Fault diagnosis method, device and equipment for top drive tilting device and storage medium

Abstract

The invention discloses a fault diagnosis method and device for a top drive tilting device, equipment and a storage medium. The method comprises the following steps: acquiring operation parameters in real time; the operation parameters are operation parameters of the top drive tilting device in the actual operation process; inputting the operation parameters into a pre-configured intelligent decision-making model, and determining a target fault event; the intelligent decision model is obtained by training based on historical operation parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters comprise a first failure parameter obtained through dynamic simulation and a second failure parameter obtained through finite element simulation. According to the fault diagnosis method for the top drive tilting device, the fault can be recognized and solved in time, so that operation of the top drive tilting device is guaranteed, and the drilling efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of fault diagnosis, and in particular to a fault diagnosis method, device, equipment and storage medium for a top drive tilting device. Background Art

[0002] The top drive drilling system is a major innovation in oil drilling equipment and an outstanding achievement in the current development of drilling equipment automation. It can effectively replace the traditional rotary drilling system. The top drive tilting device is mainly composed of a rotating head assembly, a boom tilter, a synchronous plate, a boom, and an elevator. It is a key component of the top drive drilling system and is mainly used to adjust and control the drill pipe angle to improve drilling efficiency and meet special drilling needs.

[0003] However, the drilling rig will be subjected to complex coupled vibration during the drilling process, and strong vibration will affect the stability of the top drive tilting device, thereby reducing the drilling efficiency.

[0004] Therefore, there is an urgent need for a fault diagnosis method for the top drive tilting device to identify and solve the fault in a timely manner, so as to ensure the operation of the top drive tilting device and improve the drilling efficiency. Summary of the invention

[0005] Based on the above problems, the present application provides a fault diagnosis method, device, equipment and storage medium for a top drive tilting device, the purpose of which is to identify and solve faults in a timely manner to ensure the operation of the top drive tilting device and improve drilling efficiency.

[0006] This application discloses the following technical solutions:

[0007] In a first aspect, the present application provides a fault diagnosis method for a top drive tilting device, comprising:

[0008] Acquire operating parameters in real time; the operating parameters are the operating parameters of the top drive tilting device during actual operation;

[0009] The operating parameters are input into a preconfigured intelligent decision-making model to determine the target fault event; the intelligent decision-making model is trained based on historical operating parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters include a first failure parameter obtained through dynamic simulation and a second failure parameter obtained through finite element simulation.

[0010] By acquiring the operating parameters in real time, the continuous tracking and accurate analysis of the operating status of the top drive tilting device can be ensured, providing reliable data support for fault diagnosis. The operating parameters are then input into the pre-configured intelligent decision-making model to determine the target fault event. Among them, the intelligent decision-making model is trained based on historical operating parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters include the first failure parameter obtained through dynamic simulation and the second failure parameter obtained through finite element simulation, which realizes the intelligent identification of fault events, can accurately predict and identify potential safety threats, so as to take preventive measures in advance and purposefully deal with various safety threats.

[0011] Optionally, in the method described above, the method for obtaining the simulation parameters includes:

[0012] By performing a qualitative analysis on the top drive tilting device, an initial fault event is obtained; the initial fault event is a fault event determined by performing a qualitative analysis on multiple fault types; the initial fault event includes a first fault event and a second fault event;

[0013] Performing dynamic simulation on the first simulation parameter corresponding to the obtained first fault event to determine the first failure parameter corresponding to the device failure;

[0014] Finite element simulation is performed on the second simulation parameters corresponding to the second fault event obtained to determine the second failure parameters corresponding to the device failure, thereby effectively reflecting the characteristics of different failure modes, providing an important reference for equipment maintenance and fault diagnosis, and improving the accuracy of fault diagnosis.

[0015] Optionally, the method described above, by performing a qualitative analysis on the top drive tilting device to obtain the initial fault event, includes:

[0016] The fault tree analysis method is used to analyze the acquired multiple fault types to determine the fault probabilities corresponding to the multiple fault events; the fault event contains at least one fault type;

[0017] Use the expert thinking simulation method to simulate various fault types respectively and determine the simulated fault results corresponding to each of the various fault types;

[0018] According to the failure probability and simulated failure results, the initial failure event is determined to improve the reliability of failure analysis.

