CN106769893A - A kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space - Google Patents
A kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space Download PDFInfo
- Publication number
- CN106769893A CN106769893A CN201611045185.3A CN201611045185A CN106769893A CN 106769893 A CN106769893 A CN 106769893A CN 201611045185 A CN201611045185 A CN 201611045185A CN 106769893 A CN106769893 A CN 106769893A
- Authority
- CN
- China
- Prior art keywords
- sludge
- values
- color
- flora
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention discloses a kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space, including：1) mud-water separation is carried out to mud sample, obtains sewage sludge solid；2) with digital camera shoot obtain sludge photochrome it is some；3) the color rgb value of sludge flco in photo is extracted；4) color rgb value is converted into the color spaces such as HSV, YUV coding.The group that activated sludge can be characterized according to the color-values of activated sludge changes, so as to be estimated to Treatment of Sludge ability.By the method, the technical work personnel of Sewage Plant can be made quickly to grasp current active sludge running status, operational factor is adjusted in time, be reasonable operation and energy-saving offer the directiveness opinion of sewage treatment plant.
Description
Technical field
The invention belongs to sewage treatment area, it is related to a kind of analysis by changing to mud sample color space, so that
Monitor the color representation method of sludge microbe COMMUNITY CHARACTERISTICS.
Background technology
In sewage disposal process, want to allow sewage disposal qualified discharge, not only to choose handling process, will also be to dirt
The abnormal energy Correct Analysis of water process emerged in operation, find crux, make rational Preventing Countermeasures.So to biocoene
Feature be monitored be sewage treatment plant's operational management important process.
In the existing monitoring sludge system in the method for biocoene feature, most of operator is using biological order-checking
Method, the method cost is sufficiently expensive, and the sequencing time is more long.Therefore it provides a kind of efficient, easy utilization sludge color
Biocoene in sludge system is monitored in change, and the method for significantly saving financial cost and time cost, as current sheet
Field technical problem urgently to be resolved hurrily.
The content of the invention
It is an object of the invention to provide the color representation method of biocoene feature in monitoring sludge.In regular activated dirt
In mud system and Anaerobic ammonium oxidation system, by molecular biology method and color space analysis, establish a kind of based on sludge
The method that color space characterizes biological community structure feature.Rgb value in sludge image is converted into HSV or YUV by the method
Deng other color space values, the component of other color space values such as HSV or YUV and the population quantity of activated sludge structure of community,
The features such as microorganism ratio, dominant microflora abundance have good correlation, and the structure of community that can be used to characterize activated sludge is special
Levy.
The purpose of the present invention is realized by following technical proposals.
A kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space, the method is comprised the following steps：
1) sludge in sludge of sewage treatment plant system is taken as sample, is divided into the several pieces of equivalent；
2) several pieces mud sample is caused into sludge mud-water separation after suction filtration, obtains solid sludges on filter paper respectively；
3) some solid sludges for obtaining are shot with digital camera, same sample is shot and is shone no less than 20 width
Piece；
4) the close photo of at least 3 width sludge colors is therefrom chosen, each photos are carried out with specialized image analysis software
Analysis, respectively obtains R, G, B value；
5) H, S, V color coding that R, G, B value that will be obtained are converted into hsv color spatial model are changed by algorithm
Value, and Y, U, V the color coding value in YUV color space models；
6) repeat step 1)~5), the color coding value of sludge in different phase sludge of sewage treatment plant system is obtained, profit
Use formulaCalculate, respectively obtain the respective relative variation of color coding value；Wherein, R1, R2 represent continuous prison respectively
The two adjacent colour indexs surveyed；
7) in hsv color spatial model, the type of sludge system dominant microflora in target environment is characterized with H values, uses S
Value characterizes the various flora ratios in sludge system, and the abundance of the feature flora in sludge system is characterized with V values；
In YUV color space models, the abundance of the feature flora in sludge system is characterized with Y value；Characterized with V values dirty
Various flora ratios in mud system；
8) the respective relative variation of color coding value that will be respectively obtained is used to judge the micropopulation in sludge system
Fall feature；
When H, S, V color coding value and Y, U, V color coding value change, then it represents that the microorganism in sludge system
The type of the dominant microflora in COMMUNITY CHARACTERISTICS, each flora ratio, the abundance of feature flora there occurs change.
