Intelligent state detection and analysis system and method for actuator

Abstract

The invention discloses an actuator state intelligent detection and analysis system and method, relates to the technical field of intelligent detection, is used for improving the loss problem caused by the time delay of working efficiency evaluation actuator state, and comprises the steps of carrying out label identification on a hydraulic actuator, determining the model of the hydraulic actuator, and obtaining different liquid touch parts. Detecting liquid contact surfaces of different liquid contact parts, obtaining pressure values of the liquid contact surfaces of the corresponding parts, calculating diagonal pressure, setting a contact surface range, collecting the center temperature of each liquid contact part according to the contact surface range, and evaluating the damage degree of each liquid contact part by integrating the diagonal pressure and the center temperature and utilizing a superior sequence diagram method. Screening out a detection combination, judging whether the hydraulic actuator is subjected to combined complementary detection or not, collecting the working frequency and the operation sound wave of a liquid contact part in the detection combination, analyzing a complementary score by using a logistic regression algorithm, and determining the overall state of the actuator according to the complementary score.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent detection, and more specifically, the present invention relates to a system and method for intelligent detection and analysis of the state of an actuator. Background Art

[0002] Intelligent detection technology is a technology that uses advanced sensors, data processing, artificial intelligence, and machine learning technologies to monitor, analyze objects, environments, or systems in real time. The application of intelligent monitoring technology to the state monitoring of actuators can improve the efficiency of actuator state detection and reduce losses caused by untimely repair of actuator damage.

[0003] The prior art has the following deficiencies:

[0004] In the past, the detection of actuators was judged by the operating efficiency of the actuators. When the operating efficiency of the actuator was lower than the preset threshold, it was judged that the state of the actuator was poor, without considering the operating state of the internal components of the actuator. When the operating efficiency of the actuator dropped to the preset threshold, some sensitive items had been significantly affected, resulting in a large amount of losses. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method for intelligent detection and analysis of the state of an actuator, which solves the problems raised in the above background art by analyzing the operating state of each liquid-contact component in the hydraulic actuator to evaluate the overall state of the actuator in real time.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A method for intelligent detection and analysis of the state of an actuator, comprising the following steps,

[0008] Step S1: Identify the label of the hydraulic actuator, determine the model of the hydraulic actuator, and import the hydraulic actuator model into the component database to obtain multiple liquid-contact components of the hydraulic actuator;

[0009] Step S2: Detect the liquid contact surface of different liquid-contact components, obtain the pressure value of the liquid contact surface and calculate the diagonal pressure, set the contact surface range, collect the central temperature of each liquid-contact component according to the contact surface range, and calculate the damage degree of each liquid-contact component using the priority diagram method based on the diagonal pressure and the central temperature;

[0010] Step S3: Screen the detection combinations according to the damage degree of each liquid-contact component and judge whether to perform combined complementary detection on the hydraulic actuator. When entering the combined complementary detection, collect the operating frequency and running sound wave of the liquid-contact components in the detection combination;

[0011] Step S4: Analyze the complementary scores of the working frequency and the operating sound wave of the liquid-contact components in the detection combination using the logistic regression algorithm, and determine the overall state of the actuator according to the complementary scores.

[0012] In a preferred embodiment, in step S1, an RFID tag is installed on the hydraulic actuator, and the data of the hydraulic actuator is read through an RFID reader. The model information of the corresponding hydraulic actuator is stored in different RFID tags, and the hydraulic actuator model is imported into the component database. The liquid-contact components corresponding to the hydraulic actuator model are included in the component database, and different liquid-contact components are marked differently.

[0013] In a preferred embodiment, in step S2, a small pressure sensor is attached to the liquid contact surface of each liquid-contact component to detect the surface pressure value of the liquid contact surface of each liquid-contact component. When the hydraulic actuator starts to work, the liquid contact area of each liquid-contact component and the corresponding contact surface center position are obtained.

[0014] In a preferred embodiment, in step S2, a straight line in any direction is randomly generated at the corresponding contact surface center position, and the two intersection points of the straight line and the edge of the liquid contact area of the liquid-contact component are used as the diagonal points of the corresponding liquid-contact component;

[0015] The small pressure sensor is used to detect the pressure at the diagonal points of each liquid-contact component respectively to obtain the diagonal pressure of the two diagonal points, and the ratio of the two diagonal pressures of the liquid-contact component is used as the diagonal pressure coefficient of the corresponding liquid-contact component.

