Method for determining dispersing performance of medicament to slime

Abstract

The invention relates to the technical field of water treatment, and discloses a method for measuring the dispersing performance of a medicament on slime. The method comprises the following steps: (1) carrying out first mixing on water and slime to obtain a mixture I; under the standing condition, the current intensity received by the mixture I at the t moment is measured by adopting a real-time automatic in-situ monitoring device; (2) carrying out second mixing on the mixture I and a medicament to be detected to obtain a mixture II; under the standing condition, the current intensity received by the mixture II at the t moment is measured by adopting a real-time automatic in-situ monitoring device; (3) calculating the turbidity of the mixture I and the turbidity of the mixture II at the moment t through a formula (I); and (4) calculating through a formula (II) to obtain the dispersion rate of the medicament to be detected at the moment t. The method provided by the invention has the advantage of simplicity and convenience in operation, in-situ monitoring and automatic recording of test data can be realized, and the precision of a dispersion rate calculation result and the accuracy of an evaluation result are greatly improved.

Description

Technical Field

[0001] The invention relates to the technical field of water treatment, in particular to a method for measuring the dispersibility of a medicament on slime. Background Art

[0002] The formation of biological slime is a common problem in circulating cooling water systems. It will lead to a decrease in the heat exchange efficiency of the heat exchanger and the cooling efficiency of the cooling tower, deterioration of water quality, and accelerated local corrosion of equipment, ultimately leading to an increase in system operating costs and a shortened lifespan.

[0003] Using a slime stripping agent to strip the slime that has grown on equipment and pipe walls is a common slime control method. After the high-concentration slime stripping agent is injected in an impact manner, the circulating water is allowed to stay in the system for a certain period of time. When the turbidity of the circulating water reaches the highest point, a large amount of sewage is discharged and a large amount of new water is added. The slime stripping property of the agent is the main indicator for examining the slime control performance of the agent.

[0004] At present, in order to respond to the call of petrochemical enterprises for energy conservation, water conservation and emission reduction, the sludge stripping scheme of enterprises has gradually changed from "large-scale sewage discharge and large-scale water replenishment" to "small-scale sewage discharge and small-scale water replenishment". However, when implementing the "less discharge and less replenishment" scheme, enterprises found that due to the slow sewage discharge and small sewage discharge volume, some of the stripped sludge would be re-deposited on the surface of equipment and pipelines, causing secondary harm. Maintaining the dispersibility of the stripped sludge has become an urgent problem to be solved at this stage. The dispersibility of the sludge treatment agent has also changed from the property of "auxiliary stripping" to the property that the agent needs to focus on.

[0005] At present, there are two commonly used methods for evaluating the dispersibility of pharmaceutical sludge: kaolin dispersion method and sludge dispersion method. The kaolin dispersion method tests the dispersibility of the pharmaceutical on kaolin. Add a certain amount of kaolin mother liquor and a certain concentration of pharmaceutical, and stir thoroughly in a 55°C constant temperature water bath. After standing, take the supernatant, use a 3cm cuvette, and use a spectrophotometer to determine the absorbance of the supernatant at 420nm. The greater the absorbance, the better the dispersibility of the pharmaceutical. However, since kaolin is denser than biological sludge and is not sticky, the experimental results have large errors. The sludge dispersion method replaces kaolin with cultured sludge, so that the experiment can better represent the situation of circulating water in industrial sites.

[0006] At present, the slime dispersion method is a more commonly used method for evaluating the performance of slime dispersants.

[0007] However, the current sludge dispersion method also has obvious defects. First, although the weight of sludge added in each test is consistent, the initial turbidity without drug addition is different due to the uneven culture of sludge. This will lead to poor accuracy, reduced repeatability and precision when using this method to evaluate the dispersibility of the agent; in addition, the operation of "absorb the supernatant to measure the absorbance" is highly subjective, and different operators or the same operator may have different positions when aspirating different samples, which further increases the error of the analysis results of this method and reduces the accuracy and precision of this method; finally, since the absorbance of the supernatant is measured in situ, there is a time difference from the end of standing to the measurement of the absorbance of the supernatant, which results in the time of each group of tests not being completely equal when multiple groups of tests are carried out simultaneously. This will also affect the repeatability and precision of this method.

