The invention relates to the technical field of motion equipment parameter detection, and discloses an elevator detection system based on a mobile phone, which is combined with a sensor provided by an Android mobile phone, utilizes auxiliary measurement equipment, improves the characteristic quantity of acquired data, utilizes a deep learning algorithm, suppresses measurement noise and processes multi-dimensional data. And the accuracy defect of the sensor is made up by utilizing an algorithm, the measurement accuracy is improved, and a measurement result is given. According to the elevator detection system, data features of multiple dimensions can be synthesized by using an Android mobile phone sensor, a PCA feature detection algorithm and an RNN recurrent neural network, whether an elevator has problems or not is comprehensively judged, real-time communication with an elevator detection intelligent system can be achieved, and commanding by professionals can be achieved; extra equipment is not needed, and the cost requirement for elevator detection can be lowered; detection result deviation caused by technical ability difference of detection personnel can be avoided, elevator detection can be conveniently achieved, and elevator faults can be found in time.
本发明涉及运动设备参数检测技术领域,且公开了一种基于手机的电梯检测系统,结合安卓手机提供的传感器,利用辅助测量设备,提高采集数据的特征数量,利用深度学习算法,抑制测量噪声,处理多维数据,进而得出能够代表电梯运行状况的数据,利用算法弥补传感器精度缺陷,提高测量准确性,给出测量结果。该电梯检测系统,利用安卓手机传感器、PCA特征检测算法、RNN循环神经网络能够综合多个维度的数据特征,综合判断电梯是否有问题,能够与电梯检测智慧系统实时沟通,能够做到专业人员指挥;无需额外设备,能够降低检测电梯的成本要求;能够避免检测人员技术能力差异而导致的检测结果偏差,能够方便地实现电梯检测,及时发现电梯故障。
Elevator detection system based on mobile phone
一种基于手机的电梯检测系统
2023-08-22
Patent
Electronic Resource
Chinese
IPC: | B66B Aufzüge , ELEVATORS |
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