Membrane element cleaning method and device
Through the automated membrane component cleaning method, target reagents are selected using soil blocking state detection data and pre-cleaning transmittance data, which solves the problem of manual operation dependence in the prior art, and achieves a more efficient and accurate membrane component cleaning process.
Patent Information
- Application Number
- CN202411751404.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-02
- Publication Date
- 2025-03-11
AI Technical Summary
The existing membrane component cleaning technology relies on manual operation, and there are problems such as high dependence on experience, complex processes, low efficiency, poor accuracy and high labor costs.
By obtaining the stain state detection data of the membrane element, the stain condition is automatically determined, and the target reagent is selected based on the pre-cleaning transmittance data to perform automated cleaning operations.
Reliance on operator experience has been reduced, operating steps have been simplified, cleaning efficiency and accuracy have been improved, and labor costs have been reduced.
Smart Images
Figure CN119588167A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present application relate to the field of water treatment technology, and in particular to a membrane element cleaning method and device. Background Art
[0002] Membrane element cleaning is mainly used for water purification to restore the permeability of membrane elements. At present, in the relevant technology, membrane element cleaning mainly relies on manual operation. The above method has the problems of high dependence on the operating experience of operators, complex membrane element cleaning process, low membrane element cleaning efficiency, poor precision, and high labor cost in the membrane element cleaning process.
[0003] Therefore, a new technical solution is urgently needed to solve the above technical problems. Summary of the invention
[0004] According to the embodiments of the present application, a membrane element cleaning method and device are provided, which are beneficial to reducing the dependence of membrane element cleaning on the operating experience of operators, simplifying the membrane element cleaning operation steps, improving the membrane element cleaning efficiency and accuracy, and reducing the labor cost of the membrane element cleaning process.
[0005] In a first aspect of the present application, a membrane element cleaning method comprises:
[0006] Acquiring fouling state detection data of a target membrane element, wherein the fouling state detection data includes: water production data of the target membrane element, pressure data of the target membrane element, and / or salt rejection rate data of the target membrane element;
[0007] When the fouling detection data indicates that the target membrane element is fouled,
[0008] Determine the target reagent based on the pre-cleaning permeability data of the target membrane element;
[0009] Based on the target reagent, a corresponding target cleaning operation is performed on the target membrane element.
[0010] In some feasible implementations, the target reagent is determined based on the pre-cleaning permeability data of the target membrane element, including:
[0011] Based on a variety of preset reagents, a pre-cleaning operation is performed on the target membrane element to obtain pre-cleaning permeability data;
[0012] When the pre-cleaning transmittance data corresponding to the preset reagent is the largest, the preset reagent is determined to be the target reagent.
[0013] In some feasible implementations, the above method further includes:
[0014] Determine the fouling type of the target membrane element based on the target reagent;
[0015] Determine the order of adding multiple target reagents according to the type of fouling;
[0016] According to the order of addition, the corresponding target cleaning operation is performed on the target reagent.
[0017] In some feasible implementations, the above method further includes:
[0018] Recording historical cleaning data of the target membrane element, wherein the historical cleaning data includes: historical cleaning times data and permeability data corresponding to the historical cleaning times data;
[0019] Determine the permeability change curve of the target membrane element based on historical cleaning data;
[0020] According to the transmittance change curve, the life cycle of the target membrane element is predicted.
[0021] In some feasible implementations, the above method further includes:
[0022] When it is determined according to the transmittance variation curve that the transmittance of the target membrane element is less than or equal to the preset transmittance, a reminder of the near expiration of the life of the target membrane element is generated.
[0023] In some feasible implementations, the historical cleaning data further includes: target reagent type data, target reagent concentration data, and / or cleaning time data corresponding to the historical cleaning number data;
[0024] The life cycle is corrected based on the species data, concentration data, and / or cleaning duration data.
[0025] In some feasible implementations, the method as described in any of the above items further includes:
[0026] According to the preset transmittance, pH values of the multiple reagents, and material composition of the target membrane element, determine the target cleaning operation performed by the multiple reagents on the target membrane element so that the transmittance of the target membrane element is greater than or equal to the life extension parameter, damage parameter, and transmittance recovery parameter corresponding to the preset transmittance;
[0027] The target reagent is determined based on the life extension parameters, damage parameters and transmittance recovery parameters.
[0028] In a second aspect of the present application, a membrane element cleaning device is provided, comprising:
[0029] The acquisition unit 210 is used to acquire the fouling state detection data of the target membrane element, wherein the fouling state detection data includes: the water production data of the target membrane element, the pressure data of the target membrane element, and / or the salt rejection rate data of the target membrane element;
[0030] A determination unit 220, for determining a target reagent according to pre-cleaning permeability data of the target membrane element when it is determined that the target membrane element is blocked according to the blockage state detection data;
[0031] The cleaning unit 230 is used to perform a corresponding target cleaning operation on a target membrane element based on a target reagent.