Further, in hsv color spatial model：
When H values change, then it represents that the type of dominant microflora there occurs change in target environment；
When S values change, then it represents that each flora ratio in sludge system there occurs change；
When V values change, then it represents that the abundance of feature flora there occurs change in sludge system；
And the variable quantity of H values and V values becomes with the variable quantity of S values, i.e., the type and function of dominant microflora in target environment
The abundance of property flora becomes with each flora ratio variable quantity.
In YUV color space models：
When Y value changes, then it represents that the abundance of feature flora there occurs change in sludge system；
When V values change, then it represents that each flora ratio in sludge system there occurs change；
And the variable quantity of Y value becomes with the variable quantity of V values, i.e., the abundance of feature flora is with each flora ratio variable quantity
Become.
Further, step 1) to ensure well mixed when the unrelated residue of mud sample elimination, sampling.
Further, step 2) in step 1) under conditions of, every part of mud sample takes 5~30ml, according to the big of sludge concentration
Small and mud sample mud-water separation proterties is selected, it is ensured that sludge region is not left white, and the suction filtration time is unsuitable long.
Further, the step 3) in, when shooting photo, be under the fixed-illumination on the day of every sub-sampling, fixed camera
Some photochromes that can reflect sludge true colors are shot under pattern.
Further, the time interval taken pictures is sampled, for aerobic sludge system, monitoring of taking pictures is sampled daily；For
Anaerobic sludge system, then sampling in 4d or a week takes pictures monitoring once.
Further, when being analyzed to photo with specialized image analysis software, the sludge region of free from admixture is selected.
Further, step 4) in, when being analyzed to the sludge region in photo, with the sampling frame of formed objects by sludge
Region segmentation carries out statistical analysis into several analysis objects, obtains rgb value.
Further, the step 5) in, rgb value is converted into color coding value, wherein, in hsv color spatial model,
H values are tone, and S values are saturation degree, and V values are lightness；In YUV color space models, Y value is lightness, and U values are color with V values
Degree.
Further, the step 7) in, target environment refers to denitrogenation in system operation, dephosphorization, Anammox or first
Alkane yeasting.
The present invention has advantages below：
1) it is quick effective, make up the deficiency of current methods.
Color change based on sludge system, can effectively and rapidly judge change in sludge system incubation and
Disposal ability, makes up the deficiency that disposal ability in system operation is difficult to assess.
2) it is easy to detect.
Step is simple and easy to apply, only need to the use of ordinary digital camera be that can obtain experimental data without adding any medicament.I.e.
It is that Sewage Plant staff without experience or without technological know-how can also be analyzed according to the method to sludge.
3) it is scientific and efficient.
Not this non-intuitive of water quality characterizes the index of Sewage Plant ruuning situation to the parameter that the present invention is used, but pays close attention to
On the core main body sludge of sewage disposal.The oneself state of sludge is only the key of real influence Sewage Plant operation.
Because color coding value is the index of a kind of simple, stabilization and convenient monitoring so that present invention may apply to
Most of operating sludge systems.And the present invention establishes a kind of fairly simple method to describe sludge system incubation
In biocenological change, be a kind of method for effectively improving sewage disposal operational management effect in general.
Brief description of the drawings
Fig. 1 (A) is the relative variation diagram of HSV in anaerobic ammonium oxidation sludge incubation in UASB reactors；
Fig. 1 (B) is the relative variation diagram of YUV in anaerobic ammonium oxidation sludge incubation in UASB reactors；
Fig. 2 (A), Fig. 2 (B) and Fig. 2 (C) are respectively the seed sludges, of anaerobic ammonia oxidation process in UASB reactors
Culture sludge, the breathing collection of illustrative plates for having cultivated successful anaerobic ammonium oxidation sludge；
Fig. 3 (A) is Anammox seed sludge in UASB reactors, cultivate anaerobic ammonium oxidation sludge,
Cultivate the high-flux sequence result complex chart of successful anaerobic ammonium oxidation sludge；
Fig. 3 (B) is Anammox seed sludge in UASB reactors, cultivate anaerobic ammonium oxidation sludge,
The Weighted samples of successful anaerobic ammonium oxidation sludge are cultivated apart from thermal map；
Fig. 4 (A), Fig. 4 (B) and Fig. 4 (C) be respectively HSV under the conditions of the aerobic Short-term Culture of SW Sewage Plants with respect to variation diagram,
SW Sewage Plants anaerobism stirring Short-term Culture under the conditions of HSV with respect to variation diagram, SW Sewage Plants anaerobism placement Short-term Culture under the conditions of
HSV with respect to variation diagram；
Fig. 4 (D), Fig. 4 (E) and Fig. 4 (F) be respectively YUV under the conditions of the aerobic Short-term Culture of SW Sewage Plants with respect to variation diagram,
SW Sewage Plants anaerobism stirring Short-term Culture under the conditions of YUV with respect to variation diagram, SW Sewage Plants anaerobism placement Short-term Culture under the conditions of
YUV with respect to variation diagram；
Fig. 5 figures (A), Fig. 5 (B), Fig. 5 (C) and 5 (D) are respectively that SW sewage plant sludge Short-term Cultures start under every kind of operating mode
With the breathing collection of illustrative plates at the end of Short-term Culture.
