Intelligent diagnosis method and system for hydraulic system leakage fault

Abstract

The present invention relates to the technical field of hydraulic systems, and in particular to an intelligent diagnosis method and system for hydraulic system leakage faults, comprising: a preparation layer and an application layer; the preparation layer comprises: a construction module, used to construct a hydraulic system structural model; a capture module, used to receive the hydraulic system structural model constructed in the construction module, and capture key monitoring points of the hydraulic system leakage fault on the hydraulic system structural model; the present invention constructs a hydraulic system structural model, sets the deployment position of monitoring equipment on the hydraulic system structural model, and captures key images of hydraulic system leakage fault monitoring through the deployed monitoring equipment, thereby providing machine vision-based hydraulic fault monitoring and diagnosis for the hydraulic system based on image analysis, ensuring that the hydraulic system leakage fault problem is no longer limited to the diagnosis in the way that sensors sense hydraulic pressure, so that the operation of the hydraulic system is more securely guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of hydraulic systems, and in particular to an intelligent diagnosis method and system for hydraulic system leakage faults. Background Art

[0002] Hydraulic system leakage is one of the common problems, mainly manifested as hydraulic oil leakage from the joints, seals and other parts of the system. This will not only cause the hydraulic system pressure to drop and reduce working efficiency, but may also pollute the environment. The reasons include aging, damage, loose connections of seals, etc., which require timely maintenance to ensure the normal operation of the system.

[0003] The invention patent with application number 202311697833.3 discloses a hydraulic support leakage fault diagnosis method based on machine learning, which is characterized by including: obtaining the pressure data of each support of the comprehensive mining working face, and plotting the pressure data of each support into a pressure curve to obtain the pressure curve of each support; based on the leakage characteristics of the support, marking the pressure curve of each support to obtain a sample set; extracting the corresponding time domain features and statistical features from the sample set; performing model training based on the sample set after feature extraction to obtain a hydraulic support leakage fault diagnosis model: and performing hydraulic support leakage fault diagnosis based on the hydraulic support leakage fault diagnosis model.

[0004] The system aims to solve the following shortcomings of the existing diagnostic methods: 1. The existing methods rely on the pressure data collected by the column pressure sensor. When the sensor fails, it will cause data abnormality or data loss. At this time, normal pressure data cannot be obtained, and the stability of the support leakage fault diagnosis algorithm is low; 2. In some cases, the data collected by the pressure sensor will produce a certain degree of jump, resulting in the pressure curve showing an overall downward trend but occasionally rising, so the accuracy of the support leakage fault diagnosis algorithm is low; 3. The existing methods require parameter configuration, and the conditions of each comprehensive mining working face are different. Therefore, the support leakage fault diagnosis algorithm requires manual testing to determine the parameters, resulting in one policy for each face, a lot of manpower and time consumption, and low generalization of the algorithm.

[0005] However, the current hydraulic system leakage faults mostly rely on sensors to sense the hydraulic pressure to achieve leakage fault judgment. This method has a single judgment condition and the relevant technology has not been innovated for a long time.

[0006] Therefore, we proposed an intelligent diagnosis method and system for hydraulic system leakage faults. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides a method and system for intelligent diagnosis of hydraulic system leakage faults, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] In a first aspect, a hydraulic system leakage fault intelligent diagnosis system includes: a preparation layer and an application layer;

[0010] The preparation layer includes:

[0011] A construction module is used to construct a hydraulic system structure model; a capture module is used to receive the hydraulic system structure model constructed in the construction module and capture key monitoring points of hydraulic system leakage faults on the hydraulic system structure model; a picking module is used to traverse the key monitoring points of hydraulic system leakage faults captured in the capture module and pick up key monitoring points from the key monitoring points of hydraulic system leakage faults captured by the capture module as monitoring equipment deployment points;

[0012] The application layer includes:

[0013] The camera module is used to collect image data of key monitoring points; the extraction module is used to receive the image data of key monitoring points collected by the camera module and extract the contour image of the image data of key monitoring points; the judgment module is used to obtain the contour image of the image data of key monitoring points extracted by the extraction module and judge whether there is a leakage fault in the hydraulic system based on the difference of the contour image of the image data of key monitoring points.