[0032] In a third aspect of the present application, an electronic device is provided, comprising a processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions are used to execute the membrane element cleaning method as described in any one of the above items when the processor is running.
[0033] In a fourth aspect of the present application, a computer-readable medium is further provided, on which program instructions are stored, and the program instructions are used to execute the membrane element cleaning method as described in any one of the above items when running.
[0034] The membrane element cleaning method and device provided in the embodiment of the present application, wherein the method comprises: obtaining fouling state detection data of the target membrane element, wherein the fouling state detection data comprises: water production data of the target membrane element, pressure data of the target membrane element, and / or desalination rate data of the target membrane element; when it is determined that the target membrane element is fouled according to the fouling state detection data, the target reagent is determined according to the pre-cleaning permeability data of the target membrane element; based on the target reagent, the corresponding target cleaning operation is performed on the target membrane element. The present application is conducive to reducing the dependence of membrane element cleaning on the operating experience of the operator, simplifying the membrane element cleaning operation steps, improving the efficiency and accuracy of membrane element cleaning, and reducing the labor cost of the membrane element cleaning process.
[0035] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:
[0037] Figure 1 A schematic diagram of a membrane element cleaning method provided in an embodiment of the present application;
[0038] Figure 2 A structural schematic diagram of a membrane element cleaning device provided in an embodiment of the present application;
[0039] Figure 3A structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0040] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.
[0041] In addition, the term "and / or" in this article is only a description of the association relationship between the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.
[0042] According to a first aspect of an embodiment of the present application, a membrane element cleaning method is provided. Figure 1 A schematic diagram of a membrane element cleaning method 100 provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method 100 includes:
[0043] Step S1: Obtain fouling status detection data of a target membrane element, wherein the fouling status detection data includes: water production data of the target membrane element, pressure data of the target membrane element, and / or salt rejection rate data of the target membrane element.
[0044] Exemplarily, the water production data of the target membrane element may include: the water production data of the target membrane element at the current moment and the initial water production data of the target membrane element.
[0045] Exemplarily, the target membrane element pressure data may include: current target membrane element inlet pressure data, current target membrane element concentrate pressure data, target membrane element initial inlet pressure data, and target membrane element initial concentrate pressure data.
[0046] Exemplarily, the above-mentioned desalination rate data may include: desalination rate data of the target membrane element at the current moment and initial desalination rate data of the target membrane element.
[0047] In some feasible implementations, the above-mentioned fouling state detection data may be obtained based on a programmable logic controller (PLC). Alternatively, the above-mentioned fouling state detection data may also be obtained based on a preset instrument.
[0048] Step S2: When it is determined that the target membrane element is blocked by fouling according to the fouling state detection data, the target reagent is determined according to the pre-cleaning permeability data of the target membrane element.
[0049] Exemplarily, when the water production of the target membrane element at the current moment is less than the product of the initial water production of the target membrane element and the first preset threshold, it can be determined that the target membrane element is fouled, wherein the value range of the above-mentioned first preset threshold can be greater than or equal to 10% and less than or equal to 15%.
[0050] Exemplarily, and / or, when the difference between the inlet water pressure of the target membrane element at the current moment and the concentrated water pressure of the target membrane element at the current moment is greater than the product of the difference between the initial inlet water pressure of the target membrane element and the initial concentrated water pressure of the target membrane element and a second preset threshold, it can be determined that the target membrane element is blocked by fouling, wherein the value range of the above-mentioned second preset threshold can be greater than or equal to 10% and less than or equal to 15%.
[0051] For example, and / or, when the desalination rate of the target membrane element at the current moment is greater than the product of the initial desalination rate of the target membrane element and the third preset threshold, it can be determined that the target membrane element is fouled. The value of the third preset threshold can be 5%.
[0052] It should be noted that, when it is determined that the target membrane element is blocked by dirt, an alarm mechanism can be automatically triggered to inform the corresponding staff that the target membrane element is about to perform a target cleaning operation. Specifically, the reminder that the target membrane element is about to perform a target cleaning operation can be sent to the mobile terminal bound to the corresponding staff by SMS, email, etc., so that the staff can control the cleaning status of the target membrane element in real time.
[0053] In some feasible implementations, the target reagent is determined based on the pre-cleaning transmittance data of the target membrane element, including: based on multiple preset reagents, performing a pre-cleaning operation on the target membrane element to obtain pre-cleaning transmittance data; when the pre-cleaning transmittance data corresponding to the preset reagent is the largest, determining the preset reagent as the target reagent.
