Elevator fault prediction method based on big data learning
A fault prediction and big data technology, applied in elevators, transportation and packaging, etc., can solve the problems of many equipment monitoring points, long data collection time, high sampling frequency of monitoring points, and achieve the effect of improving accuracy and accurate fault prediction.
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[0039] The present invention will be further described in detail below with reference to the drawings and embodiments.
[0040] 1. The present invention relates to an elevator fault prediction method based on big data learning, see Figure 1-3 , Including the following steps:
[0041] Step 1: Obtain historical big data of elevator operation;
[0042] Step 2: Analyze the feature extraction of elevator operation faults based on big data and use them as training samples;
[0043] Step 3: According to the corresponding relationship between elevator operation characteristic parameters and elevator operation failure causes, establish an elevator operation failure prediction model based on deep convolutional neural network (DCNN)
[0044] Step 4: In the elevator operation process, real-time acquisition of elevator operation big data, and extraction of fault feature information, using the deep convolutional neural network (DCNN) prediction model to make fault prediction.
[0045] The process an...
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