A drilling rig top drive state monitoring method and system based on visualization technology

Abstract

This invention relates to a method and system for monitoring the status of a drilling rig top drive based on visualization technology. The method includes the following steps: S1: Constructing a three-dimensional model of the top drive and semantically partitioning the model according to the physical components or functional systems of the top drive; S2: Establishing a partition status mapping table based on the semantic partitions; S3: Real-time acquisition of the operating data of the top drive equipment and triggering abnormal signals according to preset abnormal judgment rules; S4: Querying the partition status mapping table to determine the corresponding semantic partition and its preset visual scheme based on the data acquisition point or sensor channel corresponding to the acquired real-time data or the triggered abnormal signal, and performing status visualization rendering on the semantic partition; S5: Responding to the user's interaction with the three-dimensional model, displaying the real-time parameters corresponding to the selected semantic partition, and driving the corresponding components in the three-dimensional model to perform dynamic visual feedback based on the real-time data. This invention can intuitively monitor the status of the drilling rig top drive.

Description

Technical Field

[0001] This specification relates to the field of drilling rig top drive technology, and in particular to a method and system for monitoring the condition of drilling rig top drives based on visualization technology. Background Technology

[0002] In the heavy industrial sector related to oil and gas drilling, the top drive unit, as a core power equipment, is crucial for ensuring production safety, preventing malfunctions, and improving operational efficiency through real-time and accurate monitoring of its operating status.

[0003] Currently, the data presentation methods of commonly used top drive equipment data monitoring systems mainly rely on two-dimensional text lists, digital dashboards, and trend charts. These traditional display methods have the following significant technical defects and limitations: Information is isolated and lacks spatial correlation: Various parameters collected by the system (such as speed, torque, temperature, etc.) are displayed side by side in discrete numerical or graphical form, which is disconnected from the complex physical structure and three-dimensional spatial position of the top drive equipment. When a parameter becomes abnormal, maintenance personnel find it difficult to quickly and accurately associate the abnormal data with specific physical components on the equipment that may be malfunctioning (such as a part of the spindle motor or gearbox), resulting in a slow and error-prone fault location process.

[0004] Weak interactivity and unintuitive situational awareness: Existing systems are mostly "one-way displays," lacking in-depth interactive methods that conform to the spatial logic of the equipment. Anomaly alarms are usually displayed in red text or pop-up windows, failing to provide intuitive and three-dimensional visual feedback on the equipment's 3D form. This makes it impossible to grasp the overall "health status" of the equipment at a glance, severely impacting the intuitiveness and effectiveness of monitoring.

[0005] To address these issues, existing technologies have begun exploring the introduction of 3D visualization techniques, such as constructing 3D static models of top-drive equipment or enabling 3D scene walkthroughs. However, these solutions often focus on the appearance and macroscopic viewing of the equipment, providing an immersive observation perspective rather than being specifically designed for the core tasks of equipment condition monitoring and fault diagnosis. They fail to solve the problem of deep integration between data and 3D models at the component level, and lack a technical system to automatically convert abnormal data into accurate and standardized 3D visual instructions. Therefore, existing 3D solutions have not fundamentally resolved the core technical pain point of the separation between "data" and "entity" in traditional monitoring systems. Summary of the Invention

[0006] This specification provides a method and system for monitoring the condition of the drilling rig top drive based on visualization technology, which solves the problem in the prior art where drilling rig condition data is separated from the physical entity, making it difficult to locate faulty components.

[0007] The following technical solution is adopted in this specification: A method for monitoring the condition of a drilling rig top drive based on visualization technology, characterized by the following steps: S1: Construct a three-dimensional model of the top drive, and semantically partition the three-dimensional model according to the physical components or functional systems of the top drive; S2: Based on the semantic partitioning, establish a partition status mapping table; S3: Real-time acquisition of operating data of the top drive equipment, and triggering of abnormal signals according to preset abnormal judgment rules; S4: Based on the data acquisition point or sensor channel corresponding to the collected real-time data or triggered abnormal signal, query the partition status mapping table to determine the corresponding semantic partition and its preset visual scheme, and perform status visualization rendering on the semantic partition. S5: Responding to user interaction with the 3D model, it displays the real-time parameters corresponding to the selected semantic partition and drives the corresponding parts in the 3D model to perform dynamic visual feedback based on real-time data.

