Angular displacement monitoring method and device based on coded angle disk, and storage medium

Abstract

This invention relates to the field of angular displacement monitoring technology, particularly to the field of bolt or nut angular displacement monitoring technology. It discloses an angular displacement monitoring method and device based on a coded angle disk, and a storage medium. The method includes: performing a region division operation on the angle disk to obtain region division results; determining the region coding information of each region division result according to a coding switching sequence and constructing an angle detection disk; then performing a data acquisition operation on the component under test to obtain data acquisition results and filtering out target detection data; acquiring component attribute information of the component under test; and determining the coded detection result based on the target detection data, component attribute information, and measurement mapping relationship, thereby determining the angular displacement monitoring result of the component under test. Therefore, this invention can intelligently measure and calculate the angular displacement of bolts or nuts based on an angle disk, which is beneficial to improving the intelligence and efficiency of measuring the loosening angle of bolts or nuts, and also beneficial to improving the accuracy and reliability of measuring the loosening angle of bolts or nuts.

Description

Technical Field

[0001] This invention relates to the field of angular displacement monitoring technology, and in particular to an angular displacement monitoring method, device, and storage medium based on an coded angle disk. Background Technology

[0002] In fields such as wind turbine generator sets and large equipment assembly, the preload of high-strength bolts is a key factor in ensuring the safe operation of equipment. It not only relates to the tightness and stability of bolted connections but also directly affects the safety and reliability of the entire equipment system. The preload and looseness of bolts directly affect the safety and stability of equipment operation. The standard, primarily derived from the "90 / 10 rule" in engineering practice—a practical rule of thumb for bolt tightening—states that approximately 90% of the torque is consumed by friction when tightening a bolt, and only 10% is converted into effective preload. Therefore, only about 10% of the torque is converted into effective preload, while the remaining 90% is consumed by friction. If the preload changes by more than 10%, it indicates that the connection may have loosened and needs to be retightened to ensure reliability. The relative rotation angle of the bolt or nut is one of the key parameters for judging its tightness. Currently, some technical solutions for angular displacement monitoring utilize bolt pre-tightening devices to perform basic pre-tightening operations. However, these solutions primarily rely on manual observation and measurement of bolt loosening to determine the bolt's loosening angle. Since the 10% warning rate for loose bolts or nuts in wind turbines is mostly between 2 and 4 degrees, it is difficult to identify with the naked eye. This not only results in low intelligence and efficiency in determining angular displacement monitoring results but also leads to large identification errors and low accuracy in angular displacement monitoring.

[0003] Therefore, it is particularly important to improve the intelligence and efficiency of angular displacement monitoring, as well as the accuracy and reliability of angular displacement monitoring calculations. Summary of the Invention

[0004] This invention provides a method, device, and storage medium for angular displacement monitoring based on an coded angle disc. It can intelligently measure and calculate the angular displacement of bolts or nuts based on the angle disc, which is beneficial to improving the intelligence and efficiency of measuring the loosening angle of bolts or nuts, as well as improving the accuracy and reliability of measuring the loosening angle of bolts or nuts.

[0005] The first aspect of this invention discloses a method for monitoring angular displacement based on an coded angle disk, the method comprising: An angle detection disk is constructed by performing a region division operation on the angle disk to obtain the region division results. According to a preset encoding switching sequence, the region encoding information corresponding to each region division result is determined. An angle detection disk is constructed based on each region division result and the region encoding information corresponding to each region division result. The angle detection disk includes a plurality of digital bit hole contact units. The angle detection disk is used to perform data acquisition operations on the component under test to obtain data acquisition results, which include several digital signal acquisition results. Based on the data acquisition results, the acquisition data order corresponding to the digital signal acquisition results is determined, wherein the acquisition data order includes the acquisition order corresponding to all the digital signal acquisition results; The digital signal difference parameters corresponding to the sequence of the acquired data are determined. It is then determined whether there are any target abnormal parameters among all the digital signal difference parameters that do not meet the predetermined data acquisition logic. If not, all the target abnormal parameters are removed from the data acquisition results, and target detection data is generated based on the removed data acquisition results. The component to be tested includes a bolt or nut, and the data acquisition results include the angular displacement acquisition results of the component to be tested. Obtain the component attribute information of the component under test, and determine the coding detection result of the component under test based on the target detection data, the component attribute information, and the pre-determined measurement mapping relationship; Based on the encoded detection results, the angular displacement monitoring results of the component under test are determined; wherein, the angular displacement monitoring results include the loosening angle value of the component under test.

[0006] As an optional implementation, in a first aspect of the present invention, the method further includes: Obtain real-time scene information of the current scene where the component under test is located, and determine the angle verification threshold corresponding to the angular displacement of the component under test based on the real-time scene information; Based on the angular displacement monitoring results and the angle verification threshold, the angle detection status of the component under test is determined, and it is determined whether the angle detection status meets the preset bolt failure conditions. When it is determined that the angle detection state meets the preset bolt fault conditions, the bolt fault warning parameters corresponding to the component under test are determined according to the preset bolt fault conditions and the angular displacement monitoring results. Based on the bolt fault warning parameters, warning processing parameters for the component under test are generated, and a warning processing operation matching the warning processing parameters is performed on the component under test; wherein, the warning processing parameters include loosening warning processing parameters.

[0007] As an optional implementation, in a first aspect of the present invention, determining whether there are any target abnormal parameters among all the digital signal difference parameters that do not satisfy the predetermined data acquisition logic includes: Determine whether there is a target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold; When it is determined that there is a target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is a target abnormal parameter among all the digital signal difference parameters that does not meet the predetermined data acquisition logic; when it is determined that there is no target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is no target abnormal parameter among all the digital signal difference parameters.

[0008] As an optional implementation, in the first aspect of the present invention, before determining the coding detection result of the component under test based on the target detection data, the component attribute information, and a pre-determined measurement mapping relationship, the method further includes: Obtain reference attribute information corresponding to several reference components. Based on all the reference attribute information and the angle detection disk, determine the rotation correspondence between each reference component and the angle detection disk. The rotation correspondence includes the correlation between the actual rotation angle value of each reference component and the angle measurement value of the angle detection disk. Based on the rotational correspondence between all the reference components and the angle detection disk, a differentiated angle parameter mapping table is generated, and a measurement mapping relationship is generated based on the differentiated angle parameter mapping table.

[0009] As an optional implementation, in a first aspect of the present invention, when the component to be tested includes the bolt, after filtering the target detection data from the data acquisition results, the method further includes: Determine whether any of the target detection data contains data indicating a fracture state. When it is determined that the fracture state data exists in all the target detection data, a data verification operation is performed on all the fracture state data to obtain a data verification result; wherein, the data verification result includes the data quantity verification result of the fracture state data and the data continuity verification result of the fracture state data; Determine whether the data verification result meets the preset fracture determination conditions; When it is determined that the data verification result meets the preset fracture judgment condition, the component under test is determined to be in a bolt fracture state, and a fracture warning parameter matching the bolt fracture state is generated.

[0010] As an optional implementation, in a first aspect of the present invention, determining the encoding detection result of the component under test based on the target detection data, the component attribute information, and a pre-determined measurement mapping relationship includes: Based on the component attribute information and the pre-determined measurement mapping relationship, the measurement mapping parameters matching the component under test are determined in the measurement mapping relationship; Calculate the detection measurement difference between the target detection data and the measurement mapping parameters, and determine the coding positioning parameters corresponding to the component under test based on the detection measurement difference; Based on the coded positioning parameters, a coded signal positioning that matches the coded positioning parameters is determined in the angle detection disk, and the coded detection result of the component under test is determined based on the coded signal positioning.

[0011] As an optional implementation, in a first aspect of the present invention, determining the angular displacement monitoring result of the component under test based on the encoded detection result includes: Based on the encoding detection results, the target digital signal of the component under test is determined, and based on the target digital signal, the target position identifier corresponding to the component under test is determined; Based on the target location identifier, a target conversion parameter matching the target location identifier is determined. Based on the target conversion parameter and a pre-determined angle calculation coefficient, the angle calculation value of the component under test is determined. Based on the angle calculation value, the angular displacement monitoring result of the component under test is determined.

[0012] A second aspect of the present invention discloses an angular displacement monitoring device based on an coded angle disk, the device comprising: The partitioning module is used to perform region partitioning operations on the angle disk and obtain the region partitioning results; The determining module is used to determine the region coding information corresponding to each region division result according to a preset coding switching sequence; A construction module is used to construct an angle detection disk based on each of the region division results and the region coding information corresponding to each of the region division results; wherein, the angle detection disk includes a plurality of digital bit hole contact units; The data acquisition module is used to perform data acquisition operations on the component under test through the angle detection disk and obtain data acquisition results; wherein, the component under test includes a bolt or nut, and the data acquisition results include the angular displacement acquisition results of the component under test; the data acquisition results include several digital signal acquisition results; The filtering module is used to determine the acquisition data order corresponding to the digital signal acquisition results based on the data acquisition results, wherein the acquisition data order includes the acquisition order corresponding to all the digital signal acquisition results; determine the digital signal difference parameters corresponding to the acquisition data order; determine whether there are any target abnormal parameters among all the digital signal difference parameters that do not meet the predetermined data acquisition logic; if not, remove all the target abnormal parameters from the data acquisition results; and generate target detection data based on the data acquisition results after removal. The acquisition module is used to acquire the component attribute information of the component under test; The determining module is further configured to determine the coded detection result of the component under test based on the target detection data, the component attribute information, and the pre-determined measurement mapping relationship; and to determine the angular displacement monitoring result of the component under test based on the coded detection result; wherein the angular displacement monitoring result includes the loosening angle value of the component under test.

[0013] As an optional implementation, in a second aspect of the present invention, the acquisition module is further configured to acquire real-time scene information of the current scene where the component under test is located; The determining module is further configured to determine the angle verification threshold corresponding to the component under test based on the real-time scene information; and to determine the angle detection status of the component under test based on the angular displacement monitoring results and the angle verification threshold. The device further includes: The judgment module is used to determine whether the angle detection state meets the preset bolt fault conditions; The determining module is further configured to, when the judging module determines that the angle detection state meets the preset bolt fault conditions, determine the bolt fault warning parameters corresponding to the component under test based on the preset bolt fault conditions and the angular displacement monitoring results; The generation module is used to generate early warning processing parameters for the component under test based on the bolt fault early warning parameters. The processing module is used to perform a warning processing operation on the component under test that matches the warning processing parameters; wherein the warning processing parameters include loosening warning processing parameters.

