Intelligent detection method and device for bolt status

Abstract

The present invention discloses a method and device for intelligent detection of bolt status, the method comprising: determining a target bolt to be detected according to a predetermined bolt status detection requirement; determining a target data collector for data collection of the target bolt according to bolt information corresponding to the target bolt and the bolt status detection requirement, the target data collector being used to perform data collection operations for the target bolt; analyzing the state of the target bolt according to the bolt status detection requirement, the target bolt data collected by the target data collector for the target bolt, and the bolt status analysis model, and obtaining a state analysis result of the target bolt. It can be seen that the implementation of the present invention can intelligently detect the state of the bolts contained in the target device, which is conducive to improving the accuracy and intelligence of detecting the bolt state, and further conducive to improving the stability and safety of the operation of the target device.

Description

Technical Field

[0001] The present invention relates to the field of intelligent detection technology, and in particular to a method and device for intelligent detection of bolt status. Background Art

[0002] With the continuous development of science and technology, the large-scale wind turbine is the current general trend. The tower, frame, nacelle, blades and other parts of the wind turbine are basically connected by bolts, and a large number of high-strength bolts are used to achieve a stable connection between various accessories. However, the wind turbine is a long-term rotating equipment, and the bolts will have corresponding wear and tear. Once the bolts become loose or broken, it will affect the normal operation of the wind turbine.

[0003] At present, the method for detecting bolts on wind turbines is to detect bolts through manual regular inspections, but each inspection cycle is long and relies on manual marking and judgment of each bolt, which has the problem of low accuracy of bolt detection, and further leads to safety hazards during the operation of wind turbines. It can be seen that it is particularly important to provide a new bolt abnormality detection method to improve the accuracy and reliability of bolt detection and thus improve the operating safety of wind turbines. Summary of the invention

[0004] The present invention provides a method and device for intelligently detecting the status of bolts, which can intelligently detect the status of bolts, which is beneficial to improving the accuracy and reliability of detecting the status of bolts, as well as improving the intelligence and efficiency of detecting the status of bolts, and further beneficial to improving the stability and safety of the operation of target equipment.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses a method for intelligent detection of bolt status, which is applied to a target device, in which a plurality of data collectors and a plurality of bolts are installed, and the data collector at least includes a bolt status monitoring sensor, wherein the method includes:

[0006] Determine the target bolts to be inspected according to the predetermined bolt status inspection requirements;

[0007] According to the bolt information corresponding to the target bolt and the bolt state detection requirement, determining a target data collector for data collection on the target bolt, wherein the target data collector is used to perform a data collection operation on the target bolt;

[0008] Analyze the state of the target bolt according to the bolt state detection requirement, the target bolt data collected by the target data collector for the target bolt, and a predetermined bolt state analysis model to obtain a state analysis result of the target bolt;

[0009] The state analysis result includes one or more of a loosening angle of the target bolt, a preload force corresponding to the loosening angle of the target bolt, and a fracture analysis result of the target bolt.

[0010] The second aspect of the present invention discloses a bolt state intelligent detection device, which is applied to a target device, wherein a plurality of data collectors and a plurality of bolts are installed in the target device, wherein the data collector at least includes a bolt state monitoring sensor, wherein the device includes:

[0011] A first determination module is used to determine a target bolt to be detected according to a predetermined bolt state detection requirement;

[0012] A second determination module is used to determine a target data collector for data collection on the target bolt according to the bolt information corresponding to the target bolt and the bolt state detection requirement, wherein the target data collector is used to perform a data collection operation on the target bolt;

[0013] An analysis module, configured to analyze the state of the target bolt according to the bolt state detection requirement, the target bolt data collected by the target data collector for the target bolt, and a predetermined bolt state analysis model, and obtain a state analysis result of the target bolt;

[0014] The state analysis result includes one or more of a loosening angle of the target bolt, a preload force corresponding to the loosening angle of the target bolt, and a fracture analysis result of the target bolt.

[0015] The third aspect of the present invention discloses another intelligent bolt status detection device, the device comprising:

[0016] A memory storing executable program code;

[0017] a processor coupled to the memory;

[0018] The processor calls the executable program code stored in the memory to execute the intelligent bolt status detection method disclosed in the first aspect of the present invention.

[0019] The fourth aspect of the present invention discloses a computer storage medium, wherein the computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent detection method for bolt status disclosed in the first aspect of the present invention.

[0020] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0021] In an embodiment of the present invention, a plurality of data collectors and a plurality of bolts are installed in the target device, and the method comprises: determining the target bolts to be detected according to the predetermined bolt state detection requirements; determining the target data collector for data collection of the target bolts according to the bolt information corresponding to the target bolts and the bolt state detection requirements, the target data collector is used to perform data collection operations for the target bolts; analyzing the state of the target bolts according to the bolt state detection requirements, the target bolt data collected by the target data collector for the target bolts, and the bolt state analysis model, and obtaining the state analysis results of the target bolts. It can be seen that the implementation of the present invention can intelligently detect the state of the bolts contained in the target device, which is conducive to improving the accuracy and reliability of the detection of the bolt state, and is conducive to improving the intelligence and efficiency of the detection of the bolt state, and further conducive to improving the stability and safety of the operation of the target device. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a flow chart of a method for intelligently detecting bolt status disclosed in an embodiment of the present invention;

[0024] Figure 2 It is a flow chart of another intelligent bolt status detection method disclosed in an embodiment of the present invention;

[0025] Figure 3 It is a structural schematic diagram of a bolt status intelligent detection device disclosed in an embodiment of the present invention;

[0026] Figure 4 It is a structural schematic diagram of another intelligent bolt status detection device disclosed in an embodiment of the present invention;

[0027] Figure 5 It is a structural schematic diagram of another intelligent bolt status detection device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0029] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0030] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0031] The present invention discloses a method and device for intelligently detecting the state of bolts, which can intelligently detect the state of bolts contained in a target device, and is conducive to improving the accuracy and reliability of detecting the state of bolts, as well as improving the intelligence and efficiency of detecting the state of bolts, and further, is conducive to improving the stability and safety of the operation of the target device. The following are detailed descriptions.

[0032] Embodiment 1

[0033] See also Figure 1 , Figure 1 The figure is a flow chart of a bolt state intelligent detection method disclosed in an embodiment of the present invention. In the target device, a plurality of data collectors and a plurality of bolts are installed. The data collector at least includes a bolt state monitoring sensor. Figure 1 The described bolt status intelligent detection method can be used in a bolt status intelligent detection device, or can be applied to the target device itself, wherein the bolt status intelligent detection device can be integrated in a cloud server or a local server, and the target device can be a wind turbine, which is not limited in the embodiments of the present invention. Figure 1 As shown, the bolt status intelligent detection method may include the following operations:

[0034] 101. According to the predetermined bolt status detection requirements, determine the target bolts to be detected.

[0035] In the embodiment of the present invention, optionally, the number of target bolts to be detected may be one or more, and further, the target bolts to be detected may be some of the bolts included in the target device, or may be all the bolts installed on the target device, which is not specifically limited in the embodiment of the present invention. Furthermore, the target device may be a wind turbine, a large machine, or a bridge, which is not specifically limited in the embodiment of the present invention.

[0036] In an embodiment of the present invention, optionally, the predetermined bolt status detection requirement may include one or more of quantity detection requirement, duration detection requirement, detection time requirement, detection frequency requirement, and detection number requirement, which is not specifically limited in the embodiment of the present invention.

[0037] In the embodiment of the present invention, optionally, the determining of the target bolt to be detected according to the predetermined bolt state detection requirement may include:

[0038] According to the predetermined bolt state detection requirement, a target bolt matching the bolt state detection requirement is determined from all the bolts installed in the target device.

[0039] 102. According to the bolt information corresponding to the target bolt and the bolt status detection requirement, determine the target data collector for collecting data on the target bolt.

[0040] In the embodiment of the present invention, the target data collector is used to perform data collection operations on the target bolts.

[0041] In an embodiment of the present invention, optionally, the bolt information corresponding to the target bolt may include one or more of the target bolt's installation position information, target bolt's specification information, target bolt's size information, target bolt's material information, target bolt's identification information, target bolt's installation time information, and target bolt's maintenance information.

[0042] In the embodiment of the present invention, optionally, the target data collector for collecting data on the target bolt may be a bolt state monitoring sensor; wherein the bolt state monitoring sensor can be used to collect state data of the target bolt.

[0043] In an embodiment of the present invention, optionally, the number of target data collectors can be one or more; further, each target data collector can be used to collect bolt data of one target bolt, and the target data collector can also be used to collect bolt data of multiple target bolts, which is not specifically limited in the embodiment of the present invention.

[0044] In an embodiment of the present invention, optionally, the target data collector may perform data collection operations on the target bolts in real time, or may perform data collection on the target bolts according to a preset time period, or may perform data collection on the target bolts at a collection time corresponding to a bolt status detection requirement, which is not specifically limited in the embodiment of the present invention.

[0045] In the embodiment of the present invention, optionally, the above-mentioned determining a target data collector for collecting data on a target bolt according to the bolt information corresponding to the target bolt and the bolt state detection requirement may include:

[0046] According to the bolt information corresponding to the target bolt and the bolt state detection requirements, the data collection requirement parameters corresponding to the target bolt are generated, wherein the data collection requirement parameters include one or more of the data collection time requirement parameters, the data collection duration requirement parameters, and the data collection position requirement parameters;

[0047] Based on the data collection requirement parameters corresponding to the target bolt, a target data collector matching the data collection requirement parameters is determined from all data collectors installed in the target device.

[0048] 103. According to the bolt state detection requirements, the target bolt data collected by the target data collector for the target bolt, and the predetermined bolt state analysis model, the state of the target bolt is analyzed to obtain the state analysis result of the target bolt.

[0049] In the embodiment of the present invention, optionally, the target bolt data includes one or more of bolt angle data and bolt position data. For example, the bolt angle data may include one or more of current angle data of the target bolt and angle difference data between the current angle data and a preset installation reference angle; the bolt position data may include installation position data of the target bolt.

