Method and system for monitoring water gauge water level video based on deep learning algorithm

Abstract

The invention discloses a method and system for monitoring a water gauge water level video based on a deep learning algorithm, and belongs to the technical field of image identification and water level monitoring. The method comprises the steps of video acquisition, video frame processing, water level line identification, water level measurement and the like. The method and system for monitoring the water gauge water level video based on the deep learning algorithm have the advantages that a deep learning neural network is used for achieving the intellectualization and automation of the waterlevel monitoring, very high accuracy and feasibility are provided, the structure is simple, the device is arranged conveniently, compared with the prior art, the cost is low, the automation level is high, higher monitoring efficiency is provided, and the method is an important improvement for the prior art.

Description

technical field [0001] The invention relates to the technical fields of image recognition and water level monitoring, in particular to a method and system for intelligent monitoring of water gauge water level video based on a deep learning algorithm. Background technique [0002] Water level monitoring is an important monitoring index for water bodies such as rivers, rivers, and reservoirs, and is of great significance. In the prior art, conventional water level monitoring methods include sensor monitoring and water gauge manual monitoring. Among them, the sensor monitoring can automatically collect the analog quantity representing the water level, and then convert the analog quantity into water level data through a certain circuit and algorithm. [0003] According to the different analog quantities collected, water level sensors can be divided into float sensors, pressure sensors, ultrasonic sensors and other forms. The float type water level gauge is relatively cheap and...

AI Technical Summary

Problems solved by technology

The float type water level gauge is relatively cheap and has strong applicability, but when measuring the water level, a separate water level gauge room must be built for it, and the cost of the house even exceeds the cost of the water level sensor

In addition, the pressure sensor is greatly affected by the change of water quality, and needs to be checked and adjusted frequently, which brings difficulties to operation and maintenance; while the ultrasonic water level sensor is above the open channel, there are many external disturbances, and the measured water level often drifts.

On the other hand, the manual monitoring method is time-consuming and laborious, and obviously does not meet the requirements of intelligent and automatic water level monitoring

[0004] It can be seen that the water level monitoring methods in the prior art have problems such as backward monitoring methods, high monitoring costs, and inaccurate monitoring data, which are not conducive to the further development of water level monitoring.

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