Ceramic membrane high-efficiency filtering method and system for sewage treatment

Abstract

The invention relates to the technical field of sewage treatment, in particular to a ceramic membrane efficient filtering method and system for sewage treatment, and the method comprises the steps of confirming a ceramic membrane filtering environment, obtaining sewage characteristics, extracting operation parameters, and executing online cleaning and collaborative filtering operation. By optimizing the online cleaning mechanism and the anti-pollution capacity of the ceramic membrane, the sewage treatment efficiency is remarkably improved. The invention further provides electronic equipment and a storage medium which are used for realizing the method. The method can call the treatment flow and parameters in the ceramic membrane operation database according to the sewage characteristics, is suitable for different sewage types, prolongs the service life of the ceramic membrane, and improves the economic benefits.

Description

Technical Field

[0001] The present invention belongs to the technical field of sewage treatment, and in particular relates to a ceramic membrane high-efficiency filtration method and system for sewage treatment. Background Art

[0002] As one of the key technologies in wastewater treatment, ceramic membranes have been widely used in industrial wastewater treatment, municipal wastewater treatment, and recycled water treatment due to their excellent filtration performance, chemical corrosion resistance, and high mechanical strength. Ceramic membranes can effectively remove pollutants such as suspended particles, organic matter, and microorganisms from wastewater, thereby achieving efficient water purification. However, despite the many advantages of ceramic membranes in wastewater treatment, existing ceramic membrane filtration methods and systems still have many shortcomings in practical application, especially in terms of online cleaning capabilities, anti-pollution performance, and system integration, which seriously affect their long-term stable operation and economic benefits.

[0003] In the prior art, the patent document with publication number CN110038339B proposes a ceramic membrane filter, which significantly improves the structural stability of the ceramic membrane by arranging multiple ceramic membrane filter tubes in the tank body and using springs and arc blocks on the reinforcement disk to support and protect the ceramic membrane filter tubes. However, this technical solution has obvious defects in cleaning and maintenance. Specifically, the cleaning of ceramic membrane filter tubes mainly relies on manual disassembly and external cleaning. This cleaning method is not only inefficient, but also complicated to operate, and it is difficult to meet the requirements of modern sewage treatment systems for efficient maintenance. In addition, the solution does not fully consider the anti-pollution ability of the ceramic membrane in long-term operation, which can easily lead to a rapid decrease in membrane flux, thereby affecting the overall filtration efficiency. This defect is particularly prominent under high-load operating conditions, which limits the economy and sustainability of the system.

[0004] Another related technology is patent publication CN113368698B, which proposes a silicon carbide ceramic membrane filtration device. This technology utilizes a first and second water pressure sensor, combined with a switching mechanism between dead-end filtration and cross-flow filtration, to achieve automatic cleaning and impurity recovery of the ceramic membrane. Compared to traditional manual cleaning methods, this technology improves the level of cleaning automation to a certain extent. However, this solution still has some shortcomings. First, the switching of cross-flow filtration relies on signal feedback from the water pressure sensor. This mechanism can result in a long response time and cannot promptly respond to sudden membrane fouling. Second, the cleaning process of this solution requires additional impurity removal and reflux equipment, which not only increases system complexity but also significantly increases operating costs, making it unsuitable for large-scale application. Furthermore, this technology has limited optimization of its anti-fouling performance and fails to fundamentally address the problem of ceramic membranes being susceptible to fouling during long-term operation, thus limiting its applicability under conditions of high pollutant loads.

[0005] The above problems indicate that the existing ceramic membrane filtration methods and systems still need to be improved in the following aspects: First, the online cleaning capacity is insufficient. Most existing technologies rely on complex external cleaning or slow-responding automated cleaning mechanisms, which are difficult to meet the needs of efficient and convenient cleaning; second, the anti-pollution performance needs to be improved. Existing technologies lack effective solutions in preventing membrane surface pollution and delaying the decline of membrane flux; third, the system integration is low. Some technical solutions require the additional configuration of a variety of auxiliary equipment, which increases the system complexity and operating costs, limiting its wide application in actual engineering. Summary of the Invention

[0006] The present invention provides a ceramic membrane high-efficiency filtration method and system for sewage treatment, the main purpose of which is to significantly improve sewage treatment efficiency and economic benefits by optimizing the online cleaning mechanism, anti-pollution ability and system integration of the ceramic membrane.

