A filter element flow analysis method, and a method and device for predicting remaining life thereof

By obtaining the filter element pressure difference and upstream contamination in real time, combining linear relationships and mapping tables, the filter element's dirt holding capacity and working flow rate are calculated, solving the problem of predicting the remaining life of the filter element under fluctuating flow rates, realizing intelligent maintenance of the filter element, and ensuring the safety and economic benefits of industrial production.

CN118779563BActive Publication Date: 2025-10-28JIUJIANG QISUO PRECISION ELECTROMECHANICAL TECH CO
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Patent Information

Application Number
CN202410745547.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-11
Publication Date
2025-10-28
Estimated Expiration
2044-06-11

AI Technical Summary

Technical Problem

Existing technologies make it difficult to directly analyze the remaining life of filter elements under fluctuating flow rates, resulting in untimely or premature replacement of filter elements, affecting industrial production safety and economic benefits.

Method used

By obtaining the filter element pressure difference and upstream contamination in real time, combining the linear relationship and mapping table, the filter element's dirt holding capacity and working flow rate are calculated to predict the remaining life of the filter element.

Benefits of technology

It achieves accurate prediction of the remaining life of the filter element under fluctuating flow conditions, supports intelligent maintenance of the filter, avoids improper delay or advance of filter element replacement, and ensures the safety and economic benefits of industrial production.

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Abstract

This application belongs to the field of online detection technology for fluid contamination control, specifically disclosing a filter cartridge flow analysis method, and a method and device for predicting the remaining life of the filter cartridge. This application determines the contamination status of the filter cartridge based on two pieces of information: pressure difference and contamination level, facilitating intelligent maintenance and upgrades of the filter. In many industrial settings where flow monitoring is unavailable, the system flow rate is detected and analyzed based on the pressure drop characteristics of the filter cartridge. By analyzing the real-time operating flow rate of the filter cartridge based on its pressure difference and combining this with the real-time contamination level upstream, the contamination capacity of the filter cartridge is analyzed. Thus, under variable flow conditions, the remaining life of the filter cartridge can be analyzed and predicted, facilitating predictive maintenance of the filter cartridge by the user.
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Description

Technical Field

[0001] This application belongs to the field of online detection technology for fluid pollution control, and more specifically, relates to a filter cartridge flow analysis method, and a method and apparatus for predicting the remaining life of the filter cartridge. Background Technology

[0002] Oil is the lifeblood of industry, widely used in transportation, power, metallurgy, machinery, and shipbuilding. Oil filter elements, as critical consumables ensuring oil cleanliness, must be replaced promptly when the pressure differential reaches a set value; otherwise, they risk damage.

[0003] Replacing filter elements in a hydraulic system often requires immediate shutdown. For operating electric locomotives, steam turbines generating electricity, and steel mills producing steel, sudden system shutdowns can result in significant economic losses. Predicting filter element lifespan and replacing near-life-limiting elements during maintenance can positively impact a company's safe and economical production.

[0004] However, while the need for filter replacement is indicated by the filter pressure differential, the fundamental reason for filter failure is the large accumulation of filtered solid particles. Predicting filter lifespan essentially involves analyzing the contaminant content (i.e., dirt holding capacity) in the working filter.

[0005] Currently, filters typically only measure indicators such as differential pressure and contamination level, making it difficult to analyze the actual dirt-holding capacity of the filter element. Furthermore, hydraulic systems generally lack flow meters, and under fluctuating flow rates, the amount of solid particles filtered by the filter element varies at different times. Therefore, current technology makes it difficult to directly analyze filter element lifespan. Summary of the Invention

[0006] In view of the shortcomings of the prior art, the purpose of this application is to provide a filter cartridge flow analysis method, and a method and device for predicting the remaining life of the filter cartridge, which aims to solve the problem that the prior art is difficult to directly analyze the remaining life of the filter cartridge under fluctuating flow.

[0007] To achieve the above objectives, in a first aspect, this application provides a filter cartridge flow analysis method based on differential pressure and contamination level, comprising:

[0008] S1. Real-time acquisition of filter element pressure difference and upstream contamination level at various times under operating conditions;

[0009] S2. Based on the upstream contamination level at each moment, calculate the amount of dirt held at each moment under the working conditions in real time. By matching the filter element pressure difference-dirt holding capacity mapping table determined under the rated working flow rate under the test conditions, determine the filter element pressure difference under the test conditions corresponding to the amount of dirt held.

