Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Online soft measurement method for sewage treatment based on quick relevance vector machine

A correlation vector machine and sewage treatment technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as long cycle, inability to respond to sewage treatment site conditions in time, and time delay of sewage control system

Inactive Publication Date: 2015-06-03
SOUTH CHINA UNIV OF TECH
View PDF2 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current sewage treatment generally adopts the dilution method and sensors to measure the concentration of BOD and COD in sewage. However, due to the long period of analysis and determination of these two indicators, errors often occur in the measurement, and the on-site situation of sewage treatment cannot be reflected in time. Therefore, There is a large delay in the sewage control system, and it cannot play its best performance

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Online soft measurement method for sewage treatment based on quick relevance vector machine
  • Online soft measurement method for sewage treatment based on quick relevance vector machine
  • Online soft measurement method for sewage treatment based on quick relevance vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0088] The present invention will be further described in detail below in conjunction with the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0089] The invention adopts a fast correlation vector machine to establish an off-line model; uses a fast marginal likelihood algorithm to improve the training process of the model, can accelerate the online training speed of the model, and make the hyperparameter reach a stable value faster. The algorithm steps are as follows

[0090] Algorithm steps:

[0091] S1. Initialize σ 2 ;

[0092] S2. Using a single basis vector φ i initialize alpha i , can be obtained from the analysis and sorting of formula (24) and set the other alpha m (m≠i) is infinite;

[0093] S3. Calculate ∑, μ and calculate all M basis functions φ m Initialize S m and Q m ;

[0094] S4. From all M basis functions φ m Select the candidate basis vector φ in the set i ;

[0095] S5. Calcula...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an online soft measurement method for sewage treatment based on a quick relevance vector machine. The online soft measurement method sequentially comprises the following steps: estimating hyper-parameters by a quick marginal likelihood algorithm to obtain a weight value and a sample deviation value of a model; then establishing an online predication model of the quick relevance vector machine, optimizing model parameters and realizing accurate and quick measurement for BOD (Biological Oxygen Demand) in sewage. According to the measurement method disclosed by the invention, the real-time requirement can be met; an optimal predication model is established, so the prediction precision is improved, and the effect is obvious and the performances are improved; an online soft measurement model for sewage quality, established by the quick relevance vector machine, is high in prediction precision, high in generalization ability and short in updating time, and has important significance for reducing operating expenses of a sewage treatment plant, reflecting the condition of the sewage quality and realizing an automatic control system for the sewage treatment.

Description

technical field [0001] The invention relates to the field of sewage treatment, in particular to an online soft-sensing method for sewage treatment based on a fast correlation vector machine. Background technique [0002] Wastewater treatment is an integral part of economic development and water conservation. With the rapid growth of the national economy, the amount of sewage discharge has also increased significantly. However, there are too few sewage treatment plants and the treatment cycle is too long, which is far from meeting the national requirements for environmental protection. At the same time, the country has increased investment in environmental protection, and sewage treatment technology has received more and more attention. The national development plan clearly states that it is necessary to develop and promote low-energy and effective sewage treatment technologies. [0003] In the sewage discharge standard, the parameters to measure whether the standard is met...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F19/00
Inventor 许玉格曹涛罗飞宋亚龄张雍涛
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products