Shallow water underwater Christmas tree installation operation simulation method and system based on virtual reality

Abstract

The invention relates to the field of underwater Christmas tree installation, and discloses a virtual reality-based shallow water underwater Christmas tree installation operation simulation method and system, and the system comprises a virtual model driving module, a detection and evaluation module, VR glasses, and a wrist strap. The virtual model driving module generates a shallow water underwater Christmas tree model and a seabed environment through three-dimensional modeling, texture compression, illumination and shadow rendering and physical engine parameter setting, and projects the shallow water underwater Christmas tree model and the seabed environment to VR glasses, so that a fine and highly realistic virtual Christmas tree installation operation scene is presented, interference pressure is applied to an operator in a sensory level, and the operation efficiency is improved. According to the invention, the VR glasses can adapt to an underwater working environment, the wrist strap is used for collecting operation actions, and the generation quality of images and sounds in the VR glasses in a virtual environment and the operation performance of the wrist strap are evaluated, so that the VR glasses can work within a reasonable threshold value. According to the invention, the training requirements of the underwater environment on psychological emotion can be met, and the high-quality simulation effect is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of underwater Christmas tree installation, and in particular to a method and system for simulating shallow water underwater Christmas tree installation operations based on virtual reality. Background Art

[0002] Shallow water underwater Christmas trees are installed on the seabed mud surface. The installation procedures are complicated. Many operators do not have underwater construction experience. The tension, fear and other emotions caused by lack of experience directly affect the installation quality. Traditional teaching training cannot eliminate the psychological discomfort caused by underwater operations. The existing diving simulation also mainly focuses on the feeling of underwater buoyancy experience, lacking psychological training for the underwater environment with low visibility and many changing sound and light factors.

[0003] Existing underwater simulations mainly simulate the perception of buoyancy, which cannot meet the psychological and emotional training needs of underwater environments. In addition, the virtual reality simulation performance quality lacks a detection mechanism and cannot guarantee high-quality simulation effects. Summary of the invention

[0004] In view of the above problems, an object of the present invention is to provide a method for simulating shallow water underwater Christmas tree installation operations based on virtual reality, introduce a performance evaluation method to determine whether the display screen, speaker and wristband are operating within the normal threshold range, and promptly detect the distortion of the simulation environment caused by other external factors such as operators, thereby improving the uniformity of training quality.

[0005] Another object of the present invention is to provide a shallow water underwater Christmas tree installation operation simulation system based on virtual reality, which uses virtual reality technology to present a highly simulated seabed environment, allowing operators to adapt to the psychological impact of the underwater working environment, and uses a wristband to realize the interaction between hand movements and the virtual environment to realize operation movement training. The purpose of the present invention is to generate an underwater environment with changeable sound and light and map the virtual model to VR glasses, to interfere and pressure the operator at the sensory level, to make him adapt to the underwater working environment, to collect operation movements through the wristband, and to evaluate the quality of image and sound generation of the virtual environment in the VR glasses and the operating performance of the wristband to ensure that it works within a reasonable threshold.

[0006] To achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a method for simulating shallow water underwater Christmas tree installation operation based on virtual reality, which comprises: a virtual model driving step, for generating a shallow water underwater Christmas tree model and a seabed environment and projecting them onto VR glasses and speakers; a detection and evaluation step, which comprises: a first detection data extraction step, for extracting detection data corresponding to the display screen detection of the VR glasses as first detection data, wherein the first detection data comprises refresh rate, brightness, contrast and viewing angle range change rate; a second detection data extraction step, for extracting detection data corresponding to speaker detection as second detection data, wherein the second detection data comprises signal-to-noise ratio, dynamic range and distortion; a first detection quality evaluation parameter acquisition step, for obtaining the first detection quality evaluation parameter by using the first detection data corresponding to the display screen detection a second detection quality evaluation parameter acquisition step, using the second detection data corresponding to the speaker detection to acquire the second detection quality evaluation parameter; a first comparison step, comparing the first detection quality evaluation parameter and the second detection quality evaluation parameter with their corresponding first evaluation parameter threshold and second evaluation parameter threshold respectively; a debugging warning step, when the first detection quality evaluation parameter is lower than the first evaluation parameter threshold, or the second detection quality evaluation parameter is lower than the second evaluation parameter threshold, it is determined that the device function is poor, and a device parameter debugging prompt is performed; an operation evaluation step, when the first detection quality evaluation parameter is not lower than the first evaluation parameter threshold, and the second detection quality evaluation parameter is not lower than the second evaluation parameter threshold, the tracking sensor of the wristband is detected and evaluated.

[0007] Further, the first detection quality evaluation parameter is:

[0008] Among them, Q 01 represents the first detection quality evaluation parameter; n represents the number of unit times experienced by the display screen detection, and the unit time is 1s; R i Represents the refresh rate corresponding to the i-th unit time; R y Indicates the minimum refresh rate required for the display to operate; V indicates the rate of change of the viewing angle range during the display detection process; V opt represents the change rate of the optimal viewing angle range required by the display; σ represents the preset viewing angle adjustment sensitivity parameter; B and C represent the brightness and contrast of the display, respectively; B y and C y Respectively represent the minimum brightness and contrast required for the display to operate; The second detection quality evaluation parameter is:

[0009] Among them, Q 02represents the second detection quality evaluation parameter; SNR represents the signal-to-noise ratio; Y max Indicates the maximum volume value allowed by the speaker; Y min Indicates the minimum volume value allowed for VR operation; D indicates the corresponding value of distortion; D y Indicates the maximum distortion allowed for normal operation of the speaker.

