Scale inhibitor and dynamic evaluation method thereof

Abstract

The invention belongs to the field of scale inhibitor performance evaluation, and particularly relates to a scale inhibitor dynamic evaluation method which comprises the following specific steps: firstly, taking an actual water sample or a configured water sample as an experimental water sample; putting the heating element into an experimental water sample, operating a water sample circulating system, and continuously supplementing scale anions, cations and a to-be-evaluated scale inhibitor into the system in the operation process; after the operation is finished, analyzing the scale sample to obtain the results of the scale inhibition rate, the dispersion rate of the scale inhibitor and the crystal form of the scale sample; and finally, re-preparing the scale inhibitor according to the results of the scale inhibition rate, the dispersion rate of the scale inhibitor and the crystal form of the scale sample, and repeating the steps 1-3 until the scale inhibition requirement is met. By analyzing the scale inhibition rate, the dispersion rate of the scale inhibitor and the crystal form of a scale sample, comprehensive and efficient evaluation on the performance of the scale inhibitor in the fields of pulping and papermaking is realized, the scale inhibitor is re-prepared according to an evaluation result, and the most suitable scale inhibitor is prepared for different water samples. Meanwhile, the invention further discloses the scale inhibitor prepared according to the result of the evaluation method.

Description

Technical Field

[0001] The present invention belongs to the field of scale inhibitor performance evaluation, and particularly relates to a scale inhibitor and a dynamic evaluation method thereof. Background Art

[0002] The closed water circulation system is an effective measure for the paper industry to reduce wastewater discharge. However, with the increase in the number of water circulation times, the scale-forming ions in the water are continuously enriched. After reaching a certain level, they will deposit on the surface of the system equipment, bringing problems such as increased energy consumption and low wastewater utilization rate. Adding scale inhibitors to the water system to control the formation of scale is the most efficient and economical means to solve the above problems, and is of great significance for energy conservation, emission reduction and environmental protection, which is mainly reflected in the following aspects: (1) reducing the scaling of equipment such as pulp conveying pipelines, washing and screening, reducing the cost of cleaning and maintaining equipment, and increasing production efficiency; (2) improving the heat transfer efficiency of heat exchange equipment and reducing energy loss; (3) improving the water circulation utilization rate, that is, reducing the discharge of wastewater and the consumption of fresh water, thereby saving water resources and protecting the environment. At present, scale inhibition is widely used in industries such as cooling circulating water, electric power, metallurgy, and seawater desalination. Different from the above application scenarios, pulp and paper wastewater contains a large amount of organic matter and suspended solids, and contains a large amount of chemical drugs and impurities. At the same time, the operating conditions of the water circulation system are complex and changeable. Selecting an efficient, fast and systematic scale inhibition and dispersion performance evaluation method and screening suitable and effective scale inhibition and dispersion agents are of great significance for the stable and long-term operation of the water circulation system.

[0003] The existing methods for evaluating the performance of scale inhibitors mainly include static scale inhibition method, bubbling method, critical pH method, limiting carbonate hardness method, conductivity method, hard scale determination method, and instrumental analysis method. The static method, bubbling method, limiting carbonate hardness method, pH displacement method, and conductivity method only evaluate the chelating performance and part of the dispersing performance of scale inhibitors. Therefore, they are applicable to the evaluation of the performance of scale inhibitors in medium- and low-hardness water, and there are relatively large errors in the evaluation of the scale inhibition performance in high-hardness water. The instrumental analysis method and hard scale determination method mainly evaluate the dispersing performance and lattice distortion performance of scale inhibitors, and can be used to evaluate the scale inhibition performance of scale inhibitor molecules in relatively high-hardness water. However, the actual operation is complex and the requirements for instruments are high. At present, there are patents providing methods for quickly evaluating the performance of scale inhibitors. Patent CN1560617A uses the method of cathodic polarization to accelerate the scaling of a working electrode made of metal material in an experimental water sample, and then evaluates the scaling performance of the experimental water sample and the metal material or the performance of water treatment agents by measuring the amount of scale on the working electrode. Although this method is fast and simple, it is not applicable to water samples with relatively complex ion content. Patent CN115950789B provides a scale inhibition performance evaluation method and device based on crystallization kinetics. This method obtains the crystallization kinetics coefficient and hydrodynamic coefficient of the flowing feed liquid under different addition amounts of the scale inhibitor to be evaluated in real time. Based on the obtained crystallization kinetics coefficient and hydrodynamic coefficient, when it is determined that the scaling process of the flowing feed liquid changes from being controlled by mass transfer to being controlled by surface reaction, the concentration of the scale inhibitor to be evaluated in the flowing feed liquid is used as its critical concentration. By comparing the critical concentrations of different scale inhibitors, a quantitative evaluation of the performance of scale inhibitors is achieved. Although this method can quantitatively evaluate the performance and dosage of scale inhibitors simultaneously, it can only be applied to systems with stable operating states and has certain limitations.

