A method and device for predicting the residual life of a hydraulic system

Abstract

The application relates to the technical field of hydraulic systems and discloses a residual life prediction method and device for a hydraulic system, which comprises the following steps: acquiring a multidimensional state data set of the hydraulic system in a preset first time period, wherein the multidimensional state data set comprises a plurality of multidimensional state data subsets in the preset first time period; judging whether each multidimensional state data subset and other multidimensional state data subsets satisfy a preset error range condition to obtain a first judgment result; screening at least one target data subset according to the first judgment result; acquiring multidimensional motion state parameters of the hydraulic system corresponding to each multidimensional state data subset in each target data subset; analyzing target difference items of the multidimensional motion state parameters between all multidimensional state data subsets in the target data subset; and calculating a residual life prediction result of the hydraulic system according to all target difference items. It can be seen that the application can improve the residual life prediction accuracy of the hydraulic system.

Description

Technical Field

[0001] This invention relates to the field of hydraulic system technology, and in particular to a method and apparatus for predicting the remaining life of a hydraulic system. Background Technology

[0002] As the core power unit of industrial equipment, the reliability of hydraulic systems directly affects production safety and maintenance costs. With the intelligent upgrading of equipment, predictive maintenance is gradually replacing the traditional scheduled maintenance and post-failure maintenance modes, and Remaining Useful Life (RUL) prediction is one of the core technologies of predictive maintenance.

[0003] However, in practice, it has been found that the existing technology, which relies on a single degradation index for trend extrapolation, results in relatively low accuracy in predicting the remaining life of hydraulic systems. The predicted data can affect users' judgment of the application capabilities of hydraulic systems.

[0004] Therefore, improving the accuracy of predicting the remaining life of hydraulic systems is particularly important. Summary of the Invention

[0005] This invention provides a method and apparatus for predicting the remaining life of a hydraulic system, which can improve the accuracy of predicting the remaining life of a hydraulic system.

[0006] To address the aforementioned technical problems, the first aspect of this invention discloses a method for predicting the remaining life of a hydraulic system, the method comprising:

[0007] Obtain a multi-dimensional state dataset of the hydraulic system within a preset first time period. The multi-dimensional state dataset includes a subset of multi-dimensional state data corresponding to multiple time domains within the preset first time period. The subset of multi-dimensional state data includes multi-dimensional control state parameters of the hydraulic system corresponding to the time domains.

[0008] For each of the multi-dimensional state data subsets, determine whether the multi-dimensional state data subset satisfies the preset error range condition with other multi-dimensional state data subsets, and obtain the first judgment result;

[0009] Based on the first judgment result, at least one target data subset is selected, wherein the target data subset includes at least two multi-dimensional state data subsets that satisfy the preset error range condition;

[0010] For each target data subset, obtain the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data subset in the target data subset; analyze the target difference items of the multi-dimensional motion state parameters among all multi-dimensional state data subsets in the target data subset.

[0011] The remaining life prediction result of the hydraulic system is calculated based on all the target difference terms.

[0012] As an optional implementation, in the first aspect of the invention, calculating the remaining life prediction result of the hydraulic system based on all the target difference items includes:

[0013] For each target difference item, obtain the type parameter of the target difference item. The type parameter is used to indicate that the target difference item is one of parameter difference item, time domain difference item, and frequency domain difference item. The parameter difference item is used to indicate the difference in parameter values ​​between the multi-dimensional motion state parameters. The time domain difference item is used to indicate the difference in the time domain range of the corresponding parameters between the multi-dimensional motion state parameters. The frequency domain difference item is used to indicate the difference in the frequency domain range of the corresponding parameters between the multi-dimensional motion state parameters.

[0014] For each type parameter, calculate the distribution parameter of all target difference items under that type parameter, the distribution parameter being used to indicate the parameter distribution of all target difference items under that type parameter; calculate the target distance parameter between the distribution parameter and a preset benchmark parameter, the target distance parameter being used to represent the distance between the distribution parameter and the preset benchmark parameter, the preset benchmark parameter corresponding to the type parameter;

[0015] Based on all the target distance parameters, the target attenuation coefficient of the hydraulic system is calculated, and the target attenuation coefficient is used to represent the state attenuation of the hydraulic system;

[0016] The remaining life prediction result of the hydraulic system is calculated based on the target attenuation coefficient and the difference term of the preset limit target of the hydraulic system.

[0017] As an optional implementation, in the first aspect of the invention, calculating the target attenuation coefficient of the hydraulic system based on all the target distance parameters includes:

[0018] Obtain the application scenario parameters of the hydraulic system;

[0019] For each target distance parameter, a first priority parameter is matched according to the application scenario parameter.

[0020] Based on the application scenario parameters and the first priority parameter of all the target distance parameters, the target attenuation compensation parameter of the hydraulic system is matched;

[0021] The target attenuation coefficient of the hydraulic system is calculated based on all the target distance parameters, their first priority parameters, and the target attenuation compensation parameters.

[0022] As an optional implementation, in the first aspect of the present invention, calculating the remaining life prediction result of the hydraulic system based on the difference between the target attenuation coefficient and the preset limit target of the hydraulic system includes:

[0023] Obtain the current standard time of the hydraulic system;

[0024] Based on all the type parameters of all the target difference items, match the second priority parameter of the target attenuation coefficient and the third priority parameter of the preset limit target difference item;

[0025] The remaining life prediction result of the hydraulic system is calculated based on the current standard time, the target attenuation coefficient and its second priority parameter, and the preset limit target difference term and its third priority parameter.

[0026] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0027] Obtain the historical remaining life results of the hydraulic system, which include historical remaining life prediction results and historical remaining life actual results;

[0028] Based on the historical remaining life results, a predicted range for the remaining life of the hydraulic system is generated;

[0029] Determine whether the remaining life prediction result is within the remaining life prediction range. If it is determined that the remaining life prediction result is not within the remaining life prediction range, then generate the first remaining life compensation coefficient of the hydraulic system based on the historical remaining life result and the remaining life prediction result.

[0030] The remaining life prediction result of the hydraulic system is updated based on the first remaining life compensation coefficient.

[0031] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0032] The hydraulic system is subjected to multi-dimensional environmental state parameters during a preset second time period. The multi-dimensional environmental state parameters include at least two types of environmental state parameters.

[0033] For each environmental state parameter, it is determined whether the environmental state parameter is within the corresponding preset environmental state parameter range. When it is determined that the environmental state parameter is not within the corresponding preset environmental state parameter range, an environmental state compensation coefficient for the environmental state parameter is generated based on the environmental state parameter and the preset environmental state parameter range.

[0034] Based on all the environmental condition compensation coefficients, a second remaining life compensation coefficient for the hydraulic system is generated;

[0035] The remaining life prediction result of the hydraulic system is updated based on the second remaining life compensation coefficient.

