Device component identification method, device, computer equipment, and storage medium

Abstract

The present application relates to a method, apparatus, computer equipment, storage medium and computer program product for identifying a device component. The method comprises: when a magnetic identification component of a component to be identified is detected, the physical structure and magnetic field strength of the magnetic identification component are detected to obtain a magnetic signal of the magnetic identification component, wherein the magnetic identification component is made of a magnetically sensitive material, and different magnetic identification components have different physical structures and / or magnetic field strengths; parsing the magnetic signal to obtain component information corresponding to the magnetic signal; and determining that the component to be identified is a component corresponding to the component information based on a preset correspondence between the component information and the component. The use of this method can improve the accuracy and efficiency of component identification.

Description

Technical Field

[0001] The present application relates to the field of industrial automation technology, and in particular to a method, apparatus, computer equipment, storage medium and computer program product for identifying a device component. Background Art

[0002] With the advancement of science and technology and the development of the information age, in the field of industrial automation, the consistency of process control and product quality can be guaranteed and production efficiency can be improved through full-process information management. There are usually a large number of equipment components in industrial processes, so the identification of equipment components affects the feasibility and efficiency of full-process information management.

[0003] In traditional technology, the identification of equipment components is performed based on optical principles. However, in complex environments such as oily, dusty, vibrating, poor lighting, narrow spaces, and interference from debris, optical identification is difficult, has poor accuracy, and is inefficient. Summary of the invention

[0004] Based on this, it is necessary to provide a method, apparatus, computer device, computer-readable storage medium and computer program product for identifying device components that can improve recognition accuracy and efficiency in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for identifying a device component, comprising:

[0006] In the case where a magnetic identification component of a component to be identified is detected, the physical structure and magnetic field strength of the magnetic identification component are detected to obtain a magnetic signal of the magnetic identification component, wherein the magnetic identification component is made of a magnetically sensitive material, and different magnetic identification components have different physical structures and / or magnetic field strengths;

[0007] parsing the magnetic signal to obtain component information corresponding to the magnetic signal;

[0008] According to the preset correspondence between component information and components, it is determined that the component to be identified is the component corresponding to the component information.

[0009] In one embodiment, the component information includes a component code, and the parsing of the magnetic signal to obtain the component information corresponding to the magnetic signal includes:

[0010] Determining a target feature type corresponding to the magnetic identification component from preset feature types, where different physical structures and / or magnetic field strengths correspond to different preset feature types;

[0011] Determine the association relationship between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determine the component code corresponding to the magnetic signal based on the association relationship and the signal feature.

[0012] In one embodiment, the preset feature type includes regional depth, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes:

[0013] In the case where the target feature type is regional depth, determining regional depth information of the magnetic identification component according to the signal groove depth of the magnetic signal;

[0014] Based on the association between the area depth and the coded character, the component code corresponding to the area depth information is determined.

[0015] In one embodiment, the preset feature type includes area width, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes:

[0016] In the case where the target feature type is area width, determining the area width information of the magnetic identification component according to the signal groove width of the magnetic signal;

[0017] Based on the association between the area width and the coded character, the component code corresponding to the area width information is determined.

[0018] In one embodiment, the preset feature type includes the region length, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes:

[0019] In the case where the target feature type is region length, determining region length information of the magnetic identification component according to the signal groove length of the magnetic signal;

[0020] Based on the association between the region length and the coded character, the component code corresponding to the region length information is determined.

[0021] In one embodiment, the preset feature type includes magnetic field strength, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes:

[0022] In the case where the target feature type is magnetic field strength, determining the magnetic field strength information of the magnetic identification component according to the signal strength distribution of the magnetic signal;

[0023] Based on the association between the magnetic field strength and the coded character, the component code corresponding to the magnetic field strength information is determined.

[0024] In one embodiment, the component information includes a component code, and the component code is generated by:

[0025] Acquire component feature information of the component to be identified;

[0026] The component characteristic information is encoded according to a preset encoding format to obtain a component code corresponding to the component to be identified.

[0027] In one embodiment, the analyzing the magnetic signal to obtain component information corresponding to the magnetic signal includes:

[0028] Extracting the magnetic signal using a preset signal extraction algorithm to obtain a target signal, wherein the preset signal extraction algorithm is determined based on information distribution data in the magnetic signal;

[0029] The target signal is analyzed to obtain component information corresponding to the magnetic signal.

[0030] In a second aspect, the present application also provides a device for identifying a device component, comprising:

[0031] A detection module, for detecting the physical structure and magnetic field strength of the magnetic identification component of the component to be identified, and obtaining a magnetic signal of the magnetic identification component, wherein the magnetic identification component is made of a magnetically sensitive material, and different magnetic identification components have different physical structures and / or magnetic field strengths;

[0032] An analysis module, used for analyzing the magnetic signal to obtain component information corresponding to the magnetic signal;

[0033] The determination module is used to determine, based on a preset correspondence between component information and components, that the component to be identified is the component corresponding to the component information.

[0034] In one embodiment, the component information includes a component code, and the parsing module is further configured to:

[0035] Determining a target feature type corresponding to the magnetic identification component from preset feature types, where different physical structures and / or magnetic field strengths correspond to different preset feature types;

[0036] Determine the association relationship between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determine the component code corresponding to the magnetic signal based on the association relationship and the signal feature.

[0037] In one embodiment, the preset feature type includes area depth, and the parsing module is further configured to:

[0038] In the case where the target feature type is regional depth, determining regional depth information of the magnetic identification component according to the signal groove depth of the magnetic signal;

[0039] Based on the association between the area depth and the coded character, the component code corresponding to the area depth information is determined.

