ENERGY-SAVING PREDICTION SYSTEM AND METHOD BASED ON DIAGNOSIS OF STATE OF ENERGY CONSUMPTION IN SEWAGE TREATMENT PLANT

摘要

The present invention relates to an energy-saving prediction system and method based on the diagnosis of the state of energy consumption in a sewage treatment plant. More particularly, the present invention relates to an energy-saving prediction system and method based on the diagnosis of the state of energy consumption in a sewage treatment plant which are capable of: performing qualitative state diagnosis on energy consumption caused by operating equipment, such as a pump and blower, essential for operating the sewage treatment plant; providing a set value for an operating condition which allows energy saving according to the diagnosis resu confirming in advance a consequent decrease in the amount of energy used; and thereby providing a practical operational set value for energy use reduction. Provided according to the present invention is an energy-saving prediction system based on the diagnosis of the state of energy consumption in a sewage treatment plant, the system comprising: a data calling unit for calling data required for the diagnosis of the state of energy consumption from a database for storing influent/effluent water quality data and process operating data on the sewage treatment plant; an energy consumption state diagnosis unit for receiving the data called by the data calling unit, applying a multivariate statistical analysis technique to the called data, extracting information on the state of energy consumption inherent in the called data, and deriving a diagnosis result on the state of energy consumption from the extracted information on the state of energy consumption; an energy-saving operating condition calling unit for calling a preset operating condition which allows energy saving according to the group which indicates the diagnosis result derived by the energy consumption state diagnosis unit; an energy consumption reduction prediction unit for applying a polynomial regression analysis technique according to the operating condition called by the energy-saving operating condition calling unit and for predicting the amount of energy saved; and an energy-saving operating condition application unit for applying the operating condition predicted by the energy consumption reduction prediction unit to the actuator, including a pump and blower, of the sewage treatment plant.