Ammonia nitrogen water quality soft measurement prediction method

Abstract

The embodiment of the invention relates to the field of environment monitoring, and discloses an ammonia nitrogen water quality soft measurement prediction method. The method comprises the following steps of obtaining data values of multiple water quality monitoring indexes in the water environment to be tested, wherein multiple data values of each water quality monitoring index are obtained, andat least one index in the multiple water quality monitoring indexes is the ammonia nitrogen index; selecting a plurality of water quality monitoring indexes from the water quality monitoring indexes except the ammonia nitrogen index; forming the data values of the selected water quality monitoring indexes into a data sample set; dividing the data sample set into a training set and a test set; training the training set by a fuzzy neural network algorithm; obtaining an ammonia nitrogen soft measurement model; testing the ammonia nitrogen soft measurement model by using the test set to obtain a test result; repeatedly executing the model building and model testing until the obtaining test result conforms to the preset conditions; using the ammonia nitrogen soft measurement model conforming tothe preset condition as a final soft measurement model. The prediction effect of the obtained model is precise; the ammonia nitrogen water quality soft measurement prediction cost is reduced.

Description

technical field [0001] The invention relates to the field of environmental monitoring, in particular to a water quality soft-sensing prediction technology for ammonia nitrogen. 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, increa...

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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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