Sewage management platform based on sewage biochemical treatment optimization and fine aeration

A biochemical treatment and management platform technology, applied in water/sludge/sewage treatment, water aeration, sustainable biological treatment, etc., can solve problems such as high manual labor intensity, inaccurate aeration, and large aeration volume , to achieve the effect of adjusting and optimizing process parameters, realizing fine control, and improving aeration efficiency

Active Publication Date: 2019-07-05
CHONGQING TECH & BUSINESS UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Manual operation is mainly to adjust the air volume of the blower according to the determination of the dissolved oxygen concentration and the water quality of the effluent. Under this operation, the stability is poor. Often, the aeration volume will be too large and the labor intensity will be high in order to achieve the water as much as possible.
Even if the semi-automatic aeration control realizes data collection and transmission, there is still the problem of high manual labor intensity
Fully automatic aeration control is the trend of future development, but the current automatic aeration control still has the problems of inaccurate aeration and high power consumption, which is easy to cause waste of resources

Method used

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  • Sewage management platform based on sewage biochemical treatment optimization and fine aeration
  • Sewage management platform based on sewage biochemical treatment optimization and fine aeration
  • Sewage management platform based on sewage biochemical treatment optimization and fine aeration

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Embodiment 1

[0026] Such as figure 1 As shown, the sewage management platform based on sewage biochemical treatment optimization and fine aeration disclosed in this embodiment includes a data receiving module, a database, a prediction module, a model building module, a model parameter setting module, a model calibration module, a process model library, Pre-plan simulation module, decision-making module and control module. in:

[0027] The data receiving module is used to receive parameter information uploaded by each sewage treatment plant, and the parameter information includes water quality data, water volume data and equipment operation data. The database is used to store current parameter information and historical parameter information of each sewage treatment plant, and the database also stores prediction-related data. In this implementation, the water quality data includes temperature data, pH data, DO data, SS data, COD data, ammonia nitrogen data, total nitrogen data and total p...

Embodiment 2

[0038] Such as figure 2 As shown, the difference between this embodiment and Embodiment 1 is that in this embodiment, an aeration system is also included, and the aeration system includes a control box, an aerator and a pipeline connected to the aerator, and the array on the pipeline There are vertically upward installation pipes 1 distributed, the aerator includes an installation sleeve 3 and an installation base 2, the installation base 2 is rotationally connected to the installation pipe 1, the installation base 2 is fixedly connected to the installation sleeve 3, and the installation sleeve 3 is connected to the installation An angle of 30 degrees is provided between the pipes 1, and a motor 8 is also provided on the installation pipe 1. The output shaft of the motor 8 is provided with a first gear 9, and the mounting seat 2 is sleeved with a second gear. The motor 8 can Control the rotation of the mounting base 2, and then control the inclination direction of the mountin...

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Abstract

The invention relates to the technical field of sewage treatment, and in particular relates to a sewage management platform based on sewage biochemical treatment optimization and fine aeration. The platform comprises a data receiving module, a database, a prediction module, a model building module, a model parameter setting module, a model correction module, a process model library, a plan simulation module, a decision module and a control module. The data receiving module is used to receive parameter information uploaded by each sewage treatment plant. The database is used for storing the parameter information. The prediction module is used for predicting the change trend of each state parameter of sewage. The process model library stores the process model of each sewage treatment plant.The plan simulation module is used to carry out plan simulation on each sewage treatment plant under the influence of external disturbances and generate a control plan model. The sewage management platform based on sewage biochemical treatment optimization and fine aeration can optimize process parameters, realizes fine management of sewage treatment processes, and reduces the power consumption ofthe treatment processes.

Description

technical field [0001] The invention relates to the technical field of sewage treatment, in particular to a sewage management platform based on sewage biochemical treatment optimization and fine aeration. Background technique [0002] The biological treatment process is a widely used sewage treatment technology at present. Its process is a complex biochemical process. There is still a lot of room for optimization in the biochemical treatment process of the existing sewage treatment system, especially in the aspect of aeration control. A very important link in sewage treatment is also the most important energy consumption link in almost all sewage plants using biological treatment processes. From the power consumption of some domestic sewage treatment plants, aeration accounts for 50% of the total power consumption -70%, so the aeration system is a key link in the energy-saving and consumption-reducing operation of the entire sewage plant. [0003] my country's aeration cont...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B17/02C02F7/00
CPCC02F7/00G05B17/02Y02W10/10
Inventor 申渝彭玉郭智威王建辉齐高相尹文洁高旭
Owner CHONGQING TECH & BUSINESS UNIV
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