A method and device for monitoring bolt status

Abstract

The present invention discloses a method and device for monitoring the state of a bolt, the method comprising: collecting real-time data of the bolt through a target sensor, and performing data processing operations on the real-time data to obtain target data; determining the state monitoring parameters corresponding to the bolt based on the target data; and determining the state monitoring results corresponding to the bolt according to the state monitoring parameters and a predetermined bolt state monitoring model. It can be seen that the implementation of the present invention can monitor the state of the bolt in real time, which is conducive to improving the intelligence and efficiency of bolt monitoring, as well as improving the accuracy and reliability of bolt monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of bolt state monitoring, and in particular to a method and device for monitoring the state of a bolt. Background Art

[0002] At present, most large equipment needs to be assembled with bolts. However, when the equipment is running, the vibration of the equipment or the influence of the outside world may cause the bolts on the equipment to loosen or even break. Once the bolts are abnormal, it can easily cause the equipment to malfunction or even collapse.

[0003] At present, most of the bolt status monitoring methods on equipment are carried out manually and periodically. However, due to the large number of bolts installed on the equipment, the manual monitoring of the bolt status not only wastes manpower and material resources, but also has the problem of low efficiency and detection errors. Therefore, it is particularly important to provide a new method for bolt status monitoring to improve the intelligence and efficiency of bolt monitoring and improve the monitoring accuracy. Summary of the invention

[0004] The present invention provides a method and device for monitoring the state of a bolt, which can monitor the state of the bolt in real time, thereby improving the intelligence and efficiency of bolt monitoring, and improving the accuracy and reliability of bolt monitoring.

[0005] In order to solve the above technical problems, the present invention discloses a method for monitoring the state of a bolt in a first aspect, the method comprising:

[0006] The real-time data of the bolt is collected by a target sensor, and a predetermined data processor performs a data processing operation on the real-time data to obtain target data; wherein the target sensor includes an angle monitoring sensor and / or a magnetic field monitoring sensor;

[0007] Based on the target data, determining a state monitoring parameter corresponding to the bolt;

[0008] The state monitoring result corresponding to the bolt is determined according to the state monitoring parameter and a predetermined bolt state monitoring model.

[0009] A second aspect of the present invention discloses a bolt state monitoring device, the device comprising:

[0010] A processing module, used for collecting real-time data of the bolt through a target sensor, and performing a data processing operation on the real-time data through a predetermined data processor to obtain target data; wherein the target sensor includes an angle monitoring sensor and / or a magnetic field monitoring sensor;

[0011] A first determination module, used to determine a state monitoring parameter corresponding to the bolt based on the target data;

[0012] The second determination module is used to determine the state monitoring result corresponding to the bolt according to the state monitoring parameter and a predetermined bolt state monitoring model.

[0013] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0014] an acquisition module, configured to acquire bolt data of the bolt within a preset target time period before the second determination module determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and a predetermined bolt state monitoring model;

[0015] A first judgment module is used to judge whether there is bolt jump data in all the bolt data, and obtain a jump judgment result, wherein the bolt jump data includes data corresponding to the bolt data of the bolt within the preset target time period, and the data change amount corresponding to the bolt data is greater than or equal to the data corresponding to the preset data change threshold;

[0016] The specific manner in which the second determination module determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and the predetermined bolt state monitoring model includes:

[0017] According to the state monitoring parameter and the jump judgment result, combined with a predetermined bolt state monitoring model, the state monitoring result corresponding to the bolt is determined.

[0018] As an optional implementation, in the second aspect of the present invention, when the target sensor includes the angle monitoring sensor, the processing module collects real-time data of the bolt through the target sensor, and performs data processing operations on the real-time data through a predetermined data processor, and the specific method of obtaining the target data includes:

[0019] Collecting real-time data of the bolt through the angle monitoring sensor, wherein the real-time data includes real-time angle data of the bolt;

[0020] Calculating parameters according to a predetermined rotation ratio and performing a data processing operation on the real-time data through a predetermined data processor to obtain second data, wherein the target data at least includes the second data;

[0021] Furthermore, when the target sensor includes the magnetic field monitoring sensor, the processing module collects real-time data of the bolt through the target sensor, and performs data processing operations on the real-time data through a predetermined data processor, and the specific method of obtaining the target data includes:

[0022] Collecting real-time magnetic field data of the bolt through the magnetic field monitoring sensor, wherein the real-time magnetic field data includes magnetic field data of the target axis corresponding to the bolt;

[0023] A data calculation and processing operation is performed on the real-time magnetic field data according to a predetermined magnetic field ratio calculation parameter and through a predetermined data processor to obtain first data, wherein the target data at least includes the first data.

[0024] As an optional implementation, in the second aspect of the present invention, the processing module performs data calculation and processing operations on the real-time magnetic field data according to the predetermined magnetic field ratio calculation parameters and through a predetermined data processor, and the specific method of obtaining the target data includes:

[0025] Based on the real-time data, determining first target axis data corresponding to the bolt and second target axis data corresponding to the bolt;

[0026] According to a predetermined magnetic field ratio calculation parameter, performing a data calculation processing operation on the first target axis data and the second target axis data to obtain the target axis data of the bolt;

[0027] By means of a predetermined data processor, a data comparison operation is performed based on the target axis data and the predetermined target reference data to obtain a data comparison result, and target data is determined based on the data comparison result;

[0028] The target axis data includes the target axis magnetic field change data corresponding to the first target axis data and the second target axis data.

[0029] As an optional implementation, in the second aspect of the present invention, the processing module calculates the parameters according to the predetermined rotation ratio and performs data processing operations on the real-time data through a predetermined data processor, and the specific manner of obtaining the target data includes:

[0030] Determine, by a predetermined data processor, a target calculation ratio corresponding to the real-time data according to a predetermined rotation ratio calculation parameter and the real-time data, and perform a data processing operation on the real-time data based on the real-time data and the target calculation ratio to obtain target ratio data;

[0031] Determine a data ratio relationship between the target ratio data and the real-time data, and judge whether the data ratio relationship satisfies a preset data processing condition;

[0032] When it is determined that the data ratio relationship satisfies the preset data processing condition, generating target data based on the target ratio data;

[0033] When it is determined that the data ratio relationship does not satisfy the preset data processing conditions, a ratio adjustment parameter corresponding to the target ratio data is generated based on the data ratio relationship and the preset data processing conditions, an adjustment operation is performed on the target ratio data based on the ratio adjustment parameter, and the adjusted target ratio data is used to generate target data.

[0034] As an optional implementation, in the second aspect of the present invention, the second determination module determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and the jump judgment result, in combination with a predetermined bolt state monitoring model, in a specific manner including:

[0035] Based on the jump judgment result and a predetermined bolt state monitoring model, a first model output result is generated, and it is judged whether the first model output result is used to indicate that the bolt has the bolt jump data;

[0036] When it is determined that the output result of the first model is used to indicate that the bolt has the bolt jump data, determining that the state monitoring result corresponding to the bolt includes a bolt fracture monitoring result;

[0037] When it is determined that the first model output result is used to indicate that the bolt jump data does not exist for the bolt, a second model output result is generated based on the state monitoring parameters and the predetermined bolt state monitoring model, and the rotation state parameters of the bolt are determined based on the second model output result, and the state monitoring result corresponding to the bolt is determined based on the rotation state parameters.

[0038] As an optional implementation, in the second aspect of the present invention, the device further includes:

[0039] A second judgment module is used to judge whether the state monitoring result of the bolt meets the preset bolt operation condition according to the state monitoring result corresponding to the bolt after the second determination module determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and the predetermined bolt state monitoring model;

[0040] an analysis module, configured to analyze a target factor for the state monitoring result of the bolt not meeting the preset bolt operation condition when the second judgment module determines that the state monitoring result of the bolt does not meet the preset bolt operation condition, wherein the target factor includes an internal influencing factor and / or an external influencing factor;

[0041] A generating module, configured to determine a bolt to be processed from all the bolts based on all the target factors, obtain real-time bolt information of the bolt to be processed, and generate processing parameters of the bolt based on the real-time bolt information and all the target factors;

[0042] The processing module is also used to perform a bolt processing operation on the bolt that matches the processing parameters to update the status monitoring result corresponding to the bolt, and re-trigger the second judgment module to perform the operation of judging whether the status monitoring result of the bolt meets the preset bolt operating conditions based on the status monitoring result corresponding to the bolt.

[0043] As an optional implementation, in the second aspect of the present invention, the second judgment module determines whether the state monitoring result of the bolt meets the preset bolt operation condition according to the state monitoring result corresponding to the bolt. The specific manner includes:

[0044] Determine, according to the state monitoring result corresponding to the bolt, the abnormal quantity information of the bolt and the abnormal degree information of the bolt, and generate the target abnormal value of the bolt based on the abnormal quantity information of the bolt and the abnormal degree information;

[0045] Determine whether the target abnormal value is greater than or equal to a preset target abnormal threshold;

[0046] When it is determined that the target abnormal value is greater than or equal to the preset target abnormal threshold, it is determined that the state monitoring result of the bolt does not meet the preset bolt operation condition; when it is determined that the target abnormal value is less than the preset target abnormal threshold, it is determined that the state monitoring result of the bolt meets the preset bolt operation condition;

[0047] And, the specific manner in which the generation module determines the bolts to be processed from all the bolts based on all the target factors includes:

[0048] Determine the factor weight value corresponding to each of the target factors, and screen out key factors whose factor weight values ​​are greater than or equal to a preset weight threshold based on the factor weight values ​​corresponding to all the target factors;

[0049] For each of the key factors, determine the matching relationship between the key factor and each of the bolts, and determine the matching degree between the key factor and each of the bolts based on the matching relationship between the key factor and each of the bolts, determine the highest matching degree from the matching degrees between the key factor and each of the bolts, and determine the bolt corresponding to the highest matching degree as the target processing bolt corresponding to the key factor;

[0050] Based on the target processing bolts corresponding to all the key factors, the bolts to be processed are determined.