[0019] Optionally, the method described above uses a fault tree analysis method to analyze the acquired multiple fault types to determine the fault probabilities corresponding to the multiple fault events, including:

[0020] Construct device fault tree based on multiple fault types;

[0021] The device fault tree is solved by the descending method to obtain the minimum cut set; the minimum cut set is used to characterize the fault event of the top drive tilt device failure;

[0022] The minimum cut set is qualitatively analyzed to determine the failure probability of the failure event, thus improving the accuracy of the failure analysis.

[0023] Optionally, in the method described above, the operating parameters are input into a preconfigured intelligent decision model to determine a target fault event, including:

[0024] Input the operating parameters into the intelligent decision-making model for data preprocessing to obtain the preprocessed operating parameters;

[0025] The preprocessed operating parameters are stored in a storage area; the storage area stores historical operating parameters for model optimization of the intelligent decision-making model;

[0026] Through the fault judgment process in the intelligent decision-making model, the target fault events corresponding to the operating parameters are determined, thereby improving the response speed and stability.

[0027] Optionally, in the method described above, performing finite element simulation on the obtained second simulation parameter corresponding to the second fault event to determine the second failure parameter corresponding to the device failure includes:

[0028] In response to the input of the second simulation parameter corresponding to the second fault event, the top drive tilting device is flexibly processed through finite element simulation to determine the second failure parameter corresponding to the device failure, which can more accurately simulate and analyze the impact of the fault event on the top drive tilting device, thereby improving the accuracy of the determined failure parameter.

[0029] Optionally, in the above method, after determining the target fault event, the method further includes:

[0030] According to the target fault event, the parameter adjustment strategy corresponding to the target fault event is determined, so that the top drive tilting device can correct the operating parameters according to the adjustment parameters in the adjustment strategy, and the generation and execution mechanism of the adaptive response strategy is realized, so that the tilting device can flexibly adjust the operating parameters according to the real-time situation, thereby improving the risk resistance and operation stability of the tilting device.

[0031] In a second aspect, the present application provides a fault diagnosis device for a top drive tilting device, comprising:

[0032] An acquisition module is used to acquire operating parameters in real time; the operating parameters are operating parameters of the top drive tilting device during actual operation;

[0033] A processing module is used to input operating parameters into a preconfigured intelligent decision-making model to determine a target fault event; the intelligent decision-making model is trained based on historical operating parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters include a first failure parameter obtained through dynamic simulation and a second failure parameter obtained through finite element simulation.

[0034] In a third aspect, the present application provides an electronic device, the device comprising: a processor, and a memory communicatively connected to the processor;

[0035] Memory stores computer-executable instructions;

[0036] The processor executes the computer-executable instructions stored in the memory to implement the fault diagnosis method of the top drive tilting device described in any one of the above embodiments.

[0037] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed by a processor, they are used to implement the fault diagnosis method of the top drive tilting device described in any of the above embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0039] Figure 1 A schematic flow chart of an embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application;

[0040] Figure 2A A schematic flow chart of another embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application;

[0041] Figure 2B A schematic diagram of a dynamic simulation provided in an embodiment of the present application;

[0042] Figure 2C A schematic diagram of a finite element simulation provided in an embodiment of the present application;

[0043] Figure 3 A schematic flow chart of another embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application;

[0044] Figure 4 A schematic flow chart of another embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application;

[0045] Figure 5 A schematic flow chart of another embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application;

[0046] Figure 6 A schematic structural diagram of an embodiment of a fault diagnosis device for a top drive tilting device provided in the present application;

[0047] Figure 7 A schematic structural diagram of another embodiment of a fault diagnosis device for a top drive tilting device provided by the present application;

[0048] Figure 8 A schematic diagram of the structure of an embodiment of an electronic device provided in the present application. DETAILED DESCRIPTION

[0049] As described above, the current top drive drilling system is a major innovation in oil drilling equipment and an outstanding achievement in the current development of drilling equipment automation. It can effectively replace the traditional rotary drilling system. The top drive tilting device is mainly composed of a rotating head assembly, a boom tilter, a synchronous plate, a boom, and an elevator. The top drive tilting device is mainly used to adjust and control the drill pipe angle to improve drilling efficiency and meet special drilling needs. During the drilling process, the drilling machine will be subjected to complex coupled vibrations, and the vibration affects the top drive tilting device and the stability of downhole drilling.

[0050] After research, the inventors proposed a fault diagnosis method, device, equipment and storage medium for a top drive tilting device to solve the technical problem in the prior art that the top drive tilting device has low operating stability, thereby reducing drilling efficiency.

