中文摘要：

构建了一套增氧系统，采用耕水机和微孔曝气增氧机混合增氧的模式，白天通过定时控制以耕水机工作为主，晚上或阴雨天缺氧时以微孔曝气增氧为主。在环境参数不断变化的情况下，为了保持溶解氧的稳定，控制方法采用误差反传的模糊神经网络控制。试验表明，在相同条件下采用混合式增氧控制较传统的叶轮式增氧可节约电能40．6％，提高产量31．9％，最终利润提高136．1％。水质参数测量采用Zigbee通信，通信协议采用优化的低能量自适应分层协议，并根据水体溶解氧测量的实际要求，设置参数测量的软、硬阈值以减少节点数据发送的次数，达到节能和供电电池剩余能量均衡的目的，试验表明优化后的无线传感网络寿命延长了58％。

英文摘要：

The hybrid applications of biofan and micro-porous aerator were adopted. Biofan was mainly used in daytime and micro-porous aerator was mainly used usually at night or in rainy days. With the changing environmental parameters, a fuzzy neural network based on reversed error propagation was applied to maintain the stability of dissolved oxygen. Tests showed that 40.6% energy was saved. The output was increased by 31.9% and the final margin was increased by 136. 1%. Zigbee network was applied in the measurement of water quality parameters. The optimized LEACH communication protocol was used to achieve the purpose of node energy conservation and loss balance. According to the actual measurement of dissolved oxygen requirements, soft and hard threshold parameters were set to reduce sending times of mode data. Tests showed that the lifetime of optimized wireless sensor network was extended by 58%.