[0051] The third aspect of the present invention discloses another bolt state monitoring device, the device comprising:

[0052] A memory storing executable program code;

[0053] a processor coupled to the memory;

[0054] The processor calls the executable program code stored in the memory to execute the bolt status monitoring method disclosed in the first aspect of the present invention.

[0055] A 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 bolt status monitoring method disclosed in the first aspect of the present invention.

[0056] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0057] In the embodiment of the present invention, the real-time data of the bolt is collected by the target sensor, and the real-time data is processed by the predetermined data processor to obtain the target data, wherein the target sensor includes an angle monitoring sensor and / or a magnetic field monitoring sensor; based on the target data, the state monitoring parameters corresponding to the bolt are determined; according to the state monitoring parameters and the predetermined bolt state monitoring model, the state monitoring result corresponding to the bolt is determined. It can be seen that the implementation of the present invention can monitor the bolt state in real time, which is conducive to improving the intelligence and efficiency of bolt monitoring, and is conducive to improving the accuracy and reliability of bolt monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] 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.

[0059] Figure 1 It is a flow chart of a method for monitoring the state of a bolt disclosed in an embodiment of the present invention;

[0060] Figure 2 It is a flow chart of another method for monitoring the state of a bolt disclosed in an embodiment of the present invention;

[0061] Figure 3 It is a structural schematic diagram of a bolt status monitoring device disclosed in an embodiment of the present invention;

[0062] Figure 4It is a structural schematic diagram of another bolt status monitoring device disclosed in an embodiment of the present invention;

[0063] Figure 5 It is a structural schematic diagram of another bolt status monitoring device disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] 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.

[0065] 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.

[0066] 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.

[0067] The present invention discloses a bolt state monitoring method and device, which can monitor the bolt state in real time, which is beneficial to improving the intelligence and efficiency of bolt monitoring, and is beneficial to improving the accuracy and reliability of bolt monitoring. The following are detailed descriptions.

[0068] Embodiment 1

[0069] See also Figure 1 , Figure 1 : is a flow chart of a bolt status monitoring method disclosed in an embodiment of the present invention. Figure 1 The bolt status monitoring method described above can be applied to a bolt status monitoring device or to a wind turbine itself, wherein the bolt status monitoring device can be integrated in a cloud server or a local server, which is not limited in the embodiments of the present invention. Figure 1 As shown, the bolt condition monitoring method may include the following operations:

[0070] 101. Real-time data of the bolt is collected through a target sensor, and a predetermined data processor performs a data processing operation on the real-time data to obtain target data.

[0071] In the embodiment of the present invention, the target sensor includes an angle monitoring sensor and / or a magnetic field monitoring sensor.

[0072] In the embodiment of the present invention, the target sensor may optionally include one or more of an angle monitoring sensor and a Hall sensor. The Hall sensor is a magnetic field sensor based on the Hall effect. When the conductor current in the magnetic field changes, a potential difference is generated. This potential difference is called the Hall voltage. The Hall sensor uses this Hall voltage to measure the magnetic field strength and current strength, thereby realizing the measurement and control of current, voltage, power, etc.

[0073] In the embodiment of the present invention, optionally, the number of target sensors may be one or more, which is not specifically limited in the embodiment of the present invention; further optionally, one target sensor may correspond to one bolt, that is, one target sensor collects real-time data of one bolt, and each target sensor has a corresponding bolt.

[0074] In the embodiment of the present invention, optionally, the real-time data of the bolt may include one or more of the real-time position data, real-time angle data, and real-time displacement data of the bolt, which is not specifically limited in the embodiment of the present invention.

[0075] In the embodiment of the present invention, optionally, the data processing operation may include one or more of a data amplification operation and a data calculation operation.

[0076] 102. Based on the target data, determine the state monitoring parameters corresponding to the bolt.

[0077] In the embodiment of the present invention, optionally, the target data may include one or more of target magnetic field change data, target angle change data, and target data displacement data.

[0078] In the embodiment of the present invention, optionally, determining the state monitoring parameters corresponding to the bolt based on the target data may include:

[0079] Based on the target data, determining a rotation change parameter corresponding to the bolt, wherein the rotation change parameter includes one or more of a rotation angle parameter and a displacement change parameter;

[0080] Based on the rotation change parameters corresponding to the bolt, the state monitoring parameters corresponding to the bolt are determined.

[0081] In the embodiment of the present invention, optionally, the state monitoring parameters may include one or more of the angle code value parameters and the magnetic field strength code value parameters of the bolt.

[0082] 103. Determine the state monitoring result corresponding to the bolt according to the state monitoring parameters and a predetermined bolt state monitoring model.

[0083] In the embodiment of the present invention, optionally, the state monitoring result corresponding to the bolt includes one of a loosening warning state monitoring result, a loosening alarm state monitoring result, and a bolt fracture state monitoring result. Further, the loosening degree of the bolt corresponding to the loosening warning state monitoring result is less than the loosening alarm state monitoring result.

[0084] It can be seen that the implementation Figure 1 The described bolt state monitoring method can collect real-time data of the bolt through a target sensor and perform data processing operations on the real-time data through a data processor to obtain target data, determine the state monitoring parameters corresponding to the bolt based on the target data, and determine the state monitoring results corresponding to the bolt according to the state monitoring parameters and the bolt state monitoring model. Real-time collection of bolt data through the target sensor can ensure the timeliness and real-time nature of the data, and is conducive to improving the accuracy and reliability of the collected real-time data of the bolt, thereby providing timely information data support for subsequent bolt state monitoring, and based on the real-time data and state monitoring parameters, it can predict potential problems or faults of the bolt, which is conducive to improving the accuracy and reliability of subsequent determination of the bolt state monitoring results, thereby also being able to timely discover and handle abnormal situations through real-time monitoring of the bolt state, which is conducive to improving the intelligence and efficiency of real-time monitoring of the bolt state, and can also avoid errors or accidents in wind turbines due to bolt problems, thereby helping to improve the safety of wind turbine operation.

[0085] Embodiment 2

[0086] See also Figure 2 , Figure 2 : is a flow chart of a bolt status monitoring method disclosed in an embodiment of the present invention. Figure 2 The bolt status monitoring method described above can be applied to a bolt status monitoring device or to a wind turbine itself, wherein the bolt status monitoring device can be integrated in a cloud server or a local server, which is not limited in the embodiments of the present invention. Figure 2 As shown, the bolt condition monitoring method may include the following operations:

[0087] 201. Real-time data of the bolt is collected through the target sensor, and data processing operations are performed on the real-time data to obtain target data.

[0088] 202. Based on the target data, determine the state monitoring parameters corresponding to the bolt.

[0089] In the embodiment of the present invention, for the detailed description of step 201 - step 202, please refer to the other descriptions of step 101 - step 102 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0090] 203. Obtain bolt data of the bolts within a preset target time period, and determine whether there is bolt jump data in all the bolt data to obtain a jump determination result.

[0091] In the embodiment of the present invention, the bolt jump data includes data corresponding to a data change amount of the bolt data within a preset target time period that is greater than or equal to a preset data change threshold.

[0092] In the embodiment of the present invention, optionally, the preset target time period may be 5 minutes, 15 minutes, or half an hour, and the specific target time period is not specifically limited in the embodiment of the present invention.

[0093] In an embodiment of the present invention, optionally, obtaining the bolt data of the bolt within a preset target time period may be obtained in real time; further optionally, obtaining the bolt data of the bolt within the preset target time period may be obtained through one or more of a Hall sensor and an angle detection sensor, which is not specifically limited in the embodiment of the present invention.

[0094] In the embodiment of the present invention, optionally, judging whether there is bolt jump data in all bolt data to obtain the jump judgment result includes:

[0095] Based on all the bolt data, determining the bolt data change amount within a preset target time period, wherein the bolt data change amount includes one or more of the bolt angle change amount and the bolt displacement change amount;

[0096] Determine whether the bolt data change is greater than or equal to a preset data change threshold;

[0097] When it is determined that the bolt data change amount is greater than or equal to a preset data change threshold, it is determined that bolt jump data exists in the bolt data, and the generated jump judgment result is used to indicate that bolt jump data exists in the bolt data;

[0098] When it is determined that the bolt data change amount is less than a preset data change threshold, it is determined that no bolt jump data exists in the bolt data, and the generated jump judgment result is used to indicate that no bolt jump data exists in the bolt data.

[0099] In an embodiment of the present invention, optionally, for example, when it is detected that the displacement change corresponding to the bolt within a preset target time period is greater than or equal to a preset displacement change threshold, it is determined that the bolt has bolt jump data and is in a broken state; or, when it is detected that the rotation angle corresponding to the bolt within a preset target time period is greater than or equal to a preset angle change threshold, it is determined that the bolt has bolt jump data and is in a broken state.

[0100] 204. According to the state monitoring parameters and the jump judgment result, combined with a predetermined bolt state monitoring model, determine the state monitoring result corresponding to the bolt.

[0101] In the embodiment of the present invention, optionally, the predetermined bolt state monitoring model is used to comprehensively determine the state monitoring result corresponding to the bolt based on the state monitoring parameters and the jump judgment result.