Specific embodiment
Below by specific embodiment, the present invention will be further described.
The present invention monitors biocenological differentiation method in sludge system by the color change of sludge.
The characterizing method of sludge microbe COMMUNITY CHARACTERISTICS of the present invention based on color space, comprises the following steps：
1) sludge in sludge of sewage treatment plant system is taken as sample, is divided into the several pieces of equivalent, it is ensured that sludge sample
Product filter off well mixed when unrelated residue, sampling.
2) sludge mud-water separation is obtained into sewage sludge solid on filter paper with vavuum pump and Suction filtration device.Every part of mud sample
5~30ml is taken, the mud-water separation proterties of size and mud sample according to sludge concentration is selected, it is ensured that do not stayed in sludge region
In vain, and the suction filtration time is unsuitable long.
3) sample of same sludge system, at interval of the same time in units of day (according to the micro- life of sludge system main body
The characteristic of thing determines that such as aerobic sludge system, growth of microorganism change is very fast, can monitor daily；Anaerobic sludge system, then may be used
Monitoring in 4d or one week is once) if being shot under using fixed-illumination of the digital camera on the day of every sub-sampling, under fixed camera pattern
The dry photochrome that can reflect sludge true colors, shoots to same sample and is no less than 20 photos；
4) at least 3 width and the most close photo of sludge true colors are therefrom chosen, dirt is carried out with specialized image analysis software
The rgb value analysis of mud；When being wherein analyzed to the sludge region in photo, the sludge region of free from admixture is selected, with identical
Sludge region segmentation into several analysis objects is carried out statistical analysis by the sampling frame of size, obtains rgb value；Wherein, R is represented
It is red；G represents green；B represents blueness；
5) R, G, B value that will obtain is changed by algorithm to be converted into remaining different types ofColor coding value；In hsv color
In spatial model, H values are tone, and S values are saturation degree, and V values are lightness；In YUV color space models, Y value is lightness, U
Value is colourity with V values；
6) repeat step 1)~5), the color coding value of different phase sludge of sewage treatment plant is obtained, using formulaCalculate, respectively obtain the respective relative variation of color coding value；Wherein, R1, R2 represent the two of continuous monitoring respectively
Individual adjacent colour index；
7) in hsv color spatial model, with H values characterize sludge system target environment (denitrogenation in referring to system operation,
The environment such as dephosphorization, Anammox or methane fermentation) in dominant microflora type, with S values characterize sludge system in various bacterium
Group's ratio, the abundance of the feature flora in sludge system is characterized with V values；
In YUV color space models, the abundance of the feature flora in sludge system is characterized with Y value；Characterized with V values dirty
Various flora ratios in mud system；
8) the respective relative variation of color coding value that will be respectively obtained is used to judge the micropopulation in sludge system
Fall feature；
When H, S, V color coding value and Y, U, V color coding value change, then it represents that the microorganism in sludge system
The type of the dominant microflora in COMMUNITY CHARACTERISTICS, each flora ratio, the abundance of feature flora there occurs change；
In hsv color spatial model：
(1) when H values change, then it represents that the type of dominant microflora there occurs change in target environment；
When H values are almost unchanged, then it represents that the type of dominant microflora does not change in target environment；
(2) when S values change, then it represents that each flora ratio in sludge system there occurs change；
When S values are almost unchanged, then it represents that each flora ratio in sludge system does not change；
(3) when V values change, then it represents that the abundance of feature flora there occurs change in sludge system；
When V values are almost unchanged, then it represents that the abundance of feature flora does not change in sludge system；
In YUV color space models：
(1) when Y value changes, then it represents that the abundance of feature flora there occurs change in sludge system；
When Y value is almost unchanged, then it represents that the abundance of feature flora does not change in sludge system；
(2) when V values change, then it represents that each flora ratio in sludge system there occurs change；
When V values are almost unchanged, then it represents that each flora ratio in sludge system does not change.