[0054] Exemplarily, a plurality of preset reagents can be generated by mixing the standard liquid in the medicine barrel with tap water according to a preset fixed ratio through a metering pump, and a pre-cleaning operation can be performed on the target membrane element based on the plurality of preset reagents to obtain the pre-cleaning permeability change data of the target membrane element after the plurality of preset reagents perform the pre-cleaning operation on the target membrane element, so as to determine the cleaning ability of the plurality of preset reagents on the fouling of the target membrane element. When the permeability of the target membrane element changes the most after the current preset reagent performs the pre-cleaning operation on the target membrane element, the current preset reagent has the strongest cleaning ability on the fouling of the target element, and the current preset reagent is determined to be the target reagent.
[0055] It should be noted that the above-mentioned multiple preset reagents may include: ethylenediaminetetraacetic acid sodium salt solution with a pH value of 2; phosphoric acid solution with a pH value of 2; citric acid solution with a pH value of 2.5; 0.4% hydrochloric acid solution with a pH value greater than or equal to 1.0 and less than or equal to 2.0; a mixed solution of 0.1% ethylenediaminetetraacetic acid sodium salt solution and 0.4% hydrochloric acid solution; a mixed solution of a surfactant and sodium hydroxide with a pH value of 12.0; a mixed solution of ethylenediaminetetraacetic acid sodium salt and sodium phosphate; peracetic acid solution; a pH value of 12. 0% mixed solution of ethylenediaminetetraacetic acid sodium salt solution and sodium hydroxide; a mixed solution of 0.1% sodium dodecyl sulfate and sulfuric acid with a pH value of 7.0; 0.4% diamine amine solution; a mixed solution of 0.4% hydrochloric acid and 0.1% hydrofluoric acid; a mixed solution of 2% disodium hydrogen phosphate and sodium dodecyl sulfate with a pH value of 10.0, wherein the concentration of sodium dodecyl sulfate is greater than or equal to 0.25% and less than or equal to 0.5%; and / or, a mixed solution of 0.8% ethylenediaminetetraacetic acid sodium salt solution and 2% sodium dipolyphosphate solution, etc.
[0056] Based on this, the above method can realize automatic selection of target reagents based on pre-cleaning permeability data corresponding to multiple preset reagents to perform cleaning operations on target membrane elements, which is beneficial to reduce the dependence of the target reagent selection process on the operator's experience and is beneficial to improving the selection accuracy and efficiency of the target reagent.
[0057] Step S3: Based on the target reagent, perform a corresponding target cleaning operation on the target membrane element.
[0058] It should be noted that, based on the above target reagent, a corresponding cleaning temperature and / or cleaning time etc. may be determined to perform a corresponding target cleaning operation on the target membrane element.
[0059] Based on this, the membrane element cleaning method provided by the present application includes: obtaining the fouling state detection data of the target membrane element, wherein the fouling state detection data includes: the water production data of the target membrane element, the pressure data of the target membrane element, and / or the desalination rate data of the target membrane element; when it is determined that the target membrane element is fouled according to the fouling state detection data, the target reagent is determined according to the pre-cleaning permeability data of the target membrane element; based on the target reagent, the corresponding target cleaning operation is performed on the target membrane element. The present application is conducive to automatically determining the fouling state of the target membrane element according to the fouling state detection data, and when it is determined that the target membrane element is fouled, the target reagent is automatically and accurately determined according to the pre-cleaning permeability data of the standard membrane element, and the corresponding target cleaning operation is automatically performed on the target membrane element based on the above target reagent, which is conducive to reducing the dependence of the entire membrane element cleaning process on the operating experience of the operator, simplifying the membrane element cleaning operation steps, improving the membrane element cleaning efficiency and accuracy, and reducing the labor cost of the membrane element cleaning process.
[0060] In some feasible implementations, the above method further includes: determining the fouling type of the target membrane element according to the target reagent; determining the order of adding multiple target reagents according to the fouling type; and performing corresponding target cleaning operations on the target reagents according to the order of addition.
[0061] It should be noted that the above-mentioned fouling types may include: metal oxide fouling, calcium and magnesium scale fouling, organic colloid fouling, bacterial microorganism fouling, grease fouling, silicon scale fouling, and / or composite fouling, etc.