[0004] In the pulp water system of the paper industry, the contents of Ca 2+ , Mg 2+ , oxalate ions, organic small molecule acids, fine fibers, oxidizing substances, etc. are different in different pulping stages and change with the change of pulping raw materials. In the paper-making water system, the easily deposited substances such as fillers and sizing hydrolyzates change in different papermaking processes. In the black liquor alkali recovery system, the alkali concentration, concentration multiple, and material viscosity vary greatly in different evaporation stages. The existing scale inhibitor evaluation methods are difficult to be comprehensively applied to the evaluation of the performance of scale inhibitors in the pulp and paper fields in a systematic way.

[0005] Therefore, the technical problem to be solved by the present invention is: how to develop a dynamic evaluation method for scale inhibitors that can be comprehensively applied to the evaluation of the performance of scale inhibitors in the pulp and paper fields, and formulate highly efficient scale inhibitors according to the evaluation results of this method. Summary of the Invention

[0006] The object of the present invention is to provide a method for dynamically evaluating scale inhibitors, which can comprehensively and efficiently evaluate the performance of scale inhibitors in the pulp and paper fields by analyzing the scale inhibition rate, the dispersibility of scale inhibitors, and the crystal morphology of scale samples. According to the evaluation results, the scale inhibitors are re-formulated to prepare the most suitable scale inhibitors for different water samples.

[0007] Meanwhile, the present invention also provides a scale inhibitor prepared based on the results of this evaluation method.

[0008] To achieve the above object of the invention, the following technical solutions are adopted:

[0009] A method for dynamically evaluating scale inhibitors specifically includes the following steps:

[0010] Step 1: Use actual water samples or prepared water samples as experimental water samples;

[0011] Step 2: Place a heating element into the experimental water sample, operate the water sample circulation system, and continuously add scaling anions, cations, and the scale inhibitor to be evaluated to the system during the operation.

[0012] Step 3: After the operation is completed, analyze the scale sample to obtain the results of the scale inhibition rate, the dispersibility of the scale inhibitor, and the crystal morphology of the scale sample;

[0013] Step 4: Re-formulate the scale inhibitor according to the results of the scale inhibition rate, the dispersibility of the scale inhibitor, and the crystal morphology of the scale sample, and repeat Steps 1 to 3 until the scale inhibition requirement is met.

[0014] The method for dynamically evaluating scale inhibitors of the present invention is based on the scale inhibition principles of chelation solubilization, adsorption dispersion, and crystal lattice distortion, simulates the operation of water systems under different working conditions in the actual pulp and paper processes, and can directly obtain data such as the performance, compatibility, stability in actual operation, and optimal addition amount of the scale inhibitor for different water quality conditions and water system operation parameters. The evaluation results are more in line with the actual on-site operation situation; in addition, the chelation solubilization, adsorption dispersion, and crystal lattice distortion scale inhibition mechanisms of the scale inhibitor are respectively characterized by the hardness detected in the water system, the increased weight of the shell scale sample, and the microscopic morphology of the shell scale sample. The microscopic action mode of the scale inhibitor in the water system is characterized by macroscopic data, and the scale inhibitor is screened and formulated according to the relevant detection data, so as to develop a scale inhibitor formula with higher performance.

