CN1821746A - Online detecting method for water treating flocuclation effect particle counting dimension - Google Patents
Online detecting method for water treating flocuclation effect particle counting dimension Download PDFInfo
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- CN1821746A CN1821746A CN 200610009870 CN200610009870A CN1821746A CN 1821746 A CN1821746 A CN 1821746A CN 200610009870 CN200610009870 CN 200610009870 CN 200610009870 A CN200610009870 A CN 200610009870A CN 1821746 A CN1821746 A CN 1821746A
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Abstract
This invention relates to a grain counting typing dimension online test method for water process flocculate effect including the following steps: mounting a grain counting device in a water-plant to test particle numbers of micro-flocculate water samples of 8 channels on-line to operate according to the test value N of each channel, value D of the particle diameter and sum of the particles P to get a mean size value M then operates according to M and its standard deviation value A to get the counting typing dimension value E expressing the typing structure property of micro-flocs.
Description
Technical field
The invention belongs to field of environment protection, relate to a kind of water treatment detection method.
Background technology
In the water treatment production run, the degree of perfection of particle flocculation directly affects the treatment effect of subsequent treatment as technique units such as precipitation, filtrations.Because flocculation is the ash bin Large-lag System, therefore traditional modeling method often can not promptly and accurately obtain the quantitative information of flocculation process.The streaming current detection technique of having developed with widespread use is only applicable to the conventional coagulant of electrolytes, still can not be directly used in the flocculation process that adds the nonelectrolyte series polymeric flocculant and detect.The transmittance pulsation detection technology that occurs at the year ends 80, though the change of size of particulate matter in can online detection water, its technology is immature, exist raw water turbidity change to the default value influence greatly, system is unstable and the more high shortcoming of cost.In recent years, many electron microscopic observations find that the water treatment flco is between orderly and unordered intermediateness, and looking like of it is random and complicated, and its internal feature then is to have self-similarity and from affinity, the key character that this is fractal just.As a kind of emerging flocculation research means, fractal theory has inspired the researchist that floc unit structure, coagulation mechanism and kinetic model are made further understanding.But study at present flco fractal normally with solids precipitation in the water on microscopical microslide, with the static images structure of an anti-phase microscopic particle.Because these class methods are envelope tests, the particle size distribution that draws is bigger than normal, the fractal dimension of being surveyed is insensitive to the state of sampling site, can not accurately explain for dynamic processes such as flco growth, fragmentations, therefore can not satisfy actual water treatment and produce of the requirement of flocculation dispensing process the control of flocculating effect quick online detection.
Summary of the invention
The objective of the invention is for solve conventional water treatment flocculating effect detection method can not accurate response water in the flco dynamic changing process, retardation time is long, problems such as accommodation is narrow, a kind of online detecting method for water treating flocuclation effect particle counting dimension is provided, this method breaks through the limitation that tradition flocculation image divides the dimension detection method, utilize grain count instrument micro-floccule particle actual size and distributed number characteristics detection flocculation reaction effect from water, be a kind of new idea in this field and detection means, it is applied in the water treatment procedure, can promote