[0014] Furthermore, the building module is provided with submodules at the lower level, including:

[0015] Upload unit, used to upload structural parameters of the hydraulic system;

[0016] A control unit, used to monitor the running status of the building module, and control the uploading unit to run continuously based on the monitoring result of the running status of the building module;

[0017] Among them, the hydraulic system structural parameters uploaded by the uploading unit are based on the parts that constitute the hydraulic system, so that the hydraulic system structural parameters uploaded by the uploading unit each time are the structural parameters of a group of parts on the hydraulic system. After the uploading unit uploads a group of part structural parameters each time, the control unit controls the part structural parameters completed in the uploading unit to be sent to the construction module, and the construction module runs to construct a part model corresponding to the part structural parameters in three-dimensional space based on the part structural parameters.

[0018] Furthermore, the structural parameters of the hydraulic system are a collection of structural parameters of the parts constituting the hydraulic system, and the structural parameters of the parts constituting the hydraulic system are three-dimensional coordinates converted in three-dimensional space based on the size of the parts;

[0019] During the operation phase, the control unit monitors the operation status of the building module in real time. After monitoring that the building module has completed the construction of the part model, the uploading unit is controlled to run again until the uploading unit no longer uploads the hydraulic system structure parameters.

[0020] Among them, at least three groups of structural parameters of the hydraulic system structural parameters uploaded by the uploading unit in two consecutive operations are the same structural parameters.

[0021] Furthermore, the capture module is subject to the following when capturing the key monitoring points of the hydraulic system leakage fault on the hydraulic system structure model:

[0022] ;

[0023] Where: is the judgment value of the i-th point on the surface of the hydraulic system structure model; , is the judgment function; is the criticality of the i-th point on the surface of the hydraulic system structural model; is the distance between the height of the i-th point on the surface of the hydraulic system structure model and the vertex of the hydraulic system structure model; is the shortest distance from the i-th point on the surface of the hydraulic system structure model to the space storing liquid in the hydraulic system structure model; The shortest distance from the i-th point on the surface of the hydraulic system structure model to the movable parts on the hydraulic system structure model;

[0024] Among them, the i-th point on the surface of the hydraulic system structure model is at the negative corner position of the surface of the hydraulic system structure model, and the judgment function The value is 1, otherwise it is 0;

[0025] The coordinates of the i-th point on the surface of the hydraulic system structure model are the common coordinates on any two sets of part models, and the judgment function The value is 1, otherwise it is 0;

[0026] Judgment value When the result of the calculation is 2, the point is further calculated based on formula (2) to obtain the criticality of the point, and the groups are arranged in descending order based on the results of the criticality of each point. The corresponding points;

[0027] Based on formula (1), the judgment value of each point on the surface of the hydraulic system structure model is obtained.

[0028] Furthermore, the picking module is internally provided with submodules, including:

[0029] A setting unit, used to set the number of key monitoring points to be picked up by the picking module;

[0030] Among them, the picking module runs based on the number of key monitoring points set by the setting unit to pick up the key monitoring points. When picking up the key monitoring points, the picking module picks the front points in the descending order from front to back based on the arrangement order and the picking number of each point, as the key monitoring points picked up by the picking module.

[0031] Furthermore, the number of key monitoring points to be picked up set in the setting unit is subject to:

[0032] ;

[0033] Where: The number of key monitoring points picked up for the set unit; Pick up base numbers for key monitoring points; The wall thickness of the structural parts that store fluid in the hydraulic system; The accuracy of the threads on the screws and nuts used to connect the structural parts storing liquids in the hydraulic system; is the normalization factor;

[0034] Among them, the number of key monitoring points set by the setting unit is Use the rounding method to set the number of key monitoring points set by the unit. Based on the normalization factor The setting is always less than the number of points with a judgment value of 2, and the above formula is based on the normalization factor in the denominator The setting of T is always not less than .

[0035] Furthermore, the camera module is a monitoring device, and the camera module is provided in several groups, and each group of key monitoring points picked up by the preparation layer is deployed with a group of camera modules, and the camera end of the camera module faces the key monitoring point and is opposite to the key monitoring point;

[0036] When the extraction module is running to extract the contour image from the key monitoring point image data, the contour image from the key monitoring point image data is extracted based on the edge detection algorithm, and the extracted contour image is stored;

[0037] Among them, the camera module has an operation cycle customized by the system user, and the camera module runs continuously based on the set operation cycle. When the extraction module stores the contour image, it simultaneously distinguishes and stores the camera modules corresponding to the image data of the key monitoring points of the contour image source.