[0036] As an optional implementation, in the first aspect of the present invention, the multi-dimensional control state parameters include at least two types of control state parameters; for each subset of multi-dimensional state data, determining whether the subset of multi-dimensional state data satisfies a preset error range condition with other subsets of multi-dimensional state data to obtain a first determination result includes:

[0037] For each control state parameter, calculate the distribution distance value between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets. The distribution distance value is used to represent the distribution distance between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets. Determine whether the distribution distance value is less than a preset distribution distance threshold for the control state parameter to obtain a second determination result for the control state parameter.

[0038] Based on all the second judgment results, the first judgment result is obtained.

[0039] A second aspect of the present invention discloses a device for predicting the remaining life of a hydraulic system, the device comprising:

[0040] The acquisition module is used to acquire a multi-dimensional state dataset of the hydraulic system within a preset first time period. The multi-dimensional state dataset includes a subset of multi-dimensional state data corresponding to multiple time domains within the preset first time period. The subset of multi-dimensional state data includes multi-dimensional control state parameters of the hydraulic system corresponding to the time domains.

[0041] The judgment module is used to determine, for each of the multi-dimensional state data subsets, whether the multi-dimensional state data subset satisfies the preset error range condition with other multi-dimensional state data subsets, and to obtain a first judgment result;

[0042] The filtering module is used to filter out at least one target data subset based on the first judgment result, wherein the target data subset includes at least two multi-dimensional state data subsets that satisfy the preset error range condition;

[0043] The acquisition module is further configured to acquire, for each target data subset, the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data subset in the target data subset;

[0044] The analysis module is used to analyze the target differences in the multi-dimensional motion state parameters among all the multi-dimensional state data subsets in the target data set.

[0045] A calculation module is used to calculate the remaining life prediction result of the hydraulic system based on all the target difference items.

[0046] As an optional implementation, in a second aspect of the invention, the specific method by which the calculation module calculates the remaining life prediction result of the hydraulic system based on all the target difference items includes:

[0047] For each target difference item, obtain the type parameter of the target difference item. The type parameter is used to indicate that the target difference item is one of parameter difference item, time domain difference item, and frequency domain difference item. The parameter difference item is used to indicate the difference in parameter values ​​between the multi-dimensional motion state parameters. The time domain difference item is used to indicate the difference in the time domain range of the corresponding parameters between the multi-dimensional motion state parameters. The frequency domain difference item is used to indicate the difference in the frequency domain range of the corresponding parameters between the multi-dimensional motion state parameters.

[0048] For each type parameter, calculate the distribution parameter of all target difference items under that type parameter, the distribution parameter being used to indicate the parameter distribution of all target difference items under that type parameter; calculate the target distance parameter between the distribution parameter and a preset benchmark parameter, the target distance parameter being used to represent the distance between the distribution parameter and the preset benchmark parameter, the preset benchmark parameter corresponding to the type parameter;

[0049] Based on all the target distance parameters, the target attenuation coefficient of the hydraulic system is calculated, and the target attenuation coefficient is used to represent the state attenuation of the hydraulic system;

[0050] The remaining life prediction result of the hydraulic system is calculated based on the target attenuation coefficient and the difference term of the preset limit target of the hydraulic system.

[0051] As an optional implementation, in a second aspect of the invention, the specific method by which the calculation module calculates the target attenuation coefficient of the hydraulic system based on all the target distance parameters includes:

[0052] Obtain the application scenario parameters of the hydraulic system;

[0053] For each target distance parameter, a first priority parameter is matched according to the application scenario parameter.

[0054] Based on the application scenario parameters and the first priority parameter of all the target distance parameters, the target attenuation compensation parameter of the hydraulic system is matched;

[0055] The target attenuation coefficient of the hydraulic system is calculated based on all the target distance parameters, their first priority parameters, and the target attenuation compensation parameters.

[0056] As an optional implementation, in a second aspect of the present invention, the specific method by which the calculation module calculates the remaining life prediction result of the hydraulic system based on the target attenuation coefficient and the preset limit target difference term of the hydraulic system includes:

[0057] Obtain the current standard time of the hydraulic system;

[0058] Based on all the type parameters of all the target difference items, match the second priority parameter of the target attenuation coefficient and the third priority parameter of the preset limit target difference item;

[0059] The remaining life prediction result of the hydraulic system is calculated based on the current standard time, the target attenuation coefficient and its second priority parameter, and the preset limit target difference term and its third priority parameter.

[0060] As an optional implementation, in a second aspect of the present invention, the acquisition module is further configured to acquire the historical remaining life results of the hydraulic system, the historical remaining life results including historical remaining life prediction results and historical remaining life actual results.

[0061] The device also includes:

[0062] The first generation module is used to generate the predicted range of the remaining life of the hydraulic system based on the historical remaining life results.

[0063] The judgment module is also used to determine whether the remaining lifetime prediction result is within the range of the remaining lifetime prediction.

[0064] The first generation module is further configured to generate a first remaining life compensation coefficient for the hydraulic system based on the historical remaining life result and the remaining life prediction result when the judgment module determines that the remaining life prediction result is not within the remaining life prediction range.

[0065] The first update module is used to update the remaining life prediction result of the hydraulic system according to the first remaining life compensation coefficient.

[0066] As an optional implementation, in a second aspect of the present invention, the acquisition module is further configured to acquire multi-dimensional environmental state parameters of the hydraulic system within a preset second time period, wherein the multi-dimensional environmental state parameters include at least two environmental state parameters.

[0067] The judgment module is also used to determine whether each environmental state parameter is within the corresponding preset environmental state parameter range.

[0068] The device also includes:

[0069] The second generation module is used to generate an environmental state compensation coefficient for an environmental state parameter based on the environmental state parameter and the preset environmental state parameter range when the judgment module determines that the environmental state parameter is not within the range of the corresponding preset environmental state parameter.

[0070] The second generation module is further configured to generate a second remaining life compensation coefficient for the hydraulic system based on all the environmental state compensation coefficients.

[0071] The second update module is used to update the remaining life prediction result of the hydraulic system according to the second remaining life compensation coefficient.

[0072] As an optional implementation, in the second aspect of the present invention, the multi-dimensional control state parameters include at least two types of control state parameters; for each subset of multi-dimensional state data, the judgment module determines whether the multi-dimensional state data subset satisfies a preset error range condition with other multi-dimensional state data subsets, and obtains the first judgment result in the following specific ways:

[0073] For each control state parameter, calculate the distribution distance value between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets. The distribution distance value is used to represent the distribution distance between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets. Determine whether the distribution distance value is less than a preset distribution distance threshold for the control state parameter to obtain a second determination result for the control state parameter.

[0074] Based on all the second judgment results, the first judgment result is obtained.