[0014] As an optional implementation, in a second aspect of the present invention, the specific method by which the filtering module determines whether there are target abnormal parameters among all the digital signal difference parameters that do not meet the predetermined data acquisition logic includes: Determine whether there is a target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold; When it is determined that there is a target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is a target abnormal parameter among all the digital signal difference parameters that does not meet the predetermined data acquisition logic; when it is determined that there is no target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is no target abnormal parameter among all the digital signal difference parameters.

[0015] As an optional implementation, in a second aspect of the present invention, the acquisition module is further configured to acquire reference attribute information corresponding to several reference components before the determining module determines the coding detection result of the component under test based on the target detection data, the component attribute information and the predetermined measurement mapping relationship; The determining module is further configured to determine the rotational correspondence between each of the reference components and the angle detection disk based on all the reference attribute information and the angle detection disk, wherein the rotational correspondence includes the correlation between the actual rotation angle value of each of the reference components and the angle measurement value of the angle detection disk; The generation module is further configured to generate a differentiated angle parameter mapping table based on the rotational correspondence between all the reference components and the angle detection disk, and generate a measurement mapping relationship based on the differentiated angle parameter mapping table.

[0016] As an optional implementation, in a second aspect of the invention, the judgment module is further configured to, when the component to be tested includes the bolt, after the screening module has filtered out the target detection data from the data acquisition results, determine whether any of the target detection data contains fracture state data. The device further includes: The verification module is used to perform a data verification operation on all the fracture state data when the judgment module determines that the fracture state data exists in all the target detection data, and obtain a data verification result; wherein, the data verification result includes a data quantity verification result and a data continuity verification result of the fracture state data. The judgment module is also used to determine whether the data verification result meets the preset fracture judgment condition; The determining module is further configured to determine that the component under test is in a bolt fracture state when the judging module determines that the data verification result meets the preset fracture judgment condition; The generation module is also used to generate fracture warning parameters that match the fracture state of the bolt.

[0017] As an optional implementation, in a second aspect of the present invention, the specific method by which the determining module determines the encoded detection result of the component under test based on the target detection data, the component attribute information, and a pre-determined measurement mapping relationship includes: Based on the component attribute information and the pre-determined measurement mapping relationship, the measurement mapping parameters matching the component under test are determined in the measurement mapping relationship; Calculate the detection measurement difference between the target detection data and the measurement mapping parameters, and determine the coding positioning parameters corresponding to the component under test based on the detection measurement difference; Based on the coded positioning parameters, a coded signal positioning that matches the coded positioning parameters is determined in the angle detection disk, and the coded detection result of the component under test is determined based on the coded signal positioning.

[0018] As an optional implementation, in a second aspect of the present invention, the specific method by which the determining module determines the angular displacement monitoring result of the component under test based on the encoded detection result includes: Based on the encoding detection results, the target digital signal of the component under test is determined, and based on the target digital signal, the target position identifier corresponding to the component under test is determined; Based on the target location identifier, a target conversion parameter matching the target location identifier is determined. Based on the target conversion parameter and a pre-determined angle calculation coefficient, the angle calculation value of the component under test is determined. Based on the angle calculation value, the angular displacement monitoring result of the component under test is determined.

[0019] A third aspect of the present invention discloses another angular displacement monitoring device based on an coded angle disk, the device comprising: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute some or all of the steps in the angular displacement monitoring method based on the coded angle disk according to any of the first aspects of the present invention.

[0020] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the angular displacement monitoring method based on an coded angle disk as described in any of the first aspects of the present invention.

[0021] Compared with the prior art, the present invention has the following beneficial effects: In this embodiment of the invention, a region division operation is performed on the angle disk to obtain the region division result. According to the coding switching sequence, the region coding information corresponding to each region division result is determined, and an angle detection disk is constructed. Through the angle detection disk, a data acquisition operation is performed on the component under test to obtain the data acquisition result. Target detection data is filtered from the data acquisition result. Component attribute information of the component under test is obtained. Based on the target detection data, component attribute information, and measurement mapping relationship, the coding detection result of the component under test is determined. Based on the coding detection result, the angular displacement monitoring result of the component under test is determined. Therefore, implementing this invention enables intelligent measurement and calculation of the angular displacement of bolts or nuts based on the angle disk, which is beneficial to improving the intelligence and efficiency of measuring the loosening angle of bolts or nuts, as well as improving the accuracy and reliability of measuring the loosening angle of bolts or nuts. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating an angular displacement monitoring method based on an coded angle disk disclosed in an embodiment of the present invention; Figure 2 This is a schematic flowchart of another angular displacement monitoring method based on an coded angle disk disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an angular displacement monitoring device based on an coded angle disk disclosed in an embodiment of the present invention; Figure 4 This is a schematic diagram of another angular displacement monitoring device based on an coded angle disk disclosed in an embodiment of the present invention; Figure 5 This is a schematic diagram of another angular displacement monitoring device based on an coded angle disk disclosed in an embodiment of the present invention. Detailed Implementation

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0025] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0026] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0027] This invention discloses an angular displacement monitoring method and device based on an coded angle disk, as well as a storage medium. It enables intelligent measurement and calculation of the angular displacement of bolts or nuts based on the angle disk, which improves the intelligence and efficiency of measuring the loosening angle of bolts or nuts, and also enhances the accuracy and reliability of such measurements. Detailed descriptions follow.

[0028] Example 1 Please see Figure 1 , Figure 1 This is a schematic flowchart of an angular displacement monitoring method based on an coded angle disk disclosed in an embodiment of the present invention. Wherein, Figure 1 The described angular displacement monitoring method based on an coded angle disk can be applied to an angular displacement monitoring device based on an coded angle disk, or to an coded angle disk itself. The angular displacement monitoring device based on the coded angle disk can be integrated into a cloud server or a local server; this embodiment of the invention does not impose any limitations. Figure 1 As shown, the angular displacement monitoring method based on the coded angle disk can include the following operations: 101. Perform a region division operation on the angle disk to obtain the region division results. According to the preset coding switching sequence, determine the region coding information corresponding to each region division result. Based on each region division result and the region coding information corresponding to each region division result, construct the angle detection disk.

[0029] In this embodiment of the invention, the angle detection disk includes a plurality of digital bit hole contact units.

[0030] In this embodiment of the invention, the angle detection disk may optionally include an coded angle disk.

[0031] In this embodiment of the invention, optionally, the above-mentioned region division operation on the angle disc to obtain the region division result may include: According to the preset area threshold, the angle disk is divided into regions to obtain the region division results. The number of region division results is at least two, and the angle value corresponding to each region division result is the same.

[0032] In this embodiment of the invention, optionally, for example, the angle disc is divided into 10 sections, each section corresponding to an angle value of 36 degrees.

[0033] In this embodiment of the invention, optionally, the process of determining the region coding information corresponding to each region division result according to a preset coding switching sequence may include: According to the preset encoding switching sequence, the region encoding operation is performed on each region division result to obtain the region encoding information corresponding to each region division result.

[0034] In this embodiment of the invention, optionally, for example, each region corresponds to a unique set of region coding information, the region coding information is a 4-bit binary code (0000~1111) and the corresponding storage location code can be (8000~800F).

[0035] In this embodiment of the invention, optionally, the construction of the angle detection disk based on each region division result and the region coding information corresponding to each region division result may include: Based on the region division results and the corresponding region coding information, the region digital bit hole contact unit corresponding to each region division result is determined, and an angle detection disk is constructed according to the region digital bit hole contact unit.

[0036] In this embodiment of the invention, optionally, the angle detection disk is a passive wireless integrated structure with an overall diameter adapted to bolt specifications. Each angle detection disk integrates multiple digital bit hole contact units, wherein the number of digital bit hole contact units in each region division result can be 4; furthermore, the digital bit hole contact units are electrically connected to the area coding information in a one-to-one correspondence.

[0037] 102. Using the angle detection disk, perform data acquisition operations on the component under test, obtain the data acquisition results, and filter out the target detection data from the data acquisition results.

[0038] In this embodiment of the invention, the component to be tested includes a bolt or nut, and the data acquisition results include the angular displacement acquisition results of the component to be tested.

[0039] In this embodiment of the invention, optionally, the above-mentioned data acquisition operation performed on the component under test through the angle detection disk to obtain the data acquisition result may include: The angle detection disk performs data acquisition operations on the component under test according to a predetermined data acquisition cycle to obtain data acquisition results. The predetermined data acquisition cycle may include the angle data acquisition cycle and the area rotation time. For example, the angle data acquisition cycle may be 5ms to 10ms, and the area rotation time may be the data reading duration corresponding to each area.

[0040] In this embodiment of the invention, the target detection data may optionally include the detection data after removing abnormal data, invalid codes and unstable signals.

[0041] 103. Obtain the component attribute information of the component under test, and determine the coding detection result of the component under test based on the target detection data, component attribute information and the pre-determined measurement mapping relationship.

[0042] In this embodiment of the invention, optionally, the component attribute information of the component to be tested may include the bolt diameter information, preload torque standard value information, installation position number information, and bolt application scenario information of the component to be tested, wherein the preload torque standard value information may include the preload force information and torque information of the component to be tested.

[0043] 104. Based on the coding detection results, determine the angular displacement monitoring results of the component under test.

[0044] In this embodiment of the invention, the angular displacement monitoring result includes the loosening angle value of the component under test.

[0045] In a further optional embodiment of the present invention, the above method may also include: Based on the angular displacement monitoring results of the component under test, the angular displacement monitoring results of the component under test are uploaded to the predetermined terminal platform and stored in the preset server database; Based on the angular displacement monitoring results of the component under test stored in the predetermined terminal platform and the preset server database, a set of bolt operation parameter information corresponding to the component under test is generated.