[0007] To achieve the above objectives, the present invention provides a ceramic membrane high-efficiency filtration method for sewage treatment, comprising: Confirming the ceramic membrane filtration environment, wherein the ceramic membrane filtration environment includes: a ceramic membrane assembly, a self-cleaning unit, and auxiliary processing equipment; receiving a set of sewage to be treated based on a ceramic membrane filtration environment, obtaining a sample to be tested based on the set of sewage to be treated, identifying the sample to be tested using a pre-built water quality analysis unit, and obtaining sewage characteristics; Obtaining a ceramic membrane operation database, importing sewage characteristics into the ceramic membrane operation database, and obtaining multiple operation parameters corresponding to the sewage characteristics; Extracting cleaning parameters from a plurality of operating parameters, importing the cleaning parameters into a self-cleaning unit, and performing an online cleaning operation on the ceramic membrane assembly based on the self-cleaning unit after importing the cleaning parameters to obtain a cleaned ceramic membrane assembly; The multiple operating parameters after removing the cleaning parameters are imported into the auxiliary treatment equipment to obtain the startup auxiliary treatment equipment, the cleaned ceramic membrane assembly and the startup auxiliary treatment equipment are coordinated to operate and perform a filtration operation on the wastewater to be treated to obtain purified wastewater, and the wastewater treatment based on high-efficiency filtration of ceramic membranes is completed based on the purified wastewater.

[0008] Optionally, before obtaining the ceramic membrane operation database, the method further includes: Obtain a target pressure sequence, extract target pressures from the target pressure sequence in sequence, and perform the following operations on each extracted target pressure: An initial sewage sample is obtained based on the extracted target pressure and pre-constructed simulated sewage, a pollutant of a preset concentration is added to the initial sewage sample to obtain a sewage sample to be tested, and the sewage sample to be tested is equally divided to obtain a plurality of unit sewage samples; The following operations are performed on each unit sewage sample in the multiple unit sewage samples: A target flow rate is extracted from a preset flow gradient sequence, a unit sewage sample is introduced into the ceramic membrane assembly, the ceramic membrane assembly is started using the target flow rate and a preset filtration time, a filtering operation is performed on the unit sewage sample in the ceramic membrane assembly using the started ceramic membrane assembly, and the filtered unit sewage sample is allowed to stand to obtain a stationary stratified sample, and a filtrate sample is extracted from the stationary stratified sample; Using a pre-established turbidity detection method to detect the filtrate turbidity of the filtrate sample, and establishing unit experimental parameters based on the filtrate turbidity, wherein the unit experimental parameters include: filtrate turbidity, target flow rate, filtration time, and target pressure; Summarize the unit experiment parameters to obtain the unit experiment data set; The cleaning parameters corresponding to the initial sewage sample were determined based on the unit experimental data set.

[0009] Optionally, the detecting the turbidity of the filtrate sample using a pre-established turbidity detection method comprises: obtaining an initial turbidity meter, and calibrating the initial turbidity meter using a pre-established calibration method to obtain a calibrated turbidity meter; introducing a pre-constructed standard solution into a calibration turbidity meter, performing a constant temperature stabilization operation on the calibration turbidity meter after the standard solution has been introduced to obtain a stabilized meter, and photographing the stabilized meter using a pre-constructed visual monitoring system to obtain an initial measurement image, wherein the initial measurement image includes calibration scale lines provided on the stabilized meter; After performing a preprocessing operation on the initial measurement image, a binary measurement image is obtained, a liquid surface boundary of the standard solution is identified from the binary measurement image, a boundary scale line is obtained, and a first reference line and a second reference line are extracted from the calibration scale line based on the boundary scale line, wherein the preprocessing operation includes: noise reduction, grayscale conversion, and binarization; Estimate a starting value using a pre-built estimation method, a first reference line, and a second reference line; Weighing the filtrate sample to obtain the mass of the filtrate, introducing the weighed filtrate sample into a stable measuring instrument, performing ultrasonic dispersion and constant temperature stabilization operations on the stable measuring instrument after the filtrate sample is introduced, to obtain a measuring instrument to be tested, wherein the dispersion power, dispersion time, constant temperature stabilization time, and constant temperature stabilization temperature are preset; Using a visual monitoring system to photograph the measuring instrument to be tested to obtain an image to be tested, and using an estimation method and the image to be tested to calculate a measurement value of the measuring instrument to be tested; The filtrate turbidity is calculated based on the starting value, the measured value and the filtrate mass.

[0010] Optionally, estimating the starting value using a pre-built estimation method, the first reference line, and the second reference line includes: Acquire an estimated area according to the first reference line and the second reference line, divide the estimated area using a preset accuracy, and obtain a unit estimation sequence, wherein the unit estimation sequence includes a plurality of unit estimation scales; Unit estimation scales are sequentially extracted from the unit estimation sequence, and the Euclidean distances between the extracted unit estimation scales and the boundary scale lines are calculated. The Euclidean distances are summarized to obtain a Euclidean distance set. The minimum Euclidean distance is extracted from the Euclidean distance set, and the unit estimation scale corresponding to the minimum Euclidean distance is identified to obtain a starting value.

