Intelligent operation management method and system for ultrafiltration membrane pool of water plant and storage medium

Abstract

The invention relates to the technical field of sewage treatment, in particular to an intelligent operation management method and system for a water plant ultrafiltration membrane pool and a storage medium. The method comprises the steps that membrane pool operation parameters are obtained, multiple regression analysis is conducted on the membrane pool operation parameters, and transmembrane pressure differences corresponding to the membrane pool operation parameters are determined; the operating parameters of the membrane tank comprise inlet water quality, outlet water quality, water temperature and filtering pressure; when the transmembrane pressure difference is higher than the preset standard pressure difference, whether the current moment is in a preset emptying period or not is judged; if yes, carrying out cleaning operation based on the membrane pool operation parameters; and if not, obtaining a transmembrane pressure difference increase value in the first preset time period, and determining a coping intervention type based on the transmembrane pressure difference increase value, the coping intervention type including preventive intervention and immediate intervention. According to the invention, the balance between the cleaning and maintenance of the ultrafiltration membrane is conveniently improved, so that the continuous, efficient and stable operation of the water treatment process is ensured.

Description

Technical Field

[0001] The present application relates to the technical field of sewage treatment, and in particular to an intelligent operation management method, system and storage medium for an ultrafiltration membrane pool in a water plant. Background Art

[0002] Membrane technology, especially ultrafiltration membrane technology, plays a vital role in the field of water treatment in the 21st century. The working principle of ultrafiltration membrane mainly depends on the selective filtration ability of its pore size. The pore size of ultrafiltration membrane is usually between microfiltration and nanofiltration. It can effectively intercept suspended matter, colloids, bacteria, viruses and some macromolecular organic matter in the solution, so it is widely used in the field of water treatment.

[0003] Due to the interception effect of the membrane pores, the ultrafiltration membrane can intercept pollutants in the solution that are larger than its pore size. The intercepted pollutants may accumulate on the surface of the ultrafiltration membrane through physical action. Long-term accumulation of pollutants may cause the performance of the ultrafiltration membrane to deteriorate. At this time, the ultrafiltration membrane can be cleaned to remove the pollutants attached to the surface of the ultrafiltration membrane. However, the cleaning process may involve multiple steps such as membrane pool emptying, backwashing, and chemical washing. Frequent cleaning may also reduce water treatment efficiency. Moreover, repeated cleaning may damage the ultrafiltration membrane, thereby affecting its long-term stability and reliability. Therefore, finding a balance between ultrafiltration membrane cleaning and maintenance, ensuring the stability of membrane performance and avoiding the negative effects of excessive cleaning, is the key to ensuring efficient and stable operation of the water treatment process. Summary of the invention

[0004] In order to improve the balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring continuous efficient and stable operation of the water treatment process, the present application provides an intelligent operation management method, system and storage medium for an ultrafiltration membrane pool in a water plant.

[0005] In the first aspect, the present application provides an intelligent operation and management method for an ultrafiltration membrane pool in a water plant, which adopts the following technical solution: An intelligent operation and management method for an ultrafiltration membrane pool in a water plant, comprising: Acquire membrane pool operating parameters, and perform multivariate regression analysis on the membrane pool operating parameters to determine the transmembrane pressure difference corresponding to the membrane pool operating parameters, wherein the membrane pool operating parameters include inlet water quality, outlet water quality, water temperature and filtration pressure; When the transmembrane pressure difference is higher than the preset standard pressure difference, determining whether the current moment is in a preset emptying cycle; If yes, a cleaning operation is performed based on the membrane pool 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, and the response intervention type includes preventive intervention and immediate intervention.

[0006] By adopting the above technical scheme, by obtaining the membrane pool operation parameters in real time and performing multivariate regression analysis on them to determine the transmembrane pressure difference, it is convenient to monitor and predict the ultrafiltration membrane performance in real time, so as to improve the accuracy and timeliness of identifying the contamination of the ultrafiltration membrane surface. When the transmembrane pressure difference is large, the cleaning operation is not directly started, but the emptying cycle is set to avoid the reduction of water treatment efficiency and damage to the ultrafiltration membrane caused by frequent cleaning. If the current moment is not in the emptying cycle, different types of intervention operations can be performed on the ultrafiltration membrane by analyzing the growth of the transmembrane pressure difference within the preset time period. When the ultrafiltration membrane surface is less contaminated, operations to slow down the surface attachment can be performed to prevent further deterioration of the ultrafiltration membrane contamination. When the ultrafiltration membrane surface is deeply contaminated, immediate intervention can be performed to ensure the stability of the performance of the ultrafiltration membrane. Through this flexible response strategy, it is easy to improve the balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring the continuous efficient and stable operation of the water treatment process.

[0007] In a possible implementation, when the intervention type is preventive intervention, it also includes: Based on the membrane pool operating parameters, determining a filtration work simulation model corresponding to the ultrafiltration membrane pool to be managed; Determine a filtration focus membrane region and a first regional contamination parameter corresponding to the filtration focus membrane region based on the filtration work simulation model, wherein the regional transmembrane pressure difference corresponding to the filtration focus membrane region is higher than a preset standard regional pressure difference; A preventive intervention instruction is determined based on the emptying interval between the current moment and the preset emptying cycle and the pollution parameter of the first area, and a targeted intervention is performed on the filtration membrane area based on the preventive intervention instruction. The preventive intervention instruction includes a filtration flow rate adjustment value and an ultrafiltration membrane movement amplitude adjustment value.

