A load-bearing capacity monitoring system and method for excavator hydraulic cylinders

Abstract

This invention discloses a load-bearing capacity monitoring system and method for excavator hydraulic cylinders, relating to the field of excavator hydraulic cylinder load-bearing capacity monitoring and management technology. The load-bearing capacity monitoring system for excavator hydraulic cylinders includes: a load-bearing monitoring data acquisition module, an acquisition quality assessment module, a monitoring optimization assessment module, and a performance compliance assessment module. This invention assesses the acquisition quality of preset excavator hydraulic cylinder load-bearing capacity monitoring data to determine whether to perform excavator hydraulic cylinder load-bearing monitoring optimization. Then, it assesses the effect of the excavator hydraulic cylinder load-bearing monitoring optimization to determine whether to perform excavator hydraulic cylinder performance compliance assessment. Finally, it obtains the cylinder performance compliance index after performing the excavator hydraulic cylinder performance compliance assessment and determines whether to perform excavator hydraulic cylinder load-bearing capacity optimization. This achieves the effect of improving the accuracy of excavator hydraulic cylinder load-bearing capacity monitoring and solves the problem of inaccurate excavator hydraulic cylinder load-bearing capacity monitoring in the prior art.

Description

Technical Field

[0001] This invention relates to the field of load-bearing capacity monitoring and management technology for excavator cylinders, and particularly to a load-bearing capacity monitoring system and method for excavator cylinders. Background Technology

[0002] Excavator cylinders are crucial components of hydraulic systems, widely used in construction machinery, manufacturing equipment, aerospace, and transportation. With increasing industrial automation, monitoring the reliability and load-bearing capacity of excavator cylinders has become increasingly important. In hydraulic systems, the load on the excavator cylinder directly affects the system's efficiency, stability, and safety. Therefore, monitoring the load-bearing capacity of excavator cylinders is critical, especially in operating environments with significant load variations. With the continuous development of monitoring technology, future excavator cylinder load-bearing capacity monitoring will become more intelligent and precise, enabling better prediction, diagnosis, and maintenance, thus providing strong support for industrial automation and intelligent manufacturing.

[0003] Existing excavator hydraulic cylinder load capacity monitoring systems use various sensors to collect and monitor the working status of the excavator hydraulic cylinders in real time. Then, using wireless communication technologies (such as Wi-Fi, Bluetooth, 5G, etc.), the collected data is transmitted to a remote monitoring system. Operators can monitor the equipment status in real time through a central control room or cloud platform, ensuring that the excavator hydraulic cylinders operate within their working load range. This comprehensive monitoring of the excavator hydraulic cylinders' load capacity enables real-time monitoring, fault diagnosis, and predictive maintenance of the hydraulic cylinders' working status, thereby improving equipment operating efficiency and safety, and reducing production downtime and safety accidents caused by equipment failures.

[0004] For example, patent application CN118896847A discloses a hydraulic cylinder pressure testing device, including a testing platform, a conveyor belt set on the testing platform for transporting hydraulic cylinders, and an air nozzle. Support frames are fixedly mounted on both sides of the conveyor belt on the testing platform. Through the setting of limiting components, when an abnormality occurs during pressure testing, the telescopic end of the hydraulic cylinder pushes a limiting rod, causing the limiting rod to slide along a limiting plate. This extends the end of the limiting rod that was originally flush with the limiting plate, while simultaneously compressing the limiting elastic element, facilitating observation of the hydraulic cylinder's deformation. Simultaneously, through the coordinated arrangement of the transmission structure and drive mechanism, when the cylinder body deforms, the clamping plate drives the transmission rod to rotate around the connection point with the support frame, synchronously rotating the pointing rod. By observing the pointing scale before and after the pointing rod, the amount of deformation of the cylinder body can be clearly observed.

[0005] For example, the invention patent announcement CN118794680B discloses a performance testing device for hydraulic cylinders, including a housing, a miniature vibration motor, and an air blowing plate. The housing is equipped with a switch door and a partition plate. A hydraulic cylinder is connected to the housing. The miniature vibration motor is fixedly connected to the hydraulic cylinder. The air blowing plate blows air, causing sand in the right side of the partition plate to rise, simulating a desert environment. The miniature vibration motor vibrates the extension rod of the hydraulic cylinder, simulating the vibration generated when the hydraulic cylinder pushes an object to move.

[0006] However, in the process of implementing the inventive technical solution in the embodiments of this application, it was found that the above-mentioned technology has at least the following technical problems:

[0007] Excavator hydraulic cylinders operate in complex environments, potentially encountering extreme conditions such as high temperatures, humidity, and vibration. These environmental factors can affect sensor performance and data acquisition stability, especially in environments like mines and offshore platforms. Furthermore, excavator hydraulic cylinders may experience complex load conditions during actual operation (such as cylinder tension and compression), which can lead to changes in their load-bearing capacity, and these changes are difficult to accurately identify.

[0008] It is also important to consider that the load-bearing capacity of excavator hydraulic cylinders is related not only to factors such as pressure and displacement, but also to factors such as the cylinder's material, shape, and external environment. As the excavator hydraulic cylinders are used over time, aging, wear, and fatigue may occur, leading to a gradual decrease in their load-bearing capacity. The monitoring process may struggle to identify the long-term aging process of the excavator hydraulic cylinders, resulting in the failure to detect potential faults and inaccurate monitoring of the excavator hydraulic cylinder's load-bearing capacity. Summary of the Invention

[0009] This application provides a system and method for monitoring the load-bearing capacity of excavator cylinders, which solves the problem of inaccurate monitoring of the load-bearing capacity of excavator cylinders in the prior art and improves the accuracy of excavator cylinder load-bearing capacity monitoring.

[0010] This application provides a load-bearing capacity monitoring system for excavator cylinders, including: a load-bearing monitoring data acquisition module, an acquisition quality assessment and judgment module, a monitoring optimization assessment and judgment module, and a performance compliance assessment and judgment module; wherein, the load-bearing monitoring data acquisition module is used to acquire load-bearing capacity monitoring data of preset excavator cylinders within a preset time interval; the acquisition quality assessment and judgment module is used to assess the acquisition quality of the load-bearing capacity monitoring data of the preset excavator cylinders to obtain a cylinder load-bearing acquisition quality index, and to determine whether to perform excavator cylinder load-bearing monitoring optimization based on the cylinder load-bearing acquisition quality index, wherein the cylinder load-bearing acquisition quality index is used to quantitatively assess the acquisition quality of the excavator cylinder load-bearing capacity monitoring data; The monitoring, optimization, evaluation, and judgment module is used to evaluate the effect of excavator cylinder load monitoring and optimization after execution, obtaining a cylinder load monitoring and optimization index. Based on the cylinder load monitoring and optimization index, it determines whether to perform excavator cylinder performance compliance assessment. The cylinder load monitoring and optimization index is used to comprehensively quantify the effect of excavator cylinder load monitoring and optimization. The performance compliance assessment and judgment module is used to obtain the cylinder performance compliance index after execution of excavator cylinder performance compliance assessment. Based on the cylinder load acquisition quality index and the cylinder load monitoring and optimization index, it determines whether to perform excavator cylinder load capacity optimization. The cylinder performance compliance index is used to quantitatively evaluate the performance compliance of the excavator cylinder.