[0015] Preferably, the re-formulation of the scale inhibitor described in Step 4 is specifically to formulate the components of a single scale inhibitor according to the results of the scale inhibition rate, the dispersibility of the scale inhibitor, and the crystal morphology of the scale sample.

[0016] Preferably, the re-formulation of the scale inhibitor described in Step 4 is specifically to select scale inhibitors with different performance advantages for formulation according to the results of the scale inhibition rate, the dispersibility of the scale inhibitor, and the crystal morphology of the scale sample.

[0017] More preferably, the re-formulated scale inhibitor is specifically formulated by adjusting the proportions of scale inhibitors with different performance advantages according to the results of scale inhibition rate, scale inhibitor dispersion rate, and scale crystal morphology.

[0018] Preferably, the experimental water sample in step 1 can be selected from one of the cooking waste liquor, bleaching wastewater, paper machine white water, cooling circulating water, and alkali recovery black liquor in the pulping and papermaking process, or a water sample configured according to experimental needs.

[0019] Preferably, the addition of scale-forming anions and scale-forming cations in step 2 is to keep the types and concentrations of anions and cations in the experimental water sample consistent with those in the actual water sample or the configured water sample all the time.

[0020] More preferably, the scale-forming anions are selected from one or more combinations of CO 3 2- 、HCO 3 - 、C 2 O 4 2- 、PO 4 3- 、SiO 3 2- 、SO 4 2- ; the scale-forming cations are selected from one or more combinations of Ca 2+ 、Mg 2+ 、Ba 2+ 、Sr 2+ 、Al 3+ ; among them, the scale-forming anions and cations are added separately, and the scale inhibitor to be evaluated is added alone or mixed with the scale-forming anions.

[0021] Preferably, the heating element in step 2 is wrapped around the heating plate by a shell that is easy to disassemble, is perpendicular to the water sample flow direction, and is suspended in the heating box; a temperature probe is arranged in the heating box, and the temperature probe is interlocked with the heating element to form a heating unit to control the temperature in the control system; the water sample circulation system makes the experimental water sample enter from one side of the heating box and flow out from the other side through a circulation pump, and flow baffles are arranged at the water sample inlet end and the outlet end to adjust the flow rate and flow of the circulation pump so that the water sample flows in a laminar flow manner between the heating element contact surfaces.

[0022] Preferably, the running time of the water sample circulation system in step 2 is 24 - 120 h.

[0023] More preferably, the running time of the water sample circulation system is 48 - 96 h.

[0024] Finally, the present invention also discloses a scale inhibitor configured according to the results of the dynamic evaluation method described above.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0026] 1. The present invention directly uses the water samples from the running or simulated pulping and papermaking working conditions as the experimental water samples. Especially, the water samples at the scaling points in the production site are used for simulation experiments. The experimental parameters such as temperature, pH, and flow rate are set to be consistent with the site, and the system operation is dynamically simulated. The experimental results can directly obtain data such as the performance, compatibility, stability in actual operation, and the optimal dosage of the scale inhibitor in the system, which is of great significance for realizing the stable operation of the production system.

[0027] 2. The chelating solubilization, adsorption dispersion, and lattice distortion scale inhibition mechanisms of the scale inhibitor are respectively characterized by the hardness detected in the water system, the increased weight of the shell scale sample, and the microscopic morphology of the shell scale sample. The microscopic action mode of the scale inhibitor in the water system is characterized by macroscopic data, and the scale inhibitor is screened and formulated according to the relevant detection data, so as to develop a higher-performance scale inhibitor formula.