[0008] By adopting the above technical solution and constructing a filtration work simulation model, it is convenient to accurately simulate the actual working state of the ultrafiltration membrane pool, and can accurately locate the filtration membrane area with more serious pollution, and through targeted intervention in the filtration membrane area, avoid unnecessary comprehensive cleaning of the entire membrane pool. This targeted cleaning strategy is convenient for reducing the cleaning frequency and cost of the ultrafiltration membrane, and at the same time, it is convenient to maintain the stability of the overall performance of the ultrafiltration membrane pool.

[0009] In a possible implementation, the cleaning operation based on the membrane pool operating parameters includes: When it is detected that the current moment is within the preset emptying cycle, an emptying instruction is generated, and the emptying instruction is used to empty the ultrafiltration membrane pool to be managed; Acquiring emptying parameters, and determining the membrane contamination level based on the emptying parameters and the membrane pool operation parameters, wherein the emptying parameters include sewage color and emptying flow rate; A cleaning instruction is determined based on the membrane pollution level, and a cleaning operation is performed on the ultrafiltration membrane pool to be managed based on the cleaning instruction, wherein the cleaning instruction includes a cleaning flow rate, a cleaning time, and a cleaning pressure.

[0010] By adopting the above technical solution, the membrane pollution level is comprehensively evaluated by analyzing the emptying parameters collected during the emptying process and the membrane pool operation parameters. Compared with the judgment of a single parameter, it is more accurate and convenient to more comprehensively reflect the pollution status of the ultrafiltration membrane surface. The cleaning parameters determined according to the membrane pollution level are convenient for personalized cleaning for different degrees of pollution, which is convenient for saving water resources and energy consumption while ensuring the cleaning effect. In addition, the ultrafiltration membrane pool is managed by automated and intelligent means, which reduces the possibility of manual intervention and misjudgment, thereby facilitating improving the efficiency and accuracy of the cleaning process.

[0011] In one possible implementation, the method further includes: Acquire cleaning parameters, and determine a cleaning operation simulation model corresponding to the ultrafiltration membrane pool to be managed based on the cleaning parameters, wherein the cleaning parameters are generated when the ultrafiltration membrane pool to be managed is cleaned based on the cleaning instructions; Determine, based on the cleaning operation simulation model, a cleaning concern membrane region and a second region contamination parameter corresponding to the cleaning concern membrane region, wherein the cleaning concern membrane region includes a preset contamination feature; Identifying a cleaning abnormality position of the cleaning focus membrane area in the cleaning operation simulation model, and determining a backwash liquid flow direction based on the cleaning abnormality position; determining a backwash liquid composition based on the preset pollution characteristic and the second region pollution parameter; Determining a vibration frequency of an ultrafiltration membrane of concern for cleaning based on the membrane pollution level, wherein the ultrafiltration membrane of concern for cleaning is an ultrafiltration membrane including the ultrafiltration membrane region of concern for cleaning; A directional cleaning instruction is generated based on the backwash liquid flow direction, the backwash liquid composition and the vibration frequency, and the directional cleaning instruction is used to perform directional cleaning on the cleaning focus membrane area.

[0012] By adopting the above technical solution, through observing and analyzing the cleaning operation simulation model, it is convenient to accurately determine the membrane area of ​​concern for cleaning, so that the cleaning operation can be concentrated on these membrane areas that need cleaning most, and the waste of resources caused by comprehensive cleaning can be avoided. According to the pollution characteristics and pollution parameters of the membrane area of ​​concern for cleaning, the composition of the backwash liquid is customized to ensure that the backwash liquid can effectively remove surface pollutants. At the same time, through the precise backwash liquid flow direction design, it is easy to ensure that the backwash liquid can fully cover and clean the membrane area of ​​concern for cleaning, so as to further improve the cleaning effect.

[0013] In one possible implementation, the method further includes: Identifying the distribution position of pollutants corresponding to the cleaning focus membrane area, and forming a mobile cleaning route based on the distribution position of pollutants; Based on the mobile cleaning route and the directional cleaning instruction, mobile directional cleaning is performed on the cleaning focus membrane area, 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.

[0014] By adopting the above technical solution, a mobile cleaning route is generated by the distribution position of pollutants corresponding to the cleaning focus membrane area, so as to ensure that each pollutant can be accurately hit during the directional cleaning process, thereby improving the cleaning effect. In addition, directional cleaning based on the mobile cleaning route is convenient for real-time monitoring of the status and effect of the directional cleaning operation. Once it is found that the directional cleaning effect is not good or there is an abnormal situation, the cleaning operation simulation model can be immediately updated based on the real-time mobile cleaning parameters, and the directional cleaning instructions corresponding to the next directional cleaning cycle can be adjusted. Through this real-time monitoring and adjustment capability, the flexibility and controllability of the directional cleaning operation process can be improved.

[0015] In one possible implementation, the method further includes: Integrate the cleaning costs of cleaning operations corresponding to each abnormal transmembrane pressure difference within a second preset time period, wherein the abnormal transmembrane pressure difference is higher than the preset standard pressure difference; determining a target transmembrane pressure difference from a plurality of transmembrane pressure differences based on a cleaning cost corresponding to each transmembrane pressure difference; The preset standard pressure difference is adjusted based on the target transmembrane pressure difference.

[0016] By adopting the above technical solution and integrating the cleaning costs corresponding to each transmembrane pressure difference within a preset time period, it is convenient to fully understand the economic cost of cleaning under different transmembrane pressure difference levels. This cost analysis helps relevant managers to select the most cost-effective transmembrane pressure difference threshold, that is, the target transmembrane pressure difference, while ensuring water quality safety. The preset standard pressure difference is adjusted by the target transmembrane pressure difference, which is convenient for minimizing the cleaning cost while ensuring the cleaning effect, thereby improving the overall operational efficiency.

[0017] In a second aspect, the present application provides a management system, which adopts the following technical solution: A management system, the management system comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned intelligent operation management method for the ultrafiltration membrane pool of a water plant.