[0038] Furthermore, when the determination module determines whether there is a leakage fault in the hydraulic system, the earliest stored contour image and the latest stored contour image of the same partition storage interval are retrieved in the extraction module, and the hydraulic system is determined to have a fault based on the difference between the two sets of contour images;

[0039] The difference between the two groups of contour images is obtained by the following formula:

[0040] ;

[0041] Where: is the difference value of two sets of contour images; is the set of points on the contour image; is the distance between the vth point on the contour image A and the contour image B;

[0042] in, The larger the value, the greater the difference between the two groups of contour images. The user of the system defines the leakage fault judgment threshold. The value is compared to determine whether there is a fault in the hydraulic system. The set of points on the contour image is a set of endpoints of all contour segments when the contour of the joint position of the part model is equally divided into several groups of equal contour segments.

[0043] Furthermore, the construction module is interactively connected to an upload unit and a control unit at the lower level through a wireless network, the construction module is interactively connected to a capture module and a picking module through a wireless network, the picking module is interactively connected to a setting unit through a wireless network, the camera module is interactively connected to an extraction module and a determination module through a wireless network, and the preparation layer and the application layer perform data interaction through a wireless network.

[0044] In a second aspect, a method for intelligently diagnosing a hydraulic system leakage fault comprises the following steps:

[0045] Step 1: Upload the hydraulic system structural parameters and build a hydraulic system structural model based on the hydraulic system structural parameters;

[0046] Step 2: Set the capture logic of the key monitoring points of the hydraulic system leakage fault, and capture the key monitoring points on the hydraulic system structure model;

[0047] Step 3: Set the monitoring equipment deployment point picking logic, obtain the key monitoring points captured on the hydraulic system structure model, and apply the picking logic to pick the monitoring equipment deployment points in the key monitoring points;

[0048] Step 4: Use monitoring equipment to collect key point image data, and extract contour images from the key point image data;

[0049] Step 5: Setting the contour image difference analysis logic, and judging whether there is a leakage fault in the hydraulic system based on the contour image difference analysis;

[0050] Step 6: Output of determination results.

[0051] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0052] The present invention provides an intelligent diagnosis system for hydraulic system leakage faults. During operation, the system constructs a hydraulic system structural model and sets the deployment position of monitoring equipment on the hydraulic system structural model, so that the key images for monitoring the hydraulic system leakage faults are captured by the deployed monitoring equipment. Based on image analysis, the system provides hydraulic fault monitoring and diagnosis based on machine vision for the hydraulic system, ensuring that the leakage fault problem of the hydraulic system is no longer limited to diagnosis in the manner of sensor sensing hydraulic pressure, so that the operation of the hydraulic system is more secure, thereby further ensuring the stable use of the hydraulic system. At the same time, based on an intelligent diagnosis method for hydraulic system leakage faults, the system is provided with further operation logic support, ensuring that the technical solution composed of the system and the method can operate more reliably, effectively and stably. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0054] Figure 1 The figure is a structural diagram of an intelligent diagnosis system for hydraulic system leakage faults.

[0055] Figure 2 The figure is a flow chart of an intelligent diagnosis method for hydraulic system leakage fault.

[0056] Figure 3 It is a schematic diagram of the process of obtaining points on the contour image used when calculating the difference value of two groups of contour images in the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] The present invention will be further described below in conjunction with the embodiments.

[0059] Embodiment 1:

[0060] A hydraulic system leakage fault intelligent diagnosis system of this embodiment, such as Figure 1 As shown, it includes: preparation layer and application layer;

[0061] The preparation layer includes:

[0062] A building module for building a hydraulic system structural model;

[0063] The building block is divided into sub-modules, including:

[0064] Upload unit, used to upload structural parameters of the hydraulic system;

[0065] A control unit, used to monitor the running status of the building module, and control the uploading unit to run continuously based on the monitoring result of the running status of the building module;

[0066] The hydraulic system structural parameters uploaded by the upload unit are based on the parts constituting the hydraulic system, so that the hydraulic system structural parameters uploaded by the upload unit each time are structural parameters of a group of parts on the hydraulic system. After the upload unit uploads a group of part structural parameters each time, the control unit controls the uploaded part structural parameters in the upload unit to be sent to the construction module, and the construction module operates to construct a part model corresponding to the part structural parameters in three-dimensional space based on the part structural parameters.

