An intelligent operation management method and system of a water plant ultrafiltration membrane tank and a storage medium

Abstract

The application relates to the technical field of sewage treatment, in particular to an intelligent operation management method and system of a water plant ultrafiltration membrane tank and a storage medium, the method comprises the following steps: acquiring membrane tank operation parameters, and performing multiple regression analysis on the membrane tank operation parameters to determine the transmembrane pressure difference corresponding to the membrane tank operation parameters; the membrane tank operation parameters comprise water inlet quality, water outlet quality, water temperature and filtration pressure; when the transmembrane pressure difference is higher than a preset standard pressure difference, it is judged whether the current time is located in a preset emptying period; if yes, a cleaning operation is performed based on the membrane tank operation parameters; if no, a transmembrane pressure difference growth value in a first preset time period is acquired, and an intervention type is determined based on the transmembrane pressure difference growth value; the intervention type comprises preventive intervention and instant intervention. The application facilitates the balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring that the water treatment process continuously operates efficiently and stably.

Description

Technical Field

[0001] This application relates to the field of wastewater treatment technology, and in particular to an intelligent operation and management method, system and storage medium for an ultrafiltration membrane tank in a water plant. Background Technology

[0002] Membrane technology, especially ultrafiltration membrane technology, plays a crucial role in the water treatment field in the 21st century. The working principle of ultrafiltration membranes mainly relies on their selective filtration capability based on pore size. The pore size of ultrafiltration membranes is usually between that of microfiltration and nanofiltration, which can effectively intercept suspended solids, colloids, bacteria, viruses and some large organic molecules in the solution. Therefore, it is widely used in the field of water treatment.

[0003] Due to the retention capacity of the membrane pores, ultrafiltration membranes can retain contaminants larger than their pore size in the solution. These retained contaminants may accumulate on the membrane surface through physical processes. Prolonged contaminant accumulation can lead to a decline in ultrafiltration membrane performance. In such cases, cleaning the ultrafiltration membrane can remove the contaminants adhering to its surface. However, the cleaning process may involve multiple steps such as draining the membrane tank, backwashing, and chemical washing. Frequent cleaning may reduce water treatment efficiency, and repeated cleaning may damage the ultrafiltration membrane, affecting its long-term stability and reliability. Therefore, finding a balance between ultrafiltration membrane cleaning and maintenance—ensuring stable membrane performance while avoiding the negative effects of over-cleaning—is crucial for ensuring the efficient and stable operation of the water treatment process. Summary of the Invention

[0004] To facilitate a better balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring the continuous, efficient, and stable operation of the water treatment process, this application provides an intelligent operation management method, system, and storage medium for ultrafiltration membrane tanks in water plants.

[0005] Firstly, this application provides an intelligent operation and management method for an ultrafiltration membrane tank in a water plant, employing the following technical solution:

[0006] A method for intelligent operation and management of ultrafiltration membrane tanks in water plants includes:

[0007] The membrane tank operating parameters are obtained, and a multivariate regression analysis is performed on the membrane tank operating parameters to determine the transmembrane pressure difference corresponding to the membrane tank operating parameters. The membrane tank operating parameters include influent water quality, effluent water quality, water temperature, and filtration pressure.

[0008] When the transmembrane pressure difference is higher than the preset standard pressure difference, it is determined whether the current moment is within the preset venting cycle;

[0009] If so, then a cleaning operation will be performed based on the membrane tank operating parameters;

[0010] If not, the transmembrane pressure difference growth value within the first preset time period is obtained, and the response intervention type is determined based on the transmembrane pressure difference growth value. The response intervention type includes preventive intervention and immediate intervention.

[0011] By adopting the above technical solution, and by acquiring membrane tank operating parameters in real time and determining the transmembrane pressure difference through multivariate regression analysis, it is convenient to monitor and predict ultrafiltration membrane performance in real time. This improves the accuracy and timeliness of identifying ultrafiltration membrane surface fouling. When the transmembrane pressure difference is large, the cleaning operation is not directly initiated. Instead, a drainage cycle is set to avoid the reduction in water treatment efficiency and damage to the ultrafiltration membrane caused by frequent cleaning. If the current time is not within the drainage cycle, different types of intervention operations can be performed on the ultrafiltration membrane by analyzing the increase of the transmembrane pressure difference over a preset time period. When the ultrafiltration membrane surface fouling is light, operations can be performed to slow down surface adhesion to prevent further deterioration of ultrafiltration membrane fouling. When the ultrafiltration membrane surface fouling is deep, immediate intervention can be carried out to ensure the stability of ultrafiltration membrane performance. This flexible response strategy facilitates the improvement of the balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring the continuous, efficient, and stable operation of the water treatment process.

[0012] In one possible implementation, when the intervention type is a preventative intervention, it further includes:

[0013] Based on the membrane tank operating parameters, determine the filtration operation simulation model corresponding to the ultrafiltration membrane tank to be managed;

[0014] Based on the filtration operation simulation model, the filtration focus membrane area and the corresponding first region contamination parameters are determined. The transmembrane pressure difference of the region corresponding to the filtration focus membrane area is higher than the preset standard region pressure difference.

[0015] Based on the evacuation interval between the current time and the preset evacuation cycle and the pollution parameters of the first area, a preventive intervention instruction is determined, and a targeted intervention is performed on the filter membrane area of ​​concern based on the preventive intervention instruction. The preventive intervention instruction includes a filter flow rate adjustment value and an ultrafiltration membrane movement amplitude adjustment value.

[0016] By adopting the above technical solution and constructing a filtration operation simulation model, it is easy to accurately simulate the actual working state of the ultrafiltration membrane pool. It can also accurately locate the filtration membrane area with more severe pollution. By directional intervention in the filtration membrane area, unnecessary comprehensive cleaning of the entire membrane pool can be avoided. This targeted cleaning strategy helps to reduce the cleaning frequency and cost of the ultrafiltration membrane, while also helping to maintain the overall stability of the ultrafiltration membrane pool.

