Ceramic filter selection methods, devices, storage media and electronic equipment

Abstract

This application discloses a method, apparatus, storage medium, and electronic device for selecting ceramic filters. It relates to the fields of in-situ leaching uranium mining technology and porous materials engineering. The method includes: obtaining operating parameters of a target ore deposit; determining various specifications of ceramic filters suitable for the target ore deposit based on its type; calculating performance indicators of the various specifications of ceramic filters based on their structural parameters and the operating parameters of the target ore deposit, wherein the performance indicators include filtration efficiency, clogging risk index, and permeability retention rate; determining maintenance recommendations for the various specifications of ceramic filters based on their performance indicators; and selecting a target specification ceramic filter from among the various specifications based on the performance indicators and the maintenance recommendations. This application can improve the accuracy of ceramic filter selection.

Description

Technical Field

[0001] This application relates to the fields of in-situ leaching uranium mining technology and porous materials engineering, and in particular to a method, apparatus, storage medium and electronic equipment for selecting ceramic filters. Background Technology

[0002] In-situ leaching is a highly efficient and environmentally friendly method for uranium resource extraction. Its core process involves injecting leaching solution into the ore layer through injection wells and then extracting the uranium-containing solution to the surface through pumping wells. In this cycle, downhole filters, as a key functional component, play a crucial role in intercepting solid particles such as sediment and rock debris from the ore layer, ensuring the normal operation of the submersible pumps.

[0003] Traditional filters often suffer from poor interception of fine particles, easy clogging, difficult cleaning, high cost, and insufficient corrosion resistance. Heterogeneous ceramic filters, with their three-dimensional open-pore mesh structure, high porosity, excellent corrosion resistance, and adjustable pore size distribution, show the potential to solve these problems.

[0004] Currently, in practice, the specifications for ceramic filters are usually determined manually. However, this method relies too heavily on the operator's experience, lacks quantifiable selection criteria and evaluation standards, and makes it difficult to guarantee the accuracy of ceramic filter selection. Summary of the Invention

[0005] In view of this, this application provides a method, apparatus, storage medium and electronic device for selecting ceramic filters, which mainly improves the selection accuracy of ceramic filters.

[0006] According to a first aspect of this application, a method for selecting a ceramic filter is provided, the method comprising: Obtain the operating parameters of the target ore deposit; Based on the type of the target mineral deposit, determine the ceramic filters of various specifications suitable for the target mineral deposit; Based on the structural parameters of the various specifications of ceramic filters and the operating parameters of the target ore deposit, the performance indicators of the various specifications of ceramic filters are calculated, wherein the performance indicators include the filtration efficiency, clogging risk index and water permeability retention rate of the various specifications of ceramic filters. Based on the performance indicators of the various specifications of ceramic filters, maintenance recommendations are determined for the various specifications of ceramic filters. Based on the performance indicators and maintenance recommendations, select a ceramic filter of the target specification from the various specifications of ceramic filters.

[0007] According to a second aspect of this application, a ceramic filter selection device is provided, the device comprising: Acquisition unit, used to acquire the operating parameters of the target ore deposit; The first determining unit is used to determine ceramic filters of various specifications suitable for the target mineral deposit based on the type of the target mineral deposit; The calculation unit is used to calculate the performance indicators of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications and the working parameters of the target ore deposit. The performance indicators include the filtration efficiency, clogging risk index and water permeability retention rate of the ceramic filters of various specifications. The second determining unit is used to determine the operation and maintenance recommendations for the ceramic filters of various specifications based on the performance indicators of the ceramic filters of various specifications. The selection unit is used to select a target specification ceramic filter from the various specifications of ceramic filters based on the performance indicators and the operation and maintenance recommendations.

[0008] According to a third aspect of this application, a storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the above-described ceramic filter selection method.

[0009] According to a fourth aspect of this application, an electronic device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the program to implement the above-described ceramic filter selection method.

[0010] By employing the aforementioned technical solutions, this application provides a ceramic filter selection method, apparatus, storage medium, and electronic equipment. Compared to existing technologies, this method calculates the filtration efficiency, clogging risk index, and permeability retention rate of various specifications of ceramic filters based on the operating parameters of the target ore deposit and the structural parameters of the ceramic filters. This allows for the prediction of the performance of ceramic filters of various specifications. Subsequently, the performance prediction results and maintenance recommendations can be used as a scientific basis for selection, thereby improving the accuracy of ceramic filter selection and enabling personalized design tailored to each mine. Furthermore, by predicting the performance of various specifications of ceramic filters, this application facilitates subsequent structural optimization and operation and maintenance management of the filters.

