述目标变量与每一所述特征变量的标准化互信息值,确定最大标准化互信息值;根据所述最大标准化互信息值,确定待优化故障组合。本发明可对电梯事故进行准确预测。
Elevator accident prediction method, equipment, medium and product
一种电梯事故预测方法、设备、介质及产品
2024-12-31
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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