[0011] Furthermore, the specific steps for evaluating the data acquisition quality of the pre-set excavator cylinder's load-bearing capacity monitoring data to obtain the cylinder load-bearing acquisition quality index are as follows: Obtain load-bearing acquisition quality related evaluation values ​​within a pre-set time interval, including load-bearing capacity measurement values, load-bearing capacity measurement mean, and load-bearing capacity measurement standard deviation; combine the load-bearing quality related evaluation values ​​with load-bearing acquisition reference data obtained from a pre-set database to obtain the cylinder load-bearing acquisition quality index; the load-bearing acquisition reference data includes load-bearing acquisition reference weights and load-bearing acquisition reference values; the load-bearing acquisition reference weights include acquisition error evaluation weights and acquisition noise evaluation weights; the load-bearing acquisition reference values ​​include load-bearing capacity reference values, minimum load-bearing acquisition reference error, and minimum load-bearing acquisition reference signal-to-noise ratio.

[0012] Furthermore, the method for obtaining the hydraulic cylinder load-bearing mass index is as follows:

[0013]

[0014] In the formula, Yc represents the hydraulic cylinder load-bearing acquisition quality index, δ1 represents the acquisition error assessment weight, δ2 represents the acquisition noise assessment weight, n represents the number of the preset time within the preset time interval, n = 1, 2, ..., N, N represents the total number of preset time points within the preset time interval, m represents the category number of the load-bearing capacity monitoring data, m = 1, 2, ..., M, M represents the total number of load-bearing capacity monitoring data categories, Q m,n This represents the load-bearing capacity measurement value of the m-th load-bearing capacity monitoring data category at the n-th preset time interval. W represents the reference value for the carrying capacity quality of the m-th carrying capacity monitoring data category. min This indicates the minimum load-bearing acquisition reference error. This represents the average value of the carrying capacity data measurements for the m-th carrying capacity monitoring data category. ΔS represents the standard deviation of the load-bearing capacity measurement for the m-th load-bearing capacity monitoring data category. min This represents the minimum reference signal-to-noise ratio.

[0015] Furthermore, the specific steps for determining whether to perform excavator cylinder load monitoring optimization based on the cylinder load acquisition quality index are as follows: The cylinder load acquisition quality index is compared with a preset load acquisition quality threshold range obtained from a preset database; if the cylinder load acquisition quality index is within the preset load acquisition quality threshold range, excavator cylinder load monitoring optimization is not performed, and the load capacity monitoring data and cylinder load acquisition quality index are encrypted, and the encrypted data is uploaded to the cloud for storage; if the cylinder load acquisition quality index exceeds the preset load acquisition quality threshold range, excavator cylinder load monitoring optimization is performed, and the effect of the excavator cylinder load monitoring optimization is evaluated to obtain the cylinder load monitoring optimization index.

[0016] Furthermore, the specific steps for optimizing the excavator cylinder load monitoring are as follows: A1, perform sensor calibration optimization on the excavator cylinder, and determine whether the monitored cylinder load acquisition quality index is within the preset load acquisition quality threshold range. If yes, stop the excavator cylinder load monitoring optimization; otherwise, proceed to A2; A2, perform data acquisition optimization on the excavator cylinder, and determine whether the monitored cylinder load acquisition quality index is within the preset load acquisition quality threshold range. If yes, stop the excavator cylinder load monitoring optimization; otherwise, proceed to A3; A3, perform energy efficiency optimization on the excavator cylinder monitoring, and simultaneously evaluate the effect of the excavator cylinder load monitoring optimization to obtain the cylinder load monitoring optimization index.

[0017] Furthermore, the specific steps for evaluating the effect of excavator cylinder load monitoring optimization to obtain the cylinder load monitoring optimization index are as follows: Obtain initial load monitoring data before performing excavator cylinder load monitoring optimization, including the initial cylinder load acquisition quality index, initial power consumption, and initial sampling frequency; obtain optimized load monitoring data after performing excavator cylinder load monitoring optimization, including the optimized cylinder load acquisition quality index, optimized power consumption, and optimized sampling frequency; and obtain the cylinder load monitoring optimization index by combining the initial load monitoring data, the optimized load monitoring data, and the optimized acquisition and power consumption evaluation weights obtained from a preset database.

[0018] Furthermore, the specific steps for determining whether to perform the excavator cylinder performance compliance assessment based on the cylinder load monitoring optimization index are as follows: The cylinder load monitoring optimization index is compared with a preset monitoring optimization threshold range obtained from a preset database; if the cylinder load monitoring optimization index is within the preset monitoring optimization threshold range, the excavator cylinder performance compliance assessment is performed, and the cylinder performance compliance index after the assessment is obtained; if the cylinder load monitoring optimization index exceeds the preset monitoring optimization threshold range, the excavator cylinder performance compliance assessment is not performed, and the preset personnel are reminded to perform excavator cylinder load monitoring self-repair.

[0019] Furthermore, the specific steps for obtaining the hydraulic cylinder performance compliance index after performing the excavator hydraulic cylinder performance compliance assessment are as follows: Obtain excavator hydraulic cylinder performance compliance assessment data within a preset time interval to be assessed. This data includes the excavator hydraulic cylinder's maximum output force, effective area, maximum speed, maximum leakage, displacement change, output force change, and load change. The hydraulic cylinder performance compliance index is obtained by combining the excavator hydraulic cylinder performance compliance assessment data with performance compliance reference data obtained from a preset database. This reference data includes performance compliance reference values ​​and performance compliance reference weights. The performance compliance reference values ​​include the excavator hydraulic cylinder's reference output power, maximum leakage, and maximum response time. The performance compliance reference weights include efficiency compliance assessment weights, sealing performance assessment weights, response compliance assessment weights, and adaptive compliance assessment weights.

[0020] Furthermore, the specific steps for determining whether to perform excavator cylinder load capacity optimization based on the cylinder load acquisition quality index and the cylinder load monitoring optimization index are as follows: M1, determine whether the acquired cylinder load acquisition quality index is within the preset load acquisition quality threshold range. If the cylinder load acquisition quality index exceeds the preset load acquisition quality threshold range, then execute M2; otherwise, do not perform excavator cylinder load capacity optimization; M2, determine whether the acquired cylinder load monitoring optimization index is within the preset monitoring optimization threshold range. If the cylinder load monitoring optimization index is within the preset monitoring optimization threshold range, then execute M3; otherwise, stop excavator cylinder load capacity optimization; M3, determine whether the acquired cylinder performance compliance index is within the preset performance compliance threshold range. If the cylinder performance compliance index is within the preset performance compliance threshold range, then do not perform excavator cylinder load capacity optimization; otherwise, perform excavator cylinder load capacity optimization; The excavator cylinder load capacity optimization includes excavator cylinder load structure optimization and excavator cylinder load environment optimization.

[0021] This application provides a method for monitoring the load-bearing capacity of excavator cylinders, comprising the following steps: S1, collecting load-bearing capacity monitoring data of preset excavator cylinders within a preset time interval; S2, evaluating the quality of the collected load-bearing capacity monitoring data of the preset excavator cylinders to obtain a cylinder load-bearing acquisition quality index, and determining whether to perform excavator cylinder load-bearing monitoring optimization based on the cylinder load-bearing acquisition quality index, wherein the cylinder load-bearing acquisition quality index is used to quantitatively evaluate the quality of the collected load-bearing capacity monitoring data of the excavator cylinders; S3, after performing excavator cylinder load-bearing monitoring optimization, evaluating the effect of the optimization to obtain a cylinder load-bearing monitoring optimization index, and determining whether to perform excavator cylinder performance compliance assessment based on the cylinder load-bearing monitoring optimization index, wherein the cylinder load-bearing monitoring optimization index is used to comprehensively quantify the effect of excavator cylinder load-bearing monitoring optimization; S4, obtaining the cylinder performance compliance index after performing the excavator cylinder performance compliance assessment, and determining whether to perform excavator cylinder load-bearing capacity optimization based on the cylinder load-bearing acquisition quality index and the cylinder load-bearing monitoring optimization index, wherein the cylinder performance compliance index is used to quantitatively evaluate the performance compliance of the excavator cylinders.