[0008] Based on the above technical means, this method uses semantic partitioning to map the three-dimensional model to physical components one by one, establishes a partition status mapping table to deeply bind real-time data to model components, and performs status visualization rendering on the semantic partitions. This enables maintenance personnel to intuitively and quickly locate abnormal components in three-dimensional space, thereby effectively solving the problems of the separation between drilling rig status data and physical entities and the difficulty in locating faulty components in the existing technology, significantly shortening the average fault location time, and ultimately enabling intuitive monitoring of the status of the drilling rig top drive.

[0009] Furthermore, the partition status mapping table is used to associate each semantic partition with a unique identifier, at least one corresponding data acquisition point or sensor channel, the normal state parameter range of the partition, and the preset visual scheme of the partition in abnormal states.

[0010] Furthermore, the semantic partitioning in S1 includes: balancing system, braking system, power system, hydraulic system, fan, rotating head, lifting ring, internal blowout preventer, and back clamp.

[0011] Based on the aforementioned technical means, the semantic partitioning in S1 covers the core functional systems and key mechanical components of the top drive unit, ensuring the comprehensiveness and specificity of monitoring, and any abnormality in any component can be independently identified.

[0012] Furthermore, the state visualization rendering in S4 specifically involves: rendering the top drive 3D model transparently, and when an anomaly occurs, rendering the corresponding semantic partition red and highlighting or rendering it non-transparent.

[0013] Based on the above technical means, transparent rendering of the top drive 3D model makes the internal structure of the top drive 3D model clearly visible. When an anomaly occurs, the corresponding semantic partition can be rendered in red and highlighted or rendered in a non-transparent manner, which can quickly attract the attention of operation and maintenance personnel and achieve rapid discovery and intuitive display of fault points.

[0014] Furthermore, the dynamic visual feedback in step S5 includes: an animation of the rotating head's rotation status driven by real-time data, and / or an animation used to represent the tilt angle of the hanging ring.

[0015] Based on the aforementioned technical means, animation-driven operation enables static models to have real-time dynamic response capabilities, allowing maintenance personnel to intuitively judge the operating status of equipment (such as whether the rotating head is rotating or whether the lifting ring is tilted) without having to look at the numbers, thus improving the naturalness and intuitiveness of monitoring.

[0016] Furthermore, it also includes the following steps: S6: Analyze the health status of the top drive equipment based on historical operating data, generate maintenance reminders or suggestions, and mark them in the corresponding area of ​​the three-dimensional model.

[0017] Based on the above technical means, the present invention integrates preventive maintenance functions into a three-dimensional visualization environment. By analyzing the trends of historical data, it can predict potential faults in advance and provide maintenance prompts in the corresponding areas of the model, thus realizing an upgrade from passive to proactive.

[0018] Furthermore, it also includes a drilling rig top drive condition monitoring system based on visualization technology. The above-mentioned drilling rig top drive condition monitoring method based on visualization technology includes: The partition management module is used to load and store the semantically partitioned 3D model and the partition status mapping table; The data acquisition and diagnostic module is used to collect the operating data of the top drive equipment in real time, perform status judgment and generate abnormal trigger signals; The visualization rendering engine module is communicatively connected to the partition management module, the data acquisition and diagnosis module, the interaction processing module, and the health management module, respectively. It is used to receive real-time data and abnormal signals, query the partition status mapping table to determine the corresponding semantic partition and its preset visual scheme, and perform status visualization rendering and dynamic visual feedback. The interaction processing module is communicatively connected to the visualization rendering engine module and is used to capture user interaction events and trigger the parameter display and visual feedback of the corresponding semantic partitions. The health management module is communicatively connected to the data acquisition and diagnosis module and the visualization rendering engine, and is used to perform health status analysis, maintenance reminder generation and area identification steps.