[0011] Optionally, determining the cleaning parameters corresponding to the initial sewage sample based on the unit experimental data set includes: Unit experiment parameters are sequentially extracted from the unit experiment data set, and a parameter matrix is ​​constructed based on the extracted unit experiment parameters, wherein the parameter matrix is: Among them, represents the parameter matrix, represents the parameters corresponding to the th indicator type in the unit experimental parameters, represents the parameters corresponding to the th indicator type in the unit experimental parameters, and represents the th indicator type; Summarize and concatenate the parameter matrices to obtain the evaluation matrix corresponding to the unit experimental data set, extract column vectors from the evaluation matrix in sequence to obtain the indicator column vector, perform standardization on the extracted indicator column vectors to obtain the standard column vector, summarize and concatenate the standard column vectors to obtain the standard matrix; Calculate the weight corresponding to each indicator type in multiple indicator types based on the standard matrix to obtain multiple indicator type weights; An evaluation formula is constructed based on the weights of multiple indicator types, and the evaluation scores of all unit experimental parameters in the unit experimental data set are calculated using the evaluation formula. The evaluation scores are summarized to obtain an evaluation score set, wherein the evaluation score set includes multiple evaluation scores, and the evaluation scores correspond to the unit experimental parameters one by one; The highest evaluation score is extracted from the evaluation score set, and the unit experimental parameter corresponding to the highest evaluation score is determined to obtain the cleaning parameter.

[0012] Optionally, obtaining a ceramic membrane operation database includes: Acquire multiple sewage types and multiple treatment categories, wherein the multiple treatment categories include: filtration, backwashing, chemical cleaning, physical cleaning, precipitation, adsorption, oxidation, reduction, and separation; Performing a digitization operation on each of the plurality of processing categories using a pre-built digitization method to obtain a plurality of digitized categories, and extracting a first value set, a second value set, and other value sets from the plurality of digitized categories; Recursively extract one or more first representative values ​​from the first value set, and identify the one or more first representative values ​​in a pre-constructed first sequence to obtain an identified first sequence; Recursively extract one or more second representative values ​​from the second value set, and identify the one or more second representative values ​​in the pre-constructed second sequence to obtain an identified second sequence; Extracting other values ​​from the other value set in sequence, and constructing other value pairs based on the extracted other values, wherein the other value pairs include other values ​​and stored data, the stored data is preset to 0, and summarizing the other value pairs to obtain other value pair sets; A ceramic membrane operation database is constructed using the first sequence of identifiers, the second sequence of identifiers, other value pair sets, and the multiple sewage types.

[0013] Optionally, the step of constructing a ceramic membrane operation database using the first sequence of identifiers, the second sequence of identifiers, other value pair sets, and the multiple sewage types includes: Extract sewage types from the multiple sewage types in sequence to obtain target sewage types, and perform the following operations on the target sewage types: Acquire multiple treatment processes corresponding to the target sewage type, wherein the multiple treatment processes are included in the multiple treatment categories; Extract processing flows from multiple processing flows in sequence, and perform the following operations on the extracted processing flows: Identify the first value, the second value, and other values ​​corresponding to the extracted processing flow, identify and label the first value in the first identification sequence to obtain a first site corresponding to the first value, identify and label the second value in the second identification sequence to obtain a second site corresponding to the second value, identify and label other value pairs corresponding to the other values ​​in other value set pairs to obtain a third site, and sequentially connect the first site, the second site, and the third site to obtain an initial path corresponding to the extracted processing flow; Obtaining treatment parameters corresponding to the target sewage type in the extracted treatment process, and using the treatment parameters to update stored data corresponding to the third location, and updating the initial path based on the updated stored data to obtain a unit path; Summarize the unit paths corresponding to the target sewage type to obtain the unit ceramic membrane operation database corresponding to the target sewage type; The unit ceramic membrane operation database is summarized to obtain the ceramic membrane operation database corresponding to multiple target sewage types.

[0014] To achieve the above object, the present invention further provides a ceramic membrane high-efficiency filtration system for sewage treatment, comprising: a sewage characteristics acquisition module, configured to identify a ceramic membrane filtration environment comprising a ceramic membrane assembly, a self-cleaning unit, and auxiliary treatment equipment, receive a set of sewage to be treated based on the ceramic membrane filtration environment, obtain a sample to be tested based on the set of sewage to be treated, identify the sample to be tested using a pre-built water quality analysis unit, and obtain sewage characteristics; An operating parameter module is used to obtain a ceramic membrane operating database, import sewage characteristics into the ceramic membrane operating database, and obtain multiple operating parameters corresponding to the sewage characteristics; A cleaning ceramic membrane acquisition module is used to extract cleaning parameters from multiple operating parameters and import the cleaning parameters into a self-cleaning unit. Based on the imported cleaning parameters, the self-cleaning unit performs an online cleaning operation on the ceramic membrane assembly to obtain a cleaned ceramic membrane assembly; The auxiliary treatment equipment acquisition module is used to import multiple operating parameters after removing the cleaning parameters into the auxiliary treatment equipment, obtain the starting auxiliary treatment equipment, coordinate the operation of the cleaned ceramic membrane component with the starting auxiliary treatment equipment and perform a filtration operation on the wastewater to be treated to obtain purified wastewater, and complete the wastewater treatment based on ceramic membrane high-efficiency filtration based on the purified wastewater.

[0015] In order to solve the above problem, the present invention further provides an electronic device, comprising: A memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the above-mentioned ceramic membrane high-efficiency filtration method for sewage treatment.