[0010] S3. Calculate the real-time working flow rate of the filter element by combining the filter element pressure difference under the combined working conditions, the filter element pressure difference under the combined working conditions, and the rated working flow rate, using the linear relationship between pressure difference and flow rate under the premise of the same dirt holding capacity.

[0011] Preferably, in step S2, the formula for calculating the amount of contaminant m(t) at each moment under the working conditions is as follows:

[0012]

[0013] In the formula, n represents the number of jumps in the measured pressure difference and contamination level up to the current moment, Q0 represents the rated operating flow rate of the filter element, and ΔP m(t)k This indicates that the filter element has been running for t k The pressure difference corresponding to the cumulative amount of contaminants held over time, ΔP k Indicates t k Pressure difference over a time period, C k Indicates t k Pollution level over a period of time, t k This indicates that the measured pressure difference remains constant at ΔP. k Pollution level remained at C k The time.

[0014] Preferably, in step S3, the real-time operating flow rate Q of the filter element t The calculation formula is as follows:

[0015]

[0016] In the formula, ΔP t ΔP represents the measured pressure difference of the filter element at time t. m(t) Q0 represents the filter element pressure difference under test conditions when the dirt holding capacity is m(t), and Q0 represents the rated working flow rate of the filter element.

[0017] To achieve the above objectives, in a second aspect, this application provides a method for predicting the remaining life of a filter element, comprising:

[0018] The real-time operating flow rate of the filter element at each moment is determined by the flow analysis method described in the first aspect.

[0019] S4. Calculate the average working flow rate up to the current moment based on the real-time working flow rate of the filter element at each moment;

[0020] S5. Combining the average working flow rate and rated working flow rate up to the current moment, and using the linear relationship between pressure difference and flow rate under the same dirt holding capacity, calculate the filter element pressure difference under test conditions when the filter element reaches the replacement pressure difference under working conditions;

[0021] S6. The filter element pressure differential matching mapping table under the test conditions when the filter element reaches the replacement pressure differential under working conditions determines the corresponding dirt holding capacity and further predicts the dirt holding capacity of the filter element when it reaches the replacement pressure differential.

[0022] S7. Calculate the remaining life of the filter element based on the ratio of the amount of dirt held when the filter element reaches the alarm differential pressure to the amount of dirt held by the filter element under working conditions up to the current moment.

[0023] Preferably, in step S4, the average working flow up to the current time is... The calculation formula is as follows:

[0024]

[0025] In the formula, n represents the number of jumps in the measured pressure difference and pollution level up to the current moment, and Q k This indicates that the filter element has been running for t k The real-time operating flow rate of the filter element is calculated over time, t k This indicates that the measured pressure difference remains constant at ΔP. k Pollution level remained at C k The time.

[0026] Preferably, in step S5, the filter element pressure difference ΔP under the test conditions corresponding to the pressure difference required for replacement under operating conditions is... m(t)终 The calculation formula is as follows:

[0027]

[0028] In the formula, ΔP 终 This indicates a change in differential pressure. Q0 represents the average operating flow rate up to the current moment, and Q0 represents the rated operating flow rate of the filter element.

[0029] Preferably, in step S6, the filter element pressure difference ΔP is the filter element pressure difference under the test conditions corresponding to the pressure difference required for replacement under operating conditions. m(t)终 Match the mapping table to determine the corresponding contaminant capacity m(t). n The table lookup method is as follows: determine ΔP simultaneously m(t)n <ΔP m(t)终 And ΔP m(t)n+1 >ΔP m(t)终 The amount of pollutants that can be carried by m(t) n , where ΔP m(t)n This indicates that when there is no ΔP in the mapping table m(t)终 When the corresponding value is found, ΔP in the mapping table m(t) Arranged from largest to smallest, the last one is less than ΔP. m(t)终 The value of ΔP; m(t)n+1 This indicates that when there is no ΔP in the mapping table m(t)终 When the corresponding value is found, ΔP in the mapping table m(t) Arranged from largest to smallest, the first one is greater than ΔP. m(t)终 The value of m(t); n Represents ΔP in the mapping table m(t)nThe amount of contaminant that can be mapped; m(t) n+1 Represents ΔP in the mapping table m(t)n+1 The amount of contamination that can be mapped.