[0010] Furthermore, the detection and evaluation step also includes a third detection data extraction step: extracting detection data corresponding to the detection of the tracking sensor as third detection data; wherein the third detection data includes the response time of the tracking sensor and the number of times the position data is updated per second.

[0011] Furthermore, the method further includes a first operation evaluation parameter acquisition step, in which the first operation evaluation parameter is acquired using the response time of the tracking sensor; The first operation evaluation parameter is:

[0012] Among them, P 01 represents the first operation evaluation parameter; α represents the adjustment factor; m represents the tracking times of the tracking sensor; T i represents the response time of the tracking sensor for the i-th tracking; T y represents the preset maximum allowed response time; t represents the preset reference value of the response time fluctuation parameter; A second operation evaluation parameter acquisition step is to acquire a second operation evaluation parameter using the number of times the position data is updated per second, wherein the second operation evaluation parameter is:

[0013] Among them, P 02 represents the second operation evaluation parameter; k represents the number of unit times experienced by the tracking sensor; N i Indicates the number of times the position data is updated corresponding to the i-th unit time; N y Indicates the minimum number of times per second that the tracking sensor updates the position data to meet the tracking requirements; N max Indicates the maximum number of times per second the location data is updated generated by the tracking sensor detection; The third detection quality evaluation parameter acquisition step is to acquire the third detection quality evaluation parameter using the first operation evaluation parameter and the second operation evaluation parameter; wherein the third detection quality evaluation parameter is:

[0014] Among them, Q 03 represents the third detection quality evaluation parameter; P 01 Represents the first operation evaluation parameter; P02 represents the second operation evaluation parameter; a Indicates the weight value corresponding to the first operation evaluation parameter; b Indicates the weight value corresponding to the second operation evaluation parameter; The second comparison step compares the third detection quality evaluation parameter with its corresponding third evaluation parameter threshold, so as to determine that the tracking sensor is operating abnormally and issue an equipment abnormality alarm when the third detection quality evaluation parameter is lower than the third evaluation parameter threshold.

[0015] Furthermore, the step of selecting a training item for installation is included: the selected training scene is confirmed again on the VR glasses through a wristband; The training scenarios include Hotstab operation scenarios, mechanical valve switching scenarios, electro-hydraulic traverser activation and exit scenarios, throttle valve recovery scenarios, MQC installation and recovery scenarios, guide wire anchor installation and recovery scenarios, hydraulic valve force opening tool installation and recovery scenarios, Christmas tree cap installation and recovery scenarios and Christmas tree top cover installation scenarios.

[0016] Further, the virtual model driving steps include: After the scene is confirmed, the operation simulation display device imports the selected scene model into the VR all-in-one machine; The VR all-in-one machine presents the scene on the VR glasses according to the needs of the training scene; Among them, after receiving the scene model imported into the operation simulation display device, the VR all-in-one machine converts the scene model into a virtual model; After the virtual model conversion is completed, the complex areas and high polygon density areas in the virtual model are confirmed, and the confirmed areas are geometrically simplified; After the geometric structure is simplified, NVIDIA Texture Tools is used to compress the texture of the virtual model, and the virtual model after texture compression is rendered with baked lighting for lighting and shadows.

[0017] Further, the scene model is converted into a virtual model, including: After the virtual model is rendered with lighting and shadows, the physical engine parameters are adjusted, where the physical engine parameters include gravity, friction and elasticity; Perform VR interaction logic setting on the virtual model after adjusting the physical engine parameters, wherein the VR interaction logic is set to map the virtual model to the VR controller; The virtual model after the VR interaction logic is set is used to build the VR scene. After the VR scene is built, the scene is presented on the VR glasses; at the same time, the speakers are used to simulate the sound of water flow according to the scene requirements.

[0018] Furthermore, the wristband’s tracking sensor is tested and evaluated, including: After completing the scene training operation, the VR all-in-one machine will send the real-time recorded scene installation operation process to the operation simulation display device; The operation simulation display device divides the scene installation operation process into installation steps; Compare each split installation step with the standard Christmas tree installation rules; Determine the completeness of the split installation steps based on the comparison results; Finally, the completeness will be graded.

[0019] A system for realizing the above-mentioned virtual reality-based shallow water underwater Christmas tree installation operation simulation method, comprising an operation simulation display device and a VR all-in-one machine; the operation simulation display device and the VR all-in-one machine are wirelessly connected, and the operation simulation display device and the VR all-in-one machine have signal intercommunication; the VR all-in-one machine comprises VR glasses and a VR wristband; the operation simulation display device comprises a display and a host; the VR glasses comprise a display screen and a speaker.

[0020] A computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any of the above methods.

[0021] The present invention adopts the above technical solution, which has the following advantages: 1. The simulation system of the present invention includes a virtual model driving module, a detection and evaluation module, VR glasses and a wristband; the virtual model driving module generates a shallow underwater oil tree model and a seabed environment through three-dimensional modeling, texture compression, lighting and shadow rendering, and physical engine parameter settings, and projects it to the VR glasses, presenting a delicate and highly realistic virtual oil tree installation operation scene, and the operator wears a wristband to perform standard action training in a virtual environment. The detection and evaluation module first collects and calculates specific data on the display performance of the display screen of the VR glasses and the sound performance of the speaker and determines whether the working state is normal. If not, the physical engine is adjusted; if normal, the specific data of the wristband action performance is collected and calculated and the wristband operation is normal. If abnormal, an active alarm is issued, and the normal state of operation is ensured through detection and evaluation, and the hierarchical calculation effectively reduces the amount of calculation.

