Mixing effect test method for scale inhibitor and dispersant in grey water

Abstract

The present invention relates to the technical field of data processing, and more specifically, to a method for detecting the mixed effect of a scale inhibitor dispersant for grey water, the method comprising: setting experimental groups with different temperatures and control groups for each experimental group, obtaining multiple parameter data of each experimental group and the corresponding control group, determining the degree of change of any parameter data in all experimental groups, calculating the thermal stability of the dispersant, determining the difference in calcium ion concentration and the rate of change of turbidity value in any experimental group and the corresponding control group, taking the percentage of the product of the difference in calcium ion concentration and the rate of change of turbidity value as the scale inhibition rate of any experimental group, and detecting the mixed effect of the dispersant according to the size of the result of multiplying the average value of the scale inhibition rate of all experimental groups by the thermal stability of the dispersant. The present invention can accurately evaluate the effect of scale dispersion treatment, thereby improving the accuracy of the detected mixed effect of the scale inhibitor dispersant for grey water.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology. More specifically, the present invention relates to a method for detecting the mixing effect of a scale inhibitor and dispersant for grey water. Background Art

[0002] The ash water produced during the coal gasification process generally contains more suspended solids and mineral components, which can easily form deposits on the surface of pipes and equipment, which may reduce the heat transfer efficiency of the equipment and increase energy consumption and maintenance costs. The general ash water treatment method is to mix scale inhibitors and dispersants in the ash water to prevent mineral scaling. The performance of the scale inhibitors and dispersants determines the effect of ash water treatment. Therefore, it is necessary to test the performance of the scale inhibitors and dispersants to ensure their reliability and effectiveness in practical applications.

[0003] In the related art, a method for monitoring and treating scale in a heat exchanger is disclosed in a patent application document with publication number CN115374633A. The method includes: obtaining a variety of industrial data of the heat exchanger pipeline, obtaining the degree of scale adhesion in the heat exchanger pipeline by measuring the calcium and magnesium ion content, water flow rate and descaling time in the heat exchanger, and obtaining the heat exchange effect evaluation of the heat exchanger in the current analysis period according to the stability of the thickness sequence of the heat exchanger pipeline and the stability of the water flow rate in the pipeline.

[0004] However, when measuring the degree of scale adhesion, that is, measuring the scale dispersion effect, the above scheme only relies on multiple single parameters for calculation, and does not take into account the fact that descaling is performed at different temperatures, and the corresponding descaling effects may be affected by differences, resulting in a certain deviation in the determined degree of scale adhesion, that is, it is impossible to accurately evaluate the effect of scale dispersion treatment, which may affect the evaluation of the heat exchanger effect. Summary of the invention

[0005] In order to solve the problem that the effect of scale dispersion treatment cannot be accurately evaluated, the present invention proposes a mixed effect detection method for grey water scale inhibitors and dispersants.

[0006] According to one aspect of the present invention, a method for detecting the mixing effect of a scale inhibitor and dispersant for grey water is provided, comprising:

[0007] Experimental groups with different temperatures and control groups for each experimental group are set, wherein a dispersant is added to the experimental group and no dispersant is added to the control group, and multiple parameter data of each experimental group and the corresponding control group are obtained;

[0008] Determine the degree of variation of any parameter data in all experimental groups and calculate the thermal stability of the dispersant , For the The parameter data is in The difference between the experimental group and the corresponding control group, For the The average value of the difference between the values ​​of each parameter data in each experimental group and the corresponding control group, For the The degree of change of parameter data in all experimental groups, is the absolute value symbol, is the number of experimental groups, For the summation symbol, The natural constant The exponential function with base , is the number of parameter data;

[0009] Determine the difference in calcium ion concentration and the rate of change of turbidity value between any experimental group and the corresponding control group, take the percentage of the product of the difference in calcium ion concentration and the rate of change of turbidity value as the scale inhibition rate of any experimental group, multiply the average value of the scale inhibition rate of all experimental groups by the thermal stability of the dispersant, and detect the mixing effect of the dispersant according to the size of the calculation result.