[0102] It can be seen that the implementation Figure 2 The bolt state monitoring method described can obtain the bolt data of the bolt within a preset target time period and judge whether there is bolt jump data in all the bolt data to obtain a jump judgment result, and determine the state monitoring result corresponding to the bolt based on the state monitoring parameters and the jump judgment result in combination with a predetermined bolt state monitoring model, and can judge whether there is jump data based on the bolt data within the target time period, thereby improving the accuracy and reliability of judging whether there is bolt jump data, and can more accurately identify the abnormal state of the bolt, and can analyze the bolt jump data to timely discover potential problems with the bolt, avoid the occurrence of bolt and wind turbine failures, which is beneficial to improving the operating efficiency and safety of the wind turbine. It can also comprehensively determine the state monitoring results of the bolts based on the jump judgment results and the state monitoring parameters, which is conducive to improving the accuracy and reliability of the state monitoring results corresponding to the bolts, as well as the intelligence and efficiency of determining the state monitoring results corresponding to the bolts. It can also combine the state monitoring parameters, jump judgment results and bolt state monitoring models to improve the operating safety, accuracy and reliability of the bolts, which is conducive to improving the safe and stable operation of wind turbines. By introducing the bolt state monitoring model, the automation and intelligence of bolt state monitoring can be realized, which is conducive to improving the accuracy and efficiency of monitoring the bolt state, and thus is conducive to further improving the safety, accuracy and intelligence of wind turbine operation.

[0103] In an optional embodiment, when the target sensor includes an angle monitoring sensor, real-time data of the bolt is collected by the target sensor, and data processing operations are performed on the real-time data to obtain target data, including:

[0104] Collecting real-time data of the bolts through an angle monitoring sensor, wherein the real-time data includes real-time angle data of the bolts;

[0105] Calculating parameters according to a predetermined rotation ratio and performing a data processing operation on the real-time data through a predetermined data processor to obtain second data, wherein the target data at least includes the second data;

[0106] Furthermore, when the target sensor includes a magnetic field monitoring sensor, real-time data of the bolt is collected by the target sensor, and a predetermined data processor performs a data processing operation on the real-time data to obtain target data, including:

[0107] Collecting real-time magnetic field data of the bolt through a magnetic field monitoring sensor, wherein the real-time magnetic field data includes magnetic field data of a target axis corresponding to the bolt;

[0108] According to a predetermined magnetic field ratio calculation parameter, a data calculation and processing operation is performed on the real-time magnetic field data through a predetermined data processor to obtain first data, wherein the target data at least includes the first data.

[0109] In this optional embodiment, the angle monitoring sensor is also called an angle sensor or an angular displacement sensor, which is a device that can measure the rotation angle of an object. It consists of a sensitive element, a signal processing circuit and an external structure, and can convert the rotation angle of a rotating bearing into an electrical signal output, so that the control system can perform calculations and processing to achieve corresponding motion control and automatic operation; Optionally, the magnetic field monitoring sensor may include a Hall sensor. The magnetic field monitoring sensor, usually called a magnetic field sensor (Magnetic Field Sensor), is a device used to detect and measure the surrounding magnetic field. It can sense and measure the strength, direction and changes of the magnetic field, and plays an important role in various application fields. The working principle of the magnetic field sensor is based on Faraday's law of electromagnetic induction, that is, when the magnetic field lines pass through the conductor loop, it will cause the movement of charges in the conductor, thereby generating an induced electromotive force in the loop. The magnetic field sensor uses this induced electromotive force to measure the strength and direction of the magnetic field; magnetic field sensors can be implemented in a variety of ways, including magnetoresistive sensors, magnetic induction sensors and magnetoelectric sensors. Magnetoresistive sensors use the magnetoresistance effect of materials to achieve measurement. Magnetic induction sensors work based on the principle of magnetic induction and measure the magnetic field strength by detecting the induced voltage of the magnetic field on the internal coil of the sensor, while magnetoelectric sensors use the magnetoelectric effect of materials to achieve measurement.

[0110] In this optional embodiment, optionally, the target sensor may include only an angle monitoring sensor, or only a magnetic field monitoring sensor, or may include both an angle monitoring sensor and a magnetic field monitoring sensor, which is not specifically limited in the embodiment of the present invention.

[0111] In this optional embodiment, optionally, the real-time angle data of the bolt includes current rotation angle data of the bolt.

[0112] In this optional embodiment, optionally, the real-time magnetic field data includes magnetic field data obtained by detecting the X-axis corresponding to the bolt and the Y-axis corresponding to the bolt through the magnet built into the magnetic field monitoring sensor. The magnetic field data of the target axis includes the magnetic field data of the X-axis corresponding to the bolt and the magnetic field data of the Y-axis corresponding to the bolt.

[0113] In this optional embodiment, optionally, the target data may include one or more of second angle-based data obtained by calculating the rotation ratio parameters and the data processor performing data processing operations on the real-time data, and first magnetic field data-based data obtained by calculating the magnetic field ratio parameters and the data processor performing data calculation and processing operations on the real-time magnetic field data.

[0114] It can be seen that the embodiment of this optional embodiment can collect real-time data of the bolt when the target sensor includes an angle monitoring sensor and perform data processing operations on the real-time data according to the predetermined rotation ratio calculation parameters to obtain target data, and when the target sensor includes a magnetic field monitoring sensor, collect real-time magnetic field data of the bolt and perform data calculation processing operations on the real-time magnetic field data according to the predetermined magnetic field ratio calculation parameters to obtain target data. By using the predetermined rotation ratio calculation parameters and magnetic field ratio calculation parameters, the collected real-time data can be properly processed to meet specific application requirements or data analysis purposes. When the target sensor includes a corresponding type of sensor, the calculation parameters that match it can be selected, which is conducive to improving the accuracy and reliability of the target data calculated based on the calculation parameters, and is conducive to improving the flexibility and intelligence of the target data calculated, so that by monitoring and analyzing the real-time data of the bolt, potential failures or shutdowns can be prevented, production losses and maintenance costs can be reduced, and then by using angle monitoring sensors and magnetic field monitoring sensors, combined with appropriate data processing operations, accurate monitoring and data analysis of the bolt can be achieved, which is conducive to improving the accuracy and reliability of the subsequent target data of the bolt, providing strong support for the safe operation and efficient maintenance of the wind turbine, and further conducive to improving the safety of the wind turbine in performing operation operations.

[0115] In another optional embodiment, the target data is obtained by performing data calculation and processing operations on the real-time magnetic field data through a predetermined data processor according to the predetermined magnetic field ratio calculation parameters, including:

[0116] Based on the real-time data, determine first target axis data corresponding to the bolt and second target axis data corresponding to the bolt;

[0117] According to the predetermined magnetic field ratio calculation parameter, a data calculation processing operation is performed on the first target axis data and the second target axis data to obtain the target axis data of the bolt;

[0118] By means of a predetermined data processor, a data comparison operation is performed based on the target axis data and the predetermined target reference data to obtain a data comparison result, and the target data is determined based on the data comparison result;

[0119] The target axis data includes the first target axis data and the target axis magnetic field change data corresponding to the second target axis data.

[0120] In this optional embodiment, optionally, determining the first target axis data corresponding to the bolt and the second target axis data corresponding to the bolt based on the real-time data may include:

[0121] Determine the first target axis corresponding to the bolt and the second target axis corresponding to the bolt. Based on the first target axis and the second target axis, determine the first target axis data matching the first target axis from the real-time data and determine the second target axis data matching the second target axis from the real-time data.

[0122] In this optional embodiment, the first target axis data may include X-axis magnetic field data corresponding to the bolt, and the second target axis data may include Y-axis magnetic field data corresponding to the bolt. Further, the target axis data includes X-axis magnetic field change data and Y-axis magnetic field change data.

[0123] In this optional embodiment, optionally, performing data calculation processing operations on the first target axis data and the second target axis data according to the predetermined magnetic field ratio calculation parameters to obtain the target axis data of the bolt may include:

[0124] Based on the predetermined magnetic field ratio calculation parameters, the target calculation ratio parameters between the first target axis data and the second target axis data are determined, and data calculation processing operations are performed on the first target axis data and the second target axis data based on the target calculation ratio parameters to obtain the target axis data of the bolt.

[0125] In this optional embodiment, optionally, performing a data comparison operation based on the target axis data and the predetermined target reference data by a predetermined data processor to obtain a data comparison result, and determining the target data based on the data comparison result may include:

[0126] Through a predetermined data processor, based on the target shaft data, the angle change value corresponding to the bolt is determined, a data comparison operation is performed on the angle change value and the predetermined target reference data to obtain a data comparison result, and based on the data comparison result, a target data relationship that matches the data comparison result is determined in a predetermined data matching relationship, and the target data is determined based on the target data relationship and the data comparison result.

[0127] In this optional embodiment, optionally, for example, a magnet is built into the magnetic field monitoring sensor. When the position of the bolt changes, it will cause the position of the magnet in the magnetic field monitoring sensor to change, thereby generating a magnetic field change. By detecting the X-axis magnetic field data and the Y-axis magnetic field data corresponding to the bolt, the rotation change of the bolt can be calculated, and the angle change of the bolt can be calculated based on the magnetic field change data, thereby determining the target data of the bolt.

[0128] It can be seen that the implementation of this optional embodiment can determine the first target axis data and the second target axis data of the bolt based on the real-time data, and perform data calculation and processing operations on the first target axis data and the second target axis data according to the predetermined magnetic field ratio calculation parameters to obtain the target axis data of the bolt, perform data comparison operations based on the target axis data and the target reference data to obtain the data comparison results and then determine the target data, and can process the original data by applying the magnetic field ratio calculation parameters, which can effectively reduce measurement errors and noise interference, thereby helping to improve the accuracy and reliability of the real-time magnetic field data, and by simultaneously monitoring the magnetic field data of the first target axis and the second target axis corresponding to the bolt , can have a more comprehensive understanding of the status of the bolts, can improve the accuracy and reliability of the calculation and processing of the bolt data through multi-dimensional data monitoring, and by comparing the target axis data with the predetermined target benchmark data, the system can identify abnormal changes in the bolt status and issue early warnings, which can help prevent equipment shutdown or damage caused by bolt failure, and help improve the operating reliability, safety and efficiency of wind turbines. Through the processing and analysis of real-time data, it can provide intelligent decision-making support for bolt status monitoring and fault diagnosis, which helps to improve the intelligence level of equipment, and thus help to improve the operating efficiency, intelligence and safety of wind turbines.