[0075] A third aspect of the present invention discloses another device for predicting the remaining life of a hydraulic system, the device comprising:

[0076] Memory containing executable program code;

[0077] A processor coupled to the memory;

[0078] The processor calls the executable program code stored in the memory to execute the remaining life prediction method for hydraulic systems disclosed in the first aspect of the present invention.

[0079] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the remaining life prediction method for a hydraulic system disclosed in the first aspect of the present invention.

[0080] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0081] In this embodiment of the invention, a multi-dimensional state dataset of a hydraulic system within a preset first time period is obtained. The multi-dimensional state dataset includes subsets of multi-dimensional state data corresponding to multiple time domains within the preset first time period. Each subset of multi-dimensional state data includes multi-dimensional control state parameters of the hydraulic system corresponding to its time domain. For each subset of multi-dimensional state data, it is determined whether the subset satisfies a preset error range condition with other subsets of multi-dimensional state data, resulting in a first judgment result. Based on the first judgment result, at least one target data subset is selected, including at least two subsets of multi-dimensional state data that satisfy the preset error range condition. For each target data subset, the multi-dimensional motion state parameters of the hydraulic system corresponding to each subset of multi-dimensional state data in the target data subset are obtained. Target differences in the multi-dimensional motion state parameters among all subsets of multi-dimensional state data in the target data subset are analyzed. Based on all target differences, the remaining life prediction result of the hydraulic system is calculated. As can be seen, implementing the embodiments of the present invention can determine whether the multi-dimensional state data subsets corresponding to each time domain in the multi-dimensional state dataset of the hydraulic system within a preset first time period meet the preset error range conditions, thereby filtering out at least one target data subset. Further, for each target data subset, based on the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data in the target data subset, the target difference terms of the multi-dimensional motion state parameters between all multi-dimensional state data subsets in the target data subset are analyzed. Then, based on all target difference terms, the remaining life prediction result of the hydraulic system is calculated, expanding the prediction range of the remaining life of the hydraulic system. Furthermore, by analyzing parameter difference terms from both the multi-dimensional control state parameters and multi-dimensional motion state parameters of the hydraulic system, the remaining life prediction result of the hydraulic system is calculated and analyzed, improving the accuracy and comprehensiveness of the calculation and analysis of the remaining life prediction result of the hydraulic system. This improves the accuracy and comprehensiveness of the remaining life prediction of the hydraulic system, and enhances the user's perception of the remaining life prediction result of the hydraulic system through both the control state and motion state aspects, which is beneficial to ensuring the stable operation and rational use of the hydraulic system. Attached Figure Description

[0082] 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.

[0083] Figure 1 This is a flowchart illustrating a method for predicting the remaining life of a hydraulic system disclosed in an embodiment of the present invention.

[0084] Figure 2 This is a flowchart illustrating another method for predicting the remaining life of a hydraulic system disclosed in an embodiment of the present invention.

[0085] Figure 3 This is a schematic diagram of the structure of a hydraulic system remaining life prediction device disclosed in an embodiment of the present invention;

[0086] Figure 4 This is a schematic diagram of the structure of another hydraulic system remaining life prediction device disclosed in an embodiment of the present invention;

[0087] Figure 5 This is a schematic diagram of the structure of another hydraulic system remaining life prediction device disclosed in the embodiments of the present invention. Detailed Implementation

[0088] 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.

[0089] 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.

[0090] 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.

[0091] This invention discloses a method and apparatus for predicting the remaining life of a hydraulic system. It can determine whether the subsets of multi-dimensional state data corresponding to each time domain in a multi-dimensional state dataset of the hydraulic system within a preset first time period meet a preset error range condition, thereby selecting at least one target data subset. Further, for each target data subset, based on the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data within the target data subset, it analyzes the target differences in the multi-dimensional motion state parameters among all multi-dimensional state data subsets in the target data subset. Then, based on all target differences, it calculates the remaining life prediction result of the hydraulic system. This expands the prediction range of the remaining life of the hydraulic system and improves the accuracy and comprehensiveness of the calculation and analysis of the remaining life prediction results by analyzing parameter differences from both the multi-dimensional control state parameters and multi-dimensional motion state parameters of the hydraulic system. In other words, it improves the accuracy and comprehensiveness of the remaining life prediction of the hydraulic system, and enhances the user's perception of the remaining life prediction results by considering both the control state and motion state of the hydraulic system, which is beneficial for ensuring the stable operation and rational use of the hydraulic system. Detailed descriptions follow.

[0092] Example 1

[0093] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for predicting the remaining life of a hydraulic system according to an embodiment of the present invention. Figure 1 The described method for predicting the remaining life of a hydraulic system can be applied to hydraulic systems, as well as to 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 method for predicting the remaining life of the hydraulic system may include the following operations:

[0094] 101. Obtain the multi-dimensional state dataset of the hydraulic system within a preset first time period. The multi-dimensional state dataset includes a subset of multi-dimensional state data corresponding to multiple time domains within the preset first time period. The subset of multi-dimensional state data includes the multi-dimensional control state parameters of the hydraulic system in the corresponding time domain.

[0095] In this embodiment of the invention, optionally, the above-mentioned multi-dimensional control state parameters may include, but are not limited to, hydraulic pump displacement parameters, prime mover speed parameters, hydraulic valve opening parameters, hydraulic pump pressure parameters, oil state parameters, system working pressure parameters, pressure pulsation amplitude / frequency parameters, relief valve opening frequency parameters, pump output flow parameters, actuator flow requirement parameters, leakage flow parameters, input mechanical power parameters (motor torque × speed), effective hydraulic power parameters (pressure × flow), and system overall efficiency parameters, etc.

[0096] 102. For each multi-dimensional state data subset, determine whether the multi-dimensional state data subset satisfies the preset error range condition with other multi-dimensional state data subsets, and obtain the first judgment result;

[0097] 103. Based on the first judgment result, select at least one target data subset, wherein the target data subset includes at least two multi-dimensional state data subsets that meet the preset error range conditions;

[0098] 104. For each target data subset, obtain the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data subset in the target data subset;

[0099] 105. Analyze the target differences in multidimensional motion state parameters among all multidimensional state data subsets in the target data set;

[0100] 106. Calculate the remaining life prediction results of the hydraulic system based on all target differences.

[0101] As can be seen, implementing the embodiments of the present invention can determine whether the multi-dimensional state data subsets corresponding to each time domain in the multi-dimensional state dataset of the hydraulic system within a preset first time period meet the preset error range conditions, thereby filtering out at least one target data subset. Further, for each target data subset, based on the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data in the target data subset, the target difference terms of the multi-dimensional motion state parameters between all multi-dimensional state data subsets in the target data subset are analyzed. Then, based on all target difference terms, the remaining life prediction result of the hydraulic system is calculated, expanding the prediction range of the remaining life of the hydraulic system. Furthermore, by analyzing parameter difference terms from both the multi-dimensional control state parameters and multi-dimensional motion state parameters of the hydraulic system, the remaining life prediction result of the hydraulic system is calculated and analyzed, improving the accuracy and comprehensiveness of the calculation and analysis of the remaining life prediction result of the hydraulic system. This improves the accuracy and comprehensiveness of the remaining life prediction of the hydraulic system, and enhances the user's perception of the remaining life prediction result of the hydraulic system through both the control state and motion state aspects, which is beneficial to ensuring the stable operation and rational use of the hydraulic system.