[0050] In the embodiment of the present invention, the state analysis result includes one or more of a loosening angle of a target bolt, a pre-tightening force corresponding to the loosening angle of the target bolt, and a fracture analysis result of the target bolt.

[0051] In an embodiment of the present invention, optionally, the loosening angle of the target bolt may include an angle difference value between a current angle of the target bolt and an initial installation angle corresponding to the target bolt; the preload force corresponding to the loosening angle of the target bolt is a preload force generated along the axial direction of the bolt between the bolt and the connected part under the action of the tightening torque during the bolt tightening process, and this preload force has an important influence on the reliability, anti-loosening ability and fatigue strength of the bolt connection; the fracture analysis result of the target bolt may include an analysis result corresponding to whether the target bolt is in a fractured state.

[0052] In an embodiment of the present invention, optionally, the state analysis result of the target bolt may include the current state analysis result of the target bolt. Further optionally, the state analysis result of the target bolt may include one of a state analysis result for indicating that the target bolt is currently in a normal operating state, a state analysis result for indicating that the target bolt is currently in a loose state, and a state analysis result for indicating that the target bolt is currently in a broken state. For example, if the state of the target bolt obtained by analysis is used to indicate that the current angle of the target bolt is the same as the preset reference angle, the state analysis result of the target bolt is determined to be a state analysis result of a normal operating state, and the target bolt has not loosened or broken; if the state of the target bolt obtained by analysis is used to indicate that the angle difference between the current angle of the target bolt and the preset reference angle is large, the state analysis result of the target bolt is determined to be a state analysis result of a loose state, and the target bolt has loosened.

[0053] It can be seen that implementation Figure 1 The described intelligent detection method for bolt status can determine the target bolt to be detected according to the predetermined bolt status detection requirement, determine the target data collector according to the bolt information corresponding to the target bolt and the bolt status detection requirement, and analyze the state of the target bolt according to the bolt status detection requirement, the target bolt data and the bolt status analysis model to obtain the state analysis result of the target bolt, and can specifically determine the target bolt to be detected, and can accurately locate the target bolt to be detected, which is conducive to improving the efficiency of detecting the target bolt in the target equipment, and can intelligently select the data collector matching the target bolt in combination with the bolt information of the target bolt and the bolt status detection requirement, which is conducive to improving the accuracy and effectiveness of bolt data collection, and at the same time, it is conducive to improving the professionalism and reliability of analyzing and detecting the bolt status of the target bolt, so as to improve the accuracy and reliability of state detection of the bolt installed on the target equipment, and to improve the intelligence and efficiency of state detection of the bolt installed on the target equipment, and then can also accurately analyze the state corresponding to the bolt installed on the target equipment, and can formulate a corresponding more reasonable and more efficient maintenance strategy based on the state analysis result of the bolt, and is also conducive to improving the stability and safety of the operation of the target equipment.

[0054] Embodiment 2

[0055] See also Figure 2 , Figure 2 1 is a flow chart of another intelligent detection method for bolt status disclosed in an embodiment of the present invention. In which, a plurality of data collectors and a plurality of bolts are installed in the target device, and the data collector at least includes a bolt status monitoring sensor, Figure 2The described bolt status intelligent detection method can be used in a bolt status intelligent detection device, or can be applied to the target device itself, wherein the bolt status intelligent detection device can be integrated in a cloud server or a local server, and the target device can be a wind turbine, which is not limited in the embodiments of the present invention. Figure 2 As shown, the bolt status intelligent detection method may include the following operations:

[0056] 201. According to the predetermined bolt status detection requirement, determine the target bolt to be detected.

[0057] 202. Determine a target data collector for collecting data on the target bolt according to bolt information corresponding to the target bolt and bolt status detection requirements.

[0058] In the embodiment of the present invention, the target data collector is used to perform data collection operations on the target bolts.

[0059] 203. According to the bolt state detection requirement, the target bolt data collected by the target data collector for the target bolt, and the predetermined bolt state analysis model, the state of the target bolt is analyzed to obtain a state analysis result of the target bolt.

[0060] In the embodiment of the present invention, for the detailed description of steps 201 to 203, please refer to the other descriptions of steps 101 to 103 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0061] 204. According to the status analysis result of each target bolt, the bolts to be processed are determined from all the target bolts.

[0062] In the embodiment of the present invention, optionally, the number of bolts to be processed may be one or more, which is not specifically limited in the embodiment of the present invention.

[0063] In the embodiment of the present invention, optionally, the above-mentioned determining the bolts to be processed from all target bolts according to the state analysis result of each target bolt may include:

[0064] According to the state analysis result of each target bolt, the abnormal state analysis result is screened out from all the state analysis results, and the target bolt corresponding to the abnormal state analysis result is determined as the bolt to be processed;

[0065] Among them, the abnormal state analysis result includes a bolt loose state analysis result and / or a bolt broken state analysis result; wherein the bolt loose state analysis result is used to indicate that the target bolt is in a loose installation state, and the bolt broken state analysis result is used to indicate that the target bolt is in a bolt broken state.

[0066] 205. Obtain scene information corresponding to the current scene where the target device is located.

[0067] In the embodiment of the present invention, the scene information at least includes environmental information.

[0068] In an embodiment of the present invention, optionally, the environmental information may include one or more of wind direction information, wind speed information, atmospheric pressure information, humidity information, and temperature information of the current scene; further, the scene information corresponding to the current scene may also include target device operation information, wherein the target device operation information may include one or more of the target device's rotation speed information, power information, current information, voltage information, vibration information, and noise information.

[0069] In the embodiment of the present invention, optionally, the scene information corresponding to the current scene where the target device is located can be obtained in real time or can be obtained periodically according to a preset time period, which is not specifically limited in the embodiment of the present invention. Further optionally, the scene information corresponding to the current scene where the target device is located can be obtained through one or more of a visual sensor, a temperature sensor, a wind speed sensor, a wind direction sensor, a humidity sensor, a current sensor, and a vibration sensor.

[0070] 206. According to the status analysis result of the bolt to be processed and the scene information, determine whether the bolt to be processed meets the preset status recovery condition.

[0071] 207. When it is determined that the bolt to be processed meets a preset state recovery condition, a state recovery operation is performed on the bolt to be processed based on a state analysis result of the bolt to be processed and a predetermined state recovery logic.

[0072] In the embodiment of the present invention, based on the state analysis result of the bolt to be processed and the predetermined state recovery logic, a state recovery operation is performed on the bolt to be processed, including:

[0073] Based on the state analysis result of the bolt to be processed and the predetermined state recovery logic, a bolt state recovery parameter of the bolt to be processed is generated, and a state recovery operation matching the bolt state recovery parameter is performed on the bolt to be processed.

[0074] In the embodiment of the present invention, further optionally, the above method may also include:

[0075] When it is determined that the bolt to be processed does not meet the preset state recovery condition, this process can be ended.

[0076] In an embodiment of the present invention, optionally, the predetermined state recovery logic may include manual recovery logic or automatic recovery logic. Further optionally, if there are multiple bolts to be processed, the bolt state recovery parameters corresponding to different bolts to be processed may be the same or different, and the embodiment of the present invention does not make specific limitations. For example, if the state analysis result of the bolt to be processed is used to indicate that the bolt to be processed is currently in a loose bolt state, then based on the predetermined state recovery logic, a reset processing operation matching the bolt state recovery parameter is performed on the bolt to be processed, so that the state corresponding to the bolt to be processed is restored to a normal operating state.

[0077] It can be seen that implementation Figure 2 The described intelligent detection method for bolt status can determine the bolt to be processed according to the status analysis result of each target bolt, judge whether the bolt to be processed meets the status recovery condition according to the status analysis result of the bolt to be processed and the scene information of the current scene obtained, and if it meets the condition, generate the status recovery parameter of the bolt to be processed based on the status analysis result and the status recovery logic, and perform the status recovery operation matching the bolt status recovery parameter on the bolt to be processed. The bolt to be processed can be comprehensively determined based on the status analysis result of each target bolt combined with the scene information, and can be analyzed in combination with various information, which is conducive to improving the accuracy and reliability of determining the bolt to be processed, and can generate the corresponding status recovery parameter based on the predetermined status recovery logic and the status analysis result of the bolt to be processed, and then perform the corresponding status recovery operation on the bolt to be processed, which is conducive to improving the intelligence, efficiency and reliability of the recovery processing of the bolt to be processed, so as to ensure that each bolt can be processed in a targeted manner, improve the recovery effect of each bolt to be processed, and then accurately analyze the corresponding status of the bolt installed on the target device, and formulate a corresponding more reasonable and more efficient maintenance strategy based on the status analysis result of the bolt, which is also conducive to improving the stability and safety of the operation of the target device.

[0078] In an optional embodiment, after determining a target data collector for collecting data on the target bolt according to the bolt information corresponding to the target bolt and the bolt state detection requirement, the method further includes:

[0079] Acquire historical data corresponding to the target data collector, wherein the historical data includes one or more of the historical data collection results of the target data collector and the historical collection process corresponding to the historical data collection results of the target data collector;

[0080] According to the historical data of the target data collector, the acquisition logic information of the target data collector is determined; wherein the acquisition logic information is used to control the target data collector to perform corresponding data acquisition operations on the target bolt.

[0081] In this optional embodiment, optionally, the historical data corresponding to the target data collector includes historical data collection results corresponding to the target data collector in the past historical time period and the historical collection process corresponding to the historical data collection results.

[0082] In this optional embodiment, optionally, the historical data collection results of the target data collector include one or more of the angle data collection results, displacement data collection results, and fracture data collection results of the target bolt; the historical collection process corresponding to the historical data collection results includes one or more of the specific time of each data collection by the target data collector, the frequency information of data collection, the time interval information of data collection, and the signal strength information of data collection.

[0083] In this optional embodiment, the number of target data collectors may be one or more, which is not specifically limited in the embodiment of the present invention. Further optionally, when the number of target data collectors is more than one, the acquisition logic information corresponding to different target data collectors may be different; further, each target data collector has acquisition logic information matching it.

