Dam deformation prediction system and method based on convolutional neural network

Abstract

The invention discloses a dam deformation prediction system and method based on a convolutional neural network. According to the convolutional neural network for dam deformation prediction, the network parallel computing capacity is fully used, two-dimensional data is input into multiple paths in parallel, multiple convolutional layers and pooling layers are alternately cascaded in each path, andin order to obtain more characteristics, different convolutional kernel sizes can be set; a simple path only cascading a convolution layer and a pooling layer is added to extract features different from other paths, and meanwhile, the features extracted by the paths are not necessarily complementary, so that additive operation is used in the system when output results of the paths are combined. According to the method, the automation level of dam deformation prediction is improved, and the efficiency and speed of deformation prediction are improved.

Description

technical field [0001] The invention belongs to the field of dam deformation prediction, in particular to a convolutional neural network-based dam deformation prediction system and method. Background technique [0002] In order to make full use of water resources and alleviate the imbalance of water resources in space and time, my country has built more than 85,000 dams of various types. These dams have produced huge economic benefits in the fields of irrigation, flood control, and power generation. Especially with the gradual deepening of projects such as the Western Development, South-to-North Water Diversion, and West-to-East Electricity Transmission, the dams have played an extremely important role. However, with the passage of time, internal and external factors of the dam (environment, basic structure) have gradually changed, and some dam bodies may be deformed to varying degrees, which will bring huge casualties and economic losses to the downstream. [0003] Therefo...

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Problems solved by technology

[0006] However, although the dam deformation prediction technology disclosed by the above-mentioned technologies is helpful to improve the prediction efficiency, the following problems still exist: there are many factors that affect the dam deformation in reality, and the main factors in different climates and terrains are The influencing factors are also different. How to use as little data as possible to accurately obtain characteristic data; and how to build a highly automated dam deformation prediction system to achieve efficient processing of large amounts of data will become the top priority

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