[0040] In one embodiment, the preset feature type includes region width, and the parsing module is further configured to:

[0041] In the case where the target feature type is area width, determining the area width information of the magnetic identification component according to the signal groove width of the magnetic signal;

[0042] Based on the association between the area width and the coded character, the component code corresponding to the area width information is determined.

[0043] In one embodiment, the preset feature type includes region length, and the parsing module is further configured to:

[0044] In the case where the target feature type is region length, determining region length information of the magnetic identification component according to the signal groove length of the magnetic signal;

[0045] Based on the association between the region length and the coded character, the component code corresponding to the region length information is determined.

[0046] In one embodiment, the preset feature type includes magnetic field strength, and the analysis module is further used to:

[0047] In the case where the target feature type is magnetic field strength, determining the magnetic field strength information of the magnetic identification component according to the signal strength distribution of the magnetic signal;

[0048] Based on the association between the magnetic field strength and the coded character, the component code corresponding to the magnetic field strength information is determined.

[0049] In one embodiment, the component information includes a component code, the apparatus includes a module for generating the component code, and the module for generating the component code includes:

[0050] An acquisition submodule, used to acquire component feature information of the component to be identified;

[0051] The encoding submodule is used to encode the component characteristic information according to a preset encoding format to obtain a component code corresponding to the component to be identified.

[0052] In one embodiment, the parsing module is further used to:

[0053] Extracting the magnetic signal using a preset signal extraction algorithm to obtain a target signal, wherein the preset signal extraction algorithm is determined based on information distribution data in the magnetic signal;

[0054] The target signal is analyzed to obtain component information corresponding to the magnetic signal.

[0055] In a third aspect, an embodiment of the present disclosure further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the embodiments of the present disclosure are implemented.

[0056] In a fourth aspect, the embodiments of the present disclosure further provide a computer-readable storage medium, wherein a computer program is stored thereon, and when the computer program is executed by a processor, the steps of any one of the methods in the embodiments of the present disclosure are implemented.

[0057] In a fifth aspect, the embodiments of the present disclosure further provide a computer program product, wherein the computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the embodiments of the present disclosure are implemented.

[0058] The above-mentioned device component identification method, device, computer device, storage medium and computer program product, when identifying the device component, detects the physical structure and magnetic field strength of the magnetic identification component when the magnetic identification component of the component to be identified is detected, and obtains the magnetic signal of the magnetic identification component. Since different magnetic identification components are provided with different physical structures and / or magnetic field strengths, the component information of the magnetic signal can be obtained by analyzing the magnetic signal. Based on the correspondence between the preset component information and the component, the component to be identified is determined to be the component corresponding to the component information, thereby realizing the identification of the device component. By setting the physical structure and / or magnetic field strength of the magnetic identification component, the device component information can be recorded in a magnetically perceptible manner. When performing component identification, the corresponding component information can be determined by the magnetic signal of the magnetic identification component, and the component to be identified can be identified efficiently and accurately; since the magnetic signal is less affected by the surrounding environment, it can realize fast and accurate component identification in complex environment scenes such as oily, dusty, vibrating, poor lighting, narrow space, etc., and is suitable for a variety of application scenarios; and in the scene involving the identification of the device component in motion, the magnetic signal sensing area is large and the sensitivity is high, which can accurately realize the acquisition of the signal and the identification of the component. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 is a schematic flow chart of a method for identifying a device component in one embodiment;

[0061] Figure 2 is a flow chart of a method for identifying a device component in another embodiment;

[0062] Figure 3 is a schematic diagram of a magnetic identification component in one embodiment;

[0063] Figure 4 is a schematic diagram of a magnetic identification component in another embodiment;

[0064] Figure 5 is a schematic diagram of a magnetic identification component in another embodiment;

[0065] Figure 6 is a schematic diagram of a magnetic identification component in another embodiment;

[0066] Figure 7 is a schematic diagram of an identification system for a device component in one embodiment;

[0067] Figure 8 is a structural block diagram of an identification device for a device component in one embodiment;

[0068] Fig. 9 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0070] In one embodiment, Figure 1 As shown, a method for identifying a device component is provided. This embodiment uses the method applied to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0071] Step S110, when a magnetic identification component of a component to be identified is detected, the physical structure and magnetic field strength of the magnetic identification component are detected to obtain a magnetic signal of the magnetic identification component, wherein the magnetic identification component is made of a magnetically sensitive material, and different magnetic identification components have different physical structures and / or magnetic field strengths;

[0072] Exemplarily, the components to be identified may include industrial equipment components, including but not limited to mechanical components, electrical components, instrument components, etc., which may be determined based on actual application scenarios. The magnetic identification component may be a component of the component to be identified. In one example, the magnetic identification component may be an identification component installed on the component to be identified, such as a sign.

[0073] Optionally, the magnetic identification component is made of a magnetically sensitive material, such as a magnetic iron plate. Different magnetic identification components have different physical structures and / or magnetic field strengths, wherein different magnetic identification components may be magnetic identification components of different components, and the physical structures and / or magnetic field strengths of the magnetic identification components of different components are different. The physical structure may include but is not limited to the size and shape of the magnetic identification component. The magnetic field strength of the identification component can be set and adjusted by using different magnetic materials, setting different magnetization durations during magnetization, using different magnetization processes during magnetization, etc.