[0022] 2. The virtual reality-based shallow water underwater Christmas tree installation operation simulation method of the present invention allows trainees to practice repeatedly without the risk of actual hardware damage, improve their operating skills and proficiency, and thus be more confident and safe in actual operations. Diversified training scenarios help trainees to fully understand and master relevant knowledge and skills. Each training scenario includes detailed function introduction, tool recognition, operation training and other modules, making the training content more systematic and structured. Trainees can choose the corresponding module to study according to their own learning progress and needs, improving the pertinence and efficiency of learning.

[0023] 3. The virtual reality-based shallow water underwater Christmas tree installation simulation method of the present invention maps the virtual model to the VR controller, so that trainees can interact with the virtual environment through natural hand movements, which greatly enhances the interactivity and realism of the training. According to the scene requirements, the speaker is used to simulate the sound of water flow and other environmental sound effects, making the entire training scene more vivid and lifelike. The physical engine parameter adjustment includes the adjustment of physical parameters such as gravity, friction and elasticity, making the physical phenomena in the virtual environment closer to the real world.

[0024] 4. The virtual reality-based shallow water underwater Christmas tree installation simulation method of the present invention compares each split installation step with the standard Christmas tree installation rules, ensuring the accuracy and objectivity of the evaluation, judging the completeness of the split installation steps based on the comparison results, and grading them accordingly. This grading mechanism can intuitively reflect the trainees' operation level and mastery, and at the same time provide a basis for quantitative evaluation for training institutions or enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is an overall flow chart of a method for simulating shallow water underwater Christmas tree installation operations based on virtual reality in an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to solve the problem that the existing underwater simulation cannot meet the psychological and emotional training requirements of the underwater environment and cannot guarantee high-quality simulation effects, the present invention proposes a method and system for simulating shallow water underwater Christmas tree installation operations based on virtual reality. The simulation system includes a virtual model driving module, a detection and evaluation module, VR glasses and a wristband; the virtual model driving module generates a shallow water underwater Christmas tree model and a seabed environment through three-dimensional modeling, texture compression, lighting and shadow rendering, and physical engine parameter settings, and projects them onto the VR glasses, presenting a delicate and highly realistic virtual Christmas tree installation operation scene, exerting sensory interference and pressure on the operator to adapt to the underwater working environment, collecting operating actions through the wristband, and evaluating the generation quality of images and sounds of the virtual environment in the VR glasses and the operating performance of the wristband to ensure that it works within a reasonable threshold.

[0027] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0028] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0029] In one embodiment of the present invention, a method for simulating shallow water underwater Christmas tree installation operations based on virtual reality is provided. Figure 1 As shown, the method comprises the following steps: 1) Virtual model driving step, which is used to generate a shallow underwater Christmas tree model and seabed environment, and project it onto VR glasses and speakers; the implementation of this step mainly depends on the host chip and setting program; 2) Detection and evaluation step, which includes the following steps: 2.1) A first detection data extraction step, extracting detection data corresponding to the display screen detection as first detection data, wherein the first detection data includes refresh rate, brightness, contrast and viewing angle range change rate; 2.2) A second detection data extraction step, extracting detection data corresponding to the speaker detection as second detection data, wherein the second detection data includes a signal-to-noise ratio, a dynamic range, and a distortion; 2.3) A first detection quality evaluation parameter acquisition step, using the first detection data corresponding to the display screen detection to acquire the first detection quality evaluation parameter; Among them, the first detection quality evaluation parameter is:

[0030] Among them, Q 01 represents the first detection quality evaluation parameter; n represents the number of unit times experienced by the display screen detection, and the unit time is 1s; R i Represents the refresh rate corresponding to the i-th unit time; R y Indicates the minimum refresh rate required for the display to operate; V indicates the rate of change of the viewing angle range during the display detection process; V optrepresents the change rate of the optimal viewing angle range required by the display; σ represents the preset viewing angle adjustment sensitivity parameter; B and C represent the brightness and contrast of the display, respectively; B y and C y Respectively represent the minimum brightness and contrast required for the display to operate; 2.4) A second detection quality evaluation parameter acquisition step, using the second detection data corresponding to the speaker detection to acquire the second detection quality evaluation parameter; Among them, the second detection quality evaluation parameter is:

[0031] Among them, Q 02 represents the second detection quality evaluation parameter; SNR represents the signal-to-noise ratio; Y max Indicates the maximum volume value allowed by the speaker; Y min Indicates the minimum volume value allowed for VR operation; D indicates the corresponding value of distortion; D y Indicates the maximum distortion allowed for normal operation of the loudspeaker; 2.5) a first comparison step of comparing the first detection quality evaluation parameter and the second detection quality evaluation parameter with their corresponding first evaluation parameter threshold and second evaluation parameter threshold respectively; 2.6) Debugging warning step: when the first detection quality evaluation parameter is lower than the first evaluation parameter threshold, or the second detection quality evaluation parameter is lower than the second evaluation parameter threshold, it is determined that the device function is poor, and a device parameter debugging prompt is given; 2.7) Running the evaluation step, when the first detection quality evaluation parameter is not lower than the first evaluation parameter threshold, and the second detection quality evaluation parameter is not lower than the second evaluation parameter threshold, performing detection evaluation on the tracking sensor.

