Filter element abnormity management and control method and device based on multi-modal parameters

Abstract

The invention relates to the technical field of water purification equipment, and discloses a filter element abnormity management and control method and device based on multi-modal parameters. The method comprises the following steps: determining a first filter element replacement detection parameter of a target filter element aiming at a filter membrane / sealing O ring service life level, a second filter element replacement detection parameter aiming at a purification capability level and a third filter element replacement detection parameter aiming at a water quantity capability / filter capability level; according to the detection parameter judgment priority scheme and the filter element abnormity judgment condition, determining target element replacement detection parameters for preferably carrying out filter element abnormity response; and according to the target core change detection parameters, executing filter core abnormity coping operation. Therefore, by implementing the method, the comprehensiveness, rationality and pertinence of a filter element abnormity management and control mode can be improved, the diversity, flexibility and comprehensiveness of element replacement detection parameters are improved, the abnormity management and control accuracy and efficiency of the filter element are improved, and the replacement accuracy, efficiency, convenience and timeliness of the filter element are improved; the use stability and the use reliability of the water purification equipment are improved.

Description

Technical Field

[0001] This invention relates to the field of water purification equipment technology, and in particular to a method and device for controlling filter cartridge anomalies based on multimodal parameters. Background Technology

[0002] With the development of science and technology and the improvement of people's living standards, water purification equipment has become a necessity for many families. Water purification equipment mainly filters the input water through filter cartridges to output clean and safe drinking water. Therefore, managing and responding to abnormal conditions of the filter cartridges of water purification equipment is a major application requirement.

[0003] Currently, the main methods for managing and responding to filter cartridge malfunctions in water purifiers rely on users' subjective predictions or visual inspection of the filter's output water to determine if an malfunction exists and whether intervention is necessary. Alternatively, users may only address the filter malfunction when the purifier and filter fail to operate properly. However, subjective judgments are influenced by various factors, leading to inaccuracies even when analyzing the same purifier and filter. Therefore, existing methods suffer from low accuracy and efficiency in managing filter cartridge malfunctions. Thus, providing a method to improve the accuracy and efficiency of filter cartridge malfunction management is crucial. Summary of the Invention

[0004] This invention provides a method and device for filter cartridge anomaly control based on multimodal parameters, which can improve the accuracy and efficiency of filter cartridge anomaly control, thereby improving the accuracy, efficiency and convenience of filter cartridge replacement, and thus improving the stability and reliability of water purification equipment.

[0005] To address the aforementioned technical problems, the first aspect of this invention discloses a filter cartridge anomaly control method based on multimodal parameters, the method comprising: The first replacement test parameter for the target filter element in terms of filter membrane / sealing O-ring lifespan is determined, the second replacement test parameter for the target filter element in terms of purification capacity is determined, and the third replacement test parameter for the target filter element in terms of water volume / filtration capacity is determined. Based on the established priority scheme for the detection parameters and the filter element anomaly assessment conditions for each filter element replacement detection parameter, the target filter element replacement detection parameters for optimal filter element anomaly response are determined. Based on the target filter replacement detection parameters, perform the corresponding filter abnormality response operation.

[0006] As an optional implementation, in the first aspect of the present invention, the step of performing corresponding filter cartridge anomaly response operations based on the target filter cartridge replacement detection parameters includes: When the target filter replacement detection parameter includes the first filter replacement detection parameter, a first reminder message is generated and pushed to the user. The first reminder message includes one or more of the following: filter replacement reminder message, parameter information about to fail, parameter information that has already failed, failure reason information, and filter purchase link information. When the target filter replacement detection parameters include the second filter replacement detection parameters and / or the third filter replacement detection parameters, a second reminder message is generated and pushed to the user. The second reminder message is used to remind the user to perform a filter replacement operation or to choose to adjust the filter working parameters to continue using the filter. The second reminder message also includes information on parameters that are about to fail and / or information on the reason for failure.

[0007] As an optional implementation, in the first aspect of the present invention, the method further includes: When a filter replacement trigger command is detected from the user in response to the second reminder information, a filter replacement purchase link for the target filter is pushed to the user; When the user's instruction to adjust the filter cartridge operating parameters in response to the second reminder information is detected, the type of operating parameter to be adjusted for the target filter cartridge and its corresponding specific adjustment scheme are determined according to the target filter cartridge replacement detection parameters; the type of operating parameter to be adjusted and its corresponding specific adjustment scheme are pushed to the user.

[0008] As an optional implementation, in the first aspect of the present invention, determining the preferred target filter replacement detection parameters for handling filter abnormalities based on the determined detection parameter evaluation priority scheme and the filter abnormality evaluation conditions for each filter replacement detection parameter includes: Based on the established priority evaluation scheme for detection parameters, the first core replacement detection parameter to be analyzed is determined to be the first core replacement detection parameter. Based on the filter element anomaly judgment conditions for the first filter element replacement detection parameters, perform corresponding filter element anomaly analysis operations on the first filter element replacement detection parameters to obtain the first anomaly analysis result. When the first anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of the service life of the filter membrane / sealing O ring, the first filter element replacement detection parameter is determined to be the preferred target filter element replacement detection parameter for handling filter element anomalies. When the first anomaly analysis result indicates that the target filter element does not have a preset filter element anomaly in terms of filter membrane / sealing O-ring lifespan, the filter replacement detection parameter to be analyzed in the middle is determined as the second filter replacement detection parameter according to the detection parameter evaluation priority scheme. Based on the filter element anomaly evaluation criteria for the second filter element replacement detection parameters, perform corresponding filter element anomaly analysis operations on the second filter element replacement detection parameters to obtain the second anomaly analysis results; When the second anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of purification capacity, the target filter element replacement detection parameters for priority filter element anomaly response include the second filter element replacement detection parameters. When the second anomaly analysis result indicates that the target filter element does not have a preset filter element anomaly in terms of purification capacity, the filter element replacement detection parameter is determined to be the third filter element replacement detection parameter according to the detection parameter evaluation priority scheme. Based on the filter element anomaly judgment conditions for the third filter element replacement detection parameter, perform corresponding filter element anomaly analysis operations on the third filter element replacement detection parameter to obtain the third anomaly analysis results. When the third anomaly analysis result indicates that the target filter cartridge has a preset filter cartridge anomaly in terms of water volume / filtration capacity, the target filter cartridge replacement detection parameters for priority filter cartridge anomaly response include the third filter cartridge replacement detection parameters.

[0009] As an optional implementation, in the first aspect of the present invention, after performing the corresponding filter cartridge anomaly response operation according to the target filter cartridge replacement detection parameters, the method further includes: Determine the historical replacement data and historical usage data corresponding to the target filter element; Based on the historical replacement data and / or the historical usage data, determine whether the target filter element meets the preset normal damage conditions. When it is determined that the target filter element does not meet the normal damage frequency condition, the causes of abnormal damage to the target filter element are analyzed based on the historical replacement data and the historical usage data; based on the causes of abnormal damage and the previous filter element performance parameters of the target filter element, the optimized filter element performance parameters of the target filter element are determined; based on the optimized filter element performance parameters, the optimized filter element usage plan corresponding to the target filter element is determined, and the optimized filter element usage plan is used to overcome the abnormal damage situation of the target filter element.