Effect of the present invention is further illustrated below by specific embodiment.
Embodiment 1
1) the anaerobic ammonium oxidation sludge 30ml in laboratory during UASB bioreactor cultures is periodically taken；
2) sludge mud-water separation is obtained into sewage sludge solid on filter paper with vavuum pump and Suction filtration device；
3) under the fixed-illumination with digital camera on the day of every sub-sampling, being shot under fixed camera pattern can reflect sludge
The photochrome of true colors is some；
4) three groups of photos most close with sludge true colors are chosen, the RGB of sludge is carried out with specialized image analysis software
Value analysis；
5) changed by algorithm and rgb value is converted into the color coding value such as H, S, V and Y, U, V；
6) repeat above step to continuously monitor sludge in the reactor, obtain the color of different cultivation stage sludge
Index change curve, by each index warpCalculate, wherein R1, R2 represents two adjacent color indexs；Obtain UASB
In reactor in anaerobic ammonium oxidation sludge incubation HSV relative variation diagram, shown in such as Fig. 1 (A)；And in UASB reactors
The changing trend diagram of YUV in anaerobic ammonium oxidation sludge incubation, shown in such as Fig. 1 (B)；
7) to the sludge sampling in representative stage in incubation, Xi'an Lv Biao water environments Science and Technology Ltd. is selected
The BM400 types sewage treatment plant running status intellectualized analysis platform of offer obtains anaerobism ammonia oxygen as the instrument of detection sludge OUR
The seed sludge of chemical industry skill, just in culture sludge, cultivated the breathing collection of illustrative plates of successful anaerobic ammonium oxidation sludge, such as Fig. 2
(A), shown in Fig. 2 (B), Fig. 2 (C)；
8) to the sludge sampling in representative stage in incubation, high-flux sequence analysis is carried out, obtains biota
Fall evolution process result, such as shown in table 1, Fig. 3 (A), 3 (B).
Embodiment 2
1) the sludge 6L in the SW Sewage Plant opel oxidation ditches of Xi'an City, Shanxi Province is taken, is divided into three groups, every group of setting two
Parallel laboratory test, Short-term Culture is carried out (in order to obtain not exclusively mixing this with muddy water under different dissolved oxygen conditions in laboratory
Mud sample under extreme condition)；
First group carries out continuous aeration culture；Second group with after nitrogen deoxygenation, covering preservative film is placed on magnetic stirring apparatus
Culture；3rd group, with preservative film is covered after nitrogen deoxygenation, remaining treatment is not carried out；
Every group of sludge is run continuous samples, mixed uniformly sludge 20ml is taken daily；
2) sludge mud-water separation is obtained into sewage sludge solid on filter paper with vavuum pump and Suction filtration device；
3) under the fixed-illumination with digital camera on the day of every sub-sampling, being shot under fixed camera pattern can reflect sludge
The photochrome of true colors is some；
4) three groups of photos most close with sludge true colors are chosen, the rgb value analysis of sludge is carried out with professional software；
5) rgb value is converted into by remaining different types of color coding value by software, obtains every group of different condition of culture
Under color change figure, by each index warpCalculate, wherein R1, R2 represents two adjacent color indexs；Obtain SW
HSV, YUV under the conditions of dirty aerobic Short-term Culture is with respect to HSV, YUV phase under the conditions of variation diagram, three dirty anaerobism stirring Short-term Cultures
Place that HSV, YUV under the conditions of Short-term Culture are relative to be changed to change, SW dirt anaerobism, such as Fig. 4 (A), Fig. 4 (B), Fig. 4 (C) and
Shown in Fig. 4 (D), 4 (E), 4 (F)；
6) Xi'an sewage treatment plant Short-term Culture is started and is cultivated the sludge sampling after terminating, select the green mark in Xi'an
The BM400 types sewage treatment plant running status intellectualized analysis platform that water environment Science and Technology Ltd. provides is used as detection sludge OUR
Instrument, obtain the breathing collection of illustrative plates at the end of sludge Short-term Culture under every kind of operating mode starts with Short-term Culture, such as Fig. 5 (A), Fig. 5
(B), shown in Fig. 5 (C) and Fig. 5 (D).