the to flocculate optimal control of dispensing technology has very high society and economy benefit.Method of the present invention realizes by following steps: (1) installs online grain count instrument near water factory's static mixer; (2) get the complete mixed little flocculation water sample of dispensing on the pipeline before static mixer to reaction tank enters the mouth and carry out continuous detecting; (3) 8 particle diameter passages of the online detection of grain count instrument are set, the particle size range numerical value of each passage representative is: passage 0=2～10 μ m, passage 1=10～20 μ m, passage 2=20～30 μ m, passage 3=30～40 μ m, passage 4=40～55 μ m, passage 5=55～70 μ m, passage 6=70～85 μ m, passage 7=85～100 μ m; (4) get the granule number detected value N (population/milliliter) of each passage: N
0, N
1, N
2, N
3, N
4, N
5, N
6, N
7(5) get the particle size range higher limit H (μ m) of each passage representative: H
0=10, H
1=20, H
2=30, H
3=40, H
4=55, H
5=70, H
6=85, H
7=100; (6) get the particle size range lower limit L (μ m) of each passage representative: L
0=2, L
1=10, L
2=20, L
3=30, L
4=45, L
5=55, L
6=70, L
7=85; (7) carry out computing according to the particle size range lower limit L of the particle size range higher limit H of each passage representative and each passage representative and obtain each passage median particle size D, formula is: D
0=(H
0+ L
0)/2, D
1=(H
1+ L
1)/2; D
2=(H
2+ L
2)/2; D
3=(H
3+ L
3)/2; D
4=(H
4+ L
4)/2; D
5=(H
5+ L
5)/2; D
6=(H
6+ L
6)/2; D
7=(H
7+ L
7)/2; (8) the granule number detected value N addition of each passage, the total number of particles value P that draws in 2～100 μ m particle size range is: P=N
0+ N
1+ N
2+ N
3+ N
4+ N
5+ N
6+ N
7(9) carry out computing according to granule number detected value N, each passage median particle size D of each passage and total number of particles value P and obtain mean grain size value M, formula is: M=(D
0* N
0+ D
1* N
1+ D
2* N
2+ D
3* N
3+ D
4* N
4+ D
5* N
5+ D
6* N
6+ D
7* N
7)/P; (10) carry out computing according to the granule number detected value N of each passage median particle size D, mean grain size value M, each passage and total number of particles value P and obtain size grade scale deviate A, formula is: A=[(D
0-M)
2* N
0+ (D
1-M)
2* N
1+ (D
2-M)
2* N
2+ (D
3-M)
2* N
3+ (D
4-M)
2* N
4+ (D
5-M)
2* N
5+ (D
6-M)
2* N
6+ (D
7-M)
2* N
7]
1/2(P-1)
1/2(11) carry out the counting FRACTAL DIMENSION numerical value E that computing obtains flco according to mean grain size value M and size grade scale deviate A, formula is: E=lnM/ (lnA)
2(12) get the evaluation index of counting FRACTAL DIMENSION numerical value E value as detection water treatment flocculating effect: E is big more for counting FRACTAL DIMENSION numerical value, and the water treatment flocculating effect is good more, and E is more little for counting FRACTAL DIMENSION numerical value, and the water treatment flocculating effect is poor more.
Experiment is found, the water technology dispensing mixes the interior micro-floccule distribution of particles of back pipeline fully and has good statistical self-similarity, have fractal structure, the counting FRACTAL DIMENSION numerical value E of reflection micro-floccule fractal structure characteristics can calculate by the funtcional relationship with mean grain size value M and size grade scale deviate A.There are good correlativity in counting FRACTAL DIMENSION numerical value E and water treatment flocculating effect, therefore can be used as the evaluation index that detects the water treatment flocculating effect.The present invention utilizes the grain count method of simple and feasible to calculate the fractal dimension of micro-floccule, with its evaluation index as detection water treatment flocculating effect, greatly shortened detection retardation time, strengthened the dynamic perfromance of water treatment dispensing control system, thereby can significantly increase water quality fraction, prolong filter back washing cycle and life-span of filtering material, and can improve producing water ratio.
Description of drawings
Fig. 1 is the process flow diagram of detection method of the present invention.