[0008] In summary, in the context that the dispersibility of the agent on the slime has become a key performance evaluation, it is necessary to provide a better method for evaluating the dispersibility of the agent on the slime. Summary of the invention

[0009] The purpose of the present invention is to overcome the defects of the existing method for evaluating the dispersibility of the agent on the slime, such as large influence of human operation error, poor accuracy and precision, and to provide a new method with good accuracy and high precision.

[0010] In order to achieve the above object, the present invention provides a method for measuring the dispersibility of a medicament on slime, the method comprising:

[0011] (1) first mixing water and sludge to obtain a mixture I; under static conditions, using a real-time automatic in-situ monitoring device to measure the current intensity I received at point M of the mixture I at time t kt ;

[0012] (2) Mixing the mixture I with the test agent for a second time to obtain a mixture II; under static conditions, using a real-time automatic in-situ monitoring device to measure the current intensity I received by point M of the mixture II at time t jt ;

[0013] (3) The turbidity TU of the mixture I at time t is calculated by formula (I): kt and the turbidity TU of the mixture II jt ;

[0014] TU=-l -1 ×ln(I t / I0) formula (I);

[0015] (4) Calculating the dispersion rate D of the drug to be tested at time t by formula (II);

[0016] D=(TU jt -TU kt ) / TU kt Formula (II);

[0017] The point M is a point 1-3 mm vertically below the upper liquid surface of the mixture I or the mixture II;

[0018] Wherein, in formula (I) and formula (II),

[0019] l represents the distance between the laser emission point and the laser receiving point in the real-time automatic in-situ monitoring device, in cm;

[0020] I t It indicates the current intensity of the laser receiving point at time t in the real-time automatic in-situ monitoring device, in mA;

[0021] I0 represents the current intensity at the laser emission point in the real-time automatic in-situ monitoring device, in mA.

[0022] When the method provided by the present invention is used to evaluate the dispersibility of the agent on the slime, the influence of the uneven slime sample on the agent evaluation can be effectively eliminated, and the human operation error can be reduced. At the same time, the method provided by the present invention also has the advantage of simple operation. The whole operation process can realize the in-situ monitoring and automatic recording of the test data, greatly improving the precision of the dispersion rate calculation result and the accuracy of the evaluation result. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a schematic diagram of a preferred real-time automatic in-situ monitoring device provided by the present invention;

[0024] Figure 2 It is a fitting result diagram of the current intensity data of the mixture I when the test agent is dodecyldimethylbenzylammonium chloride in Example 1 provided by the present invention.

[0025] Description of Reference Numerals

[0026] 1-Laser transmitter 2-Container A 3-Container B

[0027] 4-Stirring bar 5-Temperature controlled magnetic heating stirrer

[0028] 6-Silicon photodiode 7-Data acquisition device

[0029] 8-Computer DETAILED DESCRIPTION

[0030] The endpoints and any values ​​of the ranges disclosed in this article are not limited to the precise ranges or values, and these ranges or values ​​should be understood to include values ​​close to these ranges or values. For numerical ranges, the endpoint values ​​of each range, the endpoint values ​​of each range and the individual point values, and the individual point values ​​can be combined with each other to obtain one or more new numerical ranges, which should be considered as specifically disclosed in this article.