[0010] As an optional implementation, in the first aspect of the present invention, determining whether the target filter element meets preset conventional damage conditions based on the historical usage data includes: Based on the historical usage data, determine the historical damage type and the corresponding historical damage level of the target filter element; Determine whether the historical damage type is within a preset set of common damage types; When it is determined that the historical damage type is not in the set of normal damage types, it is determined that the target filter element does not meet the preset normal damage condition conditions; When it is determined that the historical damage type is in the set of normal damage types, it is determined whether the degree of historical damage is greater than or equal to the preset abnormal damage degree threshold. When it is determined that the historical damage level is greater than or equal to the abnormal damage level threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions; When it is determined that the historical damage level is less than the abnormal damage level threshold, the target filter element is determined to meet the preset normal damage condition conditions.

[0011] As an optional implementation, in the first aspect of the present invention, determining whether the target filter element meets the preset conventional damage condition conditions based on the historical replacement data includes: Based on the historical replacement data, determine the historical replacement frequency corresponding to the target filter element; Determine whether the historical replacement frequency is greater than or equal to a preset abnormal replacement frequency threshold; When it is determined that the historical replacement frequency is greater than or equal to the abnormal replacement frequency threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions. When it is determined that the historical replacement frequency is less than the abnormal replacement frequency threshold, the target filter element is determined to meet the preset normal damage condition conditions.

[0012] A second aspect of this invention discloses a filter cartridge anomaly control device based on multimodal parameters, the device comprising: The information determination module is used to determine the first replacement detection parameters of the target filter element in terms of the service life of the filter membrane / sealing O-ring, the second replacement detection parameters of the target filter element in terms of the purification capacity, and the third replacement detection parameters of the target filter element in terms of the water volume capacity / filtration capacity. The anomaly analysis module is used to determine the target replacement detection parameters for optimal filter element anomaly response based on the determined priority scheme of the detection parameters and the filter element anomaly judgment conditions for each replacement detection parameter. The anomaly response module is used to perform corresponding filter cartridge anomaly response operations based on the target filter cartridge replacement detection parameters.

[0013] As an optional implementation, in the second aspect of the present invention, the method by which the anomaly response module performs corresponding filter cartridge anomaly response operations based on the target filter cartridge replacement detection parameters specifically includes: When the target filter replacement detection parameter includes the first filter replacement detection parameter, a first reminder message is generated and pushed to the user. The first reminder message includes one or more of the following: filter replacement reminder message, parameter information about to fail, parameter information that has already failed, failure reason information, and filter purchase link information. When the target filter replacement detection parameters include the second filter replacement detection parameters and / or the third filter replacement detection parameters, a second reminder message is generated and pushed to the user. The second reminder message is used to remind the user to perform a filter replacement operation or to choose to adjust the filter working parameters to continue using the filter. The second reminder message also includes information on parameters that are about to fail and / or information on the reason for failure.

[0014] As an optional implementation, in a second aspect of the present invention, the anomaly response module is further configured to: when a filter replacement trigger command is detected from the user in response to the second reminder information, push a filter replacement purchase link for the target filter to the user; when a filter adjustment working parameter adjustment trigger command is detected from the user in response to the second reminder information, determine the type of working parameter to be adjusted for the target filter and its corresponding specific adjustment scheme based on the target filter replacement detection parameters; and push the type of working parameter to be adjusted and its corresponding specific adjustment scheme to the user.

[0015] As an optional implementation, in the second aspect of the present invention, the method by which the anomaly analysis module determines the preferred target filter replacement detection parameters for handling filter anomalies based on the determined detection parameter evaluation priority scheme and the filter anomaly evaluation conditions for each filter replacement detection parameter specifically includes: Based on the established priority evaluation scheme for detection parameters, the first core replacement detection parameter to be analyzed is determined to be the first core replacement detection parameter. Based on the filter element anomaly judgment conditions for the first filter element replacement detection parameters, perform corresponding filter element anomaly analysis operations on the first filter element replacement detection parameters to obtain the first anomaly analysis result. When the first anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of the service life of the filter membrane / sealing O ring, the first filter element replacement detection parameter is determined to be the preferred target filter element replacement detection parameter for handling filter element anomalies. When the first anomaly analysis result indicates that the target filter element does not have a preset filter element anomaly in terms of filter membrane / sealing O-ring lifespan, the filter replacement detection parameter to be analyzed in the middle is determined as the second filter replacement detection parameter according to the detection parameter evaluation priority scheme. Based on the filter element anomaly evaluation criteria for the second filter element replacement detection parameters, perform corresponding filter element anomaly analysis operations on the second filter element replacement detection parameters to obtain the second anomaly analysis results; When the second anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of purification capacity, the target filter element replacement detection parameters for priority filter element anomaly response include the second filter element replacement detection parameters. When the second anomaly analysis result indicates that the target filter element does not have a preset filter element anomaly in terms of purification capacity, the filter element replacement detection parameter is determined to be the third filter element replacement detection parameter according to the detection parameter evaluation priority scheme. Based on the filter element anomaly judgment conditions for the third filter element replacement detection parameter, perform corresponding filter element anomaly analysis operations on the third filter element replacement detection parameter to obtain the third anomaly analysis results. When the third anomaly analysis result indicates that the target filter cartridge has a preset filter cartridge anomaly in terms of water volume / filtration capacity, the target filter cartridge replacement detection parameters for priority filter cartridge anomaly response include the third filter cartridge replacement detection parameters.

[0016] As an optional implementation, in a second aspect of the present invention, the information determining module is further configured to determine the historical replacement data and historical usage data corresponding to the target filter element; The device further includes: The judgment module is used to determine whether the target filter element meets the preset normal damage conditions based on the historical replacement data and / or the historical usage data. The optimization scheme determination module is used to, when the judgment module determines that the target filter element does not meet the normal damage frequency condition, analyze the causes of abnormal damage to the target filter element based on the historical replacement data and the historical usage data; determine the optimized filter element performance parameters of the target filter element based on the causes of abnormal damage and the previous filter element performance parameters of the target filter element; and determine the optimized filter element usage scheme corresponding to the target filter element based on the optimized filter element performance parameters. The optimized filter element usage scheme is used to overcome the abnormal damage situation of the target filter element.