Embodiment is analyzed：
Embodiment 1：
From Fig. 1 (A), the variable quantity of S values more than H values, i.e. S values from high to low fluctuating change repeatedly when (S value changes
Amount is relatively large because being biosystem, in the process also inevitably with certain H, V value changes, variable quantity compared with
It is small, simply comparatively)；Be can be seen that from the change of H values：H values relative variation substantially also present first to reduce and increase afterwards
Trend, gradually increase in later stage variable quantity, and now, the flora ratio adjustment in reactor has reached a stabilization substantially
State；Be can be seen that from the change of V values：Although there is the trend for diminishing in the fluctuation of early stage V values, the later stage shows overall increase
Trend, i.e., the later stage fluctuation it is larger.
From Fig. 1 (B), the relative variation for running early stage (September 17 days before) V in reactor is larger, that is, fluctuate compared with
Greatly, variable quantity diminishes afterwards, tends towards stability；And the relative variation of Y value variable quantity before by the end of August is smaller, variable quantity afterwards
Increase；It is negative value because U values are computed drawing, does not analyze herein.
As shown in Fig. 2 (A)-(C), breathing collection of illustrative plates can represent the active size of sludge, and we first have a look from culture and open
Begin to the change of autotrophic bacterium SOUR and heterotroph SOUR during cultivating successfully, it is right that autotrophic bacterium is changed into 33% from initial 35%
It is changed into 40% again afterwards, experienced first reduces elevated change again, heterotroph is reduced to 43% and rises a height of by initial 54%
44%, it is also that experienced elevated change after first reduction.Illustrate that the denitrification functions of initial sludge are higher, then by initial-stage culture
Its denitrification functions is decreased, then after culture after a while, denitrification functions are raised again.
The Ah method's diversity indices statistical form of table 1：
1) coverage rate:The coverage rate in each sample library, its numerical value is higher, then the probability that sequence is not measured in sample is got over
It is low.The index is actual reflect this sequencing result whether the truth of representative sample.
Covering rate score illustrates that this sequencing result can be with representative sample truth all more than 0.90.
2) shannon index:For estimating one of biodiversity index in sample.Shannon values are bigger, illustrate group
Diversity is higher.
From the point of view of the index, anaerobic ammonium oxidation sludge ＜ just in culture sludge ＜ seed sludges, then illustrates community diversity
Anaerobic ammonium oxidation sludge ＜ is sending sample sludge ＜ seed sludges, the sludge community diversity highest being seeded initially, with culture
Carrying out, community diversity gradually reduces, and to cultivating when successfully, community diversity is minimum.
3) Chao indexes:Estimation of species sum is commonly used in ecology；
Ace indexes:It is one of common index of estimation of species sum in ecology.
From the point of view of the two indexes, just in culture sludge ＜ anaerobic ammonium oxidation sludges, i.e. total Number of Species connects seed sludge ＜
Sludge ＜ is planted just in culture sludge ＜ anaerobic ammonium oxidation sludges, is illustrated with the carrying out of incubation, total Number of Species is to increase
, that is, there occurs biological concentration.
As shown in Fig. 3 (A)：
1) in seed sludge content it is most be Ottowia category (6.92%), the category belongs to Proteobacteria
Proteobacteria, meanwhile, in seed sludge containing two kinds of anaerobic ammonia oxidizing bacteria Candidatus Kuenenia and
Candidatus Anammoxoglobus, but amount is not a lot.
2) with the carrying out of culture, the dominant bacteria in sludge becomes Armatimonadetes_gp5 (10.63%) category
In armoring bacterium door, while the amount of two kinds of anaerobic ammonia oxidizing bacterias becomes less, or even almost do not have.
3) dominant bacteria for cultivating successful Anammox sludge is then anaerobic ammonia oxidizing bacteria Candidatus
Anammoxoglobus (19.41%).Wherein also contain another anaerobic ammonia oxidizing bacteria Candidatus Kuenenia
(7.97%).
From seed sludge to the sludge strain change cultivated it will be seen that flora has occurred that change,
I.e. flora ratio has occurred that change within this time.But by the culture of some months, initial seed sludge ability shape
Into the sludge with anaerobic ammonia oxidizing bacteria Candidatus Anammoxoglobus as dominant microflora, illustrate in M8003 line condition
The formation of lower dominant microflora needs certain hour.