[0084] In this optional embodiment, optionally, the above-mentioned determining the acquisition logic information of the target data collector according to the historical data of the target data collector may include:

[0085] Performing a data processing operation on the historical data of the target data collector to obtain the target historical data, wherein the data processing operation includes one or more of a data cleaning operation and a data preprocessing operation, wherein the data preprocessing operation includes one or more of a data deduplication operation, a data outlier removal operation, and a data error value removal operation;

[0086] Performing data analysis operations on target historical data to generate data distribution rules corresponding to the target historical data, wherein the data distribution rules include change trend rules corresponding to the target historical data;

[0087] Based on the target historical data and data distribution law, determine the data collection requirement information of the target data collector, wherein the data collection requirement information includes one or more of data collection frequency requirement information, data collection accuracy requirement information, and data collection time interval information;

[0088] According to the data collection requirement information of the target data collector, the collection logic information of the target data collector is determined; wherein the collection logic information of the target data collector matches the data collection requirement information of the target data collector.

[0089] In this optional embodiment, optionally, for example, the acquisition logic information of the target data collector may include one or more of the data acquisition time, data acquisition interval, data acquisition frequency, data acquisition times, and data acquisition accuracy of the target data collector; if the acquisition logic information of the target data collector is used to indicate that the target data collector needs to perform an angle data acquisition operation on target bolt No. 1 at 10:00 am, the target data collector obtains the angle data of target bolt No. 1 at 10:00 am.

[0090] It can be seen that the implementation of this optional embodiment can obtain historical data including historical data collection results of the target data collector and historical data of the historical collection process corresponding to the historical data collection results of the target data collector, determine the collection logic information of the target data collector according to the historical data of the target data collector, so as to control the target data collector to perform corresponding data collection operations on the target bolt, and can determine the corresponding logic information based on the historical data corresponding to the target data collector, which is conducive to improving the accuracy and reliability of the determined collection logic information, and is conducive to improving the matching degree between the determined collection logic information and the target bolt, and can optimize the data collection logic of the target data collector, improve the overall efficiency of data collection for the target bolt, and can identify and correct its potential collection errors or collection anomalies in combination with the historical data of the target data collector during actual operation, so as to improve the accuracy of the target bolt. It can improve the accuracy and reliability of data collection operations, and is conducive to improving the intelligence of executing data collection operations on target bolts. When there are multiple target data collectors, it can determine the data collection logic corresponding to each target data collector in a targeted manner, and can determine the optimal collection strategy for each target data collector to achieve personalized data collection, which is conducive to improving the accuracy and reliability of the data collection logic generated for each target data collector, and further helps to optimize the process of data collection for the target bolts through the target data collector, which is conducive to improving the quality of the collected data, and is conducive to realizing the personalized collection strategy of the target data collector. It is further conducive to accurately analyzing the corresponding status of the bolts installed on the target equipment. Based on the status analysis results of the bolts, a corresponding more reasonable and more efficient maintenance strategy can be formulated, which is also conducive to improving the stability and safety of the target equipment operation.

[0091] In another optional embodiment, according to the bolt state detection requirement, the target bolt data collected by the target data collector for the target bolt, and the predetermined bolt state analysis model, the state of the target bolt is analyzed to obtain the state analysis result of the target bolt, including:

[0092] According to the bolt status detection requirements, determine the bolt status analysis type corresponding to the target bolt;

[0093] According to the bolt state analysis type, a corresponding bolt state analysis model is matched, and the bolt state analysis model includes a single-chip bolt state analysis model or a dual-chip bolt state analysis model;

[0094] When the bolt state analysis model includes a single-chip bolt state analysis model, the target bolt data is analyzed according to the single-chip bolt state analysis model to obtain a state analysis result of the target bolt;

[0095] When the bolt state analysis model includes a dual-chip bolt state analysis model, a data comparison operation is performed on the target bolt data and the predetermined reference bolt data according to the dual-chip bolt state analysis model to obtain the data comparison result of the target bolt, and the state analysis result of the target bolt is determined based on the data comparison result of the target bolt.

[0096] In this optional embodiment, optionally, determining the bolt state analysis type corresponding to the target bolt according to the bolt state detection requirement may include: extracting state analysis keywords in the bolt state detection requirement, and determining the bolt state analysis type corresponding to the target bolt based on the state analysis keywords.

[0097] In this optional embodiment, optionally, the bolt status analysis type includes a single-chip analysis type or a dual-chip analysis type.

[0098] In this optional embodiment, optionally, when the bolt state analysis model includes a single-chip bolt state analysis model, the above-mentioned analysis of the target bolt data according to the single-chip bolt state analysis model to obtain the state analysis result of the target bolt may include: when the bolt state analysis model includes a single-chip bolt state analysis model, inputting the target bolt data into the single-chip bolt state analysis model to obtain first bolt output data, and judging whether the first data output data is the preset target output data; when judging that the first data output data is the preset target output data, when judging that the first data output data is the preset target output data, determining that the state analysis result of the target bolt is used to indicate that the target bolt is a normal state analysis result; when judging that the first data output data is not the preset target output data, determining that the state analysis result of the target bolt is used to indicate that the target bolt is an abnormal state analysis result. For example, if the single-chip bolt state analysis model reads that the target bolt data is in a normal state, the first data output data may be no output data; if the single-chip bolt state analysis model reads that the target bolt data is EA, the first data output data is not the preset target output data, then EA is output and EA is used to indicate that the target bolt is in a loosening warning state; if the single-chip bolt state analysis model reads that the target bolt data is CB, the first data output data is not the preset target output data, then CB is output and CB is used to indicate that the target bolt is in a fracture alarm state.

[0099] In this optional embodiment, optionally, when the bolt state analysis model includes a dual-chip bolt state analysis model, performing a data comparison operation on the target bolt data and the predetermined reference bolt data according to the dual-chip bolt state analysis model to obtain a data comparison result of the target bolt, and determining the state analysis result of the target bolt based on the data comparison result of the target bolt may include:

[0100] When the bolt state analysis model includes a dual-chip bolt state analysis model, the target bolt data is input into the dual-chip bolt state analysis model to obtain second bolt output data, and a data comparison operation is performed on the second bolt output data and the predetermined benchmark bolt data to obtain a data comparison result of the target bolt. When it is determined that the data comparison result is used to indicate that the second bolt output data matches the benchmark bolt data, it is determined that the state analysis result of the target bolt is used to indicate that the target bolt is a normal operating state analysis result; when it is determined that the data comparison result is used to indicate that the second bolt output data does not match the benchmark bolt data, it is determined that the state analysis result of the target bolt is used to indicate that the target bolt is an abnormal operating state analysis result. For example, each sensor contains 6 chip values, namely, early warning chip values ​​EA and EB, loose alarm chip values ​​FA and FB, and broken identification chip values ​​CA and CB, among which EB, FB, and CA are used to indicate the normal state. Furthermore, if the dual-chip bolt state analysis model reads the target bolt data as EA, EA is output and EA is used to indicate that the target bolt is in a loose warning state; if the dual-chip bolt state analysis model reads the target bolt data as CB, CB is output and CB is used to indicate that the target bolt is in a broken alarm state.

[0101] It can be seen that the implementation of this optional embodiment can determine the bolt state analysis type corresponding to the target bolt according to the bolt state detection requirements and then match the corresponding bolt state analysis model. If the bolt state analysis model includes a single-chip bolt state analysis model, the target bolt data is analyzed according to the single-chip bolt state analysis model to obtain the state analysis result of the target bolt. If the bolt state analysis model includes a dual-chip bolt state analysis model, the dual-chip bolt state analysis model is used to perform a data comparison operation on the target bolt data and the reference bolt data to obtain the data comparison result and determine the state analysis result of the target bolt based on the data comparison result. The bolt state analysis model corresponding to the target bolt can be accurately determined according to the specific requirements of the bolt state detection, which is conducive to improving the accuracy and efficiency of the analysis of the target bolt data, and can provide two options of the single-chip bolt state analysis model and the dual-chip bolt state analysis model. There is a diversity of options. This diversity enables the solution to adapt to different bolt states and detection requirements, which is conducive to improving the accuracy and intelligence of the analysis of the target bolt data, and can analyze the target bolt data in different ways to obtain more objective and quantitative analysis results. This data-driven analysis method can effectively reduce human errors and improve the accuracy of analysis. It can provide an efficient, accurate and flexible solution for bolt status detection through targeted analysis type determination, diverse model selection, data-driven analysis methods and clear result output. It is also beneficial to accurately analyze the corresponding status of the bolts installed on the target equipment. Based on the status analysis results of the bolts, a more reasonable and efficient maintenance strategy can be formulated, which is also beneficial to improve the stability and safety of the target equipment operation.

[0102] In yet another optional embodiment, the method further comprises:

[0103] According to the state analysis result of the target bolt, predict the operation trend of the target equipment in a preset first future time period;

[0104] Determine whether the operating trend meets the preset operating conditions;

[0105] When it is determined that the operating trend does not meet the preset operating conditions, an abnormal trend analysis result of the target device is generated based on the state analysis result and the operating trend of the target bolt;

[0106] Based on the abnormal trend analysis results, the abnormal processing logic of the target device is generated, and the abnormal processing operation matching the abnormal processing logic is performed on the target device;

[0107] And, based on the abnormal trend analysis results, generate the abnormal handling logic of the target device, including:

[0108] Obtaining operation demand information of the target device in a preset first future time period, and judging whether the operation demand information matches the abnormal trend analysis result according to the abnormal trend analysis result and the operation demand information;

[0109] When it is determined that the operation requirement information does not match the abnormal trend analysis result, an abnormal processing logic for the target device is generated based on the operation requirement information and the abnormal trend analysis result;

[0110] Among them, based on the operation demand information and abnormal trend analysis results, the abnormal processing logic for the target device is generated, including:

[0111] Based on the abnormal trend analysis results, determine the abnormal maintenance prediction duration of the target equipment, and based on the operation demand information, determine the operation demand duration of the target equipment, and generate a duration matching relationship between the abnormal maintenance prediction duration and the operation demand duration;

[0112] Based on the duration matching relationship, generate exception handling logic for the target device.