[0017] In one possible implementation, the cleaning operation based on the membrane tank operating parameters includes:

[0018] When it is detected that the current time is within the preset evacuation cycle, an evacuation command is generated. The evacuation command is used to evacuate the ultrafiltration membrane tank under management.

[0019] Obtain the venting parameters and determine the membrane fouling level based on the venting parameters and the membrane tank operating parameters. The venting parameters include wastewater color and venting flow rate.

[0020] A cleaning instruction is determined based on the membrane fouling level, and a cleaning operation is performed on the ultrafiltration membrane tank to be managed based on the cleaning instruction. The cleaning instruction includes cleaning flow rate, cleaning duration, and cleaning pressure.

[0021] By adopting the above technical solution, the membrane fouling level is comprehensively assessed by analyzing the venting parameters collected during the venting process and the membrane tank operating parameters. This method is more accurate than judging by a single parameter and can more comprehensively reflect the fouling status of the ultrafiltration membrane surface. The cleaning parameters determined according to the membrane fouling level facilitate personalized cleaning for different degrees of fouling, ensuring cleaning effectiveness while saving water and energy consumption. In addition, the use of automated and intelligent methods to manage the ultrafiltration membrane tank reduces the possibility of manual intervention and misjudgment, thereby improving the efficiency and accuracy of the cleaning process.

[0022] In one possible implementation, the method further includes:

[0023] Obtain cleaning parameters and determine a cleaning operation simulation model corresponding to the ultrafiltration membrane tank to be managed based on the cleaning parameters. The cleaning parameters are generated when the ultrafiltration membrane tank to be managed is cleaned based on the cleaning command.

[0024] Based on the cleaning operation simulation model, the cleaning concern membrane area and the corresponding second region contamination parameters are determined, wherein the cleaning concern membrane area includes preset contamination characteristics.

[0025] Identify the cleaning anomaly locations in the cleaning operation simulation model for the area of ​​concern for cleaning, and determine the backwash fluid flow direction based on the cleaning anomaly locations;

[0026] The composition of the backwash solution is determined based on the preset contamination characteristics and the contamination parameters of the second area.

[0027] The vibration frequency of the ultrafiltration membrane of concern for cleaning is determined based on the membrane fouling level, wherein the ultrafiltration membrane of concern for cleaning is an ultrafiltration membrane that includes the region of the membrane of concern for cleaning.

[0028] Based on the backwash fluid flow direction, the backwash fluid composition, and the vibration frequency, a directional cleaning command is generated, which is used to perform directional cleaning on the membrane area of ​​interest.

[0029] By adopting the above technical solutions and observing and analyzing the cleaning operation simulation model, it is easy to accurately determine the membrane areas of concern for cleaning. This allows the cleaning operation to be concentrated on these membrane areas that require the most cleaning, avoiding the waste of resources caused by comprehensive cleaning. Based on the fouling characteristics and fouling parameters of the membrane areas of concern, the composition of the backwash solution is customized to ensure that the backwash solution can effectively remove surface contaminants. At the same time, through precise backwash solution flow direction design, it is easy to ensure that the backwash solution can fully cover and clean the membrane areas of concern, thereby further improving the cleaning effect.

[0030] In one possible implementation, the method further includes:

[0031] Identify the location of contaminants corresponding to the area of ​​membrane of interest to be cleaned, and form a moving cleaning route based on the location of the contaminants;

[0032] Based on the mobile cleaning route and the directional cleaning command, the area of ​​the membrane of interest is cleaned by mobile directional cleaning, and real-time mobile cleaning parameters generated during the mobile directional cleaning process are collected.

[0033] The cleaning operation simulation model is updated based on the real-time mobile cleaning parameters, and the directional cleaning instructions corresponding to the next directional cleaning cycle are adjusted based on the updated cleaning operation simulation model.

[0034] By adopting the above technical solution, a moving cleaning route is generated based on the distribution location of contaminants corresponding to the area of ​​concern in the membrane. This ensures that each contaminant can be accurately targeted during the directional cleaning process, thereby improving the cleaning effect. In addition, directional cleaning based on the moving cleaning route facilitates real-time monitoring of the status and effect of the directional cleaning operation. If the directional cleaning effect is not good or an abnormality is found, the cleaning operation simulation model can be updated immediately based on the real-time moving cleaning parameters, and the directional cleaning command corresponding to the next directional cleaning cycle can be adjusted. This ability to monitor and adjust in real time enhances the flexibility and controllability of the directional cleaning operation.

[0035] In one possible implementation, the method further includes:

[0036] The cleaning cost of cleaning operations corresponding to each abnormal transmembrane pressure difference within a second preset time period is integrated, wherein the abnormal transmembrane pressure difference is higher than the preset standard pressure difference;

[0037] The target transmembrane pressure is determined from multiple transmembrane pressures based on the cleaning cost corresponding to each transmembrane pressure difference.

[0038] The preset standard pressure difference is adjusted based on the target transmembrane pressure difference.

[0039] By adopting the above technical solution and integrating the cleaning costs corresponding to various transmembrane pressure differences within a preset time period, it is easy to fully understand the economic cost of cleaning under different transmembrane pressure difference levels. This cost analysis helps relevant managers select the most cost-effective transmembrane pressure difference threshold, i.e., the target transmembrane pressure difference, while ensuring water quality safety. By adjusting the preset standard pressure difference through the target transmembrane pressure difference, it is easy to minimize cleaning costs while ensuring cleaning effect, thereby improving overall operational efficiency.