[0062] Exemplarily, when the pre-cleaning operation of the target membrane element by the sodium salt solution of ethylenediaminetetraacetic acid with a pH value of 2 or the phosphoric acid solution with a pH value of 2 is the best, that is, after the pre-cleaning operation of the target membrane element by the sodium salt solution of ethylenediaminetetraacetic acid with a pH value of 2 or the phosphoric acid solution with a pH value of 2, the permeability change data of the target membrane element is the largest, then the fouling type is determined to be metal oxide fouling. The above-mentioned metal oxide fouling may include: oxide fouling corresponding to metal manganese, such as manganese dioxide fouling; oxide fouling corresponding to metal iron, such as iron oxide fouling, ferroferric oxide fouling, etc.
[0063] Exemplarily, when a citric acid solution with a pH value of 2.5, or a 0.4% hydrochloric acid solution with a pH value greater than or equal to 1.0 and less than or equal to 2.0, or a mixed solution of 0.1% sodium salt of ethylenediaminetetraacetic acid solution and 0.4% hydrochloric acid solution has the best pre-cleaning effect on the target membrane element, that is, after the pre-cleaning operation of the target membrane element by a citric acid solution with a pH value of 2.5, or a 0.4% hydrochloric acid solution with a pH value greater than or equal to 1.0 and less than or equal to 2.0, or a mixed solution of 0.1% sodium salt of ethylenediaminetetraacetic acid solution and 0.4% hydrochloric acid solution, the permeability change data of the target membrane element is the largest, then the fouling type is determined to be calcium-magnesium scale fouling. The above-mentioned calcium-magnesium scale fouling may include: calcium carbonate fouling, calcium sulfate fouling, magnesium hydroxide fouling, etc.
[0064] Exemplarily, when a mixed solution of a surfactant and sodium hydroxide with a pH value of 12.0, or a mixed solution of sodium salt of ethylenediaminetetraacetic acid and sodium phosphate, has the best pre-cleaning operation effect on the target membrane element, that is, when the permeability change data of the target membrane element is the largest after the pre-cleaning operation on the target membrane element with a mixed solution of a surfactant and sodium hydroxide with a pH value of 12.0, or a mixed solution of sodium salt of ethylenediaminetetraacetic acid and sodium phosphate, the fouling type is determined to be organic colloid fouling.
[0065] Exemplarily, when the pre-cleaning operation of the target membrane element with a peracetic acid solution and a mixed solution of a sodium salt solution of ethylenediaminetetraacetic acid with a pH value of 12.0 and sodium hydroxide is the best, that is, after the pre-cleaning operation of the target membrane element with a peracetic acid solution and a mixed solution of a sodium salt solution of ethylenediaminetetraacetic acid with a pH value of 12.0 and sodium hydroxide, the permeability change data of the target membrane element is the largest, then the fouling type is determined to be bacterial microbial fouling.
[0066] Exemplarily, the pre-cleaning operation of the target membrane element with a mixed solution of 0.1% sodium dodecyl sulfate and sulfuric acid at a pH value of 7.0 has the best effect. That is, after the pre-cleaning operation of the target membrane element with a mixed solution of 0.1% sodium dodecyl sulfate and sulfuric acid at a pH value of 7.0, when the permeability change data of the target membrane element is the largest, the fouling type is determined to be grease fouling.
[0067] Exemplarily, when the pre-cleaning operation of the target membrane element with 0.4% diamine solution, or a mixed solution of 0.4% hydrochloric acid and 0.1% hydrofluoric acid has the best effect, that is, after the pre-cleaning operation of the target membrane element with 0.4% diamine solution, or a mixed solution of 0.4% hydrochloric acid and 0.1% hydrofluoric acid, the permeability change data of the target membrane element is the largest, then the fouling type is determined to be silica scale fouling.
[0068] Exemplarily, when the pre-cleaning operation of the target membrane element is best with a mixed solution of 2% disodium hydrogen phosphate and sodium dodecyl sulfate at a pH value of 10.0, that is, after the pre-cleaning operation of the target membrane element with a mixed solution of 2% disodium hydrogen phosphate and sodium dodecyl sulfate at a pH value of 10.0, the permeability change data of the target membrane element is the largest, then the fouling type is determined to be composite fouling. The composite fouling includes: organic colloid fouling, bacterial microbial fouling, grease fouling, and / or silica scale fouling.
[0069] Exemplarily, when the pre-cleaning operation of the target membrane element by a mixed solution of 0.8% sodium salt of ethylenediaminetetraacetic acid solution and 2% sodium dipolyphosphate solution is the best, that is, after the pre-cleaning operation of the target membrane element by a mixed solution of 0.8% sodium salt of ethylenediaminetetraacetic acid solution and 2% sodium dipolyphosphate solution, the permeability change data of the target membrane element is the largest, then the fouling type is determined to be composite fouling. The composite fouling includes: scale fouling and organic fouling.
