Contact feature library construction method, system, device, equipment and storage medium

Abstract

The present application discloses a contact feature library construction method, system, device, equipment and storage medium. The contact feature library construction method includes: collecting contact morphology of at least one relay sample to obtain at least one group of contact morphology images; extracting the contact ablation area contour and roughness information corresponding to each group of contact morphology images in at least one group of contact morphology images; determining multiple feature parameters corresponding to each group of contact morphology images according to the contact ablation area contour and roughness information corresponding to each group of contact morphology images; wherein the feature parameters include one or more of area parameters, height parameters and volume parameters; establishing a contact feature library according to at least one group of contact morphology images and multiple feature parameters corresponding to each group of contact morphology images. In this way, by establishing a contact feature library with image features and digital features, it is possible to provide a data basis for relay failure mechanism determination, which is conducive to improving product reliability.

Description

Technical Field

[0001] The present application relates to the field of relay contact measurement technology, and in particular to a contact feature library construction method, system, device, equipment and storage medium. Background Art

[0002] Relays are mainly used in energy storage, solar power generation, charging stations, new energy vehicles and other fields. In new energy vehicles, there are generally 5 to 8 relays used in discharge circuits, fast charging circuits, slow charging circuits and various auxiliary circuits. However, the failure rate of relays in the market is relatively high, mainly due to the adhesion (welding) problem caused by the disconnection / closure of contacts under load. How to quickly and easily determine the contact failure mechanism and working conditions is of great significance to improving the reliability of relays. Summary of the invention

[0003] The present application proposes a contact feature library construction method, system, device, equipment and storage medium. By establishing a contact feature library with image features and digital features, it can provide a data basis for relay failure mechanism determination, which is conducive to improving product reliability.

[0004] The technical solution of this application is implemented as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for constructing a contact feature library, the method comprising:

[0006] Collecting contact morphology of at least one relay sample to obtain at least one set of contact morphology images;

[0007] Extracting the contact ablation area contour and roughness information corresponding to each group of contact topography images in at least one group of contact topography images;

[0008] Determine a plurality of characteristic parameters corresponding to each group of contact topography images according to the contact ablation area contour and roughness information corresponding to each group of contact topography images; wherein the characteristic parameters include one or more of area parameters, height parameters and volume parameters;

[0009] A contact feature library is established based on at least one group of contact morphology images and a plurality of feature parameters corresponding to each group of contact morphology images.

[0010] Through the above-mentioned technical means, for at least one group of contact morphology images obtained, corresponding multiple feature parameters, such as area parameters, height parameters and volume parameters, etc., can be extracted, so as to realize the quantitative characterization method of the failed relay contact morphology, and in the case of a large number of relay samples, a relatively comprehensive contact feature library can be established, which is conducive to improving the prediction accuracy of the contact feature library; in addition, since multiple feature parameters are fully utilized to characterize the contact surface morphology of the relay samples, and a contact feature library with image features and digital features is established, it can also provide a data basis for the subsequent relay failure mechanism determination, thereby saving a lot of time, manpower and material costs, meeting user needs, and bringing convenience to the subsequent relay contact failure troubleshooting in the market.

[0011] In some embodiments, the contact feature library construction method further includes: determining a test condition corresponding to each of at least one relay sample; determining a correspondence between at least one group of contact morphology images and the test condition based on a correspondence between at least one group of contact morphology images and at least one relay sample;

[0012] A contact feature library is established based on at least one group of contact morphology images and multiple feature parameters corresponding to each group of contact morphology images, including: establishing a contact feature library based on the correspondence between at least one group of contact morphology images and test conditions and multiple feature parameters corresponding to each group of contact morphology images; wherein the contact feature library is used to record the correspondence between the test conditions, the contact morphology images and the multiple feature parameters.

[0013] Through the above technical means, after obtaining the correspondence between at least one set of contact morphology images and test conditions, combined with multiple characteristic parameters corresponding to each set of contact morphology images, a contact feature library that characterizes the correspondence between test conditions, contact morphology images, and multiple characteristic parameters can be established. Moreover, the contact feature library covers the contact morphology images and characteristic parameter information under different test conditions, so that a relatively comprehensive contact feature library can be established, which can easily and quickly determine the failure mechanism, working conditions, etc. of the relay contact, bringing convenience to the subsequent market relay contact failure troubleshooting.

[0014] In some embodiments, the type of the test condition includes at least one of the following: a DC disconnection type, a capacitive connection type, and an overload tolerance type;

[0015] Determine the test conditions corresponding to at least one relay sample, including: when the test condition corresponding to the first relay sample is a DC disconnection type, determine the sub-condition type under the DC disconnection type corresponding to the first relay sample according to the voltage level, current level and number of operations corresponding to the first relay sample; when the test condition corresponding to the first relay sample is a capacitive connection type, determine the sub-condition type under the capacitive connection type corresponding to the first relay sample according to the voltage level, current level, number of operations and capacitive load parameters corresponding to the first relay sample; when the test condition corresponding to the first relay sample is an overload tolerance type, determine the sub-condition type corresponding to the capacitive connection type corresponding to the first relay sample according to the voltage level and current level corresponding to the first relay sample; wherein the first relay sample is any one of the at least one relay sample.

[0016] Through the above-mentioned technical means, for the test conditions corresponding to at least one relay sample, the operating condition type corresponding to each relay sample can be determined first, such as DC disconnection type, capacitive connection type and overload tolerance type, and then the sub-operating condition types can be divided according to different voltage levels, current levels, number of operations and capacitive loads, etc. The sub-operating condition corresponding to each relay sample can be optionally determined, so that the correspondence between different test conditions and at least one group of contact morphology images can be established.

[0017] In some embodiments, after establishing the contact feature library, the contact feature library construction method also includes: obtaining a second relay sample obtained under a first test condition; wherein the first test condition is different from the test condition contained in the contact feature library; performing contact morphology acquisition on the second relay sample to obtain a new set of contact morphology images; extracting multiple new feature parameters corresponding to a new set of contact morphology images; adding the first test condition, a new set of contact morphology images, and multiple new feature parameters to the contact feature library; wherein the contact feature library is also used to record the correspondence between the first test condition and a new set of contact morphology images and multiple new feature parameters.

[0018] Through the above-mentioned technical means, considering that there are many types of actual working conditions of relays, the classification of existing working conditions in the contact feature library is not complete enough. At this time, after obtaining the second relay sample obtained by the test under the first test condition, a set of new contact morphology images and multiple new feature parameters and other data information corresponding to the second relay sample can be obtained, and then these data information are added to the contact feature library. Since the data information corresponding to the new working condition type (such as the first test condition) is added, the contact feature library can be expanded, and the contact feature library can be updated and improved.

[0019] In some embodiments, after establishing a contact feature library, the contact feature library construction method also includes: collecting contact morphology of the relay sample to be identified to obtain a set of contact morphology images to be identified; extracting multiple feature parameters to be identified corresponding to a set of contact morphology images to be identified; matching the contact feature library according to a set of contact morphology images to be identified and the multiple feature parameters to be identified; when identifying target data information matching a set of contact morphology images to be identified and the multiple feature parameters to be identified in the contact feature library, determining the operating condition type of the relay sample to be identified according to the test operating condition corresponding to the target data information.

[0020] Through the above technical means, if a new relay sample is obtained, but it is not possible to determine whether the data information corresponding to the relay sample has been recorded in the contact feature library, then it is necessary to identify the new relay sample (such as the relay sample to be identified), and then compare and match it with the existing data information in the contact feature library. If the target data information that matches a set of contact morphology images to be identified and multiple feature parameters to be identified can be identified in the contact feature library, then the working condition type of the relay sample to be identified can be determined based on the test working condition corresponding to the target data information, thereby realizing the working condition identification function of the contact feature library.

[0021] In some embodiments, after matching a set of contact morphology images to be identified and a plurality of characteristic parameters to be identified with a contact feature library, the contact feature library construction method further includes: when target data information matching a set of contact morphology images to be identified and a plurality of characteristic parameters to be identified is not identified in the contact feature library, determining a second test condition corresponding to the relay sample to be identified; adding the second test condition, a set of contact morphology images to be identified and a plurality of characteristic parameters to be identified to the contact feature library; wherein the contact feature library is also used to record the correspondence between the second test condition and a set of contact morphology images to be identified and a plurality of characteristic parameters to be identified.

[0022] Through the above-mentioned technical means, if the target data information matching a set of contact morphology images to be identified and multiple feature parameters to be identified is not identified in the contact feature library, then the data information corresponding to the relay sample to be identified can also be added to the contact feature library, thereby expanding the contact feature library and updating and improving the contact feature library.

[0023] In some embodiments, the contact feature library construction method also includes: determining the relay serial number to be retrieved; searching in the contact feature library according to the relay serial number to obtain data information corresponding to the relay serial number; wherein the data information includes the test conditions corresponding to the relay serial number, the contact morphology image and multiple characteristic parameters.

[0024] Through the above technical means, the contact feature library is searched according to the relay number to obtain the data information corresponding to the relay number, so that the corresponding data information can be quickly obtained in a targeted manner, thereby accelerating the speed of data acquisition.

[0025] In some embodiments, the contact feature library construction method further includes: storing the contact feature library in the form of a database.

[0026] Through the above technical means, the contact feature library can be stored in the form of a database, and then the database can be accessed by retrieval or uploading, thereby providing a fast query function, making data management more efficient, and ensuring the reliability of the data.

[0027] In a second aspect, an embodiment of the present application provides a contact feature library system, the contact feature library system comprising an upload module and a storage module, wherein:

[0028] An uploading module, configured to upload at least one group of contact morphology images and a plurality of characteristic parameters corresponding to each group of contact morphology images to a storage module after acquiring at least one group of contact morphology images corresponding to at least one relay sample and a plurality of characteristic parameters corresponding to each group of contact morphology images;

[0029] A storage module is used to store the contact feature library established by the contact feature library construction method as described in the first aspect; wherein the contact feature library at least includes: at least one group of contact morphology images and multiple feature parameters corresponding to each group of contact morphology images.

[0030] Through the above-mentioned technical means, for at least one set of contact morphology images obtained, corresponding multiple feature parameters, such as area parameters, height parameters and volume parameters, etc., can be extracted, so as to realize the quantitative characterization of the morphology of relay failure contacts. Moreover, in the case of a large number of relay samples, a relatively comprehensive contact feature library can be established and saved, which is not only conducive to improving the prediction accuracy of the contact feature library, but also can provide a data basis for the subsequent determination of the relay failure mechanism.

[0031] In some embodiments, the upload module is also used to upload the test conditions corresponding to at least one relay sample to the storage module after obtaining the test conditions corresponding to at least one relay sample; the storage module is also used to save the contact feature library, and the contact feature library is used to record the correspondence between the test conditions, contact morphology images and multiple feature parameters.