[0113] In this optional embodiment, the preset first future time period may be 30 minutes or one hour, and the specific time period is not specifically limited in the embodiment of the present invention. Further optionally, the operation trend of the target device in the preset first future time period includes one or more of the operation rotation angle change trend, operation displacement change trend, and operation loss change trend of the target device in the preset first future time period.

[0114] In this optional embodiment, optionally, the above-mentioned determination of whether the operation trend meets the preset operation condition may include:

[0115] Determine a first operation safety level of the target device within a preset first future time period according to the operation trend, and determine a second operation safety level according to preset operation conditions;

[0116] Determining whether the first operation safety level is greater than or equal to the second operation safety level;

[0117] When it is determined that the first operation safety level is greater than or equal to the second operation safety level, it is determined that the operation trend meets the preset operation conditions; when it is determined that the first operation safety level is less than the second operation safety level, it is determined that the operation trend does not meet the preset operation conditions.

[0118] In this optional embodiment, further optionally, the above method may also include:

[0119] When it is determined that the operating trend meets the preset operating conditions, this process can be ended.

[0120] In this optional embodiment, optionally, the abnormal trend analysis result of the target device includes one or more of the abnormal cause, abnormal duration, abnormal time, and abnormal component of the target device.

[0121] In this optional embodiment, optionally, the operating requirement information of the target device in the preset first future time period may include one or more of the operating duration requirement information, operating power requirement information, operating cycle requirement information, operating energy consumption requirement information, operating wind volume requirement information, and operating wind pressure requirement information of the target device in the preset first future time period.

[0122] In this optional embodiment, optionally, judging whether the operation requirement information matches the abnormal trend analysis result based on the abnormal trend analysis result and the operation requirement information may include:

[0123] Extracting the operation trend keywords from the abnormal trend analysis results, and extracting the operation requirement keywords from the operation requirement information, and calculating the operation matching degree between the operation trend keywords and the operation requirement keywords;

[0124] Determine whether the running match degree is greater than or equal to a preset running match degree threshold;

[0125] When it is determined that the operation matching degree is greater than or equal to the preset operation matching degree threshold, it is determined that the operation demand information matches the abnormal trend analysis result; when it is determined that the operation matching degree is less than the preset operation matching degree threshold, it is determined that the operation demand information does not match the abnormal trend analysis result.

[0126] In this optional embodiment, further optionally, the above method may also include: when it is determined that the operation demand information matches the abnormal trend analysis result, generating abnormal processing logic for the target device based on the abnormal trend analysis result.

[0127] In this optional embodiment, optionally, the duration matching relationship between the abnormal maintenance prediction duration and the operation requirement duration includes the duration difference between the abnormal maintenance prediction duration and the operation requirement duration; further optionally, the above-mentioned generation of abnormal processing logic for the target device based on the duration matching relationship may include: determining a first operation weight of the target device based on the abnormal trend analysis result, and determining a second operation weight of the target device based on the operation requirement information, and determining a target operation weight from the first operation weight and the second operation weight; determining the abnormal processing object of the target device based on the target operation weight and the duration matching relationship, and generating the abnormal processing logic for the target device based on the abnormal processing object and the duration difference. For example, if the abnormal trend analysis result is used to indicate that the abnormal operation weight of the current target device is large and the operation weight corresponding to the operation demand information is small, and the abnormal maintenance prediction time is 30 minutes and the operation demand time is 25 minutes, then the abnormal handling logic generated for the target device includes 30 minutes of abnormal state recovery processing for the target device; if the abnormal trend analysis result is used to indicate that the abnormal operation weight of the current target device is small and the operation weight corresponding to the operation demand information is large, and the abnormal maintenance prediction time is 20 minutes and the operation demand time is 25 minutes, then the abnormal handling logic generated for the target device includes 25 minutes of normal operation of the target device and 20 minutes of abnormal state recovery processing for the target device after the target device has been running for 25 minutes.

[0128] It can be seen that the implementation of this optional embodiment can predict the operating trend of the target device in the preset first future time period according to the state analysis result of the target bolt and determine whether the preset operating conditions are met. If not, the abnormal trend analysis result of the target device is generated based on the state analysis result of the target bolt and the operating trend, and the operating requirement information of the target device in the preset first future time period is obtained, and it is determined whether the operating requirement information matches the abnormal trend analysis result. If they do not match, the abnormal maintenance prediction duration of the target device is determined based on the abnormal trend analysis result, and the operating requirement duration of the target device is determined based on the operating requirement information, and then a duration matching relationship between the abnormal maintenance prediction duration and the operating requirement duration is generated. Based on the duration matching relationship, the abnormal handling logic for the target device is generated, which can predict the operating trend of the target device in advance, thereby timely discovering possible problems and generating corresponding abnormal handling logic, which is conducive to improving the timeliness and accuracy of fault handling for the target device. It can effectively prevent the occurrence and deterioration of target equipment failures, and by matching the target equipment's operating demand information with the abnormal trend analysis results, it can ensure that the target equipment can handle abnormal situations while meeting the operating requirements, which is beneficial to improving the stability of the target equipment's operation, and can generate a duration matching relationship by determining the predicted duration of abnormal maintenance of the target equipment and the operating demand duration of the target equipment, and then generate an abnormal handling logic for the target equipment, which is beneficial to improving the practicality and rationality of the generated abnormal handling logic, and can handle the target equipment's abnormalities without affecting the normal operation of the target equipment and the operating requirements of the target equipment, which is beneficial to improving the accuracy and reliability of the abnormal handling of the target equipment, as well as improving the intelligence and feasibility of the abnormal handling of the target equipment, and then it can also formulate corresponding more reasonable and more efficient maintenance strategies, and is also beneficial to improving the stability and safety of the target equipment's operation.

[0129] In another optional embodiment, judging whether the bolt to be processed meets a preset state recovery condition according to the state analysis result of the bolt to be processed and the scene information includes:

[0130] According to the state analysis results of the bolts to be processed and the scene information, a current influence relationship and a predicted influence relationship between the scene information and the bolts to be processed are generated, wherein the current influence relationship includes a real-time influence relationship between the state analysis results of the bolts to be processed and the current scene, and the predicted influence relationship includes an influence relationship between the state analysis results of the bolts to be processed and the current scene within a preset second future time period;

[0131] Performing a fitting operation on the current influence relationship and the predicted influence relationship to obtain an influence fitting result, wherein the influence fitting result includes the influence degree of the scene information on the bolt to be processed;

[0132] Determine whether the impact fitting result meets the preset operation impact conditions;

[0133] When it is determined that the impact fitting result meets the preset operation impact condition, it is determined that the bolt to be processed meets the preset state recovery condition; when it is determined that the impact fitting result does not meet the preset operation impact condition, it is determined that the bolt to be processed does not meet the preset state recovery condition.

[0134] In this optional embodiment, optionally, the generating of the current influence relationship and the predicted influence relationship between the scene information and the bolt to be processed according to the state analysis result of the bolt to be processed and the scene information may include:

[0135] According to the status analysis results and scene information of the bolts to be processed, target scene information that is associated with the bolts to be processed is extracted from the scene information, and according to the target scene information and the status analysis results of the bolts to be processed, the current influence relationship and the predicted influence relationship between the scene information and the bolts to be processed are generated.

[0136] In this optional embodiment, the duration corresponding to the preset second future time period may be 30 minutes, one hour, or 24 hours, which is not specifically limited in the embodiment of the present invention.

[0137] In this optional embodiment, optionally, performing a fitting operation on the current impact relationship and the predicted impact relationship to obtain an impact fitting result may include: generating an impact association relationship between the scene information and the bolt to be processed and generating the operational impact degree of the scene information on the bolt to be processed according to the current impact relationship and the predicted impact relationship, wherein the impact association relationship includes the current impact relationship and the predicted impact relationship; performing a fitting operation on the impact association relationship and the operational impact degree to obtain an impact fitting result. Further optionally, the impact association relationship may include the current impact relationship between the scene information and the bolt to be processed and the future impact relationship between the scene information and the bolt to be processed corresponding to a preset second future time period; further, the impact fitting result may also include the current impact degree of the scene information on the bolt to be processed and the future impact degree of the scene information on the bolt to be processed in the preset second future time period.

[0138] In this optional embodiment, optionally, the above-mentioned determination of whether the impact fitting result meets the preset operation impact condition may include:

[0139] Determine a first impact degree according to the impact fitting result, determine a second impact degree according to a preset operation impact condition, and judge whether the first impact degree is greater than or equal to the second impact degree;

[0140] When it is determined that the first influence degree is greater than or equal to the second influence degree, it is determined that the influence fitting result meets the preset operation influence condition; when it is determined that the first influence degree is less than the second influence degree, it is determined that the influence fitting result does not meet the preset operation influence condition.

[0141] In this optional embodiment, optionally, when it is determined that the bolt to be processed meets the preset state recovery condition, it is determined that the bolt to be processed needs to perform the corresponding state recovery processing operation; when it is determined that the bolt to be processed does not meet the preset state recovery condition, it is determined that the bolt to be processed does not currently need to perform the corresponding state recovery processing operation.

[0142] In this optional embodiment, optionally, after generating the current influence relationship and the predicted influence relationship between the scenario information and the bolt to be processed according to the state analysis result of the bolt to be processed and the scenario information, the method may further include:

[0143] Determine whether the current impact relationship meets the preset operation impact condition. When it is determined that the current impact relationship does not meet the preset operation impact condition, determine whether the predicted impact relationship meets the preset operation impact condition. When it is determined that the predicted impact relationship meets the preset operation impact condition, determine whether the bolt to be processed meets the preset state recovery condition based on the predicted impact relationship and the state analysis result of the bolt to be processed;

[0144] When it is determined that the current impact relationship meets the preset operation impact condition, it is determined whether the bolt to be processed meets the preset state recovery condition according to the current impact relationship and the state analysis result of the bolt to be processed.