[0032] The technical effect that can be achieved by adopting the above-mentioned technical scheme of the present invention is: through the first detection data extraction step and the second detection data extraction step, the key detection data of the display screen and the speaker, such as refresh rate, brightness, contrast, viewing angle range change rate, signal-to-noise ratio, dynamic range and distortion, etc., can be accurately extracted. These data provide an accurate basis for subsequent quality evaluation. Utilizing the first detection quality evaluation parameter acquisition step and the second detection quality evaluation parameter acquisition step, the first detection quality evaluation parameter and the second detection quality evaluation parameter are calculated by a specific formula based on the extracted detection data. These parameters comprehensively reflect the performance quality of the display screen and the speaker, making the evaluation more comprehensive and objective.

[0033] Through the first comparison step, the calculated detection quality evaluation parameter is compared with the preset evaluation parameter threshold. When a parameter is lower than the threshold, the debugging warning step will immediately issue a warning, indicating that the device function is poor and parameter debugging is required. This helps to discover and solve problems in a timely manner to ensure the normal operation of the equipment. When the detection quality evaluation parameter is not lower than the corresponding evaluation parameter threshold, the operation evaluation step will further detect and evaluate the tracking sensor. This staged evaluation process improves the detection efficiency and ensures comprehensive coverage of various functions of the equipment. Through the above technical solution, problems with the equipment can be discovered and solved in a timely manner to ensure that the various performance indicators of the equipment meet or exceed the preset threshold. This helps to improve the user experience and reduce the inconvenience and losses caused by equipment failure or poor performance.

[0034] In summary, the above technical solutions effectively improve the detection efficiency and performance quality of the equipment through precise extraction, comprehensive evaluation, timely warning and efficient evaluation, providing users with a better user experience.

[0035] In the above embodiment, the detection and evaluation step also includes the following steps: 2.8) A third detection data extraction step, extracting detection data corresponding to the detection of the tracking sensor as third detection data, wherein the third detection data includes the response time of the tracking sensor and the number of times the position data is updated per second; 2.9) A first operation evaluation parameter acquisition step, using the response time of the tracking sensor to acquire the first operation evaluation parameter, wherein the first operation evaluation parameter is:

[0036] Among them, P 01 represents the first operation evaluation parameter; α represents the adjustment factor, and the value range of the adjustment factor is 0.8-1.2; m represents the tracking number of the tracking sensor; T i represents the response time of the tracking sensor for the i-th tracking; T y represents the preset maximum allowed response time; t represents the preset reference value of the response time fluctuation parameter; 2.10) A second operation evaluation parameter acquisition step is to acquire the second operation evaluation parameter using the number of times the position data is updated per second, wherein the second operation evaluation parameter is:

[0037] Among them, P 02 represents the second operation evaluation parameter; k represents the number of unit times experienced by the tracking sensor; N i Indicates the number of times the position data is updated corresponding to the i-th unit time; N yIndicates the minimum number of times per second that the tracking sensor updates the position data to meet the tracking requirements; N max Indicates the maximum number of times per second the location data is updated generated by the tracking sensor detection; 2.11) A third detection quality evaluation parameter acquisition step, using the first operation evaluation parameter and the second operation evaluation parameter to acquire the third detection quality evaluation parameter; wherein the third detection quality evaluation parameter is acquired by the following formula:

[0038] Among them, Q 03 represents the third detection quality evaluation parameter; P 01 Represents the first operation evaluation parameter; P 02 represents the second operation evaluation parameter; a Indicates the weight value corresponding to the first operation evaluation parameter; b Indicates the weight value corresponding to the second operation evaluation parameter; 2.12) A second comparison step of comparing the third detection quality evaluation parameter with its corresponding third evaluation parameter threshold; 2.13) Abnormal warning step: when the third detection quality evaluation parameter is lower than the third evaluation parameter threshold, it is determined that the tracking sensor is operating abnormally and an equipment abnormality alarm is issued.

[0039] The technical effect of the above technical solution of the present invention is: through the third detection data extraction step, the detection data corresponding to the tracking sensor detection can be accurately extracted, such as the response time and the number of times the position data is updated per second. These data are key indicators for evaluating the performance of the tracking sensor. Using the first operation evaluation parameter acquisition step and the second operation evaluation parameter acquisition step, the first operation evaluation parameter and the second operation evaluation parameter are calculated according to the extracted detection data through a specific formula. These two parameters respectively reflect the response speed of the tracking sensor and the frequency of updating the position data, thereby comprehensively evaluating the operation performance of the tracking sensor.

[0040] Through the third detection quality evaluation parameter acquisition step, the third detection quality evaluation parameter is calculated in combination with the first operation evaluation parameter and the second operation evaluation parameter, as well as their corresponding weight values. This parameter comprehensively reflects the overall performance quality of the tracking sensor, making the evaluation more accurate and comprehensive. Through the second comparison step, the calculated third detection quality evaluation parameter is compared with the preset third evaluation parameter threshold. When the parameter is lower than the threshold, the abnormal warning step will immediately issue a warning, indicating that the tracking sensor is operating abnormally and equipment inspection or maintenance is required. This helps to promptly discover and deal with potential problems and ensure the normal operation of the equipment. Through the above technical solution, the tracking sensor can be regularly or in real time detected and evaluated, and performance problems can be promptly discovered and resolved, thereby improving the reliability and stability of the equipment. This helps to reduce production interruptions or safety accidents caused by equipment failures and improve production efficiency and safety.

[0041] In summary, the above technical solutions effectively improve the detection efficiency and performance quality of tracking sensors through precise extraction, comprehensive evaluation, timely warning and improved reliability, ensuring the normal operation of the equipment and the user experience.