[0019] Based on the aforementioned technical means, the modular design of the system makes the responsibilities of each function clear, which facilitates development, maintenance and upgrades. Moreover, each module forms an organic whole through a clear communication connection, realizing closed-loop monitoring of the entire process from data acquisition, anomaly identification, 3D visual mapping, user interaction to preventive maintenance.

[0020] Furthermore, the health management module also includes a health assessment unit, which is used to comprehensively calculate the health index of the device by combining data collected by sensors with device status data, and trigger inspection reminders or maintenance suggestions accordingly.

[0021] Based on the above technical means, the health assessment unit uses multi-source data (vibration, temperature, current, etc.) to make a mixed judgment by combining sensor data and equipment status data, and comprehensively calculates the health index of the equipment, making the health status of the equipment visible and providing a scientific basis for maintenance decisions.

[0022] Furthermore, the health assessment unit is also used to detect the online or fault status of each component of the equipment. If any component is in an abnormal state, the overall status of the corresponding equipment component is marked as abnormal.

[0023] Based on the aforementioned technical means, the health assessment unit is also used to detect the online or fault status of each component of the equipment, monitor the communication status of each sensor and component in real time, ensure that the system can promptly detect hardware faults such as disconnection and no response, and mark them on the 3D model to avoid misjudgment due to missing data.

[0024] The above-mentioned technical solutions adopted in this specification can achieve the following beneficial effects: In this method, semantic partitioning is used to map the 3D model to physical components one by one. A partition status mapping table is established to deeply bind real-time data to model components. The semantic partitions are then visualized and rendered, enabling maintenance personnel to intuitively and quickly locate abnormal components in 3D space. This effectively solves the problems of the separation between drilling rig status data and physical entities and the difficulty in locating faulty components in the existing technology, and significantly shortens the average fault location time. Attached Figure Description

[0025] The accompanying drawings, which are included to provide a further understanding of this specification and form part of this specification, illustrate exemplary embodiments and are used to explain this specification, but do not constitute an undue limitation thereof. In the drawings: Figure 1 This is a flowchart illustrating the process of this embodiment. Figure 2 This is a schematic diagram of the structure of Example 2.

[0026] Figure label: The accompanying drawings are for illustrative purposes only and should not be construed as limiting the scope of this patent. To better illustrate this embodiment, some components in the drawings may be omitted, enlarged, or reduced, and do not represent the actual dimensions of the product. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings. The same or similar reference numerals correspond to the same or similar components. The terms describing positional relationships in the drawings are for illustrative purposes only and should not be construed as limiting the scope of this patent. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this specification clearer, the technical solutions of this specification will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this specification, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments in this specification without creative effort are within the scope of protection of this application.

[0028] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention.

[0029] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0030] In the embodiments of this application, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, features defined with "first" and "second" may explicitly or implicitly include one or more of the stated features.

[0031] In the embodiments of this application, unless otherwise explicitly specified and limited, the term "connection" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral part; it can be a direct connection or an indirect connection through an intermediate medium.

[0032] In the embodiments of this application, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0033] The technical solutions provided in the various embodiments of this specification are described in detail below with reference to the accompanying drawings.

[0034] Example 1 like Figure 1 As shown in the figure, this embodiment proposes a method for monitoring the condition of the drilling rig top drive based on visualization technology, including the following steps: S1: Construct a three-dimensional model of the top drive, and semantically partition the three-dimensional model according to the physical components or functional systems of the top drive.

[0035] Specifically, firstly, a high-precision three-dimensional geometric model is constructed using 3D modeling software (such as SolidWorks, 3ds Max, etc.) based on the actual size, structure, and appearance of the top drive equipment. Then, semantic partitioning technology is used to define each of the above components or functional systems as an independent and operable object within the model, and assign it a unique identifier and name.

[0036] In this preferred embodiment, the top drive three-dimensional model includes at least the main mechanical components of the top drive, such as the balancing system, braking system, power system (main motor), hydraulic system, fan, rotating head, lifting ring, internal blowout preventer, and back clamp.