[0010] The present invention can determine the difference of any parameter data at different temperatures, and then calculate the thermal stability of the dispersant by combining the data change rate of each parameter data in each experimental group and the corresponding control group, thereby reducing the influence of the difference caused by the temperature change on each parameter data itself, so that the dispersion effect of the dispersion treatment of suspended matter or scale in the gray water can be accurately evaluated; and the scale inhibition rate of each experimental group is determined by combining the difference in calcium ion concentration and the change rate of turbidity value, so as to further measure the dispersion effect of the dispersion treatment of each experimental group, thereby accurately measuring the mixing effect of the dispersant.

[0011] Preferably, the method for obtaining the degree of change includes:

[0012] Calculate the difference between the value of any parameter data in any experimental group and the average value of any parameter data in all experimental groups to obtain the deviation value of any parameter data in any experimental group;

[0013] Determine the standard deviation of the deviation values ​​of any parameter data in all experimental groups, calculate the degree of change of any parameter data in all experimental groups, and the degree of change is positively correlated with the standard deviation and the range of the deviation values ​​of any parameter data in all experimental groups.

[0014] The present invention integrates a variety of data to calculate the variation degree of each parameter data in all experimental groups, thereby ensuring the accuracy of the determined variation degree.

[0015] Preferably, the degree of change of any parameter data in all experimental groups satisfies the following relationship:

[0016] ;

[0017] In the formula, For the The degree of change of parameter data in all experimental groups; For the The parameter data is in Deviation value in experimental groups; For the The average value of the deviation of parameter data in all experimental groups; For the The range of deviation values ​​of parameter data in all experimental groups; is the number of experimental groups; is the summation symbol.

[0018] The preferred, poorest acquisition methods include:

[0019] Obtain the deviation value of any parameter data in all experimental groups, calculate the difference between the maximum value and the minimum value of the deviation value of any parameter data in all experimental groups, and obtain the range of the deviation value of any parameter data in all experimental groups.

[0020] The range determined by the present invention helps to understand the variation range of the deviation values ​​of each parameter data in all experimental groups.

[0021] Preferably, the method for obtaining the value difference includes:

[0022] Calculate the difference between the value of any parameter data in any experimental group and the value of any parameter data in the control group corresponding to any experimental group, and use the absolute value of the difference as the difference in the value of any parameter data in any experimental group relative to the corresponding control group.

[0023] The present invention compares the differences between the parameter data in the experimental group and the parameter data in the corresponding control group, thereby further ensuring the accuracy of the dispersion effect of the dispersion treatment of the suspended matter or precipitation in each experimental group.

[0024] Preferably, a method for determining the difference in calcium ion concentration between any experimental group and the corresponding control group comprises:

[0025] The difference between the calcium ion concentration data in any experimental group and the calcium ion concentration data in the control group corresponding to any experimental group is calculated to obtain the calcium ion concentration difference between any experimental group and the corresponding control group.

[0026] Preferably, the method for obtaining the turbidity value change rate includes:

[0027] Calculate the difference between the turbidity value in any experimental group and the turbidity value in the control group corresponding to any experimental group to obtain the turbidity value difference;

[0028] The ratio of the turbidity value difference to the turbidity value in the control group corresponding to any experimental group was taken as the turbidity value change rate of any experimental group and the corresponding control group.

[0029] Preferably, the mixing effect of the dispersant is detected according to the size of the calculation result, including:

[0030] Obtain a preset test threshold value. When the product of the calculated average value of the scale inhibition rate of all experimental groups and the thermal stability is greater than the test threshold value, it is determined that the mixing effect of the dispersant is good.

[0031] When the product of the calculated average value of the scale inhibition rate of all experimental groups and the thermal stability is less than or equal to the test threshold, it is determined that the mixing effect of the dispersant is poor.

[0032] The present invention can accurately evaluate the dispersing effect of the dispersion treatment of the suspended matter or the precipitation in each experimental group, thereby accurately evaluating the mixing effect of the dispersant.

