Sewage treatment system and method for papermaking

Abstract

The invention relates to the technical field of sewage treatment, and discloses a papermaking sewage treatment system and method.The system comprises a sewage treatment device and a control device, the sewage treatment device is connected with the control device, and the control device comprises a strategy making module, a judgment module and a treatment module; the strategy making module is configured to determine an initial sewage treatment strategy of the sewage to be treated according to the water quality parameters; the judgment module is configured to judge whether to adjust the initial sewage treatment strategy or not according to the sewage image data; and the processing module is configured to determine an adjustment coefficient of the initial sewage treatment strategy according to the sewage image data and obtain a final sewage treatment strategy. The sewage treatment strategy can be intelligently formulated and adjusted according to the water quality parameters and the sewage image data of the to-be-treated sewage actually entering the sewage treatment device, so that the sewage treatment efficiency is improved, and the treatment cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to a sewage treatment system and method for papermaking. Background Art

[0002] If wastewater generated by the papermaking industry is discharged directly into the natural environment without effective treatment, it will cause extremely serious pollution to aquatic ecosystems, disrupting the ecological balance of water bodies, affecting biodiversity, and even posing a threat to human health. Traditional wastewater treatment methods, such as physical precipitation and chemical coagulation, often suffer from low treatment efficiency and unsatisfactory treatment results. They are unable to effectively remove various pollutants in wastewater and are even more difficult to meet the increasingly stringent environmental protection standards and requirements of modern society.

[0003] Therefore, it is necessary to design a sewage treatment system and method for papermaking to solve the problems existing in the current technology. Summary of the Invention

[0004] In view of this, the present invention proposes a sewage treatment system and method for papermaking, which aims to improve sewage treatment efficiency, reduce treatment costs, and ensure that the treated water quality meets discharge standards.

[0005] In one aspect, the present invention provides a wastewater treatment system for papermaking, comprising:

[0006] A sewage treatment device and a control device, wherein the sewage treatment device is connected to the control device, and the control device includes a strategy formulation module, a judgment module and a processing module;

[0007] The strategy formulation module is configured to collect water quality parameters of the untreated sewage entering the sewage treatment device and determine an initial sewage treatment strategy for the untreated sewage based on the water quality parameters; wherein the sewage treatment strategy includes an initial sewage stirring speed, an initial sewage stirring time, and an initial dosage;

[0008] The judgment module is configured to collect sewage image data of the sewage to be treated, and judge whether to adjust the initial sewage treatment strategy according to the sewage image data;

[0009] The processing module is configured to, when it is determined that the initial sewage treatment strategy is to be adjusted, determine an adjustment coefficient of the initial sewage treatment strategy according to the sewage image data and obtain a final sewage treatment strategy.

[0010] Furthermore, when determining the initial sewage treatment strategy for the sewage to be treated according to the water quality parameters, it includes:

[0011] Analyzing the water quality parameters to obtain the suspended solids concentration, conductivity, pH value and organic pollutant content of the wastewater to be treated;

[0012] Determining a basic sewage treatment strategy for the sewage to be treated according to the suspended solids concentration;

[0013] determining whether to compensate for the basic sewage treatment strategy according to the conductivity;

[0014] If so, the compensation coefficient of the basic sewage strategy is determined according to the conductivity, pH value and organic pollutant content, and the initial sewage treatment strategy is determined.

[0015] Furthermore, when determining the basic sewage treatment strategy for the sewage to be treated according to the suspended solids concentration, it includes:

[0016] comparing the suspended solids concentration with a first suspended solids concentration and a second suspended solids concentration, and determining the basic sewage treatment strategy according to the comparison result; wherein the first suspended solids concentration is less than the second suspended solids concentration;

[0017] When the suspended solids concentration is less than or equal to the first suspended solids concentration, determining the basic sewage treatment strategy to be the first sewage treatment strategy;

[0018] When the suspended solids concentration is greater than the first suspended solids concentration and less than or equal to the second suspended solids concentration, determining the sewage treatment strategy to be the second sewage treatment strategy;

[0019] When the suspended solids concentration is greater than the second suspended solids concentration, the sewage treatment strategy is determined to be the second sewage treatment strategy.