[0017] As an optional implementation, in the second aspect of the present invention, the method by which the determining module determines whether the target filter element meets the preset conventional damage conditions based on the historical usage data specifically includes: Based on the historical usage data, determine the historical damage type and the corresponding historical damage level of the target filter element; Determine whether the historical damage type is within a preset set of common damage types; When it is determined that the historical damage type is not in the set of normal damage types, it is determined that the target filter element does not meet the preset normal damage condition conditions; When it is determined that the historical damage type is in the set of normal damage types, it is determined whether the degree of historical damage is greater than or equal to the preset abnormal damage degree threshold. When it is determined that the historical damage level is greater than or equal to the abnormal damage level threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions; When it is determined that the historical damage level is less than the abnormal damage level threshold, the target filter element is determined to meet the preset normal damage condition conditions.

[0018] As an optional implementation, in the second aspect of the present invention, the method by which the determining module determines whether the target filter element meets the preset conventional damage conditions based on the historical replacement data specifically includes: Based on the historical replacement data, determine the historical replacement frequency corresponding to the target filter element; Determine whether the historical replacement frequency is greater than or equal to a preset abnormal replacement frequency threshold; When it is determined that the historical replacement frequency is greater than or equal to the abnormal replacement frequency threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions. When it is determined that the historical replacement frequency is less than the abnormal replacement frequency threshold, the target filter element is determined to meet the preset normal damage condition conditions.

[0019] A third aspect of the present invention discloses another filter cartridge anomaly control device based on multimodal parameters, the device comprising: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the filter cartridge anomaly control method based on multimodal parameters disclosed in the first aspect of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the filter cartridge anomaly control method based on multimodal parameters disclosed in the first aspect of the present invention.

[0021] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: In this embodiment of the invention, a first replacement detection parameter for the target filter element regarding the service life of the filter membrane / sealing O-ring is determined, a second replacement detection parameter for the target filter element regarding purification capacity is determined, and a third replacement detection parameter for the target filter element regarding water volume / filtration capacity is determined. Based on the determined detection parameter priority scheme and the filter element anomaly judgment conditions for each replacement detection parameter, the preferred target replacement detection parameters for handling filter element anomalies are determined. Based on these target replacement detection parameters, corresponding filter element anomaly handling operations are executed. Therefore, this invention can determine the preferred target replacement detection parameters for handling filter element anomalies and then execute corresponding filter element anomaly handling operations based on these parameters. This is beneficial for improving the comprehensiveness, rationality, and pertinence of filter element anomaly control methods, as well as for improving the diversity, flexibility, comprehensiveness, and pertinence of the target filter element's replacement detection parameters. This, in turn, is beneficial for improving the accuracy and reliability of filter element anomaly control, improving the efficiency and convenience of filter element anomaly control, thereby improving the accuracy, efficiency, convenience, and timeliness of filter element replacement, and further improving the stability and reliability of water purification equipment. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a schematic diagram illustrating the applicable scenario for a filter element anomaly control method based on multimodal parameters disclosed in an embodiment of the present invention. Figure 2 This is a flowchart illustrating a filter element anomaly control method based on multimodal parameters disclosed in an embodiment of the present invention. Figure 3 This is a flowchart illustrating another filter element anomaly control method based on multimodal parameters disclosed in an embodiment of the present invention. Figure 4 This is a schematic diagram of the structure of a filter cartridge anomaly control device based on multimodal parameters disclosed in an embodiment of the present invention; Figure 5 This is a schematic diagram of another filter cartridge anomaly control device based on multimodal parameters disclosed in an embodiment of the present invention; Figure 6 This is a schematic diagram of another filter cartridge anomaly control device based on multimodal parameters disclosed in an embodiment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0026] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0027] This invention discloses a filter cartridge anomaly control method and device based on multimodal parameters. It can determine the optimal target filter cartridge replacement detection parameters for handling anomalies and then execute corresponding filter cartridge anomaly handling operations based on these parameters. This improves the comprehensiveness, rationality, and targeting of filter cartridge anomaly control methods, as well as the diversity, flexibility, comprehensiveness, and targeting of target filter cartridge replacement detection parameters. This, in turn, improves the accuracy and reliability of filter cartridge anomaly control, and enhances its efficiency and convenience. Consequently, it improves the accuracy, efficiency, convenience, and timeliness of filter cartridge replacement, further enhancing the stability and reliability of water purification equipment. Detailed descriptions follow.

[0028] To better understand the filter cartridge anomaly control method and apparatus based on multimodal parameters described in this invention, the applicable scenario architecture for a filter cartridge anomaly control method based on multimodal parameters is first described. Specifically, this scenario architecture can be as follows: Figure 1As shown, the filter cartridge anomaly control method based on multimodal parameters can be applied to scenarios including filter cartridges in intelligent water purification equipment. It determines the first filter cartridge replacement detection parameter in terms of filter membrane / sealing O-ring lifespan, the second filter cartridge replacement detection parameter in terms of purification capacity, and the third filter cartridge replacement detection parameter in terms of water volume / filtration capacity. It further determines the preferred target filter cartridge replacement detection parameter for filter cartridge anomaly response from the first, second, and third filter cartridge replacement detection parameters, and performs the corresponding filter cartridge anomaly response operation based on the target filter cartridge replacement detection parameter. For example: When it is determined that the target filter cartridge meets abnormal conditions in terms of filter membrane / sealing O-ring lifespan (i.e., the target cartridge replacement test draft includes the first cartridge replacement test parameters), a push notification is sent to remind the user to replace the cartridge, providing the parameters indicating impending failure and the reason for failure, as well as a link to purchase the new filter cartridge. When it is determined that the target filter cartridge meets abnormal conditions in terms of purification capacity and / or water flow / filtration capacity, a push notification is sent to remind the user to choose to replace the cartridge or adjust the operating parameters to continue using it, providing the parameters indicating impending failure and the reason for failure. Furthermore, if the user chooses to replace the cartridge, a link to purchase the new cartridge is sent; if the user chooses to continue using it, an adjustment plan for the operating parameters is provided for the user to adjust and confirm. The adjustment plan may include, but is not limited to, reducing the water flow rate / increasing the wastewater volume / adjusting TDS, etc., thereby achieving intelligent management of filter cartridge abnormalities in smart water purification equipment.

[0029] It should be noted that, Figure 1 The schematic diagram shown is only intended to illustrate a scenario applicable to a filter cartridge anomaly control method based on multimodal parameters. The various smart devices involved are only illustrative; their specific structures, sizes, shapes, locations, installation methods, and communication methods between the smart devices can be adaptively adjusted according to the actual scenario. Figure 1 The scenario shown is not limited to this.

[0030] Example 1 Please see Figure 2 , Figure 2 This is a flowchart illustrating a filter cartridge anomaly control method based on multimodal parameters disclosed in an embodiment of the present invention. Figure 2 The described method can be applied to a filter cartridge anomaly control device based on multimodal parameters. This device may include a server, which may be a local server or a cloud server; this embodiment of the invention is not limited to this. Figure 2 As shown, the filter cartridge anomaly control method based on multimodal parameters includes the following operations: 101. Determine the first replacement test parameters for the target filter element in terms of filter membrane / sealing O-ring lifespan, determine the second replacement test parameters for the target filter element in terms of purification capacity, and determine the third replacement test parameters for the target filter element in terms of water volume / filtration capacity.