[0040] Secondly, this application provides a management system, which adopts the following technical solution:

[0041] A management system comprising:

[0042] At least one processor;

[0043] Memory;

[0044] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: execute the intelligent operation management method for the ultrafiltration membrane tank of the water plant described above.

[0045] Thirdly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0046] A computer-readable storage medium includes: a computer program storing a method for intelligent operation and management of an ultrafiltration membrane tank in a water plant that can be loaded by a processor and executed.

[0047] Fourthly, this application provides a computer program product, which adopts the following technical solution:

[0048] A computer program product includes a computer program that, when executed by a processor, implements the aforementioned intelligent operation and management method for ultrafiltration membrane tanks in water plants.

[0049] In summary, this application includes at least one of the following beneficial technical effects:

[0050] By acquiring real-time membrane tank operating parameters and performing multivariate regression analysis to determine the transmembrane pressure difference, it is possible to facilitate real-time monitoring and prediction of ultrafiltration membrane performance. This improves the accuracy and timeliness of identifying ultrafiltration membrane surface fouling. When the transmembrane pressure difference is large, cleaning is not initiated directly. Instead, a set evacuation cycle is used to avoid reducing water treatment efficiency and damaging the ultrafiltration membrane due to frequent cleaning. If the current time is not within the evacuation cycle, different types of intervention operations can be performed on the ultrafiltration membrane by analyzing the increase in transmembrane pressure difference over a preset time period. When the ultrafiltration membrane surface fouling is mild, operations can be performed to slow down surface adhesion to prevent further deterioration of ultrafiltration membrane fouling. When the ultrafiltration membrane surface fouling is severe, immediate intervention can be implemented to ensure the stability of ultrafiltration membrane performance. This flexible response strategy facilitates a better balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring the continuous, efficient, and stable operation of the water treatment process.

[0051] By observing and analyzing the cleaning operation simulation model, it is easy to accurately identify the membrane areas of concern for cleaning. This allows cleaning operations to be concentrated on these areas that require the most cleaning, avoiding the waste of resources caused by comprehensive cleaning. Based on the fouling characteristics and parameters of the membrane areas of concern, the composition of the backwash solution is customized to ensure that the backwash solution can effectively remove surface contaminants. At the same time, through precise backwash solution flow design, it is easy to ensure that the backwash solution can fully cover and clean the membrane areas of concern, thereby further improving the cleaning effect. Attached Figure Description

[0052] Figure 1 This is a flowchart illustrating an intelligent operation and management method for an ultrafiltration membrane tank in a water plant, as described in an embodiment of this application.

[0053] Figure 2 This is a schematic diagram of the process for determining a directional cleaning instruction in an embodiment of this application;

[0054] Figure 3 This is a schematic diagram of the structure of a management system according to an embodiment of this application. Detailed Implementation

[0055] The following is in conjunction with the appendix Figures 1 to 3 This application will be described in further detail.

[0056] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0057] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0058] It should be noted that, in the optional embodiments of this application, the data related to object information, when applied to specific products or technologies, requires the permission or consent of the object. Furthermore, the collection, use, and processing of this data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of this application involve data related to an object, it must be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If the embodiments involve personal information, the acquisition of all personal information requires the individual's consent. If sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0059] Specifically, this application provides an intelligent operation and management method for an ultrafiltration membrane tank in a water plant, executed by a management system. This management system can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and this application does not impose any limitations on this.

[0060] refer to Figure 1 , Figure 1 This is a flowchart illustrating an intelligent operation and management method for an ultrafiltration membrane tank in a water plant, as described in this application. The method includes steps S110-S140, wherein:

[0061] Step S110: Obtain the membrane tank operating parameters and perform multiple regression analysis on the membrane tank operating parameters to determine the transmembrane pressure difference corresponding to the membrane tank operating parameters. The membrane tank operating parameters include influent water quality, effluent water quality, water temperature, and filtration pressure.

[0062] Specifically, an ultrafiltration membrane is a polymeric semi-permeable membrane, typically consisting of two layers: an upper functional layer with a dense microporous structure and a pore size ranging from approximately 120 nanometers; and a lower support layer with a larger open-pore structure, primarily serving to enhance membrane strength. When wastewater or other aqueous solutions flow under pressure through the surface of the ultrafiltration membrane in the ultrafiltration tank, solvents and small-molecule solutes smaller than the membrane pores permeate through the pores to become purified liquid, while solutes and solute aggregates larger than the pores, such as polymers, colloids, particles, and bacteria, are retained and discharged with the water flow as concentrated liquid. The membrane tank operating parameters refer to the operating parameters of the ultrafiltration membrane tank during wastewater filtration, including but not limited to influent water quality, effluent water quality, water temperature, and filtration pressure.

[0063] The influent water quality refers to the quality of the wastewater or other aqueous solution to be treated. This data is collected by a water quality sensor installed on the outside of the ultrafiltration membrane in the ultrafiltration membrane tank and uploaded to the management system. Since suspended solids, colloids, and microorganisms in the influent water may adhere to the ultrafiltration membrane surface, potentially affecting its permeability, the influent water quality must be considered when determining the transmembrane pressure difference. The effluent water quality refers to the quality of the purified liquid. This data is collected by a water quality sensor installed on the inside of the ultrafiltration membrane and uploaded to the management system. The filtration effect can be analyzed based on the effluent water quality; that is, the effluent water quality reflects the degree of fouling on the ultrafiltration membrane surface. Poor effluent water quality may indicate that a large amount of pollutants have accumulated on the ultrafiltration membrane surface, resulting in the ineffective removal of impurities from the wastewater or other aqueous solution. The degree of fouling on the ultrafiltration membrane surface affects its permeability; therefore, the effluent water quality must be considered when determining the transmembrane pressure difference. The permeability of an ultrafiltration membrane is directly proportional to the temperature of the wastewater or other aqueous solution to be treated. At the same time, the permeability of an ultrafiltration membrane is also directly proportional to the filtration pressure. As the water temperature or filtration pressure increases, the speed of water molecule movement increases, and the frequency of molecule collisions with membrane pores also increases. The increased speed of movement and collision frequency helps water molecules pass through the membrane pores. Therefore, water temperature and flow rate pressure need to be considered when determining the transmembrane pressure difference of an ultrafiltration membrane.