[0032] Through the above-mentioned technical means, after obtaining the test conditions corresponding to at least one relay sample, when uploading at least one group of contact morphology images and multiple characteristic parameters corresponding to each group of contact morphology images to the storage module, the test conditions corresponding to at least one relay sample can also be uploaded to the storage module simultaneously, so that the correspondence between the test conditions, contact morphology images and multiple characteristic parameters can be recorded in the storage module, which brings convenience to the subsequent relay contact failure troubleshooting in the market.

[0033] In some embodiments, the contact feature library system also includes an identification module, wherein: the identification module is used to match a group of contact morphology images to be identified and a plurality of feature parameters to be identified corresponding to the relay sample to be identified with the contact feature library in the storage module according to the group of contact morphology images to be identified and the plurality of feature parameters to be identified; when target data information matching a group of contact morphology images to be identified and the plurality of feature parameters to be identified is identified in the contact feature library, the operating condition type of the relay sample to be identified is determined according to the test operating condition corresponding to the target data information.

[0034] Through the above-mentioned technical means, if a new relay sample is obtained, but it is not certain whether the data information corresponding to the relay sample has been recorded in the contact feature library, then it is necessary to identify the new relay sample (such as the relay sample to be identified) through the identification module. If the target data information matching a set of contact morphology images to be identified and multiple feature parameters to be identified can be identified in the contact feature library, then the operating condition type of the relay sample to be identified can be determined according to the test conditions corresponding to the target data information, thereby realizing the operating condition identification function of the contact feature library.

[0035] In some embodiments, the contact feature library system also includes a query module, wherein: the query module is used to retrieve the contact feature library of the relay number in the storage module after obtaining the relay number to be retrieved, and obtain the data information corresponding to the relay number; wherein the data information includes the test conditions corresponding to the relay number, the contact morphology image and multiple characteristic parameters.

[0036] Through the above technical means, in the query module, the contact feature library can be searched according to the relay number to obtain the data information corresponding to the relay number, so that the corresponding data information can be quickly obtained in a targeted manner, thereby accelerating the speed of data acquisition.

[0037] In a third aspect, an embodiment of the present application provides a device for constructing a contact feature library, the device comprising a collection unit, an extraction unit and a creation unit, wherein:

[0038] A collection unit, configured to collect contact morphology of at least one relay sample to obtain at least one set of contact morphology images;

[0039] An extraction unit is configured to extract the contact ablation area contour and roughness information corresponding to each group of contact topography images in at least one group of contact topography images; and determine a plurality of characteristic parameters corresponding to each group of contact topography images according to the contact ablation area contour and roughness information corresponding to each group of contact topography images; wherein the characteristic parameters include one or more of area parameters, height parameters and volume parameters;

[0040] The establishing unit is configured to establish a contact feature library according to at least one group of contact morphology images and a plurality of feature parameters corresponding to each group of contact morphology images.

[0041] Through the above-mentioned technical means, for at least one group of contact morphology images acquired by the acquisition unit, the corresponding multiple feature parameters, such as area parameters, height parameters and volume parameters, can be extracted by the extraction unit, so as to realize the quantitative characterization of the morphology of the failed relay contacts, and a relatively comprehensive contact feature library can be established, which is conducive to improving the prediction accuracy of the contact feature library; in addition, since multiple feature parameters are fully utilized to characterize the contact surface morphology of the relay samples, and a contact feature library with image features and digital features is established, it can also provide a data basis for the subsequent relay failure mechanism determination, thereby saving a lot of time, manpower and material costs, and at the same time bringing convenience to the subsequent relay contact failure troubleshooting in the market.

[0042] In a fourth aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, wherein: the memory is used to store a computer program that can be run on the processor; the processor is used to execute the steps of the contact feature library construction method described in the first aspect when running the computer program.

[0043] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the contact feature library construction method as described in the first aspect are implemented.

[0044] In a sixth aspect, an embodiment of the present application provides a computer program product, including a computer program or instructions, which, when executed by a processor, implements the steps of the contact feature library construction method as described in the first aspect.

[0045] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and are not intended to limit the technical solutions of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1A schematic diagram of a contact feature library construction method provided in an embodiment of the present application Figure 1 ;

[0047] Figure 2 A schematic diagram of a group of contact morphology images of a relay sample provided in an embodiment of the present application;

[0048] Figure 3 A schematic diagram of a contact feature library construction method provided in an embodiment of the present application Figure 2 ;

[0049] Figure 4 A schematic diagram of a contact feature library construction method provided in an embodiment of the present application Figure 3 ;

[0050] Figure 5 A schematic diagram of a contact feature library construction method provided in an embodiment of the present application Figure 4 ;

[0051] Figure 6 A schematic diagram of a contact feature library construction method provided in an embodiment of the present application Figure 5 ;

[0052] Figure 7 A schematic diagram of storing a contact morphology image provided in an embodiment of the present application;

[0053] Figure 8 A schematic diagram of the structure of a contact feature library system provided in an embodiment of the present application Figure 1 ;

[0054] Fig. 9 A schematic diagram of a login interface of a contact feature library system provided in an embodiment of the present application;

[0055] Fig.10 A schematic diagram of the structure of a contact feature library system provided in an embodiment of the present application Figure 2 ;

[0056] Fig.11 A schematic diagram of an upload module interface of a contact feature library system provided in an embodiment of the present application;

[0057] Fig.12 A schematic diagram of an interface of an identification module of a contact feature library system provided in an embodiment of the present application;

[0058] Fig.13 A schematic diagram of a query module interface of a contact feature library system provided in an embodiment of the present application;

[0059] Fig.14 A schematic diagram of the application process of a contact feature library construction method provided in an embodiment of the present application;

[0060] Fig.15 A schematic diagram of a contact feature library construction device provided in an embodiment of the present application Figure 1 ;

[0061] Fig.16 A schematic diagram of a contact feature library construction device provided in an embodiment of the present application Figure 2 ;

[0062] Fig.17 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0063] In order to enable a more detailed understanding of the features and technical contents of the embodiments of the present application, the implementation of the embodiments of the present application is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present application.

[0064] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0065] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0066] It should also be pointed out that the terms "first\second\third" involved in the embodiments of the present application are only used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged in a specific order or sequence where permitted, so that the embodiments of the present application described here can be implemented in an order other than that illustrated or described here.

[0067] In addition, the reference to "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0068] Before further describing the embodiments of the present application in detail, the nouns and terms involved in the embodiments of the present application are described first. The nouns and terms involved in the embodiments of the present application are subject to the following interpretations:

[0069] Skewness (Ssk): is a measure of the direction and degree of skewness and a numerical characteristic of the degree of asymmetry;

[0070] Kurtosis (Sku): Similar to skewness, it is a statistic that describes the steepness of the distribution of all values ​​in the population;

[0071] Maximum peak height (Sp): refers to the height of the highest peak in the contour curve on the reference length;

[0072] Maximum concave depth (Sv): refers to the maximum value of the valley depth in the profile curve over the reference length;

[0073] Maximum height (Sz): the sum of the maximum peak height and the maximum concave depth;

[0074] Arithmetic mean height (Sa): refers to the arithmetic mean of the absolute Z values ​​in the assessment area;

[0075] Material ratio (Smr1): the material area ratio after dividing the peak from the center, expressed as a percentage;

[0076] Peak material volume (Vmp) and core material volume (Vmc): refers to the material volume and void volume calculated from the material ratio curve, where the position corresponding to a material ratio of 10% is regarded as the critical point of the peak material volume, and the position corresponding to a material ratio of 80% is regarded as the critical point of the core material volume;

[0077] Ablation area ratio (S): refers to the ratio of ablation area to surface area;

[0078] Surface area ratio (B): refers to the ratio of the surface area of ​​a particle to the total area of ​​the particle in particle analysis;

[0079] Contact resistance (R): refers to the resistance generated by the connection between conductors in contact with each other. The main phenomenon is the local high temperature at the contact point between the conductors. The reason for this phenomenon is that there is an additional resistance at the contact point. This resistance is called contact resistance, which consists of two parts: contraction resistance Rs and surface film resistance Rb.

[0080] It should also be understood that battery cells are an important part of batteries, and new energy batteries are being used more and more widely in life and industry. For example, new energy vehicles equipped with batteries have been widely used. In addition, batteries are also being increasingly used in the field of energy storage.

[0081] At present, new energy batteries are increasingly used in life and industry. New energy batteries are not only used in energy storage power systems such as hydropower, thermal power, wind power and solar power stations, but are also widely used in electric vehicles such as electric bicycles, electric motorcycles, electric cars, as well as aerospace and other fields. With the continuous expansion of the application field of power batteries, the market demand is also constantly expanding.

[0082] In the embodiments of the present application, the battery may be a battery cell, or may be a battery pack (Pack) composed of multiple battery cells. A battery cell refers to a basic unit that can realize the mutual conversion of chemical energy and electrical energy, and can be used to make a battery module or a battery pack, so as to supply power to an electrical device. A battery cell may be a secondary battery, which refers to a battery cell that can be activated by charging the active material after the battery cell is discharged and can continue to be used. The battery cell may be a lithium-ion battery, a sodium-ion battery, a sodium-lithium-ion battery, a lithium metal battery, a sodium metal battery, a lithium-sulfur battery, a magnesium-ion battery, a nickel-hydrogen battery, a nickel-cadmium battery, a lead-acid battery, etc., which is not limited here.

[0083] In the embodiment of the present application, the battery may also be a single physical module including one or more battery cells to provide higher voltage and capacity. When there are multiple battery cells, the multiple battery cells are connected in series, in parallel or in hybrid connection through a busbar component.

[0084] Alternatively, with the widespread application of batteries in the field of power batteries and energy storage, the replacement of fuel vehicles by new energy vehicles (such as electric vehicles) has become a development trend in the automotive industry. In new energy vehicles, 5 to 8 relays are generally used in discharge circuits, fast charging circuits, slow charging circuits, and various auxiliary circuits. However, the failure rate of relays in the market is relatively high, mainly due to the adhesion (welding) problem caused by the disconnection / closure of contacts under load. Therefore, it is urgent to determine the quantitative characterization value of the contact adhesion failure morphology, as well as the correspondence between the contact adhesion failure morphology and the failure mechanism and working conditions, so as to facilitate market failure troubleshooting, meet customer needs, and easily and quickly determine the root cause of failure.

[0085] In the related technology, although there are characterization parameters for the three-dimensional roughness of the contact ablation area morphology, the related technology only analyzes the characteristic quantities of silver wire contacts and is not suitable for the characteristic quantity analysis of other products; and in actual application, the related technology can only extract the three-dimensional morphology parameters within the rectangular area, which has the characteristics of incomplete coverage of the erosion area, insufficient feature extraction and single feature parameters, and cannot adapt to complex working conditions, such as relay contacts with complex erosion area conditions, and cannot meet customer needs.