[0033] The present invention has the following effects:

[0034] The present invention sets a plurality of experimental groups with different temperatures and corresponding control groups, calculates the variation degree of each parameter data in all experimental groups, and can reduce the influence of the difference of each parameter data itself at different temperatures. Then, the dispersion effect corresponding to each experimental group is evaluated by combining the result of comparing the value of each parameter data in each experimental group with the value in the corresponding control group, and can ensure the accuracy of the determined evaluation result, so that the thermal stability of the dispersant added in each experimental group can be accurately calculated; and the scale inhibition rate of each experimental group is determined by combining the difference in calcium ion concentration and the change rate of turbidity value between each experimental group and the corresponding control group, so that the dispersion effect in each experimental group can be further evaluated, so that the mixing effect of the dispersant added in each experimental group can be accurately detected. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0036] Figure 1 It is a schematic flow chart of the steps of a method for detecting the mixing effect of a scale inhibitor and dispersant for grey water according to an embodiment of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0038] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0039] Reference Figure 1 The method for detecting the mixed effect of the scale inhibitor and dispersant for grey water comprises steps S1 to S5, which are specifically as follows:

[0040] S1: setting experimental groups with different temperatures and control groups for each experimental group, wherein a dispersant is added to the experimental group and no dispersant is added to the control group, and obtaining multiple parameter data of each experimental group and the corresponding control group.

[0041] First, the temperature sensor can be installed at the position where the ash water generated in the coal gasification process flows, so as to record the actual temperature value of the ash water in each process stage; then, the ash water generated in the coal gasification process can be collected, the temperature of the ash water can be maintained at the recorded actual temperature values, and dispersants can be added respectively to obtain multiple experimental groups with different temperatures, and for each experimental group, the ash water without dispersant added at the corresponding temperature is used as the control group of the corresponding experimental group, so as to obtain a control group for each experimental group.

[0042] Furthermore, after setting up multiple experimental groups with different temperatures and corresponding control groups for each experimental group, the mixed solution in each experimental group and the corresponding control group can be left to stand for a certain period of time, such as 2 minutes, and then the pH value, conductivity, etc. of the mixed solution in each experimental group and the corresponding control group can be measured to obtain multiple parameter data for each experimental group and the corresponding control group.

[0043] S2: Determine the degree of variation of any parameter data among all experimental groups.

[0044] It should be noted that during the coal gasification process, the temperature of the ash water changes due to changes in the process and equipment operating conditions, and the temperature change may affect the activity state of the dispersant, thereby affecting the scale inhibition effect of the dispersant; if the scale inhibition effect of the dispersant is inconsistent at different temperatures, it means that the performance of the dispersant is not stable enough to ensure the safety and efficiency of the coal gasification process. Therefore, the performance stability of the dispersant can be evaluated by determining the changes in each parameter data in the experimental groups at different temperatures.

[0045] The degree of change refers to the data that measures the change of any parameter data in any experimental group, which is used to evaluate the performance stability of the dispersant. For example, when the change of each parameter data in each experimental group is small, it means that the performance of the dispersant is less affected by temperature, which can explain to a certain extent that the performance stability of the dispersant added in the experimental group is better; on the contrary, when the change of each parameter data in each experimental group is large, it means that the performance of the dispersant is greatly affected by temperature, which can explain to a certain extent that the performance stability of the dispersant added in the experimental group is poor.

[0046] In an exemplary embodiment of the present invention, the determination of the degree of change of any parameter data at different temperatures can be achieved by the following steps:

[0047] (1) Calculate the difference between the value of any parameter data in any experimental group and the average value of any parameter data in all experimental groups to obtain the deviation value of any parameter data in any experimental group;

[0048] Specifically, the value of any parameter data in the mixed liquid of each experimental group can be detected in turn, so as to calculate the difference between the value of the parameter data in the mixed liquid of each experimental group and the average value of the parameter data in the mixed liquid of all experimental groups, and obtain the deviation value of the parameter data in the experimental group, and then determine the deviation value of each parameter data in each experimental group.

[0049] (2) Determine the standard deviation of the deviation values ​​of any parameter data in all experimental groups, and calculate the degree of change of any parameter data in all experimental groups. The degree of change is positively correlated with the standard deviation and the range of the deviation values ​​of any parameter data in all experimental groups.

[0050] In an exemplary embodiment of the present invention, the determination of the range of deviation values ​​of any parameter data in all experimental groups can be achieved by the following steps:

[0051] Obtain the deviation value of any parameter data in all experimental groups, calculate the difference between the maximum value and the minimum value of the deviation value of any parameter data in all experimental groups, and obtain the range of the deviation value of any parameter data in all experimental groups.