[0067] A capture module is used to receive the hydraulic system structure model constructed in the construction module, and capture key monitoring points of hydraulic system leakage faults on the hydraulic system structure model;

[0068] When the capture module captures the key monitoring points of hydraulic system leakage faults on the hydraulic system structure model, it follows:

[0069] ;

[0070] Where: is the judgment value of the i-th point on the surface of the hydraulic system structure model; , is the judgment function; is the criticality of the i-th point on the surface of the hydraulic system structural model; is the distance between the height of the i-th point on the surface of the hydraulic system structure model and the vertex of the hydraulic system structure model; is the shortest distance from the i-th point on the surface of the hydraulic system structure model to the space storing liquid in the hydraulic system structure model; The shortest distance from the i-th point on the surface of the hydraulic system structure model to the movable parts on the hydraulic system structure model;

[0071] Among them, the i-th point on the surface of the hydraulic system structure model is at the negative corner position of the surface of the hydraulic system structure model, and the judgment function The value is 1, otherwise it is 0;

[0072] The coordinates of the i-th point on the surface of the hydraulic system structure model are the common coordinates on any two sets of part models, and the judgment function The value is 1, otherwise it is 0;

[0073] Judgment value When the result of the calculation is 2, the point is further calculated based on formula (2) to obtain the criticality of the point, and the groups are arranged in descending order based on the results of the criticality of each point. The corresponding points;

[0074] Based on formula (1), the judgment value is obtained for each point on the surface of the hydraulic system structure model;

[0075] A picking module is used to traverse the key monitoring points of the hydraulic system leakage fault captured by the capturing module, and pick up the key monitoring points from the key monitoring points of the hydraulic system leakage fault captured by the capturing module as the monitoring equipment deployment points;

[0076] The picking module is internally provided with submodules, including:

[0077] A setting unit, used to set the number of key monitoring points to be picked up by the picking module;

[0078] The picking module runs based on the number of key monitoring points set by the setting unit, and performs the picking of key monitoring points. When picking up key monitoring points, the picking module picks the leading points in the points arranged in descending order from front to back based on the arrangement order and the number of picking of each point, as the key monitoring points picked up by the picking module;

[0079] The number of key monitoring points to be picked up in the setting unit is subject to:

[0080] ;

[0081] Where: The number of key monitoring points picked up for the set unit; Pick up base numbers for key monitoring points; The wall thickness of the structural parts that store fluid in the hydraulic system; The accuracy of the threads on the screws and nuts used to connect the structural parts storing liquids in the hydraulic system; is the normalization factor;

[0082] Among them, the number of key monitoring points set by the setting unit is Use the rounding method to set the number of key monitoring points set by the unit. Based on the normalization factor The setting is always less than the number of points with a judgment value of 2, and the above formula is based on the normalization factor in the denominator The setting of T is always not less than ;

[0083] The application layer includes:

[0084] Camera module, used to collect image data of key monitoring points;

[0085] An extraction module is used to receive the key monitoring point image data collected by the camera module and extract the contour image of the key monitoring point image data;

[0086] A determination module, used for obtaining the contour image of the key monitoring point image data extracted by the extraction module, and determining whether there is a leakage fault in the hydraulic system based on the difference of the contour image of the key monitoring point image data;

[0087] When the determination module determines whether the hydraulic system has a leakage fault, the earliest stored contour image and the latest stored contour image of the same partition storage interval are retrieved in the extraction module, and the hydraulic system is determined to have a fault based on the difference between the two sets of contour images;

[0088] The difference between the two groups of contour images is obtained by the following formula:

[0089] ;

[0090] Where: is the difference value of two sets of contour images; is the set of points on the contour image; is the distance between the vth point on the contour image A and the contour image B;

[0091] in, The larger the value, the greater the difference between the two groups of contour images. The user of the system defines the leakage fault judgment threshold. Value comparison, determine whether there is a fault in the hydraulic system, the set of points on the contour image, is the set of endpoints of all contour segments when the contour of the joint position of the part model is equally divided into several groups of equal contour segments;

[0092] The construction module is interactively connected to the upload unit and the control unit at the lower level through a wireless network, the construction module is interactively connected to the capture module and the picking module through a wireless network, the picking module is interactively connected to the setting unit through a wireless network, the camera module is interactively connected to the extraction module and the judgment module through a wireless network, and the preparation layer and the application layer perform data interaction through the wireless network.

