MES system data online filling method and system based on LSTM network

The invention discloses an MES system data online filling method and system based on an LSTM network, and the method comprises the steps: obtaining an LSTM network data prediction model which is a trained LSTM network model; when the field data is not received at the current moment T, inputting time series data [XT-1, XT-2,..., XT-j,..., XT-N] into the LSTM network data prediction model, predicting data information at the current moment T online, wherein j is equal to 1, 2,..., N, XTj is data information of j time steps before the data information XT at the current moment; and when the field data is rreceived in the current time period T, carrying out online training and updating on the LSTM network data prediction model by taking the time series data [XT-1, XT-2,..., XT-j,..., XT-N] as input and taking the field data received at the current time T as a label. According to the method, online data filling is realized, and meanwhile, the data filling accuracy is guaranteed. 本发明公开了一种基于LSTM网络的MES系统数据在线填补方法及系统，该方法