Hydraulic system fault early warning method and device based on multi-dimensional parameter fusion analysis

Abstract

The present application relates to the technical field of hydraulic system control, and discloses a hydraulic system fault early warning method and device based on multi-dimensional parameter fusion analysis, which is applied to a hydraulic system, collects first multi-dimensional state parameters within a preset range of the hydraulic system, and the first multi-dimensional state parameters include second multi-dimensional state parameters of target objects existing in the hydraulic system and third multi-dimensional state parameters of the hydraulic system itself; whether at least one first region exists in the hydraulic system is determined according to the first multi-dimensional state parameters, and fourth multi-dimensional state parameters of the first region match preset multi-dimensional state parameters; when the determination result is yes, fault early warning parameters of the hydraulic system are generated according to the fourth multi-dimensional state parameters of all the first regions, and the fault early warning parameters are used to indicate health state conditions of the first regions and the hydraulic system. It can be seen that the present application can improve the accuracy and timeliness of hydraulic system fault early warning.

Description

Technical Field

[0001] This invention relates to the field of hydraulic system control technology, and in particular to a method and device for early warning of hydraulic system faults based on multi-dimensional parameter fusion analysis. Background Technology

[0002] As an important component of modern industrial equipment, the stability and reliability of hydraulic systems are directly related to the overall performance and operational safety of the equipment.

[0003] Existing technologies for fault early warning analysis of hydraulic systems mainly rely on sensors to monitor a single indicator. However, in practice, it has been found that a single indicator is easily affected by environmental factors, cannot truly reflect the real-time status of the hydraulic system, is not suitable for hydraulic systems with complex structures, and poses certain safety hazards.

[0004] Therefore, improving the accuracy and timeliness of hydraulic system fault early warning is particularly important. Summary of the Invention

[0005] This invention provides a hydraulic system fault early warning method and device based on multi-dimensional parameter fusion analysis, which can improve the accuracy and timeliness of hydraulic system fault early warning.

[0006] To address the aforementioned technical problems, the first aspect of this invention discloses a hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis. The method is applied to a hydraulic system and includes:

[0007] Collect a first multi-dimensional state parameter within a preset range of the hydraulic system. The first multi-dimensional state parameter includes a second multi-dimensional state parameter of the target object existing in the hydraulic system and a third multi-dimensional state parameter of the hydraulic system itself.

[0008] Based on the first multi-dimensional state parameter, it is determined whether there is at least one first region in the hydraulic system. The fourth multi-dimensional state parameter of the first region matches the preset multi-dimensional state parameter. The fourth multi-dimensional state parameter is generated based on the first multi-dimensional state parameter.

[0009] When the judgment result is yes, then the fault warning parameters of the hydraulic system are generated based on the fourth multi-dimensional state parameters of all the first regions. The fault warning parameters are used to indicate the health status of the first region and the hydraulic system.

[0010] As an optional implementation, in the first aspect of the present invention, the second multi-dimensional state parameter includes a first state sub-parameter and a second state sub-parameter, wherein the first state sub-parameter includes at least one of shape parameter, size parameter, adhesiveness parameter, material type parameter, hardness parameter, weight parameter, and adhesion surface parameter, and the second state sub-parameter includes at least one of position parameter and color parameter.

[0011] The step of determining whether at least one first region exists in the hydraulic system based on the first multi-dimensional state parameters includes:

[0012] For each target object, a comprehensive performance parameter is calculated based on the first state sub-parameter of the target object. The comprehensive performance parameter is used to represent the comprehensive performance of the target object in the hydraulic system.

[0013] Based on the comprehensive performance parameters and the preset comprehensive performance threshold parameters, the influence value parameter of the target object on the hydraulic system is calculated, and the influence value parameter is used to represent the degree of influence of the target object on the hydraulic system;

[0014] Determine whether the influence value parameter is greater than or equal to the preset influence threshold parameter. If it is determined that the influence value parameter is greater than or equal to the preset influence threshold parameter, then determine the second region where the target object is located based on the second state sub-parameter of the target object.

[0015] Based on all the second regions and the third multi-dimensional state parameters, determine whether there is at least one first region in the hydraulic system.

[0016] As an optional implementation, in the first aspect of the present invention, the third multi-dimensional state parameter is used to represent the state of at least one third region in the hydraulic system, and the third multi-dimensional state parameter includes at least one third state sub-parameter selected from pressure parameter, flow rate parameter, vibration parameter, sound field parameter, and light transmittance parameter; the step of determining whether at least one first region exists in the hydraulic system based on all second regions and the third multi-dimensional state parameter includes:

[0017] For each of the third regions, a preset priority parameter for the third region is determined; based on the preset priority parameter, the dimensional state threshold parameter of each of the third state sub-parameters under the third region is matched;

[0018] For each of the third state sub-parameters, it is determined whether the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter. When it is determined that the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter, the target distance value between the third state sub-parameter and the dimension state threshold parameter corresponding to the third state sub-parameter is calculated. The target distance value is used to represent the distance between the third state sub-parameter and the corresponding dimension state threshold parameter.

[0019] Based on all the target distance values, at least one fourth region is predicted to exist in the hydraulic system. The fourth region is a pre-anomaly warning region in the hydraulic system and is different from the second region.

[0020] Based on all the second regions and all the fourth regions, at least one first region existing in the hydraulic system is determined.

[0021] As an optional implementation, in the first aspect of the invention, when at least two of the third state sub-parameters exist, predicting at least one fourth region existing in the hydraulic system based on all the target distance values ​​includes:

[0022] Define any two or more of the target distance values ​​as a set of target distance values;

[0023] For each target distance value in each target distance value set, calculate the correlation degree between the third state sub-parameter corresponding to the target distance value and the third state sub-parameters corresponding to other target distance values ​​in the target distance value set. The correlation degree is used to represent the degree of correlation influence among the third state sub-parameters in the target distance value set.

[0024] Based on all the aforementioned correlation values, predict at least one fourth region present in the hydraulic system.

[0025] As an optional implementation, in a first aspect of the invention, determining at least one first region present in the hydraulic system based on all the second regions and all the fourth regions includes:

[0026] For each second region, based on the first state sub-parameter, the second state sub-parameter, and the influence value parameter corresponding to the target object, the anomaly type parameter of the second region is analyzed. The anomaly type parameter is used to indicate the type of influence of the second region on the hydraulic system. The influence type is used to indicate that the second region has at least one of wear effect, jamming effect, and burning effect on the hydraulic system.

[0027] Based on the anomaly type parameters of all the second regions, match the first region priority value of each second region;

[0028] For each of the fourth regions, calculate the overlap value between the fourth region and each of the third regions; based on all the overlap values ​​and the preset priority parameter of each of the third regions, match the second region priority value of the fourth region;

[0029] Based on all the first region priority values ​​and all the second region priority values, at least one first region existing in the hydraulic system is determined.

[0030] As an optional implementation, in a first aspect of the invention, determining at least one first region existing in the hydraulic system based on all first region priority values ​​and all second region priority values ​​includes:

[0031] Determine whether there is an intersection between all the second regions and all the fourth regions. When it is determined that there is an intersection between all the second regions and all the fourth regions, calculate the third region priority value of the intersection based on the first region priority value of the second region and the second region priority value of the fourth region corresponding to the intersection. The third region priority value is greater than the first region priority value and the second region priority value.