[0064] In the analysis of membrane tank operating parameters, the transmembrane pressure difference can be used as the dependent variable, while influent water quality, effluent water quality, water temperature, and filtration pressure are used as independent variables in a multiple regression analysis. The main purpose of this analysis is to reveal the linear relationship between the independent variables (influent water quality, effluent water quality, water temperature, filtration pressure, etc.) and the transmembrane pressure difference, and to quantify the influence of these linear relationships on the transmembrane pressure difference. This avoids the limitations of single-factor analysis and provides a more comprehensive reflection of the impact of membrane tank operating parameters on the transmembrane pressure difference. The specific method for performing the multiple regression analysis on the membrane tank operating parameters is not specifically limited in this embodiment, as long as the transmembrane pressure difference corresponding to the operating parameters can be determined. The transmembrane pressure difference is inversely proportional to the permeability of the ultrafiltration membrane; the larger the transmembrane pressure difference, the worse the permeability of the ultrafiltration membrane surface.

[0065] Step S120: When the transmembrane pressure difference is higher than the preset standard pressure difference, determine whether the current time is within the preset venting cycle.

[0066] Specifically, when the transmembrane pressure difference is high, it means that the ultrafiltration membrane has increased resistance to water molecules, which may lead to a decrease in the production of purified liquid, and the decrease will be slow. If the ultrafiltration membrane is not cleaned in time, it may reduce the water treatment efficiency. In addition, a high transmembrane pressure difference usually means that there is pollution or blockage on the surface of the ultrafiltration membrane or inside the membrane pores. If it is not cleaned in time, it may also affect the water treatment effect. However, frequent cleaning operations not only consume a large amount of cleaning agents and water resources, but may also cause certain damage to the ultrafiltration membrane itself. During the cleaning process, the cleaning agent may have a certain corrosive or abrasive effect on the ultrafiltration membrane material, which may shorten the service life of the ultrafiltration membrane. In addition, the cleaning process of the ultrafiltration membrane also involves the consumption of resources such as cleaning agents, electricity, heat and water, which may involve consumption costs and consumable losses. Therefore, the ultrafiltration membrane is not cleaned immediately when a large transmembrane pressure difference is detected on the surface of the ultrafiltration membrane. Instead, it is necessary to first determine whether the current time is within the preset emptying cycle, that is, whether the current time can be directly cleaned. The preset emptying cycle can be determined by relevant personnel based on historical water treatment data and uploaded to the management system. The specific preset emptying cycle is not specifically limited in this embodiment of the application.

[0067] To ensure cleaning effectiveness, the ultrafiltration membrane tank is usually emptied before cleaning. This can be done via manual valves or automatic emptying. If the current time is within the preset emptying cycle, it means that the emptying process can be carried out immediately to prepare for subsequent cleaning. If the current time is not within the preset emptying cycle, it means that the emptying process will not be carried out immediately.

[0068] Step S130: If so, perform a cleaning operation based on the membrane tank operating parameters.

[0069] Specifically, when the current time falls within a preset emptying cycle, the specific cleaning method can be determined by analyzing the membrane tank operating parameters. This method may include: generating an emptying command when the current time is detected to be within the preset emptying cycle; obtaining emptying parameters and determining the membrane fouling level based on these parameters and the membrane tank operating parameters; determining a cleaning command based on the membrane fouling level and performing a cleaning operation on the ultrafiltration membrane tank based on the cleaning command; and specifying the cleaning flow rate, cleaning duration, and cleaning pressure.

[0070] Specifically, the drain command is used to remind relevant personnel or control the relevant drain control components to discharge water from the ultrafiltration membrane tank. During the draining process, drain parameters can be collected. Based on these parameters, the degree of fouling of the ultrafiltration membrane can be preliminarily determined. Specifically, an image acquisition device installed in the environment surrounding the ultrafiltration membrane tank can collect drainage images and upload them to the management system. After feature recognition of the drainage images, the color of the wastewater during the draining process can be determined, and the wastewater color reflects the degree of turbidity. A liquid flow sensor can be used to collect the draining flow rate during the draining process and upload it to the management system. Draining parameters include, but are not limited to, wastewater color and draining flow rate, and may also include the draining pH value, which can be set by relevant technical personnel according to actual needs.

[0071] A fouling level assessment model for the ultrafiltration membrane tank to be managed can be constructed based on historical venting parameters and historical membrane tank operating parameters. By importing the obtained venting parameters and membrane tank operating parameters into the fouling level assessment model, the membrane fouling level corresponding to the venting parameters and membrane tank operating parameters can be directly obtained. Membrane fouling levels can be divided into Level 1 fouling, Level 2 fouling, Level 3 fouling, etc. The cleaning instructions corresponding to different fouling levels are different. For example, Level 1 fouling corresponds to cleaning flow rate a1, cleaning duration a2, and cleaning pressure a3; Level 2 fouling corresponds to cleaning flow rate b1, cleaning duration b2, and cleaning pressure b3, where a1 is less than b1, a2 is less than b2, and a3 is less than b3. The content of the cleaning instructions corresponding to different fouling levels can be determined by relevant personnel based on historical experimental data and pre-entered into the management system. Specific content is not specifically limited in this embodiment. After determining the cleaning instructions, the cleaning components can be controlled to clean the ultrafiltration membrane tank based on the cleaning instructions. The cleaning components include, but are not limited to, cleaning pumps, cleaning pipes, and cleaning valves. Cleaning parameters determined based on membrane fouling levels facilitate personalized cleaning for different degrees of fouling, ensuring cleaning effectiveness while conserving water and energy.