[0037] The purpose of semantic partitioning is to enable each part of a 3D model to be accessed and controlled programmatically, laying the foundation for subsequent data binding and visual rendering.

[0038] The 3D model files can be stored in a common 3D format and support quick adaptation to different models of top drive equipment through model replacement operations.

[0039] like Figure 1 As shown, in this embodiment, S2: Establish a partition status mapping table based on the semantic partition.

[0040] Specifically, after semantic partitioning is completed, the system establishes a partition status mapping table.

[0041] In this embodiment, the partition status mapping table is a data structure (which can be a database table, an XML file, or a JSON object). Its core function is to establish the mapping relationship between "semantic partitions", "data collection points", and "visual schemes".

[0042] In this embodiment, the partition status mapping table includes the following fields: a unique partition identifier (e.g., "Zone_PowerSystem"), the corresponding data acquisition point address (e.g., torque sensor channel, motor temperature channel), the normal parameter range of the partition (e.g., torque 0-10000 N·m, temperature 0-85℃), and a preset visual scheme for abnormal states (e.g., red flashing, yellow constant warning). The partition status mapping table is stored in the system database and can be initialized or dynamically modified by the user according to the actual device configuration.

[0043] like Figure 1 As shown, in this embodiment, S3: Real-time acquisition of the operating data of the top drive device, and triggering an abnormal signal according to the preset abnormal judgment rules.

[0044] In this embodiment, the system communicates with the PLC of the top drive device via industrial communication protocols (such as Modbus TCP, OPC UA, etc.). The system reads real-time values ​​from all configured data acquisition points at a set sampling period, including but not limited to: rotary head speed, main motor torque, hydraulic system pressure, fan operating frequency, temperature of various components, vibration amplitude, etc. Simultaneously, the system has a built-in anomaly detection rule engine. The rule engine predefines a series of thresholds and logical conditions, such as: triggering a "high temperature warning" when the motor temperature exceeds a first threshold; triggering an "overload alarm" when the instantaneous torque value exceeds a set percentage of the rated torque. Once the real-time data meets any rule, the system generates a corresponding anomaly signal, which includes information such as the anomaly type, occurrence time, and corresponding data acquisition point.

[0045] like Figure 1 As shown, in this embodiment, S4: Based on the data acquisition point or sensor channel corresponding to the collected real-time data or the triggered abnormal signal, query the partition status mapping table to determine the corresponding semantic partition and its preset visual scheme, and perform status visualization rendering on the semantic partition.

[0046] When new data is collected or an abnormal signal is triggered in step S3, the system first obtains the address of the data collection point associated with the data or signal. Then, it queries the partition status mapping table using this address as the key to find the associated semantic partition. Next, the system reads the preset visual scheme for this partition in the mapping table: for example, a severe abnormal state corresponds to "red + high-frequency flashing", a warning state corresponds to "yellow + low-frequency flashing", and when the data returns to normal, it reverts to the default "semi-transparent" or "green". Finally, the visualization rendering engine module modifies the material color, transparency, and self-illumination intensity of the corresponding partition in the 3D model in real time according to the above scheme to achieve a visually striking prompt. At the same time, for the normal state, the system can uniformly render the entire model transparently, making the internal structure clearly visible. Figure 2 As shown, real-time data drives the color changes and flashing rendering of each partition of the 3D model through a mapping table.

[0047] like Figure 1 As shown, in this embodiment, S5: In response to the user's interaction with the 3D model, the real-time parameters corresponding to the selected semantic partition are displayed, and the corresponding components in the 3D model are driven to perform dynamic visual feedback based on the real-time data.

[0048] In this preferred embodiment, a 3D interactive interface is provided, allowing users to interact with the model through mouse clicks, drags, and zooming. When a user clicks on any semantically labeled partition, the interaction processing module captures the click event, identifies the unique identifier of the clicked partition, and then retrieves all real-time parameters associated with that partition from the data acquisition module. These parameters are then displayed in the sidebar of the interface as dashboards, numbers, or graphs. Simultaneously, the system drives model animation based on real-time data: for example, the actual rotational speed of the rotating head partition is mapped to the angular velocity of the rotation animation, causing the rotating head model in the 3D model to rotate around its axis at the corresponding speed; the actual tilt angle of the lifting ring partition is mapped to the rotation angle of the lifting ring model. This dynamic visual feedback allows users to intuitively perceive the operating status of the equipment without needing to view numerical data.