[0032] For each priority value among all first region priority values, all second region priority values, and all third region priority values, at least one first region existing in the hydraulic system is determined according to a preset priority threshold among all second regions, all fourth regions, and all intersection regions, wherein the priority value corresponding to the first region is greater than or equal to the preset priority threshold.

[0033] As an optional implementation, in the first aspect of the present invention, the fourth multi-dimensional state parameter includes at least one fourth state sub-parameter selected from wear state parameters, smoothness state parameters, cleanliness state parameters, color state parameters, and material distribution state parameters. Generating fault warning parameters for the hydraulic system based on the fourth multi-dimensional state parameters of all the first regions includes:

[0034] For each of the first regions, the original state parameters of the first region are determined, and the original state parameters correspond to the fourth multi-dimensional state parameters.

[0035] For each of the fourth state sub-parameters, a state adjustment degree value is calculated based on the fourth state sub-parameter and the original state parameter. The state adjustment degree value is used to represent the degree of difference between the fourth state sub-parameter and the original state parameter.

[0036] Based on the fourth state sub-parameter, analyze the state influence factor of the fourth state sub-parameter, whereby the state influence factor is used to represent the factors that cause the fourth state sub-parameter to occur.

[0037] Based on all the stated state adjustment degree values ​​and all the stated state influence factors, fault warning parameters for the hydraulic system are generated, and the fault warning parameters are also used to indicate all the stated state adjustment degree values ​​and all the stated state influence factors.

[0038] A second aspect of this invention discloses a hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis. The device is applied to a hydraulic system and includes:

[0039] The acquisition module is used to acquire a first multi-dimensional state parameter within a preset range of the hydraulic system. The first multi-dimensional state parameter includes a second multi-dimensional state parameter of the target object existing in the hydraulic system and a third multi-dimensional state parameter of the hydraulic system itself.

[0040] The judgment module is used to determine whether there is at least one first region in the hydraulic system based on the first multi-dimensional state parameters. The fourth multi-dimensional state parameters of the first region match the preset multi-dimensional state parameters. The fourth multi-dimensional state parameters are generated based on the first multi-dimensional state parameters.

[0041] The generation module is used to generate fault warning parameters for the hydraulic system based on the fourth multi-dimensional state parameters of all the first regions when the judgment result of the judgment module is yes. The fault warning parameters are used to indicate the health status of the first region and the hydraulic system.

[0042] As an optional implementation, in a second aspect of the present invention, the second multi-dimensional state parameter includes a first state sub-parameter and a second state sub-parameter, wherein the first state sub-parameter includes at least one of shape parameter, size parameter, adhesiveness parameter, material type parameter, hardness parameter, weight parameter, and adhesion surface parameter, and the second state sub-parameter includes at least one of position parameter and color parameter.

[0043] The specific method by which the judgment module determines whether at least one first region exists in the hydraulic system based on the first multi-dimensional state parameters includes:

[0044] For each target object, a comprehensive performance parameter is calculated based on the first state sub-parameter of the target object. The comprehensive performance parameter is used to represent the comprehensive performance of the target object in the hydraulic system.

[0045] Based on the comprehensive performance parameters and the preset comprehensive performance threshold parameters, the influence value parameter of the target object on the hydraulic system is calculated, and the influence value parameter is used to represent the degree of influence of the target object on the hydraulic system;

[0046] Determine whether the influence value parameter is greater than or equal to the preset influence threshold parameter. If it is determined that the influence value parameter is greater than or equal to the preset influence threshold parameter, then determine the second region where the target object is located based on the second state sub-parameter of the target object.

[0047] Based on all the second regions and the third multi-dimensional state parameters, determine whether there is at least one first region in the hydraulic system.

[0048] As an optional implementation, in a second aspect of the invention, the third multi-dimensional state parameter is used to represent the state of at least one third region in the hydraulic system. The third multi-dimensional state parameter includes at least one third state sub-parameter selected from pressure parameter, flow rate parameter, vibration parameter, sound field parameter, and light transmittance parameter. The specific method by which the judgment module determines whether at least one first region exists in the hydraulic system based on all second regions and the third multi-dimensional state parameter includes:

[0049] For each of the third regions, a preset priority parameter for the third region is determined; based on the preset priority parameter, the dimensional state threshold parameter of each of the third state sub-parameters under the third region is matched;

[0050] For each of the third state sub-parameters, it is determined whether the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter. When it is determined that the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter, the target distance value between the third state sub-parameter and the dimension state threshold parameter corresponding to the third state sub-parameter is calculated. The target distance value is used to represent the distance between the third state sub-parameter and the corresponding dimension state threshold parameter.

[0051] Based on all the target distance values, at least one fourth region is predicted to exist in the hydraulic system. The fourth region is a pre-anomaly warning region in the hydraulic system and is different from the second region.

[0052] Based on all the second regions and all the fourth regions, at least one first region existing in the hydraulic system is determined.

[0053] As an optional implementation, in a second aspect of the invention, the specific method by which the determining module predicts the existence of at least one fourth region in the hydraulic system based on all the target distance values ​​includes:

[0054] When at least two of the third state sub-parameters exist, any two of the target distance values ​​are determined as a set of target distance values;

[0055] For each target distance value in each target distance value set, calculate the correlation degree between the third state sub-parameter corresponding to the target distance value and the third state sub-parameters corresponding to other target distance values ​​in the target distance value set. The correlation degree is used to represent the degree of correlation influence among the third state sub-parameters in the target distance value set.

[0056] Based on all the aforementioned correlation values, predict at least one fourth region present in the hydraulic system.

[0057] As an optional implementation, in a second aspect of the invention, the specific method by which the determining module determines at least one first region existing in the hydraulic system based on all the second regions and all the fourth regions includes:

[0058] For each second region, based on the first state sub-parameter, the second state sub-parameter, and the influence value parameter corresponding to the target object, the anomaly type parameter of the second region is analyzed. The anomaly type parameter is used to indicate the type of influence of the second region on the hydraulic system. The influence type is used to indicate that the second region has at least one of wear effect, jamming effect, and burning effect on the hydraulic system.

[0059] Based on the anomaly type parameters of all the second regions, match the first region priority value of each second region;

[0060] For each of the fourth regions, calculate the overlap value between the fourth region and each of the third regions; based on all the overlap values ​​and the preset priority parameter of each of the third regions, match the second region priority value of the fourth region;

[0061] Based on all the first region priority values ​​and all the second region priority values, at least one first region existing in the hydraulic system is determined.

[0062] As an optional implementation, in a second aspect of the invention, the specific method by which the determining module determines at least one first region existing in the hydraulic system based on all the priority values ​​of the first regions and all the priority values ​​of the second regions includes:

[0063] Determine whether there is an intersection between all the second regions and all the fourth regions. When it is determined that there is an intersection between all the second regions and all the fourth regions, calculate the third region priority value of the intersection based on the first region priority value of the second region and the second region priority value of the fourth region corresponding to the intersection. The third region priority value is greater than the first region priority value and the second region priority value.

