Yuechao Wu, Zhaohui Li, Bailin Li, Fanwu Chu, and Xiaolong Cui
Smart power station, integrated monitoring, vibration, selectivestorage, team intelligence, cooperation
Vibration monitoring is the most important module of an integrated monitoring system of hydroelectric generating sets (HGSs) due to the fact that most faults of HGSs are reflected in the form of vibration. To improve the vibration monitoring ability of the integrated monitoring system of HGSs, a novel integrated monitoring approach based on team intelligence is proposed in this paper. The monitoring functions are assigned to some team members with complementary capabilities and expertise, based on which the integrated monitoring framework of HGSs is established. The vibration state data are divided into five layers, for which selective storage strategies are proposed to improve the pertinence of the data and save storage space. In addition, real-time and time-lapse cooperative monitoring are realized with the driving of condition synchronization, event synchronization and time-lapse inspections. Meanwhile, the selective storage and associative storage of the state data are completed during the process. Besides, the temporary data continuously stored can be extracted and permanently stored by experts to prevent the omission of selective storage. Currently, the proposed approach has been successfully applied in Gezhouba Hydropower Station, which significantly improves the intelligent level of the power station.
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