As shown in Fig. 3 (A), color lump represents distance value, color is redder represent sample between distance it is nearer, similarity is higher, more
It is that more blue then distance is more remote.Comparatively speaking, distance value is maximum, i.e., what microbiologic population's difference was maximum between sample is
Between Inoculated and Anammox, distance value it is minimum be Inoculated and Cultivated, i.e. Inoculated with
Microbiologic population's otherness is smaller compared to otherness between Inoculated and Anammox between Cultivated.
Otherness of being compared between Cultivated and Anammox is smaller, but still has certain difference between Anammox sludge
It is different, illustrate that sludge now is converted to Anammox sludge, system is to become closer in also illustrating whole change procedure
Anammox systems.
So in sum, S values can characterize flora ratio, (S value changes amount phases are first changed during system change
To larger, because being biosystem, in the process also inevitably with certain H, V value changes, variable quantity is smaller, only
It is comparatively), H values can characterize the type of dominant microflora under target environment, typically phase change after incubation.V values characterize function
The abundance of property flora, is just raised in the later stage, and the denitrification ability of later stage sludge is also raised.In this color space models of YUV, Y
Then represent identical with the V in HSV, characterize the abundance of feature flora, V then illustrates the implication of S in HSV, characterizes each flora
Ratio.
Embodiment 2：
Be can be seen that during the Short-term Culture of different modes by Fig. 4 (A), 4 (B), 4 (C), the relative variation of S values
Always more than the relative variation of H values.This also illustrates that S values characterize the ratio of each flora in sludge system, and in system change
When the parameter first change, then H value changes.
By Fig. 4 (D), 4 (E), 4 (F) as can be seen that V value relative variations are both greater than the relative of Y value under the conditions of nearly all
Variable quantity, i.e., each system is all first to have carried out the adjustment of flora ratio.
From each index of breathing collection of illustrative plates for representing sludge activity, the autotrophic bacterium OUR of three kinds of different training methods goes out
Show slightly elevated trend, and the OUR of heterotroph is then slightly to reduce.But its summation is all the trend for reducing, then sludge
Denitrification functions are slightly reduced in general.Because during Short-term Culture, all of system first carries out flora ratio
Adjustment, i.e. in HSV in S values and YUV V values change, certainly will so cause sludge original function temporarily to weaken, such as Fig. 5
(A) shown in the change of-Fig. 5 (D) breathings collection of illustrative plates.Because the Short-term Culture time is shorter, the system has only carried out some changes of Initial stage of culture
Change, i.e. the adjustment of flora ratio, and the appearance and the increase of amount of new dominant microflora, showed not during the Short-term Culture
Substantially.
Claims (9)
1. a kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space, it is characterised in that comprise the steps：
1) sludge in sludge of sewage treatment plant system is taken as sample, is divided into the several pieces of equivalent；
2) several pieces mud sample is caused into sludge mud-water separation after suction filtration, obtains solid sludges on filter paper respectively；
3) some solid sludges for obtaining are shot with digital camera, same sample is shot and is no less than 20 photos；
4) the close photo of at least 3 width sludge colors is therefrom chosen, each photos are analyzed with specialized image analysis software,
Respectively obtain R, G, B value；
5) H, S, V color coding value that R, G, B value that will be obtained are converted into hsv color spatial model are changed by algorithm, with
And Y, U, V the color coding value in YUV color space models；
6) repeat step 1)~5), the color coding value of sludge in different phase sludge of sewage treatment plant system is obtained, using public affairs
FormulaCalculate, respectively obtain the respective relative variation of color coding value；Wherein, R1, R2 represent continuous monitoring respectively
Two adjacent colour indexs；
7) in hsv color spatial model, the type of sludge system dominant microflora in target environment is characterized with H values, with S value tables
The various flora ratios in sludge system are levied, the abundance of the feature flora in sludge system is characterized with V values；
In YUV color space models, the abundance of the feature flora in sludge system is characterized with Y value；Sludge system is characterized with V values
Various flora ratios in system；
8) the respective relative variation of color coding value that will be respectively obtained is used to judge that the microbiologic population in sludge system is special
Levy；
When H, S, V color coding value and Y, U, V color coding value change, then it represents that the microbiologic population in sludge system
The type of the dominant microflora in feature, each flora ratio, the abundance of feature flora there occurs change.