[0046] It is evident that implementation Figure 1The described angular displacement monitoring method based on an coded angle disk can perform region division operations on the angle disk to obtain region division results. According to the coding switching sequence, the region coding information corresponding to each region division result is determined, and an angle detection disk is constructed. Through the angle detection disk, data acquisition operations are performed on the component under test to obtain data acquisition results. Target detection data is then filtered from the data acquisition results. Component attribute information of the component under test is obtained. Based on the target detection data, component attribute information, and measurement mapping relationship, the coded detection result of the component under test is determined. Based on the coded detection result, the angular displacement monitoring result of the component under test is determined. This method can accurately divide the angle disk into multiple independent areas, and each area contains a corresponding code. This information, through the correspondence between coding and angle, can improve the accuracy and reliability of determining the loosening angle of the component under test. It can also determine the angular displacement monitoring results of the component under test through coded information, enabling precise classification of bolt or nut conditions and accurate calculation of bolt or nut angles. Furthermore, it can accurately measure the loosening angle of the component under test using an angle detection disc to prevent interference from the external environment, further improving the accuracy and reliability of angle calculation. Additionally, it can perform intelligent measurement and calculation of bolts or nuts based on the angle disc, enhancing the intelligence and efficiency of measuring bolt or nut loosening angles, and ultimately improving the accuracy and reliability of bolt or nut loosening angle measurements.

[0047] Example 2 Please see Figure 2 , Figure 2 This is a flowchart illustrating another angular displacement monitoring method based on an coded angle disk disclosed in an embodiment of the present invention. Figure 2 The described angular displacement monitoring method based on an coded angle disk can be applied to an angular displacement monitoring device based on an coded angle disk, or to an coded angle disk itself. The angular displacement monitoring device based on the coded angle disk can be integrated into a cloud server or a local server; this embodiment of the invention does not impose any limitations. Figure 2 As shown, the angular displacement monitoring method based on the coded angle disk can include the following operations: 201. Perform a region division operation on the angle disk to obtain the region division results. According to the preset coding switching sequence, determine the region coding information corresponding to each region division result. Based on each region division result and the region coding information corresponding to each region division result, construct the angle detection disk.

[0048] 202. Using the angle detection disk, perform data acquisition operations on the component under test, obtain the data acquisition results, and filter out the target detection data from the data acquisition results.

[0049] 203. Obtain the component attribute information of the component under test, and determine the coding detection result of the component under test based on the target detection data, component attribute information and the pre-determined measurement mapping relationship.

[0050] 204. Based on the coding detection results, determine the angular displacement monitoring results of the component to be tested.

[0051] In this embodiment of the invention, for a detailed description of steps 201-204, please refer to the other descriptions of steps 101-104 in Embodiment 1. This embodiment of the invention will not repeat them.

[0052] 205. Obtain real-time scene information of the current scene where the component under test is located, and determine the angle verification threshold corresponding to the component under test based on the real-time scene information.

[0053] In this embodiment of the invention, optionally, the real-time scene information of the current scene where the component under test is located may include the real-time temperature information of the current scene, the real-time vibration velocity information of the component under test, the real-time vibration acceleration information of the component under test, and the application scene information of the component under test.

[0054] In this embodiment of the invention, optionally, the real-time scene information of the current scene where the component under test is located can be obtained through a temperature sensor, vibration sensor, vision sensor, or sound sensor.

[0055] In this embodiment of the invention, optionally, the determination of the angle verification threshold corresponding to the component under test based on real-time scene information may include: Obtain historical scene information and historical bolt angle verification information, and generate scene angle association relationships between each piece of scene information and each piece of historical bolt angle verification information based on the historical scene information and historical bolt angle verification information; Calculate the scene similarity between real-time scene information and each historical scene information, and select the highest scene similarity from all scene similarity scores. Then, determine the historical scene information corresponding to the highest scene similarity as the target scene corresponding to the real-time scene information. Based on the target scene and the relationship between scene angles, determine the angle verification threshold corresponding to the component under test.

[0056] In this embodiment of the invention, optionally, the angle verification threshold is a scenario-based dynamic threshold used to determine whether the angular displacement monitoring result is normal, used to distinguish the angle deviation caused by environmental fluctuations from the actual abnormal loosening angle value of the bolt.

[0057] 206. Based on the angular displacement monitoring results and the angle verification threshold, determine the angle detection status of the component under test, and determine whether the angle detection status meets the preset bolt fault conditions.

[0058] In this embodiment of the invention, optionally, determining the angle detection state of the component under test based on the angular displacement monitoring results and the angle verification threshold may include: Based on the angular displacement monitoring results and the angle verification threshold, the angle difference parameter between the angular displacement monitoring results and the angle verification threshold is determined, and the angle detection status of the component under test is determined based on the angle difference parameter.

[0059] In this embodiment of the invention, optionally, for example, if the angle difference parameter is used to indicate that the angle difference between the angular displacement monitoring result and the angle verification threshold is less than a preset first threshold, then the angle detection state of the component under test is determined to be normal; if the angle difference parameter is used to indicate that the angle difference between the angular displacement monitoring result and the angle verification threshold is greater than the preset first threshold and less than the preset second threshold, then the angle detection state of the component under test is determined to be slightly loose; if the angle difference parameter is used to indicate that the angle difference between the angular displacement monitoring result and the angle verification threshold is greater than the preset second threshold, then the angle detection state of the component under test is determined to be severely loose.

[0060] In this embodiment of the invention, optionally, the process of determining whether the angle detection state meets the preset bolt fault conditions may include: Determine whether the angle detection status matches the bolt fault status corresponding to the preset bolt fault conditions; When it is determined that the angle detection state matches the bolt fault state corresponding to the preset bolt fault condition, it is determined that the angle detection state meets the preset bolt fault condition; when it is determined that the angle detection state does not match the bolt fault state corresponding to the preset bolt fault condition, it is determined that the angle detection state does not meet the preset bolt fault condition.

[0061] 207. When it is determined that the angle detection status meets the preset bolt fault conditions, the bolt fault warning parameters corresponding to the component under test are determined based on the preset bolt fault conditions and the angular displacement monitoring results.

[0062] In this embodiment of the invention, the early warning processing parameters include loosening early warning processing parameters.

[0063] In this embodiment of the invention, optionally, when it is determined that the angle detection state does not meet the preset bolt fault conditions, the process can be terminated.

[0064] In this embodiment of the invention, optionally, the determination of bolt fault early warning parameters corresponding to the component under test based on preset bolt fault conditions and angular displacement monitoring results may include: Based on the preset bolt failure conditions and angular displacement monitoring results, the warning status of the component under test is determined, and the corresponding bolt failure warning parameters of the component under test are determined based on the warning status of the component under test.

[0065] In this embodiment of the invention, optionally, the warning state of the component under test may include a first warning state or a second warning state, wherein the first warning state may include a slightly loose state; and the second warning state may include a severely loose state. Further, when the warning state of the component under test is the first warning state, a looseness prompt message corresponding to the component under test can be generated and sent to the administrator's terminal to remind the administrator; when the warning state of the component under test is the second warning state, component processing parameters corresponding to the second warning state are generated to perform a component tightening operation or a component replacement operation on the component under test.

[0066] In this embodiment of the invention, optionally, for example, the bolt fault warning parameters corresponding to the component under test may include a set of parameters for defining the warning intensity and response requirements, including warning level, response priority, processing time limit, and fault risk description. The fault risk description may include a standardized description generated based on fault type, angle value, and scenario; the processing time limit may include the fault processing duration and fault processing time corresponding to the component under test.

[0067] 208. Based on the bolt fault warning parameters, generate the warning processing parameters for the component under test, and perform a warning processing operation on the component under test that matches the warning processing parameters.

[0068] In this embodiment of the invention, optionally, the above-mentioned generation of early warning processing parameters for the component under test based on bolt fault early warning parameters may include: Based on the bolt fault warning parameters and real-time scene information, determine the warning processing method that matches the real-time scene information in the current scenario; Based on the bolt fault warning parameters and the warning processing method that matches the real-time scene information, the warning processing parameters of the component under test are generated.

[0069] In this embodiment of the invention, optionally, for example, the warning processing parameters of the component under test may include one or more of the following: manual reset processing parameters, automatic reset processing parameters, bolt tightening processing parameters, and bolt replacement processing parameters.

[0070] It is evident that implementation Figure 2The described bolt angle meter method based on an coded angle disk can acquire real-time scene information corresponding to the component under test and determine the corresponding angle verification threshold. Based on the angular displacement monitoring results and the angle verification threshold, it determines the angle detection state and judges whether the bolt fault conditions are met. If met, it determines the bolt fault early warning parameters corresponding to the component under test, generates early warning processing parameters, and executes matching early warning processing operations. By acquiring real-time scene information of the scene where the component under test is located, it dynamically matches differentiated angle verification thresholds, avoiding misjudgment or missed judgment problems under complex working conditions with fixed thresholds. It also helps improve the intelligence of bolt state detection and the adaptability between the bolt and the current scene. If the angle detection state... When bolt failure conditions are met, the system can intelligently determine the corresponding bolt failure warning parameters for the component under test. This improves the intelligence and efficiency of determining these parameters, as well as their accuracy and reliability. Furthermore, it enhances the operational safety of the component under test, preventing errors caused by bolt failures that could lead to equipment malfunctions. By providing early warnings of potential bolt failures, it avoids equipment downtime and safety accidents resulting from bolt failure, indirectly reducing economic losses and demonstrating significant economic benefits. Compared to standardized warnings, customized parameters allow the warning response to better meet actual needs, avoiding resource waste and further improving the safety and reliability of bolt operation.

[0071] In an optional embodiment, the data acquisition results include several digital signal acquisition results, wherein filtering out target detection data from the data acquisition results includes: Based on the data acquisition results, determine the acquisition data order corresponding to the digital signal acquisition results, where the acquisition data order includes the acquisition order corresponding to all digital signal acquisition results; Determine the digital signal difference parameters corresponding to the data acquisition order, and determine whether there are any target abnormal parameters among all digital signal difference parameters that do not meet the predetermined data acquisition logic. The digital signal difference parameters include the digital bit difference parameters between every two digital signal acquisition results in the data acquisition order. When it is determined that there are target abnormal parameters in all digital signal difference parameters that do not meet the predetermined data acquisition logic, all target abnormal parameters are removed from the data acquisition results, and target detection data is generated based on the removed data acquisition results. Among these, determining whether there are any target abnormal parameters among all digital signal difference parameters that do not meet the pre-determined data acquisition logic includes: Determine whether there is a target signal difference parameter among all digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold. When it is determined that there is a target difference parameter among all digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is a target abnormal parameter among all digital signal difference parameters that does not meet the predetermined data acquisition logic; when it is determined that there is no target difference parameter among all digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is no target abnormal parameter among all digital signal difference parameters.

