Modeling of Phosphoric Acid Reaction Process Driven by Mechanism and Data Fusion
In order to investigate the influence of factors such as phosphorus ore particle size and liquid-solid ratio on the dissolution reaction of phosphorus ore in wet process phosphoric acid reaction tanks,this paper proposes a modeling method based on machine learning data fusion.Firstly,a mechanism model that can characterize the production characteristics of phosphoric acid is established using the lumped parameter method.Secondly,industrial operation data and deep confidence networks are used to obtain unknown state parameters in the model under different operating conditions.And use the Python platform for modeling and simulation,analyze the impact of different liquid solid ratios on the conversion rate of phosphate slurry solution.Simulation shows that the conversion rate of phosphate ore is highest when the liquid-solid ratio in the reaction tank is 10∶1 and the particle size of phosphate ore is 100.This model can provide support for the optimization and control of wet process phosphoric acid production and phosphorus yield.
wet process phosphoric acidreaction tankmechanism modelmachine learningdata fusion
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万方数据