[0074] In some possible implementations, the physical structure and / or magnetic field strength of different component areas on the magnetic identification component are different. Different component areas on the magnetic identification component can respectively represent different parts of the component information of the component to be identified. Therefore, the corresponding relationship between the magnetic identification component and the component information can be set by setting the physical structure and / or magnetic field strength of the component area on the magnetic identification component. In one example, different magnetic identification components have the same physical structure and different magnetic field strengths; in another example, different magnetic identification components have different physical structures and the same magnetic field strengths; in another example, different magnetic identification components have different physical structures and different magnetic field strengths; the specific setting can be obtained according to the actual application scenario.

[0075] By detecting the physical structure and magnetic field strength of the magnetic identification component, the magnetic signal of the magnetic identification component can be obtained. Optionally, the magnetic signal can be obtained by detecting it through a magnetic signal receptor. When the magnetic identification component is within the sensing range of the magnetic signal receptor, the magnetic signal receptor detects the physical structure and magnetic field strength of the magnetic identification component to obtain a magnetic signal. In one example, the magnetic signal receptor can be composed of a material with magnetic induction and a sensor. For example, a Hall element can be used as a magnetic signal receptor.

[0076] Step S120, analyzing the magnetic signal to obtain component information corresponding to the magnetic signal;

[0077] Exemplarily, after acquiring the magnetic signal, the magnetic signal is analyzed to obtain the component information corresponding to the magnetic signal. Since the magnetic identification component is made of magnetically sensitive materials and the physical structure and / or magnetic field strength of the magnetic identification component are different, the obtained magnetic signal will also correspond to different signal characteristics. By analyzing the magnetic signal, the component information corresponding to the magnetic signal can be obtained.

[0078] In one example, the physical structure and / or magnetic field strength of the magnetic identification component is set based on the component information of the component to be identified, so the corresponding component information can be determined based on the physical structure and / or magnetic field strength of the magnetic identification component. When analyzing the magnetic signal, the signal can be analyzed based on the signal characteristics of the magnetic signal to obtain the physical structure and / or magnetic field strength of the magnetic identification component, and then the corresponding component information can be determined.

[0079] Optionally, the component information may include a component code, and the information used to identify the component to be identified is converted into coding information, that is, the component code corresponding to the component to be identified. Based on the component code, it is possible to determine which component the component to be identified is, thereby realizing the identification of the component to be identified. In an example, the component code may include but is not limited to a pure numeric code, a pure English character code, a mixed code, etc., which may be determined based on the actual application scenario.

[0080] In a possible implementation, the magnetic signal may be converted into an electrical signal or a digital signal, and the signal may be analyzed to obtain corresponding component information.

[0081] Step S130: determining, based on a preset correspondence between component information and components, that the component to be identified is a component corresponding to the component information.

[0082] For example, the correspondence between component information and components can be set in advance according to the actual application scenario, different components correspond to different component information, and the corresponding component can be determined based on the component information. When performing component identification, the component corresponding to the component information can be determined based on the correspondence between the component information and the components, and the component to be identified is the component corresponding to the component information.

[0083] In one example, the component information may include a component code, and different components may correspond to different component codes. The component code corresponding to the magnetic identification component can be obtained by analyzing the magnetic signal. Based on the correspondence between the preset component information and the components, it can be determined that the component to be identified is the component corresponding to the component code.

[0084] In the embodiment of the present disclosure, when identifying the device component, when the magnetic identification component of the component to be identified is detected, the physical structure and magnetic field strength of the magnetic identification component are detected to obtain the magnetic signal of the magnetic identification component. Since different magnetic identification components are provided with different physical structures and / or magnetic field strengths, the component information of the magnetic signal can be obtained by analyzing the magnetic signal. Based on the correspondence between the preset component information and the component, the component to be identified is determined to be the component corresponding to the component information, thereby realizing the identification of the device component. By setting the physical structure and / or magnetic field strength of the magnetic identification component, the device component information can be recorded in a magnetically perceptible manner. When identifying the component, the corresponding component information can be determined by the magnetic signal of the magnetic identification component, and the component to be identified can be identified efficiently and accurately. Since the magnetic signal is less affected by the surrounding environment, it can realize fast and accurate component identification in complex environment scenes such as oily, dusty, vibrating, poor lighting, and narrow space, and is suitable for a variety of application scenarios. In the scene involving the identification of the device component in motion, the magnetic signal sensing area is large and the sensitivity is high, which can accurately realize the acquisition of the signal and the identification of the component.

[0085] In one embodiment, Figure 2 As shown, the component information includes a component code, and the parsing of the magnetic signal to obtain the component information corresponding to the magnetic signal includes:

[0086] Step S121, determining the target feature type corresponding to the magnetic identification component from preset feature types, where different physical structures and / or magnetic field strengths correspond to different preset feature types;

[0087] Step S122, determining the association relationship between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association relationship and the signal feature.

[0088] Exemplarily, the physical structure and / or magnetic field strength of the magnetic identification component is obtained according to the component information setting, wherein the physical structure includes but is not limited to the size, shape, etc. of the magnetic identification component. By setting one or more of the physical structures and / or magnetic field strengths, the correspondence between the component information and the signal characteristics of the magnetic signal can be achieved. In one example, different physical structures and / or magnetic field strengths correspond to different preset feature types, and the preset feature types may include but are not limited to regional depth, regional width, regional length, magnetic field strength, etc., which can be determined based on the actual application scenario. In a possible implementation, multiple physical structures and / or magnetic field strengths can also be set at the same time, and the preset feature types include but are not limited to regional depth and magnetic field strength, regional width and magnetic field strength, regional length and magnetic field strength, regional depth and regional width, etc., which can be determined based on the actual application scenario.