[0093] In this embodiment, the construction module runs to construct a hydraulic system structural model, the uploading unit synchronously uploads the structural parameters of the hydraulic system, the control unit monitors the running status of the construction module in real time, and controls the uploading unit to run continuously based on the monitoring result of the running status of the construction module. The capturing module further receives the hydraulic system structural model constructed in the construction module, and captures the key monitoring points of the hydraulic system leakage fault on the hydraulic system structural model. The picking module post-operates to traverse the key monitoring points of the hydraulic system leakage fault captured in the capturing module, and picks up the key monitoring points from the key monitoring points of the hydraulic system leakage fault captured by the capturing module as the deployment points of the monitoring equipment. The setting unit synchronously sets the number of key monitoring points picked up by the picking module, and then the camera module collects the image data of the key monitoring points. The extraction module runs to receive the image data of the key monitoring points collected by the camera module, and extracts the contour image of the image data of the key monitoring points. Finally, the judgment module obtains the contour image of the image data of the key monitoring points extracted by the extraction module, and judges whether the hydraulic system has a leakage fault based on the difference of the contour image of the image data of the key monitoring points.

[0094] Through the system in the above embodiment, the hydraulic system is provided with a technology that uses machine vision as a monitoring and diagnosis technology for hydraulic system leakage fault problems, so that the hydraulic system leakage fault problem can be combined with the existing technology and the technical solution of this case to achieve multi-faceted leakage fault monitoring and diagnosis;

[0095] See also Figure 3 As shown, based on the arrows in the figure, the source of the points on the contour image applied when performing the difference calculation is further demonstrated.

[0096] Embodiment 2:

[0097] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The intelligent diagnosis system for hydraulic system leakage fault in Example 1 is further described in detail:

[0098] The structural parameters of the hydraulic system are the set of structural parameters of the parts that make up the hydraulic system. The structural parameters of the parts that make up the hydraulic system are the three-dimensional coordinates converted in the three-dimensional space based on the size of the parts.

[0099] During the operation phase, the control unit monitors the operation status of the building module in real time. After monitoring that the building module has completed the construction of the part model, the uploading unit is controlled to run again until the uploading unit no longer uploads the hydraulic system structure parameters.

[0100] Among them, at least three groups of structural parameters of the hydraulic system structural parameters uploaded by the uploading unit in two consecutive operations are the same structural parameters.

[0101] The camera module is a monitoring device. There are several groups of camera modules. Each group of key monitoring points to be picked up by the preparation layer is deployed with a group of camera modules, and the camera end of the camera module faces the key monitoring point and is opposite to the key monitoring point.

[0102] When the extraction module is running to extract the contour image from the key monitoring point image data, the contour image from the key monitoring point image data is extracted based on the edge detection algorithm, and the extracted contour image is stored;

[0103] Among them, the camera module has an operation cycle customized by the system user, and the camera module runs continuously based on the set operation cycle. When the extraction module stores the contour image, it simultaneously distinguishes and stores the camera modules corresponding to the image data of the key monitoring points of the contour image source.

[0104] In this embodiment, through the above settings, further operating data and logic support are provided for the system in Example 1, ensuring the stable operation of the system in Example 1, so that the system in Example 1 can more stably complete the leakage fault monitoring and diagnosis of the hydraulic system.

[0105] Embodiment 3:

[0106] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The intelligent diagnosis system for hydraulic system leakage fault in Example 1 is further described in detail:

[0107] An intelligent diagnosis method for hydraulic system leakage faults comprises the following steps:

[0108] Step 1: Upload the hydraulic system structural parameters and build a hydraulic system structural model based on the hydraulic system structural parameters;

[0109] Step 2: Set the capture logic of the key monitoring points of the hydraulic system leakage fault, and capture the key monitoring points on the hydraulic system structure model;

[0110] Step 3: Set the monitoring equipment deployment point picking logic, obtain the key monitoring points captured on the hydraulic system structure model, and apply the picking logic to pick the monitoring equipment deployment points in the key monitoring points;

[0111] Step 4: Use monitoring equipment to collect key point image data, and extract contour images from the key point image data;

[0112] Step 5: Setting the contour image difference analysis logic, and judging whether there is a leakage fault in the hydraulic system based on the contour image difference analysis;

[0113] Step 6: Output of determination results.

