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Real-time effluent total-phosphorus monitoring system based on peak radial basis function neural network

A technology based on neural network and effluent total phosphorus, applied in biological neural network models, general water supply saving, special data processing applications, etc. Issues such as emission standards

Inactive Publication Date: 2017-05-17
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in my country, nearly 50% of urban water plants cannot meet the phosphorus discharge standards required by the state. The reason is that the total phosphorus in the effluent cannot be obtained in real time, and the sewage treatment plant cannot adjust the treatment process in time according to the phosphorus content.
At present, the detection of phosphorus in effluent is mainly carried out by manual sampling and chemical experiments. However, the chemical method is cumbersome to operate, takes a long time and is very expensive, and is not suitable for large-scale promotion and installation.

Method used

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  • Real-time effluent total-phosphorus monitoring system based on peak radial basis function neural network
  • Real-time effluent total-phosphorus monitoring system based on peak radial basis function neural network
  • Real-time effluent total-phosphorus monitoring system based on peak radial basis function neural network

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Embodiment Construction

[0088] 1. The specific implementation of the design of the sewage treatment intelligent monitoring system

[0089] Through the laboratory test platform and the actual sewage treatment plant to build a satisfactory hardware platform, design a configuration monitoring system, and transmit the data in the monitoring system to the neural network intelligent detection module running in the background MATLAB through OPC technology to realize data communication. The specific implementation steps are as follows:

[0090] OPC data communication based on group objects:

[0091] First, select the monitoring configuration software as the OPC server, set the server name Luchao-Lenovo, 9 group objects and project names,

[0092] Second, in MATALB, locate the OPC server used. Create an OPC data access object and be able to connect to the server. The object parameters are temperature T, anaerobic terminal oxidation-reduction potential ORP, aerobic dissolved oxygen DO, aerobic terminal total...

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Abstract

The invention discloses a real-time effluent total-phosphorus monitoring system based on a peak radial basis function neural network, and belongs to the water field and the data detection field. Sewage treatment is a complicated biochemical reaction process with various variables; in order to improve operation efficiency of sewage treatment devices, guarantee effluent quality and reduce operation cost, the real-time effluent total-phosphorus monitoring system mainly comprises a real-time sewage treatment data acquisition system, an FAMEVIEW data monitoring system and a peak radial basis function neural network online measuring system. Data are acquired and uploaded to a monitoring interface, and water quality and operation conditions are monitored in real time; the data are transmitted to a radial basis function neural network module in background operation so as to provide the basis for water quality predication. The real-time effluent total-phosphorus monitoring system has the advantages that predicated values of water quality parameters are acquired through data monitor and real-time analysis, so that the water quality can be predicated, potential water pollution can be reduced by measures such as manual medication and aeration, the learning algorithm is applied to an actual sewage treatment process, and an application platform is provided for predication control methods.

Description

technical field [0001] The invention belongs to the field of water and data detection, and uses FAMEVIEW configuration and peak radial basis neural network data mining model to establish an intelligent monitoring system for sewage treatment. The system consists of configuration OPC technology software and hardware communication, FAMEVIEW sewage treatment monitoring system, and neural network. The online data mining module is composed of three parts, which realizes the real-time monitoring of the parameters of the whole process of sewage treatment and the online prediction of the total phosphorus in the effluent. Background technique [0002] In recent years, with the development of urbanization and industrialization, the water environment of various countries in the world has become more and more polluted. Substandard discharge of sewage not only seriously affects the daily life of residents, but also causes great damage to the water environment. As the country attaches gre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/02
CPCG06F30/20G06N3/02Y02A20/152
Inventor 乔俊飞卢超韩红桂武利
Owner BEIJING UNIV OF TECH
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