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In this paper, we take characteristics of wastewater treatment and process technology, drawing on the effectiveness of thetraditional PID control and on the basis of its lack, with the key steps in the sewage treatment process - Aeration control of part of the process parameters, Fuzzy neural network control of dissolved oxygen concentration (DO) to achieve negative feedback control loop,design a model-based closed-loop cascade control system. Fuzzy systems, membership function, the structure of the network topology and algorithms are based on the actual issues identified in the fuzzy variables. Aiming at the four parts of the fuzzy control, adopting four fuzzy neural network based on the standard model - the input layer, Fuzzy layer,Inference layer,Clear layer are corresponding with it. Standing on two points: the dissolved oxygen concentration control and the rate of change from the error ,then design the Fuzzy neural network controller. Then the fuzzy neural network control technology could be used in wastewater treatment on the specific application of process control.

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Based on the Excel software , we have studied the Numeric computations and quantitative research of the easy balance to distill for the distillation process, we could use Excel to achieve the calculation in five cases about the ideal system of two-component foam and flash of dew point problems.Also we could analyze the impact of reduced pressure on its equilibrium. Calculations show that Pressure-relief can greatly reduce the bubble and the dew point of the Ethyl Benzene - Styrene Mixtures , but the relative volatility increases little, having little effects on the degree of difficulty of separation.In vacuum distillation, the relative volatility α with the liquid phase mole fraction x changes almost nothing. We can also confirme that Excel has the versatility, which is simple and easy to master.It’s own library functions can be used the power of simple programming,in iterative calculations and data fitting, etc. which is of the complex chemical process.