[0086] Based on this, the embodiments of the present application provide a contact feature library construction method, system, device, equipment and storage medium, by collecting contact morphology of at least one relay sample, obtaining at least one group of contact morphology images; extracting the contact ablation area contour and roughness information corresponding to each group of contact morphology images in at least one group of contact morphology images; determining multiple feature parameters corresponding to each group of contact morphology images based on the contact ablation area contour and roughness information corresponding to each group of contact morphology images; and then establishing a contact feature library based on at least one group of contact morphology images and the multiple feature parameters corresponding to each group of contact morphology images. In this way, for at least one set of contact morphology images obtained, corresponding multiple feature parameters, such as area parameters, height parameters and volume parameters, etc., can be extracted, so as to realize the quantitative characterization method of the failed relay contact morphology. Moreover, when there are many relay samples, a relatively comprehensive contact feature library can be established, which is beneficial to improve the prediction accuracy of the contact feature library. In addition, since multiple feature parameters are fully utilized to characterize the contact surface morphology of the relay samples, and a contact feature library with image features and digital features is established, it can also provide a data basis for the subsequent relay failure mechanism determination, and can conveniently and quickly determine the failure mechanism, working condition, etc. of the relay contact, thereby saving a lot of time, manpower and material costs, and at the same time bringing convenience to the subsequent relay contact failure troubleshooting in the market, which is beneficial to improving product reliability.

[0087] The various embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0088] In one embodiment of the present application, Figure 1 A schematic diagram of a contact feature library construction method provided in an embodiment of the present application Figure 1 .like Figure 1 As shown, the contact feature library construction method includes:

[0089] S101, collecting contact morphology of at least one relay sample to obtain at least one set of contact morphology images.

[0090] In an embodiment of the present application, at least one relay sample is obtained under certain test conditions in order to obtain a relay contact morphology image under the corresponding test conditions. For example, these relay samples can be obtained under test conditions such as DC disconnection, capacitive connection, and overload tolerance.

[0091] It should be noted that, by collecting the contact morphology for each relay sample, a set of contact morphology images can be obtained. The contact morphology collection here mainly collects the contact surface morphology to obtain the contact surface morphology image, which can be referred to as "contact morphology image".

[0092] It should also be noted that a group of contact morphology images may include at least one contact morphology image. Here, the number of contact morphology images in each group is related to the number of contacts of the corresponding relay itself.

[0093] In the embodiment of the present application, taking a certain relay sample as an example, for the relay sample, the contacts on the relay can also be generally referred to as "contacts", which are in a normally open or normally closed state, and can also be simply understood as the contacts that connect or disconnect the signal when the switch is normally open or normally closed. For each relay sample, it can generally include two pairs of contacts, that is, four contacts, so four contact morphology images can be collected accordingly. In other words, four contact morphology images constitute a set of contact morphology images in the embodiment of the present application.

[0094] It should also be noted that, for relays, according to the voltage level of the relay, they can be divided into high-voltage relays and low-voltage relays. For example, a low-voltage relay may refer to a relay that operates within a voltage range below 24V, and a high-voltage relay may refer to a relay that operates within a voltage range above 220V. Alternatively, according to the current type of the relay, it can also be divided into a DC relay and an AC relay. Among them, the relay here can be a DC relay, or it can also be an AC relay. In the embodiment of the present application, the following is mainly described in detail by taking a high-voltage DC relay as an example.

[0095] Taking a relay sample as an example, the bright field (BF) + dark field (DF) observation method is selected, the mixed (MIX) light of BF+DF is used as the sampling light, and the 5x microscopic objective lens is used as the acquisition lens to shoot 3×3, 8530𝜇𝑚×8530𝜇𝑚 contact morphology images with an overlap area of ​​40% are taken. The collected contact morphology images can be used as the basis for the subsequent extraction of contact morphology information. In the acquisition process, the exposure time is 0.36ms and the sensitivity (ISO) speed is 400.

[0096] For example, Figure 2 A schematic diagram of a set of contact morphology images of a relay sample provided in an embodiment of the present application. Figure 2 As shown, this group of contact topography images may include: a first contact topography image 201, a second contact topography image 202, a third contact topography image 203, and a fourth contact topography image 204. Here, the first contact topography image 201 and the second contact topography image 202 are a pair of contact surface topography images collected for a certain relay sample, and the third contact topography image 203 and the fourth contact topography image 204 are another pair of contact surface topography images collected for a certain relay sample.

[0097] S102, extracting the contact ablation area contour and roughness information corresponding to each group of contact topography images in at least one group of contact topography images.

[0098] In the embodiment of the present application, after acquiring at least one set of contact topography images, the contact ablation area contour and roughness information corresponding to each set of contact topography images may be extracted.

[0099] In some embodiments, for step S102, extracting the contact ablation area contour and roughness information corresponding to each group of contact morphology images in at least one group of contact morphology images may include: performing ablation area contour extraction on each group of contact morphology images to obtain the contact ablation area contour corresponding to each group of contact morphology images; performing three-dimensional surface roughness extraction on each group of contact morphology images to obtain the roughness information corresponding to each group of contact morphology images.

[0100] It should be noted that, in the embodiment of the present application, extracting the ablation region contour of each group of contact topography images to obtain the contact ablation region contour corresponding to each group of contact topography images may include: extracting the ablation region contour of each group of contact topography images through a preset plane module to obtain the contact ablation region contour corresponding to each group of contact topography images. The characteristic parameters used to characterize the contact ablation region contour may include an area parameter.

[0101] In one possible implementation, extracting the contour of the ablation area for each group of contact morphology images may include: extracting the contour of the ablation area for each group of contact morphology images through a preset plane module to determine the ablation area ratio parameter; and extracting the contour of the ablation area for each group of contact morphology images through a preset area module to determine the surface area ratio parameter.

[0102] In the embodiment of the present application, the preset plane module and the preset area module are both algorithm modules in the existing software. For example, the plane module in the existing software can be analyzed, for example, the area information of the ablation area on the contact surface can be extracted by using the manual point drawing method to obtain the ablation area ratio parameter; by analyzing the area / volume module in the existing software, specifying the measurement area as the surface contour of the contact ablation area, the threshold module selects the upper limit, and the height contour curve is lowered to ensure that the difference between the area parameter value and the area parameter value in the plane module is less than 1%, and the surface area ratio parameter can be obtained.

[0103] It should also be noted that, in the embodiment of the present application, performing three-dimensional surface roughness extraction on each group of contact topography images to obtain roughness information corresponding to each group of contact topography images may include: performing three-dimensional surface roughness extraction on each group of contact topography images through a preset roughness module to obtain roughness information corresponding to each group of contact topography images. The characteristic parameters used to characterize the roughness information may include height parameters, volume parameters, etc.

[0104] In the embodiment of the present application, the preset roughness module is also an algorithm module in the existing software. For example, by analyzing the three-dimensional surface roughness module in the existing software, the measurement area is specified as a three-point circle with the center of the contact as the center, the pixel size is between 2150 and 2200, and the edge is higher than the contact lead angle, and the corresponding roughness information can be extracted.

[0105] S103, determining a plurality of characteristic parameters corresponding to each group of contact morphology images according to the contact ablation area contour and roughness information corresponding to each group of contact morphology images; wherein the characteristic parameters include one or more of area parameters, height parameters and volume parameters.

[0106] In an embodiment of the present application, based on the contact ablation area contour and roughness information corresponding to each set of contact morphology images, multiple characteristic parameters corresponding to each set of contact morphology images can be obtained, such as area parameters, height parameters and volume parameters, but it is not limited to this.

[0107] In some embodiments, based on the contact ablation area contour and roughness information corresponding to each group of contact morphology images, multiple characteristic parameters corresponding to each group of contact morphology images are determined, which may include: determining the area parameter among the multiple characteristic parameters based on the contact ablation area contour corresponding to each group of contact morphology images; determining the height parameter and volume parameter among the multiple characteristic parameters based on the roughness information corresponding to each group of contact morphology images.

[0108] In a possible implementation, for the area parameter, illustratively, the area parameter may include an ablation area ratio parameter and a surface area ratio parameter, etc., but is not limited thereto.

[0109] In one possible implementation, for height parameters, illustratively, the height parameters may include skewness parameters, kurtosis parameters, maximum peak height parameters, maximum concave depth parameters, maximum height parameters and arithmetic mean height parameters, etc.; for volume parameters, as one of the functional parameters, the volume parameters may include material ratio parameters, peak material volume parameters and core material volume parameters, etc., and no limitation is made here.

[0110] In some embodiments, for the characteristic parameters herein, the method further includes: acquiring test data of each relay sample; and determining electrical parameters among the plurality of characteristic parameters according to the test data of each relay sample.

[0111] In a possible implementation, electrical parameters can be obtained by testing each relay sample, such as contact resistance parameters. For example, contact resistance refers to the resistance generated by the connection between conductors that are in contact with each other. The main phenomenon is that local high temperature appears at the contact point between the conductors. The reason for this phenomenon is that there is an additional resistance at the contact point, which is called contact resistance, which can be composed of two parts: contraction resistance Rs and surface film resistance Rb.

[0112] It should be noted that in the embodiment of the present application, for each relay sample, multiple characteristic parameters, such as 12 characteristic parameters, can be extracted. Here, these multiple characteristic parameters can be divided into several categories: area parameters, height parameters, volume parameters and electrical parameters.

[0113] That is to say, in the embodiment of the present application, after obtaining at least one group of contact morphology images, feature extraction can be performed on the at least one group of contact morphology images, and multiple feature parameters corresponding to each group of contact morphology images can be obtained. Among them, the area parameters corresponding to each group of contact morphology images can be determined according to the contact ablation area contour corresponding to each group of contact morphology images, the height parameters and volume parameters corresponding to each group of contact morphology images can be determined according to the roughness information corresponding to each group of contact morphology images, and the corresponding electrical parameters can also be determined according to the test data of each relay sample; thus, the problems of incomplete coverage of erosion areas, insufficient feature extraction, and single feature parameters in the related art are solved, so that the contact feature library can cover multiple feature parameters such as height parameters, volume parameters, area parameters, and electrical parameters, thereby improving the accuracy of contact feature library prediction.

[0114] Exemplarily, it is assumed that the extracted multiple characteristic parameters may include 12 characteristic parameters, and the 12 characteristic parameters are shown in Table 1. It should be noted that Table 1 only schematically provides 12 characteristic parameters, and these characteristic parameters can be adaptively adjusted according to actual conditions, and no limitation is made here.

[0115] Table 1

[0116]

[0117] S104: establishing a contact feature library according to at least one group of contact morphology images and a plurality of feature parameters corresponding to each group of contact morphology images.

