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Variable weight ing combination landscape water quality early warning method

A landscape water and combination prediction technology, applied in the direction of testing water, material inspection products, etc., can solve problems such as water pollution, lack of maintenance and treatment, poor self-purification ability, etc.

Active Publication Date: 2014-11-19
TIANJIN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the landscape water bodies are static or slow-flowing water bodies with poor mobility, which are easy to pollute, have poor self-purification ability, and are easy to become the receiver of domestic sewage, rainwater and garbage for residents.
At the same time, the construction of many landscape water bodies is too formal, rote, and lack of maintenance and treatment in the later stage, which makes the landscape water bodies turn black and smelly after a period of time, and serious water pollution occurs

Method used

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  • Variable weight ing combination landscape water quality early warning method
  • Variable weight ing combination landscape water quality early warning method
  • Variable weight ing combination landscape water quality early warning method

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Embodiment Construction

[0039] A landscape water quality early warning method with variable weight combination of the present invention will be described in detail below in conjunction with the embodiments and accompanying drawings.

[0040] A kind of landscape water quality early warning method of variable weight combination of the present invention, such as figure 1 shown, including the following steps:

[0041] 1) On-line water quality monitoring, using several Remote Terminal Units (RTUs) to collect water samples from various monitoring points of landscape water, and transmit the data to the local data center and store them to form a sequence of water quality samples , in order to carry out water quality analysis and water quality early warning, described online water quality monitoring includes measuring dissolved oxygen DO, pH, chemical oxygen demand COD, total nitrogen TN, ammonia nitrogen NH of water sample 3 -N and total phosphorus TP six water quality indicators;

[0042] 2) The prediction ...

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Abstract

The invention discloses a variable weighting combination landscape water quality early warning method which comprises on-line water quality monitoring, water quality change predicting and water quality early warning, wherein the on-line water quality monitoring comprises the following steps: gathering water samples of all monitoring points of landscape water, and transmitting the monitoring data to the server of a data center for storage and analysis; the water quality change predicting comprises the following steps: performing normalization processing on water quality samples of the data center, establishing a neural network prediction model, a support vector machine prediction model and a variable weighting combination prediction model respectively, and performing interval estimation on the variable weighting combination prediction model; water quality early warning comprises the following steps: performing water quality early warning by utilizing the interval estimation value of the variable weighting combination prediction model, and performing warning report simultaneously. According to the invention, the function of landscape water quality on-line early warning is realized; the variable weighting combination mode of a neural network and a support vector machine is introduced to a landscape water quality early warning system for the first time, which is an innovation in the field of landscape water quality. The variable weighting combination landscape water quality early warning method has an excellent practical value for the water quality maintenance and operation management of a landscape water body.

Description

technical field [0001] The invention relates to a landscape water quality early warning method. In particular, it relates to a landscape water quality early warning method based on the variable weight combination of neural network and support vector machine. Background technique [0002] With the development of social economy and the improvement of people's living standards, landscape water bodies such as landscape rivers, man-made lakes and man-made landscape lakes, as an "element" that can adjust the climate, beautify the environment and cultivate sentiment, have begun to be used in more and more cities. Appear. However, most of the landscape water bodies are static or slow-flowing water bodies with poor fluidity, which are easy to pollute, have poor self-purification ability, and are easy to become the recipients of domestic sewage, rainwater and garbage. At the same time, the construction of many landscape water bodies is too formal, rote, and lack of maintenance and t...

Claims

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Application Information

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IPC IPC(8): G01N33/18
Inventor 赵加斌彭森吴卿
Owner TIANJIN UNIV
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