[0020] Furthermore, when determining whether to compensate for the basic sewage treatment strategy according to the conductivity, it includes:

[0021] Comparing the conductivity with a conductivity threshold, and determining whether to compensate for the basic sewage treatment strategy based on the comparison result;

[0022] When the conductivity is greater than or equal to the conductivity threshold, determining to compensate the basic sewage treatment strategy;

[0023] Otherwise, it is determined that no compensation is to be made to the basic sewage treatment strategy.

[0024] Furthermore, determining the compensation coefficient of the basic sewage strategy according to the conductivity, pH value and organic pollutant content, and determining the initial sewage treatment strategy includes:

[0025] constructing a sewage compensation group according to the conductivity, pH value and organic pollutant content;

[0026] Comparing the sewage compensation group with the historical compensation group, and determining the compensation coefficient of the basic sewage strategy according to the comparison result;

[0027] When there is a historical sewage compensation group that is the same as the sewage compensation group in the historical compensation group, the historical compensation coefficient corresponding to the historical sewage compensation group is used as the compensation coefficient;

[0028] When there is no historical sewage compensation group identical to the sewage compensation group in the historical compensation group, the correlation between the current sewage compensation group and each of the historical sewage compensation groups is calculated one by one, and the maximum correlation is extracted, and the compensation coefficient is determined according to the maximum correlation.

[0029] Furthermore, when determining the compensation coefficient according to the maximum correlation degree, it includes:

[0030] Comparing the maximum degree of association with a first maximum degree of association and a second maximum degree of association, and determining the compensation coefficient according to the comparison result; wherein the first maximum degree of association is smaller than the second maximum degree of association;

[0031] When the maximum degree of association is less than the first maximum degree of association, determining the compensation coefficient to be a first compensation coefficient;

[0032] When the maximum degree of association is greater than or equal to the first maximum degree of association and less than the second maximum degree of association, determining the compensation coefficient to be a second compensation coefficient;

[0033] When the maximum degree of association is greater than or equal to the second maximum degree of association, determining the compensation coefficient to be a third compensation coefficient;

[0034] The basic sewage treatment strategy is compensated according to the compensation coefficient to obtain the initial sewage treatment strategy.

[0035] Furthermore, when determining whether to adjust the initial sewage treatment strategy based on the sewage image data, it includes:

[0036] Performing feature extraction on the sewage image data to obtain color feature values, surface foam density feature values, and particle distribution feature values;

[0037] Determining whether the sewage to be treated is in an abnormal state according to the color characteristic value, the surface foam density characteristic value, and the particle distribution characteristic value;

[0038] If an abnormal state exists, it is determined that the initial sewage treatment strategy should be adjusted;

[0039] Otherwise, it is determined that the initial sewage treatment strategy is not to be adjusted.

[0040] Furthermore, when judging whether the sewage to be treated is in an abnormal state according to the color characteristic value, the surface foam density characteristic value and the particle distribution characteristic value, the method includes:

[0041] Comparing the color characteristic value, surface foam density characteristic value, and particle distribution characteristic value with normal color characteristic value, normal surface foam density, and normal particle distribution value, respectively;

[0042] If the color characteristic value is greater than or equal to the normal color characteristic value, or the surface foam density characteristic value is greater than or equal to the normal surface foam density, or the particle distribution characteristic value is greater than or equal to the normal particle distribution value, it is determined that the sewage to be treated is in an abnormal state;

[0043] Otherwise, it is determined that the sewage to be treated does not have an abnormal state.

[0044] Furthermore, determining the adjustment coefficient of the initial sewage treatment strategy based on the sewage image data and obtaining the final sewage treatment strategy includes:

[0045] The difference between the color characteristic value and the normal color characteristic value is calculated, recorded as the color difference; the difference between the surface foam density characteristic value and the normal surface foam density is calculated, recorded as the foam density difference; the difference between the particle distribution characteristic value and the normal particle distribution value is calculated, recorded as the particle difference;

[0046] determining a sewage image deviation of the sewage to be treated according to the color difference, the foam density difference, and the particle difference;

[0047] Comparing the sewage image deviation with a first sewage image deviation and a second sewage image deviation, and determining an adjustment coefficient of the initial sewage treatment strategy according to the comparison results; wherein the first sewage image deviation is less than the second sewage image deviation;

[0048] When the sewage image deviation is less than the first sewage image deviation, determining the adjustment coefficient to be the first adjustment coefficient;

[0049] When the sewage image deviation is greater than or equal to the first sewage image deviation and less than the second sewage image deviation, determining the adjustment coefficient to be a second adjustment coefficient;

[0050] When the sewage image deviation is greater than or equal to the second sewage image deviation, determining the adjustment coefficient to be a third adjustment coefficient;

[0051] The initial sewage treatment strategy is adjusted according to the adjustment coefficient to obtain the final sewage treatment strategy.