[0072] Step S140: If not, obtain the transmembrane pressure difference growth value within the first preset time period, and determine the intervention type based on the transmembrane pressure difference growth value. The intervention type includes preventive intervention and immediate intervention.

[0073] Specifically, when the current time is not within the preset purging cycle, the growth of the transmembrane pressure difference can be analyzed within a first preset time period, and intervention can be provided based on the growth. The growth value of the transmembrane pressure difference can reflect the speed and degree of ultrafiltration membrane fouling or clogging. The growth value of the transmembrane pressure difference can be used to characterize the growth of the transmembrane pressure difference within the first preset time period. The first preset time period is a period of time after the moment when the transmembrane pressure difference is detected to be higher than the preset standard pressure difference. The duration of the first preset time period can be 15 minutes or 20 minutes, and the specific duration is not specifically limited in this embodiment. Different transmembrane pressure differential increases correspond to different intervention types. If the increase is lower than the preset value, it indicates a milder degree of ultrafiltration membrane fouling or clogging, and preventative interventions can be taken, such as reducing filtration pressure or increasing the movement of the ultrafiltration membrane, to slow down the process of fouling or clogging. If the increase is not lower than the preset value, it indicates a more severe degree of ultrafiltration membrane fouling or clogging, requiring immediate interventions, such as immediate cleaning or replacement of the membrane module, to restore the normal operation of the water treatment process.

[0074] In this embodiment, by acquiring the membrane tank operating parameters in real time and determining the transmembrane pressure difference through multivariate regression analysis, it is convenient to monitor and predict the performance of the ultrafiltration membrane in real time. This facilitates the improvement of the accuracy and timeliness of identifying ultrafiltration membrane surface fouling. When the transmembrane pressure difference is large, the cleaning operation is not directly initiated. Instead, a drainage cycle is set to avoid the reduction in water treatment efficiency and damage to the ultrafiltration membrane caused by frequent cleaning. If the current time is not within the drainage cycle, different types of intervention operations can be performed on the ultrafiltration membrane by analyzing the increase of the transmembrane pressure difference over a preset time period. When the ultrafiltration membrane surface fouling is light, operations to slow down surface adhesion can be performed to prevent further deterioration of ultrafiltration membrane fouling. When the ultrafiltration membrane surface fouling is deep, immediate intervention can be carried out to ensure the stability of ultrafiltration membrane performance. This flexible response strategy facilitates the improvement of the balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring the continuous, efficient, and stable operation of the water treatment process.

[0075] Furthermore, to reduce the cleaning frequency and cost of the ultrafiltration membrane, when the intervention type is preventative, the method provided in this application embodiment further includes:

[0076] Based on the membrane tank operating parameters, a filtration operation simulation model corresponding to the ultrafiltration membrane tank to be managed is determined. Based on the filtration operation simulation model, the filtration focus membrane area and the corresponding first area fouling parameters are determined. The intermembrane pressure difference of the filtration focus membrane area is higher than the preset standard area pressure difference. Based on the venting interval between the current time and the preset venting cycle and the first area fouling parameters, preventive intervention instructions are determined. Based on the preventive intervention instructions, targeted intervention is carried out on the filtration focus membrane area. The preventive intervention instructions include filtration flow rate adjustment value and ultrafiltration membrane movement amplitude adjustment value.

[0077] Specifically, the filtration simulation model corresponding to the ultrafiltration membrane tank to be managed can directly reflect the treatment process of the ultrafiltration membrane tank to be managed. The filtration simulation model can be built based on the basic membrane tank parameters of the ultrafiltration membrane tank to be managed. The basic membrane tank parameters can include ultrafiltration membrane material, ultrafiltration membrane model, number of ultrafiltration membranes, inlet water pressure, outlet water pressure, ultrafiltration membrane installation method, etc. The basic membrane tank parameters can be uploaded to the management system in advance by relevant personnel. Building the filtration simulation model based on the basic membrane tank parameters helps to improve the accuracy of the simulation process. After determining the filtration simulation model, the membrane tank operating parameters can be imported into the filtration simulation model. Then, a preset fluid dynamics software is used to simulate the flow of wastewater or other aqueous solutions in the ultrafiltration membrane tank. Different color depths are used to represent the pollution levels at different locations; the darker the color, the more severe the pollution at that location. By analyzing the simulated flow, it is easy to locate the membrane area of ​​interest. The pixel value of the area corresponding to the membrane area of ​​interest is higher than the pixel value of the preset standard area, that is, the transmembrane pressure difference of the area corresponding to the membrane area of ​​interest is higher than the pressure difference of the preset standard area. There is a correspondence between color depth and pollution level. Based on this correspondence, the display color depth of different pollution levels in the filtration simulation model can be determined. The specific content of this correspondence is not specifically limited in this embodiment, nor are the specific preset standard area pixel values ​​and preset standard area pressure differences.

[0078] After locating the filtration area of ​​interest, the corresponding first-area contamination parameters can be determined through a filtration operation simulation model. Alternatively, data acquisition points for the filtration area of ​​interest can be located within the ultrafiltration membrane tank to be managed. Relevant sensor data can then be collected from these data acquisition points to determine the first-area contamination parameters. The specific determination method is not limited in this embodiment. The first-area contamination parameters can be surface deposit characteristics, surface deposit concentration, etc. The specific content is not limited in this embodiment, as long as it reflects the degree of contamination in the filtration area of ​​interest. When conducting preventative intervention on the filtration area of ​​interest, in addition to considering the degree of contamination, it is also necessary to analyze the drainage interval between the current time and the preset drainage cycle. The greater the drainage interval, the stronger the preventative intervention. For example, if the drainage interval is 2 hours, the filtration flow rate adjustment value is c1, meaning the current filtration flow rate is reduced by c1; if the drainage interval is 0.5 hours, the filtration flow rate adjustment value is c2, meaning the current filtration flow rate is reduced by c2, where c1 is greater than c2.