[0145] It can be seen that the implementation of this optional embodiment can generate the current impact concept and predicted impact relationship between the scene information and the bolts to be processed according to the state analysis results of the bolts to be processed and the scene information, perform fitting operations on the current impact relationship and the predicted impact relationship to obtain the impact fitting results and judge whether the preset operation impact conditions are met, and determine whether the brought out bolts meet the preset state recovery conditions based on the judgment results, and can specifically determine the current impact relationship and predicted impact relationship between the scene information and the bolts to be processed, and can more accurately evaluate the current state of the bolts to be processed and the possible future impact, which is conducive to improving the pertinence and effectiveness of the maintenance operations performed on the bolts, and can predict in advance the possible impact on the bolts to be processed in the future time period based on the predicted impact relationship, which is conducive to improving the safety and stability of the target equipment and the bolts to be processed during operation, so that fitting through the current impact relationship and the predicted impact relationship can improve the accuracy and reliability of the obtained impact fitting results, and is conducive to improving the intelligence and efficiency of obtaining the impact fitting results, and is conducive to improving the efficiency and effect of performing corresponding processing operations on the bolts to be processed, and thus is conducive to improving the stability and reliability of the target equipment in the current time period and in the future time period.

[0146] In yet another optional embodiment, based on the state analysis result of the bolt to be processed and the predetermined state recovery logic, the bolt state recovery parameter of the bolt to be processed is generated, including:

[0147] Based on the state analysis result of the bolt to be processed and the impact fitting result, at least one influencing factor corresponding to the bolt to be processed is determined, wherein the influencing factor includes an internal influencing factor and / or an external influencing factor; wherein the internal influencing factor includes a factor in the scene information that has a direct influencing relationship with the target device, and the external influencing factor includes a factor in the scene information that has an indirect influencing relationship with the target device;

[0148] Determine the influence weight corresponding to each influencing factor, and based on all the influencing factors and the influence weight corresponding to each influencing factor, determine the target influencing factor that has a negative impact on the current state of the bolt to be processed from all the influencing factors;

[0149] Based on the target influencing factor, a recovery processing parameter matching the target influencing factor is determined in a predetermined state recovery logic, and a bolt state recovery parameter of the bolt to be processed is generated based on the recovery processing parameter.

[0150] In this optional embodiment, optionally, the external influencing factors may include one or more of wind influencing factors, wind speed influencing factors, wind pressure influencing factors, external force impact influencing factors, temperature influencing parameters, and humidity influencing parameters; the internal influencing factors may include one or more of structural influencing factors, current influencing factors, voltage influencing factors, vibration influencing factors, and component damage influencing factors.

[0151] In this optional embodiment, optionally, the above-mentioned determining the influence weight corresponding to each influencing factor, and determining the target influencing factor that has a negative impact on the current state of the bolt to be processed from all the influencing factors based on all the influencing factors and the influence weight corresponding to each influencing factor, may include:

[0152] According to the state analysis results of each influencing factor and the bolt to be processed, determine the influence degree parameter of each influencing factor on the bolt to be processed, and according to the influence degree parameter of each influencing factor on the bolt to be processed, determine the influence weight corresponding to each influencing factor;

[0153] Based on all influencing factors and the influence weight corresponding to each influencing factor, determine the influence trend of each influencing factor on the current state of the bolt to be processed, and determine the negative influence trend from all influencing trends, and determine the influencing factor corresponding to each negative influence trend as the target operating factor that has a negative influence on the current state of the bolt to be processed, wherein the influence trend includes a positive influence trend or a negative influence trend.

[0154] In this optional embodiment, the predetermined state recovery logic optionally includes several recovery processing parameters; further, the recovery processing parameters corresponding to different target influencing factors may be the same or different, which is not specifically limited in the embodiment of the present invention. Furthermore, the bolt state recovery parameters may include all recovery processing parameters.

[0155] It can be seen that the implementation of this optional embodiment can determine the influencing factors of the bolts to be processed based on the state analysis results of the bolts to be processed and the impact fitting results and determine the impact weights corresponding to each influencing factor, thereby determining the target influencing factors that have a negative impact on the current state of the bolts to be processed, and determining the recovery processing parameters that match the target influencing factors in the state recovery logic based on the target influencing factors and generating bolt state recovery parameters, and can conduct in-depth analysis of the influencing factors and determine the weights, and can accurately identify the target influencing factors that have a negative impact on the bolt state, which is conducive to improving the pertinence and effectiveness of the subsequent generation of recovery processing parameters, and can be based on the determination of the impact weights and the determination of the target influencing factors, which is conducive to improving the accuracy and reliability of the determined target influencing factors, and is conducive to improving the intelligence of determining the target influencing factors, thereby improving the accuracy of selecting the corresponding recovery processing parameters in the state recovery logic according to the target influencing factors, and can realize the generation of personalized recovery processing parameters and is also conducive to improving the recovery effect, and then can also determine the recovery processing parameters through the target influencing factors, which is conducive to effectively improving the state of the bolts, and is conducive to improving the stability and reliability of the operation of the target device, and is conducive to improving the safety and stability of the operation of the target device, and is also conducive to improving the overall performance of the operation of the target device.

[0156] In yet another optional embodiment, after performing a state recovery operation on the bolt to be processed based on the state analysis result of the bolt to be processed and the predetermined state recovery logic, the method further includes:

[0157] Obtain the current code value or value of the bolt to be processed, and determine whether the current code value or value matches the preset target code value or value;

[0158] When it is determined that the current code value or numerical value matches the preset target code value or numerical value, a state update parameter of the bolt to be processed is generated based on the current code value or numerical value, and the state analysis result of the bolt to be processed is updated based on the state update parameter;

[0159] When it is determined that the current code value or numerical value does not match the preset target code value or numerical value, the influencing factors of the mismatch between the current code value or numerical value and the preset target code value or numerical value are analyzed, and the current state analysis result of the bolt to be processed is determined based on the current code value or numerical value. The bolt state processing parameters of the bolt to be processed are generated according to the current state analysis result and the influencing factors, and a state processing operation matching the bolt state processing parameters is performed on the bolt to be processed, and the operation of obtaining the current code value or numerical value of the bolt to be processed and judging whether the current code value or numerical value matches the preset target code value or numerical value is triggered again.

[0160] In this optional embodiment, optionally, the above-mentioned determination of whether the current code value or value matches the preset target code value or value may include: determining whether the current code value or value is the same as the preset target code value or value; when it is determined that the current code value or value is the same as the preset target code value or value, determining that the current code value or value matches the preset target code value or value; when it is determined that the current code value or value is not the same as the preset target code value or value, determining that the current code value or value does not match the preset target code value or value; or, calculating the code value or value difference between the current code value or value and the preset target code value or value, determining whether the code value or value difference is less than or equal to a preset code value or value difference threshold, when it is determined that the code value or value difference is less than or equal to the preset code value or value difference threshold, determining that the current code value or value matches the preset target code value or value; when it is determined that the code value or value difference is greater than the preset code value or value difference threshold, determining that the current code value or value does not match the preset target code value or value.

[0161] In this optional embodiment, optionally, when it is determined that the current code value or numerical value matches the preset target code value or numerical value, it is determined that the state of the bolt to be processed has been restored to a normal operating state, and the generated state update parameter is used to update the state analysis result of the bolt to be processed to a normal operating state.

[0162] In this optional embodiment, optionally, the bolt state processing parameters of the bolts to be processed generated according to the current state analysis results and the influencing factors may include:

[0163] According to the current state analysis results and influencing factors, the state influencing factors of the bolts to be processed are determined. Based on the state influencing factors, at least one state processing parameter matching the state influencing factors is determined in a predetermined state processing parameter set, and the bolt state processing parameters of the bolts to be processed are generated according to all state processing parameters.

[0164] In this optional embodiment, optionally, the current code value may include a current code and a current identifier; the numerical value may include a hexadecimal, octal or binary numerical value identified by numbers and letters.

[0165] It can be seen that the implementation of this optional embodiment can obtain the current code value or numerical value of the bolt to be processed and determine whether the current code value or numerical value matches the preset target code value or numerical value. If they match, the state update parameters of the bolt to be processed are generated to update the state analysis results of the bolt to be processed; if they do not match, the influencing factors are analyzed and the current state analysis results of the bolt to be processed are determined based on the current code value or numerical value. The bolt state processing parameters are generated according to the current state analysis results and the influencing factors, and the matching state processing operations are performed and the execution of the operations of obtaining the current code value or numerical value of the bolt to be processed and determining whether the current code value or numerical value matches the target code value or numerical value is re-triggered. The current state of the bolt can be accurately determined through the current code value or numerical value and the target code value or numerical value, which is beneficial to improving the accuracy and reliability of determining the current state of the bolt. If it is determined that the current code value or numerical value matches When the target code value or numerical value matches, the state update parameter is generated and the state analysis result of the bolt to be processed is updated, so as to ensure the real-time monitoring and accurate recording of the bolt state, which is beneficial to improve the real-time and accuracy of the detection and update of the bolt state. If it is judged that the current code value or numerical value does not match the target code value or numerical value, the bolt state processing parameter can be generated in combination with the state analysis result and influencing factor of the bolt to be processed, and corresponding processing measures can be taken in a targeted manner, so as to ensure the normal operation of the bolt, so as to verify the state of the bolt and continuously monitor and process the state of the bolt, which is beneficial to improve the stability and reliability of the bolt operation and the target equipment operation, and to improve the efficiency and effect of executing the corresponding processing operation on the bolt to be processed, and then to improve the stability and reliability of the target equipment in the current time period and in the future time period.

[0166] Embodiment 3

[0167] See also Figure 3 , Figure 3 : is a schematic diagram of the structure of a bolt state intelligent detection device disclosed in an embodiment of the present invention. A plurality of data collectors and a plurality of bolts are installed in the target device. The data collector at least includes a bolt state monitoring sensor. Figure 3 As shown, the intelligent bolt status detection device may include:

[0168] The first determination module 301 is used to determine the target bolt to be detected according to the predetermined bolt state detection requirement;

[0169] The second determination module 302 is used to determine a target data collector for data collection on the target bolt according to the bolt information corresponding to the target bolt and the bolt state detection requirement, and the target data collector is used to perform the data collection operation on the target bolt;

[0170] The analysis module 303 is used to analyze the state of the target bolt according to the bolt state detection requirements, the target bolt data collected by the target data collector for the target bolt, and the predetermined bolt state analysis model to obtain the state analysis result of the target bolt;

[0171] The state analysis result includes one or more of a loosening angle of a target bolt, a preload corresponding to the loosening angle of the target bolt, and a fracture analysis result of the target bolt.

