Water quality soft measuring prediction method of permanganate index

Abstract

The invention discloses a water quality soft measuring prediction method of permanganate index, which relates to the field of environment monitoring. The method comprises the steps of obtaining the data value of a plurality of water quality monitoring indexes in water environment to be measured, wherein the data value obtained by each water quality monitoring index is more than one, and the plurality of water quality monitoring indexes include at least one permanganate index; selecting a plurality of water quality monitoring indexes from various water quality monitoring indexes excluding the permanganate index, and forming a data sample set with the data value of the selected water quality monitoring index, and dividing the data sample set into a training set and a testing set, conductingtraining on the training set by means of support vector machine algorithm, and obtaining a permanganate index soft measuring model; conducting test on the permanganate index soft measuring model by means of the testing set, and obtaining the testing result; repetitively executing model establishing and model testing until the obtained test result accords with the preset condition, and using the permanganate index soft measuring model according with the preset condition as the final soft measuring model. The invention is advantageous in that the prediction effect of the model is accurate, and the water quality soft measuring prediction cost of the permanganate index can be reduced.

Description

technical field [0001] The invention relates to the field of environmental monitoring, in particular to a water quality soft measurement prediction technology of permanganate index. Background technique [0002] As we all know, my country's water resources are very scarce, and the per capita share is only 1 / 4 of the world's average level. At the same time, there are serious water pollution problems, such as water pollution, water eutrophication, urban black and odorous water bodies, groundwater pollution, etc. make water resource problems more prominent. In rural areas, nearly 96% of my country's rural sewage, about 8 to 9 billion t / a, has not been treated, causing serious rural environmental pollution and river and sea basin pollution. In cities, black and smelly water bodies have become an urban disease, and almost all cities have no pollution. One survived. Most rivers in China are polluted to varying degrees. It is urgent to alleviate the shortage of water resources, i...

AI Technical Summary

Problems solved by technology

However, since the sewage treatment system is a complex biochemical treatment system, which is a typical nonlinear, multivariable, unstable, and large time-delay system, with many and uncertain interference factors, it is difficult to directly develop and improve online monitoring instruments, and Monitoring costs (one-time input and reagent costs) are high and difficult to reduce

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