[0042] In the above embodiment, in actual operation, it also includes the installation project selection training step, specifically: Training scene installation steps: After the trainee wears VR glasses and VR wristbands, the trainee will confirm the selected training scene again on the VR glasses through the VR wristband; The training scenarios include Hotstab operation, mechanical valve switching, electro-hydraulic traverser activation and exit, throttle valve recovery, MQC installation and recovery, guide wire anchor installation and recovery, hydraulic valve force opening tool installation and recovery, Christmas tree cap installation and recovery, and Christmas tree top cover installation. Among them, the Hotstab operation scenarios include the introduction of the Hotstab jack function on the Christmas tree panel, Hotstab tool awareness training, Hotstab insertion operation training and Hotstab removal operation training; Mechanical valve switching scenarios include an introduction to the functions of mechanical valves on the Christmas tree panel, training on tools for opening and closing small-sized mechanical valves, training on locking operations of small-sized mechanical valves, training on opening operations of small-sized mechanical valves, training on tools for operating large-sized mechanical valves, training on locking operations of large-sized mechanical valves, and training on opening operations of large-sized mechanical valves. The scenarios of electro-hydraulic thru-device activation and deactivation include Class 4 tool recognition training, electro-hydraulic thru-device activation operation training, and electro-hydraulic thru-device deactivation state operation training; The throttle valve recovery scenarios include Class 4 tool recognition training, throttle valve unlocking operation training, liquid fly lead plug recognition training, unlocking liquid fly lead, electric fly lead plug recognition training, unlocking electric fly lead, locking electric fly lead, locking liquid fly lead and throttle valve locking operation training; MQC installation and recycling scenarios include MQC joint recognition training, MQC installation operation training and MQC recycling operation training; The installation and recovery scenarios of guidewire anchors include guidewire anchor installation training, guidewire anchor locking training, and guidewire anchor recovery training; The installation and recovery scenarios of hydraulic valve force-opening tools include the introduction of the functions of the hydraulic valves on the Christmas tree panel, training on force-opening tools, training on hydraulic valve force-opening operations, and training on the recovery of hydraulic valve force-opening tools; The installation and recovery scenarios of Christmas tree caps include the installation training of Christmas tree caps and the recovery training of Christmas tree caps; The Christmas tree top cover installation scenario includes Christmas tree top cover installation operation training and pin locking operation training.

[0043] Specifically, the combination of VR glasses and VR wristbands creates an immersive learning environment for trainees, making the training process more intuitive and vivid. Trainees can perform various operations in a virtual environment, as if they were in a real oil tree installation operation scene, thereby improving their concentration and interest in learning. Training in a virtual environment can avoid safety risks that may be brought about in actual operations, such as high pressure, high temperature, deep water and other dangerous factors. At the same time, trainees can practice repeatedly without the risk of actual hardware damage to improve their operating skills and proficiency, so that they can be more confident and safe in actual operations. Diversified training scenarios help trainees to fully understand and master relevant knowledge and skills, laying a solid foundation for future practical work. Each training scenario includes detailed function introduction, tool recognition, operation training and other modules, making the training content more systematic and structured. Trainees can choose the corresponding modules for learning according to their own learning progress and needs, improving the pertinence and efficiency of learning. VR training methods can automatically adjust the training difficulty and speed according to the learning progress and ability of trainees, so that each trainee can achieve the best learning effect in the shortest time. At the same time, since the training process highly simulates real scenarios, the experience and skills acquired by trainees in the virtual environment can be directly applied to actual work, improving the practicality and effectiveness of learning.

[0044] In the above embodiment, the virtual model driving includes the following steps: 1.1) After the trainees have confirmed the training scenario, the operation simulation display device will import the selected scenario model into the VR all-in-one machine; 1.2) The VR all-in-one machine presents the scene on the VR glasses according to the needs of the training scene; Among them, after receiving the scene model imported into the operation simulation display device, the VR all-in-one machine converts the scene model into a virtual model; 1.3) After the virtual model conversion is completed, the complex areas and high polygon density areas in the virtual model are confirmed, and the confirmed areas are geometrically simplified; 1.4) After the geometric structure is simplified, the virtual model is compressed using NVIDIA Texture Tools, and the virtual model after texture compression is rendered with baked lighting for lighting and shadows.

[0045] In the above step 1.2), the virtual model conversion includes the following steps: 1.2.1) After rendering the virtual model with lighting and shadows, adjust the physical engine parameters, where the physical engine parameters include gravity, friction and elasticity; 1.2.2) Setting VR interaction logic for the virtual model after adjusting the physical engine parameters, wherein the VR interaction logic is set to map the virtual model to the VR controller; 1.2.3) Use the virtual model after setting the VR interaction logic to build the VR scene. After the VR scene is built, present the scene on the VR glasses; at the same time, use the speaker to simulate the sound of water flow according to the scene requirements. In addition, when the trainees are undergoing scene training, the VR all-in-one machine records the trainees' scene installation operation process in real time.