[0051] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0052] See also Figure 1 , which is a schematic flow chart of an embodiment of a method for diagnosing a fault of a top drive tilting device provided in an embodiment of the present application. Figure 1 As shown, the method includes:

[0053] S101: Acquire operating parameters in real time.

[0054] The operating parameters are operating parameters of the top drive tilting device during actual operation.

[0055] In this embodiment, by deploying sensors and monitoring equipment at key nodes of the top drive tilting device, the operating parameters of the top drive tilting device are collected in real time. The operating parameters include but are not limited to key parameters such as drive angular velocity, hydraulic oil temperature, and hydraulic pressure. All operating parameters are transmitted to the intelligent decision model in real time through a secure communication network, and redundant data that may increase the computing cost is processed, and then sent to the storage unit for storage.

[0056] S102: Inputting the operating parameters into a pre-configured intelligent decision model to determine a target fault event.

[0057] Among them, the intelligent decision-making model is trained based on historical operating parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters include a first failure parameter obtained through dynamic simulation and a second failure parameter obtained through finite element simulation.

[0058] In this embodiment, the intelligent decision-making model is a top drive fault intelligent decision-making model constructed using a deep reinforcement learning algorithm, which is used to identify and evaluate the possible safety threats to the top drive tilting device through stored data and determine target fault events.

[0059] The model is trained by using historical operation data and simulation parameters obtained through fault simulation analysis. Specifically, the initial fault event is obtained by qualitative analysis of the top drive tilt device; kinematic simulation or finite element simulation is used to simulate the fault event for different initial fault events, so as to obtain the corresponding operating parameters when the device fails.

[0060] In this embodiment, by acquiring the operating parameters in real time, the continuous tracking and accurate analysis of the operating status of the top drive tilting device can be ensured, providing reliable data support for fault diagnosis. The operating parameters are then input into the preconfigured intelligent decision-making model to determine the target fault event. Among them, the intelligent decision-making model is trained based on historical operating parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters include the first failure parameter obtained through dynamic simulation and the second failure parameter obtained through finite element simulation, which realizes the intelligent identification of fault events, can accurately predict and identify potential safety threats, so as to take preventive measures in advance and purposefully deal with various safety threats.

[0061] See also Figure 2A , which is a schematic flow chart of another embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application. Figure 2A As shown, the method for obtaining simulation parameters includes:

[0062] S201: Obtain an initial fault event by performing a qualitative analysis on the top drive tilting device.

[0063] The initial fault event is a fault event determined by performing qualitative analysis on multiple fault types; the initial fault event includes a first fault event and a second fault event.

[0064] In this embodiment, a top drive tilt device failure fault tree is established according to the fault tree building method, and the minimum cut set of the top drive tilt device fault tree is solved by the descending method, and various types of faults that may cause top drive failures are analyzed to determine the probability of occurrence of top drive failure events. At the same time, combined with the expert thinking simulation method, a knowledge base is established based on the effective experience and professional knowledge accumulated in the field of top drive tilt device fault maintenance, and the expert thinking process is simulated by computer to reason and make decisions on the fault to obtain the top drive fault diagnosis result, thereby determining the initial fault event.

[0065] For example, the initial fault event may include a synchronization failure of the synchronization device, an imbalance in the driving speed of the drive device, and a crack in the connecting rod of the boom device. Among them, the failure of the synchronization device and the drive device belongs to the hydraulic tilter failure; the crack in the connecting rod belongs to the boom device failure. It may also include the asynchronous movement of the boom, the instability of the elevator and the root movement caused by the control system failure; the imbalance of the swing speed and the deviation of the tilt angle caused by sensor damage or control system failure, the crack in the connecting rod caused by fatigue damage of the boom, and the reduction of the service life of the components due to stress concentration.

[0066] S202: Performing dynamic simulation on the first simulation parameter corresponding to the obtained first fault event to determine the first failure parameter corresponding to the device failure.

[0067] In this embodiment, Automatic Dynamic Analysis of Mechanical Systems (ADAMS) is used to perform basic kinematic simulation tests on the first fault event to verify whether the top drive tilt device simulation can move according to a predetermined trajectory. At the same time, the simulated motion characteristics and mechanical characteristics, such as stress, strain, speed, angular velocity and other elements, are recorded to determine the first failure parameter corresponding to the device failure.

[0068] Specifically, the user converts the motion change description of the first fault event obtained in S201 into the initial physical quantity condition change as the initial operation condition of ADAMS to perform dynamic simulation. For example, during the dynamic simulation process of ADAMS, the overall motion process of the top drive tilting device can be described as the accelerated circular motion of the boom around the upper lifting ring.