[0016] In a preferred embodiment, in step S2, the percentile method is used to set the contact surface range, and the obtained liquid contact area of each liquid-contact component is multiplied by a preset circumscribing ratio to calculate the contact surface range: , where is the liquid contact area of each liquid-contact component, is the circumscribing ratio, is the set contact surface range;

[0017] The central temperature of each liquid-contact component is collected according to the set contact surface range, and geometric amplification is performed at the center position of the liquid contact area of each liquid-contact component until the range reaches the set contact surface range; sampling points are randomly set in the area of the contact surface range after geometric amplification to collect the temperature of each liquid-contact component as the central temperature of the corresponding liquid-contact component.

[0018] In a preferred embodiment, in step S2, the central temperature of each liquid-contact component is normalized and marked as a, and the absolute value of the difference between the diagonal pressure coefficient of each liquid-contact component and 1 is marked as b, then the damage risk of each liquid-contact component is scored: , where c is the damage risk of each liquid-contact component and i is the label of each liquid-contact component;

[0019] When calculating the damage degree of each liquid-contact component by using the preference chart method, after sorting each liquid-contact component according to the size of the damage risk of the liquid-contact component, calculate the damage proportion of each liquid-contact component in descending order.

[0020] In a preferred embodiment, in step S3, the weighted sum of the damage proportion of each liquid-contact component and the damage value of each liquid-contact component during the last maintenance is obtained as the overall state coefficient of the hydraulic actuator; when the overall state coefficient of the hydraulic actuator is lower than the preset state threshold, it is determined that the current state of the hydraulic actuator is abnormal;

[0021] When the overall state coefficient of the hydraulic actuator exceeds the preset state threshold, sort the damage proportions of each liquid-contact component from large to small, select the top two liquid-contact components as the detection combination, screen and mark them, and then perform combined complementary detection;

[0022] Detect the displacement of the marked liquid-contact components in the detection combination, count the number of times the marked liquid-contact components leave the initial position within a period of time and use it as the working efficiency of the corresponding marked liquid-contact components, use a sound level meter to detect the running sound waves of the marked liquid-contact components in the detection combination, and access the historical data set to obtain the initial working efficiency and the default running sound waves of the corresponding liquid-contact components of the hydraulic actuator.

[0023] In a preferred embodiment, in step S4, the ratio of the working efficiency of the marked liquid-contact components collected and the initial working efficiency is used as the efficiency drop rate, and the ratio of the running sound waves of the marked liquid-contact components collected and the default running sound waves is used as the sound wave abnormality rate;

[0024] Analyze the state score of the detection combination by using the logistic regression algorithm according to the efficiency drop rate and the sound wave abnormality rate of the marked liquid-contact components in the detection combination. The specific steps are as follows:

[0025] Take the geometric mean of the efficiency drop rate and the sound wave abnormality rate of each marked liquid-contact component in the detection combination as the logistic regression parameter: , where z is the logistic regression parameter, d is the efficiency drop rate of the marked liquid-contact components in the detection combination, s is the sound wave abnormality rate of the corresponding marked liquid-contact components in the detection combination, and construct a logistic regression equation according to the logistic regression parameter: , e is the natural base, L is the logistic regression calculation result of the marked liquid-contact components in the detection combination, and it is used as the state coefficient of the corresponding marked liquid-contact components;

[0026] Sum the status coefficients of all the marked liquid-contact components in the detection combination as the complementary score of the detection combination. Compare the complementary score of the detection combination with the preset detection combination status threshold. When the complementary score of the detection combination exceeds the detection combination status threshold, it is determined that the current hydraulic actuator is in an abnormal state; otherwise, it is determined that the current hydraulic actuator is in a normal state.