[0011] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0012] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 A schematic flowchart of a ceramic filter selection method provided in an embodiment of this application is shown; Figure 2 A schematic flowchart illustrating the calculation method for the performance indicators of the ceramic filter provided in this application embodiment is shown. Figure 3 A schematic diagram of the microstructure of the ceramic filter provided in an embodiment of this application is shown; Figure 4 A schematic diagram of the macroscopic structure of the ceramic filter provided in an embodiment of this application is shown; Figure 5 A schematic diagram of the cylindrical structure of the ceramic filter provided in the embodiment of this application is shown. Figure 6 This paper presents a schematic diagram showing the relationship between the effective interception aperture and porosity provided in an embodiment of this application. Figure 7 This paper presents a schematic diagram showing the decay curve of the water permeability retention rate over time provided in an embodiment of this application. Figure 8 A schematic diagram of the selection decision system interface provided in an embodiment of this application is shown; Figure 9 A schematic diagram of a ceramic filter selection device provided in an embodiment of this application is shown. Detailed Implementation

[0013] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.

[0014] Existing technologies rely too heavily on the operator's experience and lack quantitative selection criteria and evaluation standards, making it difficult to guarantee the selection accuracy of ceramic filters.

[0015] To address the above problems, embodiments of the present invention provide a method for selecting ceramic filters, such as... Figure 1 As shown, the method includes: Step 10: Obtain the operating parameters of the target ore deposit.

[0016] The target deposit can be any type of deposit, and the operating parameters include the sand content, sand density, median particle size of the inrushed sand, pumping flow rate of the submersible pump after the underground liquid level stabilizes, and basic flow rate.

[0017] The embodiments of the present invention are mainly applicable to the selection of ceramic filters. The execution subject of the embodiments of the present invention is a device or equipment capable of selecting ceramic filters, which can be set on the server side.

[0018] In this embodiment of the invention, the uranium deposit undergoing in-situ leaching is taken as the target deposit, and the operating parameters of the target deposit, such as sand content, sand density, median particle size of the inrushed sand, pumping flow rate of the submersible pump after the underground liquid level stabilizes, and basic flow rate, are obtained through actual measurement, sensor acquisition and other methods.

[0019] Step 20: Based on the type of the target mineral deposit, determine the ceramic filters of various specifications suitable for the target mineral deposit.

[0020] The types of target mineral deposits include loose sand layers, moderately cemented and dense rock layers, etc. It should be noted that the types of target mineral deposits are not limited to those listed above, and may also be other types.

[0021] To achieve automatic and accurate selection of ceramic filters, this embodiment of the invention pre-constructs a filter specification decision table. By querying this pre-constructed filter specification decision table, various specifications of ceramic filters suitable for the target deposit can be determined. Specifically, step 20 includes: based on the type of the target deposit, querying the pre-constructed filter specification decision table to determine the range of ceramic filter specification parameters suitable for the target deposit; and determining the various specifications of ceramic filters based on the range of ceramic filter specification parameters suitable for the target deposit. The pre-constructed filter specification decision table records the range of ceramic filter specification parameters applicable to different types of deposits, as detailed below. Table 1 Preset Filter Specification Decision Table

[0022] Assuming the target deposit is a loose sand layer, by consulting the preset filter specification decision table, the median particle size of the inflow sand in the loose sand layer is determined to be 0.5-2.0mm. The recommended PPI range for ceramic filters suitable for loose sand layers is 30-50, and the porosity range is 78-80%. Then, all filter specifications with a recommended PPI of 30-50 and a porosity of 78-80% are determined. For example, the recommended PPI of ceramic filter A is 30 and the porosity is 78%, the recommended PPI of ceramic filter B is 35 and the porosity is 80%, the recommended PPI of ceramic filter C is 40 and the porosity is 82%, and so on.

[0023] Step 30: Calculate the performance indicators of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications and the operating parameters of the target ore deposit.

[0024] The performance indicators include the filtration efficiency, clogging risk index, and water permeability retention rate of the various specifications of ceramic filters. The structural parameters of the ceramic filters include average diameter, porosity, pore tortuosity, rib diameter, overall height, perimeter, material structural parameters, and clogging rate coefficient.