[0069] See also Figure 2B, which is a schematic diagram of the dynamic simulation provided by the embodiment of the present application. Figure 2B As shown, for the top drive tilt device speed imbalance fault, by reading the boom motion law obtained by simulation, the boom motion state is analyzed during the unstable period of the startup phase, and the boom is operated under high, medium and low drive angular velocities respectively, and different drive angular velocities directly affect the dynamic response characteristics of the boom. For example, a high drive angular velocity (such as 10 deg / sec) will bring stronger mechanical vibration and greater stress load; while a low drive angular velocity (such as 3 deg / sec) will take a long time and be inefficient.

[0070] For the swing instability fault of the top drive tilting device, this fault is mainly manifested as abnormal swing and instability of the top drive tilting device during operation. In order to accurately simulate the occurrence of swing instability simulation, the driving speed of the two booms is set and the speed difference is set. Specifically, compared with the normal working condition, the dynamic response of the top drive tilting device is that as the angular velocity increases, the two booms gradually produce a speed difference, and the force magnitude gradually deviates. The uneven swing speed caused by the uneven force eventually leads to the swing between the connecting rods and the unstable movement of the root, which is manifested as the inability to accurately adjust the angle, uncontrollable swing, and disordered vibration frequency.

[0071] Among them, ADAMS is a software for simulation analysis of the kinematics and dynamics of mechanical systems. It is mostly used to simulate complex dynamic systems such as mechanical systems, vehicles, aerospace vehicles, etc., and can simulate the motion, mechanical properties and dynamic behavior of each component in a complex system. It also provides analysis of various physical field quantities and is a large-scale general-purpose finite element analysis software that can integrate structure, thermal fluid, electromagnetics, and acoustics. ADAMS includes an intuitive visual interface and rich post-processing tools. ANSYS studies the response of the structure under load (such as the time history of strain, stress, acceleration, etc.) to determine the bearing capacity and dynamic characteristics of the structure. The simulation software establishes a simulation model through the actual model of the top drive tilting device, and inputs basic parameters for simulation based on actual conditions. After the simulation is completed, the simulation results can be dynamically displayed and analyzed, as well as the system's motion characteristics and performance, and the parameter data obtained from the simulation can be further analyzed.

[0072] S203: Perform finite element simulation on the obtained second simulation parameters corresponding to the second fault event to determine the second failure parameters corresponding to the device failure.

[0073] In this embodiment, the ANSYS finite element analysis software is used to flexibly process the parts to simulate the top drive tilt device failure. The user converts the motion change description of the second fault event obtained in S201 into the initial physical quantity condition change as the initial operation condition of ANSYS to perform finite element simulation, thereby determining the second failure parameter corresponding to the device failure.

[0074] Specifically, see Figure 2C , which is a schematic diagram of finite element simulation provided by the embodiment of the present application. Figure 2C As shown in the figure, for the connecting rod crack failure, due to the long working cycle and high load of the upper drive tilting device in the top drive tilting device, the upper lifting ring of the boom, as the contact point of the entire connecting rod speed change mechanism, is very easy to fatigue and produce stress concentration due to wear, which eventually leads to the rupture of the connecting rod. Therefore, in order to simulate the crack failure caused by fatigue and wear in actual work, crack grooves are set to reflect the deterioration of the lifting ring under long-term high-load operation, simulating the stress concentration phenomenon and crack propagation process in actual work.

[0075] During the model establishment stage, a thin groove with a depth of 4.5mm, a width of 5mm, and a length of 39mm was added to the stress concentration part of the lifting ring to simulate the setting of a crack fault, and the establishment of a three-dimensional model containing a coupled fault was completed. The faulty boom was then meshed using ANSYS for subsequent stress analysis. By setting the same external load conditions as the initial fault event of the top drive tilting device, the crack fault connecting rod was simulated. The stress concentration effect caused by the crack fault increased significantly, especially at the gap of the lifting ring. The load distribution was uneven, and the local stress was significantly higher than other areas, resulting in irreversible plastic deformation of the boom connecting rod. Fault simulation shows that the presence of cracks increases the vibration and displacement of the boom, resulting in a deterioration in the dynamic characteristics of the overall system.