[0070] For example, when the fouling type is determined to be salt scale fouling, the order of adding the target reagents can be determined to be acid first, then alkali, and the target membrane element is first subjected to an acid wash operation, and then an alkali wash operation. When the fouling type is determined to be organic fouling, the order of adding the target reagents can be determined to be alkali first, then acid, and then alkali, and the target membrane element is first subjected to an alkali wash operation, then an acid wash operation, and finally an alkali wash operation.
[0071] Based on this, the above method can accurately determine the contamination type of the target membrane element according to the target reagent, automatically and accurately determine the order of adding multiple target reagents according to the above contamination type, and then accurately perform the corresponding target cleaning operations on the target membrane element in sequence according to the above addition order, which is beneficial to improve the automation accuracy of the target membrane element cleaning operation process, reduce the manual participation in the target membrane element cleaning operation process, and reduce the probability of direct contact between staff and corrosive reagents, thereby improving the protection of staff and improving the safety of staff.
[0072] In some feasible implementations, the above method also includes: recording historical cleaning data of the target membrane element, wherein the historical cleaning data includes: historical cleaning times data and permeability data corresponding to the historical cleaning times data; determining a permeability change curve of the target membrane element based on the historical cleaning data; and predicting the life cycle of the target membrane element based on the permeability change curve.
[0073] For example, the programmable logic controller can record the time data of each cleaning operation performed during the use of the target membrane element, the number of times of the cleaning operation, and the transmittance data corresponding to the historical number of cleaning times.
[0074] Specifically, the time data of each cleaning operation and the number of cleaning operations can be used as the horizontal axis, and the ratio of the permeability data of the target membrane element after the current cleaning operation to the permeability data of the target membrane element after the previous cleaning operation can be used as the vertical axis to generate a permeability change curve. Based on the above permeability change curve, the life cycle of the target membrane element can be predicted.
[0075] In some feasible implementations, the method further includes: generating a reminder of the target membrane element's near-expiration life when it is determined that the transmittance of the target membrane element is less than or equal to a preset transmittance according to the transmittance variation curve.
[0076] Exemplarily, the preset transmittance may be determined according to the material of the target membrane element and / or the preset transmittance requirement of the target user.
[0077] Exemplarily, when the transmittance of the target membrane element is less than or equal to the preset transmittance, it is determined that even if the target cleaning operation is performed on the target membrane element, the transmittance recovery degree corresponding to the target membrane element is still less than or equal to the preset transmittance recovery degree, and the transmittance of the target membrane element can no longer be restored to a level that meets the usage requirements by performing the target cleaning operation. In this case, a reminder of the expiration of the life of the target membrane element is generated.
[0078] Based on this, the above method can accurately generate a reminder of the target membrane element's life expiration according to the above transmittance change curve and the preset transmittance, thereby reminding the target user to replace the above target membrane element in time to avoid affecting the water treatment purification effect and improve the continuity of the water treatment purification process.
[0079] In some feasible implementations, the remaining life of the target membrane element can also be determined based on the cleaning times of the target membrane element and the preset cleaning times, so as to generate a reminder of the target membrane element's near-life in advance, thereby improving the foresight of the method. The preset cleaning times can be determined based on the material of the target membrane element and / or the preset requirements of the target user for the transmittance of the target membrane element.
[0080] In some feasible implementations, the frequency information of the target membrane element performing the cleaning operation within a preset time period can also be determined based on the transmittance change curve. When it is determined that the frequency of the target membrane element continuously performing the cleaning operation is greater than the preset frequency threshold, it is determined that the water quality pollution level is higher than the previous average level, and a water quality abnormality reminder is generated, thereby reminding the target user to check the water quality in time.
[0081] Based on this, the above method can accurately generate the transmittance change curve of the target membrane element according to the historical cleaning data of the target membrane element, and accurately predict the life cycle of the target membrane element according to the above transmittance change curve, which is conducive to promoting the target user to continuously monitor the changes in the degree of contamination of the target membrane element, the reduction in the transmittance of the target membrane element, and the changes in the performance of the target membrane element.
[0082] In some feasible implementations, the above-mentioned historical cleaning data also includes: target reagent type data, target reagent concentration data, and / or cleaning time data corresponding to the historical cleaning number data; and correcting the life cycle based on the type data, concentration data, and / or cleaning time data.
[0083] Exemplarily, the above-mentioned type data may include: acidic reagent type, alkaline reagent type, and neutral reagent type.
[0084] It should be noted that, when the target reagent is an acidic reagent, the acidity of the target reagent is positively correlated with the concentration of the target reagent. When the target reagent is an alkaline reagent, the alkalinity of the target reagent is positively correlated with the concentration of the target reagent.
