부산대학교 도서관

Pumping stations and sluice stations in polder areas generally undertake many tasks such as flood control and drainage in polder areas. The topography and topography of polder areas are flat and low-lying, and most of them are located in areas with dense river networks, so water resources are abundant. During the flood period, the water level of the river outside the polder area is often higher than that of the fields, which is more prone to natural disasters such as floods. Due to the aging equipment, many pump gates are poorly managed, which makes the operation and maintenance of pump gates difficult. Therefore, based on the feature extraction algorithm, this paper establishes a gate pump MIS (Management Information System) to monitor the hydrology and water resources of the river. The construction of gate pump MIS is based on database design and information retrieval algorithm, combined with information feature extraction and optimized information scheduling technology. The feature extraction algorithm is used to adaptively fuse and cluster the semantic correlation features of distributed data in large-scale MIS, and the feature compressor is used to reduce the dimension of the storage space of large-scale MIS, which improves the target data mining ability and the adaptive scheduling ability of gate pump MIS.