[0118] In the embodiment of the present application, after extracting multiple feature parameters corresponding to each group of contact morphology images, a contact feature library can be constructed based on at least one group of contact morphology images and multiple feature parameters corresponding to each group of contact morphology images. The contact feature library is mainly constructed for contact surface morphology information, so the contact feature library can also be called a "contact morphology library", or simply a "morphology library".

[0119] Thus, in the embodiment of the present application, in the established contact feature library, multiple feature parameters are fully utilized to characterize the contact surface morphology of the relay sample, and the contact feature library has image features and digital features, which can provide a data basis for the subsequent relay failure mechanism determination, and is conducive to improving the prediction accuracy of the contact feature library.

[0120] The embodiment of the present application provides a method for constructing a contact feature library, which collects contact morphology of at least one relay sample to obtain at least one group of contact morphology images; then extracts the contact ablation area contour and roughness information corresponding to each group of contact morphology images in the at least one group of contact morphology images; determines multiple feature parameters corresponding to each group of contact morphology images based on the contact ablation area contour and roughness information corresponding to each group of contact morphology images; and establishes a contact feature library based on the at least one group of contact morphology images and the multiple feature parameters corresponding to each group of contact morphology images. In this way, for at least one group of contact morphology images obtained, corresponding multiple feature parameters, such as area parameters, height parameters and volume parameters, etc., can be extracted, so as to realize the quantitative characterization method of the failed relay contact morphology. Moreover, when there are many relay samples, a relatively comprehensive contact feature library can be established, which is beneficial to improving the prediction accuracy of the contact feature library. In addition, since multiple feature parameters are fully utilized to characterize the contact surface morphology of the relay samples, and a contact feature library with image features and digital features is established, it can also provide a data basis for the subsequent relay failure mechanism determination, and can conveniently and quickly determine the failure mechanism, working condition, etc. of the relay contact, thereby saving a lot of time, manpower and material costs. Moreover, since the effective analysis of the relay failure mechanism is carried out, it is also beneficial to improve the reliability of the relay product.

[0121] In another embodiment of the present application, based on the contact feature library construction method of the above embodiment, Figure 3 A schematic diagram of a contact feature library construction method provided in an embodiment of the present application Figure 2 .like Figure 3 As shown, the contact feature library construction method may also include:

[0122] S301, determining a test condition corresponding to at least one relay sample.

[0123] It should be noted that, in the embodiment of the present application, the at least one relay sample is obtained by testing under different test conditions, and is used to obtain the corresponding relay samples under different test conditions, so as to analyze the corresponding contact morphology image and extract the corresponding multiple feature parameters.

[0124] It should also be noted that in the embodiments of the present application, for the test conditions, since relay failure usually occurs under three types of conditions: DC disconnection type, capacitive connection type, and overload tolerance type, in some embodiments, the type of test condition may include at least one of the following: DC disconnection type, capacitive connection type, and overload tolerance type.

[0125] That is to say, in the embodiment of the present application, in order to establish a more comprehensive contact feature library, these relay samples need to be obtained by testing under three operating conditions: DC disconnection type, capacitive connection type and overload tolerance type, so that the contact feature library can cover the three operating conditions: DC disconnection type, capacitive connection type and overload tolerance type.

[0126] In some embodiments, for determining the test conditions corresponding to each of at least one relay sample, sub-condition types may be divided according to different voltage levels, current levels, operation times, capacitive loads, etc. Assume that the first relay sample is any one of the at least one relay sample. Taking the first relay sample as an example, for determining the test conditions corresponding to the first relay sample, the following situations may be included:

[0127] Case 1: When the test condition corresponding to the first relay sample is a DC disconnection type, the sub-condition type under the DC disconnection type corresponding to the first relay sample is determined according to the voltage level, current level and number of operations corresponding to the first relay sample.

[0128] Case 2: When the test condition corresponding to the first relay sample is a capacitive connection type, the sub-condition type under the capacitive connection type corresponding to the first relay sample is determined according to the voltage level, current level, number of operations and capacitive load parameters corresponding to the first relay sample.

[0129] Case 3: When the test condition corresponding to the first relay sample is the overload tolerance type, the sub-condition type corresponding to the capacitive connection type corresponding to the first relay sample is determined according to the voltage level and current level corresponding to the first relay sample.

[0130] That is to say, in an embodiment of the present application, the sub-operating condition types included in the DC disconnection type can be characterized based on the voltage level, current level and number of operations; the sub-operating condition types included in the capacitive connection type can be characterized based on the voltage level, current level, number of operations and capacitive load parameters; the sub-operating condition types included in the overload tolerance type can be characterized based on the voltage level and current level.

[0131] It should also be noted that in the embodiment of the present application, for the DC disconnection type, it can include sub-operating conditions with different combinations of 3 voltage levels, 3 current levels, 3 operation times, and the like; for the capacitive connection type, it can include sub-operating conditions with different combinations of 3 voltage levels, 3 current levels, 3 operation times, and 3 capacitive loads; for the overload tolerance type, it can include sub-operating conditions with different combinations of 3 voltage levels, 6 current levels, and the like.

[0132] It should also be noted that the three types of working conditions, namely, DC disconnection type, capacitive connection type and overload tolerance type, can be referred to as large working condition classification; the sub-working condition types obtained by dividing the sub-working condition types according to different voltage levels, current levels, operation times and capacitive loads can be referred to as small working condition classification. For example, the contact appearance library includes a variety of small working conditions, such as 33 small working conditions, 35 small working conditions, etc. The specific number of small working conditions is related to the actual situation and is not limited here.

[0133] Exemplarily, taking the DC disconnection type as an example, the three voltage levels here can be 450V, 600V and 750V, the three current levels can be 100A, 200A and 500A, and the three operation times can be 1 time, 10 times and 100 times, but these level divisions are not limited in any way.

[0134] In this way, for the test conditions corresponding to at least one relay sample, the operating condition type corresponding to each relay sample can be determined first, such as DC disconnection type, capacitive connection type and overload tolerance type, and then the sub-operating condition types can be divided according to different voltage levels, current levels, number of operations and capacitive loads, etc. The sub-operating condition corresponding to each relay sample can be optionally determined, so that the correspondence between different test conditions and at least one group of contact morphology images can be established.

[0135] S302: Determine a correspondence between at least one group of contact morphology images and a test condition according to a correspondence between at least one group of contact morphology images and at least one relay sample.

[0136] S303, establishing a contact feature library according to the correspondence between at least one group of contact morphology images and the test conditions and multiple feature parameters corresponding to each group of contact morphology images; wherein the contact feature library is used to record the correspondence between the test conditions, the contact morphology images and the multiple feature parameters.

[0137] It should be noted that in the embodiment of the present application, since at least one group of contact morphology images is obtained by collecting at least one relay sample, that is, there is a corresponding relationship between at least one group of contact morphology images and at least one relay sample, after determining the test conditions corresponding to at least one relay sample, a corresponding relationship between at least one group of contact morphology images and the test conditions can be established.

[0138] It should also be noted that in the embodiment of the present application, when constructing the contact feature library, the test condition here may refer to a sub-condition type (represented by "condition id"). For example, the contact feature library includes 33 small conditions, and the condition id refers to the sequence number of the test condition in the 33 small conditions, such as 0, 1, 2, 3, etc., so as to establish a corresponding relationship between at least one set of contact morphology images and the condition id.

[0139] It should also be noted that, in the embodiment of the present application, the contact feature library constructed as above covers the contact morphology images and feature parameter information under the three major operating conditions tests, namely, DC disconnection type, capacitive connection type and overload tolerance type, under different voltage levels, current levels, number of operations and capacitive load sub-operating conditions, so that a relatively comprehensive contact feature library can be obtained, which can conveniently and quickly determine the failure mechanism, operating conditions, etc. of the relay contacts to meet user needs.

[0140] That is to say, in the embodiment of the present application, after obtaining the correspondence between at least one group of contact morphology images and the test conditions, a contact feature library that characterizes the correspondence between the test conditions, contact morphology images, and multiple feature parameters can be established in combination with the multiple feature parameters corresponding to each group of contact morphology images. Moreover, the contact feature library covers the contact morphology images and feature parameter information of the three major working conditions of DC disconnection type, capacitive connection type, and overload tolerance type, and the test conditions of different voltage levels, current levels, operation times, and capacitive loads, so that a relatively comprehensive contact feature library can be established, which can conveniently and quickly determine the failure mechanism, working conditions, etc. of the relay contacts, bringing convenience to the subsequent market for relay contact failure troubleshooting.

[0141] It is understandable that after the contact feature library is established, the contact feature library can also be updated. Figure 4 , the contact feature library construction method may also include:

[0142] S401, obtaining a second relay sample obtained under a first test condition; wherein the first test condition is different from the test condition included in the contact feature library.

[0143] In the embodiment of the present application, considering that the actual working conditions of the relay are diverse, the classification of existing working conditions in the contact feature library is not complete enough. At this time, relevant data for new working condition types can be added to update and improve the contact feature library.

[0144] It should be noted that the first test condition represents a new condition type different from the existing test conditions in the contact feature library. In order to add relevant data of the new condition type, firstly, a second relay sample obtained by testing under the first test condition can be obtained.

[0145] S402, collecting contact morphology of the second relay sample to obtain a new set of contact morphology images.

[0146] S403, extracting a plurality of new feature parameters corresponding to a set of new contact morphology images.

[0147] It should also be noted that after obtaining the second relay sample, a new set of contact morphology images can be obtained by collecting the contact morphology of the second relay sample; then, the contact ablation area contour and roughness information corresponding to this new set of contact morphology images are extracted, and according to the contact ablation area contour and roughness information corresponding to this new set of contact morphology images and the test data of the second relay sample, the corresponding multiple characteristic parameters can be determined, such as area parameters, height parameters, volume parameters, electrical parameters, etc.

[0148] In the embodiment of the present application, for these multiple characteristic parameters, illustratively, according to the contact ablation area contour corresponding to this set of new contact morphology images, area parameters such as ablation area ratio and surface area ratio can be determined; according to the roughness information corresponding to this set of new contact morphology images, height parameters such as skewness, kurtosis, maximum peak height, maximum concave depth, maximum height and arithmetic mean height, and volume parameters such as material ratio, peak material volume and core material volume can be determined; according to the test data of the second relay sample, electrical parameters such as contact resistance can be determined. It should be noted that multiple characteristic parameters can be adaptively adjusted according to actual conditions, and no limitation is made here for multiple characteristic parameters.

[0149] S404, adding the first test condition, a set of new contact morphology images and multiple new feature parameters to a contact feature library; wherein the contact feature library is also used to record the correspondence between the first test condition and a set of new contact morphology images and multiple new feature parameters.