[0028] 3. The dynamic evaluation method provided by the present invention is applicable to water systems such as pulping, papermaking, alkali recovery, and cooling circulation in the paper industry. It has a wide application range, simple operation, short experimental period, and can obtain results quickly and efficiently. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a microscope image of the scale sample of the blank group;

[0030] Figure 2 It is a microscope image of the scale sample under the action of scale inhibitor A;

[0031] Figure 3 It is a microscope image of the scale sample under the action of scale inhibitor B;

[0032] Figure 4 It is the morphological image of the scale sample under the action of scale inhibitor ① in Example 2 under a 500-fold microscope;

[0033] Figure 5 It is the morphological image of the scale sample under the action of scale inhibitor ② in Example 2 under a 500-fold microscope;

[0034] Figure 6 It is the morphological image of the scale sample under the action of scale inhibitor ③ in Example 2 under a 500-fold microscope;

[0035] Figure 7 It is the morphological image of the scale sample of the blank group in Example 2 under a 500-fold microscope. DETAILED DESCRIPTION OF THE INVENTION

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0037] Example 1: Evaluate the scale inhibitor performance of the pulping water system of a paper mill

[0038] Take the pulping water sample of a paper mill. The water sample detection analysis and actual working condition operation parameters are shown in Table 1:

[0039] Table 1 Analysis data of the pulping water sample of a paper mill

[0040]

[0041] The experimental evaluation process is as follows:

[0042] 1. Disassemble the shell of the heating plate. After cleaning and drying the surface of the shell, number it, weigh it with an analytical balance, and record the initial weight.

[0043] 2. Take 3L of the pulping water sample as the experimental water sample and add it to the heating water tank.

[0044] 3. Prepare 514 ml of 15 g / L CaCl 2 solution, 560 ml of 8 g / L NaHCO 3 solution, 150 ml of 5 g / L scale inhibitor solution, (150 ml of deionized water for the blank group). During the system operation, continuously and uniformly add the above solutions to the system. The flow rate of the metering pump for adding CaCl 2 solution is 0.12 ml / min, the flow rate of the metering pump for adding NaHCO 3 solution is 0.13 ml / min, the flow rate of the metering pump for adding the scale inhibitor solution is 0.035 ml / min. Set the heating temperature to 85 °C, the flow rate of the circulation pump to 50 ml / min, and the liquid level controller to control the constant liquid level operation for 72 h.

[0045] 4. After the system operation ends, turn off the heating unit, circulation pump, metering pump, and liquid level controller, and detect the pH, hardness, and conductivity of the experimental water sample.

[0046] 5. Take out the heating unit from the hot water tank, gently rinse the surface of the shell with 50 ml of clean water, dry the surface moisture, then remove the heating shell from the heating plate, dry it, weigh it with an analytical balance, and record the weight after the experiment.

[0047] 6. Gently scrape 20 mg of the scale sample on the shell, observe the crystal morphology of the scale sample under the microscope, and take pictures for recording.

[0048] The experimental data are shown in Table 2;

[0049] Table 2 Weight gain data of the shell sleeve under different experimental conditions

[0050]

[0051]

[0052] Data detection and analysis

[0053] 1. The scale inhibition performance of the scale inhibitor can be expressed by the scale inhibition rate η defined by the following formula:

[0054] Scale inhibition rate η = (W1 - W2) / W1;

[0055] W1 - The weight gain of the shell sleeve of the heating element in the group without scale inhibitor / g;

[0056] W2 - The weight gain of the shell sleeve of the heating element in the group with scale inhibitor / g;

[0057] 2. The dispersion performance of the scale inhibitor can be expressed by the dispersibility δ defined by the following formula:

[0058] Scale inhibitor dispersion rate δ = [(M0 + M1 - M2) * V - W2] / (M0 + M1 - M2) * V - δ0; Blank dispersion rate δ0 = [(M0 + M1 - M2) * V - W1] / (M0 + M1 - M2) * V;

