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考虑了系统运行目标的不唯一性(考虑出水浊度、CODMn和费用3个运行目标),根据模糊优化思路,把多目标优化转化为单目标综合优化,利用遗传算法的高效搜索性能,对可控参数进行编码、译码、计算适应值函数,求取满足常规系统出水水质约束的模糊较优控制参数组合(包括7项可变运行参数).优化结果表明不同原水水质条件下均对应有不同的运行条件和参数;混凝剂和预氧化剂种类及投量之间均存在一定的配比关系,合适的配比不但可以提高出水水质还可以减少运行费用.
Considering the non-uniqueness of the system operation target (considering the turbidity of the effluent, CODMn and the cost of the three operational objectives), according to the fuzzy optimization idea, the multi-objective optimization is transformed into a single objective comprehensive optimization. By using the efficient search performance of genetic algorithm, Control parameters, coding and decoding, and calculating the fitness function, and obtaining fuzzy optimal control parameters (including 7 variable operating parameters) that meet the constraints of effluent quality of the conventional system. The optimization results show that different raw water quality conditions are different Of the operating conditions and parameters; coagulant and pre-oxidant species and the amount of investment there is a certain relationship between the ratio of the appropriate ratio can not only improve the water quality can also reduce operating costs.