[0016] In order to solve the above problems, the present invention also provides a computer-readable storage medium, which stores at least one instruction, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned ceramic membrane high-efficiency filtration method for sewage treatment.

[0017] The present invention addresses the problems described in the background art. The present invention identifies a ceramic membrane filtration environment, wherein the ceramic membrane filtration environment includes: a ceramic membrane assembly, a self-cleaning unit, and auxiliary treatment equipment. The ceramic membrane filtration environment receives a set of wastewater to be treated, obtains a sample to be tested based on the set of wastewater to be treated, and uses a pre-built water quality analysis unit to identify the sample to be tested, thereby obtaining wastewater characteristics. Different wastewater characteristics correspond to different treatment processes in actual wastewater treatment, so it is necessary to identify the wastewater characteristics. A ceramic membrane operation database is obtained, and after importing the wastewater characteristics into the ceramic membrane operation database, multiple operating parameters corresponding to the wastewater characteristics are obtained. Cleaning parameters are extracted from the multiple operating parameters and imported into the self-cleaning unit. Based on the imported cleaning parameters, the self-cleaning unit performs an online cleaning operation on the ceramic membrane assembly to obtain a cleaned ceramic membrane assembly. Regardless of the type of wastewater characteristics, online cleaning is required after filtration by the ceramic membrane assembly. However, different wastewater characteristics correspond to different cleaning parameters. Cleaning wastewater of the same type according to pre-set cleaning parameters can effectively improve the anti-fouling ability of the ceramic membrane, thereby extending the service life of the ceramic membrane. The multiple operating parameters after removing the cleaning parameters are imported into the auxiliary treatment equipment to obtain the startup auxiliary treatment equipment, the cleaned ceramic membrane assembly and the startup auxiliary treatment equipment are operated in coordination and a filtration operation is performed on the sewage to be treated to obtain purified sewage, and the sewage treatment based on the high-efficiency filtration of the ceramic membrane is completed based on the purified sewage. The treatment process of the target sewage characteristics and the treatment parameters corresponding to the treatment process are confirmed through experiments and stored in the ceramic membrane operation database, so that when receiving a large amount of the same sewage, the corresponding treatment process can be called from the ceramic membrane operation database, and then the treatment operations with different target sewage characteristics can be adapted. Therefore, the present invention can confirm the multiple treatment processes corresponding to the target sewage characteristics and the optimal treatment parameters corresponding to each treatment process from the ceramic membrane operation database based on the treatment tests conducted in advance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of a process for a high-efficiency filtration method of a ceramic membrane for sewage treatment according to an embodiment of the present invention; Figure 2 This is a functional module diagram of a ceramic membrane high-efficiency filtration system for sewage treatment provided by one embodiment of the present invention; Figure 3A schematic structural diagram of an electronic device for implementing the ceramic membrane high-efficiency filtration method for sewage treatment provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0019] The present invention provides a ceramic membrane high-efficiency filtration method and system for sewage treatment, the core of which is to significantly improve sewage treatment efficiency and economic benefits by optimizing the online cleaning mechanism, anti-pollution ability and system integration of the ceramic membrane. Figure 1 To the attached Figure 3 Specific embodiments of the present invention are described in detail.

[0020] First, in Figure 1 The figure shows a flow diagram of a high-efficiency ceramic membrane filtration method for wastewater treatment. The first step in this method is to identify the ceramic membrane filtration environment, which includes a ceramic membrane assembly, a self-cleaning unit, and auxiliary treatment equipment. In practical applications, the ceramic membrane assembly, as the core filtration component, is typically made of high-hardness, corrosion-resistant ceramic materials such as alumina or zirconia to ensure long-term stability. The self-cleaning unit, consisting of a high-pressure pump, a cleaning fluid storage tank, and an automatic control valve group, performs online cleaning of the ceramic membrane. Auxiliary treatment equipment includes sedimentation tanks, adsorption towers, and redox devices, which collaborate to achieve advanced wastewater treatment. After receiving the wastewater to be treated, the ceramic membrane filtration environment obtains a sample to be tested based on the wastewater collection. The sample is then identified using a pre-configured water quality analysis unit to determine the wastewater's characteristics. The water quality analysis unit can utilize a multi-parameter water quality analyzer that can rapidly measure key indicators such as suspended solids concentration, chemical oxygen demand (COD), and biochemical oxygen demand (BOD), providing a basis for subsequent treatment processes.

[0021] Next, the ceramic membrane operation database is obtained and the sewage characteristics are imported into the ceramic membrane operation database to obtain multiple operation parameters corresponding to the sewage characteristics. The construction process of the ceramic membrane operation database is shown in the attached figure. Figure 2 As shown, its functional modules include multiple sewage types and multiple treatment categories. Multiple treatment categories include filtration, backwashing, chemical cleaning, physical cleaning, precipitation, adsorption, oxidation, reduction and separation. These treatment categories are converted into the first value set, the second value set and other value sets through a numerical method, and the representative values ​​are identified in the pre-constructed first sequence and the second sequence respectively to form the first identification sequence and the second identification sequence. Other values ​​are extracted in turn from the other value sets and other value pairs are constructed, which are summarized to form other value pair sets. Finally, the ceramic membrane operation database is constructed using the first identification sequence, the second identification sequence, other value pair sets and multiple sewage types. The core function of the database is to store the treatment processes and optimal treatment parameters corresponding to different sewage types so that they can be quickly called in actual operation.