[0027] A state intelligent detection and analysis system for an actuator, used to implement the above-mentioned state intelligent detection and analysis method for an actuator, including a data acquisition module, a primary evaluation module, a complementary measurement module, and a final evaluation module;

[0028] The data acquisition module is used to identify the label of the hydraulic actuator and obtain multiple liquid-contact components of the hydraulic actuator, respectively collect their pressure values and temperatures and transmit them to the primary evaluation module. After receiving the marked parts transmitted from the complementary measurement module, it collects the working frequencies and operating sound waves of the liquid-contact components in the detection combination and transmits them to the final evaluation module;

[0029] The primary evaluation module calculates the diagonal pressure according to the pressure values of each liquid-contact component, sets the contact surface range and calculates the central temperature using the temperatures of each liquid-contact component, comprehensively calculates the damage degree of each liquid-contact component based on the diagonal pressure and the central temperature, and transmits the damage degree of each liquid-contact component to the complementary measurement module;

[0030] The complementary measurement module screens the detection combination according to the damage degree of each liquid-contact component in the hydraulic actuator and determines whether to perform combined complementary detection on the hydraulic actuator, marks the liquid-contact parts in the selected detection combination and transmits them to the data acquisition module;

[0031] The final evaluation module comprehensively analyzes the complementary score of the detection combination based on the working frequencies and operating sound waves of the liquid-contact components in the detection combination, and determines the state of the hydraulic actuator according to the complementary score of the detection combination.

[0032] The technical effects and advantages of the state intelligent detection and analysis system and method for an actuator of the present invention:

[0033] The present invention determines the model of a hydraulic actuator by performing label recognition on the hydraulic actuator, obtains different liquid-contact components, detects the liquid contact surfaces of different liquid-contact components, obtains the pressure values of the liquid contact surfaces of the corresponding components and calculates the diagonal pressure. The calculated diagonal pressure is used to analyze the damage of the liquid-contact components caused by pressure imbalance. A contact surface range is set, and the central temperature of each liquid-contact component is collected according to the contact surface range. The damage degree of each liquid-contact component is evaluated by comprehensively considering the diagonal pressure and the central temperature. A detection combination is screened out, and it is determined whether to perform combined complementary detection on the hydraulic actuator. The combined complementary detection is used to accurately analyze the damage degree of the components and perform a more accurate status analysis on the actuator. The operating frequency and operating sound waves of the liquid-contact components within the detection combination are collected and the complementary score of the detection combination is analyzed. The overall status of the actuator is determined according to the complementary score, greatly improving the service life of the actuator and ensuring its high-efficiency operation. Brief Description of the Drawings

[0034] Figure 1 Schematic diagram of a method for intelligent detection and analysis of the status of an actuator according to the present invention.

[0035] Figure 2 Flowchart of a system for intelligent detection and analysis of the status of an actuator according to the present invention. Detailed Embodiments

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] The present invention determines the model of a hydraulic actuator by performing label recognition on the hydraulic actuator, obtains different liquid-contact components, detects the liquid contact surfaces of different liquid-contact components, obtains the pressure values of the liquid contact surfaces of the corresponding components and calculates the diagonal pressure. A contact surface range is set, and the central temperature of each liquid-contact component is collected according to the contact surface range. The damage degree of each liquid-contact component is evaluated by comprehensively considering the diagonal pressure and the central temperature. A detection combination is screened out, and it is determined whether to perform combined complementary detection on the hydraulic actuator. The operating frequency and operating sound waves of the liquid-contact components within the detection combination are collected and the complementary score of the detection combination is analyzed. The overall status of the actuator is determined according to the complementary score, greatly improving the service life of the actuator and ensuring its high-efficiency operation.

[0038] Embodiment 1, a method for intelligent detection and analysis of the status of an actuator, as Figure 1 shown, includes the following steps:

[0039] Step S1: Identify the label of the hydraulic actuator, determine the model of the hydraulic actuator, and import the hydraulic actuator model into the component database to obtain multiple fluid-contact components of the hydraulic actuator;

[0040] Step S2: Detect the liquid contact surfaces of different fluid-contact components, obtain the pressure values of the liquid contact surfaces and calculate the diagonal pressure, set the contact surface range, collect the central temperature of each fluid-contact component according to the contact surface range, and calculate the damage degree of each fluid-contact component using the priority diagram method based on the diagonal pressure and the central temperature;

[0041] Step S3: Screen the detection combinations according to the damage degree of each fluid-contact component and determine whether to perform combined complementary detection on the hydraulic actuator. When entering the combined complementary detection, collect the operating frequencies and running sound waves of the fluid-contact components within the detection combination;

[0042] Step S4: Analyze the complementary scores of the operating frequencies and running sound waves of the fluid-contact components within the detection combination using the logistic regression algorithm, and determine the overall state of the actuator according to the complementary scores.