[0076] In this embodiment, by performing qualitative analysis on the top drive tilting device, the initial fault event is obtained, and a detailed analysis of various situations that may lead to device performance degradation or failure is achieved; then, a dynamic simulation is performed on the first simulation parameter corresponding to the first fault event obtained, and the first failure parameter corresponding to the device failure is determined; at the same time, a finite element simulation is performed on the second simulation parameter corresponding to the second fault event obtained, and the second failure parameter corresponding to the device failure is determined. The influence of different fault conditions on the dynamic characteristics of the top drive tilting device is verified through dynamic and finite element simulations, thereby effectively reflecting the characteristics of different fault modes, providing an important reference for equipment maintenance and fault diagnosis, and improving the accuracy of fault diagnosis.

[0077] Further, based on the above embodiment, a specific implementation of "performing finite element simulation on the second simulation parameter corresponding to the obtained second fault event to determine the second failure parameter corresponding to the device failure" in S203 includes:

[0078] In response to the input of the second simulation parameter corresponding to the second fault event, the top drive tilting device is flexibly processed through finite element simulation to determine the second failure parameter corresponding to the device failure.

[0079] In this embodiment, in response to the input of the second simulation parameter corresponding to the second fault event, the ANSYS finite element simulation software performs flexible processing on the parts in the top drive tilting device. Through the simulation process, the second failure parameter that causes the failure of the top drive tilting device is determined. The flexible processing includes but is not limited to the setting of material properties, meshing, and the application of boundary conditions.

[0080] In this embodiment, in response to the input of the second simulation parameter corresponding to the second fault event, the top drive tilting device is flexibly processed through finite element simulation to determine the second failure parameter corresponding to the device failure, which can more accurately simulate and analyze the impact of the fault event on the top drive tilting device, thereby improving the accuracy of the determined failure parameters.

[0081] See also Figure 3 , which is a flow chart of another embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application. Based on the above embodiment, a specific implementation of "obtaining an initial fault event by performing a qualitative analysis on the top drive tilting device" in S201 includes:

[0082] S2011: Analyze the acquired multiple fault types using a fault tree analysis method to determine the fault probabilities corresponding to the multiple fault events.

[0083] The fault event includes at least one fault type.

[0084] In this embodiment, a fault tree analysis method (FTA) is used to perform reliability analysis on the top drive tilting device. By analyzing various factors that may cause device failure (including hardware, software, environment, human factors, etc.), a failure fault tree of the top drive tilting device is established, thereby determining various possible combinations of device failure events and their probability of occurrence.

[0085] S2012: Use the expert thinking simulation method to simulate various fault types respectively, and determine the simulated fault results corresponding to the various fault types.

[0086] In this embodiment, the expert thinking simulation method is used to establish a knowledge base based on the effective experience and professional knowledge accumulated in the field of top drive tilt device fault maintenance, and the computer is used to simulate the expert thinking process to reason and make decisions on the fault to obtain the simulated top drive fault diagnosis result.

[0087] S2013: Determine an initial failure event based on the failure probability and the simulated failure result.

[0088] In this embodiment, for example, based on the failure probability and the simulated failure results, it is determined that the most common failures are caused by the degradation of the top drive tilting device itself, operational operation and manufacturing reasons, so that it is determined that the initial failure events may include the synchronization failure of the synchronization device, the driving speed imbalance of the driving device and the crack failure of the connecting rod part of the boom device.

[0089] In this embodiment, the fault tree analysis can systematically analyze the faults of the top drive, clearly describe the cause and effect and redundant relationship of each fault, and is suitable for the maintenance and management of the top drive tilting device; the expert thinking simulation method is fast and accurate in diagnosis, and the results are easy to understand. Therefore, the use of fault tree analysis and expert thinking simulation methods to analyze the tilting device fault improves the reliability of fault analysis.

[0090] Further, based on the above embodiment, a specific implementation of "using a fault tree analysis method to analyze the acquired multiple fault types to determine the fault probabilities corresponding to the multiple fault events" in S2011 includes:

[0091] Construct a device fault tree based on multiple fault types.

[0092] The device fault tree is solved by the descending method to obtain the minimum cut set, which is used to characterize the fault event of the top drive tilting device failure.

[0093] Qualitative analysis is performed on the minimum cut set to determine the failure probability of the failure event.

[0094] In this embodiment, the main fault event (top event) of the top drive tilting device is defined as the top drive tilting device failure. Combining the classification of common faults of rotating machinery and common on-site faults of the top drive tilting device, the downward method is adopted starting from the top event, and each intermediate event is gradually analyzed, such as machine failure, electrical failure, and control system failure, until all basic events are found. Then, the minimum basic event combination that can cause the top event is found through logical operations to obtain the minimum cut set. A cut set can represent a possibility of system failure or a failure mode.