[0031] As mentioned above, the present invention provides a method for determining the dispersibility of a medicament on slime, the method comprising:

[0032] (1) first mixing water and sludge to obtain a mixture I; under static conditions, using a real-time automatic in-situ monitoring device to measure the current intensity I received at point M of the mixture I at time t kt ;

[0033] (2) Mixing the mixture I with the test agent for a second time to obtain a mixture II; under static conditions, using a real-time automatic in-situ monitoring device to measure the current intensity I received by point M of the mixture II at time t jt ;

[0034] (3) The turbidity TU of the mixture I at time t is calculated by formula (I): kt and the turbidity TU of the mixture II jt ;

[0035] TU=-l -1 ×ln(I t / I0) formula (I);

[0036] (4) Calculating the dispersion rate D of the drug to be tested at time t by formula (II);

[0037] D=(TU jt -TU kt ) / TU kt Formula (II);

[0038] The point M is a point 1-3 mm vertically below the upper liquid surface of the mixture I or the mixture II;

[0039] Wherein, in formula (I) and formula (II),

[0040] l represents the distance between the laser emission point and the laser receiving point in the real-time automatic in-situ monitoring device, in cm;

[0041] I t It indicates the current intensity of the laser receiving point at time t in the real-time automatic in-situ monitoring device, in mA;

[0042] I0 represents the current intensity at the laser emission point in the real-time automatic in-situ monitoring device, in mA.

[0043] It should be noted that point M of mixture I and point M of mixture II in the present invention indicate that the two tests in step (1) and step (2) are performed at the same position of the mixture, and the test position is a point that is 1-3 mm vertically below the liquid surface of mixture I or mixture II.

[0044] The inventors of the present invention have found that the dispersion rate result calculated in this preferred case has higher precision. The preferred case is: the current intensity I at time t kt and the current intensity I at time t jt The result is calculated by fitting the current intensity data at all times within the test period with a univariate sextic function.

[0045] In the present invention, the fitting of the aforementioned univariate sextant function can be performed using the fitting function provided in Microsoft Excel software. When a univariate sextant function is used for fitting, accuracy and ease of operation can be achieved. When a function with a higher degree is used for fitting, the accuracy of the result can be further improved within a certain range, but it requires complex calculations and does not have the advantage of easy operation.

[0046] Figure 2 This is a fitting result graph of the current intensity data of the mixture I when the test agent is dodecyl dimethyl benzyl ammonium chloride in Example 1 provided by the present invention. The other fitting result graphs of the current intensity data obtained by fitting a univariate sixth-order polynomial function in the present invention are similar to this. The present invention exemplarily provides a fitting result graph of the current intensity data of the mixture I when the test agent is dodecyl dimethyl benzyl ammonium chloride in Example 1.

[0047] Figure 2 In the plot, the test time (seconds, s) is used as the horizontal axis and the current value (mA) recorded per second is used as the vertical axis. Figure 2 The univariate sextic function (y = -1E-24x 6 +7E-20x 5 -1E-15x 4 +1E-11x 3 -6E-8x 2 +2E-4x+0.3189) is used to calculate the current intensity at any test time for the mixture I in Example 1 when the test agent is dodecyldimethylbenzylammonium chloride.

[0048] Preferably, the amount of the sludge is 1 g to 4 g relative to 1 L of water.

[0049] Preferably, the dosage of the test agent is 10 mg to 100 mg in terms of the active ingredient relative to 1 L of the water.

[0050] According to another preferred embodiment, the method further comprises:

[0051] The real-time automatic in-situ monitoring device comprises a laser emitting unit, a sample reaction unit, a photoelectric conversion unit, a data acquisition unit and a data processing unit.

[0052] Preferably, the laser emitting unit contains a laser emitter with a wavelength of 492-577nm and a power of 12-15mW. The inventors of the present invention have found that when the wavelength is greater than 577nm, the laser has too strong penetration, and the sensitivity to the particles in the mixture I or mixture II is insufficient, and it cannot effectively reflect the change of the light transmittance of the upper solution of the mixture I or mixture II with the sedimentation time; when the wavelength is less than 492nm, the laser cannot penetrate the mixture I or mixture II, and thus cannot effectively measure the light transmittance of the upper solution of the mixture I or mixture II.