[0064] For each priority value among all first region priority values, all second region priority values, and all third region priority values, at least one first region existing in the hydraulic system is determined according to a preset priority threshold among all second regions, all fourth regions, and all intersection regions, wherein the priority value corresponding to the first region is greater than or equal to the preset priority threshold.

[0065] As an optional implementation, in the second aspect of the present invention, the fourth multi-dimensional state parameter includes at least one fourth state sub-parameter selected from wear state parameters, smoothness state parameters, cleanliness state parameters, color state parameters, and material distribution state parameters. The specific method by which the generation module generates the fault warning parameters of the hydraulic system based on the fourth multi-dimensional state parameters of all the first regions includes:

[0066] For each of the first regions, the original state parameters of the first region are determined, and the original state parameters correspond to the fourth multi-dimensional state parameters.

[0067] For each of the fourth state sub-parameters, a state adjustment degree value is calculated based on the fourth state sub-parameter and the original state parameter. The state adjustment degree value is used to represent the degree of difference between the fourth state sub-parameter and the original state parameter.

[0068] Based on the fourth state sub-parameter, analyze the state influence factor of the fourth state sub-parameter, whereby the state influence factor is used to represent the factors that cause the fourth state sub-parameter to occur.

[0069] Based on all the stated state adjustment degree values ​​and all the stated state influence factors, fault warning parameters for the hydraulic system are generated, and the fault warning parameters are also used to indicate all the stated state adjustment degree values ​​and all the stated state influence factors.

[0070] A third aspect of this invention discloses another hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis, the device comprising:

[0071] Memory containing executable program code;

[0072] A processor coupled to the memory;

[0073] The processor calls the executable program code stored in the memory to execute the hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis disclosed in the first aspect of the present invention.

[0074] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis disclosed in the first aspect of the present invention.

[0075] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0076] In this embodiment of the invention, the method is applied to a hydraulic system. It collects first multi-dimensional state parameters within a preset range of the hydraulic system. These first multi-dimensional state parameters include second multi-dimensional state parameters of the target objects present in the hydraulic system and third multi-dimensional state parameters of the hydraulic system itself. Based on the first multi-dimensional state parameters, it determines whether at least one first region exists in the hydraulic system. The fourth multi-dimensional state parameter of the first region matches the preset multi-dimensional state parameters, which are generated based on the first multi-dimensional state parameters. When the determination result is yes, fault warning parameters for the hydraulic system are generated based on the fourth multi-dimensional state parameters of all first regions. These fault warning parameters are used to indicate the health status of the first regions and the hydraulic system. As can be seen, implementing this invention can determine whether there is at least one first region in the hydraulic system whose fourth multi-dimensional state parameter matches the preset multi-dimensional state parameter by collecting the second multi-dimensional state parameters of the target object in the hydraulic system and the first multi-dimensional state parameters of the hydraulic system itself within a preset range. If so, then based on the fourth multi-dimensional state parameters of all first regions, fault warning parameters for the hydraulic system to indicate the health status of the first region and the hydraulic system are generated. This can improve the accuracy of detection and warning of hydraulic system cleanliness from the perspective of multi-dimensional state parameters at both the target object and hydraulic system levels, while also improving the accuracy, timeliness, and prior knowledge of hydraulic system fault warnings. This is beneficial for timely warning of fault anomalies and potential anomalies, and improves the application safety and stability of the hydraulic system. Attached Figure Description

[0077] 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.

[0078] Figure 1 This is a flowchart illustrating a hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention.

[0079] Figure 2 This is a flowchart illustrating another hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention;

[0080] Figure 3 This is a schematic diagram of the structure of a hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention;

[0081] Figure 4 This is a schematic diagram of another hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention. Detailed Implementation

[0082] To enable those skilled in the art to better understand the present invention, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0083] 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.

[0084] 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.

[0085] This invention discloses a hydraulic system fault early warning method and device based on multi-dimensional parameter fusion analysis. It can determine whether there is a first region in the hydraulic system whose fourth multi-dimensional state parameter matches the preset multi-dimensional state parameters by collecting second multi-dimensional state parameters of targets within the hydraulic system and third multi-dimensional state parameters of the hydraulic system itself. If so, it generates fault early warning parameters for the hydraulic system based on the fourth multi-dimensional state parameters of all first regions, indicating the health status of the first region and the hydraulic system as a whole. This method improves the accuracy of hydraulic system cleanliness detection and early warning from the perspectives of multi-dimensional state parameters at both the target and hydraulic system levels, while also enhancing the accuracy, timeliness, and predictability of hydraulic system fault early warning. This facilitates timely warning of fault anomalies and potential anomalies, improving the application safety and stability of the hydraulic system. Detailed descriptions follow.

[0086] Example 1

[0087] Please see Figure 1 , Figure 1 This is a flowchart illustrating a hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention. Figure 1 The described hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis can be applied to hydraulic systems, excavators, and other main equipment using piston pumps, piston motors, and hydraulic cylinders. It can also be applied to associated intelligent devices, including but not limited to one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices. This invention does not limit the scope of these applications. Figure 1 As shown, the hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis may include the following operations:

[0088] 101. Collect the first multi-dimensional state parameters of the hydraulic system within a preset range. The first multi-dimensional state parameters include the second multi-dimensional state parameters of the target objects existing in the hydraulic system and the third multi-dimensional state parameters of the hydraulic system itself.

[0089] In this embodiment of the invention, the target object may optionally include, but is not limited to, one or more of the following: solid particulate matter, liquid metal, impurities;

[0090] 102. Based on the first multi-dimensional state parameter, determine whether there is at least one first region in the hydraulic system. The fourth multi-dimensional state parameter of the first region matches the preset multi-dimensional state parameter. The fourth multi-dimensional state parameter is generated based on the first multi-dimensional state parameter.

[0091] In this embodiment of the invention, as an optional implementation, the above-mentioned second multi-dimensional state parameter includes a first state sub-parameter and a second state sub-parameter, wherein the first state sub-parameter includes at least one of shape parameter, size parameter, adhesiveness parameter, material type parameter, hardness parameter, weight parameter, and adhesion surface parameter, and the second state sub-parameter includes at least one of position parameter and color parameter;

[0092] Optionally, the above-mentioned determination of whether at least one first region exists in the hydraulic system based on the first multi-dimensional state parameters includes:

[0093] For each target object, the comprehensive performance parameter of the target object is calculated based on the first state sub-parameter of the target object. The comprehensive performance parameter is used to represent the comprehensive performance of the target object in the hydraulic system.

[0094] Based on the comprehensive performance parameters and the preset comprehensive performance threshold parameters, the impact value parameter of the target object on the hydraulic system is calculated. The impact value parameter is used to represent the degree of impact of the target object on the hydraulic system.

[0095] Determine whether the influence value parameter is greater than or equal to the preset influence threshold parameter. If it is determined that the influence value parameter is greater than or equal to the preset influence threshold parameter, then determine the second region where the target object is located based on the second state sub-parameter of the target object.

[0096] Based on all the second region and third multi-dimensional state parameters, determine whether there is at least one first region in the hydraulic system.

[0097] In this embodiment of the invention, it should be noted that when there is no target object in the hydraulic system, the above-mentioned second multi-dimensional state parameter can be empty. In this case, optionally, the above-mentioned determination of whether there is at least one first region in the hydraulic system based on the first multi-dimensional state parameter can be directly triggered to determine whether there is at least one first region in the hydraulic system based on the third multi-dimensional state parameter.