[0129] In yet another optional embodiment, the target data is obtained by calculating the parameters according to the predetermined rotation ratio and performing data processing operations on the real-time data through a predetermined data processor, including:

[0130] Determine, by a predetermined data processor, a target calculation ratio corresponding to the real-time data according to the predetermined rotation ratio calculation parameters and the real-time data, and perform a data processing operation on the real-time data based on the real-time data and the target calculation ratio to obtain target ratio data;

[0131] Determine the data ratio relationship between the target ratio data and the real-time data, and judge whether the data ratio relationship meets the preset data processing conditions;

[0132] When it is determined that the data ratio relationship meets the preset data processing conditions, target data is generated based on the target ratio data;

[0133] When it is determined that the data ratio relationship does not satisfy the preset data processing conditions, a ratio adjustment parameter corresponding to the target ratio data is generated based on the data ratio relationship and the preset data processing conditions, an adjustment operation is performed on the target ratio data based on the ratio adjustment parameter, and the adjusted target ratio data is used to generate the target data.

[0134] In this optional embodiment, optionally, determining the target calculation ratio corresponding to the real-time data according to the predetermined rotation ratio calculation parameter and the real-time data may include:

[0135] According to the real-time data, the data calculation requirements matching the real-time data are determined, and based on the data calculation requirements, a target calculation ratio corresponding to the data calculation requirements matching the real-time data is determined in the predetermined rotation ratio calculation parameters.

[0136] In this optional embodiment, optionally, the aforementioned performing a data processing operation on the real-time data based on the real-time data and the target calculation ratio by a predetermined data processor to obtain the target ratio data may include: performing a data amplification operation on the real-time data according to the target calculation ratio by a predetermined data processor based on the real-time data and the target calculation ratio to obtain the target ratio data after amplification. Further optionally, the target calculation ratio may be 1:6, that is, if the real-time data is used to indicate that the bolt has rotated 1 degree, the target ratio data is used to indicate that the bolt has rotated 6 degrees.

[0137] In this optional embodiment, optionally, the above-mentioned determination of whether the data ratio relationship meets the preset data processing condition may include:

[0138] Based on the data ratio relationship, determine the data ratio difference between the real-time data and the target ratio data, and judge whether the data ratio difference is greater than or equal to a preset difference threshold;

[0139] When it is determined that the data ratio difference is greater than or equal to the preset difference threshold, it is determined that the data ratio relationship does not meet the preset data processing conditions; when it is determined that the data ratio difference is less than the preset difference threshold, it is determined that the data ratio relationship meets the preset data processing conditions.

[0140] In this optional embodiment, optionally, the above-mentioned generating the proportion adjustment parameter corresponding to the target proportion data based on the data proportion relationship and the preset data processing conditions may include:

[0141] Generate data processing requirement parameters based on data proportion relationship and preset data processing conditions;

[0142] The parameter matching degree between the data processing requirement parameter and each adjustment parameter included in the predetermined adjustment parameter set is calculated, and the highest matching degree is selected from all parameter matching degrees, and the adjustment parameter corresponding to the highest matching degree is determined as the proportion adjustment parameter corresponding to the target proportion data.

[0143] It can be seen that the implementation of this optional embodiment can determine the target calculation ratio according to the predetermined rotation ratio calculation parameters and implementation data, perform data processing operations on the real-time data based on the real-time data and the target calculation ratio to obtain the target ratio data and determine the data ratio relationship between the target ratio data and the real-time data and judge whether the data ratio relationship meets the data processing conditions. If it meets the conditions, the target data is generated. If it does not meet the conditions, the ratio adjustment parameters corresponding to the target ratio data are generated based on the data ratio relationship and the data processing conditions, and the target ratio data is adjusted to generate the target data. The target calculation ratio can be calculated by using the rotation ratio calculation parameters and the real-time data, and then the real-time data is processed based on the ratio, which can ensure the accuracy of data processing, and by judging whether the data ratio relationship between the target ratio data and the real-time data meets the preset data processing conditions. The software can use the hardware to decide whether adjustment is needed, which can improve the flexibility of data processing, and is conducive to improving the accuracy and reliability of the target data, and is conducive to improving the intelligence and flexibility of calculating the target data. When the data proportion relationship does not meet the preset data processing conditions, the corresponding proportion adjustment parameters will be generated, and the target proportion data will be adjusted. The target proportion data can be automatically adjusted to generate the target data, which is conducive to further improving the accuracy and reliability of the generated target data, and is conducive to further improving the intelligence and flexibility of the generated target data, and is also conducive to improving the processing accuracy and processing accuracy when processing the bolt data, and is further conducive to improving the accuracy and reliability of determining the status monitoring results of the bolts, and is conducive to improving the safety, intelligence and flexibility of determining the status monitoring results of the bolts.

[0144] In another optional embodiment, according to the state monitoring parameter and the jump judgment result, combined with a predetermined bolt state monitoring model, the state monitoring result corresponding to the bolt is determined, including:

[0145] Based on the jump judgment result and the predetermined bolt state monitoring model, a first model output result is generated, and it is determined whether the first model output result is used to indicate that the bolt has bolt jump data;

[0146] When it is determined that the output result of the first model is used to indicate that the bolt has bolt jump data, determining that the state monitoring result corresponding to the bolt includes a bolt fracture monitoring result;

[0147] When it is determined that the first model output result is used to indicate that there is no bolt jump data for the bolt, a second model output result is generated based on the state monitoring parameters and a predetermined bolt state monitoring model, and the rotation state parameters of the bolt are determined based on the second model output result, and the state monitoring result corresponding to the bolt is determined based on the rotation state parameters.

[0148] In this optional embodiment, optionally, a predetermined bolt state monitoring model is used to perform a data verification operation on the jump judgment result to further determine whether the bolt has bolt jump data; this can further improve the accuracy of determining whether the bolt includes bolt jump data and further improve the accuracy of determining the bolt state monitoring result of the bolt.

[0149] In this optional embodiment, optionally, the above-mentioned generating a second model output result based on the state monitoring parameter and the predetermined bolt state monitoring model, determining the rotation state parameter of the bolt based on the second model output result, and determining the state monitoring result corresponding to the bolt based on the rotation state parameter may include:

[0150] Inputting the state monitoring parameters into a predetermined bolt state monitoring model to obtain a second model output result, wherein the second model output result includes the state monitoring parameters of the bolt;

[0151] Based on the output result of the second model, the rotation angle parameter of the bolt is determined, and based on the rotation angle parameter of the bolt, the rotation state parameter of the bolt is determined, the key state parameters in the rotation state parameters are extracted, and based on the key state parameters, the state monitoring result corresponding to the bolt is determined; wherein the state monitoring result includes one of the loosening warning state monitoring result and the loosening alarm state monitoring result.

[0152] It can be seen that the implementation of this optional embodiment can generate a first model output result based on the jump judgment result and the bolt state monitoring model and determine whether it indicates that the bolt has bolt jump data. If so, it is determined that the state monitoring result corresponding to the bolt includes the bolt fracture monitoring result. Otherwise, the second model output result is generated based on the state monitoring parameter and the bolt state monitoring model to determine the rotation state parameter of the bolt and then determine the state monitoring result corresponding to the bolt. By combining the jump judgment result and the state monitoring parameter and performing a comprehensive analysis through the bolt state monitoring model, it is beneficial to improve the accuracy and reliability of the state monitoring of the bolt, as well as to improve the intelligence and efficiency of the state monitoring of the bolt. Compared with relying only on a single parameter or a simple threshold, the state monitoring result of the bolt is comprehensively determined, which is beneficial to improve the accuracy, authenticity and reliability of the state monitoring result of the bolt. By accurately monitoring the bolt through this method, it can ensure that the wind turbine operates in the best state, thereby improving the operating efficiency and economic benefits of the wind turbine, and is also beneficial to improving the operating reliability and operating safety of the wind turbine. It is further beneficial to improve the accuracy and reliability of determining the state monitoring result of the bolt, as well as to improve the safety, intelligence and flexibility of determining the state monitoring result of the bolt.

[0153] In yet another optional embodiment, after determining the state monitoring result corresponding to the bolt according to the state monitoring parameter and the predetermined bolt state monitoring model, the method further includes:

[0154] According to the state monitoring result corresponding to the bolt, determine whether the state monitoring result of the bolt meets the preset bolt operation condition;

[0155] When it is determined that the state monitoring result of the bolt does not meet the preset bolt operation condition, analyzing the target factor that the state monitoring result of the bolt does not meet the preset bolt operation condition, wherein the target factor includes an internal influencing factor and / or an external influencing factor;

[0156] Based on all target factors, the bolts to be processed are determined from all bolts, and the real-time information of the bolts to be processed is obtained. Based on the real-time information of the bolts and all target factors, the processing parameters of the bolts are generated, and the bolt processing operations matching the processing parameters are performed on the bolts to update the state monitoring results corresponding to the bolts, and re-trigger the execution step of judging whether the state monitoring results of the bolts meet the preset bolt operating conditions according to the state monitoring results corresponding to the bolts.