[0043] The specific implementation is as follows:

[0044] In step S1, install an RFID tag on the hydraulic actuator, read the data of the hydraulic actuator through an RFID reader / writer. Different RFID tags store the model information of the corresponding hydraulic actuator. Import the hydraulic actuator model into the component database. The component database contains fluid-contact components corresponding to the hydraulic actuator model: hydraulic cylinders, hydraulic pumps, hydraulic valves, and filters, etc. Mark different fluid-contact components differently.

[0045] It should be noted that RFID is radio frequency identification technology, which is a type of automatic identification technology. Information about the corresponding item can be stored in the RFID tag and entered or read through an RFID reader. In this example, it is used to identify the label of the hydraulic actuator; the component database is an information system that centrally stores and manages information about relevant mechanical, electronic, and other types of components. The fluid-contact components inside the hydraulic actuator of the corresponding model can be obtained through the component database; in this example, hydraulic cylinders, hydraulic pumps, hydraulic valves, and filters are used as examples of the fluid-contact components of the hydraulic actuator. In fact, the types of fluid-contact components are not limited to those listed in this example.

[0046] In step S2, attach a small pressure sensor to the surface of the liquid contact surface of each fluid-contact component to detect the surface pressure value of the liquid contact surface of each fluid-contact component. When the hydraulic actuator starts to work, obtain the liquid contact surface area of each fluid-contact component and the corresponding center position of the contact surface. Randomly generate a straight line in any direction with the corresponding contact surface center. Take the two intersection points of the straight line and the edge of the liquid contact surface area of the fluid-contact component as the diagonal points of the corresponding fluid-contact component;

[0047] Use small pressure sensors to detect the pressure at the diagonal points of each liquid-contact component respectively to obtain the diagonal pressures of the two diagonal points, and use the ratio of the two diagonal pressures of the liquid-contact component as the diagonal pressure coefficient of the corresponding liquid-contact component.

[0048] It should be explained that the closer the diagonal pressure coefficient is to 1, it indicates that the pressures borne by the two diagonal points of the corresponding liquid-contact component are more similar, and it is not easy to lose pressure and is not easy to be damaged; the small pressure sensor is a device for measuring the pressure of liquid or gas, and is used in this example to detect the liquid pressure in the hydraulic actuator.

[0049] Use the percentile method to set the contact surface range, and multiply the liquid contact surface area of each liquid-contact component obtained by a preset circumscribing ratio to calculate the contact surface range: , where is the liquid contact area of each liquid-contact component, is the circumscribing ratio, is the set contact surface range.

[0050] Collect the central temperature of each liquid-contact component according to the set contact surface range, and geometrically expand from the central position of the liquid contact surface area of each liquid-contact component until the range reaches the set contact surface range. Randomly set collection points in the area of the contact surface range after geometric expansion to collect the temperature of each liquid-contact component as the central temperature of the corresponding liquid-contact component;

[0051] Normalize the central temperature of each liquid-contact component and mark it as a, and take the absolute value of the difference between the diagonal pressure coefficient of each liquid-contact component and 1 and mark it as b, then score the damage risk of each liquid-contact component: , where c is the damage risk of each liquid-contact component and i is the label of each liquid-contact component.

[0052] According to the damage risk of each liquid-contact component, use the preference ranking organization method for enrichment evaluation (PROMETHEE) to calculate the damage proportion of each liquid-contact component as shown in the following table:

[0053]

[0054] It should be noted that in the above table, components A, B, C, and D correspond to the hydraulic cylinder, hydraulic pump, hydraulic valve, and filter in this example respectively. After sorting each liquid-contact component according to the size of the damage risk of the liquid-contact component, they are respectively corresponding to components A, B, C, and D in descending order.