[0102] In this embodiment of the invention, as an optional implementation, the above-mentioned calculation of the remaining life prediction result of the hydraulic system based on all target difference items includes:

[0103] For each target difference item, obtain the type parameter of the target difference item. The type parameter is used to indicate that the target difference item is one of the parameter difference item, time domain difference item, and frequency domain difference item. The parameter difference item is used to indicate the difference in parameter values ​​between multi-dimensional motion state parameters. The time domain difference item is used to indicate the difference in the time domain range of the corresponding parameters between multi-dimensional motion state parameters. The frequency domain difference item is used to indicate the difference in the frequency domain range of the corresponding parameters between multi-dimensional motion state parameters.

[0104] For each type of parameter, calculate the distribution parameter of all target difference items under that type of parameter. The distribution parameter is used to indicate the parameter distribution of all target difference items under the type of parameter. Calculate the target distance parameter between the distribution parameter and the preset benchmark parameter. The target distance parameter is used to represent the distance between the distribution parameter and the preset benchmark parameter, which corresponds to the type parameter.

[0105] Based on all target distance parameters, calculate the target attenuation coefficient of the hydraulic system. The target attenuation coefficient is used to represent the state attenuation of the hydraulic system.

[0106] The remaining life prediction result of the hydraulic system is calculated based on the difference between the target attenuation coefficient and the preset limit target of the hydraulic system.

[0107] As can be seen, implementing this optional embodiment can calculate the distribution parameters of all target difference items under the corresponding type of parameters according to the target friction concept of different type parameters, so as to indicate the parameter distribution of all target difference items under the type of parameters. By calculating the target distance parameters between the distribution parameters and the preset benchmark parameters, the target attenuation coefficient of the hydraulic system can be calculated based on all target distance parameters. Based on the target attenuation coefficient and the preset limit target difference items of the hydraulic system, the remaining life prediction result of the hydraulic system can be calculated. This can further improve the depth, granularity, accuracy and comprehensiveness of the calculation and analysis of the remaining life prediction result of the hydraulic system.

[0108] In this optional embodiment, as an optional implementation, the above-mentioned calculation of the target attenuation coefficient of the hydraulic system based on all target distance parameters includes:

[0109] Obtain application scenario parameters for the hydraulic system;

[0110] For each target distance parameter, match the first priority parameter of that target distance parameter according to the application scenario parameters;

[0111] Based on the application scenario parameters and the first priority parameter of all target distance parameters, match the target attenuation compensation parameters of the hydraulic system;

[0112] Calculate the target attenuation coefficient of the hydraulic system based on all target distance parameters, their first priority parameters, and target attenuation compensation parameters.

[0113] It is evident that implementing this optional embodiment can further combine the application scenario parameters of the hydraulic system and match the first priority parameter of each target distance parameter, thereby further combining the matched target attenuation compensation parameters to improve the calculation accuracy of the target attenuation coefficient of the hydraulic system. This is beneficial to further improve the depth, granularity, accuracy, and comprehensiveness of the calculation and analysis results of the remaining life prediction of the hydraulic system.

[0114] In this optional embodiment, as another optional implementation, the above-mentioned calculation of the remaining life prediction result of the hydraulic system based on the target attenuation coefficient and the preset limit target difference term of the hydraulic system includes:

[0115] Obtain the current standard time of the hydraulic system;

[0116] Based on all types of parameters for all target difference items, match the second priority parameter of the target attenuation coefficient and the third priority parameter of the preset limit target difference item;

[0117] The remaining life prediction result of the hydraulic system is calculated based on the current standard time, the target attenuation coefficient and its second priority parameter, and the preset limit target difference term and its third priority parameter.

[0118] As can be seen, implementing this optional embodiment can further improve the accuracy, scientific rigor, feasibility, and intuitiveness of the remaining life prediction results of the hydraulic system by combining the current standard time of the hydraulic system with the second priority parameter of the target attenuation coefficient and the third priority parameter of the preset limit target difference item, based on all types of parameters of all target difference items. This is beneficial for further improving the accuracy, scientific rigor, feasibility, and intuitiveness of the calculation and analysis of the remaining life prediction results of the hydraulic system, and for enabling users to more intuitively and clearly understand the remaining life prediction results of the hydraulic system.

[0119] In this embodiment of the invention, as another optional implementation, the above method further includes:

[0120] Obtain the historical remaining life results of the hydraulic system, which include the historical remaining life prediction results and the actual historical remaining life results.

[0121] Based on historical remaining life results, generate the predicted range of the remaining life of the hydraulic system;

[0122] Determine whether the remaining life prediction result is within the remaining life prediction range. If it is determined that the remaining life prediction result is not within the remaining life prediction range, then generate the first remaining life compensation coefficient of the hydraulic system based on the historical remaining life results and the remaining life prediction result.

[0123] The remaining life prediction results of the hydraulic system are updated based on the first remaining life compensation coefficient.

[0124] As can be seen, implementing this optional embodiment can further combine the obtained historical remaining life results of the hydraulic system to generate the remaining life prediction range of the hydraulic system. When it is determined that the remaining life prediction result is not within the remaining life prediction range, a first remaining life compensation coefficient of the hydraulic system is generated based on the historical remaining life results and the remaining life prediction result. Based on the first remaining life compensation coefficient, the remaining life prediction result of the hydraulic system is updated, thereby further improving the accuracy of the correction of the remaining life prediction result of the hydraulic system, which is conducive to improving the user's hydraulic system user experience.