[0157] In this optional embodiment, optionally, the target factor for analyzing the state monitoring result of the bolt not meeting the preset bolt operation condition may include:

[0158] Based on the state monitoring results of the bolts and the preset bolt operating conditions, the influence correlation relationship between the state monitoring results and the bolt operating conditions is determined. Based on the influence correlation relationship, a target factor whose matching degree with the influence correlation relationship is greater than or equal to a preset matching degree threshold is determined from a predetermined factor set.

[0159] In this optional embodiment, further optionally, when it is determined that the state monitoring result of the bolt meets the preset bolt operating condition, the process can be terminated.

[0160] In this optional embodiment, optionally, the internal influencing factors may include one or more of steering influencing factors, operation influencing factors, component friction influencing factors, and rotation speed influencing factors; the external influencing factors may include one or more of wind force influencing factors, wind direction influencing factors, and foreign object influencing factors.

[0161] In this optional embodiment, optionally, the above-mentioned generating a processing parameter of the bolt based on the real-time information of the bolt and all target factors, and performing a bolt processing operation matching the processing parameter on the bolt to update the state monitoring result corresponding to the bolt may include:

[0162] Based on the real-time information of the bolt and all target factors, at least one sub-processing parameter is generated, and based on all the sub-processing parameters, the processing parameters of the bolt are generated, and the bolt processing operation matching the processing parameters is performed on the bolt, and the real-time status information of the processed bolt is obtained, and based on the real-time status information, the status monitoring result corresponding to the bolt is updated.

[0163] It can be seen that the implementation of this optional embodiment can determine whether the state monitoring result of the bolt meets the preset bolt operating condition based on the state monitoring result corresponding to the bolt. If not, the target factor of the bolt state monitoring result not meeting the bolt operating condition is analyzed, and the bolts to be processed are determined from the bolts based on all the target factors and the real-time bolt information of all the bolts to be processed is obtained, and the processing parameters of the bolts are generated based on the real-time information of the bolts and all the target factors, and the bolt processing operation matching the processing parameters is performed on the bolts to update the state monitoring result corresponding to the bolt. When it is determined that the state monitoring result of the bolt does not meet the preset bolt operating condition, the target factor that does not meet the condition can be quickly analyzed, which includes internal influencing factors and external influencing factors, and can be combined with internal and external factors. The dual influencing factors comprehensively generate the processing parameters of the bolts, which is conducive to improving the accuracy and reliability of the subsequent generation of the processing parameters of the bolts, as well as improving the intelligence and efficiency of the subsequent generation of the processing parameters of the bolts. Based on all the target factors, the bolts to be processed can be determined and the real-time information of the bolts can be obtained. Combining the real-time information of the bolts and the target factors, accurate processing parameters can be generated, and bolt processing operations matching these parameters can be performed on the bolts, which is conducive to improving the accuracy and reliability of the corresponding bolt processing operations, as well as improving the intelligence and efficiency of the corresponding bolt processing operations, and thus helping to improve the operating safety and reliability of the bolts, and further helping to improve the operating safety, stability and reliability of the wind turbines.

[0164] In yet another optional embodiment, judging whether the state monitoring result of the bolt meets the preset bolt operation condition according to the state monitoring result corresponding to the bolt includes:

[0165] According to the state monitoring results corresponding to the bolts, determine the abnormal quantity information and the abnormal degree information of the bolts, and generate the target abnormal value of the bolts based on the abnormal quantity information and the abnormal degree information of the bolts;

[0166] Determine whether the target abnormal value is greater than or equal to a preset target abnormal threshold;

[0167] When it is determined that the target abnormal value is greater than or equal to the preset target abnormal threshold, it is determined that the state monitoring result of the bolt does not meet the preset bolt operation condition; when it is determined that the target abnormal value is less than the preset target abnormal threshold, it is determined that the state monitoring result of the bolt meets the preset bolt operation condition;

[0168] And, determine the bolts to be processed from all bolts based on all target factors, including:

[0169] Determine the factor weight value corresponding to each target factor, and select key factors whose factor weight values ​​are greater than or equal to a preset weight threshold based on the factor weight values ​​corresponding to all target factors;

[0170] For each key factor, determine the matching relationship between the key factor and each bolt, and determine the matching degree between the key factor and each bolt based on the matching relationship between the key factor and each bolt, determine the highest matching degree from the matching degrees between the key factor and each bolt, and determine the bolt corresponding to the highest matching degree as the target processing bolt corresponding to the key factor;

[0171] Based on the target processing bolts corresponding to all key factors, determine the bolts to be processed.

[0172] In this optional embodiment, optionally, the above-mentioned generating a target abnormal value of the bolt based on the abnormal quantity information and abnormal degree information of the bolt may include:

[0173] Inputting the abnormal quantity information and abnormal degree information of the bolts into a predetermined abnormal value calculation model to obtain the model calculation output result, and outputting the target abnormal value of the bolt based on the model calculation output result;

[0174] Among them, if the abnormal number information of the bolts indicates that the more abnormal the bolts are and the abnormal degree information indicates that the higher the abnormal degree of the bolts is, the larger the target abnormality value is; if the abnormal number information of the bolts indicates that the smaller the abnormal number of the bolts is and the abnormal degree information indicates that the abnormal degree of the bolts is, the smaller the target abnormality value is.

[0175] In this optional embodiment, the bolts to be processed optionally include target processing bolts corresponding to all key factors.

[0176] In this optional embodiment, optionally, the matching relationship between the key factor and the bolt is used to represent the influence degree relationship between the key factor and the bolt.

[0177] It can be seen that the implementation of this optional embodiment can determine the abnormal quantity information and the abnormal degree information according to the state monitoring result corresponding to the bolt, and then generate a target abnormal value for the bolt, judge whether the target abnormal value is greater than or equal to the preset target abnormal threshold value, if it is greater than or equal to, determine that the state monitoring result of the bolt does not meet the preset bolt operation condition, if it is less than, determine that the state monitoring result of the bolt meets the bolt operation condition; and determine the factor weight value corresponding to each target factor and screen out the key factors based on the factor weight values ​​corresponding to all target factors, determine the matching relationship between each key factor and each bolt, and then determine the matching degree, screen out the highest matching degree and determine the bolt corresponding to the highest matching degree as the target processing bolt, and then determine the bolt to be processed, which can generate a target abnormal value by combining the abnormal quantity information and the abnormal degree information. value, thereby quantitatively evaluating the abnormality of the bolt based on the target abnormal value. This quantitative evaluation method can more accurately judge whether the state of the bolt meets the preset operating conditions, improves the accuracy and reliability of the judgment, and can more comprehensively analyze the factors of the bolt state by comprehensively considering multiple target factors, which is conducive to improving the accuracy and reliability of determining the target processing bolts and the bolts to be processed, and is conducive to improving the intelligence and efficiency of determining the target processing bolts and the bolts to be processed, and by setting a weight value for each target factor and screening out the key factors whose factor weight values ​​are greater than or equal to the preset weight threshold, the factors that have the greatest impact on the bolt state can be identified, and based on the matching relationship between the key factors and the bolts, the bolts that need to be processed first can be determined, which is conducive to improving the pertinence and efficiency of determining the bolts to be processed, and is conducive to improving the accuracy and reliability of executing the corresponding bolt processing operations, and is conducive to improving the intelligence and efficiency of executing the corresponding bolt processing operations, thereby improving the operating safety and reliability of the bolts, and further, it is also conducive to improving the operating safety, stability and reliability of the wind turbine.

[0178] Embodiment 3

[0179] See also Figure 3 , Figure 3 Schematic diagram of the structure of a bolt status monitoring device disclosed in an embodiment of the present invention. Figure 3 As shown, the bolt condition monitoring device may include:

[0180] The processing module 301 is used to collect real-time data of the bolt through a target sensor, and perform data processing operations on the real-time data through a predetermined data processor to obtain target data; wherein the target sensor includes an angle monitoring sensor and / or a magnetic field monitoring sensor;

[0181] A first determination module 302 is used to determine a state monitoring parameter corresponding to the bolt based on the target data;

[0182] The second determination module 303 is used to determine the state monitoring result corresponding to the bolt according to the state monitoring parameters and the predetermined bolt state monitoring model.

[0183] It can be seen that the implementation Figure 3 The described device can collect real-time data of bolts through target sensors and perform data processing operations on the real-time data to obtain target data, determine the state monitoring parameters corresponding to the bolts based on the target data, and determine the state monitoring results corresponding to the bolts according to the state monitoring parameters and the bolt state monitoring model. Real-time collection of bolt data through target sensors can ensure the timeliness and real-time nature of the data, and is conducive to improving the accuracy and reliability of the collected real-time data of the bolts, thereby providing timely information data support for subsequent state monitoring of the bolts, and based on the real-time data and state monitoring parameters, it can predict potential problems or faults of the bolts, which is conducive to improving the accuracy and reliability of subsequent state monitoring results of the bolts, thereby enabling real-time monitoring of the state of the bolts to promptly discover and handle abnormal situations, thereby improving the intelligence and efficiency of real-time monitoring of the state of the bolts, and avoiding errors or accidents of wind turbines due to bolt problems, thereby improving the safety of wind turbine operation.

[0184] In an optional embodiment, if Figure 4 As shown, the device also includes:

[0185] An acquisition module 304 is used to acquire bolt data of the bolt within a preset target time period before the second determination module 303 determines the state monitoring result corresponding to the bolt according to the state monitoring parameters and the predetermined bolt state monitoring model;

[0186] The first judgment module 305 is used to judge whether there is bolt jump data in all bolt data, and obtain a jump judgment result, wherein the bolt jump data includes data corresponding to the bolt data within a preset target time period, the data change amount of which is greater than or equal to the data corresponding to the preset data change threshold;

[0187] The second determination module 303 determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and the predetermined bolt state monitoring model in a specific manner including:

[0188] According to the state monitoring parameters and the jump judgment results, combined with the predetermined bolt state monitoring model, the state monitoring results corresponding to the bolts are determined.

