Traditional control of the air supply to aeration basin 10 of Ruhleben Wastewater Treatment Plant was replaced by knowledge-based control in a study performed from November 2006 to March 2007. In order to perform the experiments, the Intelligent Sensor Array (ISAR©) system was connected to the process control system (PCS) of the plant and with additional sensors at the influent and effluent of the aeration basin. Instead of the preset, constant set points that are traditionally used, the knowledgebased control system uses variable set points that are more optimally adjusted to the specific process situation. Variable set points that match the current measurements and target objectives are extracted as the sum of potentials reflected by the historical knowledge base. ISAR thereby analyzes the influent load and predicts the time-delayed response values in the aeration basin and in the effluent. The basis of control is fuzzy analysis of current measured values and extraction of IF-THEN constructs from process behaviors reflected by data in the knowledge base. The system analyzes the correlations between all process variables and control variations to determine how to adjust the setpoints for parameters influenced by them in order to achieve more optimal process control. As an optimization tool, ISAR© is therefore superior to single variable control systems. The results of the KOCBIT project clearly demonstrated that: - ISAR© correctly reproduces the technological knowledge base; - ISAR© control improves process stability and - ISAR© can generate significant energy savings potentials. The technological minimum requirements and expenditures required for use of the ISAR© system will also be assessed.

Year:

2007

Country:

Germany

City:

Berlin

 

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