[0031] Optionally, the first replacement detection parameter for the service life of the filter membrane / sealing O-ring may include, but is not limited to, the aging life of the sealing O-ring under user operating conditions and the aging life of the filter membrane under user operating conditions; furthermore, the aging life of the filter membrane under user operating conditions can be determined by water quality, working pressure, working time, settling time, etc., and this embodiment of the invention does not limit it.

[0032] Optionally, the second filter replacement detection parameter for purification capacity may include, but is not limited to, one or more of the following: effluent TDS value, inflection point of effluent TDS value change curve, influent / effluent TDS value ratio, pure / wastewater TDS value ratio, etc., and the embodiments of the present invention are not limited thereto.

[0033] Optionally, the third filter replacement detection parameter for water volume / filtration capacity may include, but is not limited to, one or more of the following: total filtration volume, water flow rate attenuation, water flow rate change, pump operating resistance, membrane inlet pressure, and pressure difference before and after the membrane. This embodiment of the invention does not limit the parameters.

[0034] 102. Based on the determined priority scheme for the detection parameters and the filter element anomaly judgment conditions for each filter element replacement detection parameter, determine the target filter element replacement detection parameters for optimal filter element anomaly response.

[0035] Optionally, a priority scheme for evaluating detection parameters can be used, for example: the first core replacement detection parameter takes precedence over the second core replacement detection parameter, and the second core replacement detection parameter takes precedence over the third core replacement detection parameter. This embodiment of the invention is not limited to this.

[0036] 103. Based on the target filter replacement detection parameters, perform the corresponding filter abnormality response operations.

[0037] Optionally, the filter cartridge malfunction response operations may include, but are not limited to, pushing filter cartridge malfunction prompts, pushing filter cartridge replacement reminders to users, providing parameters of impending failure and reasons for failure, pushing filter cartridge purchase links, purchasing and replacing filter cartridges, adjusting filter cartridge operating parameters, etc., and the embodiments of the present invention are not limited thereto.

[0038] As can be seen, the filter cartridge anomaly control method based on multimodal parameters described in the embodiments of the present invention can determine the preferred target filter cartridge replacement detection parameters for responding to filter cartridge anomalies, and then perform corresponding filter cartridge anomaly response operations based on the target filter cartridge replacement detection parameters. This is beneficial to improving the comprehensiveness, rationality, and pertinence of filter cartridge anomaly control methods, as well as the diversity, flexibility, comprehensiveness, and pertinence of target filter cartridge replacement detection parameters. This, in turn, is beneficial to improving the accuracy and reliability of filter cartridge anomaly control, as well as the efficiency and convenience of filter cartridge anomaly control. Consequently, it is beneficial to improve the accuracy, efficiency, convenience, and timeliness of filter cartridge replacement, and further beneficial to improving the stability and reliability of water purification equipment.

[0039] In an optional embodiment, after performing the corresponding filter cartridge anomaly response operation based on the target filter cartridge detection parameters, the method may further include the following operations: Determine the historical replacement and usage data corresponding to the target filter element; Based on historical replacement data and / or historical usage data, determine whether the target filter element meets the preset normal damage conditions. When it is determined that the target filter element does not meet the normal damage frequency conditions, the causes of the abnormal damage to the target filter element are analyzed based on historical replacement data and historical usage data. Based on the causes of the abnormal damage and the previous filter element performance parameters of the target filter element, the optimized filter element performance parameters of the target filter element are determined. Based on the optimized filter element performance parameters, the optimized filter element usage plan corresponding to the target filter element is determined. The optimized filter element usage plan is used to overcome the abnormal damage situation of the target filter element.

[0040] Optionally, historical replacement data may include, but is not limited to, one or more of the following: replacement time, replacement frequency, number of replacements, replacement scenario, replacement object, replacement filter type, replacement filter performance, replacement filter model, and specific replacement filter. This embodiment of the invention does not limit these data.

[0041] Optionally, historical usage data may include, but is not limited to, one or more of the following: historical damage type, historical damage extent, historical damage details, historical usage duration, historical usage scenario, historical usage parameters, historical usage object, and historical usage conditions. This embodiment of the invention does not impose any limitations on these data.

[0042] Alternatively, the method may further include the following operations: When it is determined that the target filter element meets the preset normal damage conditions, a predictive replacement plan is determined based on historical replacement data and / or historical usage data. The predictive replacement plan includes predictive replacement time points and / or predictive filter element replacement.

[0043] Optionally, the predictive replacement scheme is used to prompt the user to prepare for filter replacement in advance; further, the predictive replacement filter can be the same model as the filter to be replaced, or it can be another model of filter determined based on the performance optimization of the filter to be replaced. This embodiment of the invention does not limit the scope of the invention.

[0044] Optionally, the causes of abnormal damage may include the causes of conventional damage to the target filter element and / or the causes of unconventional damage; further, unconventional damage can be understood as damage that is not caused by normal wear and tear during use, and this embodiment of the invention does not limit it.

[0045] Further, optionally, the determination of optimized filter element performance parameters for the target filter element based on the cause of the abnormal damage and the previous filter element performance parameters may include: Based on the cause of the abnormal damage, the performance parameters of the previous filter element that caused the abnormal damage were determined from the previous filter element performance parameters of the target filter element. Based on the cause of the abnormal damage, determine whether the abnormal damage can be overcome by replacing the target filter element with a component that has the same performance parameters as the previous filter element. When the judgment result is yes, based on the cause of the abnormal damage and the previous performance parameters of the target filter element, determine the replacement plan of the same performance parts, which will serve as the optimized filter element performance parameters for the target filter element. When the judgment result is negative, the additional performance accessory configuration scheme of the target filter element is determined based on the cause of the abnormal damage, which serves as the optimized filter element performance parameter for the target filter element.

[0046] Optionally, the same performance component replacement scheme can be understood as optimizing and replacing the current components of the target filter element, while the additional performance component configuration scheme can be understood as adding new components to enhance the existing components of the target filter element. This embodiment of the invention does not limit the scope of the invention.

[0047] As can be seen, this optional embodiment can provide a corresponding optimized filter element usage scheme determination method when the target filter element meets the normal damage conditions. This is beneficial to improving the comprehensiveness and rationality of the optimized filter element usage scheme determination method, thereby improving the accuracy and reliability of the determined optimized filter element usage scheme, as well as improving the timeliness and accuracy of the optimization of the filter element usage scheme. This helps to reduce / avoid abnormal damage conditions of the filter element and improve the service life of the filter element.

[0048] In another optional embodiment, the above-mentioned determination of whether the target filter element meets the preset conventional damage conditions based on historical usage data may include: Based on historical usage data, determine the type of historical damage and the corresponding degree of historical damage for the target filter element; Determine whether the historical damage type is within the preset set of regular damage types; When it is determined that the historical damage type is not in the set of normal damage types, it is determined that the target filter element does not meet the preset normal damage condition conditions; When it is determined that the historical damage type is in the set of normal damage types, it is determined whether the degree of historical damage is greater than or equal to the preset abnormal damage degree threshold. When the historical damage level is determined to be greater than or equal to the abnormal damage level threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions; When the historical damage level is determined to be less than the abnormal damage level threshold, the target filter element is determined to meet the preset normal damage condition conditions.