[0022] After extracting the cleaning parameters from the multiple operating parameters, the cleaning parameters are imported into the self-cleaning unit, and the self-cleaning unit performs an online cleaning operation on the ceramic membrane module based on the imported cleaning parameters. The cleaning parameter determination process is shown in the attached figure. Figure 1 As shown, a target pressure sequence is first obtained. Target pressures are sequentially extracted from the target pressure sequence. The following operations are performed on each extracted target pressure: an initial sewage sample is obtained based on the extracted target pressure and a pre-constructed simulated sewage sample. A pre-set concentration of pollutants is added to the initial sewage sample to obtain a test sewage sample. The test sewage sample is then aliquoted to obtain multiple unit sewage samples. The following operations are performed on each of the multiple unit sewage samples: a target flow rate is extracted from a pre-set flow gradient sequence. The unit sewage sample is introduced into a ceramic membrane module, and the module is activated using the target flow rate and a pre-set filtration time. The activated ceramic membrane module filters the unit sewage sample in the ceramic membrane module, and the filtered unit sewage sample is allowed to stand to obtain a static stratified sample. A filtrate sample is then extracted from the static stratified sample. The filtrate turbidity of the filtrate sample is measured using a pre-constructed turbidity detection method. Unit experimental parameters are then constructed based on the filtrate turbidity, where the unit experimental parameters include filtrate turbidity, target flow rate, filtration time, and target pressure. After summarizing the unit experimental parameters, a unit experimental dataset is obtained. Based on the unit experimental dataset, cleaning parameters corresponding to the initial sewage sample are determined.

[0023] The specific implementation process of the turbidity detection method is as follows: first, an initial turbidity meter is obtained, and the initial turbidity meter is calibrated using a pre-built calibration method to obtain a calibrated turbidity meter. A pre-built standard solution is introduced into the calibration turbidity meter, and a constant temperature stabilization operation is performed on the calibration turbidity meter after the standard solution is introduced to obtain a stable meter. The stable meter is photographed using a pre-built visual monitoring system to obtain an initial measurement image, wherein the initial measurement image includes a calibration scale line provided on the stable meter. After performing a pre-processing operation on the initial measurement image, a binary measurement image is obtained, and the liquid surface boundary of the standard solution is identified from the binary measurement image to obtain a boundary scale line, and a first reference line and a second reference line are extracted from the calibration scale line based on the boundary scale line. The pre-processing operation includes noise reduction, grayscale and binarization. The starting value is estimated using a pre-built estimation method, a first reference line and a second reference line. The specific estimation method is as follows: let the distance between the first reference line and the second reference line be D, and the estimation area is divided into N unit estimation scales. Then the Euclidean distance between the i-th unit estimation scale and the boundary scale line is , calculate all Minimum value of , and confirm The corresponding unit estimated scale is used as the starting value. After weighing the filtrate sample, the weighed filtrate sample is introduced into a stable measuring instrument. Ultrasonic dispersion and constant temperature stabilization are performed on the stable measuring instrument after the filtrate sample is introduced to obtain the measuring instrument under test. The measuring instrument under test is photographed using a visual monitoring system to obtain an image of the measuring instrument under test. The measurement value of the measuring instrument under test is calculated using the estimation method and the image under test. Finally, the filtrate turbidity is calculated based on the starting value, the measured value, and the filtrate mass. The calculation formula is: Turbidity = (Measured Value - Starting Value) / Filtrate Mass × K, where K is the calibration factor.

[0024] In the process of confirming the cleaning parameters corresponding to the initial sewage sample based on the unit experimental data set, the unit experimental parameters are first extracted from the unit experimental data set in sequence, and a parameter matrix is ​​constructed based on the extracted unit experimental parameters. The parameter matrix is ​​in the form of ,in Represents the parameter corresponding to the jth indicator type in the unit experimental parameter, and i represents the number of the unit experimental parameter. After summarizing and splicing the parameter matrix, the evaluation matrix corresponding to the unit experimental data set is obtained. Extract column vectors from the evaluation matrix in sequence to obtain indicator column vectors, perform standardization operations on the extracted indicator column vectors to obtain standard column vectors, and summarize and splice the standard column vectors to obtain a standard matrix. Based on the standard matrix, calculate the weight corresponding to each indicator type in multiple indicator types to obtain multiple indicator type weights. The weight calculation formula is: ,in represents the weight of the j-th indicator type, represents the variance of the j-th indicator type, Represents the sum of the variances of all indicator types. An evaluation formula is constructed based on the weights of multiple indicator types. The evaluation formula is used to calculate the evaluation scores of all unit experimental parameters in the unit experimental data set. After summarizing the evaluation scores, an evaluation score set is obtained. The evaluation formula is: , where S represents the evaluation score, Represents the normalized value of the jth indicator type in the i-th unit experimental parameter. Extract the highest evaluation score from the evaluation score set, and identify the unit experimental parameter corresponding to the highest evaluation score to obtain the cleaning parameter.