[0089] When analyzing the magnetic signal, first determine the target feature type corresponding to the magnetic identification component. In one example, the target feature type corresponding to the magnetic identification component can be determined by identifying the physical structure and / or magnetic field strength of the magnetic identification component. In another example, the target feature type of the magnetic identification component can be set in advance by the user. When performing identification and analysis, the setting information is directly obtained to obtain the target feature type of the magnetic identification component.

[0090] Determine the component code corresponding to the magnetic signal according to the target feature type and the signal feature of the magnetic signal. Optionally, by analyzing the magnetic signal, different signal features can be determined, and different target feature types can correspond to different signal features. For example, when the target feature type is regional depth, the corresponding signal feature can be the signal groove depth information of the magnetic signal; when the target feature type is regional depth and magnetic field strength, the corresponding signal feature can be the signal groove depth information and magnetic field strength information of the magnetic signal. Determine the association between the signal feature and the coded character, and based on the association and the signal feature, determine the component code corresponding to the magnetic signal.

[0091] In one example, when setting a magnetic identification component, the physical structure and / or magnetic field strength of the magnetic identification component is processed according to the component coding information and the target feature type, and there is a corresponding relationship between the component coding and the physical structure and / or magnetic field strength of the magnetic identification component. For example, when the target feature type is the regional depth, the regional depth of the magnetic identification component is set according to the component coding so that the regional depth of the magnetic identification component matches the component coding; when the target feature type is the regional depth and magnetic field strength, the regional depth and magnetic field strength of the magnetic identification component are set according to the component coding so that the regional depth and magnetic field strength of the magnetic identification component match the component coding.

[0092] In a possible implementation, a correspondence between the coded characters and the physical structure of the magnetic identification component can be set, and a correspondence between the coded characters and the magnetic field strength of the magnetic identification component can also be set. When analyzing and identifying the magnetic signal, the physical structure and / or magnetic field strength of the magnetic identification component is determined based on the signal characteristics of the magnetic signal, and then the component code corresponding to the magnetic signal is determined based on the corresponding coded characters.

[0093] In the embodiments of the present disclosure, when parsing a magnetic signal, the component code corresponding to the magnetic signal is determined according to the target feature type corresponding to the magnetic identification component and the signal characteristics of the magnetic signal. Thus, based on different feature types, the component code corresponding to the magnetic signal can be determined, the component information corresponding to the magnetic identification component can be determined quickly and accurately, and accurate identification of the component to be identified can be achieved.

[0094] In one embodiment, the preset feature type includes area depth, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes:

[0095] In the case where the target feature type is regional depth, determining regional depth information of the magnetic identification component according to the signal groove depth of the magnetic signal;

[0096] Based on the association between the area depth and the coded character, the component code corresponding to the area depth information is determined.

[0097] Exemplarily, the preset feature type includes regional depth. The regional depth information of the magnetic identification module is different, and the signal characteristics of the corresponding magnetic signal are also different. Therefore, the component information can be distinguished by setting the regional depth of the magnetic identification component. The signal groove depth of the magnetic signal of the magnetic identification component corresponds to the regional depth of the magnetic identification component. The regional depth information of the magnetic identification component is determined according to the signal groove depth of the magnetic signal.

[0098] In a possible implementation, different area depths may correspond to different coded characters. In one example, the magnetic identification component may include at least one sub-area, and the arrangement of the sub-areas corresponds to the character arrangement of the component code. When generating the magnetic identification component, the depth of the sub-area may be processed according to the coded characters in the component code corresponding to the different sub-areas to obtain the magnetic identification component corresponding to the component code.

[0099] Exemplarily, since the magnetic identification component is made of magnetically sensitive materials, the regional depth of the magnetic identification component is different, and the signal groove depth of the corresponding magnetic signal is also different. Based on the signal groove depth of the magnetic signal, the regional depth information of the magnetic identification component is determined. In one example, an association is set between the regional depth and the coded character. According to the regional depth information parsed from the magnetic signal, the component code corresponding to the regional depth information can be determined, that is, the component code corresponding to the collected magnetic signal.

[0100] Figure 3 This is a schematic diagram of a magnetic identification component according to an exemplary embodiment. Taking the component coding as a binary code as an example, the coding characters include 0 and 1, and 0 and 1 correspond to different regional depths. When generating a magnetic identification component, stripes with different depths are etched on the magnetic identification component according to the component coding of the component to be identified with the same width and spacing to obtain the magnetic identification component of the component to be identified. For example, stripes with two depths of 0.1mm and 0.2mm are etched, and the 0.1mm deep stripe identifies 0, and the 0.2mm deep stripe identifies 1. When identifying, the signal groove depths of the magnetic signal corresponding to stripes of different depths are different, thereby realizing the identification of the component coding.

[0101] In the disclosed embodiments, when the target feature type corresponding to the magnetic identification component is regional depth, the regional depth information of the magnetic identification component is determined according to the signal groove depth of the magnetic signal, and the component code corresponding to the regional depth information is determined based on the association between the regional depth and the coding character. Therefore, by setting the regional depth of the magnetic identification component, when performing identification, the corresponding component code can be determined according to the signal groove depth of the magnetic signal. Based on the association between the regional depth and the coding character, the component information can be determined quickly and accurately, thereby ensuring the accuracy and reliability of component identification, and being suitable for more application scenarios.

