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Method for controlling operation of water plant by stages according to water treatment capacity

A staged, sewage treatment plant technology, applied in the direction of adaptive control, general control system, neural learning method, etc., can solve problems affecting the stability and efficient operation of urban sewage treatment, achieve stable water output, ensure timeliness, and avoid energy loss. wasteful effect

Active Publication Date: 2016-12-07
HUADIAN WATER TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of the urban sewage treatment plants that have been built have a large discrepancy between the actual influent water quality and water volume and the design value, which seriously affects the stable and efficient operation of urban sewage treatment

Method used

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  • Method for controlling operation of water plant by stages according to water treatment capacity
  • Method for controlling operation of water plant by stages according to water treatment capacity
  • Method for controlling operation of water plant by stages according to water treatment capacity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] Embodiment 1: a kind of method for controlling water plant operation in stages according to the amount of treated water, comprising the following steps:

[0059] S100: Collect real-time influent flow and influent COD data of the sewage treatment plant, and store the collected real-time influent flow, influent COD data and corresponding time points into the database;

[0060] S200: For the collected data, take the real-time influent flow rate and influent chemical oxygen demand data as the ordinate, and the time point corresponding to the real-time influent flow data as the abscissa to establish a data curve, and perform smoothing and noise reduction on the data curve;

[0061] S300: use neural network technology to establish a data prediction model for the data after smoothing and denoising;

[0062] S400: Predict the data at the selected moment, and obtain the predicted value;

[0063]S500: Control the operation of the sewage treatment plant according to the obtained ...

Embodiment 2

[0064] Embodiment 2: a kind of method according to the method of water treatment stage control water plant operation, comprises the following steps:

[0065] S100: Collect real-time influent flow and influent COD data of the sewage treatment plant, and store the collected real-time influent flow, influent COD data and corresponding time points into the database;

[0066] S200: For the collected data, take the real-time influent flow rate and influent chemical oxygen demand data as the ordinate, and the time point corresponding to the real-time influent flow data as the abscissa to establish a data curve, and perform smoothing and noise reduction on the data curve;

[0067] S210: Perform smoothing and noise reduction processing on the data curve by wavelet decomposition method;

[0068] S220: repeat step S210 three times, and perform wavelet decomposition on the data curve three times;

[0069] S230: Using the unbiased risk criterion to select a threshold to denoise, and recon...

Embodiment 3

[0073] Embodiment 3: a kind of method of controlling water plant operation in stages according to the amount of treated water, comprising the following steps:

[0074] S100: Collect real-time influent flow and influent COD data of the sewage treatment plant, and store the collected real-time influent flow, influent COD data and corresponding time points into the database;

[0075] S200: For the collected data, take the real-time influent flow rate and influent chemical oxygen demand data as the ordinate, and the time point corresponding to the real-time influent flow data as the abscissa to establish a data curve, and perform smoothing and noise reduction on the data curve;

[0076] S210: Perform smoothing and noise reduction processing on the data curve by wavelet decomposition method;

[0077] S220: repeat step S210 three times, and perform wavelet decomposition on the data curve three times;

[0078] S230: Using the unbiased risk criterion to select a threshold to denoise,...

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Abstract

The invention discloses a method for controlling operation of a water plant by stages according to the water treatment capacity. The method comprises the following steps that S100, real-time inflow rate data of a sewage treatment plant is collected, the current inflow chemical oxygen demand is calculated, and the collected real-time inflow rate and inflow chemical oxygen demand data and corresponding time points are stored in a database; S200, a data curve of the collected data is established with the real-time inflow rate and inflow chemical oxygen demand data being vertical coordinates and the time point corresponding to the real-time inflow rate data being horizontal coordinates, and smooth denoising is conducted on the data curve; S300, a neural network technology is adopted for establishing a data prediction model of the data subjected to smooth denoising; S400, the data at a selected moment is predicted, and a predicted value is acquired; S500, operation of the sewage treatment plant is controlled according to the acquired predicted value. By the adoption of the method, it can be guaranteed that the process is adjusted in time, process operation is slightly adjusted according to change in inflow, and the purposes of stable outflow and up-to-standard emission are achieved.

Description

technical field [0001] The invention relates to a sewage treatment plant, in particular to a method for controlling the operation of the water plant in stages according to the amount of treated water. Background technique [0002] With the rapid development of the economy, the urban sewage production volume is the decisive factor for the layout of the planned sewage system, the construction of the supporting pipe network and the sewage interception system, the scale of the urban sewage treatment plant, and the sewage treatment process. In the design process of sewage treatment plants, the design water quality and water volume often determine the scale of urban sewage treatment plants, the selection of process flow, and the investment and operating costs of the project. Most of the urban sewage treatment plants that have been built have a large discrepancy between the actual influent water quality and water volume and the design value, which seriously affects the stable and e...

Claims

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Application Information

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IPC IPC(8): G05B13/04G06N3/08
Inventor 李鸿燕
Owner HUADIAN WATER TECH CO LTD
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