Embodiment
Embodiment one: as shown in Figure 1, the online as follows detection water treatment of present embodiment flocculating effect: (1) installs online grain count instrument near water factory's static mixer; (2) get the complete mixed little flocculation water sample of dispensing on the pipeline before static mixer to reaction tank enters the mouth and carry out continuous detecting; (3) 8 particle diameter passages of the online detection of grain count instrument are set, the particle size range numerical value of each passage representative is: passage 0=2～10 μ m, passage 1=10～20 μ m, passage 2=20～30 μ m, passage 3=30～40 μ m, passage 4=40～55 μ m, passage 5=55～70 μ m, passage 6=70～85 μ m, passage 7=85～100 μ m; (4) get the granule number detected value N (population/milliliter) of each passage: N
0, N
1, N
2, N
3, N
4, N
5, N
6, N
7(5) get the particle size range higher limit H (μ m) of each passage representative: H
0=10, H
1=20, H
2=30, H
3=40, H
4=55, H
5=70, H
6=85, H
7=100; (6) get the particle size range lower limit L (μ m) of each passage representative: L
0=2, L
1=10, L
2=20, L
3=30, L
4=45, L
5=55, L
6=70, L
7=85; (7) carry out computing according to the particle size range lower limit L of the particle size range higher limit H of each passage representative and each passage representative and obtain each passage median particle size D, formula is: D
0=(H
0+ L
0)/2, D
1=(H
1+ L
1)/2; D
2=(H
2+ L
2)/2; D
3=(H
3+ L
3)/2; D
4=(H
4+ L
4)/2; D
5=(H
5+ L
5)/2; D
6=(H
6+ L
6)/2; D
7=(H
7+ L
7)/2; (8) the granule number detected value N addition of each passage, the total number of particles value P that draws in 2～100 μ m particle size range is: P=N
0+ N
1+ N
2+ N
3+ N
4+ N
5+ N
6+ N
7(9) carry out computing according to granule number detected value N, each passage median particle size D of each passage and total number of particles value P and obtain mean grain size value M, formula is: M=(D
0* N
0+ D
1* N
1+ D
2* N
2+ D
3* N
3+ D
4* N
4+ D
5* N
5+ D
6* N
6+ D
7* N
7)/P; (10) carry out computing according to the granule number detected value N of each passage median particle size D, mean grain size value M, each passage and total number of particles value P and obtain size grade scale deviate A, formula is: A=[(D
0-M)
2* N
0+ (D
1-M)
2* N
1+ (D
2-M)
2* N
2+ (D
3-M)
2* N
3+ (D
4-M)
2* N
4+ (D
5-M)
2* N
5+ (D
6-M)
2* N
6+ (D
7-M)
2* N
7]
1/2(P-1)
1/2(11) carry out the counting FRACTAL DIMENSION numerical value E that computing obtains flco according to mean grain size value M and size grade scale deviate A, formula is: E=lnM/ (lnA)
2(12) get the evaluation index of counting FRACTAL DIMENSION numerical value E value as detection water treatment flocculating effect: E is big more for counting FRACTAL DIMENSION numerical value, and the water treatment flocculating effect is good more, and E is more little for counting FRACTAL DIMENSION numerical value, and the water treatment flocculating effect is poor more.
Online grain count instrument described in the present embodiment can be selected the 2200PCX type of U.S. Hash company (HACH) manufacturing or the online grain count instrument of PC2400D type that U.S. Chemtrac company makes for use, and the sampling flow velocity is 100mL/min.