[0102] In one embodiment, the preset feature type includes an area width, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes:

[0103] In the case where the target feature type is area width, determining the area width information of the magnetic identification component according to the signal groove width of the magnetic signal;

[0104] Based on the association between the area width and the coded character, the component code corresponding to the area width information is determined.

[0105] Exemplarily, the preset feature type includes area width. The area width information of the magnetic identification module is different, and the signal characteristics of the corresponding magnetic signal are also different. Therefore, the component information can be distinguished by setting the area width of the magnetic identification component. The signal groove width of the magnetic signal of the magnetic identification component corresponds to the area width of the magnetic identification component. The area width information of the magnetic identification component is determined according to the signal groove width of the magnetic signal.

[0106] In a possible implementation, different area widths may correspond to different coded characters. In one example, the magnetic identification component may include at least one sub-area, and the arrangement of the sub-areas corresponds to the character arrangement of the component code. When generating the magnetic identification component, the width of the sub-area may be processed according to the coded characters in the component code corresponding to different sub-areas to obtain the magnetic identification component corresponding to the component code.

[0107] Exemplarily, since the magnetic identification component is made of magnetically sensitive materials, the area width of the magnetic identification component is different, and the signal groove width of the corresponding magnetic signal is also different. Based on the signal groove width of the magnetic signal, the area width information of the magnetic identification component is determined. In one example, an association is set between the area width and the coded character. According to the area width information parsed from the magnetic signal, the component code corresponding to the area width information can be determined, that is, the component code corresponding to the collected magnetic signal.

[0108] Figure 4 This is a schematic diagram of a magnetic identification component according to an exemplary embodiment. Taking the component coding as a binary code as an example, the coding characters include 0 and 1, and 0 and 1 correspond to different area widths. When generating a magnetic identification component, stripes with different widths are etched on the magnetic identification component at the same depth and spacing according to the component coding of the component to be identified, so as to obtain the magnetic identification component of the component to be identified. For example, stripes with two widths of 0.1mm and 0.2mm are etched, and the 0.1mm width stripe identifies 0, and the 0.2mm width stripe identifies 1. When identifying, the signal groove widths of the magnetic signal corresponding to stripes of different widths are different, thereby realizing the identification of the component coding.

[0109] In the disclosed embodiments, when the target feature type corresponding to the magnetic identification component is the area width, the area width information of the magnetic identification component is determined according to the signal groove width of the magnetic signal, and the component code corresponding to the area width information is determined based on the association between the area width and the coding character. Thus, by setting the area width of the magnetic identification component, when performing identification, the corresponding component code can be determined according to the signal groove width of the magnetic signal. Based on the association between the area width and the coding character, the component information can be determined quickly and accurately, thereby ensuring the accuracy and reliability of component identification, and being suitable for more application scenarios.

[0110] In one embodiment, the preset feature type includes the region length, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes:

[0111] In the case where the target feature type is region length, determining region length information of the magnetic identification component according to the signal groove length of the magnetic signal;

[0112] Based on the association between the region length and the coded character, the component code corresponding to the region length information is determined.

[0113] Exemplarily, the preset feature type includes the area length. The area length information of the magnetic identification module is different, and the signal characteristics of the corresponding magnetic signal are also different. Therefore, the component information can be distinguished by setting the area length of the magnetic identification component. The signal groove length of the magnetic signal of the magnetic identification component corresponds to the area length of the magnetic identification component. The area length information of the magnetic identification component is determined according to the signal groove length of the magnetic signal.

[0114] In a possible implementation, different region lengths may correspond to different coded characters. In one example, the magnetic identification component may include at least one sub-region, and the arrangement of the sub-regions corresponds to the character arrangement of the component code. When generating the magnetic identification component, the length of the sub-region may be processed according to the coded characters in the component code corresponding to the different sub-regions to obtain the magnetic identification component corresponding to the component code.

[0115] Exemplarily, since the magnetic identification component is made of magnetically sensitive materials, the area length of the magnetic identification component is different, and the signal groove length of the corresponding magnetic signal is also different. Based on the signal groove length of the magnetic signal, the area length information of the magnetic identification component is determined. In one example, an association is set between the area length and the coded character. According to the area length information parsed from the magnetic signal, the component code corresponding to the area length information can be determined, that is, the component code corresponding to the collected magnetic signal.

[0116] Figure 5 This is a schematic diagram of a magnetic identification component according to an exemplary embodiment. Taking the component coding as a binary code as an example, the coding characters include 0 and 1, and 0 and 1 correspond to different area lengths. When generating a magnetic identification component, stripes of different lengths are etched on the magnetic identification component according to the component coding of the component to be identified with the same width, depth and spacing to obtain the magnetic identification component of the component to be identified. For example, stripes of two depths of 0.3mm and 0.6mm are etched, and the 0.3mm deep stripe identifies 0, and the 0.6mm deep stripe identifies 1. When identifying, the signal groove lengths of the magnetic signal corresponding to stripes of different lengths are different, thereby realizing the identification of the component coding.

[0117] In the disclosed embodiments, when the target feature type corresponding to the magnetic identification component is the area length, the area length information of the magnetic identification component is determined according to the signal groove length of the magnetic signal, and the component code corresponding to the area length information is determined based on the association between the area length and the coding character. Thus, by setting the area length of the magnetic identification component, when performing identification, the corresponding component code can be determined according to the signal groove length of the magnetic signal. Based on the association between the area length and the coding character, rapid and accurate determination of the component information is achieved, thereby ensuring the accuracy and reliability of component identification, and being suitable for more application scenarios.