2. the characterizing method of a kind of sludge microbe COMMUNITY CHARACTERISTICS based on color space according to claim 1, it is special
Levy and be, in hsv color spatial model：
When H values change, then it represents that the type of dominant microflora there occurs change in target environment；
When S values change, then it represents that each flora ratio in sludge system there occurs change；
When V values change, then it represents that the abundance of feature flora there occurs change in sludge system；
And the variable quantity of H values and V values becomes with the variable quantity of S values, i.e., the type of dominant microflora and feature bacterium in target environment
The abundance of group becomes with each flora ratio variable quantity.
3. the characterizing method of a kind of sludge microbe COMMUNITY CHARACTERISTICS based on color space according to claim 1, it is special
Levy and be, in YUV color space models：
When Y value changes, then it represents that the abundance of feature flora there occurs change in sludge system；
When V values change, then it represents that each flora ratio in sludge system there occurs change；
And the variable quantity of Y value becomes with the variable quantity of V values, i.e., the abundance of feature flora becomes with each flora ratio variable quantity.
4. the characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space according to claim 1, its feature exists
In the step 3) in, when shooting photo, if to be shot under the fixed-illumination on the day of every sub-sampling, under fixed camera pattern
The dry photochrome that can reflect sludge true colors.
5. the color representation method that biocoene develops in the monitoring sludge based on color space according to claim 1,
Characterized in that, the time interval that sampling is taken pictures, for aerobic sludge system, is sampled monitoring of taking pictures daily；For anaerobism
Sludge system, then sampling in 4d or a week takes pictures monitoring once.
6. the characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space according to claim 1, its feature exists
In when being analyzed to photo with specialized image analysis software, selecting the sludge region of free from admixture.
7. the characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space according to claim 1, its feature exists
In the step 4) in, when being analyzed to the sludge region in photo, with the sampling frame of formed objects by sludge region segmentation
Into several analysis objects, statistical analysis is carried out, obtain R, G, B value.
8. the characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space according to claim 1, its feature exists
In the step 5) in, rgb value is converted into color coding value, wherein, in hsv color spatial model, H values are tone, S
It is saturation degree to be worth, and V values are lightness；In YUV color space models, Y value is lightness, and U values are colourity with V values.
9. the characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space according to claim 1, its feature exists
In the step 7) in, target environment refers to denitrogenation in system operation, dephosphorization, Anammox or methane fermentation environment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611045185.3A CN106769893B (en) | 2016-11-22 | 2016-11-22 | A kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611045185.3A CN106769893B (en) | 2016-11-22 | 2016-11-22 | A kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106769893A true CN106769893A (en) | 2017-05-31 |
| CN106769893B CN106769893B (en) | 2019-04-05 |
Family
ID=58974129
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611045185.3A Active CN106769893B (en) | 2016-11-22 | 2016-11-22 | A kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106769893B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113073039A (en) * | 2021-03-23 | 2021-07-06 | 重庆民朗科技有限公司 | Colorimetric blood culture interpretation method and device |
| CN116797557A (en) * | 2023-05-31 | 2023-09-22 | 浙江沃乐科技有限公司 | Device for intelligent sensing of anaerobic ammonia oxidation sludge activity |
| CN117953495A (en) * | 2024-03-27 | 2024-04-30 | 北京大学口腔医学院 | Oral cavity microbial flora segmentation method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1793913A (en) * | 2005-12-28 | 2006-06-28 | 浙江工业大学 | Biological water monitoring device based on machine vision |
| CN101477630A (en) * | 2009-02-17 | 2009-07-08 | 吴俊� | System and method for intelligent water treatment micro-organism machine vision identification |
| CN102637262A (en) * | 2012-03-09 | 2012-08-15 | 上海凯度机电科技有限公司 | Adaptive bacterium counting method |
| CN104992447A (en) * | 2015-07-24 | 2015-10-21 | 安徽工业大学 | Automatic image detection method for moving microorganisms in sewage |
-
2016