[0030] Preferably, in step S6, the filter element reaches the dirt-holding capacity m(t) when the replacement pressure differential is reached. 终 The calculation formula is as follows:

[0031]

[0032] Preferably, in step S7, the formula for calculating the remaining lifespan ΔT of the filter element is as follows:

[0033]

[0034] In the formula, m(t) 终 This indicates the amount of dirt that the filter element can hold when it reaches the replacement pressure differential. T represents the cumulative working time of the filter element, and m(T) represents the cumulative amount of dirt that the filter element can hold within the cumulative working time under the working conditions.

[0035] To achieve the above objectives, in a third aspect, this application provides a device for predicting the remaining life of a filter element, comprising: a differential pressure sensor, a contamination sensor, a clock, at least one processor, and at least one memory;

[0036] The differential pressure sensor and the contamination sensor are used to detect the differential pressure ΔP of the filter element in real time. t and upstream pollution level C t And transmit it to the processor;

[0037] The clock is used to record the filter element's working time t in real time and transmit it to the processor;

[0038] The at least one memory is used to store computer instructions;

[0039] The at least one processor is configured to execute at least a portion of the computer instructions to implement the prediction method described in the second aspect.

[0040] Overall, the technical solutions conceived in this application have the following beneficial effects compared with the prior art:

[0041] (1) This application provides a filter cartridge flow analysis method based on pressure difference and contamination degree. Based on the two information of pressure difference and contamination degree of the filter cartridge, the dirt-holding state of the filter cartridge is determined, which facilitates the intelligent maintenance and upgrading of the filter. Under the condition that there is no flow detection in a large number of industrial sites, the system flow detection and analysis is realized based on the pressure drop characteristics of the filter cartridge.

[0042] (2) This application provides a method and apparatus for predicting the remaining life of a filter element. Based on the pressure difference of the filter element, the real-time working flow rate of the filter element is analyzed, and combined with the real-time pollution level of the upstream, the dirt holding capacity of the filter element is analyzed. Thus, under variable flow conditions, the remaining life of the filter element is analyzed and predicted, which facilitates users to perform predictive maintenance on the filter element. Attached Figure Description

[0043] Figure 1 This is a flowchart of a filter cartridge flow analysis method based on pressure difference and contamination level provided in an embodiment of this application.

[0044] Figure 2 This is a flowchart of a method for predicting the remaining life of a filter element provided in an embodiment of this application.

[0045] Figure 3 This is a schematic diagram of a filter cartridge remaining life prediction device provided in an embodiment of this application. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0047] In this article, the term "and / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. The symbol " / " in this article indicates that the related objects are in an "or" relationship; for example, A / B means A or B.

[0048] The terms "first" and "second," etc., used in the specification and claims herein are used to distinguish different objects, not to describe a specific order of objects. For example, "first response message" and "second response message," etc., are used to distinguish different response messages, not to describe a specific order of response messages.

[0049] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0050] In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more, for example, multiple processing units means two or more processing units, multiple elements means two or more elements, etc.

[0051] Next, the technical solutions provided in the embodiments of this application will be described.

[0052] For corrugated fiberglass filter media or metal mesh filter cartridges, the filter cartridge pressure differential and flow rate have a linear relationship. That is, under any contamination level m, the filter cartridge pressure differential and filter cartridge flow rate conform to the following formula:

[0053]

[0054] In the formula, ΔP represents the filter element pressure difference, Q represents the filter element flow rate, μ represents the oil viscosity, K represents the filter element flow coefficient, and A represents the filter element flow area.

[0055] Further, the relationship under the same pollution level is obtained:

[0056]

[0057] In the formula, ΔP1 represents the filter element pressure difference at flow rate Q1; ΔP2 represents the filter element pressure difference at flow rate Q2.

