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Water quality prediction and early warning system based on anisotropic Delaunay subdivision and implementation method thereof

An anisotropic and water quality prediction technology, applied in prediction, neural learning methods, general water supply conservation, etc., can solve problems such as difficult to obtain water quality parameters, difficult to obtain pollution point sources, and unknown river hydrological information

Active Publication Date: 2019-08-09
江西博微新技术有限公司
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Problems solved by technology

[0002] At present, in the process of water quality detection, the hydrological information of the river is unclear, and it is difficult to obtain the point source of pollution. Enterprises have the phenomenon of sneaky and leaky discharge. It is not easy to obtain water quality parameters in the process of water quality early warning detection. In view of the problems exposed in the current water quality prediction and early warning process , it is necessary to develop a water quality early warning system

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  • Water quality prediction and early warning system based on anisotropic Delaunay subdivision and implementation method thereof
  • Water quality prediction and early warning system based on anisotropic Delaunay subdivision and implementation method thereof
  • Water quality prediction and early warning system based on anisotropic Delaunay subdivision and implementation method thereof

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Embodiment

[0030] see Figure 1-11 , the present invention provides the following technical solutions: an anisotropic Delaunay-based water quality prediction and early warning system, including the extraction of river network information from elevation maps, the establishment of graph structures between several monitoring stations, and the establishment, training and prediction of graph convolutional networks , where the elevation map extracts the river network information, uses the Hessian Matrix (HessianMatrix) filter to enhance the river structure of the elevation map, obtains the tubular measure (Vesselness) and tubular vector field, and constructs a variational model. The original gray value of the elevation map, the tubular Combining the measure and its anisotropy, a new energy model is proposed, and the Graph-cuts algorithm is applied to segment the channel area;

[0031] The establishment of a graph structure between several of the monitoring sites is used to divide the anisotrop...

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Abstract

The invention belongs to the technical field of water quality prediction and early warning systems, in particular to a water quality prediction and early warning system based on the anisotropic Delaunay subdivision. The method comprises the following steps of extracting the river network information through an elevation map, and establishing a graph structure among a plurality of monitoring stations and a graph convolutional network, training and predicting, adopting the hessian matrix filtering for an elevation map enhanced river structure, obtaining a tubular measure and a tubular vector field, constructing a variational model, combining the original gray values, the tubular measure and anisotropism of the elevation map to provide a new energy model; and according to the graph structureand the tubular measurement distance, determining a mark node and a neighborhood thereof, training the graph convolutional neural network by adopting the water quality historical data and the river network information, and predicting the water quality data.

Description

technical field [0001] The invention belongs to the technical field of water quality forecasting and early warning systems, and in particular relates to a water quality forecasting and early warning system based on anisotropic Delaunay subdivision and an implementation method thereof. Background technique [0002] At present, in the process of water quality detection, the hydrological information of the river is unclear, and it is difficult to obtain the point source of pollution. Enterprises have the phenomenon of sneaky and leaky discharge. It is not easy to obtain water quality parameters in the process of water quality early warning detection. In view of the problems exposed in the current water quality prediction and early warning process , it is necessary to develop a water quality early warning system. Contents of the invention [0003] In order to solve the above-mentioned problems in the prior art, the present invention provides a water quality prediction and earl...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26G06N3/04G06N3/08
CPCG06Q10/04G06Q50/26G06N3/08G06N3/045Y02A20/152
Inventor 欧阳强罗海涛朱国伟熊昌狮
Owner 江西博微新技术有限公司
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