[0150] In the embodiment of the present application, since this group of new contact morphology images is obtained by collecting the second relay sample, that is, there is a corresponding relationship between at least one group of new contact morphology images and the second relay sample, it is possible to establish a corresponding relationship between the first test condition and at least one group of new contact morphology images; the first test condition, a group of new contact morphology images and multiple new characteristic parameters are added to the contact feature library, so that the contact feature library can also be used to record the corresponding relationship between the first test condition and a group of new contact morphology images and multiple new characteristic parameters.

[0151] That is to say, in the embodiment of the present application, considering that the actual working conditions of the relay are various, the classification of the existing working conditions in the contact feature library is not complete enough. At this time, after obtaining the second relay sample obtained by the test under the first test condition, a set of new contact morphology images and multiple new feature parameters and other data information corresponding to the second relay sample can be obtained, and then these data information are added to the contact feature library. Since the data information corresponding to the new working condition type (such as the first test condition) is added, the contact feature library can be expanded, and the contact feature library can be updated and improved.

[0152] It is also understandable that after the contact feature library is established, the contact feature library also has a working condition identification function. Figure 5 , the contact feature library construction method may also include:

[0153] S501, collecting contact morphology of a relay sample to be identified, and obtaining a group of contact morphology images to be identified.

[0154] S502, extracting a plurality of feature parameters to be identified corresponding to a set of contact morphology images to be identified.

[0155] In an embodiment of the present application, if a new relay sample is obtained, but it is not certain whether the data information corresponding to the relay sample has been recorded in the contact feature library, it is necessary to identify it and compare and match it with the existing data information in the contact feature library.

[0156] Taking the relay sample to be identified as an example, a group of contact morphology images to be identified are obtained by collecting the contact morphology of the relay sample to be identified; then, the contact ablation area contour and roughness information corresponding to this group of contact morphology images to be identified are extracted, and according to the contact ablation area contour and roughness information corresponding to this group of contact morphology images to be identified and the test data of the relay sample to be identified, the corresponding multiple feature parameters to be identified can be determined, such as area parameters, height parameters, volume parameters, electrical parameters, etc.

[0157] In an embodiment of the present application, for these multiple feature parameters to be identified, for example, area parameters such as ablation area ratio and surface area ratio can be determined based on the contact ablation region contour corresponding to this set of contact morphology images to be identified; height parameters such as skewness, kurtosis, maximum peak height, maximum recess depth, maximum height and arithmetic mean height as well as volume parameters such as material ratio, peak material volume and core material volume can be determined based on the roughness information corresponding to this set of contact morphology images to be identified; electrical parameters such as contact resistance can be determined based on the test data of the relay sample to be identified.

[0158] S503: matching a set of to-be-identified contact morphology images and a plurality of to-be-identified feature parameters with a contact feature library.

[0159] In the embodiment of the present application, the contact feature library already contains data information corresponding to some working condition types, such as contact morphology images and corresponding multiple feature parameters, etc. After obtaining a set of contact morphology images to be identified and multiple feature parameters to be identified, they can be compared and matched with the data information in the contact feature library to determine whether there is data information in the contact feature library that matches the contact morphology images to be identified and the multiple feature parameters to be identified.

[0160] S504, when target data information matching a group of contact morphology images to be identified and a plurality of feature parameters to be identified is identified in the contact feature library, the operating condition type of the relay sample to be identified is determined according to the test operating condition corresponding to the target data information.

[0161] It should be noted that, in the embodiment of the present application, if target data information matching a set of contact morphology images to be identified and a plurality of characteristic parameters to be identified is identified in the contact feature library, then the test condition corresponding to the target data information can be determined as the operating condition type of the relay sample to be identified. In this case, the newly obtained set of contact morphology images to be identified and the plurality of characteristic parameters to be identified will no longer be added to the contact feature library.

[0162] It should also be noted that in the embodiment of the present application, for finding the target data information that matches a set of contact morphology images to be identified and multiple feature parameters to be identified in the contact feature library, the match here does not mean that the values ​​are completely consistent. For example, for the feature parameters to be identified, as long as the difference between the feature parameters to be identified and the feature parameters in the target data information meets the preset difference range; for the contact morphology images to be identified, as long as the image similarity between the contact morphology images to be identified and the contact morphology images in the target data information is greater than or equal to the preset similarity threshold.

[0163] Thus, in the embodiment of the present application, if a new relay sample is obtained, but it is not possible to determine whether the data information corresponding to the relay sample has been recorded in the contact feature library, then it is necessary to identify the new relay sample (e.g., the relay sample to be identified), and then compare and match it with the existing data information in the contact feature library. If target data information that matches a set of contact morphology images to be identified and multiple feature parameters to be identified can be identified in the contact feature library, then the operating condition type of the relay sample to be identified can be determined based on the test operating conditions corresponding to the target data information, thereby realizing the operating condition identification function of the contact feature library.

[0164] In some embodiments, after matching a set of contact morphology images to be identified and a plurality of feature parameters to be identified with a contact feature library, see Figure 5 , the contact feature library construction method may also include:

[0165] S505, when target data information matching a set of contact morphology images to be identified and a plurality of characteristic parameters to be identified is not identified in the contact feature library, determine a second test condition corresponding to the relay sample to be identified, and add the second test condition, a set of contact morphology images to be identified and a plurality of characteristic parameters to be identified to the contact feature library; wherein the contact feature library is also used to record the correspondence between the second test condition and a set of contact morphology images to be identified and a plurality of characteristic parameters to be identified.

[0166] It should be noted that in the embodiment of the present application, if the target data information matching a set of contact morphology images to be identified and a plurality of feature parameters to be identified is not found in the contact feature library, that is, the target data information matching the contact morphology images to be identified and a plurality of feature parameters to be identified does not exist in the contact feature library, then at this time, it is necessary to add a set of contact morphology images to be identified and a plurality of feature parameters to be identified to the contact feature library based on the correspondence between the set of contact morphology images to be identified and the second test condition, so that the contact feature library can also be used to record the correspondence between the second test condition and a set of contact morphology images to be identified and a plurality of feature parameters to be identified.

[0167] Thus, in an embodiment of the present application, if target data information matching a set of contact morphology images to be identified and a plurality of feature parameters to be identified is not identified in the contact feature library, then the data information corresponding to the relay sample to be identified can also be added to the contact feature library, thereby enabling the expansion of the contact feature library and updating and improving the contact feature library.

[0168] It is also understandable that after the contact feature library is established, the contact feature library also has a query function. Figure 6, the contact feature library construction method may also include:

[0169] S601, determine the relay serial number to be retrieved.

[0170] S602, searching in a contact feature library according to the relay serial number to obtain data information corresponding to the relay serial number; wherein the data information includes a test condition, a contact morphology image, and a plurality of characteristic parameters corresponding to the relay serial number.

[0171] In the embodiment of the present application, the retrieval method here is to search based on the relay serial number (or "relay code"). Among them, the relay serial number refers to the index of the relay to be searched in the contact feature library. Retrieval based on the relay serial number means entering the relay serial number in the designated search input box for retrieval, and then quickly matching the relevant data information with the highest similarity through data comparison in the contact feature library, such as test conditions (or "experimental conditions" or "working conditions"), contact morphology images, and multiple characteristic parameter information, etc., so as to achieve targeted and rapid acquisition of data information.

[0172] That is to say, in the embodiment of the present application, a search is performed in the contact feature library according to the relay serial number to obtain data information corresponding to the relay serial number, so that the corresponding data information can be obtained quickly and targetedly, thereby speeding up data acquisition.

[0173] In some embodiments, the contact feature library construction method may further include: storing the contact feature library in the form of a database.

[0174] In the embodiment of the present application, the contact morphology image and multiple feature parameters in the contact feature library can be stored in a database. Among them, multiple feature parameters can be stored in the database, and the contact morphology image can also be directly stored in the database; or, the contact morphology image can also be stored in a hard disk. For example, Figure 7 As shown, the first area 701 is the hard disk address of the storage, the second area 702 is the folder storing the topography image library, such as the "topography image library" folder in the computer D drive; the third area 703 is the multiple contact topography images contained in the topography image library. When the contact topography images can also be stored in the hard disk, they can be linked to the database through the address query function, which is not limited here.

[0175] Thus, in the embodiment of the present application, the contact feature library can be stored in the form of a database, and then the database can be accessed by retrieval or uploading, thereby providing a fast query function, making data management more efficient, and ensuring the reliability of the data.

[0176] The embodiment of the present application provides a method for constructing a contact feature library, which can clarify the quantitative characterization method of the morphology of failed relay contacts, and establish a relatively comprehensive contact feature library based on the failure sample space; through the establishment of the contact feature library, the failure mechanism, working conditions, etc. of the relay contacts can be conveniently and quickly determined, saving a lot of time and manpower and material costs for the enterprise, meeting user needs, and bringing convenience to the subsequent market for relay contact failure troubleshooting.

[0177] In another embodiment of the present application, based on the contact feature library construction method of the above embodiment, Figure 8 A schematic diagram of the structure of a contact feature library system provided in an embodiment of the present application Figure 1 .like Figure 8 As shown, the contact feature library system 80 may include a login module 801 and a menu selection module 802, wherein:

[0178] A login module 801, configured to log in to the contact feature library system 80;

[0179] The menu selection module 802 is configured to provide a quick selection channel for the user after logging into the contact feature library system 80, so that the logged-in user can select the required next processing module. Exemplarily, one of the query module, the identification module and the upload module is selected.

[0180] In the embodiments of the present application, Fig. 9 A schematic diagram of a login interface of a contact feature library system provided in an embodiment of the present application. Fig. 9 As shown, taking the high-voltage DC relay contact feature library system as an example, in the fourth area 901 of the login interface, in response to the user's first input operation, the user name and password are input; then in the fifth area 902 of the login interface, in response to the user's second input operation, the "Login" button is clicked, so that the contact feature library system can be entered. Among them, the first input operation is used to instruct the user to fill in the user name and password on the login interface, and the second input operation is used to instruct the user to click the "Login" button on the login interface. In addition, it should be noted that if in response to the user's third input operation in the sixth area 903 of the login interface, after the user clicks the "Exit" button, the login of the contact feature library system will be exited.

[0181] In some embodiments, Fig.10 A schematic diagram of the structure of a contact feature library system provided in an embodiment of the present application Figure 2 .like Fig.10 As shown, the contact feature library system 80 may further include an upload module 803 and a storage module 804, wherein:

[0182] The uploading module 803 is used to upload the at least one group of contact morphology images and the multiple characteristic parameters corresponding to each group of contact morphology images to the storage module 804 after obtaining at least one group of contact morphology images corresponding to at least one relay sample and the multiple characteristic parameters corresponding to each group of contact morphology images;

[0183] The storage module 804 is used to store the contact feature library established by the contact feature library construction method described in the above embodiment; wherein the contact feature library at least includes: at least one group of contact morphology images and multiple feature parameters corresponding to each group of contact morphology images.