[0058] Utilizing the above characteristics, such as Figure 1 As shown, this application provides a filter cartridge flow analysis method based on differential pressure and contamination level, including:

[0059] S1. Real-time acquisition of filter element pressure difference and upstream contamination level at various times under operating conditions.

[0060] S2. Based on the upstream contamination level at each moment, calculate the amount of dirt held at each moment under the working conditions in real time. By matching the filter element pressure difference-dirt holding capacity mapping table determined under the rated working flow rate under the test conditions, determine the filter element pressure difference under the test conditions corresponding to the amount of dirt held.

[0061] Determine the filter element pressure difference ΔP under the rated flow rate under test conditions. m(t) The relationship between the amount of contaminant m(t) and the amount of contaminant is stored in the form of a mapping table.

[0062] Preferably, in step S2, the formula for calculating the amount of contaminant m(t) at each moment under the working conditions is as follows:

[0063]

[0064] In the formula, n represents the number of jumps in the measured pressure difference and contamination level up to the current moment, Q0 represents the rated operating flow rate of the filter element, and ΔP m(t)k This indicates that the filter element has been running for t k The pressure difference corresponding to the cumulative amount of contaminants held over time, ΔP k Indicates t k Pressure difference over a time period, C k Indicates t k Pollution level over a period of time, t kThis indicates that the measured pressure difference remains constant at ΔP. k Pollution level remained at C k The time frame. Due to the amount of contaminant absorbed in a short period of time, m(t)k can be approximated as m(t)(k-1).

[0065] S3. Calculate the real-time working flow rate of the filter element by combining the filter element pressure difference under the combined working conditions, the filter element pressure difference under the combined working conditions, and the rated working flow rate, using the linear relationship between pressure difference and flow rate under the premise of the same dirt holding capacity.

[0066] Preferably, in step S3, the real-time operating flow rate Q of the filter element t The calculation formula is as follows:

[0067]

[0068] In the formula, ΔP t ΔP represents the measured pressure difference of the filter element at time t. m(t) Q0 represents the filter element pressure difference under test conditions when the dirt holding capacity is m(t), and Q0 represents the rated working flow rate of the filter element.

[0069] like Figure 2 As shown above, this application provides a method for predicting the remaining life of a filter element, comprising:

[0070] Using the above flow analysis method, the real-time operating flow rate of the filter element at each moment is determined.

[0071] S4. Calculate the average working flow rate up to the current moment based on the real-time working flow rate of the filter element at each moment.

[0072] Preferably, in step S4, the average working flow up to the current time is... The calculation formula is as follows:

[0073]

[0074] In the formula, n represents the number of jumps in the measured pressure difference and pollution level up to the current moment, and Q k This indicates that the filter element has been running for t k The real-time operating flow rate of the filter element is calculated over time, t k This indicates that the measured pressure difference remains constant at ΔP. k Pollution level remained at C k The time.

[0075] S5. Combining the average working flow rate and rated working flow rate up to the current moment, and using the linear relationship between pressure difference and flow rate under the same dirt holding capacity, calculate the filter element pressure difference under the test conditions when the filter element reaches the replacement pressure difference under the working conditions.

[0076] Preferably, in step S5, the filter element pressure difference ΔP under the test conditions corresponding to the pressure difference required for replacement under operating conditions is... m(t)终 The calculation formula is as follows:

[0077]

[0078] In the formula, ΔP 终 This indicates a change in differential pressure. Q0 represents the average operating flow rate up to the current moment, and Q0 represents the rated operating flow rate of the filter element.

[0079] S6. The filter element pressure differential matching mapping table under the test conditions when the filter element reaches the replacement pressure differential under working conditions determines the corresponding dirt holding capacity and further predicts the dirt holding capacity when the filter element reaches the replacement pressure differential.

[0080] Preferably, in step S6, the filter element reaches the dirt-holding capacity m(t) when the replacement pressure differential is reached. 终 The calculation formula is as follows:

[0081]

[0082] S7. Calculate the remaining life of the filter element based on the ratio of the amount of dirt held when the filter element reaches the alarm differential pressure to the amount of dirt held by the filter element under working conditions up to the current moment.

