Therories Research Of Soft Measurement Based On Multi-Modle And Its Application In Methanol Production

This project is sponsored by Inner Mongolia Boyuan Joint Chemical Co., Ltd. soft measurement system development of methanol project. Some researches have been done on the soft measurement of conversion rate in conversion process of methanol production. Particle Swarm Optimization algorithm is applied in multi-model soft measurement by weighted strategy.Based on the research platform of the methanol project, generate researches have been done in soft measurement area to find effective schemes to solve the soft measurement problems in practice.Firstly, the architecture of soft measurement system and its key technologies are reviewed. By studying some typical model methods, the improved multi-model algorithms have been proposed and used in soft measurement. In order to improve the approximation accuracy, this algorithm uses FCM clusting of the training data at first, and then trains each dataset to gain the sub-model by an improved RBF Network. In order to avoid getting into local optimum and improve the global optimization ability, a improved multi-model based on PSO Weighted, is proposed to solve and improve the algorithm convergence speed and global optimization efficiency, as well as to avoid the high system resource cost.Secondly, the algorithm is used for the prediction of conversion rate in conversion process of methanol production.The comparisons with a single model and multi-model based on probability weighted show that the soft measurement, proposed in the paper, can approach the expected result effectively, and can also improve the prediction precision.Finally, Delphi, Matlab and OPC techonologies are used to develop a soft measurement system which is implemented in methanol project.Practical engineering tests show that the algorithm proposed in this paper can realize the prediction more reliability, accurately and effectively, under the preconditions of guaranteeing real-time ability and reliable of system operation.Besides, the success of the project the system not only can saves the survey cost, but also can increase the economic efficiency of enterprises.