[0125] In this embodiment of the invention, optionally, in one application scenario, the method may specifically perform the following operations:

[0126] For the displacement signal D of the hydraulic pump, the rotational speed signal N of the prime mover, the opening signal X of the hydraulic valve, and the pressure signal P of the hydraulic pump obtained, the displacement signal D, the rotational speed signal N, the opening signal X, and the pressure signal P of the hydraulic pump in the same time domain are stored as a data set S. In different time domains {t1, t2,..., tn}, data sets {S1, S2,..., Sn} are obtained respectively, where Si (1 < i < n) = {Di, Ni, Xi, Pi};

[0127] Compare the consistency of the data sets S1, S2,..., Sn. For the preset error ranges D0, N0, X0, P0, make a judgment:

[0128] When |Da - Db| < D0, Da and Db are consistent;

[0129] When |Na - Nb| < N0, Na and Nb are consistent;

[0130] When |Xa - Xb| < X0, Xa and Xb are consistent;

[0131] When |Pa - Pb| < X0, Pa and Pb are consistent;

[0132] When Da and Db in two data sets Sa and Sb are consistent, and Na and Nb are consistent, and Xa and Xb are consistent, and Pa and Pb are consistent, it is determined that the data sets Sa and Sb are consistent;

[0133] For at least two data sets determined to be consistent, obtain the motion parameters corresponding to each data set and compare them. The comparison methods include at least one of the following:

[0134] Parameter difference: The difference in the motion parameter ranges in the same time range; for example, for the same time range of 30 seconds, the motion parameter cylinder stroke ranges are different, which are 100 mm - 1000 mm and 200 mm - 1000 mm respectively;

[0135] Time difference: The difference in the time ranges in the same motion parameter range; for example, for the same motion parameter cylinder stroke range of 100 mm - 1000 mm, the time ranges are different, which are 30 seconds and 34 seconds respectively;

[0136] Record the said parameter difference and / or time difference, and calculate its change trend over time. The specific method is as follows:

[0137] Calculate the mean JZ of a finite number of parameter differences and / or time differences closest to the current time T. For the preset parameter difference and / or time difference benchmark JZ0 and time benchmark T0, calculate △JZ1 = |JZ - JZ0|, and calculate △T1 = T - T0;

[0138] Calculate k = |JZ - JZ0| / (T - T0);

[0139] For the preset limit parameter difference and / or time difference JX, calculate Tx=T+|JX-JZ| / k, where Tx is the remaining life of the hydraulic system;

[0140] Furthermore, Txy = Tx + Tx0, where Tx0 is a preset correction coefficient;

[0141] Furthermore, Txy = Tx × Tx1, where Tx1 is a preset correction coefficient.

[0142] Example 2

[0143] Please see Figure 2 , Figure 2 This is a flowchart illustrating another method for predicting the remaining life of a hydraulic system disclosed in an embodiment of the present invention. Figure 2 The described method for predicting the remaining life of a hydraulic system can be applied to hydraulic systems, as well as to 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 method for predicting the remaining life of the hydraulic system may include the following operations:

[0144] 201. Obtain the multi-dimensional state dataset of the hydraulic system within a preset first time period. The multi-dimensional state dataset includes a subset of multi-dimensional state data corresponding to multiple time domains within the preset first time period. The subset of multi-dimensional state data includes the multi-dimensional control state parameters of the hydraulic system in the corresponding time domain.

[0145] 202. For each multi-dimensional state data subset, determine whether the multi-dimensional state data subset satisfies the preset error range condition with other multi-dimensional state data subsets, and obtain the first judgment result;

[0146] In this embodiment of the invention, as an optional implementation, the aforementioned multi-dimensional control state parameters include at least two types of control state parameters; for each multi-dimensional state data subset, determining whether the multi-dimensional state data subset satisfies a preset error range condition with other multi-dimensional state data subsets to obtain a first determination result includes:

[0147] For each control state parameter, calculate the distribution distance value between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets. The distribution distance value is used to represent the distribution distance between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets. Determine whether the distribution distance value is less than the preset distribution distance threshold of the control state parameter to obtain the second determination result of the control state parameter.

[0148] Based on all the results of the second judgment, the result of the first judgment is obtained.

[0149] It is evident that implementing this optional embodiment can further improve the accuracy of target data set selection by calculating the distribution distance between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets for each control state parameter, and determining whether the distribution distance is less than the preset distribution distance threshold of the control state parameter. This is beneficial for improving the accuracy and comprehensiveness of the calculation and analysis of the remaining life prediction results of the hydraulic system, that is, improving the accuracy and comprehensiveness of the remaining life prediction of the hydraulic system.

[0150] 203. Based on the first judgment result, select at least one target data subset, wherein the target data subset includes at least two multi-dimensional state data subsets that meet the preset error range conditions;

[0151] 204. For each target data subset, obtain the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data subset in the target data subset;

[0152] 205. Analyze the target differences in multi-dimensional motion state parameters among all multi-dimensional state data subsets in the target data set;

[0153] 206. Calculate the remaining life prediction results of the hydraulic system based on all target differences.

[0154] In this embodiment of the invention, for other supplementary explanations of steps 201-206, please refer to the supplementary explanations of steps 101-106 in Embodiment 1. This embodiment of the invention will not repeat them here.

[0155] 207. Obtain multi-dimensional environmental state parameters of the hydraulic system during a preset second time period. The multi-dimensional environmental state parameters include at least two types of environmental state parameters.

[0156] 208. For each environmental state parameter, determine whether the environmental state parameter is within the corresponding preset environmental state parameter range;

[0157] 209. When it is determined that the environmental state parameter is not within the corresponding preset environmental state parameter range, an environmental state compensation coefficient for the environmental state parameter is generated based on the environmental state parameter and the preset environmental state parameter range.

[0158] 210. Based on the compensation coefficients for all environmental conditions, generate the second remaining life compensation coefficient for the hydraulic system;

[0159] 211. Update the remaining life prediction results of the hydraulic system based on the second remaining life compensation coefficient.

[0160] As can be seen, implementing the embodiments of the present invention can, after calculating the remaining life prediction result of the hydraulic system, obtain multi-dimensional environmental state parameters of the hydraulic system within a preset second time period, and when it is determined that the environmental state parameter is not within the corresponding preset environmental state parameter range, generate an environmental state compensation coefficient for the environmental state parameter based on the environmental state parameter and the preset environmental state parameter range; generate a second remaining life compensation coefficient for the hydraulic system based on all environmental state compensation coefficients; and update the remaining life prediction result of the hydraulic system based on the second remaining life compensation coefficient, so as to further improve the accuracy of the calculation and analysis of the remaining life prediction result of the hydraulic system from the environmental state level, which is conducive to improving the user's perception of the remaining life prediction result of the hydraulic system and to ensuring the stable operation and rational use of the hydraulic system.

[0161] Example 3

[0162] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of a hydraulic system remaining life prediction device disclosed in an embodiment of the present invention. This hydraulic system remaining life prediction device can be applied to hydraulic systems, and also to 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 embodiments of the present invention do not limit the scope of these devices. Figure 3 As shown, the remaining life prediction device for the hydraulic system may include:

[0163] The acquisition module 301 is used to acquire a multi-dimensional state dataset of the hydraulic system within a preset first time period. The multi-dimensional state dataset includes a subset of multi-dimensional state data corresponding to multiple time domains within the preset first time period. The subset of multi-dimensional state data includes multi-dimensional control state parameters of the hydraulic system in the corresponding time domain.