[0079] After determining the discharge space isolation and the first area contamination parameters, an initial preventive intervention command can be determined based on the prevention mapping relationship and the first area contamination parameters. This initial preventive intervention command includes an initial filtration flow rate adjustment value and an initial ultrafiltration membrane movement amplitude adjustment value. Then, based on the multiple mapping relationship and the discharge space isolation, an initial growth multiple is determined. The initial filtration flow rate adjustment value and the initial ultrafiltration membrane movement amplitude adjustment value are amplified based on the initial growth multiple to obtain the final preventive intervention command. The prevention mapping relationship is the correspondence between the first area contamination parameters and the initial preventive intervention command, and the multiple mapping relationship is the correspondence between the discharge space isolation and the initial growth multiple. The specific content of each mapping relationship is not limited in this embodiment and can be determined by relevant personnel based on historical experimental data and uploaded to the management system. Based on the preventive intervention command, targeted intervention is performed on the filtration membrane area of ​​concern; that is, preventive intervention is performed only on the filtration membrane area of ​​concern, rather than preventing intervention on the entire ultrafiltration membrane when the transmembrane pressure difference is detected to be higher than the preset standard pressure difference. By selectively intervening in the filtration membrane area of ​​concern, unnecessary comprehensive cleaning of the entire membrane tank can be avoided. Since an ultrafiltration membrane pool may consist of multiple pools and multiple ultrafiltration membranes, by identifying the targeted intervention pool and targeted intervention ultrafiltration membrane corresponding to the area of ​​filtration interest in the ultrafiltration membrane pool, the filtration flow rate of the targeted intervention pool and the movement amplitude of the targeted intervention ultrafiltration membrane can be adjusted based on preventive intervention commands to achieve targeted preventive intervention.

[0080] Furthermore, to further improve the cleaning effect, the method provided in this application embodiment also includes steps S210-S260, such as... Figure 2 As shown, where:

[0081] Step S210: Obtain cleaning parameters and determine the cleaning operation simulation model corresponding to the ultrafiltration membrane tank to be managed based on the cleaning parameters. The cleaning parameters are generated when the ultrafiltration membrane tank to be managed is cleaned based on the cleaning command.

[0082] Specifically, the method for constructing the cleaning operation simulation model corresponding to the ultrafiltration membrane tank to be managed can refer to the method for constructing the filtration operation simulation model in the above embodiments, and will not be repeated here. The cleaning parameters are data generated when the ultrafiltration membrane tank to be managed is cleaned based on the cleaning command, and are used to reflect the cleaning effect. The cleaning operation simulation model allows for a direct view of the cleaning process of the ultrafiltration membrane tank.

[0083] Step S220: Based on the cleaning operation simulation model, determine the cleaning interest membrane area and the corresponding second area contamination parameters. The cleaning interest membrane area includes preset contamination characteristics.

[0084] Specifically, preset contamination features can be identified from the cleaning operation simulation model using a feature recognition algorithm. Membrane regions containing these preset contamination features are then designated as areas of interest for cleaning. The cleaning operation simulation model may contain one or more areas of interest; the specific number is not limited in this embodiment. Preset contamination features include preset contaminant accumulation, preset contaminant gloss, and preset contaminant shape, etc. Specific preset contaminant features are not specifically limited in this embodiment. The method for determining the second region contamination parameters corresponding to the areas of interest for cleaning can refer to the method for determining the first region contamination parameters corresponding to the filtration membrane areas of interest in the above embodiments, and will not be elaborated here. When preset contamination features appear in the ultrafiltration membrane, characterizing the cleaning process may be more difficult.

[0085] Step S230: Identify the cleaning anomaly locations in the cleaning operation simulation model for the area of ​​concern for cleaning the membrane, and determine the backwash fluid flow direction based on the cleaning anomaly locations.

[0086] Step S240: Determine the composition of the backwash solution based on preset contamination characteristics and contamination parameters of the second region.

[0087] Specifically, the cleaning anomaly location can be the center point of the area of ​​interest for cleaning the membrane, or any point within that area. The specific location is not specifically limited in this embodiment, as long as it is within the area of ​​interest. The backwash solution is the rinsing solution used in the cleaning stage. It can be a solution with added chemical reagents or a purification solution. The specific backwash solution needs to be determined based on the degree of fouling on the ultrafiltration membrane surface. Multiple pipes are installed in the ultrafiltration membrane tank to be managed, used to introduce backwash solution into the tank during the cleaning stage to rinse the ultrafiltration membrane. The backwash solution flow direction is determined based on the cleaning anomaly location; that is, the direction of the corresponding pipe is adjusted based on the cleaning anomaly location so that the backwash solution flowing out of the corresponding pipe can cover the cleaning anomaly location.

[0088] Different preset contamination characteristics and second-region contamination parameters correspond to different backwash liquid components. Based on the component mapping relationship, the backwash liquid components corresponding to different preset contamination characteristics and second-region contamination parameters can be determined. The backwash liquid components may include salt, acid, alkali, surfactant, etc. The specific content of the component mapping relationship is not specifically limited in this application embodiment, but can be determined by relevant personnel based on historical experimental data and then uploaded to the management system.

[0089] Step S250: Determine the vibration frequency of the ultrafiltration membrane of interest for cleaning based on the membrane fouling level. The ultrafiltration membrane of interest for cleaning is the ultrafiltration membrane that includes the region of interest for cleaning.