[0085] It should be noted that, when the target reagent is an acidic reagent, the life cycle of the target membrane element is shortened according to the concentration of the target reagent and / or the cleaning time of the target membrane element. When the target reagent is an alkaline reagent, the life cycle of the target membrane element is shortened according to the concentration of the target reagent and / or the cleaning time of the target membrane element. When the target reagent is a neutral reagent, the above correction operation is not performed.
[0086] Based on this, the above method can realize the target reagent type data, target reagent concentration data, and / or cleaning time data corresponding to the historical cleaning time data; according to the type data, concentration data, and / or cleaning time data, accurately correct the life cycle and accurately generate the target membrane element life expiration reminder, which is beneficial to improve the target user's monitoring accuracy of changes in the degree of contamination of the target membrane element, the reduction in the transmittance of the target membrane element, and the changes in the performance of the target membrane element.
[0087] It should be noted that, in some feasible embodiments, the contamination degree of the target membrane element can also be determined based on the dosage of the above-mentioned target reagent and / or the cleaning time of the target reagent on the target membrane element, so as to facilitate the target user to monitor the contamination degree of the target element in real time.
[0088] In some feasible implementations, the method described in any of the above items also includes: determining, based on a preset transmittance, pH values of multiple reagents, and material composition of the target membrane element, performing corresponding target cleaning operations on the target membrane element with multiple reagents so that the transmittance of the target membrane element is greater than or equal to the life extension parameter, damage parameter, and transmittance recovery parameter corresponding to the above preset transmittance; determining the target reagent based on the life extension parameter, damage parameter, and transmittance recovery parameter.
[0089] Exemplarily, the preset transmittance is the transmittance corresponding to the target user's minimum performance requirement for the target membrane element.
[0090] For example, the target cleaning operation corresponding to the execution of the multiple reagents on the target membrane element can be determined based on the preset transmittance, the pH value of the multiple reagents, and the material composition of the target membrane element so that the transmittance of the target membrane element is greater than or equal to the preset transmittance, and the life extension parameter set corresponding to the multiple reagents for the target membrane element. The above life extension parameter set can be expressed by the following formula (1):
[0091] [L1,L2,L3,…,L n ] (1)
[0092] Among them, L1 is the life extension parameter corresponding to the first reagent, L2 is the life extension parameter corresponding to the second reagent, L3 is the life extension parameter corresponding to the third reagent, L n is the life extension parameter corresponding to the Nth reagent
[0093] It should be noted that the minimum life extension parameter corresponding to the above life extension parameter set can be expressed as L min Indicates that the maximum life extension parameter corresponding to the above life extension parameter set can be expressed as L max express.
[0094] Specifically, the life extension parameter substitution values corresponding to the various reagents can be determined according to the following formula (2):
[0095]
[0096] Among them, F(L n ) is the life extension parameter corresponding to the Nth reagent, L n is the life extension parameter corresponding to the Nth reagent, L max is the maximum life extension parameter corresponding to the life extension parameter set, L min It is the minimum life extension parameter corresponding to the life extension parameter set.
[0097] For example, the target cleaning operation corresponding to the execution of multiple reagents on the target membrane element can be determined based on the preset transmittance, the pH value of multiple reagents, and the material composition of the target membrane element so that the transmittance of the target membrane element is greater than or equal to the preset transmittance, and the damage parameter set of the target membrane element corresponding to the multiple reagents. The above damage parameter set can be expressed by the following formula (3):
[0098] [D1,D2,D3,…,D n ] (3)
[0099] Among them, D1 is the damage parameter corresponding to the first reagent, D2 is the damage parameter corresponding to the second reagent, and D3 is the damage parameter corresponding to the third reagent. n is the damage parameter corresponding to the Nth agent
[0100] It should be noted that the minimum damage parameter corresponding to the above damage parameter set can be expressed as D min Indicates that the maximum damage parameter corresponding to the above damage parameter set can be expressed as D max express.
[0101] Specifically, the damage parameter substitution values corresponding to the various reagents can be determined according to the following formula (4):
[0102]
[0103] Among them, F(D n ) is the damage parameter substitution value corresponding to the Nth reagent, D n is the damage parameter corresponding to the Nth reagent, D max is the maximum damage parameter corresponding to the damage parameter set, D min is the minimum damage parameter corresponding to the damage parameter set.
[0104] Exemplarily, the permeability recovery parameter may be determined based on a ratio of permeability data of a target membrane element corresponding to a current cleaning operation performed using multiple reagents to permeability data of a target membrane element corresponding to a previous cleaning operation.
