Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method for predicting activated sludge state based on microfauna density analysis

A technology of activated sludge and prediction method, which is applied in the direction of soil material testing, material inspection products, etc., can solve the problems of destroying sludge structure, loose sludge floating, extensive and other problems, and achieves wide application prospects, accurate analysis and prediction, and improved The effect of operational management efficiency

Inactive Publication Date: 2015-01-07
ANHUI UNIVERSITY OF TECHNOLOGY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is generally believed that when sessile ciliates, such as bell worms, appear, it means that the activated sludge is in a mature and stable stage, and the effect of sewage effluent is good; when rotifers appear in the activated sludge, it indicates that the concentration of organic matter is low and the water quality is good; Too many insects may damage the sludge structure and cause the sludge to loosen and float, affecting the quality of effluent water
However, when the sludge is in different states, under different process conditions, and with different sewage treatment effects, there are more than one type of micro-animals in the sludge, often more than a dozen, or even dozens of types, and it can be judged only by observing which type or types appear. It is an extensive and qualitative judgment method to predict the state of sludge and whether the water quality of water hammer treatment is good, and it cannot accurately predict the state of sludge and the effect of sewage treatment
[0004] Therefore, using a single or several micro-animals as micro-organisms to reflect the state of sludge cannot well meet the requirements of actual engineering, and it is necessary to invent a practical and accurate method for predicting the state of sludge.

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] 1. Activated sludge micro-animal collection

[0053] In the biochemical pools of different sludge state stages (sludge acclimation and cultivation stage, maturity stage, aging stage) and different sludge abnormal states (sludge bulking, sludge disintegration and sludge disintegration, etc.) Sludge sampling.

[0054] 2. Establishment of sludge state retrieval table based on micro-animal density function

[0055] Use a biological microscope to observe and identify the microfauna in the sample sludge, count the number of all microfauna in the unit volume of sludge, calculate the density by taking the average of the number of microfauna in multiple samples, and calculate the microfauna density function B X , W Y Finally, combined with different sludge states, the following sludge state retrieval table is obtained.

[0056] Sludge Status Index Table

[0057] 1. The number of micro-animals in the sludge is less than 4000±100 / ml……………… Sludge decay

[0058] 2.B 1 more tha...

Embodiment 2

[0068] 1. Activated sludge micro-animal collection

[0069] Pure oxygen aeration is used to treat urban sewage, and activated sludge sampling is carried out in biochemical tanks with different operating stages and different sludge states (sludge bulking, sludge disintegration, and sludge disintegration and other sludge abnormalities).

[0070] 2. Establishment of a sludge state retrieval table based on micro-animal density

[0071] Use a microscope to observe and identify the microfauna in the sample sludge, then count the number of all microfauna in the unit volume of sludge, and then calculate the density by taking the average of the number of microfauna in multiple samples, and calculate the microfauna density function B X , W Y Finally, combined with different sludge states, the sludge state retrieval table is obtained.

[0072] Sludge Status Index Table

[0073] 1. The number of micro-animals in the sludge is less than 4500±10 / ml……………… The sludge is decomposed

[007...

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 a method for predicting activated sludge state based on microfauna density analysis, and belongs to the technical field of sewage processing. Aiming at indirectness and hysteresis quality of sludge state analysis indexes in the conventional activated sludge process, an integral method is established, in which density statistics analysis on activated sludge microfauna, density function calculation on microfauna and usage of a retrieval table of sludge state are combined together, and is used to perform simple, rapid and accurate analysis and prediction on activated sludge state. The method has extremely important practical significance on improvement of operation management efficiency on sewage processing process of activated sludge, and has a wide application prospect in the field of sewage biological processing.

Description

technical field [0001] The invention relates to the technical field of sewage treatment, in particular to a method for predicting the state of activated sludge. Background technique [0002] In the sludge system of sewage treatment, there is a microcosmic ecosystem composed of microorganisms such as bacteria, protozoa and micrometazoa. Due to the high technical requirements for the identification of bacteria and microorganisms, time-consuming and labor-intensive, in the actual operation and control of biochemical sewage treatment, it is impossible to effectively monitor and analyze the microorganisms in the activated sludge. Only by measuring the conventional indicators of sludge, such as SV, SVI, MLSS and MLVSS, etc., conduct indirect analysis, judgment and operation control of sludge performance. Empirical methods cannot solve new problems in the operation process, and the indirect indicators are often extensive, fuzzy, and lagging. When the indirect indicators of sludge ...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/24
Inventor 胡小兵赵鑫刘孔辉叶星
Owner ANHUI UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products