[0049] As can be seen, this optional embodiment can determine the result of meeting the conventional damage condition by considering both the historical damage type and the historical damage degree. This is beneficial to improving the comprehensiveness, rationality, pertinence, and progressiveness of the method for determining the result of meeting the conventional damage condition, thereby improving the accuracy and reliability of the determined result of meeting the conventional damage condition.

[0050] In another optional embodiment, the above-mentioned determination of whether the target filter element meets the preset normal damage condition conditions based on historical replacement data may include: Determine the historical replacement frequency corresponding to the target filter element based on historical replacement data; Determine whether the historical replacement frequency is greater than or equal to the preset abnormal replacement frequency threshold; When it is determined that the historical replacement frequency is greater than or equal to the abnormal replacement frequency threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions. When it is determined that the historical replacement frequency is less than the abnormal replacement frequency threshold, the target filter element is determined to meet the preset normal damage condition conditions.

[0051] As can be seen, this optional embodiment can determine the result of the routine damage condition being met by comparing the historical replacement frequency with the corresponding threshold, which is beneficial to improving the comprehensiveness, rationality, diversity and flexibility of the method for determining the result of the routine damage condition being met, and thus is beneficial to improving the accuracy and reliability of the determined result of the routine damage condition being met.

[0052] Example 2 Please see Figure 3 , Figure 3 This is a flowchart illustrating another filter cartridge anomaly control method based on multimodal parameters disclosed in an embodiment of the present invention. Figure 3The described method can be applied to a filter cartridge anomaly control device based on multimodal parameters. This device may include a server, which may be a local server or a cloud server; this embodiment of the invention is not limited to this. Figure 3 As shown, the filter cartridge anomaly control method based on multimodal parameters includes the following operations: 201. Determine the first replacement test parameters for the target filter element in terms of filter membrane / sealing O-ring lifespan, determine the second replacement test parameters for the target filter element in terms of purification capacity, and determine the third replacement test parameters for the target filter element in terms of water volume / filtration capacity.

[0053] 202. Based on the determined priority scheme for the detection parameters and the filter element anomaly judgment conditions for each filter element replacement detection parameter, determine the target filter element replacement detection parameters for optimal filter element anomaly response.

[0054] 203. When the target filter replacement detection parameter includes the first filter replacement detection parameter, generate and push the first reminder information to the user. The first reminder information includes one or more of the following: filter replacement reminder information, parameter information about to fail, parameter information that has already failed, failure reason information, and filter purchase link information.

[0055] Optionally, the failure parameter information, failed parameter information, and failure cause information are used to determine which filter element is faulty, which filter element needs to be replaced, the method of obtaining the filter element, and the method of replacing the filter element, etc., which are not limited in this embodiment of the invention.

[0056] Optionally, the first filter replacement detection parameter is reached, and a message is pushed to remind the user to replace the filter, and the parameters that are about to fail and the reason for failure are provided. At the same time, a link to purchase the filter is pushed. This embodiment of the invention is not limited.

[0057] 204. When the target filter replacement detection parameters include the second filter replacement detection parameters and / or the third filter replacement detection parameters, a second reminder message is generated and pushed to the user. The second reminder message is used to remind the user to choose to perform a filter replacement operation or to choose to adjust the filter working parameters to continue using it. The second reminder message also includes information on parameters that are about to fail and / or information on the reason for failure.

[0058] Optionally, the second and / or third replacement detection parameters are accessed to remind the user to replace the cartridge or choose to adjust the operating parameters to continue using it, and the parameters that are about to fail and the reasons for failure are provided. This embodiment of the invention does not limit this.

[0059] In this embodiment of the invention, for other descriptions of steps 201-204, please refer to the other detailed descriptions of steps 101-103 in Embodiment 1. These descriptions will not be repeated in this embodiment of the invention.

[0060] As can be seen, the embodiments of the present invention can determine the preferred target replacement detection parameters for handling filter cartridge anomalies and then perform corresponding filter cartridge anomaly handling operations based on the target replacement detection parameters. This is beneficial to improving the comprehensiveness, rationality, and pertinence of filter cartridge anomaly control methods, as well as the diversity, flexibility, comprehensiveness, and pertinence of target filter cartridge replacement detection parameters. This, in turn, is beneficial to improving the accuracy and reliability of filter cartridge anomaly control, and the efficiency and convenience of filter cartridge anomaly control. Consequently, it is beneficial to improve the accuracy, efficiency, convenience, and timeliness of filter cartridge replacement, and further beneficial to improving the stability and reliability of water purification equipment. In addition, it can also push a first reminder message when the target replacement detection parameters include a first replacement detection parameter, and push a second reminder message when the target replacement detection parameters include a second replacement detection parameter and / or a third replacement detection parameter. This is beneficial to improving the diversity, flexibility, and pertinence of the generated second reminder message, and thus beneficial to improving the diversity, flexibility, and pertinence of filter cartridge anomaly handling methods, and beneficial to improving the fit between user needs and filter cartridge anomaly handling.

[0061] In an optional embodiment, the method may further include the following steps: When a user's response to the second reminder message triggers a filter replacement, a link to purchase the target filter replacement is sent to the user. When a user triggers an instruction to adjust the filter cartridge operating parameters in response to the second reminder message, the system determines the type of operating parameters to be adjusted for the target filter cartridge and its corresponding specific adjustment scheme based on the target filter cartridge replacement detection parameters; and pushes the type of operating parameters to be adjusted and its corresponding specific adjustment scheme to the user.

[0062] Optionally, when a user chooses to replace the chip, a purchase link is pushed to them; however, this embodiment of the invention does not impose any limitations on this.

[0063] Optionally, if the user chooses to continue using the service, the type of working parameter to be adjusted and its corresponding specific adjustment scheme are provided to the user for adjustment and confirmation. Further, the type of working parameter to be adjusted and its corresponding specific adjustment scheme are, for example, reduced effluent flow, increased wastewater volume, TDS adjustment, etc., but this embodiment of the invention does not limit the scope of the invention.

[0064] As can be seen, this optional embodiment can match the corresponding push information to the feedback content of the second reminder information, which is conducive to improving the diversity, flexibility and targeting of the generated push information, thereby improving the accuracy, timeliness and efficiency of pushing the filter replacement purchase link information, thus improving the accuracy and convenience of users to perform filter replacement operations, and also conducive to improving the accuracy and rationality of the filter working parameter adjustment scheme generation method, thereby improving the accuracy, efficiency and timeliness of filter working parameter adjustment.