[0095] In this embodiment, a device fault tree is constructed based on multiple fault types, which can identify and list various types of faults that may occur in the device, thereby ensuring the comprehensiveness of the analysis; the device fault tree is then solved using the descending method to obtain the minimum cut set as a necessary condition for device failure, thereby improving the accuracy of the fault analysis; and then a qualitative analysis is performed on the minimum cut set to determine the failure probability of the fault event, thereby improving the accuracy of the fault analysis.

[0096] See also Figure 4 , which is a flow chart of another embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application. Based on the above embodiment, a specific implementation method of "inputting operating parameters into a pre-configured intelligent decision model to determine a target fault event" in S102 includes:

[0097] S1021: Input the operating parameters into the intelligent decision-making model for data preprocessing to obtain preprocessed operating parameters.

[0098] In this embodiment, by monitoring log files and network traffic, the operating parameters input into the intelligent decision-making model are preprocessed to remove redundant data that increases the computing cost. To ensure data quality, preprocessing can also include outlier monitoring and data missing processing.

[0099] S1022: Store the preprocessed operating parameters in the storage area.

[0100] Among them, the storage area stores historical operating parameters for model optimization of the intelligent decision-making model.

[0101] In this embodiment, the preprocessed operating parameters are stored in the storage area for subsequent optimization of the intelligent decision-making model. Specifically, the intelligent decision-making model can review and update the model according to the actual operating parameters and security event information. This continuously optimizes the model and improves the model performance, improves its prediction and response capabilities, and improves the accuracy of prediction of future threats and the effectiveness of response strategies.

[0102] S1023: Determine the target fault event corresponding to the operating parameter through the fault judgment process in the intelligent decision-making model.

[0103] In this embodiment, according to the fault judgment of the preprocessed operating parameters in the intelligent decision-making model, the target fault event corresponding to the operating parameter is determined to achieve early prediction or precise positioning of the fault event.

[0104] In this embodiment, the operating parameters are input into the intelligent decision-making model for data preprocessing to obtain the preprocessed operating parameters; and the preprocessed operating parameters are stored in the storage area for model optimization of the intelligent decision-making model. Finally, through the fault judgment process in the intelligent decision-making model, the target fault event corresponding to the operating parameter is determined, ensuring the continuous tracking and accurate analysis of the operating status of the tilting device, accurately predicting and identifying potential safety threats, so as to take preventive measures in advance and effectively avoid the occurrence of major fault events.

[0105] Furthermore, on the basis of the above-mentioned embodiments, the first failure parameter obtained through dynamic simulation can also utilize external communication to directly communicate data with the intelligent decision-making model, so as to determine the target fault event corresponding to the operating parameter through the fault judgment process in the intelligent decision-making model, thereby improving the response speed and stability.

[0106] See also Figure 5 , which is a flow chart of another embodiment of a fault diagnosis method for a top drive tilting device provided in an embodiment of the present application. Based on the above embodiment, after determining the target fault event in S102, the method may further include:

[0107] S103: Determine a parameter adjustment strategy corresponding to the target fault event according to the target fault event, so that the top drive tilting device performs parameter correction on the operating parameters according to the adjustment parameters in the adjustment strategy.

[0108] In this embodiment, based on the determined target fault event, a corresponding parameter adjustment strategy is automatically generated through an intelligent decision model, wherein the parameter adjustment strategy includes but is not limited to adjusting the drive angular velocity, redistributing the hydraulic pressure, isolating the damaged area, etc.

[0109] In this embodiment, according to the target fault event, the parameter adjustment strategy corresponding to the target fault event is determined, so that the top drive tilting device corrects the operating parameters according to the adjustment parameters in the adjustment strategy, and realizes the generation and execution mechanism of the adaptive response strategy, so that the tilting device can flexibly adjust the operating parameters according to the real-time situation, thereby improving the risk resistance and operation stability of the tilting device.

[0110] See also Figure 6 , which is a schematic structural diagram of an embodiment of a fault diagnosis device for a top drive tilting device provided by the present application. The device 60 includes an acquisition module 61 and a processing module 62 .

[0111] The acquisition module 61 is used to acquire the operating parameters in real time; the operating parameters are the operating parameters of the top drive tilting device during the actual operation.

[0112] The processing module 62 is used to input the operating parameters into a preconfigured intelligent decision-making model to determine the target fault event; the intelligent decision-making model is trained based on historical operating parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters include a first failure parameter obtained through dynamic simulation and a second failure parameter obtained through finite element simulation.