[0053] In the present invention, the standing condition is a continuous process. In the early stage after the first mixing or the second mixing, the concentration of suspended matter in the upper solution of mixture I or mixture II is large, resulting in more laser scattering and a low laser pass rate; after standing for a period of time, part of the suspended matter begins to settle, and the laser pass rate of the upper solution gradually increases. The dispersion performance of different agents on the sludge is evaluated by recording the changes in the laser pass rate of the upper solution. After standing for the same period of time, the lower the laser pass rate, the better the dispersion performance of the agent on the sludge.

[0054] Preferably, the photoelectric conversion unit contains a silicon photodiode. The silicon photodiode can convert the laser signal emitted by the laser transmitter and penetrating the mixture I or the mixture II into a current signal. The higher the laser signal, the higher the current signal. The output current signal is collected by the connected data acquisition unit at a frequency of once per second and the turbidity of the mixture I or the mixture II is calculated by the data processing unit, and further converted to obtain the dispersion rate of the agent to the mud.

[0055] It should be noted that the present invention has no particular limitation on the specific type of the sludge, as long as the sludge can have the same or similar properties as those of the sludge in the actual circulating water. A particularly preferred embodiment is exemplified in the following text of the present invention, which should not be construed as a limitation of the present invention by those skilled in the art.

[0056] According to a particularly preferred embodiment, the method further comprises:

[0057] The slime is culture slime, and the culture slime is prepared by a method comprising the following steps:

[0058] A cooling tower device was used to carry out dynamic simulation experiments.

[0059] Preferably, the conditions of the dynamic simulation experiment include: a temperature of 30-35° C., a circulating water flow rate of 60-70 L / h, and adding nutrient solution every 24-36 hours.

[0060] It should be noted that the present invention has no particular limitation on the type of circulating water in the dynamic simulation experiment. For example, the circulating water may contain Ca 2+ 、Na + 、Cl-、SO4 2- 、HCO3 - wait.

[0061] Preferably, the nutrient solution contains glucose, ammonium chloride, magnesium sulfate, potassium chloride, yeast extract, and sodium dihydrogen phosphate.

[0062] More preferably, in the nutrient solution, the content of glucose is 0.45-0.55 g / L, the content of ammonium chloride is 1.5-2.5 g / L, the content of magnesium sulfate is 0.08-0.15 g / L, the content of potassium chloride is 0.2-0.3 g / L, the content of yeast extract is 0.18-0.22 g / L, and the content of sodium dihydrogen phosphate is 0.8-1.0 g / L.

[0063] It should be noted that the present invention has no particular limitation on the structure of the cooling tower device, and it can be any type of cooling tower device that is commercially available or self-assembled.

[0064] Preferably, the first mixing and the second mixing are performed under the same conditions, including: being performed under magnetic stirring conditions, with a stirring speed of 200-300 rpm, a stirring time of 15-60 min, and a temperature of 30-35° C. The same conditions for the first mixing and the second mixing can ensure that the initial turbidity of the sludge in the mixture I and the mixture II is the same to the greatest extent, thereby reducing the adverse effect of the inhomogeneity of the sludge sample in the existing method on the test results.

[0065] In the present invention, the magnetic stirring method has the following advantages over manual mixing and other mixing equipment such as a shaking table:

[0066] The magnetic stirrer occupies a small area, is easy to operate, has a good mixing effect, and the mixing process has experimental repeatability, which is conducive to the construction of in-situ experimental equipment. If the manual mixing method is used, the mixing of each test will not be repeatable; if other equipment such as a shaker is used for mixing, it will be difficult to build an in-situ experimental device because the shaker and other equipment occupy too much space.

[0067] According to a particularly preferred embodiment, the drug to be tested in step (2) is added in situ to the sample reaction unit for a second mixing with the mixture I. In this preferred case, it can be ensured that the absolute positions of the laser emitter in the laser emission unit, the sample reaction unit and the silicon photodiode in the photoelectric conversion unit will not change during the drug test, thereby fundamentally eliminating the adverse effects of the step of "absorbent supernatant to measure absorbance" in the existing method on the accuracy and precision of the test.