[0052] Among them, the range of deviation values ​​of any parameter data in all experimental groups can reflect the variation range of the parameter data in each experimental group. If the range of deviation values ​​of the parameter data in each experimental group is large, it can be explained to a certain extent that the performance of the dispersant added in each experimental group is greatly affected by temperature, that is, the performance stability of the dispersant is poor. Therefore, the stability of the performance of the dispersant can be evaluated according to the variation range of each parameter data in each experimental group.

[0053] Furthermore, after determining the deviation value of any parameter data in each experimental group and the range of the deviation value of the parameter data in all experimental groups, the degree of change of the parameter data in all experimental groups can be calculated. Specifically, the degree of change of any parameter data in all experimental groups satisfies the following relationship:

[0054] ;

[0055] In the formula, For the The degree of change of parameter data in all experimental groups; For the The parameter data is in Deviation value in experimental groups; For the The average value of the deviation of parameter data in all experimental groups; For the The range of deviation values ​​of parameter data in all experimental groups; is the number of experimental groups; is the summation symbol.

[0056] In another embodiment, the variation degree of any parameter data in all experimental groups may also be determined by other calculation formulas, such as by a summation formula instead of a product calculation formula.

[0057] S3: Calculate the thermal stability of the dispersant.

[0058] It should be noted that evaluating the performance stability of the dispersant added in each experimental group only by the degree of change of each parameter data in all experimental groups may not be able to rule out the influence of temperature itself on each parameter data. Therefore, combining each parameter data and the data change rate of the experimental group at different temperatures relative to the corresponding control group can determine the influence of temperature on each parameter data, which can further evaluate the performance stability of the dispersant.

[0059] Among them, thermal stability refers to data used to measure the effect of temperature on the performance of the dispersant added to the experimental group. For example, when the performance of the dispersant added to the experimental group is greatly affected by temperature, it means that the thermal stability of the dispersant is poor. On the contrary, if the performance of the dispersant is less affected by temperature, it means that the thermal stability of the dispersant is good.

[0060] Specifically, the thermal stability of the dispersant added in each experimental group satisfies the following relationship:

[0061] ;

[0062] In the formula, is the thermal stability of the dispersant added in each experimental group; For the The parameter data is in The difference in values ​​between the experimental groups and the corresponding control groups; For the The average value of the difference between the values ​​of each parameter data in each experimental group and the corresponding control group; For the The degree of change of parameter data in all experimental groups; is the absolute value symbol; is the number of experimental groups; for the summation symbol; The natural constant An exponential function with base ; is the number of parameter data.

[0063] in, Reflects the The overall difference between the difference in the values ​​of a parameter data in each experimental group relative to the corresponding control group and the average value of the difference in the values ​​of the parameter data in all experimental groups relative to the corresponding control group. The smaller the value, the less the change of the parameter data is affected by the temperature itself.

[0064] Reflects the The similarity of parameter data in experimental groups at different temperatures is The smaller the value, the less the change of the parameter data is affected by the temperature itself. is also small, the parameter data in each experimental group changes more consistently, indicating that the performance of the dispersant added in each experimental group is less affected by temperature, and the corresponding thermal stability of the dispersant is better.

[0065] In an exemplary embodiment of the present invention, the following steps can be used to determine the difference in the value of any parameter data in any experimental group relative to the corresponding control group:

[0066] Calculate the difference between the value of any parameter data in any experimental group and the value of any parameter data in the control group corresponding to any experimental group, and use the absolute value of the difference as the difference in the value of any parameter data in any experimental group relative to the corresponding control group.

[0067] Specifically, the difference in the value of any parameter data in any experimental group and the corresponding control group satisfies the following relationship:

[0068] ;

[0069] In the formula, For the The parameter data is in The difference in values ​​between the experimental groups and the corresponding control groups; For the The parameter data is in The values ​​in the experimental groups; For the The parameter data is in The value of the control group corresponding to each experimental group; is the absolute value symbol.