[0113] A fault diagnosis device for a top drive tilting device provided in an embodiment of the present application can execute the technical solution shown in the above method embodiment, and its implementation principle and beneficial effects are similar, which will not be repeated here.

[0114] Further, see Figure 7 , which is a structural schematic diagram of another embodiment of a fault diagnosis device for a top drive tilting device provided by the present application. Figure 7 As shown, based on the above embodiment, the device 60 may further include a qualitative analysis module 63 , a dynamic simulation module 64 and a finite element simulation module 65 .

[0115] The qualitative analysis module 63 is used to obtain an initial fault event by performing a qualitative analysis on the top drive tilting device; the initial fault event is a fault event determined by performing a qualitative analysis on multiple fault types; the initial fault event includes a first fault event and a second fault event.

[0116] The dynamics simulation module 64 is used to perform dynamics simulation on the first simulation parameter corresponding to the obtained first fault event, and determine the first failure parameter corresponding to the device failure.

[0117] The finite element simulation module 65 is used to perform finite element simulation on the second simulation parameters corresponding to the obtained second fault event, and determine the second failure parameters corresponding to the device failure.

[0118] A fault diagnosis device for a top drive tilting device provided in an embodiment of the present application can execute the technical solution shown in the above method embodiment, and its implementation principle and beneficial effects are similar, which will not be repeated here.

[0119] Further, based on the above embodiments, the qualitative analysis module 63 is specifically used to analyze the obtained multiple fault types using a fault tree analysis method to determine the fault probabilities corresponding to the multiple fault events; the fault event contains at least one fault type; the expert thinking simulation method is used to simulate the multiple fault types respectively to determine the simulated fault results corresponding to the multiple fault types; and the initial fault event is determined based on the fault probability and the simulated fault results.

[0120] A fault diagnosis device for a top drive tilting device provided in an embodiment of the present application can execute the technical solution shown in the above method embodiment, and its implementation principle and beneficial effects are similar, which will not be repeated here.

[0121] Further, based on the above embodiment, the qualitative analysis module 63 is specifically used to construct a device fault tree according to multiple fault types; the device fault tree is solved by the descending method to obtain a minimum cut set; the minimum cut set is used to characterize the fault event of the top drive tilt device; the minimum cut set is qualitatively analyzed to determine the fault probability of the fault event.

[0122] A fault diagnosis device for a top drive tilting device provided in an embodiment of the present application can execute the technical solution shown in the above method embodiment, and its implementation principle and beneficial effects are similar, which will not be repeated here.

[0123] Further, based on the above embodiment, the processing module 62 is specifically used to input the operating parameters into the intelligent decision-making model for data preprocessing to obtain the preprocessed operating parameters; store the preprocessed operating parameters in the storage area; store historical operating parameters in the storage area for model optimization of the intelligent decision-making model; and determine the target fault event corresponding to the operating parameters through the fault judgment process in the intelligent decision-making model.

[0124] A fault diagnosis device for a top drive tilting device provided in an embodiment of the present application can execute the technical solution shown in the above method embodiment, and its implementation principle and beneficial effects are similar, which will not be repeated here.

[0125] Further, based on the above embodiment, the finite element simulation module 65 is specifically used to respond to the input of the second simulation parameter corresponding to the second fault event, perform flexible processing on the top drive tilting device through finite element simulation, and determine the second failure parameter corresponding to the device failure.

[0126] A fault diagnosis device for a top drive tilting device provided in an embodiment of the present application can execute the technical solution shown in the above method embodiment, and its implementation principle and beneficial effects are similar, which will not be repeated here.

[0127] Further, based on the above embodiment, Figure 7 As shown, the device 60 may further include an intelligent decision-making module 66 .

[0128] The intelligent decision module 66 is used to determine a parameter adjustment strategy corresponding to the target fault event according to the target fault event, so that the top drive tilting device can perform parameter correction on the operating parameters according to the adjustment parameters in the adjustment strategy.

[0129] A fault diagnosis device for a top drive tilting device provided in an embodiment of the present application can execute the technical solution shown in the above method embodiment, and its implementation principle and beneficial effects are similar, which will not be repeated here.

[0130] See also Figure 8 , which is a schematic diagram of the structure of an embodiment of an electronic device provided by the present application. The electronic device 80 may include: a processor 81 and a memory 82.