[0018] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes: a computer program that can be loaded by a processor and executed by the intelligent operation management method of the water plant ultrafiltration membrane pool.

[0019] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the intelligent operation management method of the ultrafiltration membrane pool of the water plant is realized.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: By acquiring the membrane pool operating parameters in real time and performing multivariate regression analysis to determine the transmembrane pressure difference, it is convenient to monitor and predict the ultrafiltration membrane performance in real time, thereby improving the accuracy and timeliness of identifying the contamination of the ultrafiltration membrane surface. When the transmembrane pressure difference is large, the cleaning operation is not directly started, but the emptying cycle is set to avoid the reduction of water treatment efficiency and damage to the ultrafiltration membrane caused by frequent cleaning. If the current moment is not in the emptying cycle, different types of intervention operations can be performed on the ultrafiltration membrane by analyzing the growth of the transmembrane pressure difference within the preset time period. When the ultrafiltration membrane surface is less contaminated, operations to slow down the surface attachment can be performed to prevent further deterioration of the ultrafiltration membrane contamination. When the ultrafiltration membrane surface is deeply contaminated, immediate intervention can be performed to ensure the stability of the ultrafiltration membrane performance. Through this flexible response strategy, it is easy to improve the balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring the continuous efficient and stable operation of the water treatment process.

[0021] By observing and analyzing the cleaning operation simulation model, it is convenient to accurately determine the membrane areas of concern for cleaning, so that the cleaning operation can be concentrated on these membrane areas that need cleaning the most, avoiding the waste of resources caused by comprehensive cleaning. According to the pollution characteristics and pollution parameters of the membrane areas of concern for cleaning, the backwash liquid composition is customized to ensure that the backwash liquid can effectively remove surface pollutants. At the same time, through the precise backwash liquid flow direction design, it is easy to ensure that the backwash liquid can fully cover and clean the membrane areas of concern for cleaning, thereby facilitating further improving the cleaning effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of an intelligent operation management method of an ultrafiltration membrane pool in a water plant in an embodiment of the present application; Figure 2 It is a schematic diagram of a flow chart for determining a directional cleaning instruction in an embodiment of the present application; Figure 3 It is a structural diagram of a management system in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following is combined with Figures 1 to 3 This application is described in further detail.

[0024] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0027] Specifically, the embodiment of the present application provides an intelligent operation management method for an ultrafiltration membrane pool in a water plant, which is executed by a management system, and the management system can be a server or a terminal device, wherein the server can be an independent physical server, or 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 smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and the embodiment of the present application does not limit this.

[0028] refer to Figure 1 , Figure 1 It is a flow chart of an intelligent operation management method of a water plant ultrafiltration membrane pool in an embodiment of the present application, the method comprises steps S110 to S140, wherein: Step S110: Acquire membrane pool operating parameters, and perform multivariate regression analysis on the membrane pool operating parameters to determine the transmembrane pressure difference corresponding to the membrane pool operating parameters. The membrane pool operating parameters include inlet water quality, outlet water quality, water temperature and filtration pressure.

[0029] Specifically, the ultrafiltration membrane is a polymer semipermeable membrane, and its structure is usually divided into two layers: the upper layer is the functional layer, which has a dense microporous structure with a pore size range of about 120 nanometers; the lower layer is the support layer, which has a larger through-pore structure and mainly plays the role of enhancing the strength of the membrane. When the sewage or other aqueous solutions to be treated flow through the surface of the ultrafiltration membrane of the ultrafiltration membrane pool to be managed under pressure, the solvents and small molecular solutes smaller than the membrane pores will penetrate the membrane pores to become purified liquid, while the solutes and solute groups larger than the membrane pores, such as polymer substances, colloids, particles, bacteria, etc., will be intercepted and discharged with the water flow to become concentrated liquid. The membrane pool operating parameters are the corresponding operating parameters of the ultrafiltration membrane pool to be managed when filtering sewage, including but not limited to the inlet water quality, outlet water quality, water temperature and filtration pressure.

[0030] Among them, the inlet water quality is the water quality of sewage or other aqueous solutions that need to be treated, which can be collected by a water quality detection sensor set on the outside of the ultrafiltration membrane in the ultrafiltration membrane pool to be managed and uploaded to the management system. Since the suspended matter, colloids, microorganisms, etc. contained in the inlet water quality may adhere to the surface of the ultrafiltration membrane, which may affect the permeability of the ultrafiltration membrane, the inlet water quality needs to be considered when determining the transmembrane pressure difference. The effluent water quality is the water quality of the purified liquid, which can be collected by a water quality detection sensor set 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 can reflect the degree of contamination on the surface of the ultrafiltration membrane. If the effluent water quality is poor, it may indicate that more pollutants have accumulated on the surface of the ultrafiltration membrane, resulting in the impurities contained in the sewage or other aqueous solutions that need to be treated not being effectively removed, and the degree of contamination on the surface of the ultrafiltration membrane will affect the permeability of the ultrafiltration membrane. Therefore, the effluent water quality needs to be considered when determining the transmembrane pressure difference of the ultrafiltration membrane. The permeability of the ultrafiltration membrane is proportional to the water temperature of the sewage or other aqueous solution to be treated. At the same time, the permeability of the ultrafiltration membrane is also proportional to the filtration pressure. As the water temperature increases or the filtration pressure increases, the movement speed of water molecules will increase, and the frequency of collision between molecules and membrane pores will also increase. The increased movement speed and collision frequency help water molecules pass through the membrane pores. Therefore, water temperature and excess pressure need to be considered when determining the transmembrane pressure difference of the ultrafiltration membrane.

