The invention discloses an elevator self-diagnosis fault early warning system based on information fusion, which belongs to the technical field of elevator fault diagnosis and comprises an information acquisition subsystem and a data analysis processing subsystem. According to the method, the acceleration and deceleration and vibration in all directions in the elevator running process, the action condition of a brake, the temperature rise condition of the brake, the insufficient braking force condition, the counter-weight over-travel distance and the like are continuously measured, self-learning training is carried out, a model is established, and when abnormal deviation occurs in the comparison result of monitored data and the established model, the abnormal deviation is detected. And the potential safety hazards of the elevator are found and eliminated in time, and the problems that the liability consciousness of safety management personnel is not high, the level of maintenance personnel is insufficient, and the potential safety hazards of the elevator are difficult to find in advance are solved.
本发明公开了一种基于信息融合的电梯自诊断故障预警系统,属于电梯故障诊断技术领域,包括信息采集子系统和数据分析处理子系统。本发明通过连续不间断地测量电梯运行过程的加减速度和各方向振动、制动器的动作情况、制动器的温升情况、制动力不足的情况和对重越程距离等并进行自我学习训练,建立模型,当监测到的数据与所建立模型比对结果出现异常偏离时,立即发送给相关人员进行针对性排查工作,及时发现电梯的安全隐患并消灭,解决安全管理人员责任意识不强、维保人员水平不足、难以提前发现电梯安全隐患的问题。
Elevator self-diagnosis fault early warning system based on information fusion
一种基于信息融合的电梯自诊断故障预警系统
2025-02-11
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
Elevator fault diagnosis and early warning method and system based on Internet of Things
European Patent Office | 2024
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