[0025] For embodiments of the present invention, in order to provide a scientific basis for selection, it is necessary to calculate the performance indicators of ceramic filters of various specifications. The calculation methods for these performance indicators include... Figure 2 As shown, it includes: Step 31: Calculate the effective pore size of the ceramic filters of various specifications based on their structural parameters.

[0026] In this embodiment of the invention, when calculating the effective interception pore size of the ceramic filter, the effective interception pore size of the various specifications of ceramic filters is calculated based on the average diameter, porosity, pore tortuosity, and rib diameter of the various specifications of ceramic filters mentioned in the structural parameters. The specific calculation formula for the effective interception pore size is as follows:

[0027] in, This represents the effective pore size of the ceramic filter; This represents the average diameter of the ceramic filter; Represents the porosity of the ceramic filter; The tortuosity of the orifice is represented by a range of 1.5-2.5 obtained through CT scan. This represents the rib diameter, measured in millimeters (mm).

[0028] The microstructure and macrostructure of the ceramic filter are as follows: Figure 3 and Figure 4 As shown, the cylindrical structure of the ceramic filter in application is as follows: Figure 5 As shown, Figure 3 In this context, ds represents the rib diameter. The formula for calculating the effective interception pore size reflects the enhanced effect of the tortuous channels and variable pore size structure of heterogeneous ceramics on particle interception. The smaller the value, the stronger the ability to intercept particles.

[0029] The relationship curve between effective interception pore size and porosity is as follows: Figure 6 As shown, under the same porosity, the more tortuous the pores ( The larger the porosity, the smaller the effective pore size. As the porosity gradually increases, the effective pore size increases, but the mechanical strength of the ceramic filter decreases. Furthermore, the rib diameter ratio... It has a significant impact on the effective interception aperture.

[0030] Step 32: Calculate the critical penetration particle size of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications and the operating parameters of the target ore deposit.

[0031] In this embodiment of the invention, when calculating the critical penetration diameter of the ceramic filter, the flow area of ​​the various specifications of ceramic filters is calculated based on the overall height and perimeter of the various specifications of ceramic filters in the structural parameters; the apparent velocity of the various specifications of ceramic filters is calculated based on the pumping flow rate of the submersible pump after the downhole fluid level stabilizes and the flow area in the operating parameters; and the critical penetration diameter of the various specifications of ceramic filters is calculated based on the apparent velocity and the sand content and sand density in the operating parameters. The specific calculation formula for the critical penetration diameter is as follows.

[0032]

[0033] in, The critical penetration particle size represents the ceramic filter. This represents the viscosity of the leachate, i.e., the dynamic viscosity. Represents apparent flow rate; This represents the pumping flow rate of the submersible pump after the downhole fluid level has stabilized. The flow area is represented by the overall height of the ceramic filter combined with the average of its inner and outer perimeters. ; Represents the density of sand particles; This represents the sand content by mass. The sand content correction term in the above critical penetration size calculation formula reflects the influence of interparticle interactions on sedimentation behavior.

[0034] Step 33: Calculate the filtration efficiency of the ceramic filters of various specifications based on the effective interception pore size and the critical penetration particle size.

[0035] In this embodiment of the invention, when calculating the filtration efficiency of a ceramic filter, the filtration efficiency of the various specifications of ceramic filters is calculated based on the effective interception pore size, the critical penetration particle size, and the material structure parameters of the various specifications of ceramic filters in the structural parameters. The specific calculation formula for the filtration efficiency is as follows.

[0036] in, This represents the filtration efficiency of the ceramic filter. and For material structural parameters, calibrated through experiments, preferably, It is 2.5. It is 1.2. When hour, Approaching 1; when hour, decline.

[0037] Step 34: Calculate the clogging risk index of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications and the operating parameters of the target ore deposit.

[0038] In this embodiment of the invention, when calculating the clogging risk index of the ceramic filter, the clogging risk index of the various specifications of ceramic filters is calculated based on the average diameter and porosity of the various specifications of ceramic filters mentioned in the structural parameters, and the sand content, median particle size of the inrush sand, and the pumping flow rate and base flow rate of the submersible pump after the downhole fluid level stabilizes, mentioned in the operating parameters. The specific calculation formula for the clogging risk index is as follows.