[0098] In this embodiment of the invention, for example, when the target object is solid particulate matter, the degree of influence of target objects with different first state sub-parameters on the hydraulic system varies. For instance, an increase in the number of solid particulate matter in the 5-15 micrometer group can easily lead to hydraulic valve jamming, indicating an increased risk of valve jamming. The cause may be filter failure. In this case, an alarm should be triggered to prompt the operator to check the filter. Solid particulate matter in the 15-50 micrometer group represents normal wear, and its quantity indicates the degree of wear. Normally, the quantity should remain stable. If the quantity suddenly increases, it indicates that the wear has intensified. In this case, an alarm should be triggered to prompt the operator to check for abnormal wear in the hydraulic system. Solid particulate matter larger than 50 micrometers indicates severe wear, indicating that a minor fault has occurred or a major fault is about to occur. In this case, an alarm should be triggered to prompt the operator to stop the machine for inspection. Based on this, the corresponding behavior will also differ when the target object has other first state sub-parameters. This embodiment of the invention does not specifically limit this.

[0099] As can be seen, implementing this optional embodiment can, for each target object, calculate a comprehensive performance parameter representing the overall performance of the target object in the hydraulic system based on the collected multi-dimensional selectable first state sub-parameters of the target object. Then, combined with a preset comprehensive performance threshold parameter, calculate an influence value parameter representing the degree of influence of the target object on the hydraulic system. When the influence value parameter is greater than or equal to the preset influence threshold parameter, the second region corresponding to the target object is determined based on the second state sub-parameters of the target object. Based on all second regions and the third multi-dimensional state parameter, it is determined whether there is at least one first region in the hydraulic system. This can help improve the accuracy, comprehensiveness, and timeliness of the analysis of fault warnings brought by the target object to the hydraulic system, and improve the accuracy, comprehensiveness, and timeliness of fault warnings for the hydraulic system.

[0100] In this optional embodiment, as an optional implementation, the aforementioned third multi-dimensional state parameter is used to represent the state of at least one third region in the hydraulic system. The third multi-dimensional state parameter includes at least one third state sub-parameter selected from pressure parameter, flow parameter, vibration parameter, sound field parameter, and light transmittance parameter. The aforementioned determination of whether at least one first region exists in the hydraulic system based on all second regions and the third multi-dimensional state parameter includes:

[0101] For each third region, determine the preset priority parameter for that third region; based on the preset priority parameter, match the dimensional state threshold parameter of each third state sub-parameter under that third region;

[0102] For each third state sub-parameter, determine whether the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter. When it is determined that the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter, calculate the target distance value between the third state sub-parameter and the dimension state threshold parameter corresponding to the third state sub-parameter. The target distance value is used to represent the distance between the third state sub-parameter and the corresponding dimension state threshold parameter.

[0103] Based on all target distance values, predict at least one fourth region in the hydraulic system. The fourth region is a pre-anomaly warning region in the hydraulic system and is different from the second region.

[0104] Based on all the second regions and all the fourth regions, at least one first region is identified in the hydraulic system.

[0105] In this embodiment of the invention, optionally, the third region is a region used to characterize the multi-dimensional state of the hydraulic system itself. It is not limited to the existence of anomalies, but rather, based on this, a fourth region is predicted, and then the first region is determined.

[0106] Alternatively, the aforementioned preset priority parameters can essentially characterize the frequency of use, importance, and function of the components corresponding to the third region, or the preset priority parameters can essentially be proportional to the frequency of use, importance, and function of the aforementioned components.

[0107] Alternatively, the determination of the third region and the third state sub-parameters under the third region can be done without repeated data collection to save computing power. The solution is to determine which third state sub-parameters need to be collected by using the aforementioned preset priority parameters of the components under each third region. For example, for the pump outlet and actuator inlet, the third state sub-parameters may include pressure parameters; in the hydraulic pipeline, the third state sub-parameters may include flow parameters to measure the hydraulic oil flow; on the housing or nearby structures, the third state sub-parameters may include vibration parameters; near the hydraulic oil tank, pipeline, or key components, the third state sub-parameters may include sound field parameters, temperature parameters, etc. There are no specific limitations on the above, and the actual application scenario shall prevail.

[0108] As can be seen, implementing this optional embodiment can match the dimensional state threshold parameter of each third state sub-parameter under each third region based on the preset priority parameter of each determined third region. Then, for each third state sub-parameter, it is determined whether the third state sub-parameter is greater than or equal to the dimensional state threshold parameter corresponding to the third state sub-parameter. When the determination result is yes, the target distance value between the third state sub-parameter and the dimensional state threshold parameter corresponding to the third state sub-parameter is calculated to represent the distance between the third state sub-parameter and the corresponding dimensional state threshold parameter. Based on all target distance values, at least one fourth region existing in the hydraulic system is predicted as a preparatory abnormality warning region in the hydraulic system. Then, based on all second regions and all fourth regions, at least one first region existing in the hydraulic system is determined, so as to further improve the accuracy of the determination of the first region from the hydraulic system itself, and improve the comprehensiveness, accuracy and timeliness of the hydraulic system fault warning.

[0109] In this optional embodiment, as another optional implementation, when at least two of the third state sub-parameters exist, the above-mentioned prediction of at least one fourth region existing in the hydraulic system based on all target distance values ​​includes:

[0110] Define any two or more target distance values ​​as the target distance value set;

[0111] For each target distance value in each target distance value set, calculate the correlation degree between the third state sub-parameter corresponding to the target distance value and the third state sub-parameters corresponding to other target distance values ​​in the target distance value set. The correlation degree value is used to represent the degree of correlation influence between the third state sub-parameters in the target distance value set.

[0112] Based on all correlation values, predict at least one fourth region in the hydraulic system.

[0113] In this embodiment of the invention, optionally, the above-mentioned target distance value set may include multiple sets, but each target distance value should have at least one target distance value set.

[0114] As can be seen, implementing this optional embodiment determines any at least two target distance values ​​as a set of target distance values; for each target distance value in each set of target distance values, a correlation degree value is calculated between the third state sub-parameter corresponding to the target distance value and the third state sub-parameter corresponding to other target distance values ​​in the set of target distance values, which represents the degree of correlation influence between the third state sub-parameters in the set of target distance values. Then, based on all correlation degree values, at least one fourth region existing in the hydraulic system is predicted. Furthermore, by combining the degree of correlation influence between each third state sub-parameter, the prediction accuracy and scientific nature of the fourth region can be further improved.

[0115] In this optional embodiment, as yet another optional implementation, determining at least one first region present in the hydraulic system based on all second regions and all fourth regions includes:

[0116] For each second region, based on the first state sub-parameter, the second state sub-parameter, and the influence value parameter of the target object corresponding to the second region, the anomaly type parameter of the second region is analyzed. The anomaly type parameter is used to indicate the type of influence of the second region on the hydraulic system. The influence type is used to indicate that the second region has at least one of the following effects on the hydraulic system: wear effect, jamming effect, and burning effect.