[0114] In summary, during the operation of the system in the above embodiment, a hydraulic system structural model is constructed and the deployment position of the monitoring equipment is set on the hydraulic system structural model, so that the key images of hydraulic system leakage fault monitoring can be captured by the deployed monitoring equipment. Based on image analysis, machine vision-based hydraulic fault monitoring and diagnosis are provided to the hydraulic system, ensuring that the leakage fault problem of the hydraulic system is no longer limited to the diagnosis in the way that the sensor senses the hydraulic pressure, so that the operation of the hydraulic system is more secure, thereby further ensuring the stable use of the hydraulic system. At the same time, based on a hydraulic system leakage fault intelligent diagnosis method, further operation logic support is provided for the above system, ensuring that the technical solution composed of the system and method can operate more reliably, effectively and stably.

[0115] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent diagnosis system for hydraulic system leakage fault, characterized in that: include: Preparation layer and application layer; The preparation layer includes: A building module for building a hydraulic system structural model; A capture module is used to receive the hydraulic system structure model constructed in the construction module, and capture key monitoring points of hydraulic system leakage faults on the hydraulic system structure model; A picking module is used to traverse the key monitoring points of the hydraulic system leakage fault captured by the capturing module, and pick up the key monitoring points from the key monitoring points of the hydraulic system leakage fault captured by the capturing module as the monitoring equipment deployment points; The application layer includes: Camera module, used to collect image data of key monitoring points; An extraction module is used to receive the key monitoring point image data collected by the camera module and extract the contour image of the key monitoring point image data; A determination module, used for obtaining the contour image of the key monitoring point image data extracted by the extraction module, and determining whether there is a leakage fault in the hydraulic system based on the difference of the contour image of the key monitoring point image data; The building block is provided with sub-modules at the lower level, including: Upload unit, used to upload structural parameters of the hydraulic system; A control unit, used to monitor the running status of the building module, and control the uploading unit to run continuously based on the monitoring result of the running status of the building module; The hydraulic system structural parameters uploaded by the upload unit are based on the parts constituting the hydraulic system, so that the hydraulic system structural parameters uploaded by the upload unit each time are structural parameters of a group of parts on the hydraulic system. After the upload unit uploads a group of part structural parameters each time, the control unit controls the uploaded part structural parameters to be sent to the construction module, and the construction module constructs a part model corresponding to the part structural parameters in the three-dimensional space based on the part structural parameters. The structural parameters of the hydraulic system are a collection of structural parameters of the parts constituting the hydraulic system, and the structural parameters of the parts constituting the hydraulic system are three-dimensional coordinates converted in three-dimensional space based on the size of the parts; During the operation phase, the control unit monitors the operation status of the building module in real time. After monitoring that the building module has completed the construction of the part model, the uploading unit is controlled to run again until the uploading unit no longer uploads the hydraulic system structure parameters. Among them, at least three groups of structural parameters of the hydraulic system structural parameters uploaded by the uploading unit for two consecutive operations are the same structural parameters; The capture module captures the key monitoring points of the hydraulic system leakage fault on the hydraulic system structure model and follows: ； Where: is the judgment value of the i-th point on the surface of the hydraulic system structure model; , is the judgment function; is the criticality of the i-th point on the surface of the hydraulic system structural model; is the distance between the height of the i-th point on the surface of the hydraulic system structure model and the vertex of the hydraulic system structure model; is the shortest distance from the i-th point on the surface of the hydraulic system structure model to the space storing liquid in the hydraulic system structure model; The shortest distance from the i-th point on the surface of the hydraulic system structure model to the movable parts on the hydraulic system structure model; Among them, the i-th point on the surface of the hydraulic system structure model is at the negative corner position of the surface of the hydraulic system structure model, and the judgment function The value is 1, otherwise it is 0; The coordinates of the i-th point on the surface of the hydraulic system structure model are the common coordinates on any two sets of part models, and the judgment function The value is 1, otherwise it is 0; Judgment value When the result of the calculation is 2, the point is further calculated based on formula (2) to obtain the criticality of the point, and the groups are arranged in descending order based on the results of the criticality of each point. The corresponding points; Based on formula (1), the judgment value of each point on the surface of the hydraulic system structure model is obtained.