[0022] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0023] 1. By evaluating the quality of the pre-set excavator cylinder load capacity monitoring data acquisition, it is determined whether to perform excavator cylinder load capacity monitoring optimization. Then, the effect of the excavator cylinder load capacity monitoring optimization is evaluated to determine whether to perform excavator cylinder performance compliance assessment. Finally, the cylinder performance compliance index after the excavator cylinder performance compliance assessment is obtained, and it is determined whether to perform excavator cylinder load capacity optimization. This achieves a quantitative evaluation of the excavator cylinder load capacity monitoring optimization effect and performance compliance, thereby improving the accuracy of excavator cylinder load capacity monitoring and effectively solving the problem of inaccurate excavator cylinder load capacity monitoring in the existing technology.

[0024] 2. By acquiring the initial load monitoring data before the excavator cylinder load monitoring optimization is performed, and the optimized load monitoring data after the optimization is performed, the cylinder load monitoring optimization index is obtained by combining the initial load monitoring data, the optimized load monitoring data, and the monitoring acquisition optimization evaluation weight and monitoring power consumption optimization evaluation weight obtained from the preset database. This enables a numerical evaluation of the excavator cylinder load monitoring optimization effect, and thus achieves a more accurate evaluation of the excavator cylinder load monitoring optimization effect.

[0025] 3. By acquiring the excavator cylinder performance compliance assessment data within the preset time interval to be evaluated, and then combining the excavator cylinder performance compliance assessment data with the performance compliance reference data obtained from the preset database, the cylinder performance compliance index is obtained, thereby realizing the numerical assessment of the excavator cylinder performance compliance degree, and thus achieving a more accurate assessment of the excavator cylinder performance compliance degree. Attached Figure Description

[0026] Figure 1 A schematic diagram of a load-bearing capacity monitoring system for excavator cylinders provided in an embodiment of this application;

[0027] Figure 2 The diagram illustrates the change of the cylinder load monitoring optimization index provided in this application embodiment, wherein (a) is a diagram illustrating the change of the cylinder load monitoring optimization index with the monitoring and optimization cylinder load acquisition quality index, and (b) is a diagram illustrating the change of the cylinder load monitoring optimization index with the monitoring and optimization power consumption.

[0028] Figure 3 A flowchart illustrating a method for monitoring the load-bearing capacity of an excavator cylinder, provided as an embodiment of this application. Detailed Implementation

[0029] This application provides a system and method for monitoring the load-bearing capacity of excavator cylinders, solving the problem of inaccurate monitoring of excavator cylinder load-bearing capacity in the prior art. It collects load-bearing capacity monitoring data of preset excavator cylinders within a preset time interval, then evaluates the data collection quality to obtain a cylinder load-bearing capacity collection quality index. Based on this index, it determines whether to perform excavator cylinder load-bearing capacity monitoring optimization. Next, it evaluates the optimization effect to obtain a cylinder load-bearing capacity monitoring optimization index and determines whether to perform an excavator cylinder performance compliance assessment. Finally, it obtains the cylinder performance compliance index after the performance compliance assessment. Based on the cylinder load-bearing capacity collection quality index and the cylinder load-bearing capacity monitoring optimization index, it determines whether to perform excavator cylinder load-bearing capacity optimization, thus improving the accuracy of excavator cylinder load-bearing capacity monitoring.

[0030] The technical solution in this application embodiment is to solve the problem of inaccurate monitoring of the load-bearing capacity of excavator cylinders. The overall approach is as follows:

[0031] By evaluating the quality of the pre-set excavator cylinder load capacity monitoring data, it is determined whether to perform excavator cylinder load capacity monitoring optimization. Then, the effect of the excavator cylinder load capacity monitoring optimization is evaluated to determine whether to perform excavator cylinder performance compliance assessment. Finally, the cylinder performance compliance index after the excavator cylinder performance compliance assessment is obtained, and it is determined whether to perform excavator cylinder load capacity optimization. This achieves the effect of improving the accuracy of excavator cylinder load capacity monitoring.

[0032] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0033] like Figure 1The diagram shown is a structural schematic of a load-bearing capacity monitoring system for excavator cylinders provided in this application embodiment. The system includes: a load-bearing monitoring data acquisition module, an acquisition quality assessment module, a monitoring optimization assessment module, and a performance compliance assessment module. The load-bearing monitoring data acquisition module acquires load-bearing capacity monitoring data for a preset excavator cylinder within a preset time interval. The acquisition quality assessment module evaluates the acquisition quality of the load-bearing capacity monitoring data for the preset excavator cylinder to obtain a cylinder load-bearing acquisition quality index. Based on the cylinder load-bearing acquisition quality index, it determines whether to perform excavator cylinder load-bearing monitoring optimization. The cylinder load-bearing acquisition quality index is used for quantitative evaluation. The system assesses the quality of data acquisition for monitoring the load-bearing capacity of excavator cylinders. The monitoring optimization evaluation module evaluates the effectiveness of cylinder load-bearing monitoring optimization after execution, obtaining a cylinder load-bearing monitoring optimization index. Based on this index, it determines whether to perform a performance compliance assessment of the excavator cylinders. The cylinder load-bearing monitoring optimization index is used to comprehensively quantify the effectiveness of the excavator cylinder load-bearing monitoring optimization. The performance compliance assessment module obtains the cylinder performance compliance index after the excavator cylinder performance compliance assessment. Based on the cylinder load-bearing data acquisition quality index and the cylinder load-bearing monitoring optimization index, it determines whether to perform excavator cylinder load-bearing capacity optimization. The cylinder performance compliance index is used to quantitatively assess the performance compliance of the excavator cylinders.

[0034] In this embodiment, the load-bearing capacity monitoring data includes load-bearing load data, load-bearing displacement data, load-bearing pressure data, load-bearing speed data, load-bearing oil flow rate data, and load-bearing temperature data.

[0035] Specifically, load data is obtained through a load sensor deployed on the excavator cylinder piston, displacement data is obtained through a displacement sensor deployed on the excavator cylinder piston rod, pressure data is obtained through a pressure sensor deployed on the excavator cylinder inlet, speed data is obtained through a speed sensor deployed on the excavator cylinder piston rod, oil flow data is obtained through a flow sensor deployed on the oil inlet, and temperature data is obtained through a temperature sensor deployed on the oil inlet.

[0036] By collecting load-bearing capacity monitoring data, the quality of excavator cylinder load-bearing capacity monitoring data collection is evaluated, thereby improving the reliability of data during excavator cylinder monitoring and thus improving the accuracy of excavator cylinder load-bearing capacity monitoring and evaluation.