[0059] W1 - The weight gain of the shell sleeve of the heating element in the group without scale inhibitor / g;

[0060] W2 - The weight gain of the shell sleeve of the heating element in the group with scale inhibitor / g;

[0061] M0 - Initial hardness of the water sample mg / L;

[0062] M1 - Supplementary scaling metal cation hardness added to the system, 5000 mg / L;

[0063] M2 - Hardness of the water sample mg / L after the experiment;

[0064] V - Volume of the experimental water sample L;

[0065] 3. At the same time, the chelating solubilization performance of the scale inhibitor is characterized by the conductivity of the water sample after the experiment, and the crystal morphology of the shell sleeve scale sample reflects the lattice distortion effect of the scale inhibitor;

[0066] 4. The hardness detection method refers to GB / T 6909 - 2018.

[0067] The relevant test results are shown in Table 3:

[0068] Table 3 Water sample detection indexes, scale inhibition rate and dispersion rate calculation, and scale sample crystal morphology after the system operation

[0069]

[0070] Result analysis:

[0071] As can be seen from the scale inhibition rate in Table 3, the effect of scale inhibitor A is better than that of scale inhibitor B. Further, the dispersion rate and the conductivity data of the water sample after the system operation are completed show that the dispersion effect and the chelating solubilization effect of scale inhibitor A are better than those of scale inhibitor B. At the same time, comparing the lattice morphology of the scale samples under the microscope under different experimental conditions, Figure 1 Under the condition of no scale inhibitor, the scale sample on the shell surface forms a regular crystal morphology, Figure 2 and Figure 3 Under the condition of adding scale inhibitor, the scale sample shows an irregular morphology. The crystal morphology of the scale sample under the action of scale inhibitor A is more irregular than that under the action of scale inhibitor B. The lattice teratogenic effect of scale inhibitor A is better than that of scale inhibitor B. The experimental results verify from different dimensions that the performance of scale inhibitor A is better than that of scale inhibitor B. Repeating the above experiment, the same data and conclusions are obtained, and the repeatability is good.

[0072] Example 2: Evaluate the scale inhibitor for the alkali recovery system of a paper mill

[0073] For the alkali recovery system of a paper mill, the operation data of the water sample in the black liquor evaporator are shown in Table 4:

[0074] Table 4 Operation data of the water sample in the black liquor evaporator of the alkali recovery system of a paper mill

[0075]

[0076]

[0077] The experimental evaluation process is as follows:

[0078] 1. Disassemble the shell of the heating plate. After cleaning and drying the shell surface, number it, weigh it with an analytical balance, and record the initial weight.

[0079] 2. Take 30 L of the dilute black liquor water sample before entering the evaporator as the experimental water sample, add 1.5 g of the scale inhibitor to be evaluated, mix it evenly, and then take 3 L and add it to the heating water tank.

[0080] 3. Prepare 771 ml of 10 g / L CaCl 2 solution and 450 ml of 10 g / L sodium oxalate solution. Continuously and uniformly add the above solutions to the system during the system operation. The flow rate of the metering pump for adding the CaCl 2 solution is 0.12 ml / min, and the flow rate of the metering pump for adding the sodium oxalate solution is 0.08 ml / min. Set the heating temperature to 95 °C, turn off the circulation pump, and the liquid level controller controls the addition of the experimental water sample to the heating water tank to maintain a constant liquid level operation of the heating water tank.

[0081] 4. When the concentration multiple reaches 3 times, 5 times, and 10 times, take out the heating unit from the hot water tank, gently rinse the surface of the shell sleeve with 50 ml of clear water. After drying the surface moisture, remove the heating shell sleeve from the heating plate, dry it, weigh it with an analytical balance, record the weight increase of the shell sleeve at different concentration multiples, and simultaneously sample and detect the viscosity of the water sample.