[0055] In step S3, sum the damage proportions of each liquid-contact component and the damage values of each liquid-contact component in the previous maintenance with weights to obtain the overall state coefficient of the hydraulic actuator; when the overall state coefficient of the hydraulic actuator is lower than the preset state threshold, it is determined that the current state of the hydraulic actuator is abnormal;

[0056] When the overall state coefficient of the hydraulic actuator exceeds the preset state threshold, the damage ratios of each liquid-contact component are sorted from largest to smallest, and the top two liquid-contact components in the sorting are selected as a detection combination. After screening and marking, a combined complementary detection is carried out;

[0057] Using an embedded controller, the displacement of the marked liquid-contact components in the detection combination is detected. The number of times the marked liquid-contact components leave the initial position is counted within a period of time and used as the working efficiency of the corresponding marked liquid-contact components. A sound level meter is used to detect the operating sound waves of the marked liquid-contact components in the detection combination, and the historical data set is accessed to obtain the initial working efficiency and the default operating sound waves of the corresponding liquid-contact components of the hydraulic actuator.

[0058] It should be noted that an embedded controller is a computer system designed to control specific functions or devices. In this example, it is used to collect the number of times the marked liquid-contact components leave the initial position. A sound level meter is an instrument for measuring the sound pressure level, which calculates the intensity value according to the sound intensity and displays it. In this example, it is used to obtain the operating sound waves of the marked liquid-contact components in the detection combination; the historical database is a system for storing, managing, and querying historical data, which records the initial working efficiency and the default operating sound waves of different liquid-contact components of different models of hydraulic actuators under normal working conditions. The greater the wear of the internal liquid-contact components of the hydraulic actuator, the greater the operating sound waves emitted by the corresponding components.

[0059] In step S4, the ratio of the working efficiency of the marked liquid-contact components collected to the initial working efficiency is used as the efficiency drop rate, and the ratio of the operating sound waves of the marked liquid-contact components collected to the default operating sound waves is used as the sound wave anomaly rate;

[0060] According to the efficiency drop rate and the sound wave anomaly rate of the marked liquid-contact components in the detection combination, the state score of the detection combination is analyzed using a logistic regression algorithm. The specific steps are as follows:

[0061] The geometric mean of the efficiency drop rate and the sound wave anomaly rate of each marked liquid-contact component in the detection combination is taken as the logistic regression parameter: , where z is the logistic regression parameter, d is the efficiency drop rate of the marked liquid-contact components in the detection combination, s is the sound wave anomaly rate of the corresponding marked liquid-contact components in the detection combination. A logistic regression equation is constructed according to the logistic regression parameter: , e is the natural base, L is the logistic regression calculation result of the marked liquid-contact components in the detection combination, and it is used as the state coefficient of the corresponding marked liquid-contact components;

[0062] Sum the status coefficients of all the marked liquid-contact components in the detection combination as the complementary score of the detection combination, and compare the complementary score of the detection combination with a preset detection combination status threshold. When the complementary score of the detection combination exceeds the detection combination status threshold, it is determined that the current hydraulic actuator is in an abnormal state; when the complementary score of the detection combination is lower than the detection combination status threshold, it is determined that the current hydraulic actuator is in a normal state.

[0063] Embodiment 2, an intelligent detection and analysis system for the status of an actuator, as Figure 2 shown, includes a data acquisition module, a primary evaluation module, a complementary measurement module, and a final evaluation module;

[0064] The data acquisition module is used to identify the label of the hydraulic actuator and obtain multiple liquid-contact components of the hydraulic actuator, respectively collect their pressure values and temperatures and transmit them to the primary evaluation module. After receiving the marked parts transmitted from the complementary measurement module, it collects the working frequency and running sound waves of the liquid-contact components in the detection combination and transmits them to the final evaluation module;

[0065] The primary evaluation module calculates the diagonal pressure according to the pressure values of each liquid-contact component, sets the contact surface range and calculates the central temperature using the temperatures of each liquid-contact component, comprehensively calculates the damage degree of each liquid-contact component, and transmits the damage degree of each liquid-contact component to the complementary measurement module;

[0066] The complementary measurement module screens the detection combination according to the damage degree of each liquid-contact component in the hydraulic actuator and determines whether to perform combined complementary detection on the hydraulic actuator, marks the liquid-contact parts in the selected detection combination and transmits them to the data acquisition module;

[0067] The final evaluation module comprehensively analyzes the complementary score of the detection combination based on the working frequency and running sound waves of the liquid-contact components in the detection combination, and determines the status of the hydraulic actuator according to the complementary score of the detection combination.