[0046] Specifically, the operation simulation can import the scene model into the VR all-in-one machine with high precision, and ensure the delicacy and performance optimization of the scene through steps such as virtual model conversion and geometric structure simplification. Through texture compression, lighting and shadow rendering, and physical engine parameter adjustment, the VR all-in-one machine can present a highly realistic training scene, greatly enhancing the trainees' sense of immersion and experience. Steps such as virtual model conversion, geometric structure simplification, and texture compression have greatly improved the model processing efficiency, reduced the system burden, and made the entire training process smoother. The processed virtual model can be presented instantly on VR glasses, so that trainees can hardly feel any delay. Mapping the virtual model to the VR controller enables trainees to interact with the virtual environment through natural hand movements, greatly enhancing the interactivity and realism of the training. According to the scene requirements, the speaker is used to simulate the sound of water flow and other environmental sound effects, making the entire training scene more vivid and realistic. The adjustment of physical engine parameters, including gravity, friction, elasticity and other physical parameters, makes the physical phenomena in the virtual environment closer to the real world. Trainees can learn in an environment closer to actual operations, providing a safe and risk-free learning environment and reducing the possibility of accidents. Among them, the logical interaction in the Hotstab operation scene includes the front of the oil tree The logic interaction in the mechanical valve switch scene includes the introduction of the mechanical valve function on the front panel of the Christmas tree, the introduction of the hotstab jack function on the right panel of the Christmas tree, the introduction of the hotstab jack function on the rear panel of the Christmas tree, the introduction of the hotstab jack function on the left panel of the Christmas tree, taking the Hotstab tool, reaching the CL / CU jack operation position, inserting the HOTSTAB tool, confirming that the HOTSTAB is inserted in place, confirming that the Hotstab has no hydraulic pressure, and pulling out the HOTSTAB tool; the logical interaction in the mechanical valve switch scene includes the introduction of the mechanical valve function on the front panel of the Christmas tree, the introduction of the mechanical valve function on the right panel of the Christmas tree, the introduction of the mechanical valve function on the rear panel of the Christmas tree, and the mechanical valve function on the left panel of the Christmas tree. Introduction to mechanical valve functions, take the small-sized mechanical valve switch tool, reach the ABV valve operating position, observe the ABV valve opening status, operate the small-sized mechanical valve switch tool to lock the ABV valve, confirm that the ABV valve is locked in place, operate the small-sized mechanical valve switch tool to open the ABV valve, confirm that the ABV valve is opened in place, standby position, take the large-sized mechanical valve switch tool, reach the AAV valve operating position, observe the AAV valve opening status, operate the large-sized mechanical valve switch tool to lock the AAV valve, confirm that the AAV valve is locked in place, operate the large-sized mechanical valve switch tool to open the AAV valve and confirm that the AAV valve is opened in place;The logical interactions in the electro-hydraulic crosser activation and exit scenarios include taking the Class 4 tool, introducing the tool, reaching the PEN valve position for operation, observing the PEN valve status, locking the Class 4 tool, operating the Class 4 tool to activate the electro-hydraulic crosser, confirming that the electro-hydraulic crosser is activated in place, confirming that the Class 4 tool has no pressure, locking the Class 4 tool, the electro-hydraulic crosser exits the activation state, confirming that the electro-hydraulic crosser is activated in place, and confirming that the Class 4 tool has no pressure; the logical interactions in the throttle valve recovery scenario include taking the Class 4 tool, introducing the tool, reaching the throttle valve position, observing the throttle valve locking indication, Lock Class 4 tools, operate Class 4 unlocking throttle valve, observe the unlocking status of throttle valve, confirm that Class 4 tools have no pressure, and recover tools, disconnect the operating fluid flying lead plug from the throttle valve, disconnect the operating electric flying lead plug from the throttle valve, operate the electric flying lead plug to connect the throttle valve, connect the operating fluid flying lead plug to the throttle valve, lock Class 4 tools, operate Class 4 locking throttle valve, observe the locking status of throttle valve and confirm that Class 4 tools have no pressure; logical interactions in the installation and recovery scenarios of MQC include reaching the deployment basket position, taking the MQC joint, reaching the Christmas tree position, and installing MQC The logical interactions in the installation and recovery scenarios of the guide wire anchor include reaching the Christmas tree position, guiding the guide wire anchor to be installed on the guide column, operating the locking ring, locking the guide wire anchor, operating the locking ring, and unlocking the guide wire anchor; the logical interactions in the installation and recovery scenarios of the hydraulic valve forced opening tool include the introduction of the hydraulic valve function on the front panel of the Christmas tree, the introduction of the hydraulic valve function on the rear panel of the Christmas tree, taking the LLOT tool, reaching the Christmas tree PWV valve position, operating the LLOT to rotate and lock it to the Christmas tree PWV valve, and putting the LVO The T tool is locked to LLOT, the forced opening is confirmed, the valve stem is operated to lock LLOT, the platform is depressurized, the LVOT tool is recovered, the LVOT tool is operated to unlock the LLOT tool, the valve stem is observed to be unlocked in place, and the pressure is confirmed to be completely relieved; the logical interaction in the installation and recovery of the Christmas tree cap includes reaching the Christmas tree position, assisting in guiding the lowering of the Christmas tree cap, taking the electric flying lead connector, observing the installation of the electric flying lead, operating the electric flying lead plug to disconnect from the Christmas tree, and guiding the drill pipe to connect to the top of the Christmas tree cap; the logical interaction in the installation of the Christmas tree top cover scene includes reaching the top position of the Christmas tree, guiding the lowering of the top cover, inserting the locking pin, and installing the nut. ;

[0047] In the above embodiment, the virtual reality-based shallow water underwater Christmas tree installation operation simulation method further includes an installation operation evaluation step, which includes the following steps: After the trainees complete the scene training, the VR all-in-one machine will send the real-time recorded scene installation process to the operation simulation display device; The operation simulation display device divides the scene installation operation process into installation steps; Compare each split installation step with the standard Christmas tree installation rules; Determine the completeness of the split installation steps based on the comparison results; Finally, the completeness will be graded. The higher the completeness, the higher the score, and the higher the grade; the grade rating includes excellent grade, qualified grade and unqualified grade.