[0031] In the analysis of membrane pool operating parameters, the transmembrane pressure difference can be used as the dependent variable, and the inlet water quality, outlet water quality, water temperature and filtration pressure can be used as independent variables for multiple regression analysis. The main purpose of multiple regression analysis of membrane pool operating parameters is to reveal the linear relationship between independent variables such as inlet water quality, outlet water quality, water temperature, filtration pressure and transmembrane pressure difference, and quantify the influence of these linear relationships on transmembrane pressure difference, avoiding the one-sidedness of single factor analysis, so as to more comprehensively reflect the influence of membrane pool operating parameters on transmembrane pressure difference. The specific method of multiple regression analysis of membrane pool operating parameters is not specifically limited in the embodiments of the present application, as long as the transmembrane pressure difference corresponding to the membrane pool operating parameters can be determined, wherein the transmembrane pressure difference is inversely proportional to the permeability of the ultrafiltration membrane, and the larger the transmembrane pressure difference, the worse the permeability of the ultrafiltration membrane surface.

[0032] Step S120: When the transmembrane pressure difference is higher than the preset standard pressure difference, it is determined whether the current moment is in the preset emptying cycle.

[0033] Specifically, when the transmembrane pressure difference is high, it means that the resistance of the ultrafiltration membrane to water molecules increases, which may cause the output of purified liquid to decrease slowly. If the ultrafiltration membrane is not cleaned in time, the water treatment efficiency may be reduced. In addition, a high transmembrane pressure difference usually means that there is contamination 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 will not only consume a large amount of cleaning agents and water resources, but may also cause certain losses to the ultrafiltration membrane itself. During the cleaning process, the cleaning agent may cause certain corrosion or wear to the ultrafiltration membrane material, which may shorten the service life of the ultrafiltration membrane. In addition, the cleaning process of the ultrafiltration membrane will also be accompanied by the cost of cleaning agents, electricity, heat energy, water energy and other resources, which may involve consumption costs, consumables loss, etc. Therefore, the ultrafiltration membrane is not cleaned immediately when a large trans-membrane pressure difference is detected on the surface of the ultrafiltration membrane. Instead, it is necessary to first determine whether the current moment is within the preset emptying cycle, that is, whether the current moment can be directly cleaned. The preset emptying cycle can be determined by relevant staff based on historical water treatment data and uploaded to the management system. The specific preset emptying cycle is not specifically limited in the embodiment of the present application.

[0034] In order to ensure the cleaning effect, the ultrafiltration membrane pool is generally emptied before cleaning. The liquid in the ultrafiltration membrane pool can be drained through a manual valve or an automatic emptying function. If the current time is within the preset emptying cycle, it means that the emptying process can be performed immediately at the current time to prepare for subsequent cleaning processes; if the current time is not within the preset emptying cycle, it means that the emptying process will not be performed immediately at the current time.

[0035] Step S130: If yes, a cleaning operation is performed based on the membrane pool operating parameters.

[0036] Specifically, when the current moment is within the preset emptying cycle, the specific cleaning method can be determined by analyzing the membrane pool operating parameters. The specific method may include: when it is detected that the current moment is within the preset emptying cycle, generating an emptying instruction, and the emptying instruction is used to empty the ultrafiltration membrane pool to be managed; obtaining the emptying parameters, and determining the membrane contamination level based on the emptying parameters and the membrane pool operating parameters, the emptying parameters including sewage color and emptying flow; determining the cleaning instruction based on the membrane contamination level, and performing a cleaning operation on the ultrafiltration membrane pool to be managed based on the cleaning instruction, and the cleaning instruction includes the cleaning flow, cleaning time and cleaning pressure.

[0037] Specifically, the emptying instruction is used to remind relevant staff, or control the relevant emptying control components to drain the water in the ultrafiltration membrane pool. The emptying parameters can be collected during the emptying process, and the degree of contamination of the ultrafiltration membrane can be preliminarily judged based on the emptying parameters. The drainage image can be collected by an image acquisition device set in the environment around the ultrafiltration membrane pool and uploaded to the management system. After feature recognition of the drainage image, the color of the sewage during the emptying process can be determined, and the color of the sewage can reflect the turbidity of the sewage. A liquid flow sensor can be used to collect the emptying flow during the emptying process and upload it to the management system. The emptying parameters include but are not limited to the sewage color and the emptying flow, and can also include the emptying pH value, etc., which can be set by relevant technical personnel according to actual needs.

[0038] A pollution level assessment model for the ultrafiltration membrane pool to be managed can be constructed based on historical emptying parameters and historical membrane pool operating parameters. The acquired emptying parameters and membrane pool operating parameters are imported into the pollution level assessment model, and the membrane pollution level corresponding to the emptying parameters and the membrane pool operating parameters can be directly obtained. The membrane pollution level can be divided into primary pollution, secondary pollution, tertiary pollution, etc. The content of the cleaning instructions corresponding to different pollution levels is different. For example, the content of the cleaning instructions corresponding to primary pollution is the cleaning flow a1, the cleaning time a2, and the cleaning pressure a3; the content of the cleaning instructions corresponding to secondary pollution is the cleaning flow b1, the cleaning time b2, and the cleaning pressure b3, wherein 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 pollution levels can be determined by relevant staff based on historical experimental data and entered into the management system in advance. The specific content is not specifically limited in the embodiments of this application. After determining the cleaning instructions, the cleaning components can be controlled based on the cleaning instructions to clean the ultrafiltration membrane pool. The cleaning components include but are not limited to cleaning pumps, cleaning pipes, cleaning valves, etc. The cleaning parameters determined according to the membrane pollution level facilitate personalized cleaning for different degrees of pollution, which saves water resources and energy consumption while ensuring the cleaning effect.