[0117] Based on the anomaly type parameters of all second regions, match the first region priority value of each second region;

[0118] For each fourth region, calculate the overlap value between the fourth region and each third region; based on all overlap values ​​and the preset priority parameter of each third region, match the second region priority value of the fourth region.

[0119] Based on all first region priority values ​​and all second region priority values, determine at least one first region existing in the hydraulic system.

[0120] It is evident that implementing this optional embodiment can further, on the one hand, after predicting the fourth region in the hydraulic system including potential anomalies and the second region corresponding to the target object, it can further combine the first state sub-parameter, the second state sub-parameter, and the influence value parameter of the target object corresponding to each second region to analyze the anomaly type parameter of the second region, which represents the multi-dimensional optional influence type of the second region on the hydraulic system. Based on the anomaly type parameters of all second regions, the first region priority value of each second region is matched. On the other hand, for each fourth region, the overlap value between the fourth region and each third region is calculated. Based on all overlap values ​​and the preset priority parameter of each third region, the second region priority value of the fourth region is matched. Finally, based on all first region priority values ​​and all second region priority values, at least one first region existing in the hydraulic system is determined, thereby further improving the accuracy and comprehensiveness of the determination of the first region, which is conducive to further improving the accuracy and comprehensiveness of fault prediction of the hydraulic system.

[0121] In an optional embodiment, determining at least one first region existing in the hydraulic system based on all first region priority values ​​and all second region priority values ​​includes:

[0122] Determine whether there are any overlapping regions between all second regions and all fourth regions. If it is determined that there are overlapping regions between all second regions and all fourth regions, calculate the third region priority value of the overlapping region based on the first region priority value of the second region and the second region priority value of the fourth region corresponding to the overlapping region. The third region priority value is greater than the first region priority value and the second region priority value.

[0123] For each priority value among all first region priority values, all second region priority values, and all third region priority values, based on a preset priority threshold, at least one first region is determined to exist in the hydraulic system among all second regions, all fourth regions, and all intersecting regions, and the priority value corresponding to the first region is greater than or equal to the preset priority threshold.

[0124] In this optional embodiment, in the process of determining at least one first region in the hydraulic system among all second regions, all fourth regions and all intersecting regions according to a preset priority threshold, the first region may include some second regions, some fourth regions and some intersecting regions, which is related to the actual application scenario. This embodiment of the present invention does not specifically limit this.

[0125] As can be seen, implementing this optional embodiment can further determine whether there are overlapping regions between all second regions and all fourth regions. Based on the first region priority value of the second region and the second region priority value of the fourth region corresponding to the overlapping region, the third region priority value of the overlapping region is calculated. For each priority value among all first region priority values, all second region priority values, and all third region priority values, at least one first region in the hydraulic system is determined according to a preset priority threshold among all second regions, all fourth regions, and all overlapping regions. This helps to reduce the redundancy of the first region, improve the accuracy and comprehensiveness of fault warning of the first region, and further improve the accuracy and comprehensiveness of fault warning of the hydraulic system.

[0126] 103. When the judgment result is yes, the fault warning parameters of the hydraulic system are generated based on the fourth multi-dimensional state parameters of all the first regions. The fault warning parameters are used to indicate the health status of the first regions and the hydraulic system.

[0127] As can be seen, by implementing the embodiments of the present invention, it is possible to determine whether there is at least one first region in the hydraulic system whose fourth multi-dimensional state parameter matches the preset multi-dimensional state parameter by collecting the second multi-dimensional state parameter of the target object in the hydraulic system and the first multi-dimensional state parameter of the hydraulic system itself within a preset range. If so, then based on the fourth multi-dimensional state parameters of all first regions, fault warning parameters for the hydraulic system to indicate the health status of the first region and the hydraulic system are generated. This can improve the accuracy of detection and warning of hydraulic system cleanliness from the perspective of detection of multi-dimensional state parameters at both the target object and hydraulic system levels, while also improving the accuracy, timeliness, and prior knowledge of hydraulic system fault warning. This is beneficial for timely warning of fault anomalies and potential anomalies, and improves the application safety and stability of the hydraulic system.

[0128] Example 2

[0129] Please see Figure 2 , Figure 2 This is a flowchart illustrating another hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis disclosed in an embodiment of the present invention. Figure 2 The described hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis can be applied to hydraulic systems, excavators, and other main equipment using piston pumps, piston motors, and hydraulic cylinders. It can also be applied to associated intelligent devices, including but not limited to one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices. This invention does not limit the scope of these applications. Figure 2 As shown, the hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis may include the following operations:

[0130] 201. Collect the first multi-dimensional state parameters of the hydraulic system within a preset range. The first multi-dimensional state parameters include the second multi-dimensional state parameters of the target objects existing in the hydraulic system and the third multi-dimensional state parameters of the hydraulic system itself.

[0131] 202. Based on the first multi-dimensional state parameter, determine whether there is at least one first region in the hydraulic system. The fourth multi-dimensional state parameter of the first region matches the preset multi-dimensional state parameter. The fourth multi-dimensional state parameter is generated based on the first multi-dimensional state parameter. The fourth multi-dimensional state parameter includes at least one fourth state sub-parameter among wear state parameter, smoothness state parameter, cleanliness state parameter, color state parameter, and material distribution state parameter.

[0132] In this embodiment of the invention, for the supplementary explanation of steps 201-202, please refer to the supplementary explanation of steps 101-102 in Embodiment 1. This embodiment of the invention will not repeat the explanation.

[0133] 203. When the judgment result is yes, then for each first region, determine the original state parameters of the first region, and the original state parameters correspond to the fourth multi-dimensional state parameters;

[0134] 204. For each fourth state sub-parameter, calculate the state adjustment degree value of the fourth state sub-parameter based on the fourth state sub-parameter and the original state parameter. The state adjustment degree value is used to represent the degree of difference between the fourth state sub-parameter and the original state parameter.

[0135] 205. Based on the fourth state sub-parameter, analyze the state influence factor of the fourth state sub-parameter. The state influence factor is used to represent the factors that cause the fourth state sub-parameter to appear.

[0136] 206. Based on all state adjustment degree values ​​and all state influence factors, generate fault warning parameters for the hydraulic system. The fault warning parameters are used to indicate the health status of the first zone and the hydraulic system, and also to indicate all state adjustment degree values ​​and all state influence factors.

[0137] As can be seen, implementing the embodiments of the present invention enables, after determining at least one first region in the hydraulic system, to further determine the original state parameters of each first region. For each fourth state sub-parameter, based on the fourth state sub-parameter and the original state parameters, a state adjustment degree value representing the degree of difference between the fourth state sub-parameter and the original state parameters is calculated. Furthermore, based on the fourth state sub-parameter, a state influence factor representing the factors causing the occurrence of the fourth state sub-parameter is analyzed. Finally, based on all state adjustment degree values ​​and all state influence factors, fault warning parameters for the hydraulic system are generated to indicate the first region, the health status of the hydraulic system, all state adjustment degree values, and all state influence factors. This is beneficial for further improving the comprehensiveness, traceability, and accuracy of fault warnings in the hydraulic system, and enhancing the application safety of the hydraulic system.