[0039] in, Represents the congestion risk index; This represents the median particle size of the sand inflow, in millimeters (mm). Represents the mass fraction of sand; This represents the average diameter of the ceramic filter; Represents the porosity of the ceramic filter; This represents the pumping flow rate of the submersible pump after the downhole fluid level has stabilized. This represents the base traffic, typically 6. .

[0040] After calculating the clogging risk index using the formula above, the risk level of the ceramic filter can be determined according to the range to which the clogging risk index falls. The higher the clogging risk index, the greater the risk of clogging the ceramic filter. For example, if the clogging risk index... If the clogging risk index is less than 1.0, then the ceramic filter of this specification is considered low-risk; if the clogging risk index is... If the clogging risk index is greater than or equal to 1.0 and less than 3.0, then the ceramic filter of this specification is classified as medium risk; if the clogging risk index is... If the value is greater than or equal to 3.0, then the ceramic filter of this specification is considered to be of high risk.

[0041] Step 35: Based on the clogging risk index, calculate the water permeability retention rate of the ceramic filters of various specifications.

[0042] In this embodiment of the invention, when calculating the water permeability retention rate of the ceramic filter, the water permeability retention rate of the various specifications of ceramic filters is calculated based on the operating time and clogging rate coefficient of the various specifications of ceramic filters mentioned in the structural parameters, as well as the clogging risk index. The specific calculation formula for the water permeability retention rate is as follows.

[0043] in, This represents the rate at which water permeability is retained. The clogging rate coefficient, which can be obtained experimentally, is typically 0.01-0.05. This represents the operating time of the ceramic filter, and the unit can be months. This represents the clogging risk index. The lower the water permeability retention rate, the shorter the cleaning cycle; conversely, the higher the water permeability retention rate, the longer the cleaning cycle.

[0044] The permeability retention rate decay curve over time is shown in the figure. Figure 7 As shown, the permeability retention rate and the clogging risk index Relatedly, when the blockage risk index is 0.8, the cleaning cycle is greater than or equal to 12 months; when the blockage risk index is 2.1, the cleaning cycle is 6 months; and when the blockage risk index is 3.5, the cleaning cycle is 3 months.

[0045] Step 40: Based on the performance indicators of the various specifications of ceramic filters, determine the operation and maintenance recommendations for the various specifications of ceramic filters.

[0046] This invention, through calculating the performance indicators of ceramic filters, can not only predict the performance of ceramic filters but also provide corresponding operation and maintenance suggestions. Specifically, step 40 includes: determining the critical value of the cleaning cycle for each type of ceramic filter based on its water permeability retention rate; and determining operation and maintenance suggestions for each type of ceramic filter based on the critical value of the cleaning cycle.

[0047] Specifically, the lower the water permeability retention rate, the smaller the critical value for the cleaning cycle; conversely, the higher the water permeability retention rate, the larger the critical value for the cleaning cycle. For example, when the water permeability retention rate... If necessary, backwashing or replacement of the filter is recommended.

[0048] Step 50: Based on the performance indicators and the operation and maintenance recommendations, select a ceramic filter of the target specification from the various specifications of ceramic filters.

[0049] In this embodiment of the invention, after calculating the filtration efficiency, clogging risk index and water permeability retention rate of various specifications of ceramic filters, the above performance indicators and operation and maintenance recommendations for various specifications of ceramic filters are comprehensively considered, and a target specification of ceramic filter that matches the target deposit is selected from a variety of filter specifications.

[0050] like Figure 8 As shown, for any type of ceramic filter, by inputting the operating parameters (basic information) of the target deposit and the structural parameters of the ceramic filter into the selection decision system, the filtration efficiency, clogging risk index, and water permeability retention rate of the ceramic filter of any type are calculated. Simultaneously, based on the above performance indicators, the cleaning cycle, predicted lifespan, material cost, maintenance cost, and structural optimization suggestions for the ceramic filter are provided.

[0051] Taking into account the performance indicators and maintenance costs of various specifications of ceramic filters, a ceramic filter suitable for the target deposit is selected from a variety of specifications.

[0052] The following section uses the selection of a loose sand layer deposit (high sand yield) as an example to explain in detail the calculation process of the performance indicators of ceramic filters.