[0068] Preferably, the standing conditions include: a temperature of 30-35° C. and a time of 3-5 h.

[0069] The following combination Figure 1 The method of the present invention is further described, but the present invention is not limited thereby.

[0070] Figure 1 Schematic diagram of a preferred real-time automatic in-situ monitoring device provided by the present invention. Figure 1 As shown, water and / or the drug to be tested and the sludge in the sample reaction unit are placed in the container A 2 in the container B 3 filled with water, and the temperature-controlled magnetic heating stirrer 5 is turned on to rotate the magnetic stirrer 4 for mixing; under static conditions, the laser emitted by the laser emitter 1 in the laser emitting unit passes through the point M of the mixture I or the mixture II, and is received and converted into a current signal by the silicon photodiode 6 in the photoelectric conversion unit, and is collected by the data collector 7 in the data acquisition unit to obtain the current intensity, and then the dispersion rate of the drug to be tested is calculated by the computer 8 in the data processing unit.

[0071] The present invention will be described in detail below by way of examples.

[0072] In the following examples, unless otherwise specified, all the raw materials used are commercially available products.

[0073] In the following examples, unless otherwise specified, the wavelength of the laser transmitter used is 532nm, the power is 13.6mW, the current intensity I0 at the laser emission point is 3.4247mA; the distance l between the laser emission point and the laser receiving point is 30cm, and the specification of the magnetic stirrer is 650mm.

[0074] raw material:

[0075] Yeast extract: purchased from Aladdin.

[0076] Isothiazolinone: purchased from Shandong Taihe Science and Technology Co., Ltd.

[0077] Glutaraldehyde: purchased from Maoming Zhonghe Guosong Water Treatment Technology Co., Ltd.

[0078] Dodecyl dimethyl benzyl ammonium chloride: purchased from Shandong Taihe Science and Technology Co., Ltd.

[0079] Tetradecyl dimethyl benzyl ammonium chloride: purchased from Beijing Bailingwei Technology Co., Ltd.

[0080] Preparation of slime

[0081] Preparation of circulating water: The circulating water used in the test is water taken on site, and the specific water quality is: total alkalinity is 150mg / L, calcium hardness is 800mg / L, chloride ion content is 800mg / L, sulfate ion content is 200mg / L;

[0082] Preparation of nutrient solution: using water as solvent, preparing a nutrient solution with a glucose content of 0.5 g / L, an ammonium chloride content of 2.0 g / L, a magnesium sulfate content of 0.1 g / L, a potassium chloride content of 0.25 g / L, a yeast extract content of 0.2 g / L, and a sodium dihydrogen phosphate content of 1.0 g / L;

[0083] The circulating water is added into the water tank of the cooling tower device to carry out a dynamic simulation experiment to obtain cultured slime;

[0084] The conditions of the dynamic simulation experiment were as follows: temperature was 34°C, circulating water flow rate was 65 L / h, and 2 L of the above nutrient solution was added every 24 h.

[0085] Example 1

[0086] (1) 250 mL of water and 0.500 g of sludge were first mixed to obtain a mixture I; under static conditions, Figure 1 The real-time automatic in-situ monitoring device in the apparatus measures the current intensity I received at point M of the mixture I at time t kt ;

[0087] (2) The mixture I is mixed with 2.5 mg of the drug to be tested (in terms of active ingredient) for a second time to obtain a mixture II; and the mixture is allowed to stand for 2 hours. Figure 1 The real-time automatic in-situ monitoring device in the apparatus measures the current intensity I received by point M of the mixture II at time t jt ;

[0088] The current intensity I at time t kt and the current intensity I at time t jtIt is calculated by fitting the current intensity data at all times during the test period with a one-dimensional sextic function to obtain a one-dimensional sextic function;

[0089] (3) The turbidity TU of the mixture I at time t is calculated by formula (I): kt and the turbidity TU of the mixture II jt ;

