System for realizing dam slope protection based on convolutional neural network

Abstract

The invention relates to the technical field of dam slope protection, and discloses a system for realizing dam slope protection based on a convolutional neural network. Through the creation of the invention, a dam slope protection system scheme for carrying out slope vegetation automatic irrigation management based on the convolutional neural network is provided, that is, the dam slope protection system comprises a river monitoring server, a river monitoring terminal, a rain gauge, a mounting frame, a vertical rod and at least one dam slope protection unit arranged on a target dam, the river monitoring server can train a CNN model used for identifying a rainfall level based on a historically acquired weather forecast image and a rainfall value, and can estimate an angelica keiskei rainfall level (local rainfall of a next irrigation period) through the trained CNN model after an angelica keiskei weather forecast image is acquired. And then a self-adaptive watering control instruction is sent according to a pre-estimation result, so that the purpose of performing automatic watering management on slope protection vegetation is achieved, manpower and material resources can be saved, and the maintenance cost of the slope protection is reduced.

Description

technical field [0001] The invention belongs to the technical field of embankment slope protection, and in particular relates to a system for realizing embankment slope protection based on a convolutional neural network. Background technique [0002] At present, in order to protect the embankment, the grass species is usually selected as a plant with a well-developed root system and strong soil-fixing ability, so as to prevent the river from scouring the embankment for a long time and accelerate the water and soil loss of the embankment. For example, bahiagrass is a common greening grass species planted on embankments. The successfully planted bahiagrass lawn has the characteristics of strong drought resistance, but the problem is that this kind of grass is not resistant to waterlogging. When the river is flooded, the water flow will submerge the grass on the embankment, and this kind of grass that is not resistant to waterlogging is difficult to survive. In addition, the ri...

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Problems solved by technology

[0004] In order to solve the problem of high cost of manpower and material resources existing in the existing dam slope protection vegetation irrigation method, the purpose of the present invention is to provide a method for slope surface optimization based on convolutional neural network. The new embankment slope protection system for automatic vegetation watering management can predict the local rainfall in the next watering cycle based on weather forecast, and then perform automatic watering management on the slope protection vegetation according to the predicted results, thereby saving manpower and material resources and reducing the maintenance cost of slope protection

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