[0138] Example 3

[0139] Please see Figure 3 , Figure 3This is a schematic diagram of a hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis, as disclosed in an embodiment of the present invention. This hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis can be applied to hydraulic systems, excavators, and other main equipment using piston pumps, piston motors, and hydraulic cylinders. It can also be applied to associated intelligent devices of the above-mentioned equipment. These intelligent devices include, but are not limited to, one or more of the following: battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices. The present invention does not limit the scope of these devices. Figure 3 As shown, the hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis may include:

[0140] The acquisition module 301 is used to acquire the first multi-dimensional state parameters of the hydraulic system within a preset range. The first multi-dimensional state parameters include the second multi-dimensional state parameters of the target objects existing in the hydraulic system and the third multi-dimensional state parameters of the hydraulic system itself.

[0141] The judgment module 302 is used to determine whether there is at least one first region in the hydraulic system based on the first multi-dimensional state parameters. The fourth multi-dimensional state parameters of the first region match the preset multi-dimensional state parameters. The fourth multi-dimensional state parameters are generated based on the first multi-dimensional state parameters.

[0142] The generation module 303 is used to generate fault warning parameters for the hydraulic system based on the fourth multi-dimensional state parameters of all first regions when the judgment result of the judgment module 302 is yes. The fault warning parameters are used to indicate the health status of the first region and the hydraulic system.

[0143] As can be seen, by implementing the embodiments of the present invention, it is possible to determine whether there is at least one first region in the hydraulic system whose fourth multi-dimensional state parameter matches the preset multi-dimensional state parameter by collecting the second multi-dimensional state parameter of the target object in the hydraulic system and the first multi-dimensional state parameter of the hydraulic system itself within a preset range. If so, then based on the fourth multi-dimensional state parameters of all first regions, fault warning parameters for the hydraulic system to indicate the health status of the first region and the hydraulic system are generated. This can improve the accuracy of detection and warning of hydraulic system cleanliness from the perspective of detection of multi-dimensional state parameters at both the target object and hydraulic system levels, while also improving the accuracy, timeliness, and prior knowledge of hydraulic system fault warning. This is beneficial for timely warning of fault anomalies and potential anomalies, and improves the application safety and stability of the hydraulic system.

[0144] In this embodiment of the invention, as an optional implementation, the above-mentioned second multi-dimensional state parameter includes a first state sub-parameter and a second state sub-parameter, wherein the first state sub-parameter includes at least one of shape parameter, size parameter, adhesiveness parameter, material type parameter, hardness parameter, weight parameter, and adhesion surface parameter, and the second state sub-parameter includes at least one of position parameter and color parameter;

[0145] Optionally, the specific method by which the judgment module 302 determines whether at least one first region exists in the hydraulic system based on the first multi-dimensional state parameters includes:

[0146] For each target object, the comprehensive performance parameter of the target object is calculated based on the first state sub-parameter of the target object. The comprehensive performance parameter is used to represent the comprehensive performance of the target object in the hydraulic system.

[0147] Based on the comprehensive performance parameters and the preset comprehensive performance threshold parameters, the impact value parameter of the target object on the hydraulic system is calculated. The impact value parameter is used to represent the degree of impact of the target object on the hydraulic system.

[0148] Determine whether the influence value parameter is greater than or equal to the preset influence threshold parameter. If it is determined that the influence value parameter is greater than or equal to the preset influence threshold parameter, then determine the second region where the target object is located based on the second state sub-parameter of the target object.

[0149] Based on all the second region and third multi-dimensional state parameters, determine whether there is at least one first region in the hydraulic system.

[0150] As can be seen, implementing this optional embodiment can, for each target object, calculate a comprehensive performance parameter representing the overall performance of the target object in the hydraulic system based on the collected multi-dimensional selectable first state sub-parameters of the target object. Then, combined with a preset comprehensive performance threshold parameter, calculate an influence value parameter representing the degree of influence of the target object on the hydraulic system. When the influence value parameter is greater than or equal to the preset influence threshold parameter, the second region corresponding to the target object is determined based on the second state sub-parameters of the target object. Based on all second regions and the third multi-dimensional state parameter, it is determined whether there is at least one first region in the hydraulic system. This can help improve the accuracy, comprehensiveness, and timeliness of the analysis of fault warnings brought by the target object to the hydraulic system, and improve the accuracy, comprehensiveness, and timeliness of fault warnings for the hydraulic system.

[0151] In this optional embodiment, as an optional implementation, the aforementioned third multi-dimensional state parameter is used to represent the state of at least one third region in the hydraulic system. The third multi-dimensional state parameter includes at least one third state sub-parameter selected from pressure parameter, flow parameter, vibration parameter, sound field parameter, and light transmittance parameter. The specific method by which the aforementioned judgment module 302 determines whether at least one first region exists in the hydraulic system based on all second regions and the third multi-dimensional state parameter includes:

[0152] For each third region, determine the preset priority parameter for that third region; based on the preset priority parameter, match the dimensional state threshold parameter of each third state sub-parameter under that third region;

[0153] For each third state sub-parameter, determine whether the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter. When it is determined that the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter, calculate the target distance value between the third state sub-parameter and the dimension state threshold parameter corresponding to the third state sub-parameter. The target distance value is used to represent the distance between the third state sub-parameter and the corresponding dimension state threshold parameter.

[0154] Based on all target distance values, predict at least one fourth region in the hydraulic system. The fourth region is a pre-anomaly warning region in the hydraulic system and is different from the second region.

[0155] Based on all the second regions and all the fourth regions, at least one first region is identified in the hydraulic system.

[0156] As can be seen, implementing this optional embodiment can match the dimensional state threshold parameter of each third state sub-parameter under each third region based on the preset priority parameter of each determined third region. Then, for each third state sub-parameter, it is determined whether the third state sub-parameter is greater than or equal to the dimensional state threshold parameter corresponding to the third state sub-parameter. When the determination result is yes, the target distance value between the third state sub-parameter and the dimensional state threshold parameter corresponding to the third state sub-parameter is calculated to represent the distance between the third state sub-parameter and the corresponding dimensional state threshold parameter. Based on all target distance values, at least one fourth region existing in the hydraulic system is predicted as a preparatory abnormality warning region in the hydraulic system. Then, based on all second regions and all fourth regions, at least one first region existing in the hydraulic system is determined, so as to further improve the accuracy of the determination of the first region from the hydraulic system itself, and improve the comprehensiveness, accuracy and timeliness of the hydraulic system fault warning.

[0157] In this optional embodiment, as another optional implementation, the specific method by which the determination module 302 predicts the existence of at least one fourth region in the hydraulic system based on all target distance values ​​includes:

[0158] When there are at least two third state parameters, any two target distance values ​​will be determined as the target distance value set.

[0159] For each target distance value in each target distance value set, calculate the correlation degree between the third state sub-parameter corresponding to the target distance value and the third state sub-parameters corresponding to other target distance values ​​in the target distance value set. The correlation degree value is used to represent the degree of correlation influence between the third state sub-parameters in the target distance value set.

[0160] Based on all correlation values, predict at least one fourth region in the hydraulic system.

