Research on the prediction model of environmental artificial intelligence

In order to solve the problems of large data volume, high precision of data processing, unfixed research factors of data prediction model, low applicability of model and complicated prediction data types in big data environment, an object-oriented artificial intelligence prediction model is proposed. The environmental model was established by the research object, the environmental component factors were predicted, the correlation index between the component factors was analyzed, and finally the correlation index was used to determine whether the factor was the model component condition. The comparison between single model and multi-model prediction results shows that a single model can make predictions, but there are errors. The multi-model prediction results show the deficiencies in error processing. Finally, the analysis of environmental data proves the correlation of the existence of correlation factors. The research verifies the feasibility of establishing an environment-oriented prediction model and provides some development ideas for the intelligent model.