[0090] Specifically, in order to reduce the adhesion of contaminants on the surface of the ultrafiltration membrane, the ultrafiltration membrane is not stationary during filtration and cleaning operations, but rather moves at different vibration frequencies. To improve cleaning efficiency and effect, the vibration frequency of the ultrafiltration membrane can be adjusted during the cleaning stage. Different membrane fouling levels correspond to different vibration frequencies, which can be determined based on a preset vibration mapping relationship. The preset vibration mapping relationship is the correspondence between membrane fouling level and vibration frequency. The specific content of this correspondence is not specifically limited in this embodiment of the application, but can be determined by relevant personnel based on historical experimental data and then uploaded to the management system.

[0091] Step S260: Generate a directional cleaning command based on the backwash liquid flow direction, backwash liquid composition and vibration frequency. The directional cleaning command is used to perform directional cleaning on the membrane area of ​​interest.

[0092] Specifically, by combining parameters such as the backwash fluid flow direction, backwash fluid composition, and vibration frequency, a directional cleaning command is generated. According to the generated cleaning command, the relevant cleaning equipment is started to ensure that the backwash fluid is supplied according to the set flow direction and composition. In addition, during the cleaning process, the vibration frequency of the ultrafiltration membrane corresponding to the area of ​​interest for cleaning is adjusted based on the vibration frequency. Cleaning is carried out based on the directional cleaning command to ensure that the backwash fluid can fully cover and clean the area of ​​interest for cleaning, thereby further improving the cleaning effect.

[0093] Furthermore, to enhance the flexibility and controllability of the targeted cleaning operation, the method provided in this application embodiment also includes:

[0094] The system identifies the location of contaminants in the membrane area of ​​interest and generates a mobile cleaning route based on these locations. It then performs mobile and directional cleaning of the membrane area based on the mobile cleaning route and directional cleaning commands, collecting real-time mobile cleaning parameters generated during the process. Finally, it updates the cleaning operation simulation model based on these real-time parameters and adjusts the directional cleaning commands for the next directional cleaning cycle based on the updated simulation model.

[0095] Specifically, when performing targeted cleaning of the membrane area of ​​interest based on a targeted cleaning command, cleaning can be carried out at a fixed rinsing angle. For example, the backwash liquid outlet pipe can be controlled to rotate 30 degrees to the right to perform targeted rinsing of the membrane area of ​​interest. The specific rinsing angle is not specifically limited in this embodiment, as long as it can ensure that the backwash liquid can cover the entire membrane area of ​​interest. When the area corresponding to the membrane area of ​​interest is larger than a preset area threshold, the membrane area of ​​interest can be moved and cleaned by planning a cleaning movement route. The cleaning movement route can be determined according to the contaminant adhesion at each location in the membrane area of ​​interest. For example, the concentration gradient of contaminants needs to be considered. For areas with higher contaminant concentrations, priority can be given to cleaning to reduce the diffusion and further accumulation of contaminants. The moving cleaning route should ensure that it can fully cover the membrane area of ​​interest and minimize repeated cleaning and omissions. The method of determining the moving cleaning route is not specifically limited in this embodiment.

[0096] Once the mobile cleaning route is determined, the rinsing direction of the backwash solution can be controlled according to the route to perform mobile rinsing on the membrane area of ​​interest. To improve rinsing efficiency, a rinsing movement rate is generally set. One rinsing cycle is defined as one directional cleaning cycle, performed according to the mobile cleaning route and rinsing movement rate. The rinsing movement rate can be determined based on the membrane fouling level within the area of ​​interest, and the specific value is not specifically limited in this embodiment. During the directional cleaning of the membrane area of ​​interest according to the mobile cleaning route, it is convenient to monitor the status and effect of the directional cleaning operation in real time, and update the display effect of the cleaning operation simulation model in a timely manner based on the cleaning effect. This improves the adaptability between the cleaning operation simulation model and the actual situation of the membrane area of ​​interest, allowing relevant personnel to directly view the cleaning effect and adjust the directional cleaning instructions for the next directional cleaning cycle in a timely manner, avoiding insufficient cleaning intensity or waste of cleaning resources. This real-time monitoring and adjustment capability enhances the flexibility and controllability of the directional cleaning operation.

[0097] Furthermore, in order to minimize cleaning costs while ensuring cleaning effectiveness, the method provided in this application embodiment also includes:

[0098] The cleaning costs of cleaning operations corresponding to each abnormal transmembrane pressure difference within the second preset time period are integrated, and the abnormal transmembrane pressure difference is higher than the preset standard pressure difference. Based on the cleaning cost corresponding to each transmembrane pressure difference, the target transmembrane pressure difference is determined from multiple transmembrane pressure differences. The preset standard pressure difference is adjusted based on the target transmembrane pressure difference.

[0099] Specifically, the second preset time period is a period of time prior to the current moment. The duration of the second preset time period can be 5 days or 7 days, and the specific duration is not specifically limited in this embodiment. The cleaning cost includes the cost of cleaning agents, labor costs, and power consumption costs. The cleaning cost and the corresponding abnormal transmembrane pressure difference will be recorded for each cleaning within the evacuation cycle and for each cleaning corresponding to immediate intervention. The cleaning cost can be manually recorded by relevant personnel and then entered into the management system, or it can be automatically calculated based on the cleaning command.

[0100] The cleaning costs corresponding to each abnormal transmembrane pressure difference are calculated and analyzed to determine the unit cleaning cost per unit time for different abnormal transmembrane pressure differences. The abnormal transmembrane pressure difference with the lowest unit cleaning cost is determined as the target transmembrane pressure difference. Finally, the preset standard pressure difference is adjusted by the target transmembrane pressure difference to minimize cleaning costs while ensuring cleaning effect, thereby improving overall operational efficiency.