[0105] For example, according to the preset transmittance, pH values of multiple reagents, and material composition of the target membrane element, the target cleaning operation corresponding to the multiple reagents for the target membrane element is determined so that the transmittance of the target membrane element is greater than or equal to the preset transmittance, and the transmittance recovery parameter set of the target membrane element corresponding to the multiple reagents is determined. The transmittance recovery parameter set can be expressed by the following formula (5):
[0106] [T1,T2,T3,…,T n ] (5)
[0107] Among them, T1 is the transmittance recovery parameter corresponding to the first reagent, T2 is the transmittance recovery parameter corresponding to the second reagent, T3 is the transmittance recovery parameter corresponding to the third reagent, T n is the transmittance recovery parameter corresponding to the Nth reagent
[0108] It should be noted that the minimum transmittance recovery parameter corresponding to the above transmittance recovery parameter set can be expressed as T min Indicates that the maximum transmittance recovery parameter corresponding to the above transmittance recovery parameter set can be expressed as T max express.
[0109] Specifically, the transmittance recovery parameter substitution values corresponding to various reagents can be determined according to the following formula (6):
[0110]
[0111] Among them, F(T n ) is the transmittance recovery parameter corresponding to the Nth reagent, T n is the transmittance recovery parameter corresponding to the Nth reagent, T max is the maximum transmittance recovery parameter corresponding to the transmittance recovery parameter set, T min is the minimum transmittance recovery parameter corresponding to the transmittance recovery parameter set.
[0112] Exemplarily, the comprehensive scores corresponding to the multiple reagents can be determined according to the following formula (7) to determine the above target reagent:
[0113] S n =w T ×f(T n )+w L ×f(L n )+w D ×f(D n ) (7)
[0114] Among them, S n is the comprehensive score corresponding to the Nth reagent, w T is the weight corresponding to the transmittance recovery parameter, F(T n ) is the transmittance recovery parameter substitution value corresponding to the Nth reagent, w L is the weight corresponding to the damage parameter, F(L n ) is the life extension parameter corresponding to the Nth reagent, F(D n ) is the damage parameter substitution value corresponding to the Nth reagent, w D is the weight corresponding to the life extension parameter.
[0115] It should be noted that the weight w corresponding to the transmittance recovery parameter T , the weight w corresponding to the life extension parameterL And the weight w corresponding to the damage parameter D The sum of is 1; and the weight w corresponding to the transmittance recovery parameter T Greater than the weight w corresponding to the life extension parameter L ; Weight w corresponding to the life extension parameter L The weight w corresponding to the damage parameter D equal.
[0116] It should be noted that the reagent with the highest comprehensive score among the multiple reagents is determined as the target reagent.
[0117] Based on this, the above method can accurately determine the target cleaning operations performed by multiple reagents on the target membrane element according to the preset transmittance, the pH values of multiple reagents, and the material composition of the target membrane element so that the transmittance of the target membrane element is greater than or equal to the life extension parameters, damage parameters and transmittance recovery parameters corresponding to the above preset transmittance; accurately determine the comprehensive scores of multiple reagents based on the life extension parameters, damage parameters and transmittance recovery parameters, and accurately determine the target reagent based on the above comprehensive scores.
[0118] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.
[0119] The above is an introduction to the method embodiment. The following is a further explanation of the scheme described in this application through an apparatus embodiment.
[0120] According to a second aspect of the embodiments of the present application, a membrane element cleaning device is provided. Figure 2 This is a structural schematic diagram of a membrane element cleaning device 200 provided in an embodiment of the present application. Figure 2 The device 200 shown includes: an acquisition unit 210 , a determination unit 220 , and a cleaning unit 230 .
[0121] The acquisition unit 210 is used to acquire the fouling state detection data of the target membrane element, wherein the fouling state detection data includes: the water production data of the target membrane element, the pressure data of the target membrane element, and / or the salt rejection rate data of the target membrane element;
[0122] A determination unit 220, for determining a target reagent according to pre-cleaning permeability data of the target membrane element when it is determined that the target membrane element is blocked according to the blockage state detection data;
[0123] The cleaning unit 230 is used to perform a corresponding target cleaning operation on a target membrane element based on a target reagent.
[0124] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the described method can refer to the corresponding process in the aforementioned system embodiment, and will not be repeated here.
[0125] According to a third aspect of the present invention, an electronic device is also provided. Figure 3 A structural schematic diagram of an electronic device 300 provided in an embodiment of the present application.