[0070] S4: Determine the difference in calcium ion concentration and the change rate of turbidity value between any experimental group and the corresponding control group, and take the percentage of the product of the difference in calcium ion concentration and the change rate of turbidity value as the scale inhibition rate of any experimental group.

[0071] It should be noted that during the coal gasification process, the coal contains a certain proportion of minerals, and the minerals will not be converted into gas during the coal gasification process. During the process treatment, they will precipitate to form solid sediments, thereby leading to the formation of scale. The ash water scale inhibitor dispersant can disperse the scale, causing the calcium ion concentration data and turbidity value in the added mixed liquid to change. Therefore, this embodiment can evaluate the scale inhibition effect of the dispersant added to the experimental group by comparing the changes in the calcium ion concentration data and the changes in the turbidity value in the experimental group and the corresponding control group.

[0072] Optionally, a water quality tester can be used to measure the calcium ion concentration data and turbidity value data in the mixed liquid of each experimental group and the corresponding control group of each experimental group, so as to evaluate the scale inhibition effect of the dispersant added in each experimental group based on the difference in calcium ion concentration and the turbidity value change rate between each experimental group and the corresponding control group.

[0073] In an exemplary embodiment of the present invention, the difference in calcium ion concentration between any experimental group and the corresponding control group can be determined by the following steps:

[0074] The difference between the calcium ion concentration data in any experimental group and the calcium ion concentration data in the control group corresponding to any experimental group is calculated to obtain the calcium ion concentration difference between any experimental group and the corresponding control group.

[0075] Optionally, the greater the difference in calcium ion concentration between any experimental group and the corresponding control group, it means that the suspended particles, scale blocks or precipitates in the experimental group are decomposed into fine particles by the dispersant, which increases the calcium ion concentration in the mixed liquid of the experimental group. Therefore, by calculating the difference in calcium ion concentration between any experimental group and the corresponding control group, the scale inhibition effect of the dispersant added to the experimental group can be evaluated to a certain extent.

[0076] In an exemplary embodiment of the present invention, the determination of the change rate of turbidity values ​​in any experimental group and the corresponding control group can be achieved by the following steps:

[0077] The difference between the turbidity value in any experimental group and the turbidity value in the control group corresponding to any experimental group is calculated to obtain the turbidity value difference; the ratio of the turbidity value difference to the turbidity value in the control group corresponding to any experimental group is taken as the turbidity value change rate of any experimental group and the corresponding control group.

[0078] Optionally, by calculating the rate of change of turbidity values ​​between any experimental group and the corresponding control group, the turbidity value in the mixed liquor of the experimental group can be determined relative to the turbidity value in the mixed liquor of the control group corresponding to the experimental group. The larger the value, the higher the clarity of the mixed liquor of the experimental group compared with the clarity of the control group of the experimental group. Therefore, it can be explained that the dispersant added to the experimental group can effectively prevent the formation of a sediment layer in the mixed liquor of the experimental group. Therefore, by analyzing the rate of change of turbidity values ​​between any experimental group and the corresponding control group, the scale inhibition effect of the dispersant added to the experimental group can be evaluated to a certain extent.

[0079] Furthermore, after determining the difference in calcium ion concentration between any experimental group and the corresponding control group, as well as the rate of change of turbidity value, the scale inhibition rate of the experimental group can be calculated. Specifically, the scale inhibition rate of any experimental group satisfies the following relationship:

[0080] ;

[0081] In the formula, For the Scale inhibition rate of each experimental group; For the The difference in calcium ion concentration between the experimental groups and the corresponding control groups; For the The change rate of turbidity value between the experimental group and the corresponding control group.

[0082] S5: Multiply the average value of the scale inhibition rate of all experimental groups by the thermal stability of the dispersant to detect the mixing effect of the dispersant based on the size of the calculation result.

[0083] It should be noted that if the dispersant added to the experimental group has good thermal stability, it means that the performance of the dispersant is less affected by temperature, that is, the molecular structure of the dispersant can remain stable and is not easily changed significantly due to temperature changes, so that it can effectively interact with the mineral components in the gray water and prevent the formation of sediment.