[0065] In another optional embodiment, the above-mentioned determination of the target filter replacement detection parameters for preferred filter replacement anomaly response based on the determined detection parameter priority scheme and the filter anomaly judgment conditions for each filter replacement detection parameter may include: Based on the established priority evaluation scheme for the detection parameters, the primary replacement detection parameter to be analyzed is designated as the first replacement detection parameter. Based on the filter element anomaly evaluation criteria for the first filter element replacement detection parameter, perform the corresponding filter element anomaly analysis operation on the first filter element replacement detection parameter to obtain the first anomaly analysis result; When the first anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of the service life of the filter membrane / sealing O ring, the target replacement detection parameters for the preferred filter element anomaly response are determined to include the first replacement detection parameters. When the first anomaly analysis result indicates that there is no preset filter element anomaly in terms of the lifespan of the filter membrane / sealing O-ring, the replacement detection parameter to be analyzed in the middle is determined as the second replacement detection parameter according to the priority scheme of the detection parameter evaluation. Based on the filter element anomaly evaluation criteria for the second filter element replacement detection parameter, perform the corresponding filter element anomaly analysis operation on the second filter element replacement detection parameter to obtain the second anomaly analysis result; When the second anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of purification capacity, the target filter element replacement detection parameters for priority filter element anomaly response include the second filter element replacement detection parameters. When the second anomaly analysis result indicates that the target filter element does not have any preset filter element anomalies in terms of purification capacity, the filter element replacement detection parameter is determined as the third filter element replacement detection parameter based on the priority scheme of the detection parameters. Based on the filter element anomaly evaluation criteria for the third filter element replacement detection parameter, perform the corresponding filter element anomaly analysis operation on the third filter element replacement detection parameter to obtain the third anomaly analysis result; When the third anomaly analysis result indicates that the target filter cartridge has a preset filter cartridge anomaly in terms of water volume / filtration capacity, the target filter cartridge replacement detection parameters for priority filter cartridge anomaly response include the third filter cartridge replacement detection parameters.

[0066] Optionally, the analysis can be performed first, then in the middle, and finally. This can be understood as different sequences of analysis, and the embodiments of the present invention do not limit this.

[0067] Optionally, the existence of a preset filter element malfunction can also be understood as meeting the preset filter element malfunction conditions, and this embodiment of the invention does not limit this.

[0068] As can be seen, this optional embodiment can provide a progressive anomaly analysis operation based on different evaluation priorities, which is conducive to improving the efficiency and rationality of filter element replacement detection, improving the pertinence and efficiency of filter element anomaly response methods, reducing unnecessary analysis processes, and thus improving the accuracy and reliability of filter element anomaly response operations.

[0069] Example 3 Please see Figure 4 , Figure 4 This is a schematic diagram of a filter cartridge anomaly control device based on multimodal parameters disclosed in an embodiment of the present invention. Figure 4 The described apparatus may include a server, wherein the server includes a local server or a cloud server, and the embodiments of the present invention are not limited thereto. Figure 4 As shown, the filter cartridge anomaly control device based on multimodal parameters may include: The information determination module 301 is used to determine the first replacement detection parameters of the target filter element in terms of the service life of the filter membrane / sealing O-ring, the second replacement detection parameters of the target filter element in terms of the purification capacity, and the third replacement detection parameters of the target filter element in terms of the water volume capacity / filtration capacity.

[0070] The anomaly analysis module 302 is used to determine the target replacement detection parameters for optimal filter element anomaly response based on the determined detection parameter evaluation priority scheme and the filter element anomaly evaluation conditions for each filter element replacement detection parameter.

[0071] The anomaly response module 303 is used to perform corresponding filter element anomaly response operations based on the target filter element replacement detection parameters.

[0072] It is evident that implementation Figure 4 The described multimodal parameter-based filter cartridge anomaly control device can determine the optimal target replacement detection parameters for responding to filter cartridge anomalies, and then execute corresponding filter cartridge anomaly response operations based on the target replacement detection parameters. This is beneficial to improving the comprehensiveness, rationality, and pertinence of filter cartridge anomaly control methods, as well as the diversity, flexibility, comprehensiveness, and pertinence of target filter cartridge replacement detection parameters. This, in turn, is beneficial to improving the accuracy and reliability of filter cartridge anomaly control, as well as the efficiency and convenience of filter cartridge anomaly control. Consequently, it is beneficial to improve the accuracy, efficiency, convenience, and timeliness of filter cartridge replacement, and further beneficial to improving the stability and reliability of water purification equipment.

[0073] In an optional embodiment, the anomaly response module 303 performs corresponding filter cartridge anomaly response operations based on the target filter cartridge replacement detection parameters in the following specific ways: When the target filter replacement detection parameter includes the first filter replacement detection parameter, a first reminder message is generated and pushed to the user. The first reminder message includes one or more of the following: filter replacement reminder message, parameter information about to fail, parameter information that has already failed, failure reason information, and filter purchase link information. When the target filter replacement detection parameters include the second filter replacement detection parameters and / or the third filter replacement detection parameters, a second reminder message is generated and pushed to the user. The second reminder message is used to remind the user to choose to perform a filter replacement operation or to choose to adjust the filter's operating parameters to continue using it. The second reminder message also includes information on parameters that are about to fail and / or information on the reasons for failure.

[0074] It is evident that implementation Figure 5 The described device can push a first reminder message when the target filter replacement detection parameters include the first filter replacement detection parameter, and push a second reminder message when the target filter replacement detection parameters include the second filter replacement detection parameter and / or the third filter replacement detection parameter. This helps to improve the diversity, flexibility and targeting of the generated second reminder message, thereby improving the diversity, flexibility and targeting of the filter abnormality response methods, and improving the fit between user needs and filter abnormality response.

[0075] In another optional embodiment, the anomaly response module 303 is further configured to: push a replacement purchase link for the target filter element to the user when a replacement trigger command is detected from the user in response to the second reminder information; and when a filter element adjustment parameter adjustment trigger command is detected from the user in response to the second reminder information, determine the type of the target filter element's working parameters to be adjusted and its corresponding specific adjustment scheme based on the target filter element replacement detection parameters; and push the type of the working parameters to be adjusted and its corresponding specific adjustment scheme to the user.

[0076] It is evident that implementation Figure 5 The described device can also match corresponding push information to the feedback content of the second reminder information, which helps to improve the diversity, flexibility and targeting of the generated push information, thereby improving the accuracy, timeliness and efficiency of pushing the filter replacement purchase link information, thus improving the accuracy and convenience of users to perform filter replacement operations, and also helps to improve the accuracy and rationality of the filter working parameter adjustment scheme generation method, thereby improving the accuracy, efficiency and timeliness of filter working parameter adjustment.