[0131] The processor 81 is in communication connection with the memory 82 , and the memory 82 is used to store computer-executable instructions; the processor 81 is configured to execute the technical solution in any of the aforementioned method embodiments by executing the computer-executable instructions stored in the memory 82 .

[0132] Optionally, the memory 82 may be independent or integrated with the processor 81. Optionally, when the memory 82 is a device independent of the processor 81, the electronic device 80 may further include: a bus for connecting the above devices.

[0133] The electronic device is used to execute the technical solution in any of the aforementioned method embodiments, and its implementation principle and technical effect are similar and will not be repeated here.

[0134] An embodiment of the present application also provides a computer-readable storage medium, which stores computer execution instructions. When the computer execution instructions are executed by a processor, they are used to implement the method described above. The implementation principles and technical effects are similar and will not be repeated here.

[0135] It should be noted that each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is merely schematic, in which the unit described as a separate component may or may not be physically separated, and the component prompted as a unit may or may not be a physical unit, that is, it may be located in one place, or it may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative work.

[0136] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A fault diagnosis method for a top drive tilting device, characterized in that: include: Acquiring operating parameters in real time; the operating parameters are operating parameters of the top drive tilting device during actual operation; Inputting the operating parameters into a preconfigured intelligent decision model to determine a target fault event; The intelligent decision model is trained based on historical operating parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters include a first failure parameter obtained through dynamic simulation and a second failure parameter obtained through finite element simulation.

2. The method according to claim 1, characterized in that The method for obtaining the simulation parameters includes: By performing a qualitative analysis on the top drive tilting device, an initial fault event is obtained; the initial fault event is a fault event determined by performing a qualitative analysis on multiple fault types; the initial fault event includes a first fault event and a second fault event; Performing dynamic simulation on the first simulation parameter corresponding to the first fault event to determine a first failure parameter corresponding to device failure; Finite element simulation is performed on the obtained second simulation parameters corresponding to the second fault event to determine the second failure parameters corresponding to the device failure.

3. The method according to claim 2, characterized in that The method of obtaining an initial fault event by performing a qualitative analysis on the top drive tilting device includes: Analyzing the acquired multiple fault types by using a fault tree analysis method to determine the fault probabilities corresponding to the multiple fault events; the fault events contain at least one of the fault types; Using an expert thinking simulation method to simulate the multiple fault types respectively, and determine the simulated fault results corresponding to the multiple fault types respectively; The initial fault event is determined according to the fault probability and the simulated fault result.

4. The method according to claim 3, characterized in that: The method of analyzing the acquired multiple fault types by using a fault tree analysis method to determine the fault probabilities corresponding to the multiple fault events respectively includes: constructing a device fault tree according to the multiple fault types; The device fault tree is solved by using a descending method to obtain a minimum cut set; the minimum cut set is used to characterize a fault event in which the top drive tilting device fails; A qualitative analysis is performed on the minimum cut set to determine the failure probability of the failure event.

5. The method according to claim 1, characterized in that The step of inputting the operating parameters into a preconfigured intelligent decision model to determine a target fault event includes: Inputting the operating parameters into the intelligent decision-making model for data preprocessing to obtain preprocessed operating parameters; The preprocessed operating parameters are stored in a storage area; the storage area stores historical operating parameters for optimizing the intelligent decision-making model; Through the fault judgment process in the intelligent decision-making model, the target fault event corresponding to the operating parameter is determined.

6. The method according to claim 2, characterized in that The performing finite element simulation on the obtained second simulation parameter corresponding to the second fault event to determine the second failure parameter corresponding to the device failure includes: In response to the input of the second simulation parameter corresponding to the second fault event, the top drive tilting device is flexibly processed through finite element simulation to determine the second failure parameter corresponding to the device failure.

7. The method according to claim 1, characterized in that After determining the target fault event, the method further includes: According to the target fault event, a parameter adjustment strategy corresponding to the target fault event is determined, so that the top drive tilting device performs parameter correction on the operating parameter according to the adjustment parameters in the adjustment strategy.

8. A fault diagnosis device for a top drive tilting device, characterized in that: include: An acquisition module, used for acquiring operating parameters in real time; the operating parameters are operating parameters of the top drive tilting device during actual operation; A processing module, used for inputting the operating parameters into a preconfigured intelligent decision model to determine a target fault event; The intelligent decision model is trained based on historical operating parameters and simulation parameters obtained through fault simulation analysis; the simulation parameters include a first failure parameter obtained through dynamic simulation and a second failure parameter obtained through finite element simulation.

9. An electronic device, characterized in that: The device comprises: a processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

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