[0083] Preferably, in step S6, the filter element pressure difference ΔP is the filter element pressure difference under the test conditions corresponding to the pressure difference required for replacement under operating conditions. m(t)终 Match the mapping table to determine the corresponding contaminant capacity m(t). n The table lookup method is as follows: determine ΔP simultaneously m(t)n <ΔP m(t)终 And ΔP m(t)n+1 >ΔP m(t)终 The amount of pollutants that can be carried by m(t) n , where ΔP m(t)n This indicates that when there is no ΔP in the mapping table m(t)终 When the corresponding value is found, ΔP in the mapping table m(t) Arranged from largest to smallest, the last one is less than ΔP. m(t)终 The value of ΔP; m(t)n+1 This indicates that when there is no ΔP in the mapping table m(t)终 When the corresponding value is found, ΔP in the mapping table m(t) Arranged from largest to smallest, the first one is greater than ΔP. m(t)终 The value of m(t); n Represents ΔP in the mapping table m(t)n The amount of contaminant that can be mapped; m(t) n+1 Represents ΔP in the mapping table m(t)n+1 The amount of contamination that can be mapped.

[0084] Preferably, in step S7, the formula for calculating the remaining lifespan ΔT of the filter element is as follows:

[0085]

[0086] In the formula, m(t) 终 This indicates the amount of dirt that the filter element can hold when it reaches the replacement pressure differential. T represents the cumulative working time of the filter element, and m(T) represents the cumulative amount of dirt that the filter element can hold within the cumulative working time under the working conditions.

[0087] If the filter element reaches the end of its service life, the system will output "Filter Element Life End" to remind the user to replace the filter. This ensures timely filter replacement, preventing damage to the engine, and also avoids waste caused by premature filter replacement.

[0088] Correspondingly, such as Figure 3 As shown, this application provides a device for predicting the remaining life of a filter element, comprising: a differential pressure sensor, a contamination sensor, a clock, at least one processor, and at least one memory; the differential pressure sensor and the contamination sensor are used to detect the differential pressure ΔP of the filter element in real time. t and upstream pollution level C t The clock is used to record the filter element's working time t in real time and transmit it to the processor; the at least one memory is used to store computer instructions; the at least one processor is used to execute at least some of the computer instructions to implement the above prediction method.

[0089] In this embodiment, the filter element pressure difference ΔP is detected in real time. t Upstream pollution level C t Among them, the filter element differential pressure detection accuracy is ±0.1%FS, and the upstream contamination detection accuracy is ±10%.

[0090] It is understood that the detailed functional implementation of each of the above units / modules can be found in the description in the aforementioned method embodiments, and will not be repeated here.

[0091] It should be understood that the above-described device is used to execute the methods in the above embodiments. The implementation principle and technical effect of the corresponding program modules in the device are similar to those described in the above methods. The working process of the device can be referred to the corresponding process in the above methods, and will not be repeated here.

[0092] Furthermore, when the logical instructions in the memory can be implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application.

[0093] Based on the methods in the above embodiments, this application provides a computer-readable storage medium storing a computer program that, when run on a processor, causes the processor to execute the methods in the above embodiments.

[0094] Based on the methods in the above embodiments, this application provides a computer program product that, when run on a processor, causes the processor to execute the methods in the above embodiments.

[0095] It is understood that the processor in the embodiments of this application can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. A general-purpose processor can be a microprocessor or any conventional processor.

[0096] The method steps in this application embodiment can be implemented in hardware or by a processor executing software instructions. The software instructions can consist of corresponding software modules, which can be stored in random access memory (RAM), flash memory, read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), registers, hard disks, portable hard disks, CD-ROMs, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can reside in an ASIC.

[0097] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0098] It is understood that the various numerical designations used in the embodiments of this application are merely for the convenience of description and are not intended to limit the scope of the embodiments of this application.