[0172] It can be seen that implementation Figure 3 The described device can determine the target bolts to be detected according to the predetermined bolt state detection requirements, determine the target data collector according to the bolt information corresponding to the target bolt and the bolt state detection requirements, and analyze the state of the target bolt according to the bolt state detection requirements, the target bolt data and the bolt state analysis model to obtain the state analysis results of the target bolts, and can specifically determine the target bolts to be detected, and can accurately locate the target bolts to be detected, which is conducive to improving the efficiency of detecting the target bolts in the target equipment, and can intelligently select the data collector matching the target bolts in combination with the bolt information of the target bolts and the bolt state detection requirements, which is conducive to improving the accuracy and effectiveness of bolt data collection, and at the same time, it is conducive to improving the professionalism and reliability of analyzing and detecting the bolt state of the target bolt, so as to improve the accuracy and reliability of state detection of the bolts installed on the target equipment, and to improve the intelligence and efficiency of state detection of the bolts installed on the target equipment, and then it can also accurately analyze the state corresponding to the bolts installed on the target equipment, and based on the bolt state analysis results, a corresponding more reasonable and more efficient maintenance strategy can be formulated, which is also conducive to improving the stability and safety of the operation of the target equipment.

[0173] In an optional embodiment, if Figure 4 As shown, the first determination module 301 is further used to determine the bolts to be processed from all the target bolts according to the state analysis result of each target bolt;

[0174] The apparatus further includes: a first acquisition module 304, configured to acquire scene information corresponding to a current scene where the target device is located, the scene information at least including environmental information;

[0175] The first judgment module 305 is used to judge whether the bolt to be processed meets the preset state recovery condition according to the state analysis result of the bolt to be processed and the scene information;

[0176] An execution module 306 is used to perform a state recovery operation on the bolt to be processed based on the state analysis result of the bolt to be processed and a predetermined state recovery logic when the first judgment module 305 judges that the bolt to be processed meets the preset state recovery condition;

[0177] The specific manner in which the execution module 306 performs the state recovery operation on the bolt to be processed based on the state analysis result of the bolt to be processed and the predetermined state recovery logic includes:

[0178] Based on the state analysis result of the bolt to be processed and the predetermined state recovery logic, a bolt state recovery parameter of the bolt to be processed is generated, and a state recovery operation matching the bolt state recovery parameter is performed on the bolt to be processed.

[0179] It can be seen that implementation Figure 4 The described device can determine the bolts to be processed according to the state analysis results of each target bolt, judge whether the bolts to be processed meet the state recovery conditions according to the state analysis results of the bolts to be processed and the scene information of the current scene obtained, and if satisfied, generate state recovery parameters of the bolts to be processed based on the state analysis results and the state recovery logic, and perform a state recovery operation matching the bolt state recovery parameters on the bolts to be processed. The bolts to be processed can be comprehensively determined based on the state analysis results of each target bolt combined with the scene information, and can be analyzed in combination with various information, which is conducive to improving the accuracy and reliability of determining the bolts to be processed, and can generate corresponding state recovery parameters based on the predetermined state recovery logic and the state analysis results of the bolts to be processed, and then perform corresponding state recovery operations on the bolts to be processed, which is conducive to improving the intelligence, efficiency and reliability of the recovery processing of the bolts to be processed, thereby ensuring that each bolt can be processed in a targeted manner, improving the recovery effect of each bolt to be processed, and then accurately analyzing the corresponding state of the bolts installed on the target equipment, and formulating corresponding more reasonable and more efficient maintenance strategies based on the state analysis results of the bolts, which is also conducive to improving the stability and safety of the target equipment operation.

[0180] In another optional embodiment, Figure 4 As shown, the device also includes:

[0181] A second acquisition module 307 is used to acquire historical data corresponding to the target data collector after the second determination module 302 determines the target data collector for data collection of the target bolt according to the bolt information corresponding to the target bolt and the bolt state detection requirement, wherein the historical data includes one or more of the historical data collection results of the target data collector and the historical collection process corresponding to the historical data collection results of the target data collector;

[0182] The second determination module 302 is further used to determine the acquisition logic information of the target data collector according to the historical data of the target data collector; wherein the acquisition logic information is used to control the target data collector to perform corresponding data acquisition operations on the target bolt.

[0183] It can be seen that implementation Figure 4 The described device can obtain historical data including historical data collection results of a target data collector and historical data of a historical collection process corresponding to the historical data collection results of the target data collector, determine the collection logic information of the target data collector according to the historical data of the target data collector, so as to control the target data collector to perform corresponding data collection operations on the target bolt, and can determine corresponding logic information based on the historical data corresponding to the target data collector, which is beneficial to improving the accuracy and reliability of the determined collection logic information, as well as the degree of matching between the determined collection logic information and the target bolt, and can optimize the data collection logic of the target data collector, improve the overall efficiency of data collection for the target bolt, and can identify and correct potential collection errors or collection anomalies in combination with the historical data of the target data collector during actual operation, thereby facilitating improving the execution of data collection on the target bolt. It is beneficial to improve the accuracy and reliability of data collection operations, and is conducive to improving the intelligence of data collection operations on target bolts. When the number of target data collectors is multiple, it can determine the data collection logic corresponding to each target data collector in a targeted manner, and can determine the optimal collection strategy for each target data collector to achieve personalized data collection, which is beneficial to improving the accuracy and reliability of the data collection logic generated for each target data collector, and is also beneficial to optimizing the process of data collection for the target bolts through the target data collector, which is beneficial to improving the quality of the collected data, and is conducive to realizing the personalized collection strategy of the target data collector. It is further beneficial to accurately analyze the corresponding status of the bolts installed on the target equipment. Based on the status analysis results of the bolts, a corresponding more reasonable and more efficient maintenance strategy can be formulated, which is also beneficial to improving the stability and safety of the target equipment operation.

[0184] In yet another optional embodiment, Figure 4 As shown, the analysis module 303 analyzes the state of the target bolt according to the bolt state detection requirements, the target bolt data collected by the target data collector for the target bolt, and the predetermined bolt state analysis model, and the specific method of obtaining the state analysis result of the target bolt includes:

[0185] According to the bolt status detection requirements, determine the bolt status analysis type corresponding to the target bolt;

[0186] According to the bolt state analysis type, a corresponding bolt state analysis model is matched, and the bolt state analysis model includes a single-chip bolt state analysis model or a dual-chip bolt state analysis model;

[0187] When the bolt state analysis model includes a single-chip bolt state analysis model, the target bolt data is analyzed according to the single-chip bolt state analysis model to obtain a state analysis result of the target bolt;

[0188] When the bolt state analysis model includes a dual-chip bolt state analysis model, a data comparison operation is performed on the target bolt data and the predetermined reference bolt data according to the dual-chip bolt state analysis model to obtain the data comparison result of the target bolt, and the state analysis result of the target bolt is determined based on the data comparison result of the target bolt.

[0189] It can be seen that implementation Figure 4 The described device can determine the bolt state analysis type corresponding to the target bolt according to the bolt state detection requirements and then match the corresponding bolt state analysis model. If the bolt state analysis model includes a single-chip bolt state analysis model, the target bolt data is analyzed according to the single-chip bolt state analysis model to obtain the state analysis result of the target bolt. If the bolt state analysis model includes a dual-chip bolt state analysis model, the dual-chip bolt state analysis model is used to perform a data comparison operation on the target bolt data and the reference bolt data to obtain the data comparison result and determine the state analysis result of the target bolt based on the data comparison result. The bolt state analysis model corresponding to the target bolt can be accurately determined according to the specific requirements of the bolt state detection, which is conducive to improving the accuracy and efficiency of the analysis of the target bolt data. In addition, the single-chip bolt state analysis model and the dual-chip bolt state analysis model can be provided to provide a variety of options. This diversity enables the solution to adapt to different bolt states and detection requirements, which is conducive to improving the accuracy and intelligence of the analysis of the target bolt data. In addition, the target bolt data can be analyzed in different ways to obtain more objective and quantitative analysis results. This data-driven analysis method can effectively reduce human errors and improve the accuracy of analysis. It can provide an efficient, accurate and flexible solution for bolt status detection through targeted analysis type determination, diverse model selection, data-driven analysis methods and clear result output. It is also beneficial to accurately analyze the corresponding status of the bolts installed on the target equipment. Based on the status analysis results of the bolts, a more reasonable and efficient maintenance strategy can be formulated, which is also beneficial to improve the stability and safety of the target equipment operation.

[0190] In yet another optional embodiment, Figure 4 As shown, the device also includes:

[0191] A prediction module 308, configured to predict the operation trend of the target device within a preset first future time period according to the state analysis result of the target bolt;

[0192] The second judgment module 309 is used to judge whether the operation trend meets the preset operation conditions;

[0193] A first generating module 310 is used to generate an abnormal trend analysis result of a target device based on the state analysis result and the operating trend of the target bolt when the second judging module 309 judges that the operating trend does not meet the preset operating condition;

[0194] The first generating module 310 is further used to generate an exception handling logic of the target device based on the abnormal trend analysis result, and perform an exception handling operation matching the exception handling logic on the target device;

[0195] Furthermore, the specific manner in which the first generating module 310 generates the abnormality processing logic of the target device based on the abnormality trend analysis result includes:

[0196] Obtaining operation demand information of the target device in a preset first future time period, and judging whether the operation demand information matches the abnormal trend analysis result according to the abnormal trend analysis result and the operation demand information;

[0197] When it is determined that the operation requirement information does not match the abnormal trend analysis result, an abnormal processing logic for the target device is generated based on the operation requirement information and the abnormal trend analysis result;

[0198] The specific manner in which the first generating module 310 generates the abnormality handling logic for the target device based on the operation requirement information and the abnormality trend analysis result includes:

[0199] Based on the abnormal trend analysis results, determine the abnormal maintenance prediction duration of the target equipment, and based on the operation demand information, determine the operation demand duration of the target equipment, and generate a duration matching relationship between the abnormal maintenance prediction duration and the operation demand duration;

[0200] Based on the duration matching relationship, generate exception handling logic for the target device.