[0164] The judgment module 302 is used to determine, for each multi-dimensional state data subset, whether the multi-dimensional state data subset satisfies the preset error range condition with other multi-dimensional state data subsets, and obtain the first judgment result;

[0165] The filtering module 303 is used to filter out at least one target data subset based on the first judgment result. The target data subset includes at least two multi-dimensional state data subsets that meet the preset error range conditions.

[0166] The acquisition module 301 is also used to acquire, for each target data subset, the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data subset in the target data subset;

[0167] Analysis module 304 is used to analyze the target difference items of multi-dimensional motion state parameters among all multi-dimensional state data subsets in the target data set;

[0168] The calculation module 305 is used to calculate the remaining life prediction results of the hydraulic system based on all target difference items.

[0169] In this embodiment of the invention, optionally, the remaining life prediction device for the hydraulic system can be applied to the hydraulic system, and the relevant connection relationships existing within the hydraulic system are as follows:

[0170] The prime mover is connected to the hydraulic pump, which drives the hydraulic pump to rotate; the hydraulic pump is connected to the hydraulic valve, which outputs hydraulic oil to the hydraulic valve; the hydraulic valve is connected to the cylinder and / or motor, which outputs hydraulic oil to drive the cylinder and / or motor to move.

[0171] The controller is connected to the hydraulic pump, outputs a displacement signal to the hydraulic pump to adjust the displacement of the hydraulic pump, and at the same time acquires the pressure signal at the outlet of the hydraulic pump.

[0172] The controller is connected to the hydraulic valve and outputs an opening signal to the hydraulic valve to adjust the opening of the hydraulic valve;

[0173] The controller is connected to the prime mover to obtain the prime mover's speed signal;

[0174] The controller is connected to the hydraulic cylinder and / or motor to acquire motion signals from the hydraulic cylinder and / or motor, the motion signals including at least one of the stroke, speed, angle, and angular velocity of the hydraulic cylinder and / or motor.

[0175] When the system is working, the prime mover drives the hydraulic pump to rotate, and the hydraulic pump outputs hydraulic flow. The hydraulic flow passes through the hydraulic valve and enters the cylinder and / or motor, driving the cylinder and / or motor to move. The controller outputs the displacement signal of the hydraulic pump and the opening signal of the hydraulic valve, adjusts the displacement of the hydraulic pump and the opening of the hydraulic valve, and thus adjusts the motion parameters of the cylinder and / or motor. The controller records the displacement signal of the hydraulic pump and the opening signal of the hydraulic valve. The controller acquires and records the speed signal of the prime mover, the pressure signal of the hydraulic pump, and the motion parameters of the cylinder and / or motor.

[0176] As can be seen, implementing the embodiments of the present invention can determine whether the multi-dimensional state data subsets corresponding to each time domain in the multi-dimensional state dataset of the hydraulic system within a preset first time period meet the preset error range conditions, thereby filtering out at least one target data subset. Further, for each target data subset, based on the multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data in the target data subset, the target difference terms of the multi-dimensional motion state parameters between all multi-dimensional state data subsets in the target data subset are analyzed. Then, based on all target difference terms, the remaining life prediction result of the hydraulic system is calculated, expanding the prediction range of the remaining life of the hydraulic system. Furthermore, by analyzing parameter difference terms from both the multi-dimensional control state parameters and multi-dimensional motion state parameters of the hydraulic system, the remaining life prediction result of the hydraulic system is calculated and analyzed, improving the accuracy and comprehensiveness of the calculation and analysis of the remaining life prediction result of the hydraulic system. This improves the accuracy and comprehensiveness of the remaining life prediction of the hydraulic system, and enhances the user's perception of the remaining life prediction result of the hydraulic system through both the control state and motion state aspects, which is beneficial to ensuring the stable operation and rational use of the hydraulic system.

[0177] In this embodiment of the invention, as an optional implementation, the specific method by which the calculation module 305 calculates the remaining life prediction result of the hydraulic system based on all target difference items includes:

[0178] For each target difference item, obtain the type parameter of the target difference item. The type parameter is used to indicate that the target difference item is one of the parameter difference item, time domain difference item, and frequency domain difference item. The parameter difference item is used to indicate the difference in parameter values ​​between multi-dimensional motion state parameters. The time domain difference item is used to indicate the difference in the time domain range of the corresponding parameters between multi-dimensional motion state parameters. The frequency domain difference item is used to indicate the difference in the frequency domain range of the corresponding parameters between multi-dimensional motion state parameters.

[0179] For each type of parameter, calculate the distribution parameter of all target difference items under that type of parameter. The distribution parameter is used to indicate the parameter distribution of all target difference items under the type of parameter. Calculate the target distance parameter between the distribution parameter and the preset benchmark parameter. The target distance parameter is used to represent the distance between the distribution parameter and the preset benchmark parameter, which corresponds to the type parameter.

[0180] Based on all target distance parameters, calculate the target attenuation coefficient of the hydraulic system. The target attenuation coefficient is used to represent the state attenuation of the hydraulic system.

[0181] The remaining life prediction result of the hydraulic system is calculated based on the difference between the target attenuation coefficient and the preset limit target of the hydraulic system.

[0182] As can be seen, implementing this optional embodiment can calculate the distribution parameters of all target difference items under the corresponding type of parameters according to the target friction concept of different type parameters, so as to indicate the parameter distribution of all target difference items under the type of parameters. By calculating the target distance parameters between the distribution parameters and the preset benchmark parameters, the target attenuation coefficient of the hydraulic system can be calculated based on all target distance parameters. Based on the target attenuation coefficient and the preset limit target difference items of the hydraulic system, the remaining life prediction result of the hydraulic system can be calculated. This can further improve the depth, granularity, accuracy and comprehensiveness of the calculation and analysis of the remaining life prediction result of the hydraulic system.

[0183] In this optional embodiment, as an optional implementation, the calculation module 305 calculates the target attenuation coefficient of the hydraulic system based on all target distance parameters in the following specific ways:

[0184] Obtain application scenario parameters for the hydraulic system;

[0185] For each target distance parameter, match the first priority parameter of that target distance parameter according to the application scenario parameters;

[0186] Based on the application scenario parameters and the first priority parameter of all target distance parameters, match the target attenuation compensation parameters of the hydraulic system;

[0187] Calculate the target attenuation coefficient of the hydraulic system based on all target distance parameters, their first priority parameters, and target attenuation compensation parameters.

[0188] It is evident that implementing this optional embodiment can further combine the application scenario parameters of the hydraulic system and match the first priority parameter of each target distance parameter, thereby further combining the matched target attenuation compensation parameters to improve the calculation accuracy of the target attenuation coefficient of the hydraulic system. This is beneficial to further improve the depth, granularity, accuracy, and comprehensiveness of the calculation and analysis results of the remaining life prediction of the hydraulic system.

