Energy Saving Optimization of Water Pumping Station Based on Semantic Web and Ontology Reasoning

Abstract

In order to save energy, reduce energy consumption and improve the operation efficiency of pumping stations, a new method of semantic ontology reasoning was designed and applied to the energy saving optimization of a large pumping station. Firstly, the optimal operation model of the water pump station was established to ensure the constraint conditions of the model flow, vane angle and so on. Then the semantic ontology was used to relate the state and properties of pump station state and pump single machine state at the semantic level. At the same time, the inference rules were extracted and the Jena platform was used to reasoning according to the experience data of the history scheduling in the station. The experimental results show that the energy consumption of this method can be reduced by 11.1% compared with not optimal operation. The energy saving effect is remarkable.