[0189] It can be seen that the implementation Figure 4The described device can obtain the bolt data of the bolt within a preset target time period and determine whether there is bolt jump data in all the bolt data to obtain a jump judgment result, and determine the state monitoring result corresponding to the bolt based on the state monitoring parameters and the jump judgment result combined with a predetermined bolt state monitoring model, and can determine whether there is jump data based on the bolt data within the target time period, thereby improving the accuracy and reliability of determining whether there is bolt jump data, and can more accurately identify the abnormal state of the bolt, and can analyze the bolt jump data to timely discover potential problems with the bolt, avoid the occurrence of bolt and wind turbine failures, which is beneficial to improving the operating efficiency and operating safety of the wind turbine, and can also It can comprehensively determine the state monitoring result of the bolt based on the jump judgment result and the state monitoring parameter, which is beneficial to improving the accuracy and reliability of the state monitoring result corresponding to the bolt, as well as the intelligence and efficiency of determining the state monitoring result corresponding to the bolt. It can also combine the state monitoring parameters, jump judgment results and bolt state monitoring model to improve the operation safety, operation accuracy and reliability of the bolt, which is beneficial to improving the safe and stable operation of the wind turbine. By introducing the bolt state monitoring model, the automation and intelligence of the bolt state monitoring can be realized, which is beneficial to improving the accuracy and efficiency of monitoring the bolt state, and then it is beneficial to further improve the safety, accuracy and intelligence of the wind turbine operation.

[0190] In another optional embodiment, Figure 4 As shown, when the target sensor includes an angle monitoring sensor, the processing module 301 collects real-time data of the bolt through the target sensor, and performs data processing operations on the real-time data through a predetermined data processor. The specific method of obtaining the target data includes:

[0191] Collecting real-time data of the bolts through an angle monitoring sensor, wherein the real-time data includes real-time angle data of the bolts;

[0192] Calculating parameters according to a predetermined rotation ratio and performing data processing operations on real-time data through a predetermined data processor to obtain target data;

[0193] Furthermore, when the target sensor includes a magnetic field monitoring sensor, the processing module 301 collects real-time data of the bolt through the target sensor, and performs data processing operations on the real-time data through a predetermined data processor. The specific method of obtaining the target data includes:

[0194] Collecting real-time magnetic field data of the bolt through a magnetic field monitoring sensor, wherein the real-time magnetic field data includes magnetic field data of a target axis corresponding to the bolt;

[0195] According to the predetermined magnetic field ratio calculation parameter pair and through the predetermined data processor real-time magnetic field data, data calculation processing operation is performed to obtain target data.

[0196] It can be seen that the implementation Figure 4 The described device can collect real-time data of the bolt when the target sensor includes an angle monitoring sensor and perform data processing operations on the real-time data according to the predetermined rotation ratio calculation parameters to obtain the target data, and can collect real-time magnetic field data of the bolt when the target sensor includes a magnetic field monitoring sensor and perform data calculation processing operations on the real-time magnetic field data according to the predetermined magnetic field ratio calculation parameters to obtain the target data. By using the predetermined rotation ratio calculation parameters and magnetic field ratio calculation parameters, the collected real-time data can be appropriately processed to meet specific application requirements or data analysis purposes. When the target sensor includes a corresponding type of sensor, the calculation parameters matching the target sensor can be selected, which is conducive to improving the accuracy and reliability of the target data calculated based on the calculation parameters, and is conducive to improving the flexibility and intelligence of the target data calculated. Therefore, by monitoring and analyzing the real-time data of the bolt, potential failures or shutdowns can be prevented, production losses and maintenance costs can be reduced, and then by using the angle monitoring sensor and the magnetic field monitoring sensor, combined with appropriate data processing operations, accurate monitoring and data analysis of the bolt can be achieved, which is conducive to improving the accuracy and reliability of the target data subsequently obtained from the bolt, providing strong support for the safe operation and efficient maintenance of the wind turbine, and further conducive to improving the safety of the wind turbine in performing operation operations.

[0197] In yet another optional embodiment, Figure 4 As shown, the processing module 301 performs data calculation and processing operations on the real-time magnetic field data according to the predetermined magnetic field ratio calculation parameters and through the predetermined data processor, and the specific method of obtaining the target data includes:

[0198] Based on the real-time data, determine first target axis data corresponding to the bolt and second target axis data corresponding to the bolt;

[0199] According to the predetermined magnetic field ratio calculation parameter, a data calculation processing operation is performed on the first target axis data and the second target axis data to obtain the target axis data of the bolt;

[0200] By means of a predetermined data processor, a data comparison operation is performed based on the target axis data and the predetermined target reference data to obtain a data comparison result, and the target data is determined based on the data comparison result;

[0201] The target axis data includes the first target axis data and the target axis magnetic field change data corresponding to the second target axis data.

[0202] It can be seen that the implementation Figure 4 The described device can determine the first target axis data and the second target axis data of the bolt based on real-time data, and perform data calculation and processing operations on the first target axis data and the second target axis data according to the predetermined magnetic field ratio calculation parameters to obtain the target axis data of the bolt, perform data comparison operations based on the target axis data and the target reference data to obtain the data comparison results and then determine the target data, can process the original data by applying the magnetic field ratio calculation parameters, can effectively reduce measurement errors and noise interference, thereby helping to improve the accuracy and reliability of real-time magnetic field data, and by simultaneously monitoring the magnetic field data of the first target axis and the second target axis corresponding to the bolt, can more comprehensively understand the state of the bolt, can improve the accuracy and reliability of the calculation and processing of the bolt data through the monitoring method of multi-dimensional data, and by comparing the target axis data with the predetermined target reference data, the system can identify abnormal changes in the bolt state and issue an early warning, which can help prevent equipment shutdown or damage caused by bolt failure, and help improve the operating reliability, operating safety and operating efficiency of the wind turbine, and through the processing and analysis of real-time data, can provide intelligent decision support for bolt state monitoring and fault diagnosis, which helps to improve the intelligence level of equipment, and thus also helps to improve the operating efficiency, operating intelligence and safety of the wind turbine.

[0203] In yet another optional embodiment, Figure 4 As shown, the processing module 301 calculates parameters according to the predetermined rotation ratio and performs data processing operations on the real-time data through a predetermined data processor. The specific method of obtaining the target data includes:

[0204] Determine, by a predetermined data processor, a target calculation ratio corresponding to the real-time data according to the predetermined rotation ratio calculation parameters and the real-time data, and perform a data processing operation on the real-time data based on the real-time data and the target calculation ratio to obtain target ratio data;

[0205] Determine the data ratio relationship between the target ratio data and the real-time data, and judge whether the data ratio relationship meets the preset data processing conditions;

[0206] When it is determined that the data ratio relationship meets the preset data processing conditions, target data is generated based on the target ratio data;

[0207] When it is determined that the data ratio relationship does not meet the preset data processing conditions, a ratio adjustment parameter corresponding to the target ratio data is generated based on the data ratio relationship and the preset data processing conditions, an adjustment operation is performed on the target ratio data based on the ratio adjustment parameter, and the adjusted target ratio data is used to generate the target data.

[0208] It can be seen that the implementation Figure 4 The described device can determine the target calculation ratio according to the predetermined rotation ratio calculation parameters and implementation data, perform data processing operations on the real-time data based on the real-time data and the target calculation ratio to obtain the target ratio data, determine the data ratio relationship between the target ratio data and the real-time data, and judge whether the data ratio relationship meets the data processing conditions. If so, the target data is generated. If not, the ratio adjustment parameters corresponding to the target ratio data are generated based on the data ratio relationship and the data processing conditions, and the target ratio data is adjusted to generate the target data. The target calculation ratio can be calculated by using the rotation ratio calculation parameters and the real-time data, and then the real-time data is processed based on the ratio, so as to ensure the accuracy of data processing, and determine whether the data ratio relationship between the target ratio data and the real-time data meets the preset data processing conditions. Determining whether adjustment is needed can improve the flexibility of data processing, and is conducive to improving the accuracy and reliability of obtaining target data, and is conducive to improving the intelligence and flexibility of calculating target data. When the data proportion relationship does not meet the preset data processing conditions, the corresponding proportion adjustment parameters will be generated, and the target proportion data will be adjusted. The target proportion data can be automatically adjusted to generate the target data, which is conducive to further improving the accuracy and reliability of generating target data, and is conducive to further improving the intelligence and flexibility of generating target data, and is also conducive to improving the processing accuracy and processing accuracy when processing the bolt data, and is further conducive to improving the accuracy and reliability of determining the status monitoring results of the bolt, and is conducive to improving the safety, intelligence and flexibility of determining the status monitoring results of the bolt.

[0209] In yet another optional embodiment, Figure 4 As shown, the second determination module 303 determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and the jump judgment result, combined with the predetermined bolt state monitoring model, in a specific manner including:

[0210] Based on the jump judgment result and the predetermined bolt state monitoring model, a first model output result is generated, and it is determined whether the first model output result is used to indicate that the bolt has bolt jump data;

[0211] When it is determined that the output result of the first model is used to indicate that the bolt has bolt jump data, determining that the state monitoring result corresponding to the bolt includes a bolt fracture monitoring result;

[0212] When it is determined that the first model output result is used to indicate that there is no bolt jump data for the bolt, a second model output result is generated based on the state monitoring parameters and a predetermined bolt state monitoring model, and the rotation state parameters of the bolt are determined based on the second model output result, and the state monitoring result corresponding to the bolt is determined based on the rotation state parameters.

