The invention provides a rail transit equipment situation prediction method and device, electronic equipment and a medium, and belongs to the technical field of rail transit, and the method comprises the steps: obtaining an operation data set of target system equipment; extracting target feature data related to the operation state of the target system equipment from the operation data set of the target system equipment; comparing the target feature data with a corresponding preset threshold range, and determining the running state of the target system equipment according to a comparison result; the preset threshold range is determined based on historical operation data of the target system equipment. The method can achieve the accurate prediction of the operation state of the equipment, improves the efficiency and reliability of equipment monitoring, facilitates the reduction of the occurrence frequency of equipment faults and accidents, and improves the operation efficiency and service quality of rail transit.
本发明提供一种轨道交通设备态势预测方法、装置、电子设备及介质,属于轨道交通技术领域,该方法包括:获取目标系统设备的运行数据集;从所述目标系统设备的运行数据集中,提取与所述目标系统设备运行状态相关的目标特征数据;将所述目标特征数据与对应的预设阈值范围进行比较,根据比较结果确定所述目标系统设备的运行状态;所述预设阈值范围是基于所述目标系统设备的历史运行数据确定的。本发明可以实现对设备运行状态的准确预测,提高设备监测的效率和可靠性,有利于降低设备故障和事故的发生频率,提高轨道交通运营效率和服务质量。
Rail transit equipment situation prediction method and device, electronic equipment and medium
轨道交通设备态势预测方法、装置、电子设备及介质
2024-05-14
Patent
Electronic Resource
Chinese
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