[0037] Furthermore, the specific steps for evaluating the data acquisition quality of the pre-set excavator cylinder load capacity monitoring data to obtain the cylinder load acquisition quality index are as follows: Obtain relevant evaluation values ​​of load acquisition quality within a pre-set time interval. These evaluation values ​​include the measured load capacity value, the mean load capacity measurement, and the standard deviation of the load capacity measurement. Combine the relevant evaluation values ​​of load capacity with the load acquisition reference data obtained from a pre-set database to obtain the cylinder load acquisition quality index. The load acquisition reference data includes load acquisition reference weights and load acquisition reference values. The load acquisition reference weights include acquisition error evaluation weights and acquisition noise evaluation weights. The load acquisition reference values ​​include the load capacity reference value, the minimum load acquisition reference error, and the minimum load acquisition reference signal-to-noise ratio.

[0038] The method for obtaining the hydraulic cylinder load-bearing mass index is as follows:

[0039]

[0040] In the formula, Yc represents the hydraulic cylinder load-bearing acquisition quality index, δ1 represents the acquisition error assessment weight, δ2 represents the acquisition noise assessment weight, n represents the number of the preset time within the preset time interval, n = 1, 2, ..., N, N represents the total number of preset time points within the preset time interval, m represents the category number of the load-bearing capacity monitoring data, m = 1, 2, ..., M, M represents the total number of load-bearing capacity monitoring data categories, Q m,n Q represents the load-bearing capacity measurement value of the m-th load-bearing capacity monitoring data category at the n-th preset time within a preset time interval. m W represents the reference value for the carrying capacity quality of the m-th carrying capacity monitoring data category. min The minimum load-bearing acquisition reference error, μ Qm σ represents the mean value of the carrying capacity data measurement for the m-th carrying capacity monitoring data category. Qm ΔS represents the standard deviation of the load-bearing capacity measurement for the m-th load-bearing capacity monitoring data category. min This represents the minimum reference signal-to-noise ratio.

[0041] In this embodiment, the load-bearing quality measurement value is the measurement value of the load-bearing capacity monitoring data, and the load-bearing data measurement mean is the measurement mean of the corresponding category of the load-bearing capacity monitoring data. The load-bearing quality measurement mean is obtained through the statistical toolbox in MATLAB (such as mean(data)), and the load-bearing quality measurement standard deviation is obtained through the statistical toolbox in MATLAB (such as std(data)).

[0042] The minimum load-bearing capacity acquisition reference error is represented by the minimum difference between the collected historical load-bearing capacity measurement value and the load-bearing capacity reference value. The minimum load-bearing capacity acquisition reference signal-to-noise ratio is represented by the minimum signal-to-noise ratio of the collected historical load-bearing capacity monitoring data.

[0043] The acquisition error assessment weight reflects the degree of influence of the load capacity monitoring data acquisition error on the cylinder load acquisition quality index. It is a preset value in the preset database. When using it, the weight corresponding to the preset acquisition error assessment can be directly obtained from the preset database. The correspondence can be a pre-set mapping relationship. For example, the load capacity monitoring data acquisition error and the weight corresponding to the preset acquisition error assessment in the preset database form a mapping set. Input the real-time load capacity monitoring data acquisition error into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0044] In this example, the sum of the acquisition error assessment weight and the acquisition noise assessment weight is 1. The acquisition noise assessment weight reflects the degree of influence of the acquisition noise of the load capacity monitoring data on the cylinder load acquisition quality index.

[0045] The hydraulic cylinder load-bearing capacity acquisition quality index is used to quantitatively evaluate the acquisition quality of excavator hydraulic cylinder load-bearing capacity monitoring data. Specifically, the hydraulic cylinder load-bearing capacity acquisition quality index includes multiple parameters, and these parameters are interconnected and not independent. For example, as the deviation between the measured load-bearing capacity value and the mean load-bearing data measurement increases, the standard deviation of the load-bearing data measurement also increases, indicating increased noise in the load-bearing capacity monitoring data, and consequently, an increase in the hydraulic cylinder load-bearing capacity acquisition quality index. The standard deviation of the load-bearing data measurement measures noise intensity; as the ratio of the mean load-bearing data measurement to the standard deviation increases, the signal-to-noise ratio increases, meaning better data quality leads to increased accuracy of the load-bearing capacity measurement, which in turn increases the hydraulic cylinder load-bearing capacity acquisition quality index. Therefore, by considering the correlation and mutual influence among various factors and conducting a comprehensive analysis, the hydraulic cylinder load-bearing capacity acquisition quality index is obtained, enabling a numerical evaluation of the excavator hydraulic cylinder load-bearing capacity monitoring data acquisition quality. This numerical evaluation allows for a more accurate assessment of the excavator hydraulic cylinder load-bearing capacity monitoring data acquisition quality.

[0046] Furthermore, the specific steps for determining whether to perform excavator cylinder load monitoring optimization based on the cylinder load acquisition quality index are as follows: The cylinder load acquisition quality index is compared with a preset load acquisition quality threshold range obtained from a preset database; if the cylinder load acquisition quality index is within the preset load acquisition quality threshold range, excavator cylinder load monitoring optimization is not performed, and the load capacity monitoring data and cylinder load acquisition quality index are encrypted, and the encrypted data is uploaded to cloud storage; if the cylinder load acquisition quality index exceeds the preset load acquisition quality threshold range, excavator cylinder load monitoring optimization is performed, and the effect of the excavator cylinder load monitoring optimization is evaluated to obtain the cylinder load monitoring optimization index.

[0047] It is important to understand that, because the load-bearing capacity monitoring data involves sensitive information and important parameters, it needs to be encrypted. Specifically, the load-bearing capacity monitoring data and the hydraulic cylinder load acquisition quality index are encrypted using the asymmetric encryption algorithm RSA (Rivest–Shamir–Adleman). The preset load acquisition quality threshold range is set by professionals according to industry standards; for example, the preset load acquisition quality threshold range is set to 0.59 to 1. By combining the preset load acquisition quality threshold range for judgment and performing excavator hydraulic cylinder load monitoring optimization, a more accurate judgment of the excavator hydraulic cylinder load-bearing capacity monitoring data acquisition quality is achieved.

[0048] It should be added that the specific steps for excavator cylinder load monitoring optimization are as follows: A1, perform sensor calibration optimization on the excavator cylinder, and determine whether the monitored cylinder load acquisition quality index is within the preset load acquisition quality threshold range. If yes, stop the excavator cylinder load monitoring optimization; otherwise, proceed to A2; A2, perform data acquisition optimization on the excavator cylinder, and determine whether the monitored cylinder load acquisition quality index is within the preset load acquisition quality threshold range. If yes, stop the excavator cylinder load monitoring optimization; otherwise, proceed to A3; A3, perform energy efficiency optimization on the excavator cylinder monitoring, and simultaneously evaluate the effect of the excavator cylinder load monitoring optimization to obtain the cylinder load monitoring optimization index.

[0049] Specifically, sensor calibration optimization is achieved through Kalman filtering and recursive least squares algorithms, for example, by recursively updating the covariance matrix; data acquisition optimization is achieved through data compression algorithms such as Huffman coding and wavelet transform-based compression methods, and data fusion processing can also be performed using weighted averaging; monitoring energy efficiency optimization is achieved through optimization algorithms such as genetic algorithms and particle swarm optimization, for example, by updating the particle velocity and position based on the current position and velocity of the particles, as well as the global and local optima; and the reliability of excavator cylinder load monitoring is improved through optimization of excavator cylinder load monitoring.

