斜板沉淀池优化设计研究

Optimal Design of Plated Sedimentation Tank

对异向流斜板沉淀池进行优化设计研究,使其在满足沉淀效率及水力条件的情况下,沉淀池的建设费用最小.运用BP网络对已知的斜板沉淀池费用进行函数逼近,结合回归正交设计方法建立沉淀池的费用函数,以费用最小作为优化模型的目标函数,进而建立沉淀池的优化设计模型,运用连续型的Hopfield网络对模型进行优化求解.通过实例验证得出的设计方案是经济可行的.

The optimal design of plated upflow sedimentation tank was studied in this paper, and the aim of optimazation was to obtain the least building cost meeting some efficiency and the hydrolic condition . By BP neural network perfoming nonlinear mapping to the cost data and combining regression orthogonal design, the plated,upflow sedimentation tank cost function was set up, so the objective of the optimal model was provided, further the integrate optimal design model was set up. The continuous Hopfield network optimal computation theory is applied to make caculation in this paper. It was tested that the obtained design was feasible and economical by an example.