[0077] In another optional embodiment, the anomaly analysis module 302 determines the preferred method for handling filter anomalies based on the determined detection parameter evaluation priority scheme and the filter anomaly evaluation conditions for each filter replacement detection parameter. Specifically, this includes: Based on the established priority evaluation scheme for the detection parameters, the primary replacement detection parameter to be analyzed is designated as the first replacement detection parameter. Based on the filter element anomaly evaluation criteria for the first filter element replacement detection parameter, perform the corresponding filter element anomaly analysis operation on the first filter element replacement detection parameter to obtain the first anomaly analysis result; When the first anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of the service life of the filter membrane / sealing O ring, the target replacement detection parameters for the preferred filter element anomaly response are determined to include the first replacement detection parameters. When the first anomaly analysis result indicates that there is no preset filter element anomaly in terms of the lifespan of the filter membrane / sealing O-ring, the replacement detection parameter to be analyzed in the middle is determined as the second replacement detection parameter according to the priority scheme of the detection parameter evaluation. Based on the filter element anomaly evaluation criteria for the second filter element replacement detection parameter, perform the corresponding filter element anomaly analysis operation on the second filter element replacement detection parameter to obtain the second anomaly analysis result; When the second anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of purification capacity, the target filter element replacement detection parameters for priority filter element anomaly response include the second filter element replacement detection parameters. When the second anomaly analysis result indicates that the target filter element does not have any preset filter element anomalies in terms of purification capacity, the filter element replacement detection parameter is determined as the third filter element replacement detection parameter based on the priority scheme of the detection parameters. Based on the filter element anomaly evaluation criteria for the third filter element replacement detection parameter, perform the corresponding filter element anomaly analysis operation on the third filter element replacement detection parameter to obtain the third anomaly analysis result; When the third anomaly analysis result indicates that the target filter cartridge has a preset filter cartridge anomaly in terms of water volume / filtration capacity, the target filter cartridge replacement detection parameters for priority filter cartridge anomaly response include the third filter cartridge replacement detection parameters.

[0078] It is evident that implementation Figure 5 The described device can also provide progressive anomaly analysis operations based on different evaluation priorities, which helps to improve the efficiency and rationality of filter element replacement detection, improve the pertinence and efficiency of filter element anomaly response methods, reduce unnecessary analysis processes, and thus improve the accuracy and reliability of filter element anomaly response operations.

[0079] In another optional embodiment, the information determination module 301 is further configured to determine the historical replacement data and historical usage data corresponding to the target filter element.

[0080] like Figure 5 As shown, the device may further include: The judgment module 304 is used to determine whether the target filter element meets the preset normal damage conditions based on historical replacement data and / or historical usage data.

[0081] The optimization scheme determination module 305 is used to analyze the causes of abnormal damage to the target filter element based on historical replacement data and historical usage data when the judgment module 304 determines that the target filter element does not meet the conditions for normal damage frequency; determine the optimized filter element performance parameters of the target filter element based on the causes of abnormal damage and the previous filter element performance parameters of the target filter element; and determine the optimized filter element usage scheme corresponding to the target filter element based on the optimized filter element performance parameters. The optimized filter element usage scheme is used to overcome the abnormal damage situation of the target filter element.

[0082] It is evident that implementation Figure 5 The described device can also provide a corresponding optimized filter element usage scheme determination method when the target filter element meets the normal damage conditions. This helps to improve the comprehensiveness and rationality of the optimized filter element usage scheme determination method, thereby improving the accuracy and reliability of the determined optimized filter element usage scheme, as well as the timeliness and accuracy of the optimization of the filter element usage scheme. This helps to reduce / avoid abnormal damage conditions of the filter element and improve the service life of the filter element.

[0083] In another optional embodiment, the determination module 304 determines whether the target filter element meets the preset conventional damage conditions based on historical usage data in the following ways: Based on historical usage data, determine the type of historical damage and the corresponding degree of historical damage for the target filter element; Determine whether the historical damage type is within the preset set of regular damage types; When it is determined that the historical damage type is not in the set of normal damage types, it is determined that the target filter element does not meet the preset normal damage condition conditions; When it is determined that the historical damage type is in the set of normal damage types, it is determined whether the degree of historical damage is greater than or equal to the preset abnormal damage degree threshold. When the historical damage level is determined to be greater than or equal to the abnormal damage level threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions; When the historical damage level is determined to be less than the abnormal damage level threshold, the target filter element is determined to meet the preset normal damage condition conditions.

[0084] It is evident that implementation Figure 5 The described device can also determine the results of fulfilling conventional damage conditions from two levels: historical damage type and historical damage degree. This helps to improve the comprehensiveness, rationality, pertinence, and progressiveness of the method for determining the results of fulfilling conventional damage conditions, thereby improving the accuracy and reliability of the determined results of fulfilling conventional damage conditions.

[0085] In another optional embodiment, the determination module 304 determines whether the target filter element meets the preset normal damage conditions based on historical replacement data in the following ways: Determine the historical replacement frequency corresponding to the target filter element based on historical replacement data; Determine whether the historical replacement frequency is greater than or equal to the preset abnormal replacement frequency threshold; When it is determined that the historical replacement frequency is greater than or equal to the abnormal replacement frequency threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions. When it is determined that the historical replacement frequency is less than the abnormal replacement frequency threshold, the target filter element is determined to meet the preset normal damage condition conditions.

[0086] It is evident that implementation Figure 5 The described device can also determine the result of fulfilling the conventional damage condition by comparing the historical replacement frequency with the corresponding threshold, which helps to improve the comprehensiveness, rationality, diversity and flexibility of the method for determining the result of fulfilling the conventional damage condition, and thus helps to improve the accuracy and reliability of the determined result of fulfilling the conventional damage condition.

[0087] Example 4 Please see Figure 6 , Figure 6 This is a schematic diagram of another filter cartridge anomaly control device based on multimodal parameters disclosed in an embodiment of the present invention. Figure 6 The described apparatus may include a server, wherein the server includes a local server or a cloud server, and the embodiments of the present invention are not limited thereto. Figure 6 As shown, the device may include: Memory 401 storing executable program code; Processor 402 coupled to memory 401; Furthermore, it may also include an input interface 403 coupled to the processor 402 and an output interface 404; The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the filter element anomaly control method based on multimodal parameters described in Embodiment 1 or Embodiment 2.

[0088] Example 5 This invention discloses a computer storage medium storing a computer program for electronic data interchange, wherein the computer program causes a computer to execute the steps in the filter cartridge anomaly control method based on multimodal parameters described in Embodiment 1 or Embodiment 2.

[0089] Example 6 This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the filter cartridge anomaly control method based on multimodal parameters described in Embodiment 1 or Embodiment 2.

[0090] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0091] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0092] Finally, it should be noted that the filter cartridge anomaly control method and device based on multimodal parameters disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A filter cartridge anomaly control method based on multimodal parameters, characterized in that, The method includes: The first replacement test parameter for the target filter element in terms of filter membrane / sealing O-ring lifespan is determined, the second replacement test parameter for the target filter element in terms of purification capacity is determined, and the third replacement test parameter for the target filter element in terms of water volume / filtration capacity is determined. Based on the established priority scheme for the detection parameters and the filter element anomaly assessment conditions for each filter element replacement detection parameter, the target filter element replacement detection parameters for optimal filter element anomaly response are determined. Based on the target filter replacement detection parameters, perform the corresponding filter abnormality response operation.