[0050] Furthermore, the specific steps for evaluating the effect of excavator cylinder load monitoring optimization to obtain the cylinder load monitoring optimization index are as follows: Obtain initial load monitoring data before performing excavator cylinder load monitoring optimization, including the initial cylinder load acquisition quality index, initial power consumption, and initial sampling frequency; obtain optimized load monitoring data after performing excavator cylinder load monitoring optimization, including the optimized cylinder load acquisition quality index, optimized power consumption, and optimized sampling frequency; and obtain the cylinder load monitoring optimization index by combining the initial load monitoring data, the optimized load monitoring data, and the optimized acquisition and power consumption evaluation weights obtained from a preset database.

[0051] The method for obtaining the hydraulic cylinder load monitoring optimization index is as follows:

[0052]

[0053] In the formula, Yj represents the cylinder load monitoring optimization index, γ1 represents the monitoring and acquisition optimization evaluation weight, and γ2 represents the monitoring power consumption optimization evaluation weight. Yc indicates the quality index of the hydraulic cylinder load being monitored and optimized. ‘ This indicates the initial hydraulic cylinder load quality index, G. c Indicates the initial power consumption being monitored, f after This indicates the optimal sampling frequency for monitoring, f. before G represents the initial sampling frequency for monitoring. h This indicates that power consumption is being monitored and optimized.

[0054] In this embodiment, the monitoring initial cylinder load acquisition quality index refers to the cylinder load acquisition quality index before the excavator cylinder load monitoring optimization is performed, the monitoring initial power consumption refers to the power consumption before the excavator cylinder load monitoring optimization is performed, and the monitoring initial sampling frequency refers to the sampling frequency before the excavator cylinder load monitoring optimization is performed.

[0055] The monitored and optimized cylinder load acquisition quality index refers to the cylinder load acquisition quality index after performing excavator cylinder load monitoring and optimization. The monitored and optimized power consumption refers to the power consumption after performing excavator cylinder load monitoring and optimization. The monitored and optimized sampling frequency refers to the sampling frequency after performing excavator cylinder load monitoring and optimization.

[0056] The monitoring and acquisition optimization evaluation weight reflects the degree of influence of the load capacity monitoring data acquisition quality optimization on the cylinder load monitoring optimization index. When using it, the weight corresponding to the preset monitoring and acquisition optimization evaluation can be directly obtained from the preset database. The correspondence can be a pre-set mapping relationship. For example, the load capacity monitoring data acquisition quality optimization and the weight corresponding to the preset monitoring and acquisition optimization evaluation in the preset database form a mapping set. Input the real-time load capacity monitoring data acquisition quality optimization into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0057] In this example, the sum of the monitoring acquisition optimization evaluation weight and the monitoring power consumption optimization evaluation weight is 1. The monitoring power consumption optimization evaluation weight reflects the degree of influence of the excavator cylinder power consumption optimization on the cylinder load monitoring optimization index.

[0058] like Figure 2The diagram shows the variation of the cylinder load monitoring optimization index provided in this embodiment of the application. The settings are: monitoring acquisition optimization evaluation weight is 0.5, monitoring power consumption optimization evaluation weight is 0.5, initial cylinder load acquisition quality index is 0.5, initial power consumption is 30W, monitoring optimization sampling frequency is 5Hz, and initial sampling frequency is 3Hz. Specifically, (a) shows the variation of the cylinder load monitoring optimization index with the monitoring optimization cylinder load acquisition quality index. Specifically, the monitoring optimization power consumption is set to 10W, and the cylinder load monitoring optimization index increases accordingly as the monitoring optimization cylinder load acquisition quality index increases. (b) shows the variation of the cylinder load monitoring optimization index with the monitoring optimization power consumption. Specifically, the monitoring optimization cylinder load acquisition quality index is set to 1, and the cylinder load monitoring optimization index decreases accordingly as the monitoring optimization power consumption decreases.

[0059] The hydraulic cylinder load monitoring optimization index is used to comprehensively quantify the effect of excavator hydraulic cylinder load monitoring optimization. Specifically, the index includes multiple parameters, and these parameters are interconnected and not independent. For example, increasing the monitoring optimization sampling frequency indicates that higher frequencies require more computation and data collection, leading to increased energy consumption and consequently increased monitoring optimization power consumption. Simultaneously, as monitoring optimization power consumption increases, the hydraulic cylinder load monitoring optimization index decreases. Furthermore, increasing the monitoring optimization sampling frequency indicates the provision of more refined monitoring data, meaning the monitoring optimization hydraulic cylinder load acquisition quality index increases accordingly. Therefore, by quantifying the correlation and mutual influence among various factors, a comprehensive analysis yields the hydraulic cylinder load monitoring optimization index, enabling a numerical evaluation of the excavator hydraulic cylinder load monitoring optimization effect. This numerical evaluation is then used to judge the effectiveness of excavator hydraulic cylinder load monitoring optimization, thereby improving the accuracy of the evaluation.

[0060] Furthermore, the specific steps for determining whether to perform an excavator cylinder performance compliance assessment based on the cylinder load monitoring optimization index are as follows: The cylinder load monitoring optimization index is compared with a preset monitoring optimization threshold range obtained from a preset database; if the cylinder load monitoring optimization index is within the preset monitoring optimization threshold range, the excavator cylinder performance compliance assessment is performed, and the cylinder performance compliance index after the assessment is obtained; if the cylinder load monitoring optimization index exceeds the preset monitoring optimization threshold range, the excavator cylinder performance compliance assessment is not performed, and the pre-set personnel are reminded to perform excavator cylinder load monitoring self-repair.

[0061] In this embodiment, a fault diagnosis tool (such as Sensor Diagnostics Software) is used to perform self-repair of the excavator cylinder load monitoring. The preset monitoring optimization threshold range is set by professionals according to industry standards. For example, the preset monitoring optimization threshold range is determined by setting the monitoring optimization cylinder load acquisition quality index range (generally 0.6 to 1), the initial monitoring cylinder load acquisition quality index range (generally 0 to 0.5), the initial monitoring power consumption range (generally 1W to 15W), the monitoring optimization sampling frequency range (generally 20W to 50W), the initial monitoring sampling frequency range (generally 1Hz to 5Hz), and the monitoring optimization power consumption range (generally 5Hz to 20Hz). By combining the preset monitoring optimization threshold range for judgment, a more accurate assessment of the excavator cylinder load monitoring optimization effect is achieved.

[0062] Furthermore, the specific steps for obtaining the hydraulic cylinder performance compliance index after performing the excavator hydraulic cylinder performance compliance assessment are as follows: Obtain the excavator hydraulic cylinder performance compliance assessment data within the preset time interval to be assessed. This data includes the excavator hydraulic cylinder's maximum output force, effective area, maximum speed, maximum leakage, displacement change, output force change, and load change. Combine the excavator hydraulic cylinder performance compliance assessment data with performance compliance reference data obtained from a preset database to obtain the hydraulic cylinder performance compliance index. This reference data includes performance compliance reference values ​​and performance compliance reference weights. The performance compliance reference values ​​include the excavator hydraulic cylinder's reference output power, maximum leakage, and maximum response time. The performance compliance reference weights include efficiency compliance assessment weights, sealing performance assessment weights, response compliance assessment weights, and adaptive compliance assessment weights.