[0090] TU=-l -1 ×ln(I t / I0) formula (I);

[0091] (4) The dispersion rate D of the test agent to the sludge at time t was calculated by formula (II), and the result was repeated 3 times. The specific results are shown in Table 1;

[0092] D=(TU jt -TU kt ) / TU kt Formula (II);

[0093] Point M is a point 2 mm vertically below the upper liquid surface of mixture I or mixture II;

[0094] The conditions for the first mixing and the second mixing are: carried out under magnetic stirring conditions, with a stirring speed of 250 rpm, a stirring time of 30 min, and a temperature of 32° C.;

[0095] The standing conditions are: temperature is 32°C and time is 4h.

[0096] Example 2

[0097] This embodiment is carried out in a similar manner to that of Embodiment 1, except that:

[0098] Will Figure 1 The laser emitter in the real-time automatic in-situ monitoring device was replaced with a laser emitter with a wavelength of 405 nm and a power of 6.7 mW. The other conditions were the same as those in Example 1 and repeated 3 times. The specific results are shown in Table 1.

[0099] Example 3

[0100] This embodiment is carried out in a similar manner to that of Embodiment 1, except that:

[0101] The current intensity I at time t kt and the current intensity I at time t jt No univariate sextic function was used for fitting. The other conditions were the same as those in Example 1 and were repeated 3 times. The specific results are shown in Table 1.

[0102] Comparative Example 1

[0103] This comparative example was carried out in a similar manner to Example 1, except that:

[0104] Point M in step (1) and step (2) is a point 20 mm vertically below the upper liquid surface of mixture I or mixture II. The remaining conditions are the same as those in implementation 1 and repeated 3 times. The specific results are shown in Table 1.

[0105] Comparative Example 2

[0106] This comparative example uses the method involved in Chen Chao's master's thesis "Research on Microbial Dispersion Technology" published in 2012 to evaluate the dispersibility of the agent on the slime, specifically as follows:

[0107] Take 6 250mL conical flasks, add 0.500g of sludge (accurate to ±0.001g) and 250mL of deionized water into each flask, and shake at 200rpm for 30min on a shaker. Then, do not add the test agent into one of the conical flasks to serve as a blank control, and add one of the test agents isothiazolinone, glutaraldehyde, dodecyl dimethyl benzyl ammonium chloride, and tetradecyl dimethyl benzyl ammonium chloride into the remaining conical flasks (the effective concentration is 10mg / L).

[0108] Continue to shake the mixture at 200 rpm for 30 min and then place it in an incubator at 32°C. After 4 h of standing, use a dropper to take out the supernatant, detect the absorbance of the supernatant at 420 nm, and use formula (III) to calculate the dispersion rate D' of the drug to be tested. Repeat 3 times. The specific results are shown in Table 2.

[0109] D′=(A-A0) / A0×100%Formula (III)

[0110] Table 1

[0111]

[0112]

[0113] Note: The dispersion rates in Table 1 are all calculated at t = 4h; coefficient of variation C·V = standard deviation / mean × 100%. When the data are both positive and negative, the coefficient of variation is not calculated and has no comparative significance.

[0114] Table 1

[0115]

[0116] Table 2

[0117]

[0118]

[0119] It can be seen from the results in Table 1 that the results obtained from the three repeated tests in Example 1 are all: isothiazolinone < glutaraldehyde < tetradecyl dimethyl benzyl ammonium chloride < dodecyl dimethyl benzyl ammonium chloride, which is consistent with the ranking of the dispersibility of the above four test agents on the mud in actual applications, indicating that the method provided by the present invention has high accuracy; at the same time, the coefficient of variation of the three repeated tests in Example 1 is about 5%, indicating that the method provided by the present invention has high precision (i.e., repeatability).

