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Sewage water quality detection method and apparatus

A technology for water quality testing and sewage, applied in testing water, material inspection products, etc., can solve the problems of complex testing process and prone to errors, achieve high prediction accuracy, good applicability, and facilitate real-time monitoring and adjustment.

Inactive Publication Date: 2013-08-07
GUANGZHOU INST OF RAILWAY TECH
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Problems solved by technology

However, at present, the detection of total nitrogen and total phosphorus is done manually, and there is a large time lag in manual detection, and the detection process is complicated and prone to errors

Method used

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  • Sewage water quality detection method and apparatus
  • Sewage water quality detection method and apparatus
  • Sewage water quality detection method and apparatus

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Embodiment Construction

[0016] The sewage water quality detection process is a multi-variable, multi-objective, multi-level complex process including massive information processing, and there is a strong coupling and correlation between various parameters. Some important indicators are difficult to measure online, such as the values ​​of BOD5, N, and P. In order to better monitor these indicators, the soft measurement technology that has emerged in recent years can be used, that is, the use of easy-to-measure process variables and difficult-to-measure directly. The mathematical model (soft sensor model) between the measured process variables, through various mathematical calculations and estimation methods, uses computer software to realize the measurement of the process variables to be measured. Support Vector Machine (SVM, Support Vector Machine) is a soft sensor modeling method based on statistical learning theory. Its goal is to construct a decision function to classify test data as correctly as p...

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Abstract

The present invention discloses a sewage water quality detection method and an apparatus, wherein data training is performed to pre-establish a prediction model based on a relevance vector machine, and the total nitrogen and the total phosphorus in sewage are predicted by using the prediction model. Compared to the manual detection method, the method and the apparatus have the following characteristics that: online prediction can be achieved, real-time monitoring and regulation are easily performed, and contribution is provided for real-time monitoring automation of sewage water quality. In addition, the prediction model adopted by the method and the apparatus is a soft measurement method based on the relevance vector machine, and has better applicability and higher prediction accuracy compared with a model established by adopting a neural network and support vector machine modeling method.

Description

technical field [0001] The invention relates to the technical field of sewage detection, in particular to a sewage water quality detection method and device. Background technique [0002] With the development of urbanization and the development of industrial and agricultural production, the amount of sewage discharge is increasing day by day. In recent years, my country has built a large number of sewage treatment plants to improve the water environment and prevent further deterioration. Due to the complex mechanism of the sewage treatment process, in order to establish a good monitoring mechanism and ensure good effluent water quality, it is necessary to monitor the water quality parameters in the sewage treatment process in time. [0003] According to relevant national discharge standards, total nitrogen and total phosphorus are important indicators to measure water quality. However, at present, the detection of total nitrogen and total phosphorus is done manually, and t...

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Application Information

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IPC IPC(8): G01N33/18
Inventor 罗隆周力尤
Owner GUANGZHOU INST OF RAILWAY TECH
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