[0039] Step S140: If not, then obtain the transmembrane pressure difference growth value within the first preset time period, and determine the response intervention type based on the transmembrane pressure difference growth value, and the response intervention type includes preventive intervention and immediate intervention.

[0040] Specifically, when the current moment is not within the preset emptying cycle, the growth of the transmembrane pressure difference in the first preset time period can be analyzed, and intervention operations can be provided based on the growth. The transmembrane pressure difference growth value can reflect the speed and degree of ultrafiltration membrane pollution or blockage. The transmembrane pressure difference growth value can be used to characterize the growth of the transmembrane pressure difference in 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 corresponding to the first preset time period can be 15 minutes or 20 minutes. The specific duration is not specifically limited in the embodiments of the present application. Different transmembrane pressure difference growth values ​​correspond to different intervention types, that is, if the transmembrane pressure difference growth value is lower than the preset growth value, it indicates that the degree of ultrafiltration membrane pollution or blockage is relatively light, and preventive intervention measures can be taken, such as reducing the filtration pressure, increasing the movement amplitude of the ultrafiltration membrane, etc., to delay the process of ultrafiltration membrane pollution or blockage; if the transmembrane pressure difference growth value is not lower than the preset growth value, it indicates that the degree of ultrafiltration membrane pollution or blockage is relatively heavy, and immediate intervention measures need to be taken immediately, such as immediate cleaning or replacement of the membrane assembly to restore the normal operation of the water treatment process.

[0041] For the embodiments of the present application, by acquiring the membrane pool operating parameters in real time and performing multivariate regression analysis on them to determine the transmembrane pressure difference, it is convenient to monitor and predict the ultrafiltration membrane performance in real time, thereby facilitating the improvement of the accuracy and timeliness of identifying the contamination of the ultrafiltration membrane surface. When the transmembrane pressure difference is large, the cleaning operation is not directly started, but the emptying cycle is set to avoid the reduction in water treatment efficiency and damage to the ultrafiltration membrane caused by frequent cleaning. If the current moment is not within the emptying cycle, different types of intervention operations can be performed on the ultrafiltration membrane by analyzing the growth of the transmembrane pressure difference within a preset time period. When the degree of contamination on the ultrafiltration membrane surface is relatively light, an operation to slow down the surface adhesion can be performed to prevent further deterioration of the ultrafiltration membrane contamination. When the degree of contamination on the ultrafiltration membrane surface is relatively deep, immediate intervention can be performed to ensure the stability of the performance of the ultrafiltration membrane. Through this flexible response strategy, it is convenient to improve the balance between ultrafiltration membrane cleaning and maintenance, thereby ensuring that the water treatment process continues to operate efficiently and stably.

[0042] Furthermore, in order to reduce the cleaning frequency and cost of the ultrafiltration membrane, when the intervention type is preventive intervention, the method provided in the embodiment of the present application further includes: Based on the membrane pool operating parameters, the filtration working simulation model corresponding to the ultrafiltration membrane pool to be managed is determined; based on the filtration working simulation model, the filtration focus membrane area and the first area pollution parameters corresponding to the filtration focus membrane area are determined, and the regional trans-membrane pressure difference corresponding to the filtration focus membrane area is higher than the preset standard regional pressure difference; based on the drainage interval between the current moment and the preset emptying cycle and the first area pollution parameters, the preventive intervention instruction is determined, and based on the preventive intervention instruction, the filtration focus membrane area is subjected to targeted intervention, and the preventive intervention instruction includes the filtration flow rate adjustment value and the ultrafiltration membrane movement amplitude adjustment value.

[0043] Specifically, the filtration work simulation model corresponding to the ultrafiltration membrane pool to be managed can directly reflect the processing process of the ultrafiltration membrane pool to be managed, and the filtration work simulation model can be constructed based on the basic membrane pool parameters of the ultrafiltration membrane pool to be managed. The basic membrane pool parameters may be ultrafiltration membrane material, ultrafiltration membrane model, number of ultrafiltration membranes, water inlet pressure, water outlet pressure, ultrafiltration membrane installation method, etc. The basic membrane pool parameters may be uploaded to the management system in advance by relevant staff, and constructing the filtration work simulation model based on the basic membrane pool parameters facilitates improving the accuracy of the simulation process. After determining the filtration working simulation model, the membrane pool operating parameters can be imported into the filtration working simulation model, and then the preset fluid dynamics software can be used to simulate the simulated flow conditions of the sewage or other aqueous solutions to be treated in the ultrafiltration membrane pool, and different color depths are used to characterize the pollution conditions at different positions. The darker the color, the more serious the pollution condition at the corresponding position. By analyzing the simulated flow conditions, it is convenient to locate the filtration focus membrane area. The regional pixel value corresponding to the filtration membrane area is higher than the preset standard regional pixel value, that is, the regional trans-membrane pressure difference corresponding to the filtration focus membrane area is higher than the preset standard regional pressure difference, wherein there is a corresponding relationship between color depth and pollution conditions, and based on this corresponding relationship, the display color depth of different pollution conditions in the filtration working simulation model can be determined. The specific content of the corresponding relationship is not specifically limited in the embodiments of the present application, and the specific preset standard regional pixel value and preset standard regional pressure difference are not specifically limited in the embodiments of the present application.