[0052] Compared with existing technologies, the present invention offers the following advantages: the papermaking wastewater treatment system provided by the present invention can intelligently formulate and adjust wastewater treatment strategies based on the water quality parameters and wastewater image data of the actual wastewater entering the wastewater treatment device, thereby improving wastewater treatment efficiency and reducing treatment costs. Through the collaborative operation of the strategy formulation module, judgment module, and processing module, the system achieves refined control over wastewater treatment, ensuring that treated water quality meets discharge standards. Furthermore, the system boasts a high degree of automation, reducing manual intervention and improving treatment efficiency.

[0053] In another aspect, the present invention further provides a method for treating wastewater for papermaking, comprising the following steps:

[0054] Collecting water quality parameters of the sewage to be treated entering the sewage treatment device, and determining an initial sewage treatment strategy for the sewage to be treated based on the water quality parameters; wherein the sewage treatment strategy includes an initial sewage stirring speed, an initial sewage stirring time, and an initial dosage;

[0055] collecting sewage image data of the sewage to be treated, and determining whether to adjust the initial sewage treatment strategy based on the sewage image data;

[0056] When it is determined that the initial sewage treatment strategy is to be adjusted, an adjustment coefficient of the initial sewage treatment strategy is determined according to the sewage image data, and a final sewage treatment strategy is obtained.

[0057] It is understandable that the above-mentioned sewage treatment system and method for papermaking have the same beneficial effects, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0059] Figure 1 A structural block diagram of a wastewater treatment system for papermaking provided by an embodiment of the present invention;

[0060] Figure 2 This is a flow chart of a wastewater treatment method for papermaking provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0061] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, unless there is a conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

[0062] See Figure 1 As shown, in some embodiments of the present application, this embodiment provides a sewage treatment system for papermaking, comprising:

[0063] A sewage treatment device and a control device, wherein the sewage treatment device is connected to the control device, and the control device includes a strategy formulation module, a judgment module and a processing module;

[0064] The strategy formulation module is configured to collect water quality parameters of the untreated sewage entering the sewage treatment device and determine an initial sewage treatment strategy for the untreated sewage based on the water quality parameters; wherein the sewage treatment strategy includes an initial sewage stirring speed, an initial sewage stirring time, and an initial dosage;

[0065] The judgment module is configured to collect sewage image data of the sewage to be treated, and judge whether to adjust the initial sewage treatment strategy according to the sewage image data;

[0066] The processing module is configured to, when it is determined that the initial sewage treatment strategy is to be adjusted, determine an adjustment coefficient of the initial sewage treatment strategy according to the sewage image data and obtain a final sewage treatment strategy.

[0067] In this embodiment, the initial dosage is different for different types of drugs. The drug is preferably a coagulant, such as polyaluminium chloride, aluminium sulfate or iron salts, which can effectively promote the coagulation and precipitation of suspended matter, colloidal matter and dissolved organic matter in sewage, thereby improving the sewage purification effect.

[0068] It is understood that the wastewater treatment system for papermaking provided in this embodiment can intelligently formulate and adjust wastewater treatment strategies based on the water quality parameters and wastewater image data of the actual wastewater entering the wastewater treatment device, thereby improving wastewater treatment efficiency and reducing treatment costs. Through the coordinated operation of the strategy formulation module, judgment module, and processing module, the system can achieve refined control of wastewater treatment, ensuring that the treated water quality meets discharge standards. In addition, the system also has a high degree of automation, which can reduce manual intervention and improve treatment efficiency.