[0025] After the multiple operating parameters after removing the cleaning parameters are imported into the auxiliary treatment equipment, the auxiliary treatment equipment is started, and the cleaned ceramic membrane assembly and the started auxiliary treatment equipment are operated in coordination and a filtration operation is performed on the wastewater to be treated to obtain purified wastewater. Based on the purified wastewater, the wastewater treatment based on high-efficiency filtration of ceramic membranes is completed. The specific operating principle of the auxiliary treatment equipment is as follows: First, the treatment process and corresponding parameters in the ceramic membrane operation database are called according to the characteristics of the wastewater. For example, for wastewater containing high concentrations of organic pollutants, the adsorption tower must be started first to perform organic adsorption treatment, followed by entering the redox device for deep degradation, and finally the solid-liquid separation is completed by the ceramic membrane assembly. Throughout the entire process, the ceramic membrane assembly and the auxiliary treatment equipment are coordinated and controlled through the data communication interface to ensure that the operating status of each device is synchronized in real time. In addition, the online cleaning operation of the ceramic membrane assembly can dynamically adjust the cleaning frequency according to the real-time monitoring of membrane flux changes, thereby further improving the operating efficiency of the system.

[0026] Figure 2 The functional module diagram of a high-efficiency ceramic membrane filtration system for wastewater treatment is presented. It primarily includes a wastewater characteristics acquisition module, an operating parameter module, a ceramic membrane cleaning acquisition module, and an auxiliary treatment equipment acquisition module. The wastewater characteristics acquisition module is responsible for confirming the ceramic membrane filtration environment and acquiring wastewater characteristics; the operating parameter module accesses the ceramic membrane operation database and generates multiple operating parameters; the ceramic membrane cleaning acquisition module extracts cleaning parameters and performs online cleaning of the ceramic membrane assembly; and the auxiliary treatment equipment acquisition module activates auxiliary treatment equipment and coordinates its operation with the ceramic membrane assembly. Information exchange between these modules is achieved through a data bus, ensuring efficient system operation.

[0027] Figure 3 A schematic diagram of an electronic device for implementing the described high-efficiency ceramic membrane filtration method for sewage treatment is shown. The electronic device includes a memory and a processor. The memory is used to store at least one instruction, and the processor is used to execute the instructions stored in the memory to implement the described high-efficiency ceramic membrane filtration method. The memory can be a high-speed solid-state drive, and the processor can be a multi-core central processing unit to meet the computational requirements of complex algorithms. In addition, the electronic device is equipped with a network interface for data communication with external devices, enabling remote monitoring and management.

[0028] In summary, this invention significantly improves wastewater treatment efficiency and economic benefits by optimizing the ceramic membrane's online cleaning mechanism, anti-pollution capabilities, and system integration. The construction of a ceramic membrane operation database provides a scientific basis for treating different wastewater types, while detailed turbidity detection methods and cleaning parameter determination procedures ensure system reliability and accuracy. Experimental verification demonstrates that this invention demonstrates excellent performance in practical applications, is adaptable to complex wastewater treatment requirements, and has broad application prospects.

Claims

1. A ceramic membrane high efficiency filtration method for sewage treatment, characterized in that: The method comprises: Confirming the ceramic membrane filtration environment, wherein the ceramic membrane filtration environment includes: a ceramic membrane assembly, a self-cleaning unit, and auxiliary processing equipment; receiving a set of sewage to be treated based on a ceramic membrane filtration environment, obtaining a sample to be tested based on the set of sewage to be treated, identifying the sample to be tested using a pre-built water quality analysis unit, and obtaining sewage characteristics; Obtaining a ceramic membrane operation database, importing sewage characteristics into the ceramic membrane operation database, and obtaining multiple operation parameters corresponding to the sewage characteristics; Extracting cleaning parameters from a plurality of operating parameters, importing the cleaning parameters into a self-cleaning unit, and performing an online cleaning operation on the ceramic membrane assembly based on the self-cleaning unit after importing the cleaning parameters to obtain a cleaned ceramic membrane assembly; The multiple operating parameters after removing the cleaning parameters are imported into the auxiliary treatment equipment to obtain the startup auxiliary treatment equipment, the cleaned ceramic membrane assembly and the startup auxiliary treatment equipment are coordinated to operate and perform a filtration operation on the wastewater to be treated to obtain purified wastewater, and the wastewater treatment based on high-efficiency filtration of ceramic membranes is completed based on the purified wastewater.

