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对含油污水深度处理双向过渡系统进行自控分析，由于输入输出动态系统的数学模型很难求得，应用数学方法不能求得优化控制目标。因此提出了一种仿人智能优化控制技术。根据优化目标，应用了人的控制经验，模仿人的智能行为，采取系统优化策略，在大庆油田某含油污水深度处理站采用此算法对4种情况进行了考察。实际应用效果表明，仿人智能优化控制具有很强的鲁棒性、适应性和可靠性，控制精度为0．1，满足控制要求，克服了该系统以前控制方法所不能解决的困难。
The self-control analysis of the bi-directional transition system for deep treatment of oil-contaminated water is difficult to obtain due to the mathematical model of the input-output dynamic system. The mathematical control method can not be used to optimize the control target. Therefore, a humanoid intelligent optimization control technology is proposed. According to the optimization goal, human control experience was applied to imitate people’s intelligence behavior, and the system optimization strategy was adopted. Four kinds of conditions were investigated using this algorithm in an oil-water wastewater treatment station in Daqing Oilfield. The practical application shows that the humanoid intelligent optimization control has strong robustness, adaptability and reliability. The control precision is 0.1, which meets the control requirements and overcomes the difficulties that the previous control methods of the system can not solve.