[0084] In an exemplary embodiment of the present invention, the detection of the dispersant mixing effect can be achieved by the following steps:

[0085] Obtain the preset test threshold. When the calculated average value of the scale inhibition rate of all experimental groups multiplied by the thermal stability is greater than the test threshold, it is determined that the mixing effect of the dispersant is good; when the calculated average value of the scale inhibition rate of all experimental groups multiplied by the thermal stability is less than or equal to the test threshold, it is determined that the mixing effect of the dispersant is poor.

[0086] Optionally, the test threshold can be set to 0.6 based on empirical values. When the average value of the scale inhibition rate of all experimental groups multiplied by the thermal stability of the dispersant added to each experimental group is greater than 0.6, it means that the mixing effect of the dispersant is good; if the product is less than or equal to 0.6, it means that the mixing effect of the dispersant is poor and cannot effectively prevent the formation of sediment in the gray water, thereby realizing the detection of the mixing effect of the dispersant.

[0087] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly defined.

[0088] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

Claims

1. A method for detecting the mixing effect of a scale inhibitor and dispersant for grey water, characterized in that: include: Setting experimental groups with different temperatures and control groups for each experimental group, wherein a dispersant is added to the experimental group and no dispersant is added to the control group, and obtaining multiple parameter data of each experimental group and the corresponding control group; Determine the degree of variation of any parameter data in all experimental groups and calculate the thermal stability of the dispersant , For the The parameter data is in The difference between the experimental group and the corresponding control group, For the The average value of the difference between the values ​​of each parameter data in each experimental group and the corresponding control group, For the The degree of change of parameter data in all experimental groups, is the absolute value symbol, is the number of experimental groups, For the summation symbol, The natural constant The exponential function with base , is the number of parameter data; Method for obtaining value difference: Calculate the difference between the value of any parameter data in any experimental group and the value of any parameter data in the control group corresponding to the experimental group, and use the absolute value of the difference as the value difference of any parameter data in any experimental group relative to the corresponding control group; Determine the difference in calcium ion concentration and the rate of change of turbidity value between any experimental group and the corresponding control group, take the percentage of the product of the difference in calcium ion concentration and the rate of change of turbidity value as the scale inhibition rate of any experimental group, multiply the average value of the scale inhibition rate of all experimental groups by the thermal stability of the dispersant, and detect the mixing effect of the dispersant according to the size of the calculation result; Among them, the degree of change , For the The parameter data is in Deviation value in experimental groups; For the The average value of the deviation of parameter data in all experimental groups; For the The range of deviation values ​​of parameter data in all experimental groups.

2. The method for detecting the mixing effect of the scale inhibitor and dispersant for grey water according to claim 1, characterized in that: The method for obtaining the extreme difference comprises: Obtain the deviation value of any parameter data in all experimental groups, calculate the difference between the maximum value and the minimum value of the deviation value of any parameter data in all experimental groups, and obtain the range of the deviation value of any parameter data in all experimental groups.

3. The method for detecting the mixing effect of the scale inhibitor and dispersant for grey water according to claim 1, characterized in that: The method for obtaining the difference in calcium ion concentration between any experimental group and the corresponding control group includes: The difference between the calcium ion concentration data in any experimental group and the calcium ion concentration data in the control group corresponding to the experimental group is calculated to obtain the calcium ion concentration difference between the experimental group and the corresponding control group.

4. The method for detecting the mixing effect of the scale inhibitor and dispersant for grey water according to claim 1, characterized in that: The method for obtaining the turbidity value change rate comprises: Calculating the difference between the turbidity value in any experimental group and the turbidity value in the control group corresponding to the any experimental group to obtain the turbidity value difference; The ratio of the turbidity value difference to the turbidity value in the control group corresponding to any experimental group is taken as the turbidity value change rate of any experimental group and the corresponding control group.

5. The method for detecting the mixing effect of the scale inhibitor and dispersant for grey water according to claim 1, characterized in that: The step of detecting the mixing effect of the dispersant according to the size of the calculation result includes: Obtaining a preset test threshold, when the product of the calculated average value of the scale inhibition rate of all experimental groups and the thermal stability is greater than the test threshold, it is determined that the mixing effect of the dispersant is good; When the product of the calculated average value of the scale inhibition rate of all experimental groups and the thermal stability is less than or equal to the inspection threshold, it is determined that the mixing effect of the dispersant is poor.

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