2. The ceramic membrane high-efficiency filtration method for sewage treatment according to claim 1, characterized in that: Before obtaining the ceramic membrane operation database, the method further includes: Obtain a target pressure sequence, extract target pressures from the target pressure sequence in sequence, and perform the following operations on each extracted target pressure: An initial sewage sample is obtained based on the extracted target pressure and pre-constructed simulated sewage, a pollutant of a preset concentration is added to the initial sewage sample to obtain a sewage sample to be tested, and the sewage sample to be tested is equally divided to obtain a plurality of unit sewage samples; The following operations are performed on each unit sewage sample in the multiple unit sewage samples: A target flow rate is extracted from a preset flow gradient sequence, a unit sewage sample is introduced into the ceramic membrane assembly, the ceramic membrane assembly is started using the target flow rate and a preset filtration time, a filtering operation is performed on the unit sewage sample in the ceramic membrane assembly using the started ceramic membrane assembly, and the filtered unit sewage sample is allowed to stand to obtain a stationary stratified sample, and a filtrate sample is extracted from the stationary stratified sample; Using a pre-established turbidity detection method to detect the filtrate turbidity of the filtrate sample, and establishing unit experimental parameters based on the filtrate turbidity, wherein the unit experimental parameters include: filtrate turbidity, target flow rate, filtration time, and target pressure; Summarize the unit experiment parameters to obtain the unit experiment data set; The cleaning parameters corresponding to the initial sewage sample were determined based on the unit experimental data set.

3. The ceramic membrane high-efficiency filtration method for sewage treatment according to claim 2, characterized in that: The method of detecting the turbidity of the filtrate sample using a pre-established turbidity detection method comprises: obtaining an initial turbidity meter, and calibrating the initial turbidity meter using a pre-established calibration method to obtain a calibrated turbidity meter; introducing a pre-constructed standard solution into a calibration turbidity meter, performing a constant temperature stabilization operation on the calibration turbidity meter after the standard solution has been introduced to obtain a stabilized meter, and photographing the stabilized meter using a pre-constructed visual monitoring system to obtain an initial measurement image, wherein the initial measurement image includes calibration scale lines provided on the stabilized meter; After performing a preprocessing operation on the initial measurement image, a binary measurement image is obtained, a liquid surface boundary of the standard solution is identified from the binary measurement image, a boundary scale line is obtained, and a first reference line and a second reference line are extracted from the calibration scale line based on the boundary scale line, wherein the preprocessing operation includes: noise reduction, grayscale conversion, and binarization; Estimate a starting value using a pre-built estimation method, a first reference line, and a second reference line; Weighing the filtrate sample to obtain the mass of the filtrate, introducing the weighed filtrate sample into a stable measuring instrument, performing ultrasonic dispersion and constant temperature stabilization operations on the stable measuring instrument after the filtrate sample is introduced, to obtain a measuring instrument to be tested, wherein the dispersion power, dispersion time, constant temperature stabilization time, and constant temperature stabilization temperature are preset; Using a visual monitoring system to photograph the measuring instrument to be tested to obtain an image to be tested, and using an estimation method and the image to be tested to calculate a measurement value of the measuring instrument to be tested; The filtrate turbidity is calculated based on the starting value, the measured value and the filtrate mass.

4. The ceramic membrane high-efficiency filtration method for sewage treatment according to claim 3, characterized in that: The estimating the starting value using the pre-built estimation method, the first reference line, and the second reference line includes: Acquire an estimated area according to the first reference line and the second reference line, divide the estimated area using a preset accuracy, and obtain a unit estimation sequence, wherein the unit estimation sequence includes a plurality of unit estimation scales; Unit estimation scales are sequentially extracted from the unit estimation sequence, and the Euclidean distances between the extracted unit estimation scales and the boundary scale lines are calculated. The Euclidean distances are summarized to obtain a Euclidean distance set. The minimum Euclidean distance is extracted from the Euclidean distance set, and the unit estimation scale corresponding to the minimum Euclidean distance is identified to obtain a starting value.

5. The ceramic membrane high-efficiency filtration method for sewage treatment according to claim 2, characterized in that: The cleaning parameters corresponding to the initial sewage sample are determined based on the unit experimental data set, including: Unit experiment parameters are sequentially extracted from the unit experiment data set, and a parameter matrix is ​​constructed based on the extracted unit experiment parameters, wherein the parameter matrix is: Among them, represents the parameter matrix, represents the parameters corresponding to the th indicator type in the unit experimental parameters, represents the parameters corresponding to the th indicator type in the unit experimental parameters, and represents the th indicator type; Summarize and concatenate the parameter matrices to obtain the evaluation matrix corresponding to the unit experimental data set, extract column vectors from the evaluation matrix in sequence to obtain the indicator column vector, perform standardization on the extracted indicator column vectors to obtain the standard column vector, summarize and concatenate the standard column vectors to obtain the standard matrix; Calculate the weight corresponding to each indicator type in multiple indicator types based on the standard matrix to obtain multiple indicator type weights; An evaluation formula is constructed based on the weights of multiple indicator types, and the evaluation scores of all unit experimental parameters in the unit experimental data set are calculated using the evaluation formula. The evaluation scores are summarized to obtain an evaluation score set, wherein the evaluation score set includes multiple evaluation scores, and the evaluation scores correspond to the unit experimental parameters one by one; The highest evaluation score is extracted from the evaluation score set, and the unit experimental parameter corresponding to the highest evaluation score is determined to obtain the cleaning parameter.