[0082] 5. After the concentration multiple reaches 10 times, end the system operation. Gently scrape 20 mg of the scale sample on the shell sleeve, observe the crystal morphology of the scale sample under a microscope, take pictures and record. Compare the weight increase of the shell sleeve and the viscosity of the water sample at different concentration multiples under the action of different scale inhibitors, and evaluate the effect of the scale inhibitor.

[0083] The experimental data refer to Table 5 and Table 6;

[0084] Table 5 Weight increase data of the hot shell sleeve of a group of heating units at different concentration multiples

[0085]

[0086] Table 6 Water sample viscosity data at different concentration multiples

[0087]

[0088] The morphologies of the scale samples under the action of scale inhibitor ①, scale inhibitor ②, scale inhibitor ③, and the blank group under a 500-fold microscope are respectively Figure 4 , Figure 5 , Figure 6 , Figure 7 ;

[0089] Result analysis:

[0090] The weight increase data of the shell sleeve and the water sample viscosity in Table 5 and Table 6 show that scale inhibitor ② has the best effect. By comparing the morphologies of the scale samples under the action of different scale inhibitors, the scale sample under the action of scale inhibitor ② has the smallest particle size and no agglomeration to form a large morphology, which may also be the reason for the better effect of scale inhibitor ②. The evaluation conclusion is also verified in practical applications.

[0091] Example 3: Evaluate the scale inhibitor for the white water of a paper machine in a paper mill

[0092] The index detection and operating conditions of the white water of the paper machine in a paper mill are shown in Table 7:

[0093] Table 7 Operating data of the white water of the paper machine in a paper mill

[0094]

[0095] According to the evaluation method in Example 1, take the white water of the paper machine in a paper mill and evaluate scale inhibitor a, scale inhibitor b, and scale inhibitor c. The evaluation data are shown in Table 8:

[0096] Table 8 Water sample detection indexes, scale inhibition rate and dispersion rate calculation, and scale sample crystal morphology after the system operation ends

[0097]

[0098]

[0099] Result analysis:

[0100] It can be seen from the above data that scale inhibitor a has the best dispersion effect, scale inhibitor b has the best chelating solubilization effect, and scale inhibitor c has the strongest crystal distortion effect on calcium carbonate scale samples.

[0101] Example 4: Using the same water sample as in Example 3, a series of formulations were prepared by mixing scale inhibitor a, scale inhibitor b, and scale inhibitor c with each other to evaluate the effects. According to the evaluation method in Example 1, the experimental data are as follows:

[0102] Table 9 Scale inhibition rate, dispersion rate, and scale sample crystal morphology data for different formulations

[0103]

[0104] Result analysis:

[0105] It can be concluded from the above data that there is a synergistic effect among scale inhibitor a, scale inhibitor b, and scale inhibitor c. When scale inhibitor a and scale inhibitor b are compounded, the scale inhibition rate and dispersion rate of the formulated product are better, but the crystal distortion effect on the scale sample is not obvious. When scale inhibitor a, scale inhibitor b, and scale inhibitor c are compounded, the scale inhibition rate, dispersion rate, and crystal distortion effect on the scale sample of the formulated product are significantly improved, and the performance is better than that of using single-agent products.

[0106] Example 5: Using the same water sample as in Example 3, a series of formulations were obtained by adjusting the proportions of scale inhibitor a, scale inhibitor b, and scale inhibitor c. According to the evaluation method in Example 1, the experimental data are as follows:

[0107] Table 10 Scale inhibition rate, dispersion rate, and scale sample crystal morphology data for different formulations

[0108]

[0109] Result analysis:

[0110] It can be concluded from the above data that according to the formulation of Formulation VII, the scale inhibitors are compounded in the ratio of a:b:c = 1:1.5:0.5, and the formulation effect is the best, and the evaluation conclusion is also verified in practical applications.