[0069] Specifically, when determining the initial sewage treatment strategy for the sewage to be treated according to the water quality parameters, it includes:

[0070] Analyzing the water quality parameters to obtain the suspended solids concentration, conductivity, pH value and organic pollutant content of the wastewater to be treated;

[0071] Determining a basic sewage treatment strategy for the sewage to be treated according to the suspended solids concentration;

[0072] determining whether to compensate for the basic sewage treatment strategy according to the conductivity;

[0073] If so, the compensation coefficient of the basic sewage strategy is determined according to the conductivity, pH value and organic pollutant content, and the initial sewage treatment strategy is determined.

[0074] Understandably, the system can flexibly adjust its treatment strategy based on the specific water quality of the wastewater being treated. For example, when suspended solids concentrations are high, the system might increase the stirring speed and duration to promote sedimentation; whereas, when organic pollutant levels exceed standards, the system will increase the dosage to accelerate the decomposition of organic matter. This refined adjustment based on water quality parameters not only improves the targeted nature of wastewater treatment but also effectively avoids waste of resources.

[0075] Specifically, when determining the basic sewage treatment strategy for the sewage to be treated according to the suspended solids concentration, it includes:

[0076] comparing the suspended solids concentration with a first suspended solids concentration and a second suspended solids concentration, and determining the basic sewage treatment strategy according to the comparison result; wherein the first suspended solids concentration is less than the second suspended solids concentration;

[0077] When the suspended solids concentration is less than or equal to the first suspended solids concentration, determining the basic sewage treatment strategy to be the first sewage treatment strategy;

[0078] When the suspended solids concentration is greater than the first suspended solids concentration and less than or equal to the second suspended solids concentration, determining the sewage treatment strategy to be the second sewage treatment strategy;

[0079] When the suspended solids concentration is greater than the second suspended solids concentration, the sewage treatment strategy is determined to be the second sewage treatment strategy.

[0080] It's understandable that by setting different suspended solids concentration thresholds, the system can adopt appropriate treatment strategies for different levels of suspended solids pollution. For example, when the suspended solids concentration is low, the more moderate first sewage treatment strategy is adopted, which can effectively remove suspended solids while saving treatment resources. When the suspended solids concentration is high, the more aggressive second sewage treatment strategy is switched to ensure that the suspended solids are fully treated and avoid burdening subsequent treatment links. This hierarchical treatment approach not only improves the flexibility of the system, but also further enhances the stability and efficiency of sewage treatment.

[0081] Specifically, when determining whether to compensate for the basic sewage treatment strategy based on the conductivity, it includes:

[0082] Comparing the conductivity with a conductivity threshold, and determining whether to compensate for the basic sewage treatment strategy based on the comparison result;

[0083] When the conductivity is greater than or equal to the conductivity threshold, determining to compensate the basic sewage treatment strategy;

[0084] Otherwise, it is determined that no compensation is to be made to the basic sewage treatment strategy.

[0085] It is understandable that conductivity, as an important indicator of water quality, reflects the content of dissolved salts and ions in water. When the conductivity is high, it means that there are more salts or ions dissolved in the water, which may affect the effect of sewage treatment. Therefore, the system will make appropriate compensation for the basic sewage treatment strategy according to the size of the conductivity to ensure that the treated water quality meets the standards. For example, when the conductivity exceeds the set threshold, the system may increase the stirring speed or dosage to improve the sewage treatment efficiency. This compensation adjustment based on conductivity enables the system to respond more flexibly to different water quality conditions and ensure the stability and reliability of sewage treatment.

[0086] Specifically, determining the compensation coefficient of the basic sewage strategy according to the conductivity, pH value and organic pollutant content, and determining the initial sewage treatment strategy includes:

[0087] constructing a sewage compensation group according to the conductivity, pH value and organic pollutant content;

[0088] Comparing the sewage compensation group with the historical compensation group, and determining the compensation coefficient of the basic sewage strategy according to the comparison result;

[0089] When there is a historical sewage compensation group that is the same as the sewage compensation group in the historical compensation group, the historical compensation coefficient corresponding to the historical sewage compensation group is used as the compensation coefficient;

[0090] When there is no historical sewage compensation group identical to the sewage compensation group in the historical compensation group, the correlation between the current sewage compensation group and each of the historical sewage compensation groups is calculated one by one, and the maximum correlation is extracted, and the compensation coefficient is determined according to the maximum correlation.