[0053] For the operating parameters of the ore deposit, the median particle size of the inrush sand The sand content is 0.6 mm. The pumping flow rate of the submersible pump after the downhole fluid level stabilizes is 6%. 6 For a candidate filter of 25 PPI, the porosity of the ceramic filter is... The average diameter is 0.80. 0.85, rib diameter The tortuosity of the duct is 0.32. The value is 2.2. The specific calculation process is as follows:

[0054] The final decision-making process includes: the filtration efficiency (95%) is high, but the clogging risk index (3.5) is high. It is recommended to adopt a detachable structure and a regular backwashing scheme. The cleaning cycle is recommended to be 4 months. The structural optimization suggestion is to appropriately increase the rib diameter to 0.35mm to improve mechanical strength.

[0055] This invention provides a method for selecting ceramic filters. Based on the operating parameters of the target ore deposit and the structural parameters of the ceramic filters, it calculates the filtration efficiency, clogging risk index, and permeability retention rate of various specifications of ceramic filters. This method can predict the performance of ceramic filters of various specifications. Subsequently, the selection of ceramic filters can be based on the performance prediction results and operation and maintenance recommendations, thereby improving the accuracy of ceramic filter selection and achieving personalized design for each mine. At the same time, by predicting the performance of ceramic filters of various specifications, this invention can facilitate subsequent structural optimization and operation and maintenance management of the filters.

[0056] Furthermore, as Figure 1 and Figure 2 The specific implementation of the method shown in this embodiment provides a ceramic filter selection device, such as... Figure 9 As shown, the device includes: an acquisition unit 101, a first determination unit 102, a calculation unit 103, a second determination unit 104, and a selection unit 105.

[0057] The acquisition unit 101 can be used to acquire the operating parameters of the target ore deposit.

[0058] The first determining unit 102 can be used to determine ceramic filters of various specifications suitable for the target mineral deposit based on the type of the target mineral deposit.

[0059] The calculation unit 103 can be used to calculate the performance indicators of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications and the working parameters of the target ore deposit. The performance indicators include the filtration efficiency, clogging risk index and water permeability retention rate of the ceramic filters of various specifications.

[0060] The second determining unit 104 can be used to determine maintenance recommendations for ceramic filters of various specifications based on the performance indicators of the various specifications of ceramic filters.

[0061] The selection unit 105 can be used to select a target specification ceramic filter from the various specifications of ceramic filters based on the performance indicators and the operation and maintenance recommendations.

[0062] In some embodiments, the first determining unit 102 may be specifically used to query a preset filter specification decision table based on the type of the target ore deposit, and determine the range of ceramic filter specification parameters applicable to the target ore deposit, wherein the preset filter specification decision table records the range of ceramic filter specification parameters applicable to different types of ore deposits; and determine the ceramic filters of various specifications according to the range of ceramic filter specification parameters applicable to the target ore deposit.

[0063] In some embodiments, the computing unit 103 includes: a first computing module, a second computing module, a third computing module, a fourth computing module, and a fifth computing module.

[0064] The first calculation module can be used to calculate the effective pore size of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications.

[0065] The second calculation module can be used to calculate the critical penetration particle size of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications and the operating parameters of the target ore deposit.

[0066] The third calculation module can be used to calculate the filtration efficiency of the ceramic filters of various specifications based on the effective interception pore size and the critical penetration particle size.

[0067] The fourth calculation module can be used to calculate the clogging risk index of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications and the operating parameters of the target ore deposit.

[0068] The fifth calculation module can be used to calculate the water permeability retention rate of the various specifications of ceramic filters based on the clogging risk index.

[0069] In some embodiments, the first calculation module may be specifically used to calculate the effective interception aperture of the ceramic filters of various specifications based on the average diameter, porosity, pore tortuosity, and rib diameter of the ceramic filters of various specifications in the structural parameters.

[0070] In some embodiments, the second calculation module may be specifically used to calculate the flow area of ​​the ceramic filters of various specifications based on the overall height and perimeter of the ceramic filters of various specifications in the structural parameters; to calculate the apparent flow velocity of the ceramic filters of various specifications based on the pumping flow rate of the submersible pump after the downhole fluid level stabilizes and the flow area in the operating parameters; and to calculate the critical penetration particle size of the ceramic filters of various specifications based on the apparent flow velocity and the sand content and sand density in the operating parameters.