2. The filter cartridge anomaly control method based on multimodal parameters according to claim 1, characterized in that, The step of performing corresponding filter cartridge anomaly response operations based on the target filter cartridge replacement detection parameters includes: When the target filter replacement detection parameter includes the first filter replacement detection parameter, a first reminder message is generated and pushed to the user. The first reminder message includes one or more of the following: filter replacement reminder message, parameter information about to fail, parameter information that has already failed, failure reason information, and filter purchase link information. When the target filter replacement detection parameters include the second filter replacement detection parameters and / or the third filter replacement detection parameters, a second reminder message is generated and pushed to the user. The second reminder message is used to remind the user to perform a filter replacement operation or to choose to adjust the filter working parameters to continue using the filter. The second reminder message also includes information on parameters that are about to fail and / or information on the reason for failure.

3. The filter cartridge anomaly control method based on multimodal parameters according to claim 2, characterized in that, The method further includes: When a filter replacement trigger command is detected from the user in response to the second reminder information, a filter replacement purchase link for the target filter is pushed to the user; When the user's instruction to adjust the filter cartridge operating parameters in response to the second reminder information is detected, the type of operating parameter to be adjusted for the target filter cartridge and its corresponding specific adjustment scheme are determined according to the target filter cartridge replacement detection parameters; the type of operating parameter to be adjusted and its corresponding specific adjustment scheme are pushed to the user.

4. The filter cartridge anomaly control method based on multimodal parameters according to claim 1, characterized in that, The process of determining the preferred target replacement detection parameters for handling filter anomalies based on the established priority scheme for detection parameters and the filter anomaly assessment conditions for each replacement detection parameter includes: Based on the established priority evaluation scheme for detection parameters, the first core replacement detection parameter to be analyzed is determined to be the first core replacement detection parameter. Based on the filter element anomaly judgment conditions for the first filter element replacement detection parameters, perform corresponding filter element anomaly analysis operations on the first filter element replacement detection parameters to obtain the first anomaly analysis result. When the first anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of the service life of the filter membrane / sealing O ring, the first filter element replacement detection parameter is determined to be the preferred target filter element replacement detection parameter for handling filter element anomalies. When the first anomaly analysis result indicates that the target filter element does not have a preset filter element anomaly in terms of filter membrane / sealing O-ring lifespan, the filter replacement detection parameter to be analyzed in the middle is determined as the second filter replacement detection parameter according to the detection parameter evaluation priority scheme. Based on the filter element anomaly evaluation criteria for the second filter element replacement detection parameters, perform corresponding filter element anomaly analysis operations on the second filter element replacement detection parameters to obtain the second anomaly analysis results; When the second anomaly analysis result indicates that the target filter element has a preset filter element anomaly in terms of purification capacity, the target filter element replacement detection parameters for priority filter element anomaly response include the second filter element replacement detection parameters. When the second anomaly analysis result indicates that the target filter element does not have a preset filter element anomaly in terms of purification capacity, the filter element replacement detection parameter is determined to be the third filter element replacement detection parameter according to the detection parameter evaluation priority scheme. Based on the filter element anomaly judgment conditions for the third filter element replacement detection parameter, perform corresponding filter element anomaly analysis operations on the third filter element replacement detection parameter to obtain the third anomaly analysis results. When the third anomaly analysis result indicates that the target filter cartridge has a preset filter cartridge anomaly in terms of water volume / filtration capacity, the target filter cartridge replacement detection parameters for priority filter cartridge anomaly response include the third filter cartridge replacement detection parameters.

5. The filter cartridge anomaly control method based on multimodal parameters according to any one of claims 1-4, characterized in that, After performing the corresponding filter cartridge anomaly response operation based on the target filter cartridge replacement detection parameters, the method further includes: Determine the historical replacement data and historical usage data corresponding to the target filter element; Based on the historical replacement data and / or the historical usage data, determine whether the target filter element meets the preset normal damage conditions. When it is determined that the target filter element does not meet the normal damage frequency condition, the causes of abnormal damage to the target filter element are analyzed based on the historical replacement data and the historical usage data; based on the causes of abnormal damage and the previous filter element performance parameters of the target filter element, the optimized filter element performance parameters of the target filter element are determined; based on the optimized filter element performance parameters, the optimized filter element usage plan corresponding to the target filter element is determined, and the optimized filter element usage plan is used to overcome the abnormal damage situation of the target filter element.

6. The filter cartridge anomaly control method based on multimodal parameters according to claim 5, characterized in that, The step of determining whether the target filter element meets the preset normal damage conditions based on the historical usage data includes: Based on the historical usage data, determine the historical damage type and the corresponding historical damage level of the target filter element; Determine whether the historical damage type is within a preset set of common damage types; When it is determined that the historical damage type is not in the set of normal damage types, it is determined that the target filter element does not meet the preset normal damage condition conditions; When it is determined that the historical damage type is in the set of normal damage types, it is determined whether the degree of historical damage is greater than or equal to the preset abnormal damage degree threshold. When it is determined that the historical damage level is greater than or equal to the abnormal damage level threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions; When it is determined that the historical damage level is less than the abnormal damage level threshold, the target filter element is determined to meet the preset normal damage condition conditions.

7. The filter cartridge anomaly control method based on multimodal parameters according to claim 5, characterized in that, The step of determining whether the target filter element meets the preset normal damage conditions based on the historical replacement data includes: Based on the historical replacement data, determine the historical replacement frequency corresponding to the target filter element; Determine whether the historical replacement frequency is greater than or equal to a preset abnormal replacement frequency threshold; When it is determined that the historical replacement frequency is greater than or equal to the abnormal replacement frequency threshold, it is determined that the target filter element does not meet the preset normal damage condition conditions. When it is determined that the historical replacement frequency is less than the abnormal replacement frequency threshold, the target filter element is determined to meet the preset normal damage condition conditions.

8. A filter cartridge anomaly control device based on multimodal parameters, characterized in that, The device includes: The information determination module is used to determine the first replacement detection parameters of the target filter element in terms of the service life of the filter membrane / sealing O-ring, the second replacement detection parameters of the target filter element in terms of the purification capacity, and the third replacement detection parameters of the target filter element in terms of the water volume capacity / filtration capacity. The anomaly analysis module is used to determine the target replacement detection parameters for optimal filter element anomaly response based on the determined priority scheme of the detection parameters and the filter element anomaly judgment conditions for each replacement detection parameter. The anomaly response module is used to perform corresponding filter cartridge anomaly response operations based on the target filter cartridge replacement detection parameters.

9. A filter cartridge anomaly control device based on multimodal parameters, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the filter element anomaly control method based on multimodal parameters as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the filter cartridge anomaly control method based on multimodal parameters as described in any one of claims 1-7.

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