Prediction of TVOC concentration in museum scripture libraries based on ARIMA-SVM model

In order to meet the need of preventive protection of cultural relics, the TVOC concentration of a museums scripture library is predicted and studied by the ARIMA model and the ARIMA-SVM model, respectively. The prediction results show that the ARIMA-SVM model has high accuracy and can better predict the trend of TVOC concentration series. The MAE, MAPE and RMSE based on the ARIMA-SVM combined forecasting method are 0.001 5×10-6, 0.000 5 and 0.005 5×10-6, respectively. This confirms the feasibility of the ARIMA-SVM model in the prediction of the TVOC concentration of the museum, which can provide a scientific basis for the environmental regulation of the scripture library.