[0063] The method for obtaining the hydraulic cylinder performance compliance index is as follows:

[0064]

[0065] In the formula, Yf represents the hydraulic cylinder performance compliance index. This indicates that efficiency is in line with the evaluation weights. Indicates the weighting of sealing performance evaluation. This indicates that the response meets the evaluation weights. The evaluation weights represent adaptive compliance, F represents the maximum output force of the excavator cylinder, A represents the effective area of ​​the excavator cylinder, and v represents the maximum speed of the excavator cylinder. X represents the reference output power of the excavator hydraulic cylinder, and X represents the maximum leakage of the excavator hydraulic cylinder. maxΔx represents the maximum leakage of the reference excavator cylinder, ΔT represents the displacement change of the excavator cylinder, ΔF represents the output force change of the excavator cylinder, and ΔL represents the load change of the excavator cylinder.

[0066] In this embodiment, the preset time interval to be evaluated refers to the preset time interval before the excavator cylinder performance compliance assessment is performed. The maximum output force of the excavator cylinder is obtained by a force sensor deployed on the piston rod of the excavator cylinder, the effective area of ​​the excavator cylinder is obtained by a laser rangefinder, the maximum speed of the excavator cylinder is obtained by a photoelectric sensor deployed on the piston rod of the excavator cylinder, the maximum leakage of the excavator cylinder is obtained by a flow meter deployed at the oil inlet of the excavator cylinder, the displacement change of the excavator cylinder is obtained by a displacement sensor deployed on the piston rod of the excavator cylinder, the output force change of the excavator cylinder is obtained by a pressure sensor deployed on the piston rod of the excavator cylinder, and the load change of the excavator cylinder is obtained by a load sensor deployed on the piston rod of the excavator cylinder.

[0067] The reference output power of the excavator cylinder is represented by summing and averaging the historical excavator cylinder output power data. The maximum leakage of the reference excavator cylinder is represented by the maximum historical excavator cylinder leakage data. The maximum response time of the reference excavator cylinder is represented by the maximum historical excavator cylinder response time data.

[0068] The efficiency compliance assessment weight reflects the degree of influence of the excavator cylinder efficiency compliance on the cylinder performance compliance index. When using it, the weight corresponding to the preset efficiency compliance assessment can be directly obtained from the preset database. The correspondence can be a pre-set mapping relationship. For example, the excavator cylinder efficiency compliance and the weight corresponding to the preset efficiency compliance assessment in the preset database form a mapping set. Input the real-time excavator cylinder efficiency compliance into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0069] The sealing performance evaluation weight reflects the degree of influence of the excavator cylinder sealing performance on the cylinder performance compliance index. When using it, the weight corresponding to the preset sealing performance evaluation can be directly obtained from the preset database. The correspondence can be a pre-set mapping relationship. For example, the excavator cylinder sealing performance and the weight corresponding to the preset sealing performance evaluation in the preset database form a mapping set. The real-time excavator cylinder sealing performance is input into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0070] The response compliance assessment weight reflects the degree of influence of the excavator cylinder response compliance on the cylinder performance compliance index. When using it, the weight corresponding to the preset response compliance assessment can be directly obtained from the preset database. The correspondence can be a pre-set mapping relationship. For example, the excavator cylinder response compliance and the weight corresponding to the preset response compliance assessment in the preset database form a mapping set. Input the real-time excavator cylinder response compliance into the mapping set to obtain the corresponding weight. The mapping relationship can be one-to-one or many-to-one. In this example, the value range is [0, 1].

[0071] In this example, the sum of the efficiency compliance evaluation weight, sealing performance evaluation weight, response compliance evaluation weight, and adaptive compliance evaluation weight is 1. The adaptive compliance evaluation weight describes the degree of influence of the excavator cylinder's adaptive performance on the cylinder performance compliance index.

[0072] Specific assumptions: Efficiency compliance assessment weight is 0.25, sealing performance assessment weight is 0.25, response compliance assessment weight is 0.25, adaptive compliance assessment weight is 0.25, the maximum output force of the excavator cylinder is 5000N, the effective area of ​​the excavator cylinder is 0.05 square meters, the reference output power of the excavator cylinder is 1000W, the maximum leakage of the reference excavator cylinder is 0.2 cubic meters, and the maximum response time of the reference excavator cylinder is 0.5 seconds. The cylinder performance compliance index can be calculated using the above method. The statistical table of changes in the cylinder performance compliance index is shown in Table 1.

[0073] Table 1. Statistical Table of Changes in Hydraulic Cylinder Performance Compliance Index

[0074]

[0075] As shown in the first and second sets of data in Table 1, when the displacement change of the excavator cylinder (0.1 meters) and the maximum speed of the excavator cylinder (0.1 meters / second) are fixed values, the cylinder performance compliance index increases as the maximum leakage of the excavator cylinder decreases. Furthermore, as shown in the third and fourth sets of data, when the maximum leakage of the excavator cylinder (0.093 cubic meters) is fixed, the cylinder performance compliance index also increases as the ratio of the displacement change of the excavator cylinder to the maximum speed of the excavator cylinder decreases.

[0076] The hydraulic cylinder performance compliance index is used to quantitatively evaluate the degree of performance compliance of excavator hydraulic cylinders. Changes in the maximum leakage of the excavator hydraulic cylinder, the displacement change of the excavator hydraulic cylinder, the maximum speed of the excavator hydraulic cylinder, the output force change of the excavator hydraulic cylinder, and the load change of the excavator hydraulic cylinder all directly affect the hydraulic cylinder performance compliance index. Specifically, for example, as the maximum leakage of the excavator hydraulic cylinder decreases, the hydraulic cylinder performance compliance index increases. At the same time, as the ratio of the displacement change of the excavator hydraulic cylinder to the maximum speed of the excavator hydraulic cylinder decreases, the hydraulic cylinder performance compliance index also increases.

[0077] Furthermore, the hydraulic cylinder performance compliance index incorporates multiple parameters, and these parameters are interconnected and not independent. For example, the displacement change of the excavator hydraulic cylinder is affected by the load change. Specifically, as the load change increases, the maximum speed of the excavator hydraulic cylinder decreases, leading to a decrease in the displacement change. Additionally, as the effective area of ​​the excavator hydraulic cylinder increases, the maximum speed decreases. Simultaneously, load changes also alter the output force of the excavator hydraulic cylinder; an increase in load typically requires a greater output force, meaning the output force change increases. Therefore, by considering the correlation and mutual influence among these factors, a comprehensive analysis yields the hydraulic cylinder performance compliance index, enabling a numerical assessment of the excavator hydraulic cylinder performance compliance level. This numerical assessment allows for a more accurate evaluation of the excavator hydraulic cylinder performance compliance level.

[0078] Furthermore, the specific steps for determining whether to perform excavator cylinder load capacity optimization based on the cylinder load acquisition quality index and the cylinder load monitoring optimization index are as follows: M1, determine whether the acquired cylinder load acquisition quality index is within the preset load acquisition quality threshold range. If the cylinder load acquisition quality index exceeds the preset load acquisition quality threshold range, then execute M2; otherwise, do not execute excavator cylinder load capacity optimization. M2, determine whether the acquired cylinder load monitoring optimization index is within the preset monitoring optimization threshold range. If the cylinder load monitoring optimization index is within the preset monitoring optimization threshold range, then execute M3; otherwise, stop excavator cylinder load capacity optimization. M3, determine whether the acquired cylinder performance compliance index is within the preset performance compliance threshold range. If the cylinder performance compliance index is within the preset performance compliance threshold range, then do not execute excavator cylinder load capacity optimization; otherwise, execute excavator cylinder load capacity optimization. Excavator cylinder load capacity optimization includes excavator cylinder load structure optimization and excavator cylinder load environment optimization.

