养殖废水处理设施自动化智能化运营与管控

为实现养殖废水处理设施自动化智能化运营与管控，本文以日产废水250 m³的某规模化养殖场废水处理设施为例，通过配置视频监控系统和在线监控设备，并设置预警预报功能，来展示自动化智能化运营与管控效果。实时监控结果表明，污泥浓度、DO、pH值等关键运行参数均控制在合理范围，分别为4 000~7 000 mg·L^-1、1.5 mg·L^-1（一级好氧池）和3~5 mg·L^-1（二级好氧池）、6.5~8.5；两级AO出水水质COD、氨氮均达标，分别为70 mg·L^-1以下和10 mg·L^-1以下，保障了设施运行效果，出水水质稳定达标，规避了环境风险。通过视频监控、在线监测、预警预报等功能，可有效监控废水处理设施每个处理环节运行状态，做到及时发现问题和解决问题，从而提高设施的管控效果和效率，并降低运营人员的投入，有效降低运营费用。实际运营结果表明，废水处理设施实施自动化智能化运营与管控，既能有效提高管控效果和效率，最大程度规避环境风险，又能降低运营成本，从而实现降本增效。

Automatic and intelligent operation of livestock breeding wastewater treatment facilities

To explore the effects of the automated and intelligent operation of livestock breeding wastewater treatment facilities, a large-scale farm wastewater treatment facility with a daily production of 250 m³ of wastewater was investigated in this study. This wastewater treatment facility was equipped with a video surveillance system and online monitoring equipment. It was also equipped with early warning and forecasting functions to show the effect of the automated and intelligent operations. It was found that the sludge concentration, DO, and pH values were all controlled within a reasonable range of 4 000~7 000 mg·L^-1, 1.5 mg·L^-1(first-stage aerobic tank)and 3~5 mg·L^-1 (second-stage aerobic tank), and 6.5~8.5, respectively. The concentrations of COD and ammonia nitrogen in the effluent of the two-stage AO treatment tank were all up to the standard concentrations, that was, lower than 70 mg·L^-1 and 10 mg·L^-1, respectively. This showed that the automated operation of the facility was stable and that the facility could effectively treat wastewater from breeding farms. Through functions such as video monitoring, online monitoring, early warning, and forecasting, the operation status of each wastewater treatment stage could be effectively monitored to detect and solve potential issues on time, thereby improving the efficiency of the facility operation and reducing the input of operators to reduce operating expenses. The actual operation results showed that implementing automation and intelligence in wastewater treatment facilities can effectively improve the overall operation and efficiency, avoid environmental risks to the greatest extent, and reduce operating costs.