A supervisory expert system based on fuzzy logic rules was developed for diagnosis and controlof a laboratory- scale plant comprising anaerobic digestion and anoxic/aerobic modules for combined highrate biological N and C removal. The design and implementation of a computational environment inLabVIEW for data acquisition, plant operation and distributed equipment control is described. A stepincrease in ammonia concentration from 20 to 60 mg N/L was applied during a trial period of 73 h. Recycleflow rate from the aerobic to the anoxic module and bypass flow rate from the influent directly to the anoxicreactor were the output variables of the fuzzy system. They were automatically changed (from 34 to 111L/day and from 8 to 13 L/day, respectively), when new plant conditions were recognised by the expertsystem. Denitrification efficiency higher than 85% was achieved 30 h after the disturbance and 15 h after thesystem response at an HRT as low as 1.5 h. Nitrification efficiency gradually increased from 12 to 50% at anHRT of 3 h. The system proved to react properly in order to set adequate operating conditions that led totimely and efficient recovery of N and C removal rates.
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机译：开发了一种基于模糊逻辑规则的监督专家系统，用于诊断和控制实验室规模的工厂，该工厂包括厌氧消化和缺氧/好氧模块，可联合去除高效率的生物N和C。描述了在LabVIEW中用于数据采集，工厂操作和分布式设备控制的计算环境的设计和实现。在73小时的试用期内，氨浓度逐步提高了20至60 mg N / L。从有氧模块到缺氧模块的循环流量和从进水直接到缺氧反应器的旁路流量是模糊系统的输出变量。当专家系统识别出新的工厂条件时，它们会自动更改（分别从每天34升至111升和每天8升至13升）。在HRT低至1.5 h时，扰动后30 h和系统响应后15 h，反硝化效率均达到85％以上。在3 h的HRT下，硝化效率逐渐从12％提高到50％。事实证明，该系统可以进行适当的反应，以设置适当的运行条件，从而及时有效地恢复氮和碳的去除率。
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