[0071] In some embodiments, the third calculation module may be specifically used to calculate the filtration efficiency of the ceramic filters of various specifications based on the effective interception aperture and the critical penetration particle size, as well as the material structure parameters of the ceramic filters of various specifications in the structural parameters.

[0072] In some embodiments, the fourth calculation module may be specifically used to calculate the clogging risk index of the ceramic filters of various specifications based on the average diameter and porosity of the ceramic filters of various specifications in the structural parameters, as well as the sand content, median particle size of the sand inflow, and the pumping flow rate and basic flow rate of the submersible pump after the downhole fluid level stabilizes in the operating parameters.

[0073] In some embodiments, the fifth calculation module may be specifically used to calculate the water permeability retention rate of the ceramic filters of various specifications based on the operating time and clogging rate coefficient of the ceramic filters of various specifications in the structural parameters, as well as the clogging risk index.

[0074] In some embodiments, the second determining unit 104 may be specifically used to determine the critical value of the cleaning cycle of the ceramic filters of various specifications based on the water permeability retention rate of the ceramic filters of various specifications; and to determine maintenance recommendations for the ceramic filters of various specifications based on the critical value of the cleaning cycle.

[0075] It should be noted that other corresponding descriptions of the functional units involved in the ceramic filter selection device provided in this embodiment can be found in [reference needed]. Figure 1 and Figure 2 The corresponding descriptions in [the document] will not be repeated here.

[0076] Based on the above, Figure 1 and Figure 2 Accordingly, this embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the above-described method. Figure 1 and Figure 2 The ceramic filter selection method is shown.

[0077] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as CD-ROM, USB flash drive, mobile hard drive, etc.) and includes several instructions to cause an electronic device (such as personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of this application.

[0078] Based on the above, Figure 1 and Figure 2 The method shown, and Figure 9 To achieve the above objectives, the present application also provides an electronic device, specifically a personal computer, tablet computer, server, or other network device, as shown in the virtual device embodiment. This device includes a storage medium and a processor; the storage medium stores a computer program; the processor executes the computer program to achieve the above-described objectives. Figure 1 and Figure 9The ceramic filter selection method is shown.

[0079] Optionally, the aforementioned physical devices may also include a user interface, a network interface, a camera, radio frequency (RF) circuitry, sensors, audio circuitry, a Wi-Fi module, etc. The user interface may include a display screen, input units such as a keyboard, etc., and optional user interfaces may also include USB interfaces, card reader interfaces, etc. The network interface may optionally include standard wired interfaces, wireless interfaces (such as Wi-Fi interfaces), etc.

[0080] Those skilled in the art will understand that the physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or combine certain components, or have different component arrangements.

[0081] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the aforementioned physical device, supporting the operation of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software in the information processing physical device.

[0082] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platform, or it can be implemented by hardware.

[0083] This invention, through calculating the filtration efficiency, clogging risk index, and water permeability retention rate of ceramic filters of various specifications, can predict the performance of ceramic filters of different specifications. Subsequently, the performance prediction results and operation and maintenance recommendations can be used as a scientific basis for selection, thereby improving the accuracy of ceramic filter selection and enabling personalized design tailored to each mine. Simultaneously, by predicting the performance of ceramic filters of various specifications, this invention facilitates subsequent structural optimization and operation and maintenance management of the filters.

[0084] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of a preferred embodiment, and the modules or processes shown in the drawings are not necessarily essential for implementing this application. Those skilled in the art will understand that the modules in the apparatus of the embodiment can be distributed within the apparatus of the embodiment as described, or can be modified to be located in one or more apparatuses different from this embodiment. The modules of the above-described embodiment can be combined into one module, or further divided into multiple sub-modules.

[0085] The serial numbers in this application are for descriptive purposes only and do not represent the superiority or inferiority of any particular implementation scenario. The above disclosures are merely a few specific implementation scenarios of this application; however, this application is not limited thereto, and any variations conceived by those skilled in the art should fall within the protection scope of this application.

Claims

1. A method for selecting ceramic filters, characterized in that, include: Obtain the operating parameters of the target ore deposit; Based on the type of the target mineral deposit, determine the ceramic filters of various specifications suitable for the target mineral deposit; Based on the structural parameters of the various specifications of ceramic filters and the operating parameters of the target ore deposit, the performance indicators of the various specifications of ceramic filters are calculated, wherein the performance indicators include the filtration efficiency, clogging risk index and water permeability retention rate of the various specifications of ceramic filters. Based on the performance indicators of the various specifications of ceramic filters, maintenance recommendations are determined for the various specifications of ceramic filters. Based on the performance indicators and maintenance recommendations, select a ceramic filter of the target specification from the various specifications of ceramic filters.