[0189] In this optional embodiment, as another optional implementation, the calculation module 305 calculates the remaining life prediction result of the hydraulic system based on the target attenuation coefficient and the preset limit target difference term of the hydraulic system in the following specific ways:

[0190] Obtain the current standard time of the hydraulic system;

[0191] Based on all types of parameters for all target difference items, match the second priority parameter of the target attenuation coefficient and the third priority parameter of the preset limit target difference item;

[0192] The remaining life prediction result of the hydraulic system is calculated based on the current standard time, the target attenuation coefficient and its second priority parameter, and the preset limit target difference term and its third priority parameter.

[0193] As can be seen, implementing this optional embodiment can further improve the accuracy, scientific rigor, feasibility, and intuitiveness of the remaining life prediction results of the hydraulic system by combining the current standard time of the hydraulic system with the second priority parameter of the target attenuation coefficient and the third priority parameter of the preset limit target difference item, based on all types of parameters of all target difference items. This is beneficial for further improving the accuracy, scientific rigor, feasibility, and intuitiveness of the calculation and analysis of the remaining life prediction results of the hydraulic system, and for enabling users to more intuitively and clearly understand the remaining life prediction results of the hydraulic system.

[0194] In an optional embodiment, the acquisition module 301 described above is further used to acquire the historical remaining life results of the hydraulic system, the historical remaining life results including the historical remaining life prediction results and the historical remaining life actual results.

[0195] Optional, such as Figure 4 As shown, the device also includes:

[0196] The first generation module 306 is used to generate the predicted range of the remaining life of the hydraulic system based on the historical remaining life results.

[0197] The judgment module 302 is also used to determine whether the remaining lifetime prediction result is within the remaining lifetime prediction range;

[0198] The first generation module 306 is also used to generate the first remaining life compensation coefficient of the hydraulic system based on the historical remaining life results and the remaining life prediction results when the judgment module determines that the remaining life prediction result is not within the range of the remaining life prediction.

[0199] The first update module 307 is used to update the remaining life prediction result of the hydraulic system according to the first remaining life compensation coefficient.

[0200] As can be seen, implementing this optional embodiment can further combine the obtained historical remaining life results of the hydraulic system to generate the remaining life prediction range of the hydraulic system. When it is determined that the remaining life prediction result is not within the remaining life prediction range, a first remaining life compensation coefficient of the hydraulic system is generated based on the historical remaining life results and the remaining life prediction result. Based on the first remaining life compensation coefficient, the remaining life prediction result of the hydraulic system is updated, thereby further improving the accuracy of the correction of the remaining life prediction result of the hydraulic system, which is conducive to improving the user's hydraulic system user experience.

[0201] In another optional embodiment, the acquisition module 301 described above is further used to acquire multi-dimensional environmental state parameters of the hydraulic system during a preset second time period, the multi-dimensional environmental state parameters including at least two environmental state parameters.

[0202] The judgment module 302 is also used to determine whether each environmental state parameter is within the corresponding preset environmental state parameter range for each environmental state parameter.

[0203] Optional, such as Figure 4 As shown, the device also includes:

[0204] The second generation module 308 is used to generate an environmental state compensation coefficient for an environmental state parameter based on the environmental state parameter and the preset environmental state parameter range when the judgment module determines that the environmental state parameter is not within the range of the corresponding preset environmental state parameter.

[0205] The second generation module 308 is also used to generate a second remaining life compensation coefficient for the hydraulic system based on all environmental condition compensation coefficients.

[0206] The second update module 309 is used to update the remaining life prediction result of the hydraulic system according to the second remaining life compensation coefficient.

[0207] As can be seen, implementing the embodiments of the present invention can, after calculating the remaining life prediction result of the hydraulic system, obtain multi-dimensional environmental state parameters of the hydraulic system within a preset second time period, and when it is determined that the environmental state parameter is not within the corresponding preset environmental state parameter range, generate an environmental state compensation coefficient for the environmental state parameter based on the environmental state parameter and the preset environmental state parameter range; generate a second remaining life compensation coefficient for the hydraulic system based on all environmental state compensation coefficients; and update the remaining life prediction result of the hydraulic system based on the second remaining life compensation coefficient, so as to further improve the accuracy of the calculation and analysis of the remaining life prediction result of the hydraulic system from the environmental state level, which is conducive to improving the user's perception of the remaining life prediction result of the hydraulic system and to ensuring the stable operation and rational use of the hydraulic system.

[0208] In another optional embodiment, the aforementioned multi-dimensional control state parameters include at least two types of control state parameters; for each multi-dimensional state data subset, the aforementioned judgment module 302 determines whether the multi-dimensional state data subset satisfies the preset error range condition with other multi-dimensional state data subsets, and the specific method for obtaining the first judgment result includes:

[0209] For each control state parameter, calculate the distribution distance value between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets. The distribution distance value is used to represent the distribution distance between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets. Determine whether the distribution distance value is less than the preset distribution distance threshold of the control state parameter to obtain the second determination result of the control state parameter.

[0210] Based on all the results of the second judgment, the result of the first judgment is obtained.

[0211] It is evident that implementing this optional embodiment can further improve the accuracy of target data set selection by calculating the distribution distance between the control state parameter in the multi-dimensional state data subset and the control state parameters in other multi-dimensional state data subsets for each control state parameter, and determining whether the distribution distance is less than the preset distribution distance threshold of the control state parameter. This is beneficial for improving the accuracy and comprehensiveness of the calculation and analysis of the remaining life prediction results of the hydraulic system, that is, improving the accuracy and comprehensiveness of the remaining life prediction of the hydraulic system.

[0212] Example 4

[0213] Please see Figure 5 , Figure 5This is a schematic diagram of another hydraulic system remaining life prediction device disclosed in an embodiment of the present invention. This hydraulic system remaining life prediction device can be applied to hydraulic systems, and also to 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; the embodiments of the present invention do not limit this. Figure 5 As shown, the remaining life prediction device for the hydraulic system may include:

[0214] Memory 401 that stores executable program code.

[0215] Processor 402 coupled to memory 401.

[0216] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the hydraulic system remaining life prediction method described in Embodiment 1 or Embodiment 2 of the present invention.

[0217] Example 5

[0218] This invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute steps in the hydraulic system remaining life prediction method described in Embodiment 1 or Embodiment 2 of this invention.

[0219] Example 6

[0220] 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 remaining life prediction method described in Embodiment 1 or Embodiment 2.

[0221] 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.

[0222] 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.