[0068] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0069] Those of ordinary skill in the art can realize that the modules and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application of the technical solution and the invention constraints. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0070] In addition, in each embodiment of the present application, each functional module may be integrated into one processing module, may exist separately as individual physical modules, or two or more modules may be integrated into one module.

[0071] As mentioned above, the above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0072] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for intelligent detection and analysis of the state of an actuator, characterized in that: The following steps are included: Step S1: Identify the label of the hydraulic actuator, determine the model of the hydraulic actuator, and import the model of the hydraulic actuator into a component database to obtain multiple liquid-contacting components of the hydraulic actuator; Step S2: Detect the liquid contact surfaces of different liquid-contacting components, obtain the pressure value of the liquid contact surface and calculate the diagonal pressure, set the contact surface range, collect the center temperature of each liquid-contacting component according to the contact surface range, and use the priority diagram method to calculate the damage degree of each liquid-contacting component based on the diagonal pressure and the center temperature; Step S3: screening the detection combination according to the damage degree of each liquid-contacting component and determining whether to perform a combined complementary detection on the hydraulic actuator. When entering the combined complementary detection, collecting the operating frequency and operating sound wave of the liquid-contacting components in the detection combination; Step S4: Analyze the complementary scores of the working frequency of the liquid-contacting parts in the detection combination and the operating sound waves using a logistic regression algorithm, and determine the overall state of the actuator based on the complementary scores.

2. The method for intelligent detection and analysis of the state of an actuator according to claim 1, characterized in that: In step S1, an RFID tag is installed on the hydraulic actuator, and the data of the hydraulic actuator is read through an RFID reader / writer. The model information of the corresponding hydraulic actuator is stored in different RFID tags, and the hydraulic actuator model is imported into a component database. The component database contains liquid-contacting components corresponding to the hydraulic actuator model, and different liquid-contacting components are marked differently.

3. The method for intelligent detection and analysis of the state of an actuator according to claim 1, characterized in that: In step S2, a small pressure sensor is attached to the liquid contact surface of each liquid-contacting component to detect the surface pressure value of the liquid contact surface of each liquid-contacting component. When the hydraulic actuator starts working, the liquid contact surface area of ​​each liquid-contacting component and the corresponding contact surface center position are obtained.

4. The method for intelligent detection and analysis of the state of an actuator according to claim 3, characterized in that: In step S2, a straight line in any direction is randomly generated at the center position of the corresponding contact surface, and two intersection points of the straight line and the edge of the liquid contact surface area of ​​the liquid contact component are used as diagonal points of the corresponding liquid contact component; A small pressure sensor is used to perform pressure detection at the diagonal points of each liquid-contacting component to obtain the diagonal pressures of the two diagonal points, and the ratio of the two diagonal pressures of the liquid-contacting component is used as the diagonal pressure coefficient of the corresponding liquid-contacting component.

5. The method for intelligent detection and analysis of the state of an actuator according to claim 3, characterized in that: In step S2, the contact surface range is set using the percentile method, and the contact surface range is calculated by multiplying the obtained liquid contact surface area of ​​each liquid-contacting component by a preset demarcation ratio: ,in is the liquid contact area of ​​each liquid-contacting component, To define the ratio, is the contact surface range after setting; The center temperature of each liquid-contacting component is collected according to the set contact surface range, and the center position of the liquid contact surface area of ​​each liquid-contacting component is geometrically expanded until the range reaches the set contact surface range; collection points are randomly set in the contact surface range area after geometric expansion to collect the temperature of each liquid-contacting component as the center temperature of the corresponding liquid-contacting component.

6. The method for intelligent detection and analysis of the state of an actuator according to claim 5, characterized in that: In step S2, the center temperature of each liquid-contacting component is normalized and marked as a, and the absolute value of the diagonal pressure coefficient of each liquid-contacting component is marked as b after the difference between 1. Then, the damage risk of each liquid-contacting component is scored: , where c is the damage risk of each liquid-contacting component, and i is the number of each liquid-contacting component; When calculating the damage degree of each liquid-contacting component using the priority diagram method, after sorting each liquid-contacting component according to the damage risk of the liquid-contacting component, the damage proportion of each liquid-contacting component is calculated in order from large to small.