[0091] It is understandable that by constructing a sewage compensation group and comparing it with the historical compensation group, the system can more accurately determine the compensation coefficient, thereby achieving fine-tuning of the sewage treatment strategy. This intelligent compensation method based on historical data not only improves the accuracy of sewage treatment, but also helps the system to continuously learn and optimize to adapt to more complex water quality conditions. In addition, when there is no historical record in the historical compensation group that is exactly the same as the current sewage compensation group, the system determines the compensation coefficient by calculating the correlation. This practice reflects the flexibility and adaptability of the system. The calculation of the correlation takes into account the combined influence of multiple water quality parameters, ensuring the accuracy and rationality of the compensation coefficient. This refined compensation adjustment strategy enables the sewage treatment system of this application to maintain a stable treatment effect under different water quality conditions, while maximizing the savings in processing resources.

[0092] In this embodiment, the correlation is determined by calculating the Euclidean distance between the current sewage compensation group and the historical sewage compensation group. The smaller the Euclidean distance, the higher the similarity between the two groups of data, that is, the greater the correlation.

[0093] Specifically, determining the compensation coefficient according to the maximum correlation degree includes:

[0094] Comparing the maximum degree of association with a first maximum degree of association and a second maximum degree of association, and determining the compensation coefficient according to the comparison result; wherein the first maximum degree of association is smaller than the second maximum degree of association;

[0095] When the maximum degree of association is less than the first maximum degree of association, determining the compensation coefficient to be a first compensation coefficient;

[0096] When the maximum degree of association is greater than or equal to the first maximum degree of association and less than the second maximum degree of association, determining the compensation coefficient to be a second compensation coefficient;

[0097] When the maximum degree of association is greater than or equal to the second maximum degree of association, determining the compensation coefficient to be a third compensation coefficient;

[0098] The basic sewage treatment strategy is compensated according to the compensation coefficient to obtain the initial sewage treatment strategy.

[0099] It's understandable that the compensation coefficient is actually a set of compensation coefficients, specifically expressed as (speed compensation coefficient, time compensation coefficient, dosage compensation coefficient). The preferred values ​​for the first compensation coefficient are (0.8, 0.8, 0.8), the second compensation coefficient is (1.05, 1.05, 1.05), and the third compensation coefficient is (1.2, 1.2, 1.2). By setting different compensation coefficients, the system can more precisely adjust the sewage treatment requirements under different water quality conditions. For example, in cases of poor water quality, the system may select a larger compensation coefficient to increase the stirring speed, stirring time, and dosage to ensure adequate sewage treatment. In cases of good water quality, the system may select a smaller compensation coefficient to conserve treatment resources. This method of determining compensation coefficients based on the maximum correlation not only improves the targeted and accurate treatment of sewage, but also helps the system maintain stable treatment results under different water quality conditions. When performing compensation, the base sewage stirring speed, base sewage stirring time, and base dosage are multiplied by the corresponding speed compensation coefficient, time compensation coefficient, and dosage compensation coefficient, respectively, to obtain the initial sewage treatment strategy.

[0100] Specifically, determining whether to adjust the initial sewage treatment strategy according to the sewage image data includes:

[0101] Performing feature extraction on the sewage image data to obtain color feature values, surface foam density feature values, and particle distribution feature values;

[0102] Determining whether the sewage to be treated is in an abnormal state according to the color characteristic value, the surface foam density characteristic value, and the particle distribution characteristic value;

[0103] If an abnormal state exists, it is determined that the initial sewage treatment strategy should be adjusted;

[0104] Otherwise, it is determined that the initial sewage treatment strategy is not to be adjusted.

[0105] In an embodiment, the color characteristic value is preferably the RGB value or HSV value of the sewage color, the surface foam density characteristic value is preferably the ratio of the area covered by the foam to the total area of ​​the image, and the particle distribution characteristic value is preferably the number, size or distribution uniformity of the particles in the image.