[0079] In this embodiment, fatigue life analysis (e.g., obtaining the damage degree of the excavator cylinder through the mineral method) is used to optimize the load-bearing structure of the excavator cylinder; proportional-integral-derivative control (using a proportional-integral-derivative controller to calculate the temperature deviation and dynamically adjust the cooling or heating power according to the proportional, integral and derivative algorithms) is used to optimize the load-bearing environment of the excavator cylinder.

[0080] The preset performance compliance threshold range is obtained from a preset database. Specifically, the preset performance compliance threshold range is set by professionals according to industry standards. For example, the maximum output force range of the excavator cylinder is set (generally 3000N to 9000N), the effective area range of the excavator cylinder is set (generally 0.02 cubic meters to 1 cubic meter), the maximum speed range of the excavator cylinder is set (generally 0.1 m / s to 0.9 m / s), the maximum leakage range of the excavator cylinder is set (generally 0 cubic meters to 1 cubic meter), the displacement change range of the excavator cylinder is set (generally 0.1 m to 0.5 m), the output force change range of the excavator cylinder is set (generally 500N to 5000N), and the load change range of the excavator cylinder is set (generally 0.1N to 10N). The preset performance compliance threshold range is determined by combining the preset performance compliance threshold range for judgment, so as to achieve a more accurate judgment of the excavator cylinder performance compliance degree.

[0081] like Figure 3 The diagram shows a flowchart of a method for monitoring the load-bearing capacity of an excavator cylinder according to an embodiment of this application. The method includes the following steps: S1, collecting load-bearing capacity monitoring data of a preset excavator cylinder within a preset time interval; S2, evaluating the quality of the collected load-bearing capacity monitoring data of the preset excavator cylinder to obtain a cylinder load-bearing collection quality index, and determining whether to perform excavator cylinder load-bearing monitoring optimization based on the cylinder load-bearing collection quality index. The cylinder load-bearing collection quality index is used to quantitatively evaluate the quality of the collected load-bearing capacity monitoring data of the excavator cylinder; S3, after performing excavator cylinder load-bearing monitoring optimization, evaluating the effect of the optimization to obtain a cylinder load-bearing monitoring optimization index, and determining whether to perform excavator cylinder performance compliance assessment based on the cylinder load-bearing monitoring optimization index. The cylinder load-bearing monitoring optimization index is used to comprehensively quantify the effect of excavator cylinder load-bearing monitoring optimization; S4, obtaining the cylinder performance compliance index after performing the excavator cylinder performance compliance assessment, and determining whether to perform excavator cylinder load-bearing capacity optimization based on the cylinder load-bearing collection quality index and the cylinder load-bearing monitoring optimization index. The cylinder performance compliance index is used to quantitatively evaluate the performance compliance of the excavator cylinder.

[0082] In this embodiment, by collecting load-bearing capacity monitoring data, the quality of load-bearing capacity monitoring data collection and the optimization and performance compliance of excavator cylinder load-bearing monitoring are evaluated. By judging the quality of load-bearing capacity monitoring data collection to determine whether to perform excavator cylinder load-bearing monitoring optimization, and by judging the effect of excavator cylinder load-bearing monitoring optimization to determine whether to perform performance compliance evaluation, the quality of excavator cylinder load-bearing capacity monitoring is improved.

[0083] In summary, this embodiment of the application evaluates the quality of the pre-set excavator cylinder load capacity monitoring data acquisition to determine whether to perform excavator cylinder load capacity monitoring optimization. Then, it evaluates the effect of the excavator cylinder load capacity monitoring optimization to determine whether to perform excavator cylinder performance compliance assessment. Finally, it obtains the cylinder performance compliance index after performing the excavator cylinder performance compliance assessment and determines whether to perform excavator cylinder load capacity optimization. This achieves a quantitative evaluation of the excavator cylinder load capacity monitoring optimization effect and performance compliance, thereby improving the accuracy of excavator cylinder load capacity monitoring and effectively solving the problem of inaccurate excavator cylinder load capacity monitoring in the prior art.

[0084] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0085] This invention is described with reference to flowchart illustrations and / or block diagrams of systems, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0086] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0087] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0088] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0089] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A load-bearing capacity monitoring system for excavator cylinders, characterized in that, include: It includes a monitoring data acquisition module, an acquisition quality assessment module, a monitoring optimization assessment module, and a performance compliance assessment module; The load-bearing monitoring data acquisition module is used to collect load-bearing capacity monitoring data of a preset excavator cylinder within a preset time interval. The data acquisition quality assessment module is used to assess the data acquisition quality of the load capacity monitoring of the preset excavator cylinder to obtain the cylinder load acquisition quality index. Based on the cylinder load acquisition quality index, it determines whether to perform excavator cylinder load monitoring optimization. The cylinder load acquisition quality index is used to quantitatively assess the data acquisition quality of the excavator cylinder load capacity monitoring. The monitoring, optimization, evaluation, and judgment module is used to evaluate the effect of excavator cylinder load monitoring and optimization after performing excavator cylinder load monitoring and optimization to obtain a cylinder load monitoring and optimization index. Based on the cylinder load monitoring and optimization index, it is determined whether to perform excavator cylinder performance compliance assessment. The cylinder load monitoring and optimization index is used to comprehensively quantify the effect of excavator cylinder load monitoring and optimization. The specific steps for evaluating the effectiveness of the excavator cylinder load monitoring optimization to obtain the cylinder load monitoring optimization index are as follows: Obtain the initial load monitoring data before performing excavator cylinder load monitoring optimization. The initial load monitoring data includes the initial cylinder load acquisition quality index, the initial power consumption, and the initial sampling frequency. Obtain load monitoring optimization data after performing excavator cylinder load monitoring optimization, the load monitoring optimization data including the monitoring optimization cylinder load acquisition quality index, monitoring optimization power consumption, and monitoring optimization sampling frequency; The hydraulic cylinder load monitoring optimization index is obtained by combining the initial load monitoring data, the optimized load monitoring data, and the monitoring acquisition optimization evaluation weights and monitoring power consumption optimization evaluation weights obtained from the preset database. The method for obtaining the hydraulic cylinder load monitoring optimization index is as follows: ； In the formula, This indicates the hydraulic cylinder load monitoring optimization index. This indicates the weighting of monitoring, data collection, optimization, and evaluation. This indicates the weighting of the power consumption monitoring and optimization evaluation. This indicates that the monitoring and optimization of the hydraulic cylinder load-bearing quality index is being collected. This indicates the quality index of the initial hydraulic cylinder load during monitoring. Indicates monitoring initial power consumption. This indicates that the monitoring and sampling frequency has been optimized. Indicates the initial sampling frequency for monitoring. Indicates monitoring and optimization of power consumption; The specific steps for determining whether to perform an excavator cylinder performance compliance assessment based on the cylinder load monitoring optimization index are as follows: The cylinder load monitoring optimization index is compared with the preset monitoring optimization threshold range obtained from the preset database; If the cylinder load monitoring optimization index is within the preset monitoring optimization threshold range, then the excavator cylinder performance compliance assessment is performed, and the cylinder performance compliance index after the excavator cylinder performance compliance assessment is obtained. If the cylinder load monitoring optimization index exceeds the preset monitoring optimization threshold range, the excavator cylinder performance compliance assessment will not be performed, and the preset personnel will be reminded to perform excavator cylinder load monitoring self-repair. The performance compliance assessment module is used to obtain the cylinder performance compliance index after the excavator cylinder performance compliance assessment is performed, and to determine whether to perform excavator cylinder load capacity optimization based on the cylinder load acquisition quality index and the cylinder load monitoring optimization index. The cylinder performance compliance index is used to quantitatively assess the performance compliance of the excavator cylinder. The specific steps for determining whether to perform excavator cylinder load capacity optimization based on the cylinder load acquisition quality index and the cylinder load monitoring optimization index are as follows: M1 determines whether the acquired cylinder load quality index is within the preset load quality threshold range. If the cylinder load quality index exceeds the preset load quality threshold range, then execute M2; otherwise, do not perform excavator cylinder load capacity optimization. M2 determines whether the obtained cylinder load monitoring optimization index is within the preset monitoring optimization threshold range. If the cylinder load monitoring optimization index is within the preset monitoring optimization threshold range, then execute M3; otherwise, stop optimizing the excavator cylinder load capacity. M3 determines whether the obtained cylinder performance compliance index is within the preset performance compliance threshold range. If the cylinder performance compliance index is within the preset performance compliance threshold range, the excavator cylinder load capacity optimization is not performed; otherwise, the excavator cylinder load capacity optimization is performed. The optimization of the excavator cylinder load-bearing capacity includes optimization of the excavator cylinder load-bearing structure and optimization of the excavator cylinder load-bearing environment.