[0099] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A filter cartridge flow rate analysis method based on pressure difference and contamination level, characterized in that, include: S1. Real-time acquisition of filter element pressure difference and upstream contamination level at various times under operating conditions; S2. Based on the upstream contamination level at each moment, calculate the amount of dirt held at each moment under the working conditions in real time. By matching the filter element pressure difference-dirt holding capacity mapping table determined under the rated working flow rate under the test conditions, determine the filter element pressure difference under the test conditions corresponding to the amount of dirt held. S3. Based on the filter element pressure difference under combined working conditions, the filter element pressure difference under test conditions, and the rated working flow rate, the real-time working flow rate of the filter element is calculated using the linear relationship between pressure difference and flow rate under the same dirt holding capacity. In step S2, the amount of contaminants held at each moment under operating conditions. The calculation formula is as follows: In the formula, This indicates the number of jumps in the measured pressure difference and pollution level up to the current moment. Indicates the rated operating flow rate of the filter element. Indicates that the filter element is running at... The pressure difference corresponding to the cumulative amount of contaminants held over time. Pressure difference over a period of time Pollution levels over a period of time This indicates that the measured pressure difference remains constant. Pollution levels remain high Time; In step S3, the real-time operating flow rate of the filter element is... The calculation formula is as follows: In the formula, Indicates time Actual filter element pressure difference measurement Indicates the amount of pollutants that can be carried out. Filter element pressure difference under test conditions This indicates the rated operating flow rate of the filter element.

2. A method for predicting the remaining lifespan of a filter element, characterized in that, include: The real-time operating flow rate of the filter element at each moment is determined using the flow analysis method described in claim 1. S4. Calculate the average working flow rate up to the current moment based on the real-time working flow rate of the filter element at each moment; S5. Combining the average working flow rate and rated working flow rate up to the current moment, and using the linear relationship between pressure difference and flow rate under the same dirt holding capacity, calculate the filter element pressure difference under test conditions when the filter element reaches the replacement pressure difference under working conditions; S6. Filter element pressure differential matching mapping table under test conditions when the filter element reaches the replacement pressure differential under working conditions, to determine the corresponding dirt holding capacity and predict the dirt holding capacity of the filter element when it reaches the replacement pressure differential; S7. Calculate the remaining life of the filter element based on the ratio of the amount of dirt held when the filter element reaches the alarm differential pressure to the amount of dirt held by the filter element under working conditions up to the current moment.

3. The prediction method as described in claim 2, characterized in that, In step S4, the average working flow up to the current time is calculated. The calculation formula is as follows: In the formula, Indicates that the filter element is running at... The real-time operating flow rate of the filter element is calculated over time.

4. The prediction method as described in claim 2, characterized in that, In step S5, the filter element pressure differential under the test conditions corresponding to the pressure differential required for replacement under operating conditions is... The calculation formula is as follows: In the formula, This indicates a change in differential pressure. This represents the average workload up to the current time.

5. The prediction method as described in claim 2, characterized in that, In step S6, the filter element pressure difference under the test conditions corresponding to the pressure difference required for replacement under operating conditions is... Match the mapping table to determine the corresponding contaminant capacity. The table lookup method is: determine simultaneously < and > Pollution capacity ,in, This indicates that when there is no [something] in the mapping table When the corresponding value is in the mapping table Arranged from largest to smallest, the last one is less than The value; This indicates that when there is no [something] in the mapping table When the corresponding value is in the mapping table Arranged from largest to smallest, the first one is greater than The value; Represents the mapping table The amount of contaminant that can be mapped; Represents the mapping table The amount of contamination that can be mapped.

6. The prediction method as described in claim 5, characterized in that, In step S6, the filter element reaches the dirt holding capacity when the pressure differential is reached for replacement. The calculation formula is as follows: 。 7. The prediction method as described in claim 2, characterized in that, In step S7, the remaining lifespan of the filter element... The calculation formula is as follows: In the formula, This indicates the amount of dirt that the filter element can hold when the pressure differential reaches the replacement level. Indicates the cumulative working time of the filter element. This indicates the cumulative amount of dirt held by the filter element during the cumulative working time under operating conditions.

8. A device for predicting the remaining life of a filter element, characterized in that, include: Differential pressure sensor, contamination sensor, clock, at least one processor, and at least one memory; The differential pressure sensor and the contamination sensor are used to detect the differential pressure of the filter element in real time. and upstream pollution levels And transmit it to the processor; The clock is used to record the filter element's working time t in real time and transmit it to the processor; The at least one memory is used to store computer instructions; The at least one processor is configured to execute at least a portion of the computer instructions to implement the prediction method according to any one of claims 2 to 7.

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