[0049] like Figure 1 As shown, in this embodiment, S6: Based on historical operating data, perform health status analysis on the top drive equipment, generate maintenance reminders or suggestions, and mark them in the corresponding area of ​​the three-dimensional model.

[0050] This embodiment also includes optional health management steps. The system periodically exports historical operating data to the data analysis module. The analysis module uses trend analysis algorithms (such as linear regression and moving average) to predict key parameters (such as vibration amplitude and temperature rise rate). When the predicted value may exceed the warning line in the future, the system generates a "recommended check" reminder; at the same time, the system records the time since the last maintenance of the equipment. If the maintenance cycle recommended by the manufacturer is exceeded, a "maintenance overdue" warning is generated. These reminders are displayed by the health management module by overlaying an icon or color-changing circle on the corresponding partition of the 3D model and displaying a notification at the top of the interface. Users can click on the partition to view a detailed maintenance recommendation report.

[0051] In this embodiment, semantic partitioning is used to map the 3D model to physical components one by one. A partition status mapping table is established to deeply bind real-time data to model components. The semantic partitions are then rendered with status visualization, enabling maintenance personnel to intuitively and quickly locate abnormal components in 3D space. This effectively solves the problems of the separation between drilling rig status data and physical entities and the difficulty in locating faulty components in the prior art, and significantly shortens the average fault location time.

[0052] Example 2 This embodiment is similar to Embodiment 1, and the same parts are described in Embodiment 1. The following description only focuses on the improved parts.

[0053] like Figure 2 As shown, this embodiment provides a drilling rig top drive condition monitoring system based on visualization technology. The drilling rig top drive condition monitoring method based on visualization technology described above includes: The partition management module is used to load and store the semantically partitioned 3D model and the partition status mapping table; The data acquisition and diagnostic module is used to collect the operating data of the top drive equipment in real time, perform status judgment and generate abnormal trigger signals; The visualization rendering engine module is communicatively connected to the partition management module, the data acquisition and diagnosis module, the interaction processing module, and the health management module, respectively. It is used to receive real-time data and abnormal signals, query the partition status mapping table to determine the corresponding semantic partition and its preset visual scheme, and perform status visualization rendering and dynamic visual feedback. The interaction processing module is communicatively connected to the visualization rendering engine module and is used to capture user interaction events and trigger the parameter display and visual feedback of the corresponding semantic partitions. The health management module is communicatively connected to the data acquisition and diagnosis module and the visualization rendering engine module, and is used to perform health status analysis, maintenance reminder generation and area identification steps.

[0054] The modular design of the system makes the responsibilities of each function clear, which facilitates development, maintenance and upgrades. Moreover, the modules form an organic whole through clear communication connections, realizing closed-loop monitoring of the entire process from data acquisition, anomaly identification, 3D visual mapping, user interaction to preventive maintenance.

[0055] In this embodiment, the health management module further includes a health assessment unit, which is used to comprehensively calculate the equipment's health index by combining sensor-collected data and equipment status data, and trigger inspection reminders or maintenance suggestions accordingly. The health assessment unit utilizes multi-source data (vibration, temperature, current, etc.) to comprehensively calculate the equipment's health index by combining sensor-collected data and equipment status data, making the equipment's health status visible and providing a scientific basis for maintenance decisions.

[0056] In this embodiment, the health assessment unit is also used to detect the online or fault status of each component of the equipment. If any component is abnormal, the overall status of the corresponding equipment component is marked as abnormal. The health assessment unit is also used to detect the online or fault status of each component of the equipment, monitor the communication status of each sensor and component in real time, ensure that the system can promptly detect hardware faults such as disconnection and no response, and mark them on the 3D model to avoid misjudgment due to missing data.

