An electromagnetic scale control system for circulating water purification

Abstract

The application belongs to the technical field of electromagnetic scale inhibition control, and specifically discloses a circulating water purification electromagnetic scale inhibition control system, which comprises a pulse analysis module, a pulse determination module, a scale detection module, a scale inhibition analysis module and a descaling analysis module. The application realizes the accurate coupling of scale inhibition parameters and ion concentration through the detection of water quality parameters to drive the electromagnetic field frequency regulation mechanism. The total conductivity of circulating water is calculated through the coupling analysis of the calcium ion conductivity and the auxiliary ion conductivity. The electromagnetic field frequency is dynamically matched with the conductivity to solve the defect that the current fixed frequency band cannot adapt to the ion concentration difference, improve the scale inhibition efficiency, calculate the pulse electric field parameters by combining the preset influence weight with the initial content of microorganisms in the water and the initial content of various microorganisms, and perform pulse compensation on the microorganisms that do not meet the standard through the pulse compensation mechanism to improve the efficiency of subsequent scale inhibition and descaling.

Description

Technical Field

[0001] This invention belongs to the field of electromagnetic scale inhibition control technology, and relates to an electromagnetic scale inhibition control system for circulating water purification. Background Technology

[0002] Circulating water systems, as a key component of cooling and heating processes, are widely used in industries such as power, chemical, and construction. However, during long-term operation, scaling problems frequently occur due to the crystallization and precipitation characteristics of calcium and magnesium ions in the water. This has become a core pain point restricting the efficient and stable operation of the system. Scale can significantly reduce heat exchange efficiency, forcing a substantial increase in system energy consumption. In severe cases, it can also cause pipe blockage and equipment damage. Therefore, electromagnetic scale inhibition control is necessary.

[0003] For example, Chinese invention patent CN103570142A discloses a method for electromagnetic scale inhibition in cooling towers. This electronic high-frequency scale inhibition device involves winding an insulated coil around the outer or inner wall of a container or pipe through which fluid flows, and connecting the coil to a frequency converter. Through the action of the frequency converter, the insulated coil obtains an alternating current with a predetermined voltage and a predetermined current, generating an alternating oscillating magnetic field. The magnetic field acts on the fluid in the container or pipe, producing a scale inhibition effect.

[0004] The existing technologies mentioned above have the following shortcomings: 1. Currently, the scale crystals are loosened by alternating oscillating magnetic fields, but microbial detection and pulse treatment are not involved. This makes it impossible to inhibit the growth of bacteria in circulating water, which can easily lead to the mixing and deposition of biological slime and scale, thereby increasing the scale adhesion rate.

[0005] 2. Currently, only fixed-frequency electromagnetic waves are used for electromagnetic scale inhibition, without considering the influence of water quality parameters on electromagnetic scale inhibition. This makes it impossible to adapt to differences in ion concentration, and thus unable to cope with the multi-dimensional scaling causes of complex water quality, resulting in unstable scale inhibition effect. At the same time, scale inhibition is achieved only through the action of magnetic field, without targeted scale removal analysis of the already formed scale, and the synergistic effect of scale inhibition and removal cannot be achieved. Summary of the Invention

[0006] In view of this, in order to solve the problems mentioned in the background technology, an electromagnetic scale inhibition control system for circulating water purification is proposed.

[0007] The objective of this invention can be achieved through the following technical solution: This invention provides an electromagnetic scale inhibition control system for circulating water purification, comprising: a pulse analysis module, which detects the initial content of microorganisms in the filtered influent and the initial content of various microorganisms, and performs pulse treatment on the filtered influent through the pulse electric field parameters of the pulse analysis.

[0008] The pulse determination module detects the microbial parameters of the influent after pulse treatment and compares them with the initial microbial content to determine whether the pulse is qualified. If the pulse is unqualified, the pulse compensation mechanism is triggered.

[0009] If the pulse is qualified, the scale detection module will introduce water into the circulating water tank and detect the concentration of each ion in the circulating water and the descaling parameters in the circulating water tank.

[0010] The scale inhibition analysis module calculates the electromagnetic field frequency based on the concentration of various ions in the circulating water in the circulating water tank using Kohlrausch's law, and detects the calcium ion concentration in the circulating water after scale inhibition control based on the electromagnetic field frequency. Based on this, it determines whether the scale inhibition is qualified. If the scale inhibition is unqualified, it returns to the scale detection module.

[0011] The descaling analysis module analyzes the descaling parameters in the circulating water tank, obtains the ultrasonic frequency, and detects the thickness of scale in the circulating water tank after descaling control based on the ultrasonic frequency. Based on this, it determines whether the descaling is qualified. If the descaling is unqualified, it returns to the scale detection module.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention achieves precise coupling between scale inhibition parameters and ion concentration by detecting the electromagnetic field frequency control mechanism driven by water quality parameters. At the same time, the total conductivity of circulating water is calculated by coupling analysis of calcium ion conductivity and auxiliary ion conductivity, and the electromagnetic field frequency and conductivity are dynamically matched, which solves the defect that the current fixed frequency band cannot adapt to the difference in ion concentration and improves the scale inhibition efficiency.

[0013] (2) The present invention calculates the pulse electric field parameters by combining the initial content of microorganisms in the influent and the initial content of various microorganisms with preset influence weights, and performs pulse compensation for microorganisms that do not meet the standards through a pulse compensation mechanism, thereby improving the efficiency of subsequent scale inhibition and scale removal.

[0014] (3) This invention determines the type of scale by matching the color of the scale layer, and calculates the ultrasonic frequency by combining the physical influence coefficient of scale after normalization of thickness and hardness and the working condition influence coefficient of water temperature and flow rate ratio analysis. This avoids the shortcomings of insufficient analysis dimensions of current descaling parameters, improves the pertinence of electromagnetic descaling, and improves the adaptability under complex working conditions.

[0015] (4) This invention achieves effective removal of scale by combining scale inhibition analysis and scale removal analysis. Scale inhibition analysis interferes with the growth of scale crystals at the source, while scale removal analysis dynamically adjusts the ultrasonic frequency to effectively remove the scale that has already formed, thereby reducing the energy consumption of the system. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram showing the connections of the various modules in the system of the present invention.

[0018] Figure 2 This is a schematic diagram showing the connection steps for calculating the electromagnetic field frequency in this invention.

[0019] Figure 3 This is a schematic diagram showing the connection of the descaling analysis steps of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Please see Figure 1 As shown, the present invention provides an electromagnetic scale inhibition control system for circulating water purification, which includes: a pulse analysis module, a pulse determination module, a scale detection module, a scale inhibition analysis module, and a scale removal analysis module.

[0022] In the above, the pulse determination module is connected to the pulse analysis module and the scale detection module, respectively, and the scale detection module is connected to the scale inhibition analysis module and the scale removal analysis module, respectively.

[0023] The pulse analysis module detects the initial content of microorganisms in the filtered influent and the initial content of various types of microorganisms, and performs pulse treatment on the filtered influent using the pulse electric field parameters obtained from the pulse analysis.

[0024] It should be added that the initial content of microorganisms and the initial content of various types of microorganisms are all obtained by detection using an electrode-type microbial sensor, and the types of microorganisms include, but are not limited to, bacteria, fungi and algae.

[0025] For example, the pulse analysis includes: matching the initial microbial content of the filtered influent with the microbial content range corresponding to each pulse frequency to obtain the basic pulse frequency of the influent purifier.

[0026] It should be added that the microbial content range corresponding to each pulse frequency refers to the treatment with a specific pulse frequency when the influent microbial content is in a certain range, so as to achieve the goal of removing microorganisms with optimal energy consumption and efficiency. The microbial content range corresponding to each pulse frequency is formed by first conducting gradient concentration-frequency tests in the laboratory to find the optimal concentration range for treatment at different frequencies, and then verifying and correcting it through engineering.

[0027] The ratio of the initial content of each type of microorganism to the initial content of microorganisms in the influent is taken as the initial content percentage of each type of microorganism.

[0028] The initial content ratio of various microorganisms is coupled with their preset influence weights to obtain the correction coefficient of the pulse frequency. The product of the correction coefficient and the basic pulse frequency is then used as the pulse frequency.

[0029] It should be added that, when determining the pulse frequency, the pulse frequency correction coefficient is accurately adapted through weighted summation quantification analysis: the initial content ratio of various microorganisms is denoted as p. i Let i be the species number of the microorganism, i = 1, 2, ..., n, and Its preset influence weight is denoted as w. i The influence of the i-th type of microorganism content on circulating water can be determined through industry experience or data modeling. For example, first, the historical frequency of microbial species can be statistically analyzed, and then combined with their correlation coefficients to system corrosion, clogging, and other hazards. Regression analysis or logistic regression can then be used to determine the contribution and normalize it to ensure... The specific analysis formula is as follows: In the formula, δ is the correction coefficient.

[0030] The correction coefficient is quantified using a weighted summation method. On the one hand, the weight allocation reflects the differences in the actual threat posed by different microorganisms to the safe operation of the circulating water system. On the other hand, it directly integrates the comprehensive impact of the initial proportion of various microorganisms on the pulse frequency adaptability at multiple levels, avoiding the dominance of a single microbial characteristic in the judgment. This makes the pulse frequency correction more closely match the actual needs of the system, ensuring a balance between microbial removal efficiency and energy consumption optimization.

[0031] Similarly, the pulse width and electric field strength are obtained by analyzing the pulse frequency in the same way, and the pulse frequency, pulse width, and electric field strength are used as pulse electric field parameters.

[0032] It's important to note that the pulse frequency determines the frequency response of microbial electroporation, and different pulse electric fields affect the dielectric properties of microbial cell membranes. High-frequency pulses cause cell membrane oscillations through rapidly alternating electric fields, reducing their stability. Low-frequency pulses, on the other hand, interfere with microbial ion transport and metabolic pathways through continuous electrical stimulation. Pulse width determines the energy injection amount per pulse; a wider pulse width accumulates more energy, directly leading to cell membrane perforation and rupture. A narrower pulse width induces reversible electroporation, suitable for mild sterilization scenarios. Electric field strength affects the depth and efficiency of electroporation; high electric field strength can directly break down the cell membrane, leading to microbial death. Low electric field strength inhibits reproduction by interfering with enzyme activity or metabolic pathways. By analyzing the initial content and species ratio of microorganisms, and simultaneously optimizing frequency, width, and intensity, targeted microbial removal is achieved. Furthermore, the synergistic analysis of these three factors not only enables targeted killing of different microbial types but also improves treatment efficiency through dynamic matching of energy parameters.

[0033] The pulse determination module detects the microbial parameters of the influent after pulse processing, compares them with the initial microbial content to determine whether the pulse is qualified. If the pulse is unqualified, the pulse compensation mechanism is triggered.

[0034] For example, determining whether the pulse is qualified includes: extracting the microbial content of the influent from the microbial parameters, subtracting the initial microbial content from it to obtain the microbial removal content, and using the ratio of the removal content to the initial content as the overall microbial removal rate.

[0035] The overall removal rate of microorganisms is compared with its preset threshold. If the overall removal rate of microorganisms is greater than the preset threshold, the pulse is deemed qualified; otherwise, the pulse is deemed unqualified.

[0036] For example, the trigger pulse compensation mechanism includes: extracting the content of various microorganisms from the microbial parameters, and then similarly analyzing the removal rate of various microorganisms according to the analysis method of the overall removal rate.

[0037] The removal rate of each type of microorganism is compared with its preset value. Microorganisms with a removal rate lower than the preset value are screened and identified as substandard microorganisms.

[0038] The correction ratios for each pulse electric field parameter corresponding to each type of non-compliant microorganism are extracted from the preset correction ratios for various microbial parameters.

[0039] It should be added that the correction ratios for each pulse electric field parameter corresponding to various non-compliant microorganisms are independently configured pulse frequency correction ratios, pulse width correction ratios, and electric field intensity correction ratios for each type of non-compliant microorganism. These are used to compensate for the pulse parameters according to preset ratios when the microorganism removal rate does not reach the preset value. Essentially, these pulse electric field parameter correction ratios are formed based on the mapping relationship between microorganism inactivation effects and parameter adjustments in historical data.

[0040] The pulse frequency, pulse width, and electric field intensity in the pulse electric field parameters are coupled with the correction ratio of each pulse electric field parameter corresponding to each type of non-compliant microorganism to obtain the compensation values ​​of each type of non-compliant microorganism in the dimensions of frequency, width, and intensity. Then, the maximum value is selected from the compensation values ​​of each dimension and combined to form the pulse electric field compensation parameters, and pulse compensation is performed accordingly.

[0041] It should be added that the calculation formula for the coupled calculation of pulse frequency compensation values ​​for various non-compliant microorganisms is as follows: j is the number of the non-compliant microorganism, j = 1, 2, ..., m, where... This is the pulse frequency compensation value for the j-th non-compliant microorganism. Let k be the pulse frequency of the j-th non-compliant microorganism. j The pulse frequency correction ratio is given for the j-th non-compliant microorganism. Similarly, the pulse width compensation value and electric field strength compensation value for various non-compliant microorganisms are obtained by analyzing the above method.

[0042] The content of various non-compliant microorganisms is detected after pulse compensation, and the removal rate of various non-compliant microorganisms is calculated. If there are still non-compliant microorganisms with a removal rate less than the preset value, pulse compensation is performed again until the removal rate of various non-compliant microorganisms is greater than the preset value.

[0043] This invention calculates pulse electric field parameters by combining the initial content of microorganisms in the influent and the initial content of various microorganisms with preset influence weights, and improves the efficiency of subsequent scale inhibition and removal by using a pulse compensation mechanism to compensate for microorganisms that do not meet the standards.

[0044] If the pulse is qualified, the scale detection module will introduce water into the circulating water tank and detect the concentration of each ion in the circulating water and the descaling parameters in the circulating water tank.

[0045] The scale inhibition analysis module calculates the electromagnetic field frequency based on the concentration of each ion in the circulating water in the circulating water tank using Kohlrausch's law, and detects the calcium ion concentration in the circulating water after scale inhibition control based on the electromagnetic field frequency. Based on this, it makes a scale inhibition qualification judgment. If the scale inhibition is not qualified, it returns to the scale detection module.

[0046] Please see Figure 2As shown, exemplarily, the calculation of the electromagnetic field frequency includes: W1, and the calculation of the total conductivity of the circulating water based on the concentration of each ion in the circulating water using Kohlrausch's law.

[0047] It should be added that the core of Kohlrausch's law is: in an infinitely diluted solution, the contribution of each ion to the conductivity of the solution is independent of that of other ions, and the total conductivity of the solution is equal to the algebraic sum of the conductivity of each ion.

[0048] Furthermore, the calculation of the total conductivity of the circulating water includes: W1-1, obtaining the concentration of calcium ions from the various ion concentrations of the circulating water, and then calculating the conductivity of calcium ions using Kohllausch's law.

[0049] It should be added that the calculation of calcium ions (Ca) according to Kohlrausch's law... 2+ The formula for calculating conductivity is κ = λ × c, where κ is the contribution of calcium ions to the conductivity of the solution in units of S / m, and λ is the infinite dilution molar conductivity of calcium ions, with a standard value of 0.0119 S·m. 2 / mol, where c is the concentration of calcium ions in units of mol / m 3 .

[0050] W1-2. Obtain the concentration of each auxiliary ion from the concentration of each ion in the circulating water, and then calculate the conductivity of each auxiliary ion in the same way as the calcium ion concentration. Sum them up to obtain the conductivity of the auxiliary ions in the circulating water.

[0051] It should be added that the auxiliary ions include, but are not limited to: magnesium ions (Mg). 2+ Sodium ions (Na) + Potassium ions K + Bicarbonate ions (HCO3-) - Sulfate ions SO4 - Chloride ions Cl - .

[0052] W1-3. The total conductivity of circulating water is obtained by coupling analysis of calcium ion conductivity and auxiliary ion conductivity.

[0053] It should be added that the analytical formula for the total conductivity of circulating water is κ′=α×κ+(1-α)×κ″, where κ′ is the total conductivity, κ″ is the conductivity of auxiliary ions, and α is the contribution rate of calcium ions.

[0054] α is a dimensionless coefficient between 0 and 1, such as α = 0.6. The calcium ion contribution rate physically represents the proportion of calcium ion conductivity in the total conductivity of circulating water. This parameter is used to couple calcium ion conductivity with auxiliary ion conductivity to calculate the total conductivity of circulating water. The calcium ion contribution rate is obtained by statistically analyzing the proportion of calcium ion conductivity to total conductivity in each circulating water purification process in historical data and averaging these proportions.

[0055] W2. Match the total conductivity with the conductivity range corresponding to each reference frequency to obtain the reference frequency of the circulating water.

[0056] It should be added that the conductivity intervals corresponding to each reference frequency are essentially the division of continuous conductivity values ​​into several intervals, with each interval matched with a reference frequency that optimizes scale inhibition efficiency. The conductivity intervals corresponding to each reference frequency are obtained based on the correlation analysis of conductivity and scale inhibition efficiency in historical operating data. The total conductivity value and electromagnetic field frequency of each circulating water purification process are extracted from historical data, along with the corresponding measured scale inhibition efficiency values. Extreme value analysis is used to locate the strongly correlated intervals between conductivity and scale inhibition efficiency. The inflection point of scale inhibition efficiency is used as the interval boundary to define each conductivity interval. Then, the electromagnetic field frequency with the highest scale inhibition efficiency corresponding to each conductivity interval is selected from historical data as the reference frequency, thus obtaining the conductivity intervals corresponding to each reference frequency.

[0057] W3. Based on the total conductivity and the reference frequency, a coupling analysis is performed to obtain the electromagnetic field frequency.

[0058] It should be added that the formula for calculating the frequency of the electromagnetic field is as follows: In the formula, f is the electromagnetic field frequency, f0 is the reference frequency, and κ″′ is the reference conductivity, which is obtained by extracting the average conductivity of the range with the best scale inhibition effect in each circulating water purification process from historical data.

[0059] It should be added that, through The deviation of the current conductivity from the optimal range is quantified. The greater the deviation, the more significant the need for frequency adjustment. The natural logarithm is used to make the frequency adjustment faster and slower as conductivity increases, which conforms to the nonlinear law of ion interaction. Precise adjustment is required in the low conductivity range, while over-correction should be avoided in the high conductivity range.

[0060] This invention achieves precise coupling between scale inhibition parameters and ion concentration through an electromagnetic field frequency control mechanism driven by water quality parameters. Simultaneously, it calculates the total conductivity of circulating water by coupling analysis of calcium ion conductivity and auxiliary ion conductivity, dynamically matching the electromagnetic field frequency with conductivity. This solves the problem that the current fixed frequency band cannot adapt to differences in ion concentration, thus improving scale inhibition efficiency.

[0061] For example, the scale inhibition qualification determination includes: calculating the calcium ion conductivity after scale inhibition based on the calcium ion concentration in the circulating water after scale inhibition control by electromagnetic field frequency.

[0062] The calcium ion conductivity after scale inhibition is compared with a preset calcium ion conductivity threshold. If the calcium ion conductivity after scale inhibition is less than the preset calcium ion conductivity threshold, the scale inhibition is deemed qualified; otherwise, it is deemed unqualified.

[0063] It should be added that the preset calcium ion conductivity threshold is a critical value of calcium ion conductivity set in advance to determine whether the scale inhibition effect meets the standard after the scale inhibition treatment of circulating water. The setting method is as follows: obtain the calcium ion conductivity and scaling rate after scale inhibition treatment in each circulating water purification process from historical data, and determine the critical conductivity value of scaling rate mutation by analyzing the relationship between conductivity and scaling rate, and use it as the preset calcium ion conductivity threshold.

[0064] The descaling analysis module performs descaling analysis based on the descaling parameters in the circulating water tank, obtains the ultrasonic frequency, and detects the thickness of scale in the circulating water tank after descaling control based on the ultrasonic frequency. Based on this, it determines whether the descaling is qualified. If the descaling is unqualified, it returns to the scale detection module.

[0065] Please see Figure 3 As shown, exemplarily, the descaling analysis includes: Q1, matching the color of the scale in the descaling parameters of the circulating water tank with the scale color corresponding to each scale layer type to obtain the scale layer type.

[0066] It should be added that different types of scale have specific colors due to differences in mineral composition and deposition environment. The type of scale can be quickly identified by color matching. For example: calcium carbonate scale is mostly white or grayish-white, calcium sulfate scale is often yellowish-white or light gray, and iron oxide scale is reddish-brown or brownish-red.

[0067] Q2. Match the scale type with the scale type corresponding to each reference ultrasonic frequency to obtain the reference ultrasonic frequency.

[0068] Q3. Normalize the thickness and hardness of scale in the descaling parameters of the circulating water tank, and perform weighted fusion analysis on the normalization results to obtain the physical influence coefficient of scale.

[0069] It should be added that the analysis of the physical influence coefficient of scale includes: normalizing the thickness and hardness of scale on the circulating water tank wall to obtain the normalized thickness and hardness of scale.

[0070] The normalized formula for the scale thickness is as follows: In the formula The thickness of the scale after normalization treatment. The thickness of scale on the walls of the circulating water tank. and These are the preset maximum and minimum scale thicknesses, respectively. and The method of obtaining the scale thickness is as follows: extract the scale thickness detected during each circulating water purification from historical data, and extract the maximum scale thickness and minimum scale thickness respectively, and use them as the preset maximum scale thickness and minimum scale thickness.

[0071] The normalized formula for the hardness of the scale is as follows: In the formula The hardness of the scale after normalization treatment. The hardness of the scale on the walls of the circulating water tank. This is the preset maximum scale hardness. The method of obtaining the scale hardness is as follows: extract the scale hardness detected during each circulating water purification from historical data, and extract the maximum scale hardness as the preset maximum scale hardness.

[0072] The thickness and hardness of the scale after normalization are weighted and fused to obtain the physical influence coefficient of the scale.

[0073] It should be added that the formula for calculating the physical influence coefficient of scale is as follows: In the formula, ξ is the physical influence coefficient of scale, and r1 and r2 are the influence weights of scale thickness and hardness after normalization treatment, respectively.

[0074] The physical impact of scale is quantitatively analyzed using a weighted fusion calculation method. On the one hand, the weight allocation reflects the actual differences in the threat posed by scale thickness and hardness to descaling difficulty and structural safety. For example, thick scale may accelerate clogging, while hard scale is more difficult to remove physically. On the other hand, normalized data from the two types of physical characteristics are directly fused to avoid a single indicator dominating the judgment, ensuring that the coefficients closely match the actual descaling needs of the system.

[0075] The influence weights are used to quantify the threat level of scale thickness and hardness to the circulating water system. They can be set based on industry experience or obtained from priority test data. For example, data such as scale thickness, hardness, descaling energy consumption, and pipe blockage frequency can be collected first. Then, the correlation coefficients between scale thickness, hardness, and descaling cost can be calculated. Regression analysis can be used to determine the contribution of scale thickness and hardness to the system threat. Finally, after normalization, the contribution is converted into the influence weights of scale thickness and hardness after normalization, while ensuring that r1+r2=1.

[0076] Q4. Compare and analyze the water temperature and flow rate of the circulating water in the descaling parameters of the circulating water tank with their preset values ​​to obtain the operating condition influence coefficient.

[0077] Furthermore, the analysis of the operating condition influence coefficient includes: Q4-1, comparing the circulating water temperature with the preset reference water temperature, and determining the temperature influence coefficient in conjunction with the preset temperature range.

[0078] It should be added that the analytical formula for the temperature influence coefficient is as follows: In the formula, η is the temperature influence coefficient, T is the circulating water temperature, T′ is the reference water temperature of the circulating water, and T min and T max These are the lower and upper limits of the preset temperature range, respectively.

[0079] It should be added that the preset temperature range refers to the temperature range within which the circulating water has a lower tendency to form scale. The scale deposition rate at each water temperature is obtained from historical data, and then the temperature with a scale deposition rate lower than the threshold is selected to construct the preset temperature range. The preset reference water temperature is the middle value of the preset temperature range.

[0080] Q4-2. Calculate the relative deviation between the circulating water flow rate and the preset flow rate to obtain the flow rate influence coefficient.

[0081] It should be added that the preset flow rate is a reference standard set in advance by the circulating water system to ensure scale inhibition and removal efficiency and safe operation of the equipment.

[0082] Q4-3. The temperature influence coefficient and the flow velocity influence coefficient are weighted and fused to obtain the operating condition influence coefficient.

[0083] It should be added that the formula for calculating the operating condition influence coefficient is λ=η×y1+η′×y2, where λ is the operating condition influence coefficient, η′ is the flow velocity influence coefficient, and y1 and y2 are the influence weights of the temperature influence coefficient and the flow velocity influence coefficient, respectively.

[0084] The quantitative analysis of the operating condition influence coefficient is carried out by weighted fusion calculation method. On the one hand, the weight allocation reflects the difference in the impact of temperature and flow rate on scaling. For example, excessively high water temperature will accelerate scale crystallization, while insufficient flow rate will reduce the scouring force of water flow. On the other hand, the normalized data of the two types of physical characteristics are directly integrated to avoid the reliance on a single indicator for judgment, making the coefficient more consistent with actual operating conditions.

[0085] The influence weights are used to quantify the threat of temperature and flow rate influence coefficients to scaling in circulating water. They can be set based on industry experience or obtained from priority test data. For example, first collect temperature and flow rate influence coefficients and descaling energy consumption under corresponding operating conditions, then calculate the correlation coefficients between temperature and flow rate influence coefficients and descaling energy consumption, determine the contribution of temperature and flow rate influence coefficients to descaling through regression analysis, and finally normalize the data to convert the contribution into the influence weights of temperature and flow rate influence coefficients, while ensuring that y1+y2=1.

[0086] Q5. Calculate the ultrasonic frequency by multiplying the reference ultrasonic frequency by the physical influence coefficient of scale and the influence coefficient of operating conditions.

[0087] It should be added that the formula for calculating the ultrasonic frequency is θ=θ′×(1+ξ×λ), where θ is the ultrasonic frequency and θ′ is the reference ultrasonic frequency.

[0088] This invention determines the scale type by matching scale color and calculates the ultrasonic frequency by combining the physical influence coefficient of scale after normalization of thickness and hardness with the working condition influence coefficient of water temperature and flow rate ratio analysis. This avoids the shortcomings of insufficient dimensions in the current descaling parameter analysis, improves the targeting of electromagnetic descaling, and enhances adaptability under complex working conditions.

[0089] For example, the determination of descaling qualification includes comparing the scale thickness in the circulating water tank after descaling control with a preset scale thickness threshold.

[0090] If the scale thickness in the circulating water tank after descaling is less than the preset scale thickness threshold, the descaling is deemed qualified; otherwise, the descaling is deemed unqualified.

[0091] This invention utilizes the synergistic effect of scale inhibition analysis and scale removal analysis. Scale inhibition analysis interferes with the growth of scale crystals at the source, while scale removal analysis dynamically adjusts the ultrasonic frequency to effectively remove existing scale, thereby reducing the system's energy consumption.

[0092] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0093] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0094] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0095] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0096] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0097] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An electromagnetic scale inhibition control system for circulating water purification, characterized in that: The system includes: The pulse analysis module detects the initial content of microorganisms and the initial content of various microorganisms in the filtered influent, and performs pulse treatment on the filtered influent through the pulse electric field parameters of the pulse analysis. The pulse determination module detects the microbial parameters of the influent after pulse treatment and compares them with the initial microbial content to determine whether the pulse is qualified. If the pulse is unqualified, the pulse compensation mechanism is triggered. If the pulse is qualified, the scale detection module will introduce water into the circulating water tank and detect the concentration of each ion in the circulating water and the descaling parameters in the circulating water tank. The scale inhibition analysis module calculates the electromagnetic field frequency based on the concentration of various ions in the circulating water in the circulating water tank using Kohlrausch's law, and detects the calcium ion concentration in the circulating water after scale inhibition control based on the electromagnetic field frequency. Based on this, it makes a scale inhibition qualification judgment. If the scale inhibition is unqualified, it returns to the scale detection module. The descaling analysis module analyzes the descaling parameters in the circulating water tank, obtains the ultrasonic frequency, and detects the thickness of the scale in the circulating water tank after descaling control based on the ultrasonic frequency. Based on this, it determines whether the descaling is qualified. If the descaling is unqualified, it returns to the scale detection module. The descaling analysis includes: Q1, matching the color of the scale in the descaling parameters of the circulating water tank with the scale color corresponding to each scale layer type to obtain the scale layer type; Q2. Match the scale type with the scale type corresponding to each reference ultrasonic frequency to obtain the reference ultrasonic frequency; Q3. Normalize the thickness and hardness of scale in the descaling parameters of the circulating water tank, and perform weighted fusion analysis on the normalization results to obtain the physical influence coefficient of scale. Q4. Compare and analyze the water temperature and flow rate of the circulating water in the descaling parameters of the circulating water tank with their preset values ​​to obtain the operating condition influence coefficient. Q5. Calculate the ultrasonic frequency by multiplying the reference ultrasonic frequency by the physical influence coefficient of scale and the influence coefficient of operating conditions.

2. The electromagnetic scale inhibition control system for circulating water purification according to claim 1, characterized in that: The pulse analysis includes: The initial microbial content of the filtered influent is matched with the microbial content range corresponding to each pulse frequency to obtain the basic pulse frequency of the influent purifier. The ratio of the initial content of various microorganisms to the initial content of influent microorganisms is taken as the initial content percentage of various microorganisms. The initial content ratio of various microorganisms is coupled with their preset influence weights to obtain the correction coefficient of the pulse frequency. The product of the correction coefficient and the base pulse frequency is then used as the pulse frequency. Similarly, the pulse width and electric field strength are obtained by analyzing the pulse frequency in the same way, and the pulse frequency, pulse width, and electric field strength are used as pulse electric field parameters.

3. The electromagnetic scale inhibition control system for circulating water purification according to claim 1, characterized in that: The determination of whether the pulse is qualified includes: The microbial content of the influent is extracted from the microbial parameters, and the difference between the initial microbial content and the initial content is used to obtain the microbial removal content. The ratio of the removed microbial content to the initial content is used as the overall microbial removal rate. The overall removal rate of microorganisms is compared with its preset threshold. If the overall removal rate of microorganisms is greater than the preset threshold, the pulse is deemed qualified; otherwise, the pulse is deemed unqualified.

4. The electromagnetic scale inhibition control system for circulating water purification according to claim 3, characterized in that: The trigger pulse compensation mechanism includes: The content of various microorganisms is extracted from the microbial parameters, and then the removal rate of various microorganisms is obtained by similar analysis according to the overall removal rate analysis method. The removal rate of each type of microorganism was compared with its preset value. Microorganisms with a removal rate lower than the preset value were screened and identified as substandard microorganisms. The correction ratios for each pulse electric field parameter corresponding to each type of non-compliant microorganism are extracted from the preset correction ratios for various microbial parameters. The pulse frequency, pulse width, and electric field intensity in the pulse electric field parameters are coupled with the correction ratio of each pulse electric field parameter corresponding to each type of non-compliant microorganism to obtain the compensation values ​​of each type of non-compliant microorganism in the dimensions of frequency, width, and intensity. Then, the maximum value is selected from the compensation values ​​of each dimension and combined to form the pulse electric field compensation parameters, and pulse compensation is performed accordingly. The content of various non-compliant microorganisms is detected after pulse compensation, and the removal rate of various non-compliant microorganisms is calculated. If there are still non-compliant microorganisms with a removal rate less than the preset value, pulse compensation is performed again until the removal rate of various non-compliant microorganisms is greater than the preset value.

5. The electromagnetic scale inhibition control system for circulating water purification according to claim 1, characterized in that: The calculation of electromagnetic field frequency includes: W1. Based on the concentration of each ion in the circulating water, calculate the total conductivity of the circulating water using Kohlrausch's law; W2. Match the total conductivity with the conductivity range corresponding to each reference frequency to obtain the reference frequency of the circulating water; W3. Based on the total conductivity and the reference frequency, a coupling analysis is performed to obtain the electromagnetic field frequency.

6. The electromagnetic scale inhibition control system for circulating water purification according to claim 5, characterized in that: The calculation of the total conductivity of the circulating water includes: The concentration of calcium ions is obtained from the concentration of various ions in the circulating water, and then the conductivity of calcium ions is calculated using Kohlrausch's law. The concentrations of each auxiliary ion are obtained from the concentrations of each ion in the circulating water. Then, the conductivity of each auxiliary ion is calculated in the same way as the calcium ion concentration. The concentrations are then summed to obtain the conductivity of the auxiliary ions in the circulating water. The total conductivity of circulating water was obtained by coupling analysis of calcium ion conductivity and auxiliary ion conductivity.

7. The electromagnetic scale inhibition control system for circulating water purification according to claim 1, characterized in that: The determination of scale inhibition compliance includes: Based on the calcium ion concentration in circulating water after scale inhibition control by electromagnetic field frequency, the calcium ion conductivity after scale inhibition is calculated. The calcium ion conductivity after scale inhibition is compared with a preset calcium ion conductivity threshold. If the calcium ion conductivity after scale inhibition is less than the preset calcium ion conductivity threshold, the scale inhibition is deemed qualified; otherwise, it is deemed unqualified.

8. The electromagnetic scale inhibition control system for circulating water purification according to claim 7, characterized in that: The analysis of the operating condition influence coefficient includes: The temperature of the circulating water is compared with the preset reference temperature, and the temperature influence coefficient is determined by combining the preset temperature range. The relative deviation between the circulating water velocity and the preset velocity is calculated to obtain the velocity influence coefficient. The operating condition influence coefficient is obtained by weighted fusion calculation of the temperature influence coefficient and the flow velocity influence coefficient.

9. The electromagnetic scale inhibition control system for circulating water purification according to claim 1, characterized in that: The determination of whether descaling is qualified includes: The thickness of scale in the circulating water tank after descaling control is compared with the preset scale thickness threshold. If the scale thickness in the circulating water tank after descaling is less than the preset scale thickness threshold, the descaling is deemed qualified; otherwise, the descaling is deemed unqualified.

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