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Landscape water quality analysis algorithm

A water quality analysis and algorithm technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as shape and category uncertainty, difficulty in analysis and detection, and water source samples without attributes

Inactive Publication Date: 2013-12-04
王海丰
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Problems solved by technology

[0002] Landscape water quality has a crucial impact on the urban ecological environment. Urban landscape water has become the focus of ecological city construction. Water quality analysis and testing can provide a basis for the sustainable development of the ecological environment. However, since water source samples do not have strict attributes, They are uncertain in form and category, which also brings certain difficulties to analysis and detection

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Embodiment Construction

[0025] figure 1 It is a flow chart of landscape water quality analysis algorithm; a kind of landscape water quality analysis algorithm of the present invention comprises the following steps:

[0026] (1) Establish index set X={x 1 ,x 2 ,...,x n}, select x 1 is the chemical oxygen demand (COD), x 2 For ammonia nitrogen (NH3-N), x 3 is total phosphorus (TP), x 4 It is total nitrogen (TN), unit: mg / L. As an indicator.

[0027] (2) Establish a standard sample water set E={E on the indicator set X 1 ,E 2 ,...,E h}, where the water quality E 1 Class I water quality, E 2 It is Class II water quality, E 3 It is Class III water quality, E 4 It is Class IV water quality, E 5 It is Class V water quality. The degree of pollution is correspondingly clean, unpolluted, lightly polluted, moderately polluted and heavily polluted, and the water set of samples to be evaluated is established C={C 1 ,C 2 ,...,C k} to get the original data, where C i is the data collected at samp...

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Abstract

The invention discloses a landscape water quality analysis algorithm. The method comprises the following steps: firstly, establishing a water quality analysis index set, and establishing a standard sample water set and a to-be-evaluated sample water set on the index set; secondly, performing Vague processing on original non-negative single value data to obtain Vague set data, and calculating the distance between the to-be-evaluated sample water set and the standard sample water set; lastly, judging the water quality of a to-be-evaluated sample by using a mode identification method based on a distance Vague set. According to the method disclosed by the invention, landscape water quality can be detected and analyzed effectively, and a very good effect is achieved; in the algorithm, the influence of the hesitancy in the Vague set on a final result is considered, and a novel measure is provided for the water quality analysis and daily management of non-conventional water resources.

Description

Technical field [0001] The invention relates to a landscape water quality analysis algorithm, in particular to directly calculating the distance between a sample to be tested and a standard sample by using a distance formula of a Vague set emphasizing hesitation, so as to obtain the water quality of the sample to be evaluated according to the distance method of pattern recognition. algorithm. The invention belongs to the technical field of environmental engineering water quality detection. Background technique [0002] Landscape water quality has a vital impact on the urban ecological environment. Urban landscape water has become the focus of ecological city construction. Water quality analysis and testing can provide a basis for the sustainable development of the ecological environment. However, since water source samples do not have strict attributes, They are uncertain in form and category, which also brings certain difficulties to analysis and detection. Due to the unc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 王海丰李壮王鸿绪
Owner 王海丰