2. The intelligent diagnosis system for hydraulic system leakage fault according to claim 1 is characterized in that: The picking module is internally provided with submodules, including: A setting unit, used to set the number of key monitoring points to be picked up by the picking module; Among them, the picking module runs based on the number of key monitoring points set by the setting unit to pick up the key monitoring points. When picking up the key monitoring points, the picking module picks the front points in the descending order from front to back based on the arrangement order and the picking number of each point, as the key monitoring points picked up by the picking module.

3. The intelligent diagnosis system for hydraulic system leakage fault according to claim 2 is characterized in that: The number of key monitoring points to be picked up set in the setting unit is subject to: ； Where: The number of key monitoring points picked up for the set unit; Pick up base numbers for key monitoring points; The wall thickness of the structural parts that store fluid in the hydraulic system; The accuracy of the threads on the screws and nuts used to connect the structural parts storing liquids in the hydraulic system; is the normalization factor; Among them, the number of key monitoring points set by the setting unit is Use the rounding method to set the number of key monitoring points set by the unit. Based on the normalization factor The setting is always less than the number of points with a judgment value of 2, and the above formula is based on the normalization factor in the denominator The setting of T is always not less than .

4. The intelligent diagnosis system for hydraulic system leakage fault according to claim 1 is characterized in that: The camera module is a monitoring device. There are several groups of camera modules. Each group of key monitoring points picked up by the preparation layer is deployed with a group of camera modules, and the camera end of the camera module faces the key monitoring point and is opposite to the key monitoring point. When the extraction module is running to extract the contour image from the key monitoring point image data, the contour image from the key monitoring point image data is extracted based on the edge detection algorithm, and the extracted contour image is stored; Among them, the camera module has an operation cycle customized by the system user, and the camera module runs continuously based on the set operation cycle. When the extraction module stores the contour image, it simultaneously distinguishes and stores the camera modules corresponding to the image data of the key monitoring points of the contour image source.

5. The intelligent diagnosis system for hydraulic system leakage fault according to claim 4 is characterized in that: When the determination module determines whether the hydraulic system has a leakage fault, the extraction module retrieves the earliest stored contour image and the latest stored contour image of the same partition storage interval, and determines whether the hydraulic system has a fault based on the difference between the two sets of contour images; The difference between the two groups of contour images is obtained by the following formula: ； Where: is the difference value of two sets of contour images; is the set of points on the contour image; is the distance between the vth point on the contour image A and the contour image B; in, The larger the value, the greater the difference between the two groups of contour images. The user of the system defines the leakage fault judgment threshold. The value is compared to determine whether there is a fault in the hydraulic system. The set of points on the contour image is a set of endpoints of all contour segments when the contour of the joint position of the part model is equally divided into several groups of equal contour segments.

6. The intelligent diagnosis system for hydraulic system leakage fault according to claim 1 is characterized in that: The construction module is interactively connected to an upload unit and a control unit at the lower level through a wireless network, the construction module is interactively connected to a capture module and a pickup module through a wireless network, the pickup module is interactively connected to a setting unit through a wireless network, the camera module is interactively connected to an extraction module and a determination module through a wireless network, and the preparation layer and the application layer perform data interaction through a wireless network.

7. A method for intelligent diagnosis of hydraulic system leakage faults, the method being an implementation method of the intelligent diagnosis system for hydraulic system leakage faults as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: Upload the hydraulic system structural parameters and build a hydraulic system structural model based on the hydraulic system structural parameters; Step 2: Set the capture logic of the key monitoring points of the hydraulic system leakage fault, and capture the key monitoring points on the hydraulic system structure model; Step 3: Set the monitoring equipment deployment point picking logic, obtain the key monitoring points captured on the hydraulic system structure model, and apply the picking logic to pick the monitoring equipment deployment points in the key monitoring points; Step 4: Use monitoring equipment to collect key point image data, and extract contour images from the key point image data; Step 5: Setting the contour image difference analysis logic, and judging whether there is a leakage fault in the hydraulic system based on the contour image difference analysis; Step 6: Output of determination results.

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