[0118] In one embodiment, the preset feature type includes magnetic field strength, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes:

[0119] In the case where the target feature type is magnetic field strength, determining the magnetic field strength information of the magnetic identification component according to the signal strength distribution of the magnetic signal;

[0120] Based on the association between the magnetic field strength and the coded character, the component code corresponding to the magnetic field strength information is determined.

[0121] Exemplarily, the preset feature type includes magnetic field strength. The magnetic field strength information of the magnetic identification module is different, and the signal characteristics of the corresponding magnetic signal are also different. Therefore, the component information can be distinguished by setting the magnetic field strength of the magnetic identification component. The signal strength distribution of the magnetic signal of the magnetic identification component corresponds to the magnetic field strength of the magnetic identification component. The magnetic field strength information of the magnetic identification component is determined according to the signal strength distribution of the magnetic signal.

[0122] In a possible implementation, different magnetic field strengths may correspond to different coded characters. In one example, the magnetic identification component may include at least one sub-region, and the arrangement of the sub-regions corresponds to the character arrangement of the component code. When generating the magnetic identification component, the magnetic field strength of the sub-region may be processed according to the coded characters in the component code corresponding to different sub-regions to obtain the magnetic identification component corresponding to the component code.

[0123] Exemplarily, since the magnetic identification component is made of magnetically sensitive materials, the magnetic field strength of the magnetic identification component is different, and the signal strength distribution of the corresponding magnetic signal is also different. The magnetic field strength information of the magnetic identification component is determined based on the signal strength distribution of the magnetic signal. In one example, an association is set between the magnetic field strength and the coded character. According to the magnetic field strength information parsed from the magnetic signal, the component code corresponding to the magnetic field strength information can be determined, that is, the component code corresponding to the collected magnetic signal.

[0124] Figure 6 This is a schematic diagram of a magnetic identification component according to an exemplary embodiment. Taking the component coding as a binary code as an example, the coding characters include 0 and 1, and 0 and 1 correspond to different area depths. When generating a magnetic identification component, the area corresponding to the magnetic field strength is arranged on the magnetic identification component according to the component coding of the component to be identified, and the magnetic identification component of the component to be identified is obtained. For example, a weak magnetic field is used to represent 0, and a strong magnetic field is used to represent 1. When identifying, the signal strength distribution of the magnetic signal corresponding to different magnetic fields is different, showing a hump shape with different strengths, thereby realizing the identification of the component code.

[0125] In the disclosed embodiments, when the target feature type corresponding to the magnetic identification component is magnetic field strength, the magnetic field strength information of the magnetic identification component is determined according to the signal strength distribution of the magnetic signal, and the component code corresponding to the magnetic field strength information is determined based on the association between the magnetic field strength and the coding characters. Thus, by setting the magnetic field strength of the magnetic identification component, when performing identification, the corresponding component code can be determined according to the signal strength distribution of the magnetic signal. Based on the association between the magnetic field strength and the coding characters, rapid and accurate determination of the component information is achieved, thereby ensuring the accuracy and reliability of component identification, and being suitable for more application scenarios.

[0126] In one embodiment, the component information includes a component code, and the component code is generated in a manner including:

[0127] Acquire component feature information of the component to be identified;

[0128] The component characteristic information is encoded according to a preset encoding format to obtain a component code corresponding to the component to be identified.

[0129] Exemplarily, the component code is determined based on the component characteristic information of the component. The component characteristic information of the component to be identified is obtained, wherein the component characteristic information may include but is not limited to the component name, component attributes, component purpose, the device to which the component belongs, etc., which can be determined based on the actual application scenario. The component characteristic information is used to distinguish the component from other components, and the corresponding component can be determined based on the component characteristic information.

[0130] The component characteristic information is encoded according to a preset encoding format to obtain a component code corresponding to the component to be identified, wherein the preset encoding format can be determined according to an actual application scenario, for example, the preset encoding format can be set to an n-bit digital sequence, an ASCII encoding format, etc., where n is a positive integer. In an example, the component characteristic information can be converted into a string represented by characters such as numbers or letters, and the string can be converted into a component code. For example, the string can be converted into a binary code.

[0131] Taking the conversion of a digital string as an example, the component feature information is converted into a string "8", which is further converted into a binary code "00001000". The binary code is the component code corresponding to the device to be identified.

[0132] In the disclosed embodiment, the component characteristic information of the component to be identified is encoded in accordance with a preset encoding format to obtain a component code, thereby being able to obtain a component code that matches the component to be identified. This ensures the correspondence between the component code and the component, while facilitating the establishment of an association between the component code and the physical structure and / or magnetic field strength of the magnetic identification component, and is able to reflect the component characteristic information on the magnetic signal, thereby achieving efficient and accurate identification of the component in a magnetically sensible manner.

[0133] In one embodiment, the analyzing the magnetic signal to obtain component information corresponding to the magnetic signal includes:

[0134] Extracting the magnetic signal using a preset signal extraction algorithm to obtain a target signal, wherein the preset signal extraction algorithm is determined based on information distribution data in the magnetic signal;

[0135] The target signal is analyzed to obtain component information corresponding to the magnetic signal.

[0136] Exemplarily, when analyzing magnetic signals, signal extraction is required. The preset signal extraction algorithm can be determined based on the information distribution data in the magnetic signal, including but not limited to filtering algorithms, denoising algorithms, etc. The information distribution data includes but is not limited to the time domain distribution and frequency domain distribution of the information.