[0106] It's understandable that by extracting features from sewage image data, the system can capture key information such as sewage color, surface foam density, and particle distribution. This information is crucial for determining whether the sewage is in an abnormal state. For example, if the sewage color is unusually dark or light, the surface foam density is too high, or the particle distribution is uneven, it may indicate that the sewage is in an abnormal state and require adjustment to the treatment strategy. This intelligent judgment method based on image data not only improves the system's ability to identify sewage conditions, but also helps the system promptly identify problems and take appropriate measures to ensure the continuity and stability of sewage treatment.

[0107] Specifically, judging whether the sewage to be treated is in an abnormal state according to the color characteristic value, the surface foam density characteristic value, and the particle distribution characteristic value includes:

[0108] Comparing the color characteristic value, surface foam density characteristic value, and particle distribution characteristic value with normal color characteristic value, normal surface foam density, and normal particle distribution value, respectively;

[0109] If the color characteristic value is greater than or equal to the normal color characteristic value, or the surface foam density characteristic value is greater than or equal to the normal surface foam density, or the particle distribution characteristic value is greater than or equal to the normal particle distribution value, it is determined that the sewage to be treated is in an abnormal state;

[0110] Otherwise, it is determined that the sewage to be treated does not have an abnormal state.

[0111] It's clear that by comparing the measured color, surface foam density, and particle distribution characteristics with preset normal values, the system can quickly and accurately determine whether the wastewater is abnormal. This comparison method, based on clearly defined thresholds, ensures objectivity and accuracy. Once the system detects an abnormality in the wastewater, it immediately triggers an adjustment mechanism to adjust the initial wastewater treatment strategy accordingly. This rapid response and adjustment capability enables the system to promptly respond to emergencies in the wastewater, ensuring the continuity and effectiveness of wastewater treatment.

[0112] Specifically, determining the adjustment coefficient of the initial sewage treatment strategy according to the sewage image data and obtaining the final sewage treatment strategy includes:

[0113] The difference between the color characteristic value and the normal color characteristic value is calculated, recorded as the color difference; the difference between the surface foam density characteristic value and the normal surface foam density is calculated, recorded as the foam density difference; the difference between the particle distribution characteristic value and the normal particle distribution value is calculated, recorded as the particle difference;

[0114] determining a sewage image deviation of the sewage to be treated according to the color difference, the foam density difference, and the particle difference;

[0115] Comparing the sewage image deviation with a first sewage image deviation and a second sewage image deviation, and determining an adjustment coefficient of the initial sewage treatment strategy according to the comparison results; wherein the first sewage image deviation is less than the second sewage image deviation;

[0116] When the sewage image deviation is less than the first sewage image deviation, determining the adjustment coefficient to be the first adjustment coefficient;

[0117] When the sewage image deviation is greater than or equal to the first sewage image deviation and less than the second sewage image deviation, determining the adjustment coefficient to be a second adjustment coefficient;

[0118] When the sewage image deviation is greater than or equal to the second sewage image deviation, determining the adjustment coefficient to be a third adjustment coefficient;

[0119] The initial sewage treatment strategy is adjusted according to the adjustment coefficient to obtain the final sewage treatment strategy.

[0120] It can be understood that the image deviation is obtained by weighted calculation of the color difference, foam density difference and particle difference.

[0121] It is understandable that the first adjustment coefficient is preferably (0.95, 0.95, 0.95), the second adjustment coefficient is preferably (1.05, 1.05, 1.05), and the third adjustment coefficient is preferably (1.1, 1.1, 1.1). The setting of the adjustment coefficient is intended to fine-tune the initial sewage treatment strategy according to the degree of deviation of the sewage image data. When the deviation shown by the sewage image data is small, it means that the sewage state is closer to normal. At this time, the system selects a smaller adjustment coefficient to maintain the continuity and stability of the treatment. When the deviation shown by the sewage image data is large, it means that there may be a large abnormality in the sewage state. At this time, the system selects a larger adjustment coefficient to quickly adjust the treatment strategy to ensure that the sewage is effectively treated. This intelligent adjustment method based on image data not only improves the system's response speed to the sewage state, but also helps the system maintain the best treatment effect under different water quality conditions.