2. The load-bearing capacity monitoring system for excavator cylinders as described in claim 1, characterized in that, The specific steps for evaluating the data acquisition quality of the pre-set excavator cylinder load capacity monitoring data to obtain the cylinder load acquisition quality index are as follows: Obtain load-bearing quality-related evaluation values ​​within a preset time interval. The load-bearing quality-related evaluation values ​​include load-bearing quality measurement values, load-bearing quality measurement mean, and load-bearing quality measurement standard deviation. The load-bearing quality-related assessment values ​​are combined with the load-bearing data collection reference data obtained from the preset database to obtain the hydraulic cylinder load-bearing data collection quality index. The bearer acquisition reference data includes bearer acquisition reference weights and bearer acquisition reference values; The reference weights for data acquisition include weights for data acquisition error assessment and weights for data acquisition noise assessment. The load-bearing acquisition reference values ​​include the load-bearing quality reference value, the minimum load-bearing acquisition reference error, and the minimum load-bearing acquisition reference signal-to-noise ratio.

3. The load-bearing capacity monitoring system for excavator cylinders as described in claim 2, characterized in that, The method for obtaining the hydraulic cylinder load-bearing mass index is as follows: ； In the formula, This indicates the hydraulic cylinder's load-bearing capacity index. Indicates the weight of the acquisition error assessment. Indicates the weight of the noise assessment. This indicates the number of a preset time within a preset time interval. , This indicates the total number of preset times within a preset time interval. This indicates the category number of the carrying capacity monitoring data. , This indicates the total number of data categories related to carrying capacity monitoring. This represents the load-bearing capacity measurement value of the m-th load-bearing capacity monitoring data category at the n-th preset time interval. This represents the reference value for the carrying capacity quality of the m-th carrying capacity monitoring data category. This indicates the minimum load-bearing acquisition reference error. This represents the average value of the carrying capacity data measurements for the m-th carrying capacity monitoring data category. This represents the standard deviation of the load-bearing data measurement for the m-th load-bearing capacity monitoring data category. This represents the minimum reference signal-to-noise ratio.

4. The load-bearing capacity monitoring system for excavator cylinders as described in claim 1, characterized in that, The specific steps for determining whether to perform excavator cylinder load monitoring optimization based on the cylinder load acquisition quality index are as follows: The hydraulic cylinder load acquisition quality index is compared with the preset load acquisition quality threshold range obtained from the preset database; If the cylinder load acquisition quality index is within the preset load acquisition quality threshold range, the excavator cylinder load monitoring optimization will not be performed. At the same time, the load capacity monitoring data and the cylinder load acquisition quality index will be encrypted and uploaded to the cloud for storage. If the hydraulic cylinder load acquisition quality index exceeds the preset load acquisition quality threshold range, then the excavator hydraulic cylinder load monitoring optimization is performed, and the effect of the excavator hydraulic cylinder load monitoring optimization is evaluated to obtain the hydraulic cylinder load monitoring optimization index.

5. The load-bearing capacity monitoring system for excavator cylinders as described in claim 4, characterized in that, The specific steps for optimizing the excavator cylinder load monitoring are as follows: A1. Perform sensor calibration and optimization on the excavator cylinder, and determine whether the monitored cylinder load acquisition quality index is within the preset load acquisition quality threshold range. If yes, stop the excavator cylinder load monitoring and optimization; otherwise, proceed to A2. A2, optimize data acquisition for the excavator cylinder, determine whether the monitored cylinder load acquisition quality index is within the preset load acquisition quality threshold range, if yes, stop the excavator cylinder load monitoring optimization, otherwise execute A3; A3 is used to monitor and optimize the energy efficiency of excavator cylinders, and at the same time, the effect of monitoring and optimizing the load of excavator cylinders is evaluated to obtain the cylinder load monitoring optimization index.

6. The load-bearing capacity monitoring system for excavator cylinders as described in claim 1, characterized in that, The specific steps for obtaining the hydraulic cylinder performance compliance index after the excavator hydraulic cylinder performance compliance assessment are as follows: The excavator cylinder performance meets the evaluation data within a preset time interval to be evaluated. The excavator cylinder performance meets the evaluation data, including the excavator cylinder maximum output force, excavator cylinder effective area, excavator cylinder maximum speed, excavator cylinder maximum leakage, excavator cylinder displacement change, excavator cylinder output force change, and excavator cylinder load change. The hydraulic cylinder performance compliance index is obtained by combining the excavator hydraulic cylinder performance compliance evaluation data with the performance compliance reference data obtained from a preset database. The performance compliance reference data includes the performance compliance reference value and the performance compliance reference weight. The performance meets the reference values, including the reference output power of the excavator cylinder, the reference maximum leakage of the excavator cylinder, and the reference maximum response time of the excavator cylinder. The performance compliance reference weights include efficiency compliance assessment weights, sealing performance assessment weights, response compliance assessment weights, and adaptive compliance assessment weights.

7. A method for monitoring the load-bearing capacity of an excavator cylinder, applied to the load-bearing capacity monitoring system for an excavator cylinder as described in any one of claims 1-6, characterized in that, Includes the following steps: S1, collect the load-bearing capacity monitoring data of the preset excavator cylinder within the preset time interval; S2, evaluate the data acquisition quality of the load capacity monitoring of the preset excavator cylinder to obtain the cylinder load acquisition quality index, and determine whether to perform excavator cylinder load monitoring optimization based on the cylinder load acquisition quality index. The cylinder load acquisition quality index is used to quantitatively evaluate the data acquisition quality of the load capacity monitoring of the excavator cylinder. S3. After performing excavator cylinder load monitoring optimization, the effect of excavator cylinder load monitoring optimization is evaluated to obtain cylinder load monitoring optimization index. Based on the cylinder load monitoring optimization index, it is determined whether to perform excavator cylinder performance compliance assessment. The cylinder load monitoring optimization index is used to comprehensively quantify the effect of excavator cylinder load monitoring optimization. S4. Obtain the cylinder performance compliance index after the excavator cylinder performance compliance assessment. Determine whether to perform excavator cylinder load capacity optimization based on the cylinder load acquisition quality index and the cylinder load monitoring optimization index. The cylinder performance compliance index is used to quantitatively assess the excavator cylinder performance compliance.

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