[0137] In one example, the magnetic signal may include a carrier signal and an effective coding signal, wherein the carrier signal is an auxiliary signal required to obtain or transmit the effective coding signal. Signal extraction is performed according to the signal characteristics of the carrier signal and the effective coding signal, and the effective coding signal, i.e., the target signal, is extracted from the magnetic signal. The target signal is parsed to obtain component information corresponding to the magnetic signal.

[0138] In one possible implementation, the magnetic signal includes a high-frequency signal and a low-frequency signal. The high-frequency signal contains more effective information. At this time, the information density of the high-frequency part of the magnetic signal is relatively high. Therefore, when performing signal extraction, the high-frequency signal can be extracted from the magnetic signal by filtering and the like to obtain the target signal. The filtering method includes but is not limited to Gaussian filtering, wavelet analysis, etc., which can be determined based on the actual application scenario.

[0139] In one example, affected by the surrounding environment, the collected magnetic signal may include some noise signals. When extracting the signal, a preset denoising algorithm can be used to denoise the magnetic signal to obtain the target signal, wherein the preset denoising algorithm can be determined according to the actual application scenario, including but not limited to an average filtering algorithm, a Fourier transform algorithm, etc.

[0140] In the embodiment of the present disclosure, when analyzing a magnetic signal, a target signal is first obtained through signal extraction, and then the target signal is analyzed to obtain component information corresponding to the magnetic signal. Effective information can be first extracted from the magnetic signal and then analyzed, thereby improving the accuracy and reliability of the component information obtained by signal analysis, avoiding component information identification errors caused by signal interference, noise, etc., thereby effectively improving the accuracy and reliability of component identification.

[0141] In some embodiments, the device component identification method is applied to a device component identification system. Figure 7The structural diagram of an identification system of a device component according to an exemplary embodiment is shown, wherein the identification system of the device component includes a component to be identified, a magnetic signal receptor 3, a magnetic signal receptor mounting base 4, and a signal processor 5, and the component to be identified includes a component base 1 and a magnetic identification component 2. Specifically, the component base is a target device component that needs to be identified and recognized; the magnetic identification component is a carrier that encodes and records the description information of the target device component according to certain rules, and the component information recorded on the magnetic identification component can be sensed and read by the magnetic signal receptor; the magnetic signal receptor can sense the magnetic identification component based on the magnetic perception principle, convert the component information recorded on the magnetic identification component into a magnetic signal, and further convert it into an electrical signal, and output it to the signal processor for signal processing; the magnetic signal receptor mounting base is a mounting carrier of the magnetic signal receptor; the signal processor processes the signal from the magnetic signal receptor and decodes it to obtain the component information. In one example, when identification is required, the magnetic identification component of the component to be identified is placed in the sensing area of ​​the magnetic signal receptor, and the magnetic signal receptor senses the magnetic signal of the magnetic identification component.

[0142] Optionally, the shape of the magnetic signal receptor is centered on ensuring that it can reliably sense the magnetic signal characteristics corresponding to the magnetic identification component. A different signal receptor shape can be designed for each characteristic, or an integrated design method can be used to design the same signal receptor to be compatible with different signal characterization methods. Figure 7 The shape of a signal receptor arranged in sequence along the direction of motion is given in the specification, which is used to sense magnetic signals characterized by area width information. A modular design method is adopted, and a plurality of magnetic signal receptors are grouped together and installed on a substrate, which is convenient for integration, disassembly, and maintenance, thereby reducing costs and improving reliability.

[0143] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0144] Based on the same inventive concept, the embodiment of the present application also provides a component device identification device for implementing the component device identification method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiment of the identification device for one or more component devices provided below can refer to the limitations of the component device identification method above, and will not be repeated here.

[0145] In an exemplary embodiment, Figure 8 As shown, a component device identification device 800 is provided, comprising:

[0146] The detection module 810 is used to detect the physical structure and magnetic field strength of the magnetic identification component of the component to be identified, and obtain the magnetic signal of the magnetic identification component, wherein the magnetic identification component is made of a magnetically sensitive material, and different magnetic identification components have different physical structures and / or magnetic field strengths;

[0147] An analysis module 820 is used to analyze the magnetic signal to obtain component information corresponding to the magnetic signal;

[0148] The determination module 830 is used to determine, based on a preset correspondence between component information and components, that the component to be identified is the component corresponding to the component information.

[0149] In one embodiment, the component information includes a component code, and the parsing module is further configured to:

[0150] Determining a target feature type corresponding to the magnetic identification component from preset feature types, where different physical structures and / or magnetic field strengths correspond to different preset feature types;

[0151] Determine the association relationship between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determine the component code corresponding to the magnetic signal based on the association relationship and the signal feature.

[0152] In one embodiment, the preset feature type includes area depth, and the parsing module is further configured to:

[0153] In the case where the target feature type is regional depth, determining regional depth information of the magnetic identification component according to the signal groove depth of the magnetic signal;

[0154] Based on the association between the area depth and the coded character, the component code corresponding to the area depth information is determined.

[0155] In one embodiment, the preset feature type includes region width, and the parsing module is further configured to:

[0156] In the case where the target feature type is area width, determining the area width information of the magnetic identification component according to the signal groove width of the magnetic signal;

[0157] Based on the association between the area width and the coded character, the component code corresponding to the area width information is determined.