[0111] In summary, the method provided by the present invention is based on the scale inhibition principles of chelation solubilization, adsorption dispersion, and lattice distortion. The chelation solubilization, adsorption dispersion, and lattice distortion scale inhibition mechanisms of the scale inhibitor are respectively characterized by the hardness detected in the water system, the increased weight of the shell scale sample, and the microscopic morphology of the shell scale sample. The microscopic action mode of the scale inhibitor in the water system is characterized by macroscopic data, which can be comprehensively applied to the evaluation of the performance of scale inhibitors in the pulp and paper fields. According to the evaluation results of this method, highly efficient scale inhibitors can be formulated.

[0112] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.

Claims

1. A method for dynamic evaluation of scale inhibitors, characterized in that: The specific steps include: Step 1: Use the actual water sample or the configured water sample as the experimental water sample; Step 2: Place the heating element in the experimental water sample, operate the water sample circulation system, and continuously add scale-forming anions, cations and the scale inhibitor to be evaluated into the system during the operation; Step 3: After the operation is completed, the scale sample is analyzed to obtain the results of scale inhibition rate, scale inhibitor dispersion rate, and scale sample crystal morphology; Step 4: Re-formulate the scale inhibitor according to the results of scale inhibition rate, scale inhibitor dispersion rate, and scale sample crystal morphology, and repeat steps 1 to 3 until the scale inhibition requirements are met.

2. The dynamic evaluation method according to claim 1, characterized in that: The re-formulation of the scale inhibitor in step 4 specifically comprises formulating the components of a single scale inhibitor according to the results of the scale inhibition rate, the scale inhibitor dispersion rate, and the scale sample crystal morphology.

3. The dynamic evaluation method according to claim 1, characterized in that: The re-formulation of the scale inhibitor in step 4 specifically comprises selecting scale inhibitors with different performance advantages for preparation according to the results of scale inhibition rate, scale inhibitor dispersion rate, and scale sample crystal morphology.

4. The dynamic evaluation method according to claim 3, characterized in that: The re-formulation of the antiscalant is specifically to adjust the proportion of antiscalants with different performance advantages according to the results of the antiscalant rate, antiscalant dispersion rate and scale sample crystal morphology.

5. The dynamic evaluation method according to claim 1, characterized in that: The experimental water sample described in step 1 can be selected from one of the cooking wastewater, bleaching wastewater, paper machine white water, cooling circulating water, alkali recovery black liquor in pulping and papermaking conditions, or a water sample configured according to experimental needs.

6. The dynamic evaluation method according to claim 1, characterized in that: The addition of scaling anions and scaling cations described in step 2 is to keep the types and concentrations of anions and cations in the experimental water sample consistent with those in the actual water sample or the configured water sample.

7. The dynamic evaluation method according to claim 6, characterized in that: The scale-forming anion is CO3 2- 、HCO3 - 、C2O4 2- PO4 3- 、SiO3 2- 、SO4 2- One or more combinations; the scale-forming cation is selected from Ca 2+ Mg 2+ , Ba 2+ , Sr 2 + 、Al 3+ One or more combinations; wherein the scaling anions and cations are added separately, and the scale inhibitor to be evaluated is added alone or mixed with the scaling anions.

8. The dynamic evaluation method according to claim 1, characterized in that: The heating element described in step 2 adopts a shell that is easy to disassemble and wraps the heating plate, which is perpendicular to the flow direction of the water sample and suspended in the heating box; a temperature probe is arranged in the heating box, and the temperature probe is interlocked with the heating element to form a heating unit to control the temperature in the system; the water sample circulation system allows the experimental water sample to enter from one side of the heating box and flow out from the other side through a circulating pump, and flow baffles are arranged at the inlet and outlet ends of the water sample, and the flow rate and flow of the circulating pump are adjusted to allow the water sample to flow in a horizontal flow manner between the contact surfaces of the heating element.

9. The dynamic evaluation method according to claim 1, characterized in that: The operation time of the water sample circulation system described in step 2 is 24 to 120 hours.

10. A scale inhibitor, configured according to the result of the dynamic evaluation method according to any one of claims 1 to 9.

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