- 2016-11-22 CN CN201611045185.3A patent/CN106769893B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1793913A (en) * | 2005-12-28 | 2006-06-28 | 浙江工业大学 | Biological water monitoring device based on machine vision |
| CN101477630A (en) * | 2009-02-17 | 2009-07-08 | 吴俊� | System and method for intelligent water treatment micro-organism machine vision identification |
| CN102637262A (en) * | 2012-03-09 | 2012-08-15 | 上海凯度机电科技有限公司 | Adaptive bacterium counting method |
| CN104992447A (en) * | 2015-07-24 | 2015-10-21 | 安徽工业大学 | Automatic image detection method for moving microorganisms in sewage |
Non-Patent Citations (1)
| Title |
|---|
| 吕永涛 等: ""厌氧氨氧化在生物转盘系统中的实现"", 《环境科学学报》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113073039A (en) * | 2021-03-23 | 2021-07-06 | 重庆民朗科技有限公司 | Colorimetric blood culture interpretation method and device |
| CN113073039B (en) * | 2021-03-23 | 2022-09-06 | 重庆民朗科技有限公司 | Colorimetric blood culture interpretation method and device |
| CN116797557A (en) * | 2023-05-31 | 2023-09-22 | 浙江沃乐科技有限公司 | Device for intelligent sensing of anaerobic ammonia oxidation sludge activity |
| CN117953495A (en) * | 2024-03-27 | 2024-04-30 | 北京大学口腔医学院 | Oral cavity microbial flora segmentation method |
| CN117953495B (en) * | 2024-03-27 | 2024-06-04 | 北京大学口腔医学院 | Oral cavity microbial flora segmentation method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106769893B (en) | 2019-04-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Wu et al. | Simultaneous nitrification, denitrification and phosphorus removal: What have we done so far and how do we need to do in the future? | |
| CN106769893B (en) | A kind of characterizing method of the sludge microbe COMMUNITY CHARACTERISTICS based on color space | |
| Young et al. | Meso and micro-scale response of post carbon removal nitrifying MBBR biofilm across carrier type and loading | |
| Gao et al. | Ammonium removal characteristics of heterotrophic nitrifying bacterium Pseudomonas stutzeri GEP-01 with potential for treatment of ammonium-rich wastewater | |
| CN102864075B (en) | Ammonia-oxidizing bacterium screening and testing reagent box, screening and testing method and bacterium sample separating method | |
| Liu et al. | Redox zones stratification and the microbial community characteristics in a periphyton bioreactor | |
| Gong et al. | Cow manure anaerobic fermentation effluent treatment by oxygen-based membrane aerated biofilm reactor | |
| JPH07114685B2 (en) | Sewage treatment equipment | |
| Peng et al. | Microbiology community changes during the start-up and operation of a photosynthetic bacteria-membrane bioreactor for wastewater treatment | |
| Trevathan-Tackett et al. | Spatial variation of bacterial and fungal communities of estuarine seagrass leaf microbiomes | |
| Miłobędzka et al. | Population dynamics of filamentous bacteria identified in Polish full-scale wastewater treatment plants with nutrients removal | |
| CN109081447B (en) | Method for removing nitrogen and phosphorus in culture wastewater by combining chlorella, acinetobacter and pseudomonas | |
| Cho et al. | Nitrogen and phosphorus treatment of marine wastewater by a laboratory-scale sequencing batch reactor with eco-friendly marine high-efficiency sediment | |
| Zhang et al. | Treatment of municipal wastewater by employing membrane bioreactors combined with efficient nitration microbial communities isolated by Isolation Chip with Plate Streaking technology | |
| CN106846312A (en) | A kind of method of the monitoring sludge system hydraulics change based on color space | |
| Mohammed et al. | Long-term operation of a novel pilot-scale six tanks alternately operating activated sludge process in treating domestic wastewater | |
| CN101029298A (en) | Production of efficient microbe bacteria combing agent | |
| Jiao et al. | Energy saving control strategies for Haliscomenobacter hydrossis filamentous sludge bulking in the A/O process treating real low carbon/nitrogen domestic wastewater | |
| Kanders et al. | Rapid start-up of one-stage deammonification MBBR without addition of external inoculum | |
| Hakim et al. | Development of microalgal-bacterial aerobic granules for ammonium removal from wastewater in a photo sequencing batch reactor | |
| CN103571759B (en) | Method for screening obligate aerobic denitrification fungi | |
| CN116162561A (en) | Strain with low temperature resistance and aerobic denitrification functions and application thereof | |
| CN109607973A (en) | A method of improving paper waste biological treatment efficiency | |
| CN109402029B (en) | Separation and purification method of ammonia nitrogen degrading bacteria, ammonia nitrogen degrading bacteria and application | |
| JPH06153922A (en) | Microbe capable of degrading edible fatty oil and usage thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |