Intelligent decision support system based on magnetic separation sewage treatment

Abstract

The invention discloses an intelligent decision support system based on magnetic separation sewage treatment, and particularly relates to the technical field of sewage treatment.The intelligent decision support system is characterized in that an adjustment coefficient is obtained by obtaining water quality data of to-be-treated sewage; a preliminary magnetic field intensity value is obtained by combining a preset standard magnetic field intensity value, and the preliminary magnetic field intensity value is applied to the sewage; obtaining the particle aggregation block size, the pollutant concentration and the adsorbent capture rate of the sewage in a preset time period to obtain a magnetic field evaluation coefficient; the magnetic field evaluation coefficient is compared with the preset magnetic field evaluation coefficient threshold value, and when the magnetic field evaluation coefficient is not smaller than the preset magnetic field evaluation coefficient threshold value, the magnetic field intensity applied during sewage treatment is continuously adjusted to ensure that the magnetic field evaluation coefficient is always smaller than the preset magnetic field evaluation coefficient threshold value, so that the magnetic field intensity can be dynamically adjusted according to actual conditions; the possible sewage treatment effect is optimal, and meanwhile, the influence on the environment is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of sewage treatment, and in particular to an intelligent decision support system based on magnetic separation sewage treatment. Background Art

[0002] The intelligent decision support system for wastewater treatment based on magnetic separation aims to use magnetic separation technology to intelligently manage and optimize the wastewater treatment process to improve treatment efficiency and effect; the general wastewater treatment steps of magnetic separation are: through preliminary filtration in the wastewater pretreatment stage, large solid matter and sediment are removed to reduce the burden of subsequent treatment; then, coagulants are added to aggregate the fine particles in the wastewater into larger flocs for subsequent separation; in the process of adding magnetic substances, specific magnetic particles (such as modified magnetic iron oxide) are added to the wastewater, and these particles combine with pollutants in the wastewater to form composite particles that are easy to separate, and usually a certain reaction time is required to ensure full combination; in the magnetic separation stage, the wastewater is introduced into the magnetic separation equipment, and an external magnetic field is applied to attract the pollutants combined with the magnetic particles to the surface of the magnet, thereby achieving solid-liquid separation; the separated pollutants and magnetic particles are collected by mechanical devices or gravity methods, and the remaining clean water enters the subsequent treatment links (such as biological treatment or membrane filtration) to meet the discharge standards; the magnetic particles can be recycled and reused or safely disposed of after treatment to improve resource utilization and reduce environmental impact;

[0003] In the above-mentioned technologies, the strength of the magnetic field is very important during the magnetic separation stage. If the strength of the magnetic field is too large, it may cause particle agglomeration, accelerated sedimentation and energy waste, while if the strength of the magnetic field is too small, it will lead to low separation efficiency, particle loss and prolonged processing time. However, generally during the magnetic separation stage, the magnetic field strength remains basically unchanged. If the magnetic field strength cannot be dynamically adjusted according to actual conditions, it may lead to poor sewage treatment effects and affect the environment. Summary of the invention

[0004] The purpose of the present invention is to solve the problem and propose an intelligent decision support system based on magnetic separation sewage treatment.

[0005] The present invention proposes an intelligent decision support system based on magnetic separation sewage treatment, the system comprising:

[0006] Adjustment coefficient module: obtains water quality data of the sewage to be treated, and obtains the adjustment coefficient according to the water quality data; the water quality data includes sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient;

[0007] Preliminary magnetic field strength module: obtains a preliminary magnetic field strength value according to the adjustment coefficient and the preset standard magnetic field strength value, and applies a magnetic field to the sewage, and the magnetic field strength is the preliminary magnetic field strength value;

[0008] Magnetic field state assessment module: after the sewage is treated for a preset time by applying magnetic field strength, the particle aggregation size, pollutant concentration and adsorbent capture rate of the sewage within the preset time period are obtained, and the magnetic field assessment coefficient is obtained according to the particle aggregation size, pollutant concentration and adsorbent capture rate;

[0009] Dynamic adjustment module: compares the magnetic field evaluation coefficient with the preset magnetic field evaluation coefficient threshold. When the magnetic field evaluation coefficient is not less than the preset magnetic field evaluation coefficient threshold, continuously adjusts the magnetic field strength applied to sewage treatment to ensure that the magnetic field evaluation coefficient is always less than the preset magnetic field evaluation coefficient threshold.

[0010] Optionally, the adjustment coefficient module includes:

[0011] The actual flow rate of the sewage to be treated is obtained, and the sewage flow rate coefficient is calculated according to the preset standard flow rate. The calculation formula is:

[0012]

[0013] In the formula, DE is the sewage flow rate coefficient, Cg is the actual sewage flow rate, Cv is the preset standard flow rate, Cb is the preset flow rate deviation range, α is the amplification factor, α = 2, which is used to adjust the nonlinear influence of the flow rate coefficient, β is the deviation weight coefficient, which is used to adjust the increase of the coefficient when it deviates from the standard value, β = 1.5.

[0014] Optionally, the adjustment coefficient module further includes:

[0015] Obtain the number of particles in the wastewater to be treated, obtain the size of each particle, and calculate the wastewater particle size coefficient based on the preset particle standard size. The calculation formula is:

[0016]

[0017] Wherein, FE is the sewage particle size coefficient, Ea is the size of the particle, Ed is the preset particle standard size, Em is the preset particle size deviation range, γ is the amplification coefficient, which is used to adjust the nonlinear influence of the particle size, γ = 1.5, δ is the deviation weight coefficient, which is used to adjust the increase of the coefficient when it deviates from the standard value, δ = 1.2, i represents the ordinal number of the particles in the sewage to be treated, and N represents the total number of particles in the sewage to be treated.

[0018] Optionally, the adjustment coefficient module further includes:

[0019] The actual dosage of the adsorbent in the wastewater to be treated is obtained, and the adsorbent dosage coefficient is calculated in combination with the preset standard adsorbent dosage. The calculation formula is:

[0020]

[0021] Wherein, WE is the adsorbent dosage coefficient, Qk is the actual dosage of the adsorbent, Ql is the preset standard adsorbent dosage, Qn is the preset adsorbent dosage deviation range, η is the amplification coefficient, which is used to adjust the nonlinear effect of the adsorbent dosage, η = 1.3, ζ is the deviation weight coefficient, which is used to adjust the increase of the coefficient when it deviates from the standard value, ζ = 1.1.

[0022] Optionally, the adjustment coefficient module further includes:

[0023] The adjustment coefficient is obtained according to the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient. The calculation formula is:

[0024]

[0025] Wherein, Dax is the adjustment coefficient, DE, FE and WE are the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient respectively, a1, a2 and a3 are the preset proportional coefficients of the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient respectively, and a1, a2 and a3 are all greater than 0.

[0026] Optionally, the preliminary magnetic field strength module includes:

[0027] HJL=HJK×(1+Dax)

[0028] Wherein, HJL is the preliminary magnetic field strength value, HJK is the preset standard magnetic field strength value, and Dax is the adjustment coefficient.

[0029] Optionally, the magnetic field state assessment module includes:

[0030] The number of particle agglomerates in the sewage within a preset time period is obtained, and the size of each particle agglomerate is obtained, and the particle agglomerate deviation coefficient is obtained according to the preset standard particle agglomerate size. The calculation formula is: Where BY is the particle aggregation deviation coefficient, PT h represents the size of the hth particle cluster, and u represents the total number of particle clusters.

[0031] Optionally, the magnetic field state assessment module further includes:

[0032] Obtain the pollutant concentration of the sewage before and after the preset time period, and obtain the pollutant concentration reduction deviation coefficient DU of the sewage. The calculation formula is: DU = DV-DG / DH, where DV and DG represent the pollutant concentrations before and after the preset time period, respectively, and DH represents the preset minimum reduction pollutant concentration difference;

[0033] The total mass of magnetic adsorbent put into sewage within the preset time period and the mass of magnetic adsorbent already adsorbed by the magnetic field are obtained to obtain the adsorbent capture rate difference coefficient QT. The calculation formula is: QT = (1-BJ / BU), where BJ and BU represent the total mass of magnetic adsorbent put into sewage within the preset time period and the mass of magnetic adsorbent already adsorbed by the magnetic field, respectively.

[0034] Optionally, the magnetic field state assessment module further includes:

[0035] According to the particle aggregation deviation coefficient BY, the pollutant concentration reduction deviation coefficient DU and the adsorbent capture rate difference coefficient QT to the magnetic field evaluation coefficient, the calculation formula is:

[0036] Qer=b1×BY+b2×DU+b3×QT

[0037] Where Qer is the magnetic field evaluation coefficient, b1, b2, and b3 are the preset proportional coefficients of the particle aggregation deviation coefficient, the pollutant concentration reduction deviation coefficient, and the adsorbent capture rate difference coefficient, respectively, and b1, b2, and b3 are all greater than 0.

[0038] Optionally, the dynamic adjustment module includes:

[0039] The magnetic field evaluation coefficient is compared with a preset magnetic field evaluation coefficient threshold. When the magnetic field evaluation coefficient is not less than the preset magnetic field evaluation coefficient threshold, the magnetic field strength applied to the sewage treatment is continuously adjusted to ensure that the magnetic field evaluation coefficient is always less than the preset magnetic field evaluation coefficient threshold;

[0040] When the magnetic field evaluation coefficient is less than the preset magnetic field evaluation coefficient threshold, the magnetic field is still applied to the sewage, and the magnetic field strength is the preliminary magnetic field strength value.

[0041] Beneficial effects of the present invention:

[0042] The present invention proposes an intelligent decision support system for magnetic separation sewage treatment, which obtains water quality data of sewage to be treated and obtains an adjustment coefficient according to the water quality data; obtains a preliminary magnetic field strength value according to the adjustment coefficient and a preset standard magnetic field strength value, and applies a magnetic field to the sewage, and the magnetic field strength is the preliminary magnetic field strength value. After the sewage is treated for a preset time by applying the magnetic field strength, the particle aggregation size, pollutant concentration and adsorbent capture rate of the sewage within the preset time period are obtained to obtain a magnetic field evaluation coefficient; the magnetic field evaluation coefficient is compared with a preset magnetic field evaluation coefficient threshold, and when the magnetic field evaluation coefficient is not less than the preset magnetic field evaluation coefficient threshold, the magnetic field strength applied to the sewage treatment is continuously adjusted to ensure that the magnetic field evaluation coefficient is always less than the preset magnetic field evaluation coefficient threshold, so that the magnetic field strength can be dynamically adjusted according to the actual situation, so that the possible sewage treatment effect is optimized, while reducing the impact on the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] Figure 1 This is the framework diagram of the intelligent decision support system based on magnetic separation wastewater treatment. DETAILED DESCRIPTION

[0045] 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 only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0047] The embodiment of the present invention provides an intelligent decision support system based on magnetic separation sewage treatment. Figure 1 , Figure 1 The framework diagram of the intelligent decision support system based on magnetic separation sewage treatment provided by the embodiment of the present invention. The system includes:

[0048] Adjustment coefficient module: obtains water quality data of the sewage to be treated and obtains the adjustment coefficient based on the water quality data; the water quality data includes sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient;

[0049] Preliminary magnetic field strength module: obtains a preliminary magnetic field strength value according to the adjustment coefficient and the preset standard magnetic field strength value, and applies a magnetic field to the sewage, and the magnetic field strength is the preliminary magnetic field strength value;

[0050] Magnetic field state assessment module: after the sewage is treated for a preset time by applying magnetic field strength, the particle aggregation size, pollutant concentration and adsorbent capture rate of the sewage within the preset time period are obtained, and the magnetic field assessment coefficient is obtained according to the particle aggregation size, pollutant concentration and adsorbent capture rate;

[0051] Dynamic adjustment module: compares the magnetic field evaluation coefficient with the preset magnetic field evaluation coefficient threshold. When the magnetic field evaluation coefficient is not less than the preset magnetic field evaluation coefficient threshold, continuously adjusts the magnetic field strength applied to sewage treatment to ensure that the magnetic field evaluation coefficient is always less than the preset magnetic field evaluation coefficient threshold.

[0052] The intelligent decision support system for magnetic separation sewage treatment provided by the embodiment of the present invention can dynamically adjust the magnetic field strength according to the actual situation through the above method, so as to achieve the best possible sewage treatment effect while reducing the impact on the environment.

[0053] In one embodiment, the adjustment coefficient module includes:

[0054] The actual flow rate of the sewage to be treated is obtained, and the sewage flow rate coefficient is calculated according to the preset standard flow rate. The calculation formula is:

[0055]

[0056] In the formula, DE is the sewage flow rate coefficient, Cg is the actual sewage flow rate, Cv is the preset standard flow rate, Cb is the preset flow rate deviation range (positive and negative deviation of the standard flow rate), α is the amplification factor, which is used to adjust the nonlinear influence of the flow rate coefficient (such as α = 2), and β is the deviation weight coefficient, which is used to adjust the increase of the coefficient when it deviates from the standard value (such as β = 1.5).

[0057] It should be noted that the preset standard flow rate and the preset flow rate deviation range are set by professionals according to actual conditions, and are not specifically limited or elaborated;

[0058] It should be noted that a flow meter may be used to measure the actual flow rate of the sewage to be treated, or other measurement methods may be used, depending on the actual situation, and no limitation or elaboration will be made.

[0059] It should be noted that the main function of the amplification coefficient α is to adjust the nonlinear effect of the sewage flow rate on the flow rate coefficient, that is, when the actual sewage flow rate changes relative to the standard flow rate, the increase or decrease of the sewage flow rate coefficient will be amplified or reduced; the value of α = 2 can make the flow rate coefficient more sensitive to the change of flow rate. When the actual flow rate increases or decreases relative to the standard flow rate, the coefficient will increase or decrease in the form of a square, thereby reflecting a more obvious change; this setting can better capture the impact of sewage flow rate on the treatment effect in practical applications, especially when the treatment system is more sensitive to flow rate changes; the deviation weight coefficient β is used to measure the additional impact of the actual sewage flow rate on the flow rate coefficient when it deviates from the standard flow rate; when the actual flow rate deviates from the standard flow rate by a large margin, the deviation weight coefficient will amplify the impact of this deviation; the value of β = 1.5 can ensure that the system is sufficiently sensitive to the deviation change while avoiding excessive amplification of the deviation, resulting in unnecessary misjudgment. This value can moderately balance the impact of the actual flow rate deviating from the standard flow rate, so that the coefficient increases moderately with the increase of the deviation, reflecting the progressive impact of the deviation on the treatment effect. Generally, α=2 and β=1.5, but they can also be set by professionals according to actual conditions, and the specifics are not limited or elaborated.

[0060] In one implementation, the amplification coefficient and the deviation weight coefficient are set to ensure that the system is sufficiently sensitive to changes in sewage flow rate while avoiding overreaction to flow rate fluctuations, so that the sewage flow rate coefficient more reasonably reflects changes in actual sewage treatment.

[0061] In one embodiment, the adjustment coefficient module further includes:

[0062] Obtain the number of particles in the wastewater to be treated, obtain the size of each particle, and calculate the wastewater particle size coefficient based on the preset particle standard size. The calculation formula is:

[0063]

[0064] Wherein, FFE is the sewage particle size coefficient, Ea is the size of the particle, Ed is the preset particle standard size, Em is the preset particle size deviation range, γ is the amplification coefficient, which is used to adjust the nonlinear influence of the particle size (such as γ = 1.5), δ is the deviation weight coefficient, which is used to adjust the increase of the coefficient when it deviates from the standard value (such as δ = 1.2), i represents the ordinal number of the particle in the sewage to be treated, and N represents the total number of particles in the sewage to be treated.

[0065] It should be noted that the preset particle standard size and the preset particle size deviation range are set by professionals according to actual conditions, and are not specifically limited or elaborated;

[0066] It should be noted that a laser particle size analyzer may be used to measure the size of each particle in the wastewater to be treated, or other measurement methods may be used, depending on the actual situation and will not be limited or elaborated on.

[0067] It should be noted that in the calculation of the sewage particle size coefficient, the amplification coefficient γ and the deviation weight coefficient δ play the role of adjusting the nonlinear effect of particle size on the coefficient and the effect of the increase when it deviates from the standard size; the role of the amplification coefficient γ is to adjust the nonlinear effect of particle size on the sewage particle size coefficient; the general value of γ = 1.5 means that the change of particle size relative to the standard size will affect the final particle size coefficient in the form of 1.5 power; the purpose of this design is to amplify the effect of this deviation when the particle size in the sewage deviates from the standard size, so that the effect of particle size on the sewage treatment process can be more significantly reflected in the calculation results. This amplification effect can help the system respond more sensitively to the changes in particle size, thereby providing more targeted feedback for the adjustment of magnetic field strength; in practical applications, the setting of 1.5 power can amplify the change in particle size while avoiding excessive amplification and maintaining the stability of the calculation.

[0068] The deviation weight coefficient δ is used to measure the impact of the degree of deviation of the actual particle size from the standard size on the particle size coefficient. The general value of δ = 1.2 is that when the actual particle size deviates from the preset standard size, the impact of this deviation can be moderately amplified; the coefficient value of 1.2 is slightly larger than 1, indicating that the system has a certain sensitivity to deviations, but will not overly amplify the impact of such deviations. In the sewage treatment process, a slight deviation in the size of the particles may not significantly affect the treatment effect, so setting the deviation weight coefficient to 1.2 can avoid overreaction. This setting can help the system make reasonable adjustments when the particle size deviates from the standard, thereby improving the reliability and accuracy of the calculation.

[0069] In one implementation, the above method can fully reflect the impact of particle size on treatment effect without introducing too much fluctuation, ensuring the rationality and sensitivity of the system in calculating the sewage particle size coefficient.

[0070] In one embodiment, the adjustment coefficient module further includes:

[0071] The actual dosage of the adsorbent in the wastewater to be treated is obtained, and the adsorbent dosage coefficient is calculated in combination with the preset standard adsorbent dosage. The calculation formula is:

[0072]

[0073] Wherein, WE is the adsorbent dosage coefficient, Qk is the actual dosage of the adsorbent, Ql is the preset standard adsorbent dosage, Qn is the preset adsorbent dosage deviation range, η is the amplification coefficient, which is used to adjust the nonlinear effect of the adsorbent dosage (such as η = 1.3), ζ is the deviation weight coefficient, which is used to adjust the coefficient increase when it deviates from the standard value (such as ζ = 1.1).

[0074] It should be noted that the preset standard adsorbent dosage and the preset adsorbent dosage deviation range are set by professionals according to actual conditions, and are not specifically limited or elaborated;

[0075] It should be noted that the actual dosage of the adsorbent may be obtained based on the adsorbent dosage record, or in other ways, which will not be limited or elaborated in detail.

[0076] It should be noted that in the calculation of the adsorbent dosage coefficient, the amplification coefficient η and the deviation weight coefficient ζ play the role of adjusting the nonlinear effect of the actual adsorbent dosage on the treatment effect and the increase effect when it deviates from the standard dosage;

[0077] The main function of the amplification coefficient η is to adjust the nonlinear effect of the difference between the actual dosage of the adsorbent and the standard dosage on the dosage coefficient; the general value of η = 1.3 is to moderately amplify the change in the actual dosage relative to the standard dosage; the purpose of this design is that when the actual dosage deviates from the standard dosage, the difference can be amplified in the form of 1.3, so that the adsorbent dosage coefficient can more clearly reflect the impact of the change in dosage on the sewage treatment effect. This amplification effect can help the system adjust the magnetic field strength in time when the actual dosage is insufficient or excessive to ensure the best treatment effect. The value of 1.3 is mainly selected to avoid the violent fluctuations and instability of the calculation results caused by excessive nonlinearity while amplifying the effect; compared with the amplification coefficient of 1.5 or higher, 1.3 is smoother and can balance the amplification effect and calculation stability.

[0078] The function of the deviation weight coefficient ζ is to measure the impact of the deviation of the actual adsorbent dosage from the standard dosage on the coefficient; the general value of ζ = 1.1 is to slightly amplify the impact of the deviation when the actual adsorbent dosage deviates from the standard value, but not excessively. Selecting 1.1 as the deviation weight coefficient means that the system has a certain sensitivity to the deviation of the adsorbent dosage, but will not over-adjust the system because the deviation slightly exceeds the preset standard. This design prevents the system from reacting violently when faced with slight dosage deviations, thereby avoiding the system from frequently adjusting the magnetic field strength and ensuring the stability and continuity of the sewage treatment process. At the same time, such a value can make a more timely response to the system in the event of a large deviation, avoiding the impact of insufficient or excessive adsorbent dosage on the treatment effect.

[0079] In one implementation, the combination of the above-mentioned amplification factor and the deviation weight factor can ensure that the system is sensitive to changes in adsorbent dosage while avoiding excessive adjustments due to slight deviations. It can effectively reflect the impact of actual dosage on the treatment effect and maintain the stability and reliability of the system in actual applications.

[0080] In one embodiment, the adjustment coefficient module further includes:

[0081] The adjustment coefficient is obtained according to the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient. The calculation formula is:

[0082]

[0083] Wherein, Dax is the adjustment coefficient, DE, FFE and WE are the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient respectively, a1, a2 and a3 are the preset proportional coefficients of the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient respectively, and a1, a2 and a3 are all greater than 0.

[0084] It should be noted that a1, a2, and a3 are set by professionals according to actual conditions. Generally, the sum of a1, a2, and a3 is 1. For example, a1, a2, and a3 can be 0.3, 0.3, and 0.4, respectively, or other numbers, without specific limitation.

[0085] In one embodiment, the preliminary magnetic field strength module includes:

[0086] HJL=HJK×(1+Dax)

[0087] Wherein, HJL is the preliminary magnetic field strength value, HJK is the preset standard magnetic field strength value, and Dax is the adjustment coefficient.

[0088] It should be noted that the preset standard magnetic field strength value is set by professionals according to actual conditions and will not be limited or elaborated on in detail.

[0089] It should be noted that when the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient are larger, the adjustment coefficient is larger and the corresponding initial magnetic field strength value is larger. The reason is that when the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient are larger, it means that the challenge in the sewage treatment process increases, and the system needs a stronger magnetic field strength to achieve effective pollutant removal; specifically, a larger sewage flow rate coefficient indicates that the fluidity of sewage is higher, and the dispersion speed of particles and adsorbents in sewage is accelerated. If the magnetic field strength is insufficient, these high-speed flowing pollutants and adsorbent particles may not be effectively captured and separated. Similarly, a larger sewage particle size coefficient indicates that the particle size in the sewage is larger, and larger particles often require a stronger magnetic field to achieve effective aggregation and sedimentation separation. Finally, a larger adsorbent dosage coefficient indicates that the actual amount of adsorbent added is increased relative to the standard dosage. This may be to treat higher concentrations of pollutants, so a stronger magnetic field is required to make full use of additional adsorbents to improve the treatment effect. Therefore, when these coefficients increase, the adjustment coefficient will also increase accordingly, thereby increasing the initial magnetic field strength value to ensure that the system can still achieve the best sewage treatment effect under more stringent conditions. This adaptive adjustment mechanism can help the system automatically optimize the magnetic field strength under different water quality conditions, thereby improving processing efficiency and stability.

[0090] In one embodiment, the magnetic field state assessment module includes:

[0091] The number of particle agglomerates in the sewage within a preset time period is obtained, and the size of each particle agglomerate is obtained, and the particle agglomerate deviation coefficient is obtained according to the preset standard particle agglomerate size. The calculation formula is: Where BY is the particle aggregation deviation coefficient, PTh represents the size of the hth particle cluster, and u represents the total number of particle clusters.

[0092] It should be noted that a laser particle size analyzer can be used to measure the size and total number of each particle cluster in the wastewater to be treated, or other measurement methods can be used, depending on the actual situation, and no limitation or elaboration is made.

[0093] It should be noted that the preset time period and the preset standard particle aggregation size are set by professionals according to actual conditions and are not specifically limited or elaborated.

[0094] In one embodiment, the magnetic field state assessment module further includes:

[0095] Obtain the pollutant concentration of the sewage before and after the preset time period, and obtain the pollutant concentration reduction deviation coefficient DU of the sewage. The calculation formula is: DU = DV-DG / DH, where DV and DG represent the pollutant concentrations before and after the preset time period, respectively, and DH represents the preset minimum reduction pollutant concentration difference;

[0096] The total mass of magnetic adsorbent put into sewage within the preset time period and the mass of magnetic adsorbent already adsorbed by the magnetic field are obtained to obtain the adsorbent capture rate difference coefficient QT. The calculation formula is: QT = (1-BJ / BU), where BJ and BU represent the total mass of magnetic adsorbent put into sewage within the preset time period and the mass of magnetic adsorbent already adsorbed by the magnetic field, respectively.

[0097] It should be noted that the pollutant concentration data of sewage is usually monitored and recorded in real time by water quality analysis sensors (such as spectrometers or chemical sensors), which can continuously collect the pollutant concentration of sewage inflow and outflow within a preset time period and automatically calculate the concentration reduction deviation coefficient. The mass data of the magnetic adsorbent needs to be accurately recorded by the metering device when adding each adsorbent, and the mass of the adsorbent successfully captured after the magnetic field is monitored by the sensor or weighing device installed in the magnetic separation device. The real-time collection and recording of these data can provide the system with accurate changes in pollutant concentration and adsorbent capture rate, which serves as the basic data source for the system to evaluate the effect of magnetic field strength and dynamic adjustment.

[0098] In one embodiment, the magnetic field state assessment module further includes:

[0099] According to the particle aggregation deviation coefficient BY, the pollutant concentration reduction deviation coefficient DU and the adsorbent capture rate difference coefficient QT to the magnetic field evaluation coefficient, the calculation formula is:

[0100] Qer=b1×BY+b2×DU+b3×QT

[0101] Where Qer is the magnetic field evaluation coefficient, b1, b2, and b3 are the preset proportional coefficients of the particle aggregation deviation coefficient, the pollutant concentration reduction deviation coefficient, and the adsorbent capture rate difference coefficient, respectively, and b1, b2, and b3 are all greater than 0.

[0102] It should be noted that b1, b2, and b3 are set by professionals according to actual conditions. Generally, the sum of b1, b2, and b3 is 1. For example, b1, b2, and b3 can be 0.4, 0.3, and 0.3, respectively, or other numbers, without specific limitation.

[0103] In one embodiment, the dynamic adjustment module includes:

[0104] The magnetic field evaluation coefficient is compared with a preset magnetic field evaluation coefficient threshold. When the magnetic field evaluation coefficient is not less than the preset magnetic field evaluation coefficient threshold, the magnetic field strength applied to the sewage treatment is continuously adjusted to ensure that the magnetic field evaluation coefficient is always less than the preset magnetic field evaluation coefficient threshold;

[0105] When the magnetic field evaluation coefficient is less than the preset magnetic field evaluation coefficient threshold, the magnetic field is still applied to the sewage, and the magnetic field strength is the preliminary magnetic field strength value.

[0106] It should be noted that the preset magnetic field evaluation coefficient threshold is set by professionals based on actual conditions and will not be limited or elaborated on in detail.

[0107] It should be noted that when the magnetic field evaluation coefficient is greater than or equal to the preset threshold, it indicates that the current magnetic field strength cannot effectively cope with the complex pollutant separation requirements in sewage, which may lead to problems such as low adsorbent capture rate and poor pollutant removal effect. At this time, the system will automatically increase the magnetic field strength applied to the sewage treatment process, and enhance the capture and aggregation ability of magnetic adsorbents and pollutant particles by increasing the magnetic field strength. The system will continue to adjust the magnetic field strength until the magnetic field evaluation coefficient drops below the preset threshold, which means that the magnetic field strength has reached the optimal level and can effectively separate and remove pollutants in sewage; on the other hand, when the magnetic field evaluation coefficient is less than the preset magnetic field evaluation coefficient threshold, it means that the current magnetic field strength is sufficient to effectively capture and aggregate magnetic adsorbents and ensure the sewage treatment effect. In this case, the system will continue to apply a magnetic field to the sewage, but the magnetic field strength will remain unchanged at the initial magnetic field strength value without further enhancement. In this way, while ensuring the treatment effect, unnecessary energy consumption increase and excessive equipment load can be avoided, thereby improving the operating efficiency and stability of the entire sewage treatment system. Through this dynamic adjustment and control strategy, the system can always maintain the optimal magnetic field strength under different water quality conditions to ensure the continuous stability of the sewage treatment effect.

[0108] In one implementation, through the above method, the magnetic field strength can be dynamically adjusted according to the actual situation, so as to achieve the best possible sewage treatment effect while reducing the impact on the environment.

[0109] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. Intelligent decision support system based on magnetic separation sewage treatment, characterized in that: The system comprises: Adjustment coefficient module: obtains water quality data of the sewage to be treated, and obtains the adjustment coefficient according to the water quality data; the water quality data includes sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient; Preliminary magnetic field strength module: obtains a preliminary magnetic field strength value according to the adjustment coefficient and the preset standard magnetic field strength value, and applies a magnetic field to the sewage, and the magnetic field strength is the preliminary magnetic field strength value; Magnetic field state assessment module: after the sewage is treated for a preset time by applying magnetic field strength, the particle aggregation size, pollutant concentration and adsorbent capture rate of the sewage within the preset time period are obtained, and the magnetic field assessment coefficient is obtained according to the particle aggregation size, pollutant concentration and adsorbent capture rate; Dynamic adjustment module: compares the magnetic field evaluation coefficient with the preset magnetic field evaluation coefficient threshold. When the magnetic field evaluation coefficient is not less than the preset magnetic field evaluation coefficient threshold, continuously adjusts the magnetic field strength applied to sewage treatment to ensure that the magnetic field evaluation coefficient is always less than the preset magnetic field evaluation coefficient threshold.

2. The intelligent decision support system based on magnetic separation sewage treatment according to claim 1 is characterized in that: The adjustment coefficient module includes: The actual flow rate of the sewage to be treated is obtained, and the sewage flow rate coefficient is calculated according to the preset standard flow rate. The calculation formula is: In the formula, DE is the sewage flow rate coefficient, Cg is the actual sewage flow rate, Cv is the preset standard flow rate, Cb is the preset flow rate deviation range, α is the amplification factor, α = 2, which is used to adjust the nonlinear influence of the flow rate coefficient, β is the deviation weight coefficient, which is used to adjust the increase of the coefficient when it deviates from the standard value, β = 1.

5.

3. The intelligent decision support system based on magnetic separation sewage treatment according to claim 2 is characterized in that: The adjustment coefficient module also includes: Obtain the number of particles in the wastewater to be treated, obtain the size of each particle, and calculate the wastewater particle size coefficient based on the preset particle standard size. The calculation formula is: Wherein, FE is the sewage particle size coefficient, Ea is the size of the particle, Ed is the preset particle standard size, Em is the preset particle size deviation range, γ is the amplification coefficient, which is used to adjust the nonlinear influence of the particle size, γ = 1.5, δ is the deviation weight coefficient, which is used to adjust the increase of the coefficient when it deviates from the standard value, δ = 1.2, i represents the ordinal number of the particles in the sewage to be treated, and N represents the total number of particles in the sewage to be treated.

4. The intelligent decision support system based on magnetic separation sewage treatment according to claim 3 is characterized in that: The adjustment coefficient module also includes: The actual dosage of the adsorbent in the wastewater to be treated is obtained, and the adsorbent dosage coefficient is calculated in combination with the preset standard adsorbent dosage. The calculation formula is: Wherein, WE is the adsorbent dosage coefficient, Qk is the actual dosage of the adsorbent, Ql is the preset standard adsorbent dosage, Qn is the preset adsorbent dosage deviation range, η is the amplification coefficient, which is used to adjust the nonlinear effect of the adsorbent dosage, η = 1.3, ζ is the deviation weight coefficient, which is used to adjust the increase of the coefficient when it deviates from the standard value, ζ = 1.

1.

5. The intelligent decision support system based on magnetic separation sewage treatment according to claim 4 is characterized in that: The adjustment coefficient module also includes: The adjustment coefficient is obtained according to the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient. The calculation formula is: Wherein, Dax is the adjustment coefficient, DE, FE and WE are the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient respectively, a1, a2 and a3 are the preset proportional coefficients of the sewage flow rate coefficient, sewage particle size coefficient and adsorbent dosage coefficient respectively, and a1, a2 and a3 are all greater than 0.

6. The intelligent decision support system based on magnetic separation sewage treatment according to claim 1 is characterized in that: The preliminary magnetic field strength module includes: HJL=HJK×(1+Dax) Wherein, HJL is the preliminary magnetic field strength value, HJK is the preset standard magnetic field strength value, and Dax is the adjustment coefficient.

7. The intelligent decision support system based on magnetic separation sewage treatment according to claim 1 is characterized in that: The magnetic field state assessment module comprises: The number of particle agglomerates in the sewage within a preset time period is obtained, and the size of each particle agglomerate is obtained, and the particle agglomerate deviation coefficient is obtained according to the preset standard particle agglomerate size. The calculation formula is: Where BY is the particle aggregation deviation coefficient, PT h represents the size of the hth particle cluster, and u represents the total number of particle clusters.

8. The intelligent decision support system based on magnetic separation sewage treatment according to claim 7 is characterized in that: The magnetic field state assessment module also includes: Obtain the pollutant concentration of the sewage before and after the preset time period, and obtain the pollutant concentration reduction deviation coefficient DU of the sewage. The calculation formula is: DU = DV-DG / DH, where DV and DG represent the pollutant concentrations before and after the preset time period, respectively, and DH represents the preset minimum reduction pollutant concentration difference; The total mass of magnetic adsorbent put into sewage within the preset time period and the mass of magnetic adsorbent already adsorbed by the magnetic field are obtained to obtain the adsorbent capture rate difference coefficient QT. The calculation formula is: QT = (1-BJ / BU), where BJ and BU represent the total mass of magnetic adsorbent put into sewage within the preset time period and the mass of magnetic adsorbent already adsorbed by the magnetic field, respectively.

9. The intelligent decision support system based on magnetic separation sewage treatment according to claim 8 is characterized in that: The magnetic field state assessment module also includes: According to the particle aggregation deviation coefficient BY, the pollutant concentration reduction deviation coefficient DU and the adsorbent capture rate difference coefficient QT to the magnetic field evaluation coefficient, the calculation formula is: Qer=b1×BY+b2×DU+b3×QT Where Qer is the magnetic field evaluation coefficient, b1, b2, and b3 are the preset proportional coefficients of the particle aggregation deviation coefficient, the pollutant concentration reduction deviation coefficient, and the adsorbent capture rate difference coefficient, respectively, and b1, b2, and b3 are all greater than 0.

10. The intelligent decision support system based on magnetic separation sewage treatment according to claim 1 is characterized in that: The dynamic adjustment module comprises: The magnetic field evaluation coefficient is compared with a preset magnetic field evaluation coefficient threshold. When the magnetic field evaluation coefficient is not less than the preset magnetic field evaluation coefficient threshold, the magnetic field strength applied to the sewage treatment is continuously adjusted to ensure that the magnetic field evaluation coefficient is always less than the preset magnetic field evaluation coefficient threshold; When the magnetic field evaluation coefficient is less than the preset magnetic field evaluation coefficient threshold, the magnetic field is still applied to the sewage, and the magnetic field strength is the preliminary magnetic field strength value.

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