[0101] This application provides a management system, such as... Figure 3 As shown, Figure 3The management system 300 shown includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the management system 300 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this management system 300 does not constitute a limitation on the embodiments of this application.

[0102] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0103] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The symbol is represented by only one line, but this does not mean that there is only one bus or one type of bus.

[0104] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0105] The memory 303 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0106] The management system includes, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Tablet PCs), PMPs (Portable Multimedia Players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. It can also include servers. Figure 3 The management system shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0107] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0108] This application provides a computer program product including a computer program that, when executed by a processor, implements the methods described in any of the above embodiments.

[0109] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0110] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for intelligent operation and management of ultrafiltration membrane tanks in water plants, characterized in that, include: The membrane tank operating parameters are obtained, and a multivariate regression analysis is performed on the membrane tank operating parameters to determine the transmembrane pressure difference corresponding to the membrane tank operating parameters. The membrane tank operating parameters include influent water quality, effluent water quality, water temperature, and filtration pressure. When the transmembrane pressure difference is higher than the preset standard pressure difference, it is determined whether the current moment is within the preset venting cycle; If so, then a cleaning operation will be performed based on the membrane tank operating parameters; If not, the transmembrane pressure difference growth value within the first preset time period is obtained, and the response intervention type is determined based on the transmembrane pressure difference growth value. The response intervention type includes preventive intervention and immediate intervention. The cleaning operation based on the membrane tank operating parameters includes: When it is detected that the current time is within the preset evacuation cycle, an evacuation command is generated. The evacuation command is used to evacuate the ultrafiltration membrane tank under management. Obtain the venting parameters and determine the membrane fouling level based on the venting parameters and the membrane tank operating parameters. The venting parameters include wastewater color and venting flow rate. A cleaning instruction is determined based on the membrane fouling level, and a cleaning operation is performed on the ultrafiltration membrane tank to be managed based on the cleaning instruction. The cleaning instruction includes cleaning flow rate, cleaning duration, and cleaning pressure. Also includes: Obtain cleaning parameters and determine a cleaning operation simulation model corresponding to the ultrafiltration membrane tank to be managed based on the cleaning parameters. The cleaning parameters are generated when the ultrafiltration membrane tank to be managed is cleaned based on the cleaning command. Based on the cleaning operation simulation model, the cleaning concern membrane area and the corresponding second region contamination parameters are determined, wherein the cleaning concern membrane area includes preset contamination characteristics. Identify the cleaning anomaly locations in the cleaning operation simulation model for the area of ​​concern for cleaning, and determine the backwash fluid flow direction based on the cleaning anomaly locations; The composition of the backwash solution is determined based on the preset contamination characteristics and the contamination parameters of the second area. The vibration frequency of the ultrafiltration membrane of concern for cleaning is determined based on the membrane fouling level, wherein the ultrafiltration membrane of concern for cleaning is an ultrafiltration membrane that includes the region of the membrane of concern for cleaning. Based on the backwash fluid flow direction, the backwash fluid composition, and the vibration frequency, a directional cleaning command is generated, which is used to perform directional cleaning on the membrane area of ​​interest.

2. The intelligent operation and management method for an ultrafiltration membrane tank in a water plant according to claim 1, characterized in that, When the intervention type is a preventative intervention, it also includes: Based on the membrane tank operating parameters, determine the filtration operation simulation model corresponding to the ultrafiltration membrane tank to be managed; Based on the filtration operation simulation model, the filtration focus membrane area and the corresponding first region contamination parameters are determined. The transmembrane pressure difference of the region corresponding to the filtration focus membrane area is higher than the preset standard region pressure difference. Based on the evacuation interval between the current time and the preset evacuation cycle and the pollution parameters of the first area, a preventive intervention instruction is determined, and a targeted intervention is performed on the filter membrane area of ​​concern based on the preventive intervention instruction. The preventive intervention instruction includes a filter flow rate adjustment value and an ultrafiltration membrane movement amplitude adjustment value.

3. The intelligent operation and management method for an ultrafiltration membrane tank in a water plant according to claim 1, characterized in that, Also includes: Identify the location of contaminants corresponding to the area of ​​membrane of interest to be cleaned, and form a moving cleaning route based on the location of the contaminants; Based on the mobile cleaning route and the directional cleaning command, the area of ​​the membrane of interest is cleaned by mobile directional cleaning, and real-time mobile cleaning parameters generated during the mobile directional cleaning process are collected. The cleaning operation simulation model is updated based on the real-time mobile cleaning parameters, and the directional cleaning instructions corresponding to the next directional cleaning cycle are adjusted based on the updated cleaning operation simulation model.

4. The intelligent operation and management method for an ultrafiltration membrane tank in a water plant according to claim 1, characterized in that, Also includes: The cleaning cost of cleaning operations corresponding to each abnormal transmembrane pressure difference within a second preset time period is integrated, wherein the abnormal transmembrane pressure difference is higher than the preset standard pressure difference; The target transmembrane pressure is determined from multiple transmembrane pressures based on the cleaning cost corresponding to each transmembrane pressure difference. The preset standard pressure difference is adjusted based on the target transmembrane pressure difference.

5. A management system, characterized in that, The management system includes: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform an intelligent operation management method for an ultrafiltration membrane tank in a water plant according to any one of claims 1-4.

6. A computer-readable storage medium, characterized in that, include: The computer program stores a method for intelligent operation and management of an ultrafiltration membrane tank in a water plant, which can be loaded by a processor and executed as described in any one of claims 1-4.

7. A computer program product, characterized in that, The method includes a computer program that, when executed by a processor, implements the steps of an intelligent operation and management method for an ultrafiltration membrane tank in a water plant according to any one of claims 1-4.

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