[0044] After locating the filter concern membrane area, the corresponding first area pollution parameter can be determined through the filtration work simulation model. The data collection point of the filter concern membrane area can also be located from the ultrafiltration membrane pool to be managed, and then the first area pollution parameter is determined after collecting relevant sensor data from the ultrafiltration membrane pool to be managed through the data collection point. The specific determination method is not specifically limited in the embodiment of this application. The first area pollution parameter can be a surface attachment feature, a surface attachment concentration, etc. The specific content is not limited in the embodiment of this application, as long as it can simulate the pollution degree of the filter concern membrane area. When performing preventive intervention on the filter concern membrane area, in addition to considering the pollution degree of the filter concern membrane area, it is also necessary to analyze the drainage interval between the current moment and the preset emptying cycle. The farther the drainage interval is, the greater the corresponding preventive intervention intensity. For example, the drainage interval is 2 hours, and the filtration flow rate adjustment value is c1, that is, the current filtration flow rate is reduced by c1; the drainage interval is 0.5 hours, and the filtration flow rate adjustment value is c2, that is, the current filtration flow rate is reduced by c2, where c1 is greater than c2.

[0045] After determining the drainage interval and the pollution parameters of the first region, the initial preventive intervention instruction can be determined based on the prevention mapping relationship and the pollution parameters of the first region. The initial preventive intervention instruction includes the initial filtration flow rate adjustment value and the initial ultrafiltration membrane movement amplitude adjustment value, and then based on the multiple mapping relationship and the drainage interval, the initial growth multiple is determined, and 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 instruction, wherein the prevention mapping relationship is the correspondence between the first regional pollution parameter and the initial preventive intervention instruction, and the multiple mapping relationship is the correspondence between the drainage interval and the initial growth multiple. The specific content of each mapping relationship is not limited in the embodiment of the present application, and can be determined by relevant staff according to historical experimental data and uploaded to the management system. Based on the preventive intervention instruction, the filtration membrane area of ​​concern is intervened in a targeted manner, that is, only the filtration membrane area of ​​concern is preventively intervened, instead of the entire ultrafiltration membrane being preventively intervened when the transmembrane pressure difference is detected to be higher than the preset standard pressure difference. Through the targeted intervention of the filtration membrane area of ​​concern, unnecessary comprehensive cleaning of the entire membrane pool is avoided. Since the ultrafiltration membrane pool may be composed of multiple pool domains and multiple ultrafiltration membranes, after determining the directional intervention pool domain and directional intervention ultrafiltration membrane corresponding to the filtration focus membrane area from the ultrafiltration membrane pool, the filtration flow rate of the directional intervention pool domain can be adjusted based on the preventive intervention instructions, and the ultrafiltration membrane movement amplitude of the directional intervention ultrafiltration membrane can be adjusted to achieve directional preventive intervention.

[0046] Furthermore, in order to further improve the cleaning effect, the method provided in the embodiment of the present application further includes steps S210 to S260, such as Figure 2 As shown, where: Step S210: Acquire cleaning parameters, and determine a cleaning operation simulation model corresponding to the ultrafiltration membrane pool to be managed based on the cleaning parameters, wherein the cleaning parameters are generated when performing a cleaning operation on the ultrafiltration membrane pool to be managed based on the cleaning instructions.

[0047] Specifically, the method of constructing the cleaning operation simulation model corresponding to the ultrafiltration membrane pool to be managed can refer to the method of constructing the filtration operation simulation model in the above embodiment, which will not be described in detail here. The cleaning parameters are the data generated when the ultrafiltration membrane pool to be managed is cleaned based on the cleaning instructions, which are used to reflect the cleaning effect. The cleaning process of the ultrafiltration membrane pool can be intuitively viewed based on the cleaning operation simulation model.

[0048] Step S220: determining a cleaning concern membrane region and a second region contamination parameter corresponding to the cleaning concern membrane region based on the cleaning operation simulation model, wherein the cleaning concern membrane region includes a preset contamination feature.

[0049] Specifically, the preset pollution features can be identified from the cleaning operation simulation model through the feature recognition algorithm, and the membrane area containing the preset pollution features can be determined as the cleaning concern membrane area. The cleaning operation simulation model may include one cleaning concern membrane area, or may include multiple cleaning concern membrane areas. The specific number is not specifically limited in the embodiments of the present application. The preset pollution features are preset pollutant accumulation blocks, preset pollutant gloss, preset pollutant shape, etc. The specific preset pollutant features are not specifically limited in the embodiments of the present application. The method for determining the pollution parameters of the second area corresponding to the cleaning concern membrane area can refer to the method for determining the pollution parameters of the first area corresponding to the filtration concern membrane area in the above embodiment, which will not be elaborated here. When the preset pollution features appear in the ultrafiltration membrane, the characterization of the cleaning difficulty may be greater.

[0050] Step S230: identifying the abnormal cleaning position of the cleaning focus membrane area in the cleaning operation simulation model, and determining the flow direction of the backwash liquid based on the abnormal cleaning position.

[0051] Step S240: Determine the backwash liquid composition based on the preset pollution characteristics and the second area pollution parameters.

[0052] Specifically, the cleaning abnormal position can be the center point of the cleaning concern membrane area, or it can be any point in the cleaning concern membrane area. The specific position is not specifically limited in the embodiments of the present application, as long as it is located in the cleaning concern membrane area. The backwash liquid is the flushing solution used in the cleaning stage. The backwash liquid can be a solution with added chemical reagents, or it can be a purified liquid. The specific backwash liquid needs to be determined based on the degree of contamination on the surface of the ultrafiltration membrane. A plurality of pipes are installed in the ultrafiltration membrane pool to be managed, which are used to introduce backwash liquid into the ultrafiltration membrane pool during the cleaning stage to flush the ultrafiltration membrane. The flow direction of the backwash liquid is determined based on the cleaning abnormal position, that is, the direction of the corresponding pipe is adjusted based on the cleaning abnormal position so that the backwash liquid flowing out of the corresponding pipe can cover the cleaning abnormal position.