[0072] In this optional embodiment, the data acquisition results may include a set of raw signals acquired by the acquisition device corresponding to the component under test according to a preset acquisition period, including several digital signal acquisition results.

[0073] In this optional embodiment, the order of the acquired data corresponding to the digital signal acquisition results can be a sequence formed by arranging the acquisition timestamps in ascending order, where each element in the sequence is a single digital signal acquisition result.

[0074] In this optional embodiment, the digital signal difference parameter corresponding to the data acquisition order may include the difference characteristics of two adjacent digital signal acquisition results in the data acquisition order, and may further include the amount of digital bit change between two adjacent 4-bit binary codes.

[0075] In this optional embodiment, it is further possible to terminate the process when it is determined that all digital signal difference parameters have target abnormal parameters that satisfy the predetermined data acquisition logic.

[0076] In this optional embodiment, optionally, removing all target anomaly parameters from the data acquisition results and generating target detection data based on the removed data acquisition results may include: If it is determined that there are target abnormal parameters, all marked target abnormal parameters are extracted, all target abnormal parameters are removed from the data acquisition results, and based on the data acquisition results after removal, the remaining digital acquisition results are reordered according to the original acquisition timestamp order to form a continuous and valid data sequence. Perform integrity verification on the reordered valid data sequence, obtain the integrity verification result, and determine whether the integrity verification result meets the preset integrity verification conditions. When it is determined that the integrity verification result meets the preset integrity verification conditions, target detection data is generated based on the valid data sequence; If the integrity check result is determined to be inconsistent with the preset integrity check conditions, the data acquisition operation is re-executed.

[0077] In this optional embodiment, the preset change threshold can optionally be 1; further, the preset change threshold is a fixed threshold for judging whether the digital signal is abnormal, with a value of 1 bit, and the threshold is based on the design logic of the encoding switching sequence.

[0078] In this optional embodiment, for example, any two adjacent digital signals in the switching sequence have only one digital bit state difference. The digital signals are identified strictly in this sequence during the rotation of the angle wheel. If there are two digital bit state differences, it is determined whether there is a signal target difference parameter in the digital signal difference parameter where the digital bit change is greater than or equal to a preset change threshold.

[0079] As can be seen, implementing this optional embodiment can determine the order of collected data based on the data acquisition results, determine the digital signal difference parameters corresponding to the order of collected data, and determine whether there are target abnormal parameters that do not meet the preset data acquisition logic. If there are, the target abnormal parameters are removed to generate target detection data. It can accurately identify and remove abnormal parameters that change multiple digital bits at the same time through the change of digital bits. This method avoids abnormal signals from entering the calculation process, providing a precise data foundation for subsequent bolt angle calculations. It also transforms data acquisition logic into quantifiable threshold judgment rules for changes, eliminating the need for manual signal validity assessment and completely avoiding human experience bias. This standardizes and automates the screening process, significantly improving the consistency and reliability of the screening results. Abnormal signals with simultaneous changes in multiple digits can directly lead to angle mapping matching errors, resulting in angle calculation deviations. By pre-screening and eliminating abnormal parameters, the error propagation path is cut off at the source, making subsequent encoding matching and angle calculation based on target detection data more accurate. This improves the accuracy and reliability of the screened target detection data, as well as the intelligence and efficiency of the screened target detection data. Furthermore, it enhances the intelligence and efficiency of measuring bolt loosening angles, improving the accuracy and reliability of angle calculations. Finally, it enables intelligent measurement and calculation of bolts or nuts based on an angle dial, further improving the intelligence and efficiency of measuring bolt or nut loosening angles, as well as the accuracy and reliability of the measured bolt or nut loosening angles.

[0080] In another optional embodiment, before determining the encoded detection result of the component under test based on the target detection data, component attribute information, and a pre-determined measurement mapping relationship, the method further includes: Obtain the reference attribute information corresponding to several reference components. Based on all the reference attribute information and the angle detection disk, determine the rotation correspondence between each reference component and the angle detection disk. The rotation correspondence includes the relationship between the actual rotation angle value of each reference component and the angle measurement value of the angle detection disk. Based on the rotational correspondence between all reference components and the angle detection disk, a differentiated angle parameter mapping table is generated, and a measurement mapping relationship is generated based on the differentiated angle parameter mapping table.

[0081] In this optional embodiment, the reference component may optionally include a standard bolt sample for calibrating the correlation between the angle detection disc and bolt rotation, covering bolts with nominal diameters such as M8, M10, M12, M16, M20, and M24. Furthermore, the reference component may also include a reference nut sample.

[0082] In this optional embodiment, the reference attribute information corresponding to the reference component may include a set of parameters for characterizing the core characteristics of each reference component. The reference attribute information corresponding to the reference component may include nominal diameter, thread pitch, bolt head thickness, material yield strength, and bolt design preload torque.

[0083] In this optional embodiment, the determination of the rotational correspondence between each reference component and the angle detection disk based on all reference attribute information and the angle detection disk may include: For each reference component, based on the reference attribute information of the reference component and the angle measuring disk, the reference component is fixed in the angle measuring disk. Based on the real-time rotation parameters of the reference component and the real-time angle measurement parameters corresponding to the angle measuring disk, the rotation correspondence between the reference component and the angle detection disk is generated.

[0084] In this optional embodiment, the actual rotation angle value may include the true rotation angle of the reference component under controllable torque, which may be measured by a high-precision calibration device and used as a standard reference value for angle mapping; the angle measurement value of the angle detection disk may include the angle value converted from the coded position when the angle detection disk rotates synchronously with the reference component.

[0085] In this optional embodiment, the process of generating a differentiated angle parameter mapping table based on the rotational correspondence between all reference components and the angle detection disk, and generating a measurement mapping relationship based on the differentiated angle parameter mapping table, may include: Based on the rotational correspondence between all reference components and the angle detection disk, a differentiated angle parameter mapping table is generated from the structured data set categorized according to the specifications of each reference component. Measurement mapping relationships are then generated based on the differentiated angle parameter mapping table. Each reference component's specification corresponds to a unique mapping table, and the fields in the table include reference number, nominal diameter, coded position number, coded information, angle measurement value, and standard rotation angle.

[0086] In this optional embodiment, the measurement mapping relationship may include methods to guide the data acquisition unit to quickly match the angle parameters corresponding to the component under test during actual detection.

[0087] As can be seen, implementing this optional embodiment can acquire several reference attribute information, determine the correspondence between each reference component and the angle detection disk based on the reference attribute information and the angle detection disk, and generate a differentiated angle parameter mapping table to generate a measurement mapping relationship. It can determine the rotation correspondence between the actual rotation angle of the bolt and the angle disk measurement value one by one based on the specification information of different bolts to be tested and in combination with the angle detection disk. Furthermore, it can ensure the authenticity and accuracy of the data in the differentiated mapping table based on the association relationship of each bolt specification, providing highly reliable data support for coded detection results and bolt angle calculation. It can also acquire the reference attribute information to be tested in batches, generate rotation correspondences and differentiated mappings in batches. This table helps improve the intelligence and efficiency of generating measurement mapping relationships, and establishes an independent angle association system for each bolt specification through a differentiated angle parameter mapping table. The corresponding mapping relationship can be quickly retrieved through the specification identifier in the component attribute information, which in turn helps improve the accuracy and reliability of filtering target detection data, as well as the intelligence and efficiency of filtering target detection data. Furthermore, it helps improve the accuracy and reliability of angle calculation, and further enables intelligent measurement and calculation of bolts or nuts based on the angle plate, which helps improve the intelligence and efficiency of measuring the loosening angle of bolts or nuts, as well as the accuracy and reliability of measuring the loosening angle of bolts or nuts.

[0088] In yet another optional embodiment, when the component under test includes bolts, after filtering out the target detection data from the data acquisition results, the method further includes: Determine whether fracture state data exists in all target detection data. When fracture state data is found to exist in all target detection data, perform data verification operation on all fracture state data to obtain data verification results. The data verification results include the data quantity verification result and the data continuity verification result of fracture state data. Determine whether the data verification results meet the preset fracture judgment conditions; When the data verification result is determined to meet the preset fracture judgment conditions, the component under test is determined to be in a bolt fracture state, and fracture warning parameters matching the bolt fracture state are generated.

[0089] In this optional embodiment, the determination of whether there is broken state data in all target detection data may include: traversing all hexadecimal storage location codes in the target detection data, matching each code to see if it is 8000, and simultaneously verifying whether the corresponding 4-bit binary code is 0000. If both conditions are met, it is marked as broken state data; if at least one marked broken state data exists after traversal, output that broken state data exists; otherwise, output that broken state data does not exist. Further, it can be represented by a single hexadecimal 0, with 0h representing binary 0000. The specific representation method is not specifically limited in this embodiment of the invention.

[0090] In this optional embodiment, the above-mentioned data verification operation on all fracture state data to obtain the data verification result may include: Determine the number of fracture data corresponding to the fracture state data, and determine whether the number of fracture data is greater than or equal to a preset fracture data number threshold to obtain the first judgment result; Extract the acquisition timestamps of all fracture state data, arrange them in ascending order to form a time series, calculate the time interval between two adjacent data points, and determine whether the time interval is greater than or equal to a preset time interval threshold to obtain a second judgment result; Based on the first and second judgment results, the data verification results are obtained.

[0091] In this optional embodiment, the determination of whether the data verification result meets the preset fracture determination condition may include: When the first judgment result indicates that the number of fracture data is greater than or equal to the preset fracture data number threshold, or the second judgment result indicates that the time interval is greater than or equal to the preset time interval threshold, the data verification result indicates that the fracture state data does not meet the preset fracture judgment condition. When the first judgment result indicates that the number of fracture data is less than a preset fracture data number threshold and the second judgment result indicates that the time interval is less than a preset time interval threshold, the data verification result indicates that the fracture state data meets the preset fracture judgment conditions.

[0092] In this optional embodiment, optionally, for example, the total number of fracture state data entries is counted. If the total number of data entries is greater than a preset fracture data quantity threshold, it is determined that the preset fracture judgment condition is not met. If the total number of data entries is less than or equal to the preset fracture data quantity threshold, it is determined that the preset fracture judgment condition is met. If the timestamps of the fracture state data are 10:00:00.000, 10:00:00.005, 10:00:00.010, and 10:00:00.015, with a time interval of 5ms and a continuous duration of 20ms, the T_th requirement is met, and it is determined to be continuously compliant. The data verification result output may include combining the two verification results to generate the final data verification result. If the total number of data entries is less than or equal to the preset fracture data quantity threshold and the timestamps of the fracture state data are continuously compliant, the data verification result is that the preset fracture judgment condition is met.