7. The method for intelligent detection and analysis of the state of an actuator according to claim 6, characterized in that: In step S3, the damage proportion of each liquid-contacting component and the damage value of each liquid-contacting component in the last maintenance are weighted and summed to obtain the overall state coefficient of the hydraulic actuator; when the overall state coefficient of the hydraulic actuator is lower than the preset state threshold, it is determined that the current state of the hydraulic actuator is abnormal; When the overall state coefficient of the hydraulic actuator exceeds the preset state threshold, the damage proportion of each liquid-contacting component is sorted from large to small, and the liquid-contacting components ranked in the top two are selected as the detection combination for screening and marking, and then combined complementary detection is performed; The displacement of the marked liquid-contacting part in the detection combination is detected, the number of times the marked liquid-contacting part leaves the initial position within a period of time is counted and used as the working efficiency of the corresponding marked liquid-contacting part, the operating sound wave of the marked liquid-contacting part in the detection combination is detected using a sound level meter, and the historical data set is accessed to obtain the initial working efficiency and default operating sound wave of the corresponding liquid-contacting part of the hydraulic actuator.

8. The method for intelligent detection and analysis of the state of an actuator according to claim 7, characterized in that: In step S4, the ratio of the collected working efficiency of the marked liquid-contacting component to the initial working efficiency is used as the efficiency drop rate, and the ratio of the collected running sound wave of the marked liquid-contacting component to the default running sound wave is used as the sound wave abnormality rate; The status score of the detection combination is analyzed using a logistic regression algorithm based on the efficiency drop rate of the marked liquid-contacting parts in the detection combination and the acoustic wave abnormality rate. The specific steps are as follows: The geometric mean of the efficiency drop rate and the acoustic wave abnormality rate of each marked liquid-contacting component in the detection combination is taken as the logistic regression parameter: , where z is the logistic regression parameter, d is the efficiency drop rate of the marked liquid-contacting parts in the detection combination, and s is the acoustic wave abnormality rate of the corresponding marked liquid-contacting parts in the detection combination. The logistic regression equation is constructed according to the logistic regression parameters: , e is the natural base, L is the result of the logistic regression calculation of the marked liquid-contacting component in the detection combination, which is used as the state coefficient of the corresponding marked liquid-contacting component; The state coefficients of all marked liquid-contacting components in the detection combination are summed up as the complementary score of the detection combination, and the complementary score of the detection combination is compared with the preset detection combination state threshold. When the complementary score of the detection combination exceeds the detection combination state threshold, the current hydraulic actuator state is judged to be abnormal; otherwise, the current hydraulic actuator state is judged to be normal.

9. An intelligent detection and analysis system for the state of an actuator, based on an intelligent detection and analysis method for the state of an actuator according to any one of claims 1 to 8, characterized in that: It includes a data collection module, a primary assessment module, a complementary determination module and a final assessment module; The data acquisition module is used to identify the label of the hydraulic actuator and obtain multiple liquid-contacting parts of the hydraulic actuator, collect their pressure values ​​and temperatures respectively and transmit them to the initial evaluation module. After receiving the marked parts transmitted by the complementary measurement module, the data acquisition module collects the working frequency of the liquid-contacting parts in the detection combination and the operating sound waves and transmits them to the final evaluation module. The initial assessment module calculates the diagonal pressure according to the pressure value of each liquid-contacting component, sets the contact surface range and calculates the central temperature using the temperature of each liquid-contacting component, calculates the damage degree of each liquid-contacting component by combining the diagonal pressure and the central temperature, and transmits the damage degree of each liquid-contacting component to the complementary determination module; The complementary determination module selects the detection combination according to the damage degree of each liquid-contacting component in the hydraulic actuator and determines whether to perform a combined complementary detection on the hydraulic actuator, and marks the liquid-contacting parts in the selected detection combination and transmits them to the data acquisition module; The final assessment module comprehensively detects the operating frequency of the liquid-contacting parts in the combination and the complementary score of the running acoustic wave analysis detection combination, and determines the state of the hydraulic actuator based on the complementary score of the detection combination.

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