[0184] In the embodiment of the present application, the storage module 804 may be a database, that is, at least one group of contact morphology images in the contact feature library and a plurality of feature parameters corresponding to each group of contact morphology images may be stored in the database.

[0185] In an embodiment of the present application, for at least one group of contact morphology images obtained, corresponding characteristic parameters such as area parameters, height parameters and functional parameters can be extracted, wherein the functional parameters at least include volume parameters, such as material ratio, peak material volume and core material volume, etc. In addition, according to the test data of the relay sample corresponding to each group of contact morphology images, the corresponding characteristic parameters such as electrical parameters can also be determined to obtain multiple characteristic parameters, such as area parameters, height parameters, functional parameters and electrical parameters, etc., so as to achieve a quantitative characterization method of the failed relay contact morphology, and in the case of a large number of relay samples, a relatively comprehensive contact feature library can be established and saved, which is not only conducive to improving the prediction accuracy of the contact feature library, but also can provide a data basis for the subsequent relay failure mechanism determination.

[0186] In some embodiments, the upload module 803 is also used to upload the test conditions corresponding to at least one relay sample to the storage module 804 after obtaining the test conditions corresponding to at least one relay sample; the storage module 804 is also used to save the contact feature library, and the contact feature library is used to record the correspondence between the test conditions, contact morphology images and multiple feature parameters.

[0187] In an embodiment of the present application, after obtaining the test conditions corresponding to at least one relay sample, when uploading at least one group of contact morphology images and multiple characteristic parameters corresponding to each group of contact morphology images to the storage module 804, the test conditions corresponding to at least one relay sample can also be synchronously uploaded to the storage module 804, so that the correspondence between the test conditions, contact morphology images and multiple characteristic parameters can be recorded in the storage module 804.

[0188] That is to say, in the embodiment of the present application, after obtaining the correspondence between at least one set of contact morphology images and the test conditions, a contact feature library representing the correspondence between the test conditions, contact morphology images and multiple feature parameters can be established in the storage module in combination with the multiple feature parameters corresponding to each set of contact morphology images. Moreover, the contact feature library covers the contact morphology images and feature parameter information under different test conditions, so that a relatively comprehensive contact feature library can be established, which can conveniently and quickly determine the failure mechanism, working conditions, etc. of the relay contacts, bringing convenience to the subsequent market relay contact failure troubleshooting.

[0189] For example, Fig.11 A schematic diagram of an upload module interface of a contact feature library system provided in an embodiment of the present application. Fig.11As shown, taking a relay sample as an example, in the interface corresponding to the upload module 803, the first interface area 1101 is used to fill in multiple characteristic parameters and working condition information corresponding to the relay sample. Here, the multiple characteristic parameters may include height parameter a1, function parameter a2, area parameter a4 and electrical parameter a5, wherein the height parameter a1 may include skewness (Ssk) a11, maximum concave depth (Sv) a12, kurtosis (Sku) a13, maximum height (Sz) a14, maximum peak height (Sp) a15 and arithmetic mean height (Sa) a16; the function parameter a2 may include material ratio (Smr1) a21, peak material volume (Vmp) a22 and core material volume (Vmc) a23; the area parameter a4 may include ablation area ratio (S) a41 and surface area ratio (B) a42; the electrical parameter a5 may include contact resistance (R) a51. The working condition information a3 may include the experimental type a31, the working voltage a32, the working current a33, the number of operations a34, whether to weld a35 and the load a36, wherein the experimental type a31, i.e. the aforementioned working condition type, can be selected from the DC disconnection type, the capacitive connection type and the overload tolerance type, and whether to weld a35 can be selected from yes and no. Here, the unit of the working voltage a32 is volt (Volt, V), the unit of the working current a33 is ampere (Ampere, A), and the unit of the contact resistance (R) a51 is milliohm (millimho, mΩ). The second interface area 1102 is used to add four contact morphology images corresponding to the relay sample, such as the contact morphology image b11 collected by the left moving contact, the contact morphology image b12 collected by the right moving contact, the contact morphology image b13 collected by the left stationary contact and the contact morphology image b14 collected by the right stationary contact. In addition, after determining the test condition corresponding to the relay, the third interface area 1103 is used to fill in the test condition type into the "upload condition id" box c11. Finally, in the fourth interface area 1104, in response to the user's fourth input operation, the user clicks the "upload" button to upload the data information filled in the first interface area 1101, the second interface area 1102 and the third interface area 1103.

[0190] In some embodiments, see Fig.10 The contact feature library system 80 may further include an identification module 805, wherein:

[0191] The identification module 805 is used to match a group of contact morphology images to be identified and a plurality of characteristic parameters to be identified corresponding to the relay sample to be identified with the contact feature library in the storage module according to the group of contact morphology images to be identified and the plurality of characteristic parameters to be identified; when target data information matching the group of contact morphology images to be identified and the plurality of characteristic parameters to be identified is identified in the contact feature library, determine the operating condition type of the relay sample to be identified according to the test operating condition corresponding to the target data information.

[0192] In an embodiment of the present application, if a new relay sample is obtained, but it is not certain whether the data information corresponding to the relay sample has been recorded in the contact feature library, then it is necessary to identify the new relay sample (for example, the relay sample to be identified) through the identification module. If target data information matching a set of contact morphology images to be identified and multiple feature parameters to be identified can be identified in the contact feature library, then the operating condition type of the relay sample to be identified can be determined based on the test operating conditions corresponding to the target data information, thereby realizing the operating condition identification function of the contact feature library.

[0193] It should also be noted that, in the embodiment of the present application, if target data information matching a set of contact morphology images to be identified and a plurality of feature parameters to be identified is not found in the contact feature library, that is, target data information matching a set of contact morphology images to be identified and a plurality of feature parameters to be identified does not exist in the contact feature library, then at this time, based on the correspondence between a set of contact morphology images to be identified and the second test condition, a set of contact morphology images to be identified and a plurality of feature parameters to be identified can be uploaded to the storage module 804 to be added to the contact feature library, so that the contact feature library can also be used to record the correspondence between the second test condition and a set of contact morphology images to be identified and a plurality of feature parameters to be identified.

[0194] For example, Fig.12 This is a schematic diagram of the interface of a recognition module of a contact feature library system provided in an embodiment of the present application. Fig.12 As shown, taking the relay sample to be identified as an example, in the interface corresponding to the identification module 805, the fifth interface area 1201 is used to fill in multiple characteristic parameters and working condition information corresponding to the relay sample to be identified, wherein the multiple characteristic parameters may include height parameter a1, function parameter a2, area parameter a4 and electrical parameter a5, and the working condition information a3 may include experimental type a31, working voltage a32, working current a33, number of operations a34, whether welding a35 and load a36. It should be noted that the specific contents of these multiple characteristic parameters and working condition information are different from those of the embodiment of the present invention. Fig.11, and will not be described in detail here. The sixth interface area 1202 is used to add four contact morphology images corresponding to the relay sample to be identified, such as the contact morphology image b11 collected by the left moving contact, the contact morphology image b12 collected by the right moving contact, the contact morphology image b13 collected by the left static contact, and the contact morphology image b14 collected by the right static contact. In addition, a schematic local structure of a relay sample 120 is also provided in the sixth interface area 1202, and the relay sample 120 may include a static contact 111, a moving contact 112, a push rod 113, a yoke iron plate 114 and a moving iron core 115. Finally, in the seventh interface area 1203, in response to the user's fifth input operation, the user clicks the "Identify" button to perform the operating condition identification of the relay sample.

[0195] In some embodiments, see Fig.10 The contact feature library system 80 may further include a query module 806, wherein:

[0196] The query module 806 is used to retrieve the relay serial number to be retrieved, and then search the contact feature library of the relay serial number in the storage module to obtain the data information corresponding to the relay serial number; wherein the data information includes the test conditions, contact morphology images and multiple characteristic parameters corresponding to the relay serial number.

[0197] In the embodiment of the present application, the retrieval method here is to search based on the relay serial number. Among them, the relay serial number refers to the index of the relay to be searched in the contact feature library. Retrieval based on the relay serial number means entering the relay serial number in the designated search input box for retrieval, and then quickly matching the relevant data information with the highest similarity through data comparison in the contact feature library, such as test conditions, contact morphology images, and multiple feature parameter information, so as to achieve targeted and rapid acquisition of data information.

[0198] That is to say, in the embodiment of the present application, in the query module, the contact feature library can be searched according to the relay serial number to obtain the data information corresponding to the relay serial number, so that the corresponding data information can be obtained quickly and targetedly, thereby speeding up the data acquisition.

[0199] For example, Fig.13 A schematic diagram of a query module interface of a contact feature library system provided in an embodiment of the present application. Fig.13As shown, in the interface corresponding to the query module 806, by inputting the relay serial number d11 to be retrieved, for example 0, in the tenth interface area 1303; then in the eleventh interface area 1304, in response to the user's sixth input operation, by the user clicking the "Query" button, the data information corresponding to the relay serial number d11 being equal to 0 can be displayed. Among them, the eighth interface area 1301 is used to display multiple characteristic parameters and operating condition information corresponding to when the relay serial number d11 is equal to 0, wherein the multiple characteristic parameters may include height parameter a1, functional parameter a2, area parameter a4 and electrical parameter a5, and the operating condition information a3 may include experimental type a31, working voltage a32, working current a33, number of operations a34, whether welding is performed a35 and load a36. It should be noted that the specific contents of these multiple characteristic parameters and operating condition information are different from Fig.11 In addition, the ninth interface area 1302 is used to display four contact morphology images corresponding to when the relay serial number d11 is equal to 0, such as the contact morphology image b11 collected by the left moving contact, the contact morphology image b12 collected by the right moving contact, the contact morphology image b13 collected by the left stationary contact, and the contact morphology image b14 collected by the right stationary contact.

[0200] It should also be noted that in the embodiments of the present application, Fig. 9 , Fig.11 , Fig.12 and Fig.13 The layout structure of the corresponding interface in the contact feature library system 80 is provided only for illustration, but no limitation is imposed on the layout structure of the interface.

[0201] In another embodiment of the present application, the relay sample takes a high-voltage DC relay as an example, and a high-voltage DC relay contact feature library and system are provided herein. On the one hand, it can cover the contact morphology and characteristic quantity information of working conditions such as different voltage levels, current levels, operation times and capacitance levels under three major working condition experiments of DC disconnection, capacitive connection and overload tolerance; on the other hand, a contact feature library is established from two aspects of information: contact morphology feature parameters and contact morphology images; on another hand, there are many contact morphology feature parameters, for example, 12 feature parameters such as height parameters, area parameters, electrical parameters and functional parameters, as shown in Table 1; on another hand, it has the function of retrieving, uploading and identifying contact morphology feature parameters.