[0093] As can be seen, implementing this optional embodiment can determine whether fracture state data exists in all target detection data. If it does, a data verification operation is performed on all fracture state data to obtain the data verification result and determine whether the data verification result meets the preset fracture judgment condition. If it does, the component under test is determined to be in a bolt fracture state and a corresponding fracture warning parameter is generated. This can accurately determine the fracture state and avoid false alarms and missed alarms. It can also improve the accuracy and reliability of the judgment through multi-dimensional data verification methods, and further improve the accuracy and reliability of data verification based on the comprehensiveness of the data verification dimensions. It can also generate exclusive warning parameters that accurately match the fracture state after confirming bolt fracture, which is conducive to timely and accurate early warning of bolt fracture, improving the efficiency and intelligence of risk response. Furthermore, the adaptability of the method in complex environments can be improved through software logic optimization, ensuring that the fracture judgment is not affected by the environment. The generated fracture warning parameters are deeply matched with the bolt fracture state, which can directly guide maintenance personnel to take precise handling measures, avoid confusion in maintenance decisions, improve the efficiency and accuracy of fault handling, and further improve the safety and reliability of bolts and corresponding equipment operation.

[0094] In another optional embodiment, the encoded detection result of the component under test is determined based on the target detection data, component attribute information, and a pre-determined measurement mapping relationship, including: Based on the component attribute information and the pre-determined measurement mapping relationship, the measurement mapping parameters that match the component under test are determined in the measurement mapping relationship; Calculate the detection and measurement difference between the target detection data and the measurement mapping parameters, and determine the coded positioning parameters corresponding to the component under test based on the detection and measurement difference; Based on the coded positioning parameters, the coded signal positioning that matches the coded positioning parameters is determined in the angle detection disk, and the coded detection result of the component under test is determined based on the coded signal positioning.

[0095] In this optional embodiment, the step of determining the measurement mapping parameters matching the component under test based on the component attribute information and a pre-determined measurement mapping relationship may include: determining bolt attribute feature information based on the component attribute information, and determining measurement mapping parameters matching the bolt attribute feature information in the pre-determined measurement mapping relationship based on the bolt attribute feature information. Further, the measurement mapping parameters may include one or more of the following: a reference code position parameter, a reference angle parameter, and a reference specification correction parameter for the component under test; wherein, the reference code position parameter may include the angle detection disc code position parameter corresponding to the pre-tightened state of the component under test; the reference angle parameter may include the actual rotation reference angle of the bolt; and the reference specification correction parameter may include an angle deviation correction coefficient specific to the specifications of the component under test.

[0096] In this optional embodiment, the calculation of the detection measurement difference between the target detection data and the measurement mapping parameters, and the determination of the coded positioning parameters corresponding to the component under test based on the detection measurement difference, may include: Calculate the coding position difference and the reference angle difference between the target detection data and the measurement mapping parameters. Determine the detection measurement difference based on the coding position difference and the reference angle difference. The coding position difference may include the sequence difference between the current coding position and the reference coding position, and the reference angle difference may include the angle difference corresponding to the change in coding position. Based on the detection and measurement difference, the core parameters of the actual position of the coded signal of the component under test are determined, and the corresponding coded positioning parameters of the component under test are determined according to the core parameters of the actual position of the coded signal of the component under test; wherein, the core parameters of the actual position of the coded signal of the component under test may include the actual coded position, the effective coded change amount, and the positioning reliability.

[0097] In this optional embodiment, the above-mentioned determination of the coded signal positioning in the angle detection disk according to the coded positioning parameters, and determination of the coded detection result of the component under test based on the coded signal positioning, may include: Based on the coded positioning parameters, the specific signal position matching the coded positioning parameters is determined in the angle detection disk, and the coded signal position matching the coded positioning parameters is determined based on the specific signal position; wherein, the specific signal position may include the area number signal position matching the coded positioning parameters and the specific position of the area code determined in the angle detection disk. Based on the localization of the encoded signal, the encoded detection result of the component under test is determined. The encoded detection result is used to characterize the final result of the encoded signal state and associated angle of the component under test. The encoded detection result includes encoded position information.

[0098] In this optional embodiment, the coding detection result may also include bolt status identifier, bolt valid coding information, and angle detection parameters corresponding to the angle detection disc.

[0099] In this optional embodiment, optionally, for example, in the retrieved mapping table subset, the angle parameters, scene correction coefficients, and relative angles within the area corresponding to the valid encoded signal in the target detection data are searched. If the hexadecimal storage location code of the valid encoded signal is 8000 and the EPC configuration location value is 06XX, it is determined to be a bolt breakage state. If the hexadecimal storage location code of the valid encoded signal is 8001 to 800F (excluding 8002, 8008, and 800A), and the encoding sequence conforms to the "sequential change or alternating position jump" rule, it is determined to be a bolt loose state. If the encoded signal alternates between 8000 and other valid codes, or the EPC configuration location value is 0000, it is determined to be a sensor fault state. If the representative value of the valid encoded signal shows alternating position jumps (such as 0 directly jumping to 3), it is determined to be an abnormal encoding sequence, and the state corresponding to the valid code of the previous cycle is maintained.

[0100] As can be seen, implementing this optional embodiment can determine the measurement mapping parameters matching the component under test in the measurement mapping relationship based on the component attribute information and the measurement mapping relationship, calculate the detection measurement difference between the target detection data and the measurement mapping parameters, and determine the coded positioning parameters. Based on the detection measurement difference, the corresponding coded positioning parameters of the component under test are determined, and based on the coded positioning parameters, the coded signal matching the coded positioning parameters is determined in the angle detection disk, thereby determining the coded detection result of the component under test. This allows for targeted matching of specific measurement mapping parameters from the measurement mapping relationship based on the attribute information of the component under test, avoiding matching deviations caused by sharing parameters between bolts of different specifications. It makes the mapping between the code and the angle more closely match the characteristics of the component under test, which is beneficial to improving matching accuracy and reliability. Furthermore, by calculating the detection measurement difference between the target detection data and the measurement mapping parameters... The difference provides precise data support for coding positioning, which helps improve the accuracy and reliability of determining coding positioning parameters and improves coding positioning accuracy. The coding detection result integrates multi-dimensional information such as coding position, signal identifier, actual angle, and validity identifier. It not only clarifies the current coding status of the bolt, but also provides complete basic data for subsequent bolt angle calculation. This helps improve the accuracy and reliability of subsequent coding detection results for the parts under test, as well as the intelligence and efficiency of determining the coding detection results for the parts under test. Furthermore, it helps improve the accuracy and reliability of angle calculation, and further enables intelligent measurement and calculation of bolts or nuts based on the angle plate. This helps improve the intelligence and efficiency of measuring the loosening angle of bolts or nuts, as well as the accuracy and reliability of measuring the loosening angle of bolts or nuts.

[0101] In yet another optional embodiment, the angular displacement monitoring result of the component under test is determined based on the encoded detection result, including: Based on the coding detection results, the target digital signal of the component under test is determined, and based on the target digital signal, the target position identifier corresponding to the component under test is determined; Based on the target location identifier, the target conversion parameters that match the target location identifier are determined. Based on the target conversion parameters and the pre-determined angle calculation coefficients, the angle calculation value of the component under test is determined. Based on the angle calculation value, the angular displacement monitoring result of the component under test is determined.

[0102] In this optional embodiment, the process of determining the target digital signal of the component under test based on the encoding detection result, and determining the target location identifier corresponding to the component under test based on the target digital signal, may include: Based on the encoding detection results, the valid encoding signal corresponding to the valid identifier in the encoding detection results is determined, and a data conversion operation is performed on the valid encoding signal to obtain the target digital signal. The data conversion operation includes converting the valid encoding signal into a 4-bit binary encoding conversion operation. Based on the target digital signal, a unique identifier for the position of the component under test on the angle detection disk is determined, and the target position identifier corresponding to the component under test is determined according to the unique position identifier.

[0103] In this optional embodiment, the above-mentioned determination of target transformation parameters matching the target location identifier based on the target location identifier, and determination of the angle calculation value of the component under test based on the target transformation parameters and a pre-determined angle calculation coefficient, may include: Based on the target location identifier, the basic angle transformation parameters corresponding to the target location identifier are determined, and the target transformation parameters are determined according to the basic angle transformation parameters. The basic angle transformation parameters may include single-code location angle increment parameters and area reference offset angle parameters. The single-code location angle increment parameters may include fixed angle values ​​corresponding to each code location, and the area reference offset angle parameters may include the initial offset angle of each area relative to the reference area. Based on the target conversion parameters and the pre-determined angle calculation coefficient, the original calculated value of the bolt rotation angle is calculated, and the angle calculation value of the component to be measured is determined based on the original calculated value of the bolt rotation angle; wherein, the pre-determined angle calculation coefficient can be 0.5.

[0104] In this optional embodiment, the above-mentioned determination of the angular displacement monitoring result of the component under test based on the angle calculation value may include: The calculated angle value is used as the angular displacement monitoring result of the component under test.

[0105] In this optional embodiment, the angular displacement monitoring results may include the actual loosening angle of the bolts of the component under test, the angle value corresponding to the pre-tightening of the component under test, and the confidence level of the angle calculation of the component under test.

[0106] In this optional embodiment, optionally, for example, the target digital signal may include the encoded signal corresponding to the "valid" identifier in the encoded detection result. The core is a 4-bit binary code (0000~1111) and a hexadecimal storage location code (8000~800F, excluding invalid codes 8002 / 8008 / 800A). It is extracted only when the signal validity identifier is "valid". If invalid, it triggers re-acquisition. The target position identifier may include a unique identifier that represents the precise position of the component under test on the angle detection disk, which consists of a patch identifier and an encoded position identifier.