[0053] The backwash liquid components corresponding to different preset pollution characteristics and second-area pollution parameters are different. The backwash liquid components corresponding to different preset pollution characteristics and second-area pollution parameters can be determined based on the component mapping relationship. The backwash liquid components may include salt, acid, alkali, surfactant, etc. The specific content of the component mapping relationship is not specifically limited in the embodiment of the present application, and can be determined by relevant staff based on historical experimental data and uploaded to the management system.

[0054] Step S250: determining the vibration frequency of the ultrafiltration membrane of concern for cleaning based on the membrane pollution level, wherein the ultrafiltration membrane of concern for cleaning is an ultrafiltration membrane including a membrane region of concern for cleaning.

[0055] Specifically, in order to reduce the degree of adhesion of pollutants on the surface of the ultrafiltration membrane, the ultrafiltration membrane is not in a static state in both the filtering working state and the cleaning working state, but in a moving state with different vibration frequencies. In order to improve the cleaning efficiency and cleaning effect, the vibration frequency of the ultrafiltration membrane can be adjusted during the cleaning stage. Different membrane pollution levels correspond to different vibration frequencies. The vibration frequency corresponding to the membrane pollution level can be determined based on a preset vibration mapping relationship. The preset vibration mapping relationship is the correspondence between the membrane pollution level and the vibration frequency. The specific content of the correspondence is not specifically limited in the embodiment of the present application, and can be determined by relevant staff based on historical experimental data and uploaded to the management system.

[0056] Step S260: Generate a directional cleaning instruction based on the backwash liquid flow direction, backwash liquid composition and vibration frequency, the directional cleaning instruction is used to perform directional cleaning on the membrane area of ​​cleaning concern.

[0057] Specifically, a directional cleaning instruction is generated based on the parameters of the backwash liquid flow direction, backwash liquid composition and vibration frequency. According to the generated cleaning instruction, the relevant cleaning equipment is started to ensure that the backwash liquid 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 cleaning focus membrane area is adjusted based on the vibration frequency, and cleaning is performed based on the directional cleaning instruction, so as to ensure that the backwash liquid can fully cover and clean the cleaning focus membrane area, thereby facilitating further improving the cleaning effect.

[0058] Furthermore, in order to improve the flexibility and controllability during the directional cleaning operation, the method provided in the embodiment of the present application also includes: Identify the pollutant distribution positions corresponding to the cleaning focus membrane area, and form a mobile cleaning route based on the pollutant distribution positions; perform mobile directional cleaning on the cleaning focus membrane area based on the mobile cleaning route and directional cleaning instructions, and collect real-time mobile cleaning parameters generated during the mobile directional process; update the cleaning operation simulation model based on the real-time mobile cleaning parameters, and adjust the directional cleaning instructions corresponding to the next directional cleaning cycle based on the updated cleaning operation simulation model.

[0059] Specifically, when the cleaning concern membrane area is directionally cleaned based on the directional cleaning instruction, the cleaning can be performed at a fixed flushing angle. For example, the outlet pipe of the backwash liquid is controlled to rotate thirty degrees to the right to directionally flush the cleaning concern membrane area. The specific flushing angle is not specifically limited in the embodiment of the present application, as long as it can ensure that the backwash liquid can cover the entire cleaning concern membrane area. When the area corresponding to the cleaning concern membrane area is greater than the preset area threshold, the cleaning concern membrane area can be mobile cleaned by planning a cleaning moving route. The cleaning moving route can be determined according to the attachment of pollutants at various regional positions in the cleaning concern membrane area. For example, the concentration gradient of pollutants needs to be considered. For regional positions with higher pollutant concentrations, cleaning can be performed preferentially to reduce the diffusion and further accumulation of pollutants. The mobile cleaning route should ensure that the cleaning concern membrane area can be fully covered and repeated cleaning and omissions can be minimized. The method of determining the mobile cleaning route is not specifically limited in the embodiment of the present application.

[0060] After determining the mobile cleaning route, the flushing direction of the backwash liquid can be controlled according to the mobile cleaning route to perform mobile flushing on the cleaning concern membrane area. In order to improve the flushing efficiency, the flushing movement rate is generally set. One flushing according to the mobile cleaning route and the flushing movement rate is a directional cleaning cycle, wherein the flushing movement rate can be determined based on the membrane contamination level in the cleaning concern area, and the specific value is not specifically limited in the embodiment of the present application. In the process of directional cleaning of the cleaning concern membrane area according to the mobile cleaning route, it is convenient to monitor the status and effect of the directional cleaning operation in real time, and timely update the display effect of the cleaning operation simulation model based on the cleaning effect, so as to improve the adaptability between the cleaning operation simulation model and the actual situation of the cleaning concern membrane area, so as to facilitate the relevant staff to directly view the cleaning effect, and also facilitate timely adjustment of the directional cleaning instructions corresponding to the next directional cleaning cycle, so as to avoid insufficient cleaning strength or waste of cleaning resources. Through this real-time monitoring and adjustment capability, it is convenient to improve the flexibility and controllability of the directional cleaning operation process.

[0061] Furthermore, in order to minimize the cleaning cost while ensuring the cleaning effect, the method provided in the embodiment of the present application also includes: 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, a target transmembrane pressure difference is determined from multiple transmembrane pressure differences; and the preset standard pressure difference is adjusted based on the target transmembrane pressure difference.

[0062] Specifically, the second preset time period is a period of time before the current moment, and the duration corresponding to the second preset time period can be 5 days or 7 days. The specific duration is not specifically limited in the embodiments of the present application. The cleaning cost includes the cleaning agent cost, labor cost, power consumption cost, etc. The cleaning cost and the corresponding abnormal transmembrane pressure difference will be recorded for each cleaning within the emptying cycle and the corresponding cleaning during the immediate intervention. The cleaning cost can be manually recorded by the relevant staff and entered into the management system, and can also be automatically calculated based on the cleaning instructions.

