Research Progress in Application of Artificial Neural Network in Petrochemical Industry
The petrochemical industry system is huge and complex, and the stability, safety, energy saving and environmental protection of its production process equipment are very important. The artificial neural network based on data-driven can deal with the complex high-dimensional and nonlinear data in the production process, so as to solve the problems in the actual production process through modeling. In this paper, the development process and basic principle of artificial neural network were introduced, the application of artificial neural network in product prediction and operation optimization, equipment fault diagnosis, safety early warning, energy saving and emission reduction of petrochemical plant was summarized, and it was pointed out that continuous optimization and research and development of more in-depth neural network model should be a direction of future work.
NETL
NSTL
万方数据