[0223] Finally, it should be noted that the remaining life prediction method and apparatus for hydraulic systems 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 method of predicting the remaining life of a hydraulic system, characterized by, The method comprises: acquiring a multi-dimensional state data set of a hydraulic system within a preset first time period, the multi-dimensional state data set comprising a plurality of multi-dimensional state data subsets corresponding to a plurality of time domains within the preset first time period, each multi-dimensional state data subset comprising a plurality of multi-dimensional control state parameters of the hydraulic system corresponding to the time domain; for each multi-dimensional state data subset, determining whether the multi-dimensional state data subset and other multi-dimensional state data subsets satisfy a preset error range condition to obtain a first determination result; according to the first determination result, screening at least one target data subset, the target data subset comprising at least two multi-dimensional state data subsets satisfying the preset error range condition; for each target data subset, acquiring a plurality of multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data subset in the target data subset; and analyzing target difference items of the multi-dimensional motion state parameters between all multi-dimensional state data subsets in the target data subset; according to all target difference items, calculating a remaining life prediction result of the hydraulic system.

2. The method of predicting the remaining life of a hydraulic system according to claim 1, characterized in that, The method comprises: for each target difference item, acquiring a type parameter of the target difference item, the type parameter being used to indicate one of a parameter difference item, a time domain difference item, and a frequency domain difference item, the parameter difference item being used to indicate a parameter value difference between the multi-dimensional motion state parameters, the time domain difference item being used to indicate a difference in a parameter time domain range corresponding to the multi-dimensional motion state parameters, and the frequency domain difference item being used to indicate a difference in a parameter frequency domain range corresponding to the multi-dimensional motion state parameters; for each type parameter, calculating a distribution parameter of all target difference items under the type parameter, the distribution parameter being used to indicate a parameter distribution of all target difference items under the type parameter; calculating a target distance parameter between the distribution parameter and a preset reference parameter, the target distance parameter being used to indicate a distance between the distribution parameter and the preset reference parameter, and the preset reference parameter corresponding to the type parameter; according to all target distance parameters, calculating a target attenuation coefficient of the hydraulic system, the target attenuation coefficient being used to indicate a state attenuation of the hydraulic system; according to the target attenuation coefficient and a preset limit target difference item of the hydraulic system, calculating a remaining life prediction result of the hydraulic system.

3. The method of predicting the remaining life of a hydraulic system according to claim 2, characterized in that, The method comprises: acquiring an application scenario parameter of the hydraulic system; for each target distance parameter, matching a first priority parameter of the target distance parameter according to the application scenario parameter; according to the application scenario parameter and the first priority parameters of all target distance parameters, matching a target attenuation compensation parameter of the hydraulic system; and According to all the target distance parameters and the first priority parameters thereof and the target attenuation compensation parameters, a target attenuation coefficient of the hydraulic system is calculated.

4. The method of predicting the remaining life of a hydraulic system according to claim 2, characterized by, The calculation of the residual life prediction result of the hydraulic system according to the target attenuation coefficient and a preset limit target difference item of the hydraulic system comprises: A current standard time of the hydraulic system is acquired; According to all the type parameters of all the target difference items, a second priority parameter of the target attenuation coefficient and a third priority parameter of the preset limit target difference item are matched; According to the current standard time, the target attenuation coefficient and the second priority parameter thereof, and the preset limit target difference item and the third priority parameter thereof, a residual life prediction result of the hydraulic system is calculated.

5. The method of predicting the remaining life of a hydraulic system according to any one of claims 1 to 4, characterized in that, The method further comprises: A historical residual life result of the hydraulic system is acquired, the historical residual life result comprising a historical residual life prediction result and a historical residual life actual result; According to the historical residual life result, a residual life prediction range of the hydraulic system is generated; It is judged whether the residual life prediction result is within the residual life prediction range, and when it is judged that the residual life prediction result is not within the residual life prediction range, a first residual life compensation coefficient of the hydraulic system is generated according to the historical residual life result and the residual life prediction result; According to the first residual life compensation coefficient, the residual life prediction result of the hydraulic system is updated.

6. The method of predicting the remaining life of a hydraulic system according to any one of claims 1 to 4, characterized in that, The method further comprises: Multi-dimensional environmental state parameters of the hydraulic system within a preset second time period are acquired, the multi-dimensional environmental state parameters comprising at least two environmental state parameters; For each of the environmental state parameters, it is judged whether the environmental state parameter is within a corresponding preset environmental state parameter range, and when it is judged that the environmental state parameter is not within the corresponding preset environmental state parameter range, an environmental state compensation coefficient of the environmental state parameter is generated according to the environmental state parameter and the preset environmental state parameter range; According to all the environmental state compensation coefficients, a second residual life compensation coefficient of the hydraulic system is generated; According to the second residual life compensation coefficient, the residual life prediction result of the hydraulic system is updated.

7. The method of predicting the remaining life of a hydraulic system according to any one of claims 1 to 4, characterized in that, The multi-dimensional control state parameters comprise at least two control state parameters; for each of the multi-dimensional state data subsets, the judgment of whether the multi-dimensional state data subset and other multi-dimensional state data subsets satisfy a preset error range condition obtains a first judgment result, which comprises: For each of the control state parameters, a distribution distance value between the control state parameter in the multi-dimensional state data subset and the control state parameter in other multi-dimensional state data subsets is calculated, the distribution distance value being used to represent a distribution distance condition between the control state parameter in the multi-dimensional state data subset and the control state parameter in other multi-dimensional state data subsets; it is judged whether the distribution distance value is less than a preset distribution distance threshold value of the control state parameter, and a second judgment result of the control state parameter is obtained; According to all the second judgment results, a first judgment result is obtained.

8. A device for predicting the remaining life of a hydraulic system, characterized in that, The device comprises: An acquisition module is configured to acquire a multi-dimensional state data set of the hydraulic system within a preset first time period, the multi-dimensional state data set comprising a plurality of multi-dimensional state data subsets corresponding to a plurality of time domains within the preset first time period, each multi-dimensional state data subset comprising a plurality of multi-dimensional control state parameters of the hydraulic system corresponding to the time domain; A judgment module is configured to, for each multi-dimensional state data subset, judge whether the multi-dimensional state data subset and other multi-dimensional state data subsets satisfy a preset error range condition, to obtain a first judgment result; A screening module is configured to, according to the first judgment result, screen at least one target data set, the target data set comprising at least two multi-dimensional state data subsets satisfying the preset error range condition; The acquisition module is further configured to, for each target data set, acquire a plurality of multi-dimensional motion state parameters of the hydraulic system corresponding to each multi-dimensional state data subset in the target data set; An analysis module is configured to analyze target difference items of the multi-dimensional motion state parameters between all multi-dimensional state data subsets in the target data set; A calculation module is configured to calculate a residual life prediction result of the hydraulic system according to all the target difference items.

9. A residual life prediction device of a hydraulic system, characterized by, The device comprises: A memory storing executable program codes; A processor coupled with the memory; The processor invokes the executable program codes stored in the memory to execute the residual life prediction method of the hydraulic system according to 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 configured to execute the residual life prediction method of the hydraulic system according to any one of claims 1-7.

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