Claims (3)
1, online detecting method for water treating flocuclation effect particle counting dimension is characterized in that described detection method realizes by following steps:
(1) online grain count instrument is installed near water factory's static mixer;
(2) get the complete mixed little flocculation water sample of dispensing on the pipeline before static mixer to reaction tank enters the mouth and carry out continuous detecting;
(3) 8 particle diameter passages of the online detection of grain count instrument are set, the particle size range numerical value of each passage representative is: passage 0=2～10 μ m, passage 1=10～20 μ m, passage 2=20～30 μ m, passage 3=30～40 μ m, passage 4=40～55 μ m, passage 5=55～70 μ m, passage 6=70～85 μ m, passage 7=85～100 μ m;
(4) get the granule number detected value N:N of each passage
0, N
1, N
2, N
3, N
4, N
5, N
6, N
7
(5) get the particle size range higher limit H:H of each passage representative
0=10, H
1=20, H
2=30, H
3=40, H
4=55, H
5=70, H
6=85, H
7=100;
(6) get the particle size range lower limit L:L of each passage representative
0=2, L
1=10, L
2=20, L
3=30, L
4=45, L
5=55, L
6=70, L
7=85;
(7) carry out computing according to the particle size range lower limit L of the particle size range higher limit H of each passage representative and each passage representative and obtain each passage median particle size D, computing formula is: D
0=(H
0+ L
0)/2, D
1=(H
1+ L
1)/2; D
2=(H
2+ L
2)/2; D
3=(H
3+ L
3)/2; D
4=(H
4+ L
4)/2; D
5=(H
5+ L
5)/2; D
6=(H
6+ L
6)/2; D
7=(H
7+ L
7)/2;
(8) the granule number detected value N addition of each passage draws the total number of particles value P in 2～100 μ m particle size range, and computing formula is: P=N
0+ N
1+ N
2+ N
3+ N
4+ N
5+ N
6+ N
7
(9) carry out computing according to granule number detected value N, each passage median particle size D of each passage and total number of particles value P and obtain mean grain size value M, computing formula is: M=(D
0* N
0+ D
1* N
1+ D
2* N
2+ D
3* N
3+ D
4* N
4+ D
5* N
5+ D
6* N
6+ D
7* N
7)/P;
(10) carry out computing according to the granule number detected value N of each passage median particle size D, mean grain size value M, each passage and total number of particles value P and obtain size grade scale deviate A, computing formula is: A=[(D
0-M)
2* N
0+ (D
1-M)
2* N
1+ (D
2-M)
2* N
2+ (D
3-M)
2* N
3+ (D
4-M)
2* N
4+ (D
5-M)
2* N
5+ (D
6-M)
2* N
6+ (D
7-M)
2* N
7]
1/2/ (P-1)
1/2
(11) carry out the counting FRACTAL DIMENSION numerical value E that computing obtains flco according to mean grain size value M and size grade scale deviate A, computing formula is: E=lnM/ (lnA)
2
(12) get the evaluation index of counting FRACTAL DIMENSION numerical value E value as detection water treatment flocculating effect: E is big more for counting FRACTAL DIMENSION numerical value, and the water treatment flocculating effect is good more, and E is more little for counting FRACTAL DIMENSION numerical value, and the water treatment flocculating effect is poor more.
2, online detecting method for water treating flocuclation effect particle counting dimension according to claim 1 is characterized in that the online grain count instrument of PC2400D type that described online grain count instrument selects for use 2200PCX type that U.S. Hash company makes or U.S. Chemtrac company to make.
3, online detecting method for water treating flocuclation effect particle counting dimension according to claim 1, the flow velocity that it is characterized in that taking a sample is 100mL/min.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2006100098700A CN100529729C (en) | 2006-03-29 | 2006-03-29 | Online detecting method for water treating flocuclation effect particle counting dimension |
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|---|---|---|---|
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| CN100529729C CN100529729C (en) | 2009-08-19 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110987769A (en) * | 2019-12-26 | 2020-04-10 | 江苏苏净集团有限公司 | Calibration method of liquid particle counter |
| CN116008139A (en) * | 2023-03-27 | 2023-04-25 | 华中科技大学 | Evaluation method and evaluation system for fractal dimension of particles in dispersion system |
-
2006
- 2006-03-29 CN CNB2006100098700A patent/CN100529729C/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110987769A (en) * | 2019-12-26 | 2020-04-10 | 江苏苏净集团有限公司 | Calibration method of liquid particle counter |
| CN110987769B (en) * | 2019-12-26 | 2022-02-18 | 江苏苏净集团有限公司 | Calibration method of liquid particle counter |
| CN116008139A (en) * | 2023-03-27 | 2023-04-25 | 华中科技大学 | Evaluation method and evaluation system for fractal dimension of particles in dispersion system |
| US11907331B1 (en) | 2023-03-27 | 2024-02-20 | Huazhong University Of Science And Technology | Method and system for evaluating fractal dimension of particle matter in dispersing system |
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| Publication number | Publication date |
|---|---|
| CN100529729C (en) | 2009-08-19 |
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Granted publication date: 20090819 Termination date: 20130329 |