[0057] The above embodiments are merely preferred embodiments provided to fully illustrate the present invention, and the scope of protection of the present invention is not limited thereto. Equivalent substitutions or modifications made by those skilled in the art based on the present invention are all within the scope of protection of the present invention.

Claims

1. A method for monitoring the condition of a drilling rig top drive based on visualization technology, characterized in that, Includes the following steps: S1: Construct a three-dimensional model of the top drive, and semantically partition the three-dimensional model according to the physical components or functional systems of the top drive; S2: Based on the semantic partitioning, establish a partition status mapping table; S3: Real-time acquisition of operating data of the top drive equipment, and triggering of abnormal signals according to preset abnormal judgment rules; S4: Based on the data acquisition point or sensor channel corresponding to the collected real-time data or triggered abnormal signal, query the partition status mapping table to determine the corresponding semantic partition and its preset visual scheme, and perform status visualization rendering on the semantic partition. S5: Responding to user interaction with the 3D model, it displays the real-time parameters corresponding to the selected semantic partition and drives the corresponding parts in the 3D model to perform dynamic visual feedback based on real-time data.

2. The drilling rig top drive condition monitoring method based on visualization technology according to claim 1, characterized in that, The partition status mapping table is used to associate each semantic partition with a unique identifier, at least one corresponding data acquisition point or sensor channel, the normal state parameter range of the partition, and the preset visual scheme of the partition in abnormal states.

3. A method for monitoring the condition of a drilling rig top drive based on visualization technology according to claim 1 or 2, characterized in that, The semantic partitioning in S1 includes at least a plurality of the following: balancing system, braking system, power system, hydraulic system, fan, rotating head, lifting ring, internal blowout preventer, and back clamp.

4. The drilling rig top drive condition monitoring method based on visualization technology according to claim 1, characterized in that, The state visualization rendering in S4 specifically involves rendering the top drive 3D model transparently, and when an anomaly occurs, rendering the corresponding semantic partition in red and highlighting or rendering it non-transparent.

5. The drilling rig top drive condition monitoring method based on visualization technology according to claim 1, characterized in that, The dynamic visual feedback in S5 includes: a rotating head rotation status animation driven by real-time data, and / or an animation used to represent the tilt angle of the hanging ring.

6. The drilling rig top drive condition monitoring method based on visualization technology according to claim 1, characterized in that, It also includes the following steps: S6: Analyze the health status of the top drive equipment based on historical operating data, generate maintenance reminders or suggestions, and mark them in the corresponding areas of the 3D model.

7. A drilling rig top drive condition monitoring system based on visualization technology, employing the drilling rig top drive condition monitoring method based on visualization technology as described in any one of claims 1 to 6, characterized in that, include: The partition management module is used to load and store the semantically partitioned 3D model and the partition status mapping table; The data acquisition and diagnostic module is used to collect the operating data of the top drive equipment in real time, perform status judgment and generate abnormal trigger signals; The visualization rendering engine module is communicatively connected to the partition management module, the data acquisition and diagnosis module, the interaction processing module, and the health management module, respectively. It is used to receive real-time data and abnormal signals, query the partition status mapping table to determine the corresponding semantic partition and its preset visual scheme, and perform status visualization rendering and dynamic visual feedback. The interaction processing module is communicatively connected to the visualization rendering engine module and is used to capture user interaction events and trigger the parameter display and visual feedback of the corresponding semantic partitions. The health management module is communicatively connected to the data acquisition and diagnosis module and the visualization rendering engine module, and is used to perform health status analysis, maintenance reminder generation and area identification steps.

8. The drilling rig top drive condition monitoring system based on visualization technology according to claim 7, characterized in that, The health management module also includes a health assessment unit, which is used to make a comprehensive judgment by combining data collected by sensors with equipment status data, calculate the health index of the equipment, and trigger inspection reminders or maintenance suggestions accordingly.

9. A drilling rig top drive condition monitoring system based on visualization technology according to claim 8, characterized in that, The health assessment unit is also used to detect the online or fault status of each component of the equipment. If any component is in an abnormal state, the overall status of the corresponding equipment component is marked as abnormal.

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