[0126] like Figure 3 As shown, the electronic device 300 includes a central processing unit (CPU) 301, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 302 or the program loaded from the storage part 508 into the random access memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the terminal device or the server are also stored. The CPU 301, the ROM 302, and the RAM 303 are connected to each other through the bus 304. The input / output (I / O) interface 305 is also connected to the bus 304.
[0127] The following components are connected to the I / O interface 305: an input section 306 including a keyboard, a mouse, etc.; an output section 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 308 including a hard disk, etc.; and a communication section 309 including a network interface card such as a LAN card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. A drive 310 is also connected to the I / O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed, so that a computer program read therefrom is installed into the storage section 308 as needed.
[0128] In particular, according to an embodiment of the present application, the above method flow steps can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a machine-readable medium, and the computer program includes a program code for executing the method shown in the flow chart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 309, and / or installed from the removable medium 311. When the computer program is executed by the central processing unit (CPU) 301, the above-mentioned functions defined in the system of the present application are executed.
[0129] It should be noted that the computer-readable medium described in the fourth aspect of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, in which a computer-readable program code is carried. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.
[0130] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of the code, and the aforementioned module, program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0131] The units or modules involved in the embodiments described in the present application may be implemented by software or hardware. The units or modules described may also be arranged in a processor. The names of these units or modules do not, in some cases, constitute limitations on the units or modules themselves.
[0132] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.
Claims
1. A membrane element cleaning method, characterized in that: include: Acquiring fouling state detection data of a target membrane element, wherein the fouling state detection data includes: water production data of the target membrane element, pressure data of the target membrane element, and / or salt rejection rate data of the target membrane element; When it is determined that the target membrane element is fouled according to the fouling state detection data, Determining a target reagent according to the pre-cleaning permeability data of the target membrane element; Based on the target reagent, a corresponding target cleaning operation is performed on the target membrane element.
2. The membrane element cleaning method according to claim 1, characterized in that: The step of determining the target reagent according to the pre-cleaning permeability data of the target membrane element comprises: Based on a plurality of preset reagents, performing a pre-cleaning operation on the target membrane element to obtain the pre-cleaning permeability data; When the pre-cleaning transmittance data corresponding to the preset reagent is the largest, the preset reagent is determined to be the target reagent.
3. The membrane element cleaning method according to claim 2, characterized in that: Also includes: Determining the fouling type of the target membrane element according to the target reagent; Determining the order of adding the plurality of target reagents according to the fouling type; According to the adding order, a corresponding target cleaning operation is performed on the target reagent.
4. The membrane element cleaning method according to claim 1, characterized in that: Also includes: Recording historical cleaning data of the target membrane element, wherein the historical cleaning data includes: historical cleaning times data and permeability data corresponding to the historical cleaning times data; Determining a permeability variation curve of the target membrane element according to the historical cleaning data; The life cycle of the target membrane element is predicted based on the transmittance variation curve.
5. The membrane element cleaning method according to claim 4, characterized in that: Also includes: When it is determined according to the transmittance variation curve that the transmittance of the target membrane element is less than or equal to a preset transmittance, a reminder of the near expiration of the life of the target membrane element is generated.
6. The membrane element cleaning method according to claim 5, characterized in that: The historical cleaning data also includes: type data of the target reagent, concentration data of the target reagent, and / or cleaning duration data corresponding to the historical cleaning number data; The life cycle is corrected according to the type data, the concentration data, and / or the cleaning time data.
7. The membrane element cleaning method according to any one of claims 1 to 6, characterized in that: Also includes: According to the preset transmittance, pH values of the multiple reagents, and the material composition of the target membrane element, determine the corresponding target cleaning operation of the multiple reagents on the target membrane element so that the transmittance of the target membrane element is greater than or equal to the life extension parameter, damage parameter, and transmittance recovery parameter corresponding to the preset transmittance; The target reagent is determined according to the life extension parameter, the damage parameter and the transmittance recovery parameter.
8. A membrane element cleaning device, characterized in that: include: an acquisition unit, configured to acquire fouling state detection data of a target membrane element, wherein the fouling state detection data includes: water production data of the target membrane element, pressure data of the target membrane element, and / or salt rejection rate data of the target membrane element; A determination unit, configured to determine a target reagent according to pre-cleaning permeability data of the target membrane element when it is determined that the target membrane element is blocked by fouling according to the fouling state detection data; The cleaning unit is used to perform a corresponding target cleaning operation on the target membrane element based on the target reagent.
9. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory stores computer program instructions, and the computer program instructions are used to execute the membrane element cleaning method according to any one of claims 1 to 7 when the processor is running. 10 . A computer-readable medium having program instructions stored thereon, wherein the program instructions are used to execute the membrane element cleaning method according to claim 1 when being run.
Citation Information
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