[0063] The cleaning cost of the cleaning operation corresponding to each abnormal transmembrane pressure difference is calculated and analyzed to determine the unit price of the cleaning cost per unit time corresponding to different abnormal transmembrane pressure differences. The abnormal transmembrane pressure difference with the lowest cleaning cost unit price is determined as the target transmembrane pressure difference. Finally, the preset standard pressure difference is adjusted according to the target transmembrane pressure difference, so as to minimize the cleaning cost while ensuring the cleaning effect, thereby improving the overall operational efficiency.

[0064] The present application embodiment 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, such as through a bus 302. Optionally, the management system 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the management system 300 does not constitute a limitation on the embodiments of the present application.

[0065] The 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 may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0066] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0067] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0068] The memory 303 is used to store the application code for executing the solution of the present application, and the 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 contents shown in the above method embodiment.

[0069] The management system includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle terminals (such as vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The management system shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0070] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0071] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, the method in any of the above embodiments is implemented.

[0072] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0073] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. An intelligent operation and management method for an ultrafiltration membrane pool in a water plant, characterized in that: include: Acquire membrane pool operating parameters, and perform multivariate regression analysis on the membrane pool operating parameters to determine the transmembrane pressure difference corresponding to the membrane pool operating parameters, wherein the membrane pool operating parameters include inlet water quality, outlet water quality, water temperature and filtration pressure; When the transmembrane pressure difference is higher than the preset standard pressure difference, determining whether the current moment is in a preset emptying cycle; If yes, a cleaning operation is performed based on the membrane pool 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, and the response intervention type includes preventive intervention and immediate intervention.

2. The intelligent operation management method of a water plant ultrafiltration membrane pool according to claim 1, characterized in that: When the intervention type is preventive intervention, it also includes: Based on the membrane pool operating parameters, determining a filtration work simulation model corresponding to the ultrafiltration membrane pool to be managed; Determine a filtration focus membrane region and a first regional contamination parameter corresponding to the filtration focus membrane region based on the filtration work simulation model, wherein the regional transmembrane pressure difference corresponding to the filtration focus membrane region is higher than a preset standard regional pressure difference; A preventive intervention instruction is determined based on the emptying interval between the current moment and the preset emptying cycle and the pollution parameter of the first area, and a targeted intervention is performed on the filtration membrane area based on the preventive intervention instruction. The preventive intervention instruction includes a filtration flow rate adjustment value and an ultrafiltration membrane movement amplitude adjustment value.

3. The intelligent operation and management method of a water plant ultrafiltration membrane pool according to claim 1, characterized in that: The cleaning operation based on the membrane pool operating parameters includes: When it is detected that the current moment is within the preset emptying cycle, an emptying instruction is generated, and the emptying instruction is used to empty the ultrafiltration membrane pool to be managed; Acquiring emptying parameters, and determining the membrane contamination level based on the emptying parameters and the membrane pool operation parameters, wherein the emptying parameters include sewage color and emptying flow rate; A cleaning instruction is determined based on the membrane pollution level, and a cleaning operation is performed on the ultrafiltration membrane pool to be managed based on the cleaning instruction, wherein the cleaning instruction includes a cleaning flow rate, a cleaning time, and a cleaning pressure.

4. The intelligent operation management method of a water plant ultrafiltration membrane pool according to claim 3 is characterized in that: Also includes: Acquire cleaning parameters, and determine a cleaning operation simulation model corresponding to the ultrafiltration membrane pool to be managed based on the cleaning parameters, wherein the cleaning parameters are generated when the ultrafiltration membrane pool to be managed is cleaned based on the cleaning instructions; Determine, based on the cleaning operation simulation model, a cleaning concern membrane region and a second region contamination parameter corresponding to the cleaning concern membrane region, wherein the cleaning concern membrane region includes a preset contamination feature; Identifying a cleaning abnormality position of the cleaning focus membrane area in the cleaning operation simulation model, and determining a backwash liquid flow direction based on the cleaning abnormality position; determining a backwash liquid composition based on the preset pollution characteristic and the second region pollution parameter; Determining a vibration frequency of an ultrafiltration membrane of concern for cleaning based on the membrane pollution level, wherein the ultrafiltration membrane of concern for cleaning is an ultrafiltration membrane including the ultrafiltration membrane region of concern for cleaning; A directional cleaning instruction is generated based on the backwash liquid flow direction, the backwash liquid composition and the vibration frequency, and the directional cleaning instruction is used to perform directional cleaning on the cleaning focus membrane area.

5. The intelligent operation management method of a water plant ultrafiltration membrane pool according to claim 4 is characterized in that: Also includes: Identifying the distribution position of pollutants corresponding to the cleaning focus membrane area, and forming a mobile cleaning route based on the distribution position of pollutants; Based on the mobile cleaning route and the directional cleaning instruction, mobile directional cleaning is performed on the cleaning focus membrane area, 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.

6. The intelligent operation management method of a water plant ultrafiltration membrane pool according to claim 1, characterized in that: Also includes: Integrate the cleaning costs of cleaning operations corresponding to each abnormal transmembrane pressure difference within a second preset time period, wherein the abnormal transmembrane pressure difference is higher than the preset standard pressure difference; determining a target transmembrane pressure difference from a plurality of transmembrane pressure differences based on a cleaning cost corresponding to each transmembrane pressure difference; The preset standard pressure difference is adjusted based on the target transmembrane pressure difference.

7. 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 a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute an intelligent operation management method for an ultrafiltration membrane pool of a water plant according to any one of claims 1-6.

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

9. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the steps of an intelligent operation management method for an ultrafiltration membrane pool of a water plant according to any one of claims 1 to 6.

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