[0161] As can be seen, implementing this optional embodiment determines any at least two target distance values ​​as a set of target distance values; for each target distance value in each set of target distance values, a correlation degree value is calculated between the third state sub-parameter corresponding to the target distance value and the third state sub-parameter corresponding to other target distance values ​​in the set of target distance values, which represents the degree of correlation influence between the third state sub-parameters in the set of target distance values. Then, based on all correlation degree values, at least one fourth region existing in the hydraulic system is predicted. Furthermore, by combining the degree of correlation influence between each third state sub-parameter, the prediction accuracy and scientific nature of the fourth region can be further improved.

[0162] In this optional embodiment, as yet another optional implementation, the specific method by which the determination module 302 determines at least one first region existing in the hydraulic system based on all second regions and all fourth regions includes:

[0163] For each second region, based on the first state sub-parameter, the second state sub-parameter, and the influence value parameter of the target object corresponding to the second region, the anomaly type parameter of the second region is analyzed. The anomaly type parameter is used to indicate the type of influence of the second region on the hydraulic system. The influence type is used to indicate that the second region has at least one of the following effects on the hydraulic system: wear effect, jamming effect, and burning effect.

[0164] Based on the anomaly type parameters of all second regions, match the first region priority value of each second region;

[0165] For each fourth region, calculate the overlap value between the fourth region and each third region; based on all overlap values ​​and the preset priority parameter of each third region, match the second region priority value of the fourth region.

[0166] Based on all first region priority values ​​and all second region priority values, determine at least one first region existing in the hydraulic system.

[0167] It is evident that implementing this optional embodiment can further, on the one hand, after predicting the fourth region in the hydraulic system including potential anomalies and the second region corresponding to the target object, it can further combine the first state sub-parameter, the second state sub-parameter, and the influence value parameter of the target object corresponding to each second region to analyze the anomaly type parameter of the second region, which represents the multi-dimensional optional influence type of the second region on the hydraulic system. Based on the anomaly type parameters of all second regions, the first region priority value of each second region is matched. On the other hand, for each fourth region, the overlap value between the fourth region and each third region is calculated. Based on all overlap values ​​and the preset priority parameter of each third region, the second region priority value of the fourth region is matched. Finally, based on all first region priority values ​​and all second region priority values, at least one first region existing in the hydraulic system is determined, thereby further improving the accuracy and comprehensiveness of the determination of the first region, which is conducive to further improving the accuracy and comprehensiveness of fault prediction of the hydraulic system.

[0168] In an optional embodiment, the specific method by which the determination module 302 determines at least one first region existing in the hydraulic system based on all first region priority values ​​and all second region priority values ​​includes:

[0169] Determine whether there are any overlapping regions between all second regions and all fourth regions. If it is determined that there are overlapping regions between all second regions and all fourth regions, calculate the third region priority value of the overlapping region based on the first region priority value of the second region and the second region priority value of the fourth region corresponding to the overlapping region. The third region priority value is greater than the first region priority value and the second region priority value.

[0170] For each priority value among all first region priority values, all second region priority values, and all third region priority values, based on a preset priority threshold, at least one first region is determined to exist in the hydraulic system among all second regions, all fourth regions, and all intersecting regions, and the priority value corresponding to the first region is greater than or equal to the preset priority threshold.

[0171] As can be seen, implementing this optional embodiment can further determine whether there are overlapping regions between all second regions and all fourth regions. Based on the first region priority value of the second region and the second region priority value of the fourth region corresponding to the overlapping region, the third region priority value of the overlapping region is calculated. For each priority value among all first region priority values, all second region priority values, and all third region priority values, at least one first region in the hydraulic system is determined according to a preset priority threshold among all second regions, all fourth regions, and all overlapping regions. This helps to reduce the redundancy of the first region, improve the accuracy and comprehensiveness of fault warning of the first region, and further improve the accuracy and comprehensiveness of fault warning of the hydraulic system.

[0172] In another optional embodiment, the aforementioned fourth multi-dimensional state parameter includes at least one fourth state sub-parameter selected from wear state parameter, smoothness state parameter, cleanliness state parameter, color state parameter, and material distribution state parameter. The specific method by which the generation module 303 generates the fault warning parameters of the hydraulic system based on the fourth multi-dimensional state parameters of all first regions includes:

[0173] For each first region, determine the original state parameters of the first region, which correspond to the fourth multi-dimensional state parameters;

[0174] For each fourth state sub-parameter, the state adjustment degree value of the fourth state sub-parameter is calculated based on the fourth state sub-parameter and the original state parameter. The state adjustment degree value is used to represent the degree of difference between the fourth state sub-parameter and the original state parameter.

[0175] Based on the fourth state sub-parameter, analyze the state influence factor of the fourth state sub-parameter. The state influence factor is used to represent the factors that cause the fourth state sub-parameter to appear.

[0176] Based on all state adjustment levels and all state influence factors, fault warning parameters for the hydraulic system are generated. These parameters are also used to indicate all state adjustment levels and all state influence factors.

[0177] As can be seen, implementing the embodiments of the present invention enables, after determining at least one first region in the hydraulic system, to further determine the original state parameters of each first region. For each fourth state sub-parameter, based on the fourth state sub-parameter and the original state parameters, a state adjustment degree value representing the degree of difference between the fourth state sub-parameter and the original state parameters is calculated. Furthermore, based on the fourth state sub-parameter, a state influence factor representing the factors causing the occurrence of the fourth state sub-parameter is analyzed. Finally, based on all state adjustment degree values ​​and all state influence factors, fault warning parameters for the hydraulic system are generated to indicate the first region, the health status of the hydraulic system, all state adjustment degree values, and all state influence factors. This is beneficial for further improving the comprehensiveness, traceability, and accuracy of fault warnings in the hydraulic system, and enhancing the application safety of the hydraulic system.

[0178] Example 4

[0179] Please see Figure 4 , Figure 4 This is a schematic diagram of another hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis disclosed in this invention. This hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis can be applied to hydraulic systems, excavators, and other main equipment using piston pumps, piston motors, and hydraulic cylinders. It can also be applied to associated intelligent devices of the above-mentioned equipment. These intelligent devices include, but are not limited to, one or more of battery devices, cloud devices, edge computing devices, relay devices, base station devices, urban management devices, and intelligent connected devices; this invention does not limit the scope of these devices. Figure 4 As shown, the hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis may include:

[0180] Memory 401 that stores executable program code.

[0181] Processor 402 coupled to memory 401.

[0182] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis described in Embodiment 1 or Embodiment 2 of the present invention.

[0183] Example 5

[0184] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis described in Embodiment 1 or Embodiment 2 of this invention.

[0185] Example 6

[0186] This invention discloses a computer program product, which includes a non-transitory computer storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis described in Embodiment 1 or Embodiment 2.

[0187] 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.

[0188] 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.

[0189] Finally, it should be noted that the hydraulic system fault early warning method and device based on multi-dimensional parameter fusion analysis 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 fault early warning method for hydraulic systems based on multi-dimensional parameter fusion analysis, characterized in that, The method is applied to a hydraulic system, and the method includes: The first multi-dimensional state parameters of the hydraulic system are collected within a preset range. The first multi-dimensional state parameters include the second multi-dimensional state parameters of the target object existing in the hydraulic system and the third multi-dimensional state parameters of the hydraulic system itself. The target object includes impurities. Based on the first multi-dimensional state parameter, it is determined whether there is at least one first region in the hydraulic system. The fourth multi-dimensional state parameter of the first region matches the preset multi-dimensional state parameter. The fourth multi-dimensional state parameter is generated based on the first multi-dimensional state parameter. When the judgment result is yes, then the fault warning parameters of the hydraulic system are generated based on the fourth multi-dimensional state parameters of all the first regions. The fault warning parameters are used to indicate the health status of the first region and the hydraulic system.

