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Water quality classifying method and system based on random forest

A random forest algorithm and random forest technology are applied in the field of water quality classification methods and systems based on random forest, which can solve the problems of time-consuming and labor-intensive, complicated operation and low efficiency, and achieve the effect of simple operation, fast analysis speed and high accuracy.

Inactive Publication Date: 2017-09-05
FOSHAN UNIVERSITY
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Problems solved by technology

The traditional methods for water quality classification mainly include single factor evaluation method, fuzzy evaluation method, gray evaluation method, index evaluation method and graded evaluation method, etc. However, these traditional water quality classification methods usually require many indicators including chemical oxygen demand, ammonia nitrogen , total phosphorus, copper, zinc, chromium, arsenic, lead, etc., the operation is complicated, time-consuming and laborious, and the efficiency is extremely low

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  • Water quality classifying method and system based on random forest
  • Water quality classifying method and system based on random forest
  • Water quality classifying method and system based on random forest

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specific Embodiment

[0063] Such as figure 2 As shown, a random forest-based water quality classification method specifically includes the following steps:

[0064] The first step: establish a water quality category judgment model

[0065] The first step specifically includes the following steps:

[0066] S101. Perform mass spectrometry analysis on water samples of different quality categories through electrospray extraction and ionization technology, so as to obtain mass spectrometry data of water samples of different quality categories, that is, water sample mass spectrometry data, and these data are data used to establish a water quality type determination model ;Such as Figure 4 to Figure 8 As shown, they are the mass spectrum of Class I water, the mass spectrum of Class II water, the mass spectrum of Class III water, the mass spectrum of Class IV water, and the mass spectrum of Class V water;

[0067] Wherein, the data set formed by all the water sample mass spectrum data obtained in ste...

Embodiment approach

[0096] Further as a preferred embodiment of the system of the present invention, the classification module specifically includes:

[0097] The classification processing sub-module is used to input the water sample mass spectrum data corresponding to the water quality to be tested into the water quality category determination model for processing, thereby deriving the corresponding water sample similarity matrix;

[0098] The dimensionality reduction processing sub-module is used to reduce the dimensionality of the derived water sample similarity matrix by using the multidimensional scaling analysis method, and the matrix obtained after dimensionality reduction is the classification result of the water quality to be tested.

[0099] From the above, it can be concluded that the present invention is a water quality classification technology based on the random forest algorithm, which can directly realize the rapid identification of water quality categories without the need to perf...

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Abstract

The invention discloses a water quality classifying method and system based on random forest. The system comprises a sampling module and a classifying module. The method comprises the following steps: acquiring water sample mass spectrum data corresponding to water quality to be tested by an extractive electrospray ionization mass spectrum technology; classifying the acquired water sample mass spectrum data through a water quality class judging model built on the basis of a random forest algorithm to obtain a classification result of the water quality to be tested. By adopting the method and the system disclosed by the invention, the water quality class judging model based on the random forest algorithm can be built easily and rapidly, and a water quality class can be identified directly without various index detection on a sample; the system has the advantages of easiness in operation, high analysis speed, high accuracy and the like. The water quality classifying method based on the random forest can be widely applied to the technical field of water quality analysis.

Description

technical field [0001] The invention relates to water quality type identification technology, in particular to a random forest-based water quality classification method and system. Background technique [0002] Water is the source of life. As one of the important conditions for human survival, water resources play an extremely important role in life. However, with the acceleration of industrialization and urbanization, the scarcity and pollution of water resources are increasing, and fresh water resources are facing huge challenges. This not only affects the daily life of human beings, but also hinders the normal development of society. Therefore, it is urgent and necessary to establish a fast, accurate and real-time water quality classification method, which can not only provide scientific and accurate information for the management and rational use of water resources, but also provide reliable information for the detection of water resources protection laws and regulation...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/62G06K9/62
CPCG01N27/62G06F18/24323
Inventor 欧阳永中刘俊文
Owner FOSHAN UNIVERSITY
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