[0201] It can be seen that implementation Figure 4The described device can predict the operating trend of the target equipment in a preset first future time period based on the state analysis result of the target bolt and determine whether the preset operating conditions are met. If not, the abnormal trend analysis result of the target equipment is generated based on the state analysis result of the target bolt and the operating trend, and the operating requirement information of the target equipment in the preset first future time period is obtained and it is determined whether the operating requirement information matches the abnormal trend analysis result. If not, the abnormal maintenance prediction duration of the target equipment is determined based on the abnormal trend analysis result and the operating requirement duration of the target equipment is determined based on the operating requirement information, thereby generating a duration matching relationship between the abnormal maintenance prediction duration and the operating requirement duration, and generating abnormal processing logic for the target equipment based on the duration matching relationship. The operating trend of the target equipment can be predicted in advance, thereby timely discovering possible problems and generating corresponding abnormal processing logic, which is conducive to improving the timeliness and accuracy of fault processing for the target equipment. It can effectively prevent the occurrence and deterioration of target equipment failures, and by matching the target equipment's operating demand information with the abnormal trend analysis results, it can ensure that the target equipment can handle abnormal situations while meeting the operating requirements, which is beneficial to improving the stability of the target equipment's operation, and can generate a duration matching relationship by determining the predicted duration of abnormal maintenance of the target equipment and the operating demand duration of the target equipment, and then generate an abnormal handling logic for the target equipment, which is beneficial to improving the practicality and rationality of the generated abnormal handling logic, and can handle the target equipment's abnormalities without affecting the normal operation of the target equipment and the operating requirements of the target equipment, which is beneficial to improving the accuracy and reliability of the abnormal handling of the target equipment, as well as improving the intelligence and feasibility of the abnormal handling of the target equipment, and then can formulate corresponding more reasonable and more efficient maintenance strategies, and is also beneficial to improving the stability and safety of the target equipment's operation.

[0202] In yet another optional embodiment, Figure 4 As shown, the first judgment module 305 judges whether the bolt to be processed meets the preset state recovery condition according to the state analysis result of the bolt to be processed and the scene information. The specific method includes:

[0203] According to the state analysis results of the bolts to be processed and the scene information, a current influence relationship and a predicted influence relationship between the scene information and the bolts to be processed are generated, wherein the current influence relationship includes a real-time influence relationship between the state analysis results of the bolts to be processed and the current scene, and the predicted influence relationship includes an influence relationship between the state analysis results of the bolts to be processed and the current scene within a preset second future time period;

[0204] Performing a fitting operation on the current influence relationship and the predicted influence relationship to obtain an influence fitting result, wherein the influence fitting result includes the influence degree of the scene information on the bolt to be processed;

[0205] Determine whether the impact fitting result meets the preset operation impact conditions;

[0206] When it is determined that the impact fitting result meets the preset operation impact condition, it is determined that the bolt to be processed meets the preset state recovery condition; when it is determined that the impact fitting result does not meet the preset operation impact condition, it is determined that the bolt to be processed does not meet the preset state recovery condition.

[0207] It can be seen that implementation Figure 4 The described device can generate the current impact concept and predicted impact relationship between the scene information and the bolts to be processed according to the state analysis results of the bolts to be processed and the scene information, perform fitting operations on the current impact relationship and the predicted impact relationship to obtain the impact fitting results and judge whether the preset operation impact conditions are met, and determine whether the brought out bolts meet the preset state recovery conditions based on the judgment results, and can specifically determine the current impact relationship and predicted impact relationship between the scene information and the bolts to be processed, and can more accurately evaluate the current state of the bolts to be processed and the possible future impact, which is conducive to improving the pertinence and effectiveness of the maintenance operations performed on the bolts, and can predict in advance the possible impact on the bolts to be processed in the future time period based on the predicted impact relationship, which is conducive to improving the safety and stability of the target equipment and the bolts to be processed during operation, so that fitting through the current impact relationship and the predicted impact relationship can improve the accuracy and reliability of the obtained impact fitting results, and is conducive to improving the intelligence and efficiency of obtaining the impact fitting results, and is conducive to improving the efficiency and effect of performing corresponding processing operations on the bolts to be processed, and thus is conducive to improving the stability and reliability of the target equipment in the current time period and in the future time period.

[0208] In yet another optional embodiment, Figure 4 As shown, the specific manner in which the execution module 306 generates the bolt state recovery parameters of the bolt to be processed based on the state analysis result of the bolt to be processed and the predetermined state recovery logic includes:

[0209] Based on the state analysis result of the bolt to be processed and the impact fitting result, at least one influencing factor corresponding to the bolt to be processed is determined, wherein the influencing factor includes an internal influencing factor and / or an external influencing factor; wherein the internal influencing factor includes a factor in the scene information that has a direct influencing relationship with the target device, and the external influencing factor includes a factor in the scene information that has an indirect influencing relationship with the target device;

[0210] Determine the influence weight corresponding to each influencing factor, and based on all the influencing factors and the influence weight corresponding to each influencing factor, determine the target influencing factor that has a negative impact on the current state of the bolt to be processed from all the influencing factors;

[0211] Based on the target influencing factor, a recovery processing parameter matching the target influencing factor is determined in a predetermined state recovery logic, and a bolt state recovery parameter of the bolt to be processed is generated based on the recovery processing parameter.

[0212] It can be seen that implementation Figure 4 The described device can determine the influencing factors of the bolts to be processed based on the state analysis results of the bolts to be processed and the influence fitting results and determine the influence weights corresponding to each influencing factor, thereby determining the target influencing factors that have a negative impact on the current state of the bolts to be processed, determining the recovery processing parameters matching the target influencing factors in the state recovery logic based on the target influencing factors and generating the bolt state recovery parameters, and can conduct in-depth analysis of the influencing factors and determine the weights, and can accurately identify the target influencing factors that have a negative impact on the bolt state, which is conducive to improving the pertinence and effectiveness of the subsequent generation of recovery processing parameters, and can be based on the determination of the influence weights and the determination of the target influencing factors, which is conducive to improving the accuracy and reliability of the determined target influencing factors, and is conducive to improving the intelligence of determining the target influencing factors, thereby improving the accuracy of selecting the corresponding recovery processing parameters in the state recovery logic according to the target influencing factors, and can realize the generation of personalized recovery processing parameters and is also conducive to improving the recovery effect, and then can also determine the recovery processing parameters through the target influencing factors, which is conducive to effectively improving the state of the bolts, and is conducive to improving the stability and reliability of the operation of the target equipment, and is conducive to improving the safety and stability of the operation of the target equipment, and is also conducive to improving the overall performance of the operation of the target equipment.

[0213] In yet another optional embodiment, Figure 4 As shown, the first acquisition module 304 is further used to acquire the current code value or value of the bolt to be processed after the execution module 306 performs a state recovery operation on the bolt to be processed based on the state analysis result of the bolt to be processed and the predetermined state recovery logic;

[0214] The first judgment module 305 is further used to judge whether the current code value or value matches the preset target code value or value;

[0215] The device also includes:

[0216] The second generating module 311 is used to generate a state update parameter of the bolt to be processed based on the current code value or value when the first judging module 305 judges that the current code value or value matches the preset target code value or value, and to update the state analysis result of the bolt to be processed based on the state update parameter;

[0217] The analysis module 303 is further configured to analyze the influence factor of the mismatch between the current code value or value and the preset target code value or value when the first judgment module 305 judges that the current code value or value does not match the preset target code value or value;

[0218] The first determination module 301 is further used to determine the current state analysis result of the bolt to be processed based on the current code value or value;

[0219] The second generation module 311 is also used to generate bolt state processing parameters of the bolt to be processed according to the current state analysis results and influencing factors, perform state processing operations matching the bolt state processing parameters on the bolt to be processed, and re-trigger the first acquisition module 304 to perform the operation of acquiring the current code value or numerical value of the bolt to be processed and trigger the first judgment module 305 to perform the operation of judging whether the current code value or numerical value matches the preset target code value or numerical value.

[0220] It can be seen that implementation Figure 4 The described device can obtain the current code value or numerical value of the bolt to be processed and determine whether the current code value or numerical value matches the preset target code value or numerical value. If they match, the state update parameters of the bolt to be processed are generated to update the state analysis results of the bolt to be processed; if they do not match, the influencing factors are analyzed and the current state analysis results of the bolt to be processed are determined based on the current code value or numerical value. The bolt state processing parameters are generated according to the current state analysis results and the influencing factors, and the matching state processing operations are performed and the execution of the operations of obtaining the current code value or numerical value of the bolt to be processed and determining whether the current code value or numerical value matches the target code value or numerical value is re-triggered. The current state of the bolt can be accurately determined through the current code value or numerical value and the target code value or numerical value, which is beneficial to improving the accuracy and reliability of determining the current state of the bolt. If it is determined that the current code value or numerical value matches the target code value or numerical value, the bolt state update parameters are generated based on the current code value or numerical value. If the current code value or numerical value matches the target code value or numerical value, the state update parameter is generated and the state analysis result of the bolt to be processed is updated, so as to ensure the real-time monitoring and accurate recording of the bolt state, which is beneficial to improve the real-time and accuracy of the detection and update of the bolt state. If it is judged that the current code value or numerical value does not match the target code value or numerical value, the bolt state processing parameter can be generated in combination with the state analysis result and the influencing factor of the bolt to be processed, and the corresponding processing measures can be taken in a targeted manner, which can ensure the normal operation of the bolt, so as to verify the state of the bolt and continuously monitor and process the state of the bolt, which is beneficial to improve the stability and reliability of the bolt operation and the target equipment operation, and to improve the efficiency and effect of executing the corresponding processing operation on the bolt to be processed, and then to improve the stability and reliability of the target equipment in the current time period and in the future time period.