[0107] As can be seen, implementing this optional embodiment can determine the target digital signal of the component under test based on the encoded detection results, thereby determining the target position identifier corresponding to the component under test. Based on the target position identifier, it determines the matching target conversion parameters, and based on the target conversion parameters and the pre-determined angle calculation coefficients, it determines the angle calculation value of the component under test, thus obtaining the angular displacement monitoring result of the component under test. It can extract the effective target digital signal through the encoded detection results, and further derive the two-dimensional target position identifier of the area and the encoded position, realizing the unique and accurate positioning of the bolt on the angle detection plate. This is beneficial to improving the accuracy and reliability of positioning, and also beneficial to improving the positioning precision. Each step of the derivation is based on quantitative data and fixed rules, without subjective judgment, avoiding the results caused by human intervention or scene differences. The fluctuation of the result further improves the accuracy and reliability of positioning. The calculation rules of the target position mark support multi-round area cycling of the angle disk. The angle calculation value is compensated for coaxiality deviation by mechanical installation correction coefficient, which can adapt to multi-round cycling and complex installation scenarios, which is conducive to improving versatility and practicality. The angular displacement monitoring result not only includes the final loosening angle, but also outputs the angle accuracy level and result confidence level at the same time, which intuitively reflects the reliability of the calculation result, greatly improves the efficiency and accuracy of operation and maintenance, further improves the accuracy and reliability of angle calculation, and further enables intelligent measurement and calculation of bolts or nuts based on the angle disk, which is conducive to improving the intelligence and efficiency of measuring the loosening angle of bolts or nuts, as well as improving the accuracy and reliability of measuring the loosening angle of bolts or nuts.

[0108] Example 3 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an angular displacement monitoring device based on an coded angle disk disclosed in an embodiment of the present invention. Figure 3 As shown, the angular displacement monitoring device based on the coded angle disk may include: The partitioning module 301 is used to perform a region partitioning operation on the angle disk and obtain the region partitioning result; The determination module 302 is used to determine the region coding information corresponding to each region division result according to a preset coding switching sequence; The construction module 303 is used to construct an angle detection disk based on each region division result and the region coding information corresponding to each region division result; wherein, the angle detection disk contains several digital bit hole contact units; The data acquisition module 304 is used to perform data acquisition operations on the component under test through the angle detection disk and obtain data acquisition results; wherein, the component under test includes a bolt or nut, and the data acquisition results include the angular displacement acquisition results of the component under test; The filtering module 305 is used to filter out target detection data from the data acquisition results; The acquisition module 306 is used to acquire the component attribute information of the component under test; The determining module 302 is also used to determine the coded detection result of the component under test based on the target detection data, component attribute information and the pre-determined measurement mapping relationship; and to determine the angular displacement monitoring result of the component under test based on the coded detection result; wherein the angular displacement monitoring result includes the loosening angle value of the component under test.

[0109] It is evident that implementation Figure 3 The described device can perform region division operations on an angle disk to obtain region division results, determine the region code information corresponding to each region division result according to the code switching sequence, and construct an angle detection disk; through the angle detection disk, perform data acquisition operations on the component under test to obtain data acquisition results, and filter out target detection data from the data acquisition results; acquire the component attribute information of the component under test, and determine the code detection result of the component under test based on the target detection data, component attribute information, and measurement mapping relationship; and determine the angular displacement monitoring result of the component under test based on the code detection result. This device can accurately divide the angle disk into multiple independent areas, and each area contains corresponding... The encoded information can improve the accuracy and reliability of determining the bolt loosening angle by corresponding with the angle. It can also determine the bolt angle calculation result through the encoded information, enabling accurate classification of bolt status and accurate calculation of bolt angle. Furthermore, it can accurately measure the bolt angle through the angle detection disc to prevent interference from the external environment, which further improves the accuracy and reliability of angle calculation. It can also perform intelligent measurement and calculation of bolts or nuts based on the angle disc, which improves the intelligence and efficiency of measuring the bolt or nut loosening angle, as well as the accuracy and reliability of measuring the bolt or nut loosening angle.

[0110] In an optional embodiment, such as Figure 4As shown, the acquisition module 306 is also used to acquire real-time scene information of the current scene where the component under test is located; The determination module 302 is also used to determine the angle verification threshold corresponding to the component under test based on real-time scene information; and to determine the angle detection status of the component under test based on the angular displacement monitoring results and the angle verification threshold. The device also includes: The judgment module 307 is used to determine whether the angle detection status meets the preset bolt fault conditions; The determination module 302 is also used to determine the bolt fault warning parameters corresponding to the component under test based on the preset bolt fault conditions and the angular displacement monitoring results when the judgment module determines that the angle detection state meets the preset bolt fault conditions. The generation module 308 is used to generate early warning processing parameters for the component under test based on the bolt fault early warning parameters; wherein, the early warning processing parameters include loosening early warning processing parameters; The processing module 309 is used to perform early warning processing operations on the component under test that match the early warning processing parameters.

[0111] It is evident that implementation Figure 4 The described device can acquire real-time scene information corresponding to the component under test and determine the corresponding angle verification threshold. Based on the angular displacement monitoring results and the angle verification threshold, it determines the angle detection state and judges whether the bolt fault condition is met. If the condition is met, it determines the bolt fault early warning parameters corresponding to the component under test, generates early warning processing parameters, and executes the matching early warning processing operation. By acquiring real-time scene information of the scene where the component under test is located, it dynamically matches differentiated angle verification thresholds, avoiding the problem of misjudgment or missed judgment under complex working conditions with fixed thresholds. It also helps to improve the intelligence of bolt condition detection and the adaptability between the bolt and the current scene. If the angle detection state meets the bolt fault condition... Under certain conditions, the system can intelligently determine the bolt fault warning parameters corresponding to the component under test. This improves the intelligence and efficiency of determining bolt fault warning parameters, as well as their accuracy and reliability. It also enhances the operational safety of the component under test, preventing errors caused by faults that could lead to equipment malfunctions. Furthermore, by providing early warnings of potential bolt faults, it avoids equipment downtime and safety accidents caused by bolt failure, indirectly reducing economic losses and demonstrating significant economic benefits. Compared to standardized warnings, customized parameters make the warning response more aligned with actual needs, avoiding resource waste and further improving the safety and reliability of bolt operation.

[0112] In another alternative embodiment, such as Figure 4 As shown, the data acquisition results include several digital signal acquisition results. The specific methods by which the filtering module 305 filters out the target detection data from the data acquisition results include: Based on the data acquisition results, determine the acquisition data order corresponding to the digital signal acquisition results, where the acquisition data order includes the acquisition order corresponding to all digital signal acquisition results; Determine the digital signal difference parameters corresponding to the data acquisition order, and determine whether there are any target abnormal parameters among all digital signal difference parameters that do not meet the predetermined data acquisition logic. The digital signal difference parameters include the digital bit difference parameters between every two digital signal acquisition results in the data acquisition order. When it is determined that there are target abnormal parameters in all digital signal difference parameters that do not meet the predetermined data acquisition logic, all target abnormal parameters are removed from the data acquisition results, and target detection data is generated based on the removed data acquisition results. The specific methods by which the filtering module 305 determines whether there are target abnormal parameters among all digital signal difference parameters that do not meet the predetermined data acquisition logic include: Determine whether there is a target signal difference parameter among all digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold. When it is determined that there is a target difference parameter among all digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is a target abnormal parameter among all digital signal difference parameters that does not meet the predetermined data acquisition logic; when it is determined that there is no target difference parameter among all digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is no target abnormal parameter among all digital signal difference parameters.

[0113] It is evident that implementation Figure 4The described device can determine the order of acquired data based on the data acquisition results, determine the digital signal difference parameters corresponding to the acquired data order, and determine whether there are target abnormal parameters that do not meet the preset data acquisition logic. If there are, the target abnormal parameters are removed to generate target detection data. It can accurately identify and remove abnormal parameters that change multiple digital bits at the same time through the change of digital bits. This method avoids abnormal signals from entering the calculation process, providing a precise data foundation for subsequent bolt angle calculations. It also transforms data acquisition logic into quantifiable threshold judgment rules for changes, eliminating the need for manual signal validity assessment and completely avoiding human experience bias. This standardizes and automates the screening process, significantly improving the consistency and reliability of the screening results. Abnormal signals with simultaneous changes in multiple digits can directly lead to angle mapping matching errors, resulting in angle calculation deviations. By pre-screening and eliminating abnormal parameters, the error propagation path is cut off at the source, making subsequent encoding matching and angle calculation based on target detection data more accurate. This improves the accuracy and reliability of the screened target detection data, as well as the intelligence and efficiency of the screened target detection data. Furthermore, it enhances the intelligence and efficiency of measuring bolt loosening angles, improving the accuracy and reliability of angle calculations. Finally, it enables intelligent measurement and calculation of bolts or nuts based on an angle dial, further improving the intelligence and efficiency of measuring bolt or nut loosening angles, as well as the accuracy and reliability of the measured bolt or nut loosening angles.

[0114] In yet another alternative embodiment, such as Figure 4 As shown, the acquisition module 306 is also used to acquire the reference attribute information corresponding to several reference components when the component to be tested includes bolts, before the determination module 302 determines the coded detection result of the component to be tested based on the target detection data, component attribute information and the pre-determined measurement mapping relationship. The determination module 302 is also used to determine the rotational correspondence between each reference component and the angle detection disk based on all reference attribute information and the angle detection disk. The rotational correspondence includes the correlation between the actual rotation angle value of each reference component and the angle measurement value of the angle detection disk. The generation module 308 is also used to generate a differentiated angle parameter mapping table based on the rotation correspondence between all reference components and the angle detection disk, and to generate a measurement mapping relationship based on the differentiated angle parameter mapping table.

[0115] It is evident that implementation Figure 4The described device can acquire several reference attribute information, determine the correspondence between each reference component and the angle detection disk based on the reference attribute information and the angle detection disk, and generate a differentiated angle parameter mapping table to generate a measurement mapping relationship. It can determine the rotation correspondence between the actual rotation angle of the bolt and the angle disk measurement value one by one based on the specification information of different bolts to be tested and in combination with the angle detection disk. It can also ensure the authenticity and accuracy of the data in the differentiated mapping table based on the correlation relationship of each bolt specification, providing highly reliable data support for coded detection results and bolt angle calculation. Furthermore, it can batch acquire the reference attribute information to be tested, batch generate rotation correspondence relationships and differentiated mapping tables, and has… This approach enhances the intelligence and efficiency of generating measurement mapping relationships. It establishes an independent angle association system for each bolt specification through a differentiated angle parameter mapping table. The corresponding mapping relationship can be quickly retrieved using the specification identifier in the component attribute information. This improves the accuracy and reliability of filtering target detection data, enhances the intelligence and efficiency of obtaining target detection data, further improves the accuracy and reliability of angle calculation, and enables intelligent measurement and calculation of bolts or nuts based on the angle disc. This also improves the intelligence and efficiency of measuring the loosening angle of bolts or nuts, as well as the accuracy and reliability of measuring the loosening angle of bolts or nuts.