[0048] Specifically, the VR all-in-one machine records the student's scene installation operation process in real time and sends it to the operation simulation display device in real time, so that the student can immediately see the results of his operation. This instant feedback mechanism helps students to find problems in time and adjust their operations, improve learning effects, and compare each split installation step with the standard oil tree installation rules to ensure the accuracy and objectivity of the evaluation. This standard-based evaluation method helps to ensure that the student's operation complies with industry specifications and safety requirements, judges the completeness of the split installation steps based on the comparison results, and grades them accordingly. This scoring mechanism can intuitively reflect the student's operation level and mastery, and at the same time provide a basis for quantitative evaluation for training institutions or enterprises. The grade rating includes excellent grade, qualified grade and unqualified grade, which helps to manage and motivate students in a graded manner. The operation simulation can comprehensively and accurately evaluate the student's operation ability and level, thereby helping training institutions or enterprises to optimize training content and methods and improve training quality. At the same time, the grading mechanism also helps to stimulate students' learning enthusiasm and competitive awareness. At the same time, it highly restores the underwater environment with weak light but bizarre lights and various complex sounds, including echoes, to improve psychological adaptability and enhance practical operation ability and efficiency.

[0049] In one embodiment of the present invention, a virtual reality-based shallow water underwater Christmas tree installation operation simulation system is also provided, which is used to implement the simulation methods in the above embodiments. In this embodiment, the simulation system includes an operation simulation display device and a VR all-in-one machine.

[0050] The operation simulation display device and the VR all-in-one machine are wirelessly connected, and the operation simulation display device and the VR all-in-one machine communicate with each other by signal; The VR all-in-one machine includes VR glasses and VR wristband (referred to as wristband); the operation simulation display device includes a display and a host; the VR glasses include a display screen and a speaker.

[0051] Specifically, the control module of the virtual reality-based shallow water underwater Christmas tree installation operation simulation system includes: The training personnel management unit is used to: enable trainees to log in to the operation simulation before performing installation operations, authenticate the trainees when logging in, and log in to the operation simulation interface after successful authentication; The training equipment testing unit is used to: perform function testing on the training equipment before the trainees start the operation training. After the training equipment passes the testing, the trainees can select the Christmas tree installation training on the operation simulation interface; The installation project selection training unit is used for: trainees to select installation projects according to their needs. After the installation project selection is completed, the training equipment selects the corresponding installation scene according to the installation project. At the same time, the training equipment records the installation operation process of the trainees in real time; The installation operation evaluation unit is used for: operation simulation to evaluate the installation operation process recorded in real time by the training equipment, and to grade the trainees according to the evaluation results of the operation.

[0052] Specifically, through the electronic training method of the training personnel management unit, trainees can study at any time and any place, avoiding the time and space limitations of traditional training methods. Through the highly simulated training environment and diversified training programs of the training equipment detection unit, trainees can quickly master the installation operation skills of underwater oil production trees in a short period of time. Through the installation project selection training unit, the experience and skills acquired by trainees in the virtual environment can be directly applied to actual work, which improves the practicality and effectiveness of learning. The installation operation evaluation unit helps to manage and motivate trainees in a hierarchical manner. The operation simulation can comprehensively and accurately evaluate the trainees' operational capabilities and levels, thereby helping training institutions or enterprises optimize training content and methods and improve training quality.

[0053] The above embodiment further includes a training personnel management unit, which is also used for: When students are undergoing installation operation training, they first log into the operation simulation; When logging into the simulation, students enter their student number, password, name, position, and face recognition to log in; If the student has not registered for homework simulation, please register an account first; Operational simulation includes team management, student management and training selection.

[0054] Specifically, students are authenticated when they log in, including multiple verification methods such as student number, password, name, position, and facial recognition, which effectively prevents unauthorized personnel from entering the system and improves the security of job simulation. Through the entry and verification of student information, the system can provide customized training content based on the student's position and needs, making learning more targeted and effective. Job simulation includes functional modules such as team management, student management, and training selection, which helps training institutions or enterprises to comprehensively manage and track students' learning progress and training results. Through electronic training methods, students can study at any time and any place, avoiding the time and space limitations of traditional training methods, thereby improving training efficiency.

[0055] In the above embodiment, a training device detection unit is also included, including: The training equipment confirmation module is used for: the training equipment includes an operation simulation display device and a VR all-in-one machine; The operation simulation display device and the VR all-in-one machine are wirelessly connected, and the operation simulation display device and the VR all-in-one machine communicate with each other by signal; The VR all-in-one machine includes VR glasses and VR wristband; the operation simulation display device includes a display and a host; the VR glasses include a display screen and a speaker.

[0056] The equipment function detection module is used to: perform equipment function detection on the operation simulation display device before the trainees start the operation training; Among them, the display is subjected to appearance inspection, power supply inspection, screen display inspection and resolution inspection; the host is subjected to startup inspection, hardware inspection and wireless connection inspection; After the operation simulation display device is tested, the function test of the VR all-in-one device is carried out; the display screen and speaker tests are carried out on the VR glasses; the connection test, fixity test and tracking sensor test are carried out on the VR wristband; After the equipment function tests of the operation simulation display device and the VR all-in-one machine are passed, the trainees can select the installation training items on the display terminal of the operation simulation display device; After the installation training project selection is completed, the trainees wear VR glasses and VR wristbands.