[0213] It can be seen that the implementation Figure 4 The described device can generate a first model output result based on the jump judgment result and the bolt state monitoring model and judge whether it indicates that the bolt has bolt jump data. If so, it is determined that the state monitoring result corresponding to the bolt includes the bolt fracture monitoring result. Otherwise, the second model output result is generated based on the state monitoring parameter and the bolt state monitoring model to determine the rotation state parameter of the bolt and then determine the state monitoring result corresponding to the bolt. By combining the jump judgment result and the state monitoring parameter and performing a comprehensive analysis through the bolt state monitoring model, it is beneficial to improve the accuracy and reliability of the state monitoring of the bolt, as well as to improve the intelligence and efficiency of the state monitoring of the bolt. Compared with relying only on a single parameter or a simple threshold, the comprehensive determination of the state monitoring result of the bolt can be beneficial to improve the accuracy, authenticity and reliability of the state monitoring result of the bolt, and the accurate monitoring of the bolt by this method can ensure that the wind turbine operates in the best state, thereby improving the operating efficiency and economic benefits of the wind turbine, and is also beneficial to improving the operating reliability and operating safety of the wind turbine. It is further beneficial to improve the accuracy and reliability of the state monitoring result of the bolt, as well as to improve the safety, intelligence and flexibility of the state monitoring result of the bolt.

[0214] In yet another optional embodiment, Figure 4 As shown, the device also includes:

[0215] A second judgment module 306 is used to judge whether the state monitoring result of the bolt meets the preset bolt operation condition according to the state monitoring result corresponding to the bolt after the second determination module 303 determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and the predetermined bolt state monitoring model;

[0216] An analysis module 307 is used to analyze the target factor of the bolt state monitoring result not meeting the preset bolt operation condition when the second judgment module 303 judges that the bolt state monitoring result does not meet the preset bolt operation condition, wherein the target factor includes an internal influencing factor and / or an external influencing factor;

[0217] A generating module 308 is used to determine the bolts to be processed from all the bolts based on all the target factors, obtain the real-time information of the bolts to be processed, and generate the processing parameters of the bolts based on the real-time information of the bolts and all the target factors;

[0218] The processing module 301 is also used to perform a bolt processing operation on the bolt that matches the processing parameters to update the state monitoring result corresponding to the bolt, and re-trigger the second judgment module 306 to perform an operation to determine whether the state monitoring result of the bolt meets the preset bolt operating conditions based on the state monitoring result corresponding to the bolt.

[0219] It can be seen that the implementation Figure 4 The described device can judge whether the state monitoring result of the bolt meets the preset bolt operation condition according to the state monitoring result corresponding to the bolt, and if not, analyze the target factor that the state monitoring result of the bolt does not meet the bolt operation condition, and determine the bolts to be processed from the bolts based on all the target factors and obtain the real-time bolt information of all the bolts to be processed, generate the processing parameters of the bolts based on the real-time information of the bolts and all the target factors, and perform the bolt processing operation matching the processing parameters on the bolts to update the state monitoring result corresponding to the bolt, and can quickly analyze the target factors that do not meet the conditions when it is judged that the state monitoring result of the bolt does not meet the preset bolt operation condition, which includes internal influencing factors and external influencing factors, and can combine internal and external dual influence factors. The processing parameters of bolts are generated comprehensively based on the response factors, which is conducive to improving the accuracy and reliability of the subsequent processing parameters of bolts, as well as improving the intelligence and efficiency of the subsequent processing parameters of bolts. The bolts to be processed can be determined based on all target factors and the real-time information of the bolts can be obtained. Accurate processing parameters can be generated by combining the real-time information of the bolts and the target factors, and bolt processing operations matching these parameters can be performed on the bolts, which is conducive to improving the accuracy and reliability of the corresponding bolt processing operations, as well as improving the intelligence and efficiency of the corresponding bolt processing operations, thereby improving the operating safety and reliability of the bolts, and further improving the operating safety, stability and reliability of wind turbines.

[0220] In yet another optional embodiment, Figure 4 As shown, the second judgment module 306 judges whether the state monitoring result of the bolt meets the preset bolt operation condition according to the state monitoring result corresponding to the bolt. The specific method includes:

[0221] According to the state monitoring results corresponding to the bolts, determine the abnormal quantity information and the abnormal degree information of the bolts, and generate the target abnormal value of the bolts based on the abnormal quantity information and the abnormal degree information of the bolts;

[0222] Determine whether the target abnormal value is greater than or equal to a preset target abnormal threshold;

[0223] When it is determined that the target abnormal value is greater than or equal to the preset target abnormal threshold, it is determined that the state monitoring result of the bolt does not meet the preset bolt operation condition; when it is determined that the target abnormal value is less than the preset target abnormal threshold, it is determined that the state monitoring result of the bolt meets the preset bolt operation condition;

[0224] And, the specific manner in which the generation module 308 determines the bolts to be processed from all the bolts based on all the target factors includes:

[0225] Determine the factor weight value corresponding to each target factor, and select key factors whose factor weight values ​​are greater than or equal to a preset weight threshold based on the factor weight values ​​corresponding to all target factors;

[0226] For each key factor, determine the matching relationship between the key factor and each bolt, and determine the matching degree between the key factor and each bolt based on the matching relationship between the key factor and each bolt, determine the highest matching degree from the matching degrees between the key factor and each bolt, and determine the bolt corresponding to the highest matching degree as the target processing bolt corresponding to the key factor;

[0227] Based on the target processing bolts corresponding to all key factors, determine the bolts to be processed.

[0228] It can be seen that the implementation Figure 4The described device can determine the abnormal quantity information and the abnormal degree information according to the state monitoring result corresponding to the bolt and then generate a target abnormal value of the bolt, judge whether the target abnormal value is greater than or equal to a preset target abnormal threshold value, if it is greater than or equal to, determine that the state monitoring result of the bolt does not meet the preset bolt operation condition, if it is less than, determine that the state monitoring result of the bolt meets the bolt operation condition; and determine the factor weight value corresponding to each target factor and screen out the key factors based on the factor weight values ​​corresponding to all target factors, determine the matching relationship between each key factor and each bolt and then determine the matching degree, screen out the highest matching degree and determine the bolt corresponding to the highest matching degree as the target processing bolt and then determine the bolt to be processed, and can generate a target abnormal value by combining the abnormal quantity information and the abnormal degree information, from The abnormality degree of the bolt is quantitatively evaluated based on the target abnormal value. This quantitative evaluation method can more accurately determine whether the state of the bolt meets the preset operating conditions, improve the accuracy and reliability of the judgment, and more comprehensively analyze the factors of the bolt state by comprehensively considering multiple target factors, which is conducive to improving the accuracy and reliability of determining the target processing bolts and the bolts to be processed, and is conducive to improving the intelligence and efficiency of determining the target processing bolts and the bolts to be processed. By setting a weight value for each target factor and screening out the key factors whose factor weight values ​​are greater than or equal to the preset weight threshold, the factors that have the greatest impact on the bolt state can be identified, and based on the matching relationship between the key factors and the bolts, the bolts that need to be processed first can be determined, which is conducive to improving the pertinence and efficiency of determining the bolts to be processed, and is conducive to improving the accuracy and reliability of executing the corresponding bolt processing operations, and is conducive to improving the intelligence and efficiency of executing the corresponding bolt processing operations, thereby improving the operating safety and reliability of the bolts, and further, it is also conducive to improving the operating safety, stability and reliability of wind turbines.

[0229] Embodiment 4

[0230] See also Figure 5 , Figure 5 FIG. 1 is a schematic diagram of the structure of another bolt status monitoring device disclosed in an embodiment of the present invention. Figure 5 As shown, the bolt condition monitoring device may include:

[0231] A memory 401 storing executable program codes;

[0232] a processor 402 coupled to the memory 401;

[0233] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the bolt state monitoring method described in the first embodiment of the present invention or the second embodiment of the present invention.

[0234] Embodiment 5

[0235] 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 in the bolt state monitoring method described in the first embodiment of the present invention or the second embodiment of the present invention.

[0236] Embodiment 6

[0237] 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 bolt state monitoring method described in Embodiment 1 or Embodiment 2.

[0238] 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.

[0239] 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.