[0116] In yet another alternative embodiment, such as Figure 4 As shown, the judgment module 307 is also used to determine whether there is any fractured data in all target detection data after the filtering module 305 has filtered out the target detection data from the data acquisition results. The device also includes: The verification module 310 is used to perform a data verification operation on all fracture state data when the judgment module 307 determines that fracture state data exists in all target detection data, and obtain a data verification result; wherein, the data verification result includes the data quantity verification result of fracture state data and the data continuity verification result of fracture state data. The judgment module 307 is also used to determine whether the data verification result meets the preset fracture judgment conditions; The determination module 302 is also used to determine that the component under test is in a bolt fracture state when the judgment module 307 determines that the data verification result meets the preset fracture judgment conditions. The generation module 308 is also used to generate fracture warning parameters that match the bolt fracture state.

[0117] It is evident that implementation Figure 4The described device can determine whether fracture state data exists in all target detection data. If it does, it performs data verification on all fracture state data to obtain data verification results and determines whether the data verification results meet the preset fracture judgment conditions. If they do, it determines that the component under test is in a bolt fracture state and generates corresponding fracture warning parameters. This device can accurately determine the fracture state and avoid false alarms and missed alarms. It can also improve the accuracy and reliability of the judgment through multi-dimensional data verification methods, and further improve the accuracy and reliability of data verification based on the comprehensiveness of the data verification dimensions. It can also generate exclusive warning parameters that accurately match the fracture state after confirming bolt fracture, which is conducive to timely and accurate early warning of bolt fracture, improving the efficiency and intelligence of risk response. Furthermore, the adaptability of the method in complex environments can be improved through software logic optimization, ensuring that the fracture judgment is not affected by the environment. The generated fracture warning parameters are deeply matched with the bolt fracture state, which can directly guide maintenance personnel to take precise handling measures, avoid confusion in maintenance decisions, improve the efficiency and accuracy of fault handling, and further improve the safety and reliability of bolts and corresponding equipment operation.

[0118] In yet another alternative embodiment, such as Figure 4 As shown, the specific method by which the determining module 302 determines the encoded detection result of the component under test based on the target detection data, component attribute information, and a pre-determined measurement mapping relationship includes: Based on the component attribute information and the pre-determined measurement mapping relationship, the measurement mapping parameters that match the component under test are determined in the measurement mapping relationship; Calculate the detection and measurement difference between the target detection data and the measurement mapping parameters, and determine the coded positioning parameters corresponding to the component under test based on the detection and measurement difference; Based on the coded positioning parameters, the coded signal positioning that matches the coded positioning parameters is determined in the angle detection disk, and the coded detection result of the component under test is determined based on the coded signal positioning.

[0119] It is evident that implementation Figure 4The described device can determine the measurement mapping parameters matching the component under test (BUT) based on component attribute information and measurement mapping relationships. It calculates the detection measurement difference between the target detection data and the measurement mapping parameters and determines the coded positioning parameters. Based on the detection measurement difference, it determines the corresponding coded positioning parameters for the BUT and, based on these parameters, determines the coded signal positioning in the angle detection disk that matches the coded positioning parameters, thereby determining the coded detection result of the BUT. It can directionally match specific measurement mapping parameters from the measurement mapping relationship based on the BUT's attribute information, avoiding matching deviations caused by sharing parameters between bolts of different specifications. This makes the mapping between the code and the angle more closely match the characteristics of the BUT, improving matching accuracy and reliability. Furthermore, by calculating the detection measurement difference between the target detection data and the measurement mapping parameters… Providing precise data support for coding and positioning improves the accuracy and reliability of determining coding and positioning parameters, as well as the precision of coding and positioning. The coding detection results integrate multi-dimensional information such as coding position, signal identifier, actual angle, and validity identifier. This not only clarifies the current coding status of the bolt but also provides complete basic data for subsequent bolt angle calculation. This improves the accuracy and reliability of subsequent coding detection results for the tested components, as well as the intelligence and efficiency of determining the coding detection results for the tested components. Furthermore, it improves the accuracy and reliability of angle calculation and enables intelligent measurement and calculation of bolts or nuts based on the angle plate. This also improves the intelligence and efficiency of measuring the loosening angle of bolts or nuts, as well as the accuracy and reliability of measuring the loosening angle of bolts or nuts.

[0120] In yet another alternative embodiment, such as Figure 4 As shown, the specific method by which the determining module 302 determines the angular displacement monitoring result of the component under test based on the encoded detection result includes: Based on the coding detection results, the target digital signal of the component under test is determined, and based on the target digital signal, the target position identifier corresponding to the component under test is determined; Based on the target location identifier, the target conversion parameters that match the target location identifier are determined. Based on the target conversion parameters and the pre-determined angle calculation coefficients, the angle calculation value of the component under test is determined. Based on the angle calculation value, the angular displacement monitoring result of the component under test is determined.

[0121] It is evident that implementation Figure 4The described device can determine the target digital signal of the component under test based on the encoded detection result, thereby determining the target position identifier corresponding to the component under test. Based on the target position identifier, it determines the matching target conversion parameters, and based on the target conversion parameters and pre-determined angle calculation coefficients, it determines the angle calculation value of the component under test, thus obtaining the angular displacement monitoring result of the component under test. It can extract the effective target digital signal from the encoded detection result, and further derive the two-dimensional target position identifier of the area and the encoded position, achieving unique and accurate positioning of the bolt on the angle detection plate. This is beneficial to improving the accuracy and reliability of positioning, as well as improving positioning precision. Each step of the derivation is based on quantitative data and fixed rules, without subjective judgment, avoiding result fluctuations caused by human intervention or scene differences. This further enhances the accuracy and reliability of positioning. The calculation rules for target location identification support multi-cycle rotation of the angle disk. The angle calculation value compensates for coaxiality deviation through mechanical installation correction coefficients, which can adapt to multi-cycle rotation and complex installation scenarios, thus improving versatility and practicality. The angular displacement monitoring results not only include the final loosening angle but also simultaneously output the angle accuracy level and result confidence level, intuitively reflecting the reliability of the calculation results and significantly improving operation and maintenance efficiency and accuracy. This further enhances the accuracy and reliability of angle calculation and enables intelligent measurement and calculation of bolts or nuts based on the angle disk, which improves the intelligence and efficiency of measuring the loosening angle of bolts or nuts, as well as the accuracy and reliability of measuring the loosening angle of bolts or nuts.

[0122] Example 4 Please see Figure 5 , Figure 5 This is a schematic diagram of another angular displacement monitoring device based on an coded angle disk disclosed in an embodiment of the present invention. Figure 5 As shown, the angular displacement monitoring device based on the coded angle disk may include: Memory 401 storing executable program code; Processor 402 coupled to memory 401; The processor 402 calls the executable program code stored in the memory 401 to execute some or all of the steps in any of the angular displacement monitoring methods based on the coded angle disk in Embodiment 1 of the present invention.

[0123] Example 5 This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute some or all of the steps in any of the angular displacement monitoring methods based on coded angle disks disclosed in Embodiment 1 of this invention.

[0124] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0125] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0126] Finally, it should be noted that the above embodiments are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for monitoring angular displacement based on an coded angle disk, characterized in that, The method includes: An angle detection disk is constructed by performing a region division operation on the angle disk to obtain the region division results. According to a preset encoding switching sequence, the region encoding information corresponding to each region division result is determined. An angle detection disk is constructed based on each region division result and the region encoding information corresponding to each region division result. The angle detection disk includes a number of digital bit hole contact units, wherein the digital bit hole contact unit of each region division result is electrically connected to the region encoding information in a one-to-one correspondence. The angle detection disk is used to perform data acquisition operations on the component under test to obtain data acquisition results, which include several digital signal acquisition results. Based on the data acquisition results, the acquisition data order corresponding to the digital signal acquisition results is determined, wherein the acquisition data order includes the acquisition order corresponding to all the digital signal acquisition results; The digital signal difference parameters corresponding to the data acquisition sequence are determined. It is then determined whether any of the digital signal difference parameters constitute a target anomaly parameter that does not meet the predetermined data acquisition logic. If not, all target anomaly parameters are removed from the data acquisition results, and target detection data is generated based on the removed data acquisition results. The digital signal difference parameters corresponding to the data acquisition sequence include the difference features between two adjacent digital signal acquisition results in the data acquisition sequence, and the digital signal difference parameters include the change in digital bits between two adjacent 4-bit binary codes. The component attribute information of the component under test is obtained, and the coded detection result of the component under test is determined based on the target detection data, the component attribute information, and the pre-determined measurement mapping relationship; wherein, the component attribute information includes the bolt diameter information, preload torque standard value information, installation position number information, and bolt application scenario information of the component under test, wherein, the preload torque standard value information includes the preload force information and torque information of the component under test; Based on the encoded detection results, the angular displacement monitoring results of the component under test are determined; wherein, the angular displacement monitoring results include the loosening angle value of the component under test; And, the determination of whether there are any target abnormal parameters among all the digital signal difference parameters that do not meet the predetermined data acquisition logic includes: Determine whether there is a target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold; When it is determined that there is a signal target difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to the preset change threshold, it is determined that there is a target abnormal parameter among all the digital signal difference parameters that does not meet the predetermined data acquisition logic; when it is determined that there is no signal target difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to the preset change threshold, it is determined that there is no target abnormal parameter among all the digital signal difference parameters. And, determining the encoding detection result of the component under test based on the target detection data, the component attribute information, and the pre-determined measurement mapping relationship includes: Based on the component attribute information, bolt attribute feature information is determined, and based on the bolt attribute feature information, measurement mapping parameters matching the bolt attribute feature information are determined in a pre-determined measurement mapping relationship. The measurement mapping parameters include one or more of the following: reference code position parameters, reference angle parameters, and reference specification correction parameters of the component to be measured.