6. The ceramic membrane high-efficiency filtration method for sewage treatment according to claim 1, characterized in that: The obtaining of the ceramic membrane operation database includes: Acquire multiple sewage types and multiple treatment categories, wherein the multiple treatment categories include: filtration, backwashing, chemical cleaning, physical cleaning, precipitation, adsorption, oxidation, reduction, and separation; Performing a digitization operation on each of the plurality of processing categories using a pre-built digitization method to obtain a plurality of digitized categories, and extracting a first value set, a second value set, and other value sets from the plurality of digitized categories; Recursively extract one or more first representative values ​​from the first value set, and identify the one or more first representative values ​​in a pre-constructed first sequence to obtain an identified first sequence; Recursively extract one or more second representative values ​​from the second value set, and identify the one or more second representative values ​​in the pre-constructed second sequence to obtain an identified second sequence; Extracting other values ​​from the other value set in sequence, and constructing other value pairs based on the extracted other values, wherein the other value pairs include other values ​​and stored data, the stored data is preset to 0, and summarizing the other value pairs to obtain other value pair sets; A ceramic membrane operation database is constructed using the first sequence of identifiers, the second sequence of identifiers, other value pair sets, and the multiple sewage types.

7. The ceramic membrane high-efficiency filtration method for sewage treatment according to claim 6, characterized in that: The method of constructing a ceramic membrane operation database using the first sequence of identifiers, the second sequence of identifiers, other value pair sets, and the multiple sewage types includes: Extract sewage types from the multiple sewage types in sequence to obtain target sewage types, and perform the following operations on the target sewage types: Acquire multiple treatment processes corresponding to the target sewage type, wherein the multiple treatment processes are included in the multiple treatment categories; Extract processing flows from multiple processing flows in sequence, and perform the following operations on the extracted processing flows: Identify the first value, the second value, and other values ​​corresponding to the extracted processing flow, identify and label the first value in the first identification sequence to obtain a first site corresponding to the first value, identify and label the second value in the second identification sequence to obtain a second site corresponding to the second value, identify and label other value pairs corresponding to the other values ​​in other value set pairs to obtain a third site, and sequentially connect the first site, the second site, and the third site to obtain an initial path corresponding to the extracted processing flow; Obtaining treatment parameters corresponding to the target sewage type in the extracted treatment process, and using the treatment parameters to update stored data corresponding to the third location, and updating the initial path based on the updated stored data to obtain a unit path; Summarize the unit paths corresponding to the target sewage type to obtain the unit ceramic membrane operation database corresponding to the target sewage type; The unit ceramic membrane operation database is summarized to obtain the ceramic membrane operation database corresponding to multiple target sewage types.

8. A ceramic membrane high efficiency filtration system for sewage treatment, characterized in that: The system comprises: a sewage characteristics acquisition module, configured to identify a ceramic membrane filtration environment comprising a ceramic membrane assembly, a self-cleaning unit, and auxiliary treatment equipment, receive a set of sewage to be treated based on the ceramic membrane filtration environment, obtain a sample to be tested based on the set of sewage to be treated, identify the sample to be tested using a pre-built water quality analysis unit, and obtain sewage characteristics; An operating parameter module is used to obtain a ceramic membrane operating database, import sewage characteristics into the ceramic membrane operating database, and obtain multiple operating parameters corresponding to the sewage characteristics; A cleaning ceramic membrane acquisition module is used to extract cleaning parameters from multiple operating parameters and import the cleaning parameters into a self-cleaning unit. Based on the imported cleaning parameters, the self-cleaning unit performs an online cleaning operation on the ceramic membrane assembly to obtain a cleaned ceramic membrane assembly; The auxiliary treatment equipment acquisition module is used to import multiple operating parameters after removing the cleaning parameters into the auxiliary treatment equipment, obtain the starting auxiliary treatment equipment, coordinate the operation of the cleaned ceramic membrane component with the starting auxiliary treatment equipment and perform a filtration operation on the wastewater to be treated to obtain purified wastewater, and complete the wastewater treatment based on ceramic membrane high-efficiency filtration based on the purified wastewater.

9. The ceramic membrane high-efficiency filtration system for sewage treatment according to claim 8, characterized in that: The ceramic membrane assembly is made of alumina or zirconia material, the self-cleaning unit includes a high-pressure pump, a cleaning liquid storage tank and an automatic control valve group, and the auxiliary treatment equipment includes a sedimentation tank, an adsorption tower and an oxidation-reduction device.

10. An electronic device, characterized in that: The electronic device comprises: A memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the ceramic membrane high-efficiency filtration method for sewage treatment as described in any one of claims 1 to 7.

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