Water gauge image water level automatic reading method and system based on Mask RCNN algorithm

An automatic reading and water gauge technology, applied in neural learning methods, calculations, computer parts and other directions, to achieve a wide range of applications, improved recognition accuracy, and clear water quality.
CN112766274AActive Publication Date: 2021-05-07长沙市盛唐科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
长沙市盛唐科技有限公司
Publication Date
2021-05-07

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Abstract

The invention discloses a water gauge image water level automatic reading method based on a Mask RCNN algorithm in the technical field of water conservancy informatization water level automatic measuring and reporting, and the method comprises the following steps: (1), installing a camera and a water gauge, recording and confirming four corner point coordinates of each preset point of a dome camera after water gauge imaging, and setting the four corner point coordinates as preset point parameters; (2) acquiring water gauge images of different cameras and correcting the water gauge images in batches; (3) marking a water gauge detection frame for the corrected image, and constructing a training set; (4) obtaining the optimal anchor frame size anchors, adjusting the learning rate and the number of iterations, and starting to train, verify and test the Mask RCNN model to obtain a final model parameter file; (5) deploying a model parameter file trained in the step (4), correcting a picture collected in real time, and predicting a detection box and a segmentation mask; and (6) calculating the water level in combination with the coordinates of the preset point in the step (1); the method can adapt to water gauge image water level automatic reading in a complex environment, and has the advantages of being high in recognition accuracy, wide in application range, high in intelligent degree and the like.
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Description

technical field

[0001] The invention belongs to the technical field of water conservancy informatization automatic water level measurement and reporting, and in particular relates to a water level automatic reading method and system based on a Mask RCNN algorithm. Background technique

[0002] Water level is the basic hydrological element of rivers, lakes and reservoirs. Real-time water level is an important reference for flood control departments to make decisions on mountain torrent disaster prevention, basin flood control, and urban flood control. At the same time, water level monitoring data is also an important indicator for water resource environmental supervision, development and utilization.

[0003] The water level of rivers and lakes and reservoirs, in addition to manual observation readings, also has automatic water level gauge monitoring, automatic water level gauge monitoring mainly includes float type, pressure type, bubble type, ultrasonic type, radar type, and...

Claims

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