[0122] See Figure 2 As shown, in some embodiments of the present application, this embodiment provides a wastewater treatment method for papermaking, comprising the following steps:

[0123] S100: collecting water quality parameters of the sewage to be treated entering the sewage treatment device, and determining an initial sewage treatment strategy for the sewage to be treated based on the water quality parameters; wherein the sewage treatment strategy includes an initial sewage stirring speed, an initial sewage stirring time, and an initial dosage;

[0124] S200: collecting sewage image data of the sewage to be treated, and determining whether to adjust the initial sewage treatment strategy according to the sewage image data;

[0125] S300: When it is determined that the initial sewage treatment strategy is to be adjusted, an adjustment coefficient of the initial sewage treatment strategy is determined according to the sewage image data, and a final sewage treatment strategy is obtained.

[0126] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0127] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0128] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0130] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A sewage treatment system for papermaking, characterized in that: include: A sewage treatment device and a control device, wherein the sewage treatment device is connected to the control device, and the control device includes a strategy formulation module, a judgment module and a processing module; The strategy formulation module is configured to collect water quality parameters of the untreated sewage entering the sewage treatment device and determine an initial sewage treatment strategy for the untreated sewage based on the water quality parameters; wherein the sewage treatment strategy includes an initial sewage stirring speed, an initial sewage stirring time, and an initial dosage; The judgment module is configured to collect sewage image data of the sewage to be treated, and judge whether to adjust the initial sewage treatment strategy according to the sewage image data; The processing module is configured to, when it is determined that the initial sewage treatment strategy is to be adjusted, determine an adjustment coefficient of the initial sewage treatment strategy according to the sewage image data and obtain a final sewage treatment strategy.

2. The wastewater treatment system for papermaking according to claim 1, characterized in that: When determining the initial sewage treatment strategy for the sewage to be treated according to the water quality parameters, the method includes: Analyzing the water quality parameters to obtain the suspended solids concentration, conductivity, pH value and organic pollutant content of the wastewater to be treated; Determining a basic sewage treatment strategy for the sewage to be treated according to the suspended solids concentration; determining whether to compensate for the basic sewage treatment strategy according to the conductivity; If so, the compensation coefficient of the basic sewage strategy is determined according to the conductivity, pH value and organic pollutant content, and the initial sewage treatment strategy is determined.

3. The wastewater treatment system for papermaking according to claim 2, characterized in that: When determining the basic sewage treatment strategy for the sewage to be treated according to the suspended solids concentration, the strategy includes: comparing the suspended solids concentration with a first suspended solids concentration and a second suspended solids concentration, and determining the basic sewage treatment strategy according to the comparison result; wherein the first suspended solids concentration is less than the second suspended solids concentration; When the suspended solids concentration is less than or equal to the first suspended solids concentration, determining the basic sewage treatment strategy to be the first sewage treatment strategy; When the suspended solids concentration is greater than the first suspended solids concentration and less than or equal to the second suspended solids concentration, determining the sewage treatment strategy to be the second sewage treatment strategy; When the suspended solids concentration is greater than the second suspended solids concentration, the sewage treatment strategy is determined to be the second sewage treatment strategy.

4. The wastewater treatment system for papermaking according to claim 3, characterized in that: When determining whether to compensate for the basic sewage treatment strategy according to the conductivity, it includes: Comparing the conductivity with a conductivity threshold, and determining whether to compensate for the basic sewage treatment strategy based on the comparison result; When the conductivity is greater than or equal to the conductivity threshold, determining to compensate the basic sewage treatment strategy; Otherwise, it is determined that no compensation is to be made to the basic sewage treatment strategy.

5. The wastewater treatment system for papermaking according to claim 4, characterized in that: Determining the compensation coefficient of the basic sewage strategy based on the conductivity, pH value and organic pollutant content, and determining the initial sewage treatment strategy, includes: constructing a sewage compensation group according to the conductivity, pH value and organic pollutant content; Comparing the sewage compensation group with the historical compensation group, and determining the compensation coefficient of the basic sewage strategy according to the comparison result; When there is a historical sewage compensation group that is the same as the sewage compensation group in the historical compensation group, the historical compensation coefficient corresponding to the historical sewage compensation group is used as the compensation coefficient; When there is no historical sewage compensation group identical to the sewage compensation group in the historical compensation group, the correlation between the current sewage compensation group and each of the historical sewage compensation groups is calculated one by one, and the maximum correlation is extracted, and the compensation coefficient is determined according to the maximum correlation.