[0158] In one embodiment, the preset feature type includes region length, and the parsing module is further configured to:

[0159] In the case where the target feature type is region length, determining region length information of the magnetic identification component according to the signal groove length of the magnetic signal;

[0160] Based on the association between the region length and the coded character, the component code corresponding to the region length information is determined.

[0161] In one embodiment, the preset feature type includes magnetic field strength, and the analysis module is further used to:

[0162] In the case where the target feature type is magnetic field strength, determining the magnetic field strength information of the magnetic identification component according to the signal strength distribution of the magnetic signal;

[0163] Based on the association between the magnetic field strength and the coded character, the component code corresponding to the magnetic field strength information is determined.

[0164] In one embodiment, the component information includes a component code, the apparatus includes a module for generating the component code, and the module for generating the component code includes:

[0165] An acquisition submodule, used to acquire component feature information of the component to be identified;

[0166] The encoding submodule is used to encode the component characteristic information according to a preset encoding format to obtain a component code corresponding to the component to be identified.

[0167] In one embodiment, the parsing module is further used to:

[0168] Extracting the magnetic signal using a preset signal extraction algorithm to obtain a target signal, wherein the preset signal extraction algorithm is determined based on information distribution data in the magnetic signal;

[0169] The target signal is analyzed to obtain component information corresponding to the magnetic signal.

[0170] Each module in the identification device of the above-mentioned component device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0171] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig. 9 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store component information and other data involved in the method described in this embodiment. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for identifying a component device is implemented.

[0172] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0173] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0174] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0175] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0176] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0177] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0178] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0179] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for identifying a device component, characterized in that: The method comprises: In the case where a magnetic identification component of a component to be identified is detected, the physical structure and magnetic field strength of the magnetic identification component are detected to obtain a magnetic signal of the magnetic identification component, wherein the magnetic identification component is made of a magnetically sensitive material, and different magnetic identification components have different physical structures and / or magnetic field strengths; parsing the magnetic signal to obtain component information corresponding to the magnetic signal; Wherein, the component information includes a component code, and the parsing of the magnetic signal to obtain the component information corresponding to the magnetic signal includes: determining a target feature type corresponding to the magnetic identification component from a preset feature type, where different physical structures and / or magnetic field strengths correspond to different preset feature types; determining an association relationship between a signal feature of the magnetic signal corresponding to the target feature type and a coding character, and determining a component code corresponding to the magnetic signal based on the association relationship and the signal feature; According to the preset correspondence between component information and components, it is determined that the component to be identified is the component corresponding to the component information.

2. The method according to claim 1, characterized in that The preset feature type includes the area depth, and the determining of the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes: In the case where the target feature type is regional depth, determining regional depth information of the magnetic identification component according to the signal groove depth of the magnetic signal; Based on the association between the area depth and the coded character, the component code corresponding to the area depth information is determined.

3. The method according to claim 1, characterized in that The preset feature type includes an area width, and determining an association relationship between a signal feature of a magnetic signal corresponding to the target feature type and a coded character, and determining a component code corresponding to the magnetic signal according to the association relationship and the signal feature, includes: In the case where the target feature type is area width, determining the area width information of the magnetic identification component according to the signal groove width of the magnetic signal; Based on the association between the area width and the coded character, the component code corresponding to the area width information is determined.

4. The method according to claim 1, characterized in that: The preset feature type includes an area length, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes: In the case where the target feature type is region length, determining region length information of the magnetic identification component according to the signal groove length of the magnetic signal; Based on the association between the region length and the coded character, the component code corresponding to the region length information is determined.

5. The method according to claim 1, characterized in that The preset feature type includes magnetic field strength, and determining the association between the signal feature of the magnetic signal corresponding to the target feature type and the coded character, and determining the component code corresponding to the magnetic signal according to the association and the signal feature, includes: In the case where the target feature type is magnetic field strength, determining the magnetic field strength information of the magnetic identification component according to the signal strength distribution of the magnetic signal; Based on the association between the magnetic field strength and the coded character, the component code corresponding to the magnetic field strength information is determined.

6. The method according to any one of claims 1 to 5, characterized in that: The component information includes a component code, and the component code is generated in the following manner: Acquire component feature information of the component to be identified; The component characteristic information is encoded according to a preset encoding format to obtain a component code corresponding to the component to be identified.

7. The method according to any one of claims 1 to 5, characterized in that: The step of analyzing the magnetic signal to obtain component information corresponding to the magnetic signal includes: Extracting the magnetic signal using a preset signal extraction algorithm to obtain a target signal, wherein the preset signal extraction algorithm is determined based on information distribution data in the magnetic signal; The target signal is analyzed to obtain component information corresponding to the magnetic signal.

8. A device for identifying a device component, characterized in that: The device comprises: A detection module, for detecting the physical structure and magnetic field strength of the magnetic identification component of the component to be identified, and obtaining a magnetic signal of the magnetic identification component, wherein the magnetic identification component is made of a magnetically sensitive material, and different magnetic identification components have different physical structures and / or magnetic field strengths; An analysis module, used for analyzing the magnetic signal to obtain component information corresponding to the magnetic signal; The component information includes a component code, and the parsing module is further used to: determine a target feature type corresponding to the magnetic identification component from a preset feature type, where different physical structures and / or magnetic field strengths correspond to different preset feature types; determine an association between a signal feature of a magnetic signal corresponding to the target feature type and a coding character, and determine a component code corresponding to the magnetic signal based on the association and the signal feature; The determination module is used to determine, based on a preset correspondence between component information and components, that the component to be identified is the component corresponding to the component information.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. 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 method according to any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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