[0202] In an embodiment of the present application, the test conditions corresponding to the DC disconnect contact morphology image obtained according to the aforementioned embodiment may include different combinations such as 3 voltage levels, 3 current levels, and 3 operation times; the test conditions corresponding to the capacitive connection contact morphology image obtained according to the aforementioned embodiment may include different combinations such as 3 voltage levels, 3 current levels, 3 operation times, and 3 capacitive loads; the test conditions corresponding to the overload tolerance contact morphology image obtained according to the aforementioned embodiment may include different combinations such as 3 voltage levels, 6 current levels, and the like.

[0203] In an embodiment of the present application, the operating condition type of the relay is identified based on the surface morphology characteristic parameters of the high-voltage DC relay contact obtained in the aforementioned embodiment, and compared and matched with the existing operating conditions in the contact feature library.

[0204] In addition, in the embodiment of the present application, the surface morphology characteristic parameters of the high-voltage DC relay contact obtained according to the aforementioned embodiment are stored in the database; and the surface morphology image of the high-voltage DC relay contact obtained according to the aforementioned embodiment can also be stored in the hard disk and linked to the database through the address query function. In addition, on the basis of the aforementioned embodiment, the relay data of the new working condition type can also be added to expand the database, update and improve it.

[0205] In some embodiments, Fig.14 A schematic diagram of the application process of a contact feature library construction method provided in an embodiment of the present application. Fig.14 As shown, the application process may include:

[0206] S1401, collecting a topographic image of a high-voltage DC relay contact.

[0207] S1402, selecting appropriate feature parameters, extracting feature parameters from the collected high-voltage DC relay contact morphology image, and obtaining a plurality of extracted feature parameters.

[0208] S1403: Establish a contact feature library of the high-voltage DC relay based on the extracted multiple feature parameters.

[0209] In the embodiment of the present application, the contact morphology image here is mainly collected for the contact surface morphology. In order to enable those skilled in the art to better understand the technical solution of the embodiment of the present application, the following is combined with Fig.14 The embodiments of the present application are described in detail. This part of the description is only exemplary and explanatory and should not have any limiting effect on the scope of protection of the present application.

[0210] In an embodiment of the present application, the embodiment of the present application specifically provides a method for obtaining morphological information of ablation regions of high-voltage DC relay contacts and constructing a contact feature library, which may include the following steps:

[0211] Step 1: Obtain a contact surface topography image.

[0212] Here, the observation method is adopted, the mixed light of bright field (BF) + dark field (DF) is used as the sampling light, and the 5x microscopic objective lens is used as the collection lens to shoot 3×3, 8530𝜇𝑚×8530𝜇𝑚 contact morphology images with an overlap area of ​​40% are taken. The collected contact morphology images are used as the basis for the subsequent extraction of contact morphology information. Among them, the exposure time can be 0.36ms and the iso speed can be 400.

[0213] Step 2: extracting the contact ablation area contour on the contact surface topography image, which may include:

[0214] By analyzing the plane module in the existing software, the artificial point drawing method is used to extract the ablation area information of the contact surface.

[0215] By analyzing the area / volume module in the existing software, the measurement area is specified as the surface contour of the contact ablation area, the threshold module selects the upper limit, and the height contour curve is lowered to ensure that the difference between the area parameter value and the area parameter value in the plane module is less than 1%, and the surface area ratio parameter is obtained.

[0216] Step 3: extracting roughness information from the contact surface topography image, which may include:

[0217] By analyzing the 3D surface roughness module in the existing software, the measurement area is specified as a three-point circle with the contact center as the center, the pixel size is between 2150-2200, and the edge is higher than the contact lead angle. In this way, height parameters such as skewness (Ssk), kurtosis (Sku), maximum peak height (Sp), maximum concave depth (Sv), maximum height (Sz) and volume parameters such as material ratio (Smr1), peak material volume (Vmp) and core material volume (Vmc) can be extracted.

[0218] Step 4: Establish a contact feature library of the high-voltage DC relay based on the extracted feature parameters.

[0219] It should be noted that the contact feature library established in the embodiment of the present application includes three major operating conditions, namely, DC disconnection, capacitive connection and overload tolerance. At the same time, it can be divided into a total of 33 minor operating conditions according to voltage level, current level, number of operations and capacitance level, which basically covers the common high-voltage DC relay operating conditions, such as the aforementioned Figure 7 shown.

[0220] It should also be noted that the contact feature library stores experimental conditions, contact morphology information, contact morphology images, etc. under 33 small working conditions of the high-voltage DC relay, for the contact feature library system to perform retrieval, upload, and identification operations.

[0221] In the embodiment of the present application, it is provided here how the user can retrieve the data information in the contact feature library through the retrieval module, see Fig.10 A menu selection module for a high-voltage DC relay contact feature library is also provided here. The menu selection module provides a quick selection channel for users, and the logged-in user selects the next corresponding processing module required, such as selecting an upload module, a query module or an identification module.

[0222] Exemplarily, when the user selects the query module, the user searches through the query module according to the required high-voltage DC relay morphology information data. The search method in the query module is relay serial number search. Serial number search is to enter the high-voltage DC relay serial number in the specified search input box for search. Then, through the data comparison in the contact feature library, the data files related to the high-voltage DC relay contacts with high similarity are quickly matched, such as experimental conditions, contact morphology information, and contact morphology diagrams, so as to achieve targeted and rapid acquisition of data files.

[0223] In the embodiment of the present application, the contact feature library can be stored in the form of a database. The database is used to store the contact morphology information of the high-voltage DC relay, and the user can enter the database by searching or uploading. In other words, the user retrieves the data file in the database by searching, or the user uploads the data file by uploading.

[0224] The embodiment of the present application provides a method for constructing a contact feature library. The specific implementation of the aforementioned embodiment is elaborated in detail through the above embodiment. It can be seen that according to the technical scheme of the aforementioned embodiment, multiple feature parameters are fully utilized to characterize the surface morphology of the high-voltage DC relay contact, and on this basis, a high-voltage DC relay contact surface morphology database with image features and digital features is established to provide a data basis for the determination of the failure mechanism of the high-voltage DC relay; on the other hand, the existing relay operating condition types in the contact feature library and the relay surface morphology feature parameters to be identified are algorithmically identified and matched, so that the operating condition type of the unknown high-voltage DC relay can be determined; on the other hand, considering that there are many types of actual relay operating conditions, the classification of existing operating conditions in the contact feature library is not complete enough, and new operating condition types need to be added to realize the expansion of the contact feature library, so that the contact feature library is more complete, so that a relatively comprehensive contact feature library can be established, which is conducive to improving the prediction accuracy of the contact feature library.

[0225] In another embodiment of the present application, Fig.15 A schematic diagram of a contact feature library construction device provided in an embodiment of the present application Figure 1 .like Fig.15As shown, the contact feature library construction device 150 may include a collection unit 1501, an extraction unit 1502 and a construction unit 1503, wherein:

[0226] The acquisition unit 1501 is configured to perform contact morphology acquisition on at least one relay sample to obtain at least one group of contact morphology images; the extraction unit 1502 is configured to extract the contact ablation area contour and roughness information corresponding to each group of contact morphology images in the at least one group of contact morphology images; and determine multiple feature parameters corresponding to each group of contact morphology images based on the contact ablation area contour and roughness information corresponding to each group of contact morphology images; wherein the feature parameters include one or more of area parameters, height parameters and volume parameters; the establishment unit 1503 is configured to establish a contact feature library based on at least one group of contact morphology images and multiple feature parameters corresponding to each group of contact morphology images.

[0227] In some embodiments, establishing unit 1503 is further configured to determine the test conditions corresponding to each of the at least one relay sample; determine the correspondence between at least one group of contact morphology images and the test conditions based on the correspondence between at least one group of contact morphology images and at least one relay sample; and establish a contact feature library based on the correspondence between at least one group of contact morphology images and the test conditions and multiple feature parameters corresponding to each group of contact morphology images; wherein the contact feature library is used to record the correspondence between the test conditions, contact morphology images and multiple feature parameters.

[0228] In some embodiments, the type of test conditions includes at least one of the following: a DC disconnection type, a capacitive connection type, and an overload tolerance type; accordingly, the establishment unit 1503 is also configured to determine the sub-condition type under the DC disconnection type corresponding to the first relay sample according to the voltage level, current level, and number of operations corresponding to the first relay sample when the test condition corresponding to the first relay sample is the DC disconnection type; when the test condition corresponding to the first relay sample is the capacitive connection type, determine the sub-condition type under the capacitive connection type corresponding to the first relay sample according to the voltage level, current level, number of operations, and capacitive load parameters corresponding to the first relay sample; when the test condition corresponding to the first relay sample is the overload tolerance type, determine the sub-condition type under the capacitive connection type corresponding to the first relay sample according to the voltage level and current level corresponding to the first relay sample; wherein the first relay sample is any one of at least one relay sample.

[0229] In some embodiments, see Fig.16The contact feature library construction device 150 also includes an updating unit 1504, which is configured to obtain a second relay sample obtained under a first test condition after establishing the contact feature library; wherein the first test condition is different from the test condition contained in the contact feature library; perform contact morphology acquisition on the second relay sample to obtain a set of new contact morphology images; extract multiple new feature parameters corresponding to a set of new contact morphology images; and add the first test condition, a set of new contact morphology images and a plurality of new feature parameters to the contact feature library; the contact feature library is also used to record the correspondence between the first test condition and a set of new contact morphology images and a plurality of new feature parameters.

[0230] In some embodiments, see Fig.16 The contact feature library construction device 150 also includes an identification unit 1505, which is configured to collect contact morphology of the relay sample to be identified after establishing the contact feature library, and obtain a group of contact morphology images to be identified; extract multiple feature parameters to be identified corresponding to the group of contact morphology images to be identified; match the group of contact morphology images to be identified and the multiple feature parameters to be identified with the contact feature library; and when target data information matching the group of contact morphology images to be identified and the multiple feature parameters to be identified is identified in the contact feature library, determine the working condition type of the relay sample to be identified according to the test working condition corresponding to the target data information.

[0231] In some embodiments, the identification unit 1505 is also configured to, after matching a group of contact morphology images to be identified and a plurality of characteristic parameters to be identified with the contact feature library, determine a second test condition corresponding to the relay sample to be identified when no target data information matching the group of contact morphology images to be identified and the plurality of characteristic parameters to be identified is identified in the contact feature library; and add the second test condition, the group of contact morphology images to be identified and the plurality of characteristic parameters to be identified to the contact feature library; wherein the contact feature library is also used to record the correspondence between the second test condition and the group of contact morphology images to be identified and the plurality of characteristic parameters to be identified.

[0232] In some embodiments, see Fig.16 The contact feature library construction device 150 also includes a query unit 1506, which is configured to determine the relay serial number to be retrieved; and to search the contact feature library according to the relay serial number to obtain data information corresponding to the relay serial number; wherein the data information includes the test conditions corresponding to the relay serial number, the contact morphology image and multiple characteristic parameters.