2. The angular displacement monitoring method based on an coded angle disk according to claim 1, characterized in that, The method further includes: Obtain real-time scene information of the current scene where the component under test is located, and determine the angle verification threshold corresponding to the angular displacement of the component under test based on the real-time scene information; Based on the angular displacement monitoring results and the angle verification threshold, the angle detection status of the component under test is determined, and it is determined whether the angle detection status meets the preset bolt failure conditions. When it is determined that the angle detection state meets the preset bolt fault conditions, the bolt fault warning parameters corresponding to the component under test are determined according to the preset bolt fault conditions and the angular displacement monitoring results. Based on the bolt fault warning parameters, warning processing parameters for the component under test are generated, and a warning processing operation matching the warning processing parameters is performed on the component under test; wherein, the warning processing parameters include loosening warning processing parameters.

3. The angular displacement monitoring method based on an coded angle disk according to claim 1, characterized in that, The determination of whether there are any target abnormal parameters among all the digital signal difference parameters that do not meet the predetermined data acquisition logic includes: Determine whether there is a target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold; When it is determined that there is a target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is a target abnormal parameter among all the digital signal difference parameters that does not meet the predetermined data acquisition logic; when it is determined that there is no target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold, it is determined that there is no target abnormal parameter among all the digital signal difference parameters. The digital signal difference parameter includes the difference characteristics of the acquisition results of two adjacent digital signals in the acquisition data sequence, and the difference characteristics of the acquisition results of two adjacent digital signals in the acquisition data sequence include the change in digital bits between two adjacent 4-bit binary codes.

4. The angular displacement monitoring method based on an coded angle disk according to claim 2, characterized in that, Before determining the coding detection result of the component under test based on the target detection data, the component attribute information, and the pre-determined measurement mapping relationship, the method further includes: Obtain reference attribute information corresponding to several reference components. Based on all the reference attribute information and the angle detection disk, determine the rotation correspondence between each reference component and the angle detection disk. The reference attribute information includes the attribute information corresponding to the reference bolt and / or reference nut that has been predetermined. The rotation correspondence includes the correlation between the actual rotation angle value of each reference component and the angle measurement value of the angle detection disk. Based on the rotational correspondence between all the reference components and the angle detection disk, a differentiated angle parameter mapping table is generated, and a measurement mapping relationship is generated based on the differentiated angle parameter mapping table; The reference attribute information corresponding to the reference component includes a set of parameters for characterizing the core characteristics of each reference component. The reference attribute information corresponding to the reference component includes nominal diameter, thread pitch, bolt head thickness, material yield strength, and bolt design preload torque.

5. The angular displacement monitoring method based on an coded angle disk according to claim 2, characterized in that, When the component to be tested includes the bolt, after generating target detection data based on the data acquisition results after rejection, the method further includes: Determine whether any of the target detection data contains data indicating a fracture state. When it is determined that the fracture state data exists in all the target detection data, a data verification operation is performed on all the fracture state data to obtain a data verification result; wherein, the data verification result includes the data quantity verification result of the fracture state data and the data continuity verification result of the fracture state data; Determine whether the data verification result meets the preset fracture determination conditions; When it is determined that the data verification result meets the preset fracture judgment condition, the component under test is determined to be in a bolt fracture state, and a fracture warning parameter matching the bolt fracture state is generated.

6. The angular displacement monitoring method based on an coded angle disk according to claim 1, characterized in that, The step of determining the encoding detection result of the component under test based on the target detection data, the component attribute information, and the pre-determined measurement mapping relationship includes: Based on the component attribute information and the pre-determined measurement mapping relationship, the measurement mapping parameters matching the component under test are determined in the measurement mapping relationship; Calculate the detection measurement difference between the target detection data and the measurement mapping parameters, and determine the coding positioning parameters corresponding to the component under test based on the detection measurement difference; Based on the coded positioning parameters, a coded signal positioning that matches the coded positioning parameters is determined in the angle detection disk, and the coded detection result of the component under test is determined based on the coded signal positioning. The measurement mapping parameters include one or more of the following: reference code position parameters, reference angle parameters, and reference specification correction parameters of the component under test. The reference code position parameters include the angle detection disc code position parameters corresponding to the pre-tightening state of the component under test; the reference angle parameters include the actual rotation reference angle of the bolt; and the reference specification correction parameters include the angle deviation correction coefficient specific to the specifications of the component under test. And, the step of calculating the detection measurement difference between the target detection data and the measurement mapping parameters, and determining the coding positioning parameters corresponding to the component under test based on the detection measurement difference, includes: Calculate the encoding position difference and the reference angle difference between the target detection data and the measurement mapping parameters, and determine the detection measurement difference based on the encoding position difference and the reference angle difference; wherein, the encoding position difference includes the sequence difference between the current encoding position and the reference encoding position, and the reference angle difference includes the angle difference corresponding to the change in encoding position; Based on the detection and measurement difference, the core parameters of the actual position of the coded signal of the component under test are determined, and the corresponding coded positioning parameters of the component under test are determined according to the core parameters of the actual position of the coded signal of the component under test; wherein, the core parameters of the actual position of the coded signal of the component under test include the actual coded position, the effective coded change amount, and the positioning confidence.

7. The angular displacement monitoring method based on an coded angle disk according to claim 6, characterized in that, The step of determining the angular displacement monitoring result of the component under test based on the encoded detection result includes: Based on the encoding detection results, the target digital signal of the component under test is determined, and based on the target digital signal, the target position identifier corresponding to the component under test is determined; Based on the target location identifier, a target conversion parameter matching the target location identifier is determined. Based on the target conversion parameter and a pre-determined angle calculation coefficient, the angle calculation value of the component under test is determined. Based on the angle calculation value, the angular displacement monitoring result of the component under test is determined. The step of determining the target digital signal of the component under test based on the encoding detection result, and determining the target location identifier corresponding to the component under test based on the target digital signal, includes: Based on the encoding detection result, the valid encoding signal corresponding to the valid identifier in the encoding detection result is determined, and a data conversion operation is performed on the valid encoding signal to obtain the target digital signal. The data conversion operation includes converting the valid encoding signal into a 4-bit binary encoding conversion operation, and the target digital signal includes the encoding signal corresponding to the valid identifier in the encoding detection result. Based on the target digital signal, a unique position identifier of the component under test on the angle detection disk is determined, and the target position identifier corresponding to the component under test is determined according to the unique position identifier. And, the step of determining a target transformation parameter matching the target location identifier based on the target location identifier, and determining the angle calculation value of the component under test according to the target transformation parameter and a pre-determined angle calculation coefficient, includes: Based on the target location identifier, the angle conversion basic parameters corresponding to the target location identifier are determined, and the target conversion parameters are determined according to the angle conversion basic parameters; wherein, the angle conversion basic parameters include single code location angle increment parameters and area reference offset angle parameters, the single code location angle increment parameters include a fixed angle value corresponding to each code location, and the area reference offset angle parameters include the initial offset angle of each area relative to the reference area. Based on the target conversion parameters and the predetermined angle calculation coefficient, the original calculated value of the bolt rotation angle is calculated, and the angle calculation value of the component to be measured is determined based on the original calculated value of the bolt rotation angle; wherein, the predetermined angle calculation coefficient is 0.

5.

8. An angular displacement monitoring device based on an coded angle disk, characterized in that, The device includes: The partitioning module is used to perform region partitioning operations on the angle disk and obtain the region partitioning results; The determining module is used to determine the region coding information corresponding to each region division result according to a preset coding switching sequence; A construction module is used to construct an angle detection disk based on each of the region division results and the region coding information corresponding to each of the region division results; wherein, the angle detection disk includes a plurality of digital bit hole contact units, wherein the digital bit hole contact unit of each region division result is electrically connected to the region coding information one by one; The data acquisition module is used to perform data acquisition operations on the component under test through the angle detection disk and obtain data acquisition results; wherein, the component under test includes a bolt or nut, and the data acquisition results include the angular displacement acquisition results of the component under test; the data acquisition results include several digital signal acquisition results; A filtering module is used to determine the acquisition data order corresponding to the digital signal acquisition results based on the data acquisition results, wherein the acquisition data order includes the acquisition order corresponding to all the digital signal acquisition results; determine the digital signal difference parameters corresponding to the acquisition data order; determine whether there are any target abnormal parameters among all the digital signal difference parameters that do not meet the predetermined data acquisition logic; if not, remove all the target abnormal parameters from the data acquisition results, and generate target detection data based on the removed data acquisition results; wherein the digital signal difference parameters corresponding to the acquisition data order include the difference features between two adjacent digital signal acquisition results in the acquisition data order, and the digital signal difference parameters include the change in digital bits between two adjacent 4-bit binary codes; The acquisition module is used to acquire the component attribute information of the component under test; The determining module is further configured to determine the coded detection result of the component under test based on the target detection data, the component attribute information, and the pre-determined measurement mapping relationship; and to determine the angular displacement monitoring result of the component under test based on the coded detection result; wherein the angular displacement monitoring result includes the loosening angle value of the component under test, wherein the component attribute information includes the bolt diameter information, preload torque standard value information, installation position number information, and bolt application scenario information of the component under test, wherein the preload torque standard value information includes the preload force information and torque information of the component under test; The specific method by which the filtering module determines whether there are target abnormal parameters among all the digital signal difference parameters that do not meet the predetermined data acquisition logic includes: Determine whether there is a target signal difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to a preset change threshold; When it is determined that there is a signal target difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to the preset change threshold, it is determined that there is a target abnormal parameter among all the digital signal difference parameters that does not meet the predetermined data acquisition logic; when it is determined that there is no signal target difference parameter among all the digital signal difference parameters whose digital bit change is greater than or equal to the preset change threshold, it is determined that there is no target abnormal parameter among all the digital signal difference parameters. Furthermore, the specific method by which the determining module determines the encoded detection result of the component under test based on the target detection data, the component attribute information, and the pre-determined measurement mapping relationship includes: Based on the component attribute information, bolt attribute feature information is determined, and based on the bolt attribute feature information, measurement mapping parameters matching the bolt attribute feature information are determined in a pre-determined measurement mapping relationship. The measurement mapping parameters include one or more of the following: reference code position parameters, reference angle parameters, and reference specification correction parameters of the component to be measured.

9. An angular displacement monitoring device based on an coded angle disk, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the angular displacement monitoring method based on the coded angle disk as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the angular displacement monitoring method based on an coded angle disk as described in any one of claims 1-7.

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