SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE CONTROL OF SEWAGE WASTE WATER TREATMENT BY NEURAL NETWORK AND INVERSION WAVE ALGORITHM

摘要

PPROBLEM TO BE SOLVED: To provide an artificial intelligence control method for automatically controlling variable factors, such as dissolved oxygen and microorganism residence time. PSOLUTION: The target values of the dissolved oxygen quantity, microorganism residence time, etc., of an aerobic vessel 1 step and aerobic vessel 2 step which are control factors are determined by applying the residence time considering the volume of respective reaction chambers and settling chambers which are fixed factors to be applied in the initial period of designing through the data obtained by automatically measuring the biological oxygen demand, inflow flow rate, and water temperature which are floating design factors flowing into a sewage treatment plant through combined sewage conduits. An optimum knowledge base is formed by collecting the knowledge of existing specialists by an automatic control method for a valve for controlling supply air and a sludge discharging pump through the current values. The artificial intelligence (neurocontroller) is made to learn by using such knowledge base, and the learning method for controlling the excess sludge by setting the concentration of the dissolved oxygen corresponding to a change in temperature, a change in concentration, etc., and calculating an adequate SRT and the algorithm for control are used. PCOPYRIGHT: (C)2004,JPO