[0233] In some embodiments, the establishing unit 1503 is further configured to store the contact feature library in the form of a database.

[0234] It should be noted that those skilled in the art should understand that the relevant description of the contact feature library construction device 150 in the embodiment of the present application can be understood by referring to the relevant description of the contact feature library construction method described in the aforementioned embodiment.

[0235] In addition, in the embodiments of the present application, a "unit" may be a part of a circuit, a part of a processor, a part of a program or software, etc., and of course, it may be a module, or it may be non-modular. Moreover, the components in the present embodiment may be integrated into a processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of a software functional module.

[0236] If the integrated unit is implemented in the form of a software function module and is not sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this embodiment is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the method described in this embodiment. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0237] Therefore, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the contact feature library construction method described in the above embodiment are implemented.

[0238] In some embodiments, based on the components of the contact feature library construction device 150 and the computer-readable storage medium, Fig.17 The hardware structure diagram of an electronic device provided in an embodiment of the present application is shown in FIG. Fig.17 As shown, the electronic device 170 may include a communication interface 1701, a memory 1702, and a processor 1703; each component is coupled together via a bus system 1704. It is understood that the bus system 1704 is used to realize the connection and communication between these components. In addition to the data bus, the bus system 1704 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, Fig.17Various buses are labeled as bus system 1704. Among them, the communication interface 1701 is used to receive and send signals during the process of sending and receiving information between other external network elements;

[0239] A memory 1702, used for storing a computer program that can be run on the processor 1703;

[0240] Processor 1703 is used to execute the steps of the contact feature library construction method described in any one of the aforementioned embodiments when running the computer program.

[0241] It is understood that the memory 1702 of the embodiment of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus random access memory (DRRAM). The memory 1702 of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0242] The processor 1703 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware or software instructions in the processor 1703. The above-mentioned processor 1703 may be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 1702, and the processor 1703 reads the information in the memory 1702 and completes the steps of the above method in combination with its hardware.

[0243] It is also understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described in the present application, or a combination thereof.

[0244] For software implementation, the techniques described herein can be implemented by modules (e.g., procedures, functions, etc.) that perform the functions described herein. The software code can be stored in a memory and executed by a processor. The memory can be implemented in the processor or outside the processor.

[0245] In yet another embodiment of the present application, the embodiment of the present application further provides a computer program product, including a computer program or instructions, which, when executed by a processor, implements the steps of the contact feature library construction method as described in the aforementioned embodiment.

[0246] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, devices, equipment, or computer program products. Therefore, the present application may take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

[0247] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0248] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0249] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0250] It should be noted that, in this application, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0251] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0252] The methods disclosed in several method embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments.

[0253] The features disclosed in several product embodiments provided in this application can be arbitrarily combined without conflict to obtain new product embodiments.

[0254] The features disclosed in several method or device embodiments provided in this application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

[0255] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for constructing a contact feature library, characterized in that: The contact feature library construction method comprises: Collecting contact morphology of at least one relay sample to obtain at least one set of contact morphology images; Extracting the contact ablation area contour and roughness information corresponding to each group of contact topography images in the at least one group of contact topography images; Determine a plurality of characteristic parameters corresponding to each group of contact topography images according to the contact ablation area contour and roughness information corresponding to each group of contact topography images; wherein the characteristic parameters include one or more of area parameters, height parameters and volume parameters; Establishing a contact feature library according to the at least one group of contact morphology images and a plurality of feature parameters corresponding to each group of contact morphology images; The contact feature library construction method further includes: Determine a test condition corresponding to each of the at least one relay sample; wherein the type of the test condition includes at least one of the following: a DC disconnection type, a capacitive connection type, and an overload tolerance type; Determining a correspondence between the at least one group of contact morphology images and a test condition according to a correspondence between the at least one group of contact morphology images and the at least one relay sample; The step of establishing a contact feature library according to the at least one group of contact morphology images and a plurality of feature parameters corresponding to each group of contact morphology images comprises: The contact feature library is established based on the correspondence between the at least one group of contact morphology images and the test conditions and the multiple characteristic parameters corresponding to each group of contact morphology images; wherein the contact feature library is used to record the correspondence between the test conditions, the contact morphology images and the multiple characteristic parameters.

2. The contact feature library construction method according to claim 1, characterized in that: Determining the test working condition corresponding to each of the at least one relay sample comprises: When the test operating condition corresponding to the first relay sample is a DC disconnection type, determining a sub-operating condition type under the DC disconnection type corresponding to the first relay sample according to the voltage level, current level and number of operations corresponding to the first relay sample; When the test operating condition corresponding to the first relay sample is a capacitive connection type, determining a sub-operating condition type under the capacitive connection type corresponding to the first relay sample according to the voltage level, current level, number of operations and capacitive load parameters corresponding to the first relay sample; When the test operating condition corresponding to the first relay sample is an overload tolerance type, determining a sub-operating condition type corresponding to the capacitive connection type corresponding to the first relay sample according to the voltage level and the current level corresponding to the first relay sample; The first relay sample is any one of the at least one relay sample.

3. The contact feature library construction method according to claim 1, characterized in that: After establishing the contact feature library, the contact feature library construction method further includes: Acquire a second relay sample obtained under a first test condition; wherein the first test condition is different from the test condition included in the contact feature library; Performing contact morphology collection on the second relay sample to obtain a new set of contact morphology images; Extracting a plurality of new feature parameters corresponding to the set of new contact morphology images; Adding the first test condition, the set of new contact morphology images, and the plurality of new feature parameters to the contact feature library; The contact feature library is further used to record the corresponding relationship between the first test condition and the set of new contact morphology images and the multiple new feature parameters.

4. The contact feature library construction method according to claim 1, characterized in that: After establishing the contact feature library, the contact feature library construction method further includes: Collect contact morphology of the relay sample to be identified, and obtain a set of contact morphology images to be identified; Extracting a plurality of feature parameters to be identified corresponding to the set of contact point morphology images to be identified; Matching the contact feature library according to the set of contact morphology images to be identified and the plurality of feature parameters to be identified; When target data information matching the group of contact morphology images to be identified and the plurality of feature parameters to be identified is identified in the contact feature library, the operating condition type of the relay sample to be identified is determined according to the test conditions corresponding to the target data information.

5. The contact feature library construction method according to claim 4, characterized in that: After matching the set of to-be-identified contact morphology images and the plurality of to-be-identified feature parameters with the contact feature library, the contact feature library construction method further includes: When target data information matching the set of contact morphology images to be identified and the plurality of feature parameters to be identified is not identified in the contact feature library, determining a second test condition corresponding to the relay sample to be identified; Adding the second test condition, the set of contact morphology images to be identified, and the plurality of feature parameters to be identified to the contact feature library; The contact feature library is further used to record the corresponding relationship between the second test condition and the set of contact morphology images to be identified and the multiple feature parameters to be identified.

6. The contact feature library construction method according to claim 1, characterized in that: The contact feature library construction method further includes: Determine the relay serial number to be retrieved; The contact feature library is searched according to the relay serial number to obtain data information corresponding to the relay serial number; wherein the data information includes a test condition, a contact morphology image and a plurality of characteristic parameters corresponding to the relay serial number.

7. The method for constructing a contact feature library according to any one of claims 1 to 6, characterized in that: The contact feature library construction method further includes: The contact feature library is stored in the form of a database.

8. A contact feature library system, characterized in that: The contact feature library system includes an upload module and a storage module, wherein: The uploading module is used to upload the at least one group of contact morphology images and the multiple characteristic parameters corresponding to each group of contact morphology images to the storage module after acquiring at least one group of contact morphology images corresponding to at least one relay sample and the multiple characteristic parameters corresponding to each group of contact morphology images; The storage module is used to store the contact feature library established by the contact feature library construction method according to any one of claims 1 to 7; wherein the contact feature library at least includes: the at least one group of contact morphology images and multiple feature parameters corresponding to each group of contact morphology images.

9. The contact feature library system according to claim 8, characterized in that: The uploading module is further used for uploading the test working condition corresponding to each of the at least one relay sample to the storage module after acquiring the test working condition corresponding to each of the at least one relay sample; The storage module is also used to store the contact feature library, and the contact feature library is used to record the corresponding relationship between the test conditions, the contact morphology image and a plurality of feature parameters.

10. The contact feature library system according to claim 9, characterized in that: The contact feature library system further includes an identification module, wherein: The identification module is used to match a group of contact morphology images to be identified and a plurality of characteristic parameters to be identified corresponding to the relay sample to be identified with the contact feature library in the storage module according to the group of contact morphology images to be identified and the plurality of characteristic parameters to be identified; when target data information matching the group of contact morphology images to be identified and the plurality of characteristic parameters to be identified is identified in the contact feature library, determine the operating condition type of the relay sample to be identified according to the test operating condition corresponding to the target data information.

11. The contact feature library system according to claim 9, characterized in that: The contact feature library system also includes a query module, wherein: The query module is used to retrieve the contact feature library in the storage module according to the relay number after obtaining the relay number to be retrieved, and obtain the data information corresponding to the relay number; wherein the data information includes the test conditions, contact morphology images and multiple characteristic parameters corresponding to the relay number.

12. A contact feature library construction device, characterized in that: The contact feature library construction device comprises a collection unit, an extraction unit and a construction unit, wherein: The acquisition unit is configured to acquire contact morphology of at least one relay sample to obtain at least one set of contact morphology images; The extraction unit is configured to extract the contact ablation area contour and roughness information corresponding to each group of contact topography images in the at least one group of contact topography images; and determine a plurality of characteristic parameters corresponding to each group of contact topography images according to the contact ablation area contour and roughness information corresponding to each group of contact topography images; wherein the characteristic parameters include one or more of area parameters, height parameters and volume parameters; The establishing unit is configured to establish a contact feature library according to the at least one group of contact morphology images and a plurality of feature parameters corresponding to each group of contact morphology images; The establishing unit is further configured to determine the test conditions corresponding to each of the at least one relay sample; wherein the type of the test conditions includes at least one of the following: a DC disconnection type, a capacitive connection type, and an overload tolerance type; based on the correspondence between the at least one group of contact morphology images and the at least one relay sample, determine the correspondence between the at least one group of contact morphology images and the test conditions; and establish the contact feature library based on the correspondence between the at least one group of contact morphology images and the test conditions and the multiple feature parameters corresponding to each group of contact morphology images; wherein the contact feature library is used to record the correspondence between the test conditions, the contact morphology images, and the multiple feature parameters.

13. An electronic device, characterized in that: The electronic device comprises a memory and a processor, wherein: The memory is used to store a computer program that can be run on the processor; The processor is used to execute the steps of the contact feature library construction method according to any one of claims 1 to 7 when running the computer program.

14. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the contact feature library construction method according to any one of claims 1 to 7 are implemented.

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