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Intelligent water level detection equipment, intelligent water level monitoring management device and detection method

A water level detection, intelligent technology, applied in neural learning methods, image data processing, image enhancement and other directions, can solve problems such as low efficiency and complex detection methods

Active Publication Date: 2020-06-16
YUNNAN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to achieve the above purpose, the present invention provides an intelligent water level detection device, which solves the problems of complex detection methods and low efficiency in the image-based detection methods for water areas in the prior art

Method used

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  • Intelligent water level detection equipment, intelligent water level monitoring management device and detection method
  • Intelligent water level detection equipment, intelligent water level monitoring management device and detection method
  • Intelligent water level detection equipment, intelligent water level monitoring management device and detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Such as Figure 4 As shown, a kind of intelligent water level detection equipment is made up of processor 401, field programmable gate array 402, random access memory 403, digital memory card 404, network communication module 405, 5 parts; described field programmable gate array 402 (FPGA), digital memory card 404, network communication module 405 are connected with processor 401 through PCIE bus, and described RAM 403 is connected with processor 401 through data bus and address bus.

[0089] The field programmable gate array 402, referred to as FPGA, is preset based on deep learning training CNN convolutional neural network, and is used to predict the water level of the input image, that is, predict the water level;

[0090] The random access memory 403 is used to provide the processor 401 and the field programmable gate array 402 with the main storage space required for operation;

[0091] The digital memory card 404 is used to store permanent data, such as executable ...

Embodiment 2

[0102] Such as Figure 5 As shown, an intelligent water level monitoring and management device includes: infrared lighting equipment, a capture camera 502, and the intelligent water level detection device 503 (the intelligent water level detection device 503 has been described in Embodiment 1, and will not be repeated);

[0103] The infrared illuminating device is an infrared illuminating lamp 501, and this infrared light source ensures that the image captured by the detection area is still available when the light is insufficient at night;

[0104] The capture camera 502 is used to capture relevant images;

[0105] The capture camera 502 and infrared lighting equipment form an outdoor network monitoring camera with infrared lighting function, the capture camera 502 has an imaging pixel of more than 2 million pixels and a resolution of more than 1920×1080;

[0106] The intelligent water level detection device 503 predicts the virtual water level based on the image captured by...

Embodiment 3

[0108] Such as figure 1 As shown, an intelligent water level detection method based on deep learning is implemented by the intelligent water level monitoring and management device, and specifically includes the following steps:

[0109] Step S100, the intelligent water level detection method based on deep learning, the preparatory work in sequence includes:

[0110] Step S100-1, fix the orientation, orientation and zoom of the captured camera 502; the orientation, orientation and zoom of the camera can be set by the camera control software (the camera control software is the control software that comes with the camera), and be set to default values;

[0111] Step S100-2, manually mark the detection area; in the captured image, it is located in the junction area between the water surface and the visible fixed reference object (such as the water bank) in the water area, and select a rectangular detection area. It is necessary to ensure that the frame selection area includes the ...

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Abstract

The invention discloses intelligent water level detection equipment, an intelligent water level monitoring management device and a detection method. The intelligent water level detection equipment iscomposed of a processor, a field programmable gate array, a random access memory, a digital memory card and a network communication module. The field-programmable gate array is preset to train a CNN convolutional neural network based on deep learning and predict a water line. The intelligent water level detection method based on deep learning is implemented through the intelligent water level monitoring management device. The method specifically comprises the following steps: setting a system state as a normal state, capturing an image according to a capturing strategy to perform image cuttingprocessing, predicting a water line, calculating a virtual water level, judging whether the water level exceeds an early warning virtual water level, judging whether to enter a system early warning state for the first time, updating early warning information, generating an early warning record, and sending an early warning short message. According to the invention, the problems of complex detection method and low efficiency of the image-based detection method for the water area in the prior art are solved.

Description

technical field [0001] The invention belongs to the technical field of water level detection, and relates to an intelligent water level detection device, an intelligent water level monitoring and management device and a detection method. Background technique [0002] All-weather monitoring of water levels in rivers, reservoirs and other water areas is very important for environmental governance, water resources management, flood and disaster prevention, agricultural production, fishery production and other fields. According to different measurement characteristics, common water level detection can be divided into five types: float-based methods, pressure-based methods, ultrasonic-based methods, radar-based methods, and image-based methods. [0003] At present, the water level detection method based on pressure and the water level detection method based on ultrasonic are the most widely used. [0004] The pressure-based method places the pressure sensor at the bottom of the ...

Claims

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Application Information

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IPC IPC(8): G06T7/70G06N3/08G06N3/04
CPCG06T7/70G06N3/08G06T2207/20081G06T2207/20084G06N3/045
Inventor 廖赟
Owner YUNNAN UNIV
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