[0120] However, the results obtained from the three repeated tests in Comparative Example 2 were all different, and the coefficient of variation of the three repeated tests in Comparative Example 2 was as high as 61.02%. It can be seen that from the three repeated tests in Comparative Example 2, it is impossible to determine whether glutaraldehyde has a dispersing effect, and it is also impossible to determine whether the dispersing effect of tetradecyl dimethyl benzyl ammonium chloride is better than that of dodecyl dimethyl benzyl ammonium chloride, and it is impossible to make an accurate evaluation of the dispersibility of existing agents on slime.

[0121] In summary, compared with the existing methods for evaluating the dispersibility of a pharmaceutical agent on slime, the method provided by the present invention has higher accuracy and better precision when used to evaluate the dispersibility of a pharmaceutical agent on slime.

[0122] The preferred embodiments of the present invention are described in detail above, but the present invention is not limited thereto. Within the technical concept of the present invention, the technical solution of the present invention can be subjected to a variety of simple modifications, including the combination of various technical features in any other suitable manner, and these simple modifications and combinations should also be regarded as the contents disclosed by the present invention and belong to the protection scope of the present invention.

Claims

1. A method for determining the dispersibility of a drug on slime, characterized in that: The method includes: (1) water and sludge are first mixed to obtain a mixture I; under static conditions, a real-time automatic in-situ monitoring device is used to measure the current intensity I received at point M of the mixture I at time t kt ; (2) Mixing the mixture I with the test agent for a second time to obtain a mixture II; under static conditions, using a real-time automatic in-situ monitoring device to measure the current intensity I received by point M of the mixture II at time t jt ; (3) The turbidity TU of the mixture I at time t is calculated by formula (I): kt and the turbidity TU of the mixture II jt ; TU=-l -1 ×ln(I t / I0) formula (I); (4) Calculating the dispersion rate D of the test agent to the sludge at time t by formula (II); D = (TU jt - TU kt ) / TU kt Formula (II); The point M is a point 1-3 mm vertically below the upper liquid surface of the mixture I or the mixture II; Wherein, in formula (I) and formula (II), l represents the distance between the laser emission point and the laser receiving point in the real-time automatic in-situ monitoring device, in cm; I t It indicates the current intensity of the laser receiving point at time t in the real-time automatic in-situ monitoring device, in mA; I0 represents the current intensity at the laser emission point in the real-time automatic in-situ monitoring device, in mA.

2. The method according to claim 1, wherein: The method further includes: The current intensity I at time t kt and the current intensity I at time t jt It is calculated by using a univariate sextic function to fit the current intensity data at all times during the test period to obtain a univariate sextic equation.

3. The method according to claim 1 or 2, wherein: The method further includes: The real-time automatic in-situ monitoring device comprises a laser emitting unit, a sample reaction unit, a photoelectric conversion unit, a data acquisition unit and a data processing unit.

4. The method according to claim 3, wherein: The laser emitting unit contains a laser emitter with a wavelength of 492-577nm and a power of 12-15mW.

5. The method according to claim 3 or 4, wherein: The photoelectric conversion unit includes a silicon photodiode.

6. The method according to any one of claims 1 to 5, wherein: The method further includes: The slime is culture slime, and the culture slime is prepared by a method comprising the following steps: A cooling tower device was used to carry out dynamic simulation experiments.

7. The method according to claim 6, wherein: The conditions of the dynamic simulation experiment include: temperature of 30-35° C., circulating water flow of 60-70 L / h, and adding nutrient solution every 24-36 hours.

8. The method according to claim 7, wherein: The nutrient solution contains glucose, ammonium chloride, magnesium chloride, potassium chloride, yeast extract and sodium dihydrogen phosphate.

9. The method according to any one of claims 1 to 8, wherein: The conditions of the first mixing and the second mixing are the same, including: being carried out under magnetic stirring conditions, with a stirring speed of 200-300 rpm, a stirring time of 15-60 min, and a temperature of 30-35°C.

10. The method according to any one of claims 1 to 9, wherein: The standing conditions include: a temperature of 30-35° C. and a time of 3-5 hours.

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