6. The wastewater treatment system for papermaking according to claim 5, characterized in that: Determining the compensation coefficient according to the maximum correlation degree includes: Comparing the maximum degree of association with a first maximum degree of association and a second maximum degree of association, and determining the compensation coefficient according to the comparison result; wherein the first maximum degree of association is smaller than the second maximum degree of association; When the maximum degree of association is less than the first maximum degree of association, determining the compensation coefficient to be a first compensation coefficient; When the maximum degree of association is greater than or equal to the first maximum degree of association and less than the second maximum degree of association, determining the compensation coefficient to be a second compensation coefficient; When the maximum degree of association is greater than or equal to the second maximum degree of association, determining the compensation coefficient to be a third compensation coefficient; The basic sewage treatment strategy is compensated according to the compensation coefficient to obtain the initial sewage treatment strategy.

7. The wastewater treatment system for papermaking according to claim 6, characterized in that: When determining whether to adjust the initial sewage treatment strategy according to the sewage image data, the method includes: Performing feature extraction on the sewage image data to obtain color feature values, surface foam density feature values, and particle distribution feature values; Determining whether the sewage to be treated is in an abnormal state according to the color characteristic value, the surface foam density characteristic value, and the particle distribution characteristic value; If an abnormal state exists, it is determined that the initial sewage treatment strategy should be adjusted; Otherwise, it is determined that the initial sewage treatment strategy is not to be adjusted.

8. The wastewater treatment system for papermaking according to claim 7, characterized in that: When judging whether the sewage to be treated is in an abnormal state according to the color characteristic value, the surface foam density characteristic value and the particle distribution characteristic value, the method includes: Comparing the color characteristic value, surface foam density characteristic value, and particle distribution characteristic value with normal color characteristic value, normal surface foam density, and normal particle distribution value, respectively; If the color characteristic value is greater than or equal to the normal color characteristic value, or the surface foam density characteristic value is greater than or equal to the normal surface foam density, or the particle distribution characteristic value is greater than or equal to the normal particle distribution value, it is determined that the sewage to be treated is in an abnormal state; Otherwise, it is determined that the sewage to be treated does not have an abnormal state.

9. The wastewater treatment system for papermaking according to claim 8, characterized in that: Determining the adjustment coefficient of the initial sewage treatment strategy according to the sewage image data and obtaining the final sewage treatment strategy includes: The difference between the color characteristic value and the normal color characteristic value is calculated, recorded as the color difference; the difference between the surface foam density characteristic value and the normal surface foam density is calculated, recorded as the foam density difference; the difference between the particle distribution characteristic value and the normal particle distribution value is calculated, recorded as the particle difference; determining a sewage image deviation of the sewage to be treated according to the color difference, the foam density difference, and the particle difference; Comparing the sewage image deviation with a first sewage image deviation and a second sewage image deviation, and determining an adjustment coefficient of the initial sewage treatment strategy according to the comparison results; wherein the first sewage image deviation is less than the second sewage image deviation; When the sewage image deviation is less than the first sewage image deviation, determining the adjustment coefficient to be the first adjustment coefficient; When the sewage image deviation is greater than or equal to the first sewage image deviation and less than the second sewage image deviation, determining the adjustment coefficient to be a second adjustment coefficient; When the sewage image deviation is greater than or equal to the second sewage image deviation, determining the adjustment coefficient to be a third adjustment coefficient; The initial sewage treatment strategy is adjusted according to the adjustment coefficient to obtain the final sewage treatment strategy.

10. A method for treating wastewater used in papermaking, applied to the wastewater treatment system used in papermaking according to any one of claims 1 to 9, characterized in that: include: Collecting water quality parameters of the sewage to be treated entering the sewage treatment device, and determining an initial sewage treatment strategy for the sewage to be treated based on the water quality parameters; wherein the sewage treatment strategy includes an initial sewage stirring speed, an initial sewage stirring time, and an initial dosage; collecting sewage image data of the sewage to be treated, and determining whether to adjust the initial sewage treatment strategy based on the sewage image data; When it is determined that the initial sewage treatment strategy is to be adjusted, an adjustment coefficient of the initial sewage treatment strategy is determined according to the sewage image data, and a final sewage treatment strategy is obtained.

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