2. The hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis according to claim 1, characterized in that, The second multi-dimensional state parameter includes a first state sub-parameter and a second state sub-parameter, wherein the first state sub-parameter includes at least one of shape parameter, size parameter, adhesiveness parameter, material type parameter, hardness parameter, weight parameter, and adhesion surface parameter, and the second state sub-parameter includes at least one of position parameter and color parameter; The step of determining whether at least one first region exists in the hydraulic system based on the first multi-dimensional state parameters includes: For each target object, a comprehensive performance parameter is calculated based on the first state sub-parameter of the target object. The comprehensive performance parameter is used to represent the comprehensive performance of the target object in the hydraulic system. Based on the comprehensive performance parameters and the preset comprehensive performance threshold parameters, the influence value parameter of the target object on the hydraulic system is calculated, and the influence value parameter is used to represent the degree of influence of the target object on the hydraulic system; Determine whether the influence value parameter is greater than or equal to the preset influence threshold parameter. If it is determined that the influence value parameter is greater than or equal to the preset influence threshold parameter, then determine the second region where the target object is located based on the second state sub-parameter of the target object. Based on all the second regions and the third multi-dimensional state parameters, determine whether there is at least one first region in the hydraulic system.

3. The hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis according to claim 2, characterized in that, The third multi-dimensional state parameter is used to represent the state of at least one third region in the hydraulic system. The third multi-dimensional state parameter includes at least one third state sub-parameter among pressure parameter, flow parameter, vibration parameter, sound field parameter, and light transmittance parameter. The step of determining whether at least one first region exists in the hydraulic system based on all the second regions and the third multi-dimensional state parameters includes: For each of the third regions, a preset priority parameter for the third region is determined; based on the preset priority parameter, the dimensional state threshold parameter of each of the third state sub-parameters under the third region is matched; For each of the third state sub-parameters, it is determined whether the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter. When it is determined that the third state sub-parameter is greater than or equal to the dimension state threshold parameter corresponding to the third state sub-parameter, the target distance value between the third state sub-parameter and the dimension state threshold parameter corresponding to the third state sub-parameter is calculated. The target distance value is used to represent the distance between the third state sub-parameter and the corresponding dimension state threshold parameter. Based on all the target distance values, at least one fourth region is predicted to exist in the hydraulic system. The fourth region is a pre-anomaly warning region in the hydraulic system and is different from the second region. Based on all the second regions and all the fourth regions, at least one first region existing in the hydraulic system is determined.

4. The hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis according to claim 3, characterized in that, When at least two of the third state sub-parameters exist, predicting at least one fourth region existing in the hydraulic system based on all the target distance values ​​includes: Define any two or more of the target distance values ​​as a set of target distance values; For each target distance value in each target distance value set, calculate the correlation degree between the third state sub-parameter corresponding to the target distance value and the third state sub-parameters corresponding to other target distance values ​​in the target distance value set. The correlation degree is used to represent the degree of correlation influence among the third state sub-parameters in the target distance value set. Based on all the aforementioned correlation values, predict at least one fourth region present in the hydraulic system.

5. The hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis according to claim 3, characterized in that, The step of determining at least one first region existing in the hydraulic system based on all the second regions and all the fourth regions includes: For each second region, based on the first state sub-parameter, the second state sub-parameter, and the influence value parameter corresponding to the target object, the anomaly type parameter of the second region is analyzed. The anomaly type parameter is used to indicate the type of influence of the second region on the hydraulic system. The influence type is used to indicate that the second region has at least one of wear effect, jamming effect, and burning effect on the hydraulic system. Based on the anomaly type parameters of all the second regions, match the first region priority value of each second region; For each of the fourth regions, calculate the overlap value between the fourth region and each of the third regions; based on all the overlap values ​​and the preset priority parameter of each of the third regions, match the second region priority value of the fourth region; Based on all the first region priority values ​​and all the second region priority values, at least one first region existing in the hydraulic system is determined.

6. The hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis according to claim 5, characterized in that, Determining at least one first region existing in the hydraulic system based on all first region priority values ​​and all second region priority values ​​includes: Determine whether there is an intersection between all the second regions and all the fourth regions. When it is determined that there is an intersection between all the second regions and all the fourth regions, calculate the third region priority value of the intersection based on the first region priority value of the second region and the second region priority value of the fourth region corresponding to the intersection. The third region priority value is greater than the first region priority value and the second region priority value. For each priority value among all first region priority values, all second region priority values, and all third region priority values, at least one first region existing in the hydraulic system is determined according to a preset priority threshold among all second regions, all fourth regions, and all intersection regions, wherein the priority value corresponding to the first region is greater than or equal to the preset priority threshold.

7. The hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis according to any one of claims 1-6, characterized in that, The fourth multi-dimensional state parameter includes at least one fourth state sub-parameter selected from wear state parameter, smoothness state parameter, cleanliness state parameter, color state parameter, and material distribution state parameter. Generating fault warning parameters for the hydraulic system based on the fourth multi-dimensional state parameters of all the first regions includes: For each of the first regions, the original state parameters of the first region are determined, and the original state parameters correspond to the fourth multi-dimensional state parameters. For each of the fourth state sub-parameters, a state adjustment degree value is calculated based on the fourth state sub-parameter and the original state parameter. The state adjustment degree value is used to represent the degree of difference between the fourth state sub-parameter and the original state parameter. Based on the fourth state sub-parameter, analyze the state influence factor of the fourth state sub-parameter, whereby the state influence factor is used to represent the factors that cause the fourth state sub-parameter to occur. Based on all the stated state adjustment degree values ​​and all the stated state influence factors, fault warning parameters for the hydraulic system are generated, and the fault warning parameters are also used to indicate all the stated state adjustment degree values ​​and all the stated state influence factors.

8. A hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis, characterized in that, The device is used in a hydraulic system, and the device includes: The acquisition module is used to acquire a first multi-dimensional state parameter within a preset range of the hydraulic system. The first multi-dimensional state parameter includes a second multi-dimensional state parameter of a target object existing in the hydraulic system and a third multi-dimensional state parameter of the hydraulic system itself. The target object includes impurities. The judgment module is used to determine whether there is at least one first region in the hydraulic system based on the first multi-dimensional state parameters. The fourth multi-dimensional state parameters of the first region match the preset multi-dimensional state parameters. The fourth multi-dimensional state parameters are generated based on the first multi-dimensional state parameters. The generation module is used to generate fault warning parameters for the hydraulic system based on the fourth multi-dimensional state parameters of all the first regions when the judgment result of the judgment module is yes. The fault warning parameters are used to indicate the health status of the first region and the hydraulic system.

9. A hydraulic system fault early warning device based on multi-dimensional parameter fusion analysis, 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 hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis 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 hydraulic system fault early warning method based on multi-dimensional parameter fusion analysis as described in any one of claims 1-7.

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