2. The method according to claim 1, characterized in that, The step of determining various specifications of ceramic filters suitable for the target ore deposit based on the type of the target ore deposit includes: Based on the type of the target deposit, a preset filter specification decision table is queried to determine the range of ceramic filter specification parameters applicable to the target deposit. The preset filter specification decision table records the range of ceramic filter specification parameters applicable to different types of deposits. The various specifications of ceramic filters are determined based on the range of ceramic filter specifications applicable to the target deposit.

3. The method according to claim 1, characterized in that, The calculation of performance indicators for ceramic filters of various specifications based on their structural parameters and the operating parameters of the target ore deposit includes: Based on the structural parameters of the various specifications of ceramic filters, calculate the effective interception pore size of the various specifications of ceramic filters; Based on the structural parameters of the various specifications of ceramic filters and the operating parameters of the target ore deposit, the critical penetration particle size of the various specifications of ceramic filters is calculated. The filtration efficiency of the various specifications of ceramic filters is calculated based on the effective interception pore size and the critical penetration particle size. Based on the structural parameters of the various specifications of ceramic filters and the operating parameters of the target ore deposit, the clogging risk index of the various specifications of ceramic filters is calculated. Based on the clogging risk index, the water permeability retention rate of the various specifications of ceramic filters is calculated.

4. The method according to claim 3, characterized in that, The step of calculating the effective pore size of ceramic filters of various specifications based on their structural parameters includes: Based on the average diameter, porosity, pore tortuosity, and rib diameter of the various specifications of ceramic filters described in the structural parameters, the effective interception pore size of the various specifications of ceramic filters is calculated.

5. The method according to claim 3, characterized in that, The calculation of the critical penetration particle size of the ceramic filters of various specifications based on the structural parameters of the various specifications and the operating parameters of the target ore deposit includes: Calculate the flow area of ​​the ceramic filters of various specifications based on the overall height and perimeter of the various specifications of ceramic filters in the structural parameters. Based on the pumping flow rate of the submersible pump after the downhole fluid level stabilizes and the flow area in the operating conditions, the apparent flow velocity of the ceramic filters of various specifications is calculated. Based on the apparent flow rate, and the sand mass fraction and sand density in the operating parameters, the critical penetration diameter of the ceramic filters of various specifications is calculated.

6. The method according to claim 3, characterized in that, The calculation of the filtration efficiency of the various specifications of ceramic filters based on the effective interception pore size and the critical penetration particle size includes: The filtration efficiency of the ceramic filters of various specifications is calculated based on the effective interception aperture and the critical penetration particle size, as well as the material structure parameters of the various specifications of ceramic filters in the structural parameters.

7. The method according to claim 3, characterized in that, The calculation of the clogging risk index of the ceramic filters of various specifications based on the structural parameters of the various specifications and the operating parameters of the target ore deposit includes: Based on the average diameter and porosity of the various specifications of ceramic filters in the structural parameters, and the sand content, median particle size of the inrush sand, and the pumping flow rate and basic flow rate of the submersible pump after the downhole fluid level stabilizes in the operating parameters, the clogging risk index of the various specifications of ceramic filters is calculated.

8. A ceramic filter selection device, characterized in that, include: Acquisition unit, used to acquire the operating parameters of the target ore deposit; The first determining unit is used to determine ceramic filters of various specifications suitable for the target mineral deposit based on the type of the target mineral deposit; The calculation unit is used to calculate the performance indicators of the ceramic filters of various specifications based on the structural parameters of the ceramic filters of various specifications and the working parameters of the target ore deposit. The performance indicators include the filtration efficiency, clogging risk index and water permeability retention rate of the ceramic filters of various specifications. The second determining unit is used to determine the operation and maintenance recommendations for the ceramic filters of various specifications based on the performance indicators of the ceramic filters of various specifications. The selection unit is used to select a target specification ceramic filter from the various specifications of ceramic filters based on the performance indicators and the operation and maintenance recommendations.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.

10. An electronic device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 7.

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