[0221] Embodiment 4

[0222] See also Figure 5 , Figure 5 FIG. 1 is a schematic diagram of the structure of another intelligent bolt status detection device disclosed in an embodiment of the present invention. Figure 5 As shown, the intelligent bolt status detection device may include:

[0223] A memory 401 storing executable program codes;

[0224] a processor 402 coupled to the memory 401;

[0225] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the intelligent detection method of the bolt status described in the first embodiment of the present invention or the second embodiment of the present invention.

[0226] Embodiment 5

[0227] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps of the intelligent bolt status detection method described in Embodiment 1 or Embodiment 2 of the present invention.

[0228] Embodiment 6

[0229] An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute the steps in the intelligent bolt status detection method described in Embodiment 1 or Embodiment 2.

[0230] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0231] Through the specific 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 a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0232] Finally, it should be noted that the method and device for intelligent detection of bolt status disclosed in the embodiments of the present invention disclose only the preferred embodiments of the present invention, which are only used to illustrate the technical solution of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligent detection of bolt status, It is characterized in that The method is applied to a target device, wherein a plurality of data collectors and a plurality of bolts are installed in the target device, wherein the data collectors at least include a bolt state monitoring sensor, wherein the method includes: Determine the target bolts to be inspected according to the predetermined bolt status inspection requirements; According to the bolt information corresponding to the target bolt and the bolt state detection requirement, determining a target data collector for data collection on the target bolt, wherein the target data collector is used to perform a data collection operation on the target bolt; Analyze the state of the target bolt according to the bolt state detection requirement, the target bolt data collected by the target data collector for the target bolt, and a predetermined bolt state analysis model to obtain a state analysis result of the target bolt; The state analysis result includes one or more of the loosening angle of the target bolt, the preload force corresponding to the loosening angle of the target bolt, and the fracture analysis result of the target bolt; The step of analyzing the state of the target bolt according to the bolt state detection requirement, the target bolt data collected by the target data collector for the target bolt, and a predetermined bolt state analysis model to obtain a state analysis result of the target bolt includes: Determine the bolt state analysis type corresponding to the target bolt according to the bolt state detection requirement; According to the bolt state analysis type, matching a corresponding bolt state analysis model, the bolt state analysis model includes a single-chip bolt state analysis model or a dual-chip bolt state analysis model; When the bolt state analysis model includes the single-chip bolt state analysis model, analyzing the target bolt data according to the single-chip bolt state analysis model to obtain a state analysis result of the target bolt; When the bolt state analysis model includes the dual-chip bolt state analysis model, a data comparison operation is performed on the target bolt data and the predetermined reference bolt data according to the dual-chip bolt state analysis model to obtain a data comparison result of the target bolt, and a state analysis result of the target bolt is determined based on the data comparison result of the target bolt; The method further comprises: Predicting the operation trend of the target device within a preset first future time period according to the state analysis result of the target bolt; Determining whether the operating trend meets the preset operating conditions; When it is determined that the operating trend does not meet the preset operating condition, generating an abnormal trend analysis result of the target device based on the state analysis result of the target bolt and the operating trend; Based on the abnormal trend analysis result, generating an abnormality handling logic of the target device, and performing an abnormality handling operation matching the abnormality handling logic on the target device; And, generating the abnormality handling logic of the target device based on the abnormality trend analysis result includes: Acquiring operation requirement information of the target device in the first preset future time period, and judging whether the operation requirement information matches the abnormal trend analysis result according to the abnormal trend analysis result and the operation requirement information; When it is determined that the operation requirement information does not match the abnormal trend analysis result, generating an abnormality processing logic for the target device based on the operation requirement information and the abnormal trend analysis result; The generating of the abnormality handling logic for the target device based on the operation requirement information and the abnormality trend analysis result includes: Based on the abnormal trend analysis result, determine the abnormal maintenance prediction duration of the target equipment, and based on the operation requirement information, determine the operation requirement duration of the target equipment, and generate a duration matching relationship between the abnormal maintenance prediction duration and the operation requirement duration; Based on the duration matching relationship, an exception handling logic for the target device is generated.

2. The intelligent bolt status detection method according to claim 1, It is characterized in that The method further comprises: According to the state analysis result of each target bolt, determining the bolt to be processed from all the target bolts; Acquire scene information corresponding to the current scene where the target device is located, the scene information at least including environmental information; According to the state analysis result of the bolt to be processed and the scene information, judging whether the bolt to be processed meets the preset state recovery condition; When it is determined that the bolt to be processed meets the preset state recovery condition, a state recovery operation is performed on the bolt to be processed based on the state analysis result of the bolt to be processed and the predetermined state recovery logic; The performing of the state recovery operation on the bolt to be processed based on the state analysis result of the bolt to be processed and the predetermined state recovery logic includes: Based on the state analysis result of the bolt to be processed and the predetermined state recovery logic, a bolt state recovery parameter of the bolt to be processed is generated, and a state recovery operation matching the bolt state recovery parameter is performed on the bolt to be processed.

3. The intelligent detection method for bolt status according to claim 1, It is characterized in that After determining a target data collector for collecting data on the target bolt according to the bolt information corresponding to the target bolt and the bolt state detection requirement, the method further includes: Acquire historical data corresponding to the target data collector, wherein the historical data includes one or more of historical data collection results of the target data collector and historical collection processes corresponding to the historical data collection results of the target data collector; According to the historical data of the target data collector, the acquisition logic information of the target data collector is determined; wherein the acquisition logic information is used to control the target data collector to perform corresponding data acquisition operations on the target bolt.

4. The intelligent detection method for bolt status according to claim 2, It is characterized in that The step of judging whether the bolt to be processed meets a preset state recovery condition according to the state analysis result of the bolt to be processed and the scene information includes: According to the state analysis result of the bolt to be processed and the scene information, a current influence relationship and a predicted influence relationship between the scene information and the bolt to be processed are generated, wherein the current influence relationship includes a real-time influence relationship between the state analysis result of the bolt to be processed and the current scene, and the predicted influence relationship includes an influence relationship between the state analysis result of the bolt to be processed and the current scene within a preset second future time period; Performing a fitting operation on the current influence relationship and the predicted influence relationship to obtain an influence fitting result, wherein the influence fitting result includes the influence degree of the scene information on the bolt to be processed; Determining whether the impact fitting result meets a preset operation impact condition; When it is determined that the impact fitting result satisfies the preset operation impact condition, it is determined that the bolt to be processed satisfies the preset state recovery condition; when it is determined that the impact fitting result does not satisfy the preset operation impact condition, it is determined that the bolt to be processed does not satisfy the preset state recovery condition.

5. The intelligent bolt status detection method according to claim 4, It is characterized in that The generating of the bolt state recovery parameters of the bolt to be processed based on the state analysis result of the bolt to be processed and the predetermined state recovery logic includes: Based on the state analysis result of the bolt to be processed and the influence fitting result, at least one influencing factor corresponding to the bolt to be processed is determined, wherein the influencing factor includes an internal influencing factor and / or an external influencing factor; wherein the internal influencing factor includes a factor in the scene information that has a direct influencing relationship with the target device, and the external influencing factor includes a factor in the scene information that has an indirect influencing relationship with the target device; Determine the influence weight corresponding to each of the influencing factors, and based on all of the influencing factors and the influence weight corresponding to each of the influencing factors, determine the target influencing factor that has a negative impact on the current state of the bolt to be processed from all of the influencing factors; Based on the target influencing factor, a recovery processing parameter matching the target influencing factor is determined in a predetermined state recovery logic, and a bolt state recovery parameter of the bolt to be processed is generated based on the recovery processing parameter.

6. The intelligent bolt status detection method according to claim 2, It is characterized in that After performing a state recovery operation on the bolt to be processed based on the state analysis result of the bolt to be processed and the predetermined state recovery logic, the method further includes: Obtaining the current code value or numerical value of the bolt to be processed, and determining whether the current code value or numerical value matches a preset target code value or numerical value; When it is determined that the current code value or numerical value matches the preset target code value or numerical value, a state update parameter of the bolt to be processed is generated based on the current code value or numerical value, and the state analysis result of the bolt to be processed is updated based on the state update parameter; When it is determined that the current code value or numerical value does not match the preset target code value or numerical value, the influencing factors of the mismatch between the current code value or numerical value and the preset target code value or numerical value are analyzed, and the current state analysis result of the bolt to be processed is determined based on the current code value or numerical value, and the bolt state processing parameters of the bolt to be processed are generated according to the current state analysis result and the influencing factors, and a state processing operation matching the bolt state processing parameters is performed on the bolt to be processed, and the operation of obtaining the current code value or numerical value of the bolt to be processed and judging whether the current code value or numerical value matches the preset target code value or numerical value is re-triggered.

7. An intelligent detection device for bolt status, It is characterized in that The device is applied to the intelligent detection method of bolt status according to claim 1 and to a target device, wherein a plurality of data collectors and a plurality of bolts are installed in the target device, wherein the data collector at least includes a bolt status monitoring sensor, wherein the device includes: A first determination module is used to determine a target bolt to be detected according to a predetermined bolt state detection requirement; A second determination module is used to determine a target data collector for data collection on the target bolt according to the bolt information corresponding to the target bolt and the bolt state detection requirement, wherein the target data collector is used to perform a data collection operation on the target bolt; An analysis module, configured to analyze the state of the target bolt according to the bolt state detection requirement, the target bolt data collected by the target data collector for the target bolt, and a predetermined bolt state analysis model, and obtain a state analysis result of the target bolt; The state analysis result includes one or more of a loosening angle of the target bolt, a preload force corresponding to the loosening angle of the target bolt, and a fracture analysis result of the target bolt.

8. An intelligent detection device for bolt status, It is characterized in that The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent bolt status detection method according to any one of claims 1 to 6.

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