[0240] Finally, it should be noted that the bolt status monitoring method and device 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 monitoring the state of a bolt, characterized in that: The method comprises: The real-time data of the bolt is collected by a target sensor, and a predetermined data processor performs a data processing operation on the real-time data to obtain target data; wherein the target sensor includes an angle monitoring sensor and / or a magnetic field monitoring sensor; Based on the target data, determining a state monitoring parameter corresponding to the bolt; Determine a state monitoring result corresponding to the bolt according to the state monitoring parameter and a predetermined bolt state monitoring model; The method of collecting the real-time data of the bolts through the target sensor and performing data processing operations on the real-time data through a predetermined data processor to obtain the target data includes: When the target sensor includes the magnetic field monitoring sensor, real-time magnetic field data of the bolt is collected by the magnetic field monitoring sensor, wherein the real-time magnetic field data includes magnetic field data of the target axis corresponding to the bolt; Performing a data calculation and processing operation on the real-time magnetic field data through a predetermined data processor according to a predetermined magnetic field ratio calculation parameter to obtain first data, wherein the target data at least includes the first data; The method of performing data calculation and processing operations on the real-time magnetic field data according to the predetermined magnetic field ratio calculation parameters and obtaining target data through a predetermined data processor includes: Based on the real-time data, determining first target axis data corresponding to the bolt and second target axis data corresponding to the bolt; According to a predetermined magnetic field ratio calculation parameter, performing a data calculation processing operation on the first target axis data and the second target axis data to obtain the target axis data of the bolt; By means of a predetermined data processor, a data comparison operation is performed based on the target axis data and the predetermined target reference data to obtain a data comparison result, and target data is determined based on the data comparison result; The target axis data includes the target axis magnetic field change data corresponding to the first target axis data and the second target axis data; wherein the first target axis data includes the X-axis magnetic field data corresponding to the bolt, and the second target axis data includes the Y-axis magnetic field data corresponding to the bolt; The method of performing a data comparison operation based on the target axis data and the predetermined target reference data by a predetermined data processor to obtain a data comparison result, and determining the target data based on the data comparison result, includes: By means of a predetermined data processor, based on the target shaft data, an angle change value corresponding to the bolt is determined, a data comparison operation is performed on the angle change value and the predetermined target reference data to obtain a data comparison result, and based on the data comparison result, a target data relationship matching the data comparison result is determined in a predetermined data matching relationship, and target data is determined based on the target data relationship and the data comparison result; Before determining the state monitoring result corresponding to the bolt according to the state monitoring parameter and the predetermined bolt state monitoring model, the method further includes: Obtaining bolt data of the bolt within a preset target time period, and determining whether there is bolt jump data in all the bolt data, to obtain a jump determination result, wherein the bolt jump data includes data corresponding to a data change amount of the bolt data within the preset target time period that is greater than or equal to a preset data change threshold; Wherein, determining the state monitoring result corresponding to the bolt according to the state monitoring parameter and a predetermined bolt state monitoring model includes: According to the state monitoring parameter and the jump judgment result, combined with a predetermined bolt state monitoring model, the state monitoring result corresponding to the bolt is determined.

2. The bolt status monitoring method according to claim 1, characterized in that: The method further comprises: collecting real-time data of the bolts through the target sensor, and performing data processing operations on the real-time data through a predetermined data processor to obtain target data, and further comprising: When the target sensor includes the angle monitoring sensor, real-time data of the bolt is collected through the angle monitoring sensor, wherein the real-time data includes real-time angle data of the bolt; Parameters are calculated according to a predetermined rotation ratio and a data processing operation is performed on the real-time data through a predetermined data processor to obtain second data, wherein the target data at least includes the second data.

3. The bolt status monitoring method according to claim 2, characterized in that: The step of calculating the parameters according to the predetermined rotation ratio and performing data processing operations on the real-time data through a predetermined data processor to obtain target data includes: Determine, by a predetermined data processor, a target calculation ratio corresponding to the real-time data according to a predetermined rotation ratio calculation parameter and the real-time data, and perform a data processing operation on the real-time data based on the real-time data and the target calculation ratio to obtain target ratio data; Determine a data ratio relationship between the target ratio data and the real-time data, and judge whether the data ratio relationship satisfies a preset data processing condition; When it is determined that the data ratio relationship satisfies the preset data processing condition, generating target data based on the target ratio data; When it is determined that the data ratio relationship does not satisfy the preset data processing conditions, a ratio adjustment parameter corresponding to the target ratio data is generated based on the data ratio relationship and the preset data processing conditions, an adjustment operation is performed on the target ratio data based on the ratio adjustment parameter, and the adjusted target ratio data is used to generate target data.

4. The bolt status monitoring method according to claim 1, characterized in that: Determining the state monitoring result corresponding to the bolt according to the state monitoring parameter and the jump judgment result in combination with a predetermined bolt state monitoring model includes: Based on the jump judgment result and a predetermined bolt state monitoring model, a first model output result is generated, and it is judged whether the first model output result is used to indicate that the bolt has the bolt jump data; When it is determined that the output result of the first model is used to indicate that the bolt has the bolt jump data, determining that the state monitoring result corresponding to the bolt includes a bolt fracture monitoring result; When it is determined that the first model output result is used to indicate that the bolt jump data does not exist for the bolt, a second model output result is generated based on the state monitoring parameters and the predetermined bolt state monitoring model, and the rotation state parameters of the bolt are determined based on the second model output result, and the state monitoring result corresponding to the bolt is determined based on the rotation state parameters.

5. The bolt status monitoring method according to claim 1, characterized in that: After determining the state monitoring result corresponding to the bolt according to the state monitoring parameter and the predetermined bolt state monitoring model, the method further includes: According to the state monitoring result corresponding to the bolt, judging whether the state monitoring result of the bolt meets the preset bolt operation condition; When it is determined that the state monitoring result of the bolt does not meet the preset bolt operation condition, analyzing the target factor of the state monitoring result of the bolt not meeting the preset bolt operation condition, wherein the target factor includes an internal influencing factor and / or an external influencing factor; Based on all the target factors, a bolt to be processed is determined from all the bolts, and the real-time information of the bolt to be processed is obtained. Based on the real-time information of the bolt and all the target factors, a processing parameter of the bolt is generated, and a bolt processing operation matching the processing parameter is performed on the bolt to update the state monitoring result corresponding to the bolt, and re-trigger the execution of the step of judging whether the state monitoring result of the bolt meets the preset bolt operating condition according to the state monitoring result corresponding to the bolt.

6. The bolt status monitoring method according to claim 5, characterized in that: The step of judging whether the state monitoring result of the bolt meets a preset bolt operation condition according to the state monitoring result corresponding to the bolt includes: Determine, according to the state monitoring result corresponding to the bolt, the abnormal quantity information of the bolt and the abnormal degree information of the bolt, and generate the target abnormal value of the bolt based on the abnormal quantity information of the bolt and the abnormal degree information; Determine whether the target abnormal value is greater than or equal to a preset target abnormal threshold; When it is determined that the target abnormal value is greater than or equal to the preset target abnormal threshold, it is determined that the state monitoring result of the bolt does not meet the preset bolt operation condition; when it is determined that the target abnormal value is less than the preset target abnormal threshold, it is determined that the state monitoring result of the bolt meets the preset bolt operation condition; And, determining the bolts to be processed from all the bolts based on all the target factors includes: Determine the factor weight value corresponding to each of the target factors, and screen out key factors whose factor weight values ​​are greater than or equal to a preset weight threshold based on the factor weight values ​​corresponding to all the target factors; For each of the key factors, determine the matching relationship between the key factor and each of the bolts, and determine the matching degree between the key factor and each of the bolts based on the matching relationship between the key factor and each of the bolts, determine the highest matching degree from the matching degrees between the key factor and each of the bolts, and determine the bolt corresponding to the highest matching degree as the target processing bolt corresponding to the key factor; Based on the target processing bolts corresponding to all the key factors, the bolts to be processed are determined.

7. A bolt status monitoring device, characterized in that: The device comprises: A processing module, used for collecting real-time data of the bolt through a target sensor, and performing a data processing operation on the real-time data through a predetermined data processor to obtain target data; wherein the target sensor includes an angle monitoring sensor and / or a magnetic field monitoring sensor; A first determination module, used to determine a state monitoring parameter corresponding to the bolt based on the target data; A second determination module is used to determine the state monitoring result corresponding to the bolt according to the state monitoring parameter and a predetermined bolt state monitoring model; When the target sensor includes the magnetic field monitoring sensor, the processing module collects real-time data of the bolt through the target sensor, and performs data processing operations on the real-time data through a predetermined data processor, and the specific method of obtaining the target data includes: Collecting real-time magnetic field data of the bolt through the magnetic field monitoring sensor, wherein the real-time magnetic field data includes magnetic field data of the target axis corresponding to the bolt; Performing a data calculation and processing operation on the real-time magnetic field data through a predetermined data processor according to a predetermined magnetic field ratio calculation parameter to obtain first data, wherein the target data at least includes the first data; The processing module performs data calculation and processing operations on the real-time magnetic field data according to the predetermined magnetic field ratio calculation parameters and through a predetermined data processor to obtain the target data in a specific manner including: Based on the real-time data, determining first target axis data corresponding to the bolt and second target axis data corresponding to the bolt; According to a predetermined magnetic field ratio calculation parameter, performing a data calculation processing operation on the first target axis data and the second target axis data to obtain the target axis data of the bolt; By means of a predetermined data processor, a data comparison operation is performed based on the target axis data and the predetermined target reference data to obtain a data comparison result, and target data is determined based on the data comparison result; The target axis data includes the target axis magnetic field change data corresponding to the first target axis data and the second target axis data; wherein the first target axis data includes the X-axis magnetic field data corresponding to the bolt, and the second target axis data includes the Y-axis magnetic field data corresponding to the bolt; The processing module performs a data comparison operation based on the target axis data and the predetermined target reference data through a predetermined data processor to obtain a data comparison result, and a specific method for determining the target data based on the data comparison result includes: By means of a predetermined data processor, based on the target shaft data, an angle change value corresponding to the bolt is determined, a data comparison operation is performed on the angle change value and the predetermined target reference data to obtain a data comparison result, and based on the data comparison result, a target data relationship matching the data comparison result is determined in a predetermined data matching relationship, and target data is determined based on the target data relationship and the data comparison result; an acquisition module, configured to acquire bolt data of the bolt within a preset target time period before the second determination module determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and a predetermined bolt state monitoring model; A first judgment module is used to judge whether there is bolt jump data in all the bolt data, and obtain a jump judgment result, wherein the bolt jump data includes data corresponding to the bolt data of the bolt within the preset target time period, the data change amount of which is greater than or equal to the data corresponding to the preset data change threshold; The specific manner in which the second determination module determines the state monitoring result corresponding to the bolt according to the state monitoring parameter and the predetermined bolt state monitoring model includes: According to the state monitoring parameter and the jump judgment result, combined with a predetermined bolt state monitoring model, the state monitoring result corresponding to the bolt is determined.

8. A bolt status monitoring device, 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 bolt status monitoring method according to any one of claims 1 to 6.

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