[0057] Specifically, VR glasses and VR wristbands are used to provide trainees with a highly simulated underwater operation environment, allowing them to experience the underwater oil production tree installation operation process in an immersive way, thereby enhancing the realism and immersion of the training. The operation simulation display device and the VR all-in-one machine are wirelessly connected, which not only avoids the constraints of cables, but also realizes seamless signal intercommunication, thereby improving the flexibility and convenience of training. Before training, the operation simulation display device and the VR all-in-one machine are fully inspected, including the appearance, power supply, screen display and resolution of the display, as well as the startup, hardware and wireless connection of the host, to ensure that the equipment runs stably during the training process, thereby improving the safety and reliability of the training. The tracking sensor on the VR wristband can capture the trainees' movements and postures in real time, and provide accurate feedback data for the operation simulation, which helps trainees to correct errors in time and improve their operation skills. Through a highly simulated training environment and diversified training programs, trainees can quickly master the underwater oil production tree installation operation skills in a short period of time, thereby improving training efficiency.

[0058] In one embodiment of the present invention, a computing device is provided, which may be a terminal, and may include: a processor, a communication interface, a memory, a display screen, and an input device. Among them, the processor, the communication interface, and the memory communicate with each other through a communication bus. The processor is used to provide computing and control capabilities. The memory includes a non-volatile storage medium and an internal memory, and the non-volatile storage medium stores an operating system and a computer program. When the computer program is executed by the processor, the method in each of the above embodiments is implemented; the internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a management network, NFC (near field communication) or other technologies. The display screen may be a liquid crystal display screen or an electronic ink display screen, and the input device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computing device, or an external keyboard, touchpad or mouse, etc. The processor may call the logic instructions in the memory.

[0059] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on such an understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0060] In one embodiment of the present invention, a computer program product is provided, wherein the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided by the above-mentioned method embodiments.

[0061] In one embodiment of the present invention, a non-transitory computer-readable storage medium is provided, wherein the non-transitory computer-readable storage medium stores server instructions, and the computer instructions enable a computer to execute the methods provided in the above embodiments.

[0062] The above embodiment provides a computer-readable storage medium, whose implementation principle and technical effect are similar to those of the above method embodiment, and will not be repeated here.

[0063] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0064] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0065] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. 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 simulating shallow water underwater Christmas tree installation operations based on virtual reality, characterized in that: include: A virtual model driving step is used to generate a shallow water underwater Christmas tree model and seabed environment and project it onto VR glasses and speakers; The detection and evaluation steps include: A first detection data extraction step, extracting detection data corresponding to the display screen detection of the VR glasses as first detection data, wherein the first detection data includes refresh rate, brightness, contrast and viewing angle range change rate; A second detection data extraction step of extracting detection data corresponding to the speaker detection as second detection data, wherein the second detection data includes a signal-to-noise ratio, a dynamic range, and a distortion; A first detection quality evaluation parameter acquisition step, using the first detection data corresponding to the display screen detection to acquire the first detection quality evaluation parameter; A second detection quality evaluation parameter acquisition step, using second detection data corresponding to the speaker detection to acquire a second detection quality evaluation parameter; A first comparison step of comparing the first detection quality evaluation parameter and the second detection quality evaluation parameter with their corresponding first evaluation parameter threshold and second evaluation parameter threshold respectively; a debugging warning step, when the first detection quality evaluation parameter is lower than the first evaluation parameter threshold, or the second detection quality evaluation parameter is lower than the second evaluation parameter threshold, it is determined that the device function is poor, and a device parameter debugging prompt is performed; The evaluation step is performed to detect and evaluate the tracking sensor of the wristband when the first detection quality evaluation parameter is not lower than the first evaluation parameter threshold and the second detection quality evaluation parameter is not lower than the second evaluation parameter threshold.

2. The method for simulating shallow water underwater Christmas tree installation operation based on virtual reality as claimed in claim 1, characterized in that: The first detection quality evaluation parameter is: Among them, Q 01 represents the first detection quality evaluation parameter; n represents the number of unit times experienced by the display screen detection, and the unit time is 1s; R i Represents the refresh rate corresponding to the i-th unit time; R y Indicates the minimum refresh rate required for the display to operate; V indicates the rate of change of the viewing angle range during the display detection process; V opt represents the change rate of the optimal viewing angle range required by the display; σ represents the preset viewing angle adjustment sensitivity parameter; B and C represent the brightness and contrast of the display, respectively; B y and C y Respectively represent the minimum brightness and contrast required for the display to operate; The second detection quality evaluation parameter is: Among them, Q 02 represents the second detection quality evaluation parameter; SNR represents the signal-to-noise ratio; Y max Indicates the maximum volume value allowed by the speaker; Y min Indicates the minimum volume value allowed for VR operation; D indicates the corresponding value of distortion; D y Indicates the maximum distortion allowed for normal operation of the speaker.

3. The method for simulating shallow water underwater Christmas tree installation operation based on virtual reality as claimed in claim 1, characterized in that: The detection and evaluation step also includes a third detection data extraction step: extracting detection data corresponding to the detection of the tracking sensor as third detection data; wherein the third detection data includes the response time of the tracking sensor and the number of times the position data is updated per second.

4. The method for simulating shallow water underwater Christmas tree installation operation based on virtual reality as claimed in claim 3, characterized in that: The method further comprises a first operation evaluation parameter acquisition step, wherein the first operation evaluation parameter is acquired by using the response time of the tracking sensor; The first operation evaluation parameter is: Among them, P 01 represents the first operation evaluation parameter; α represents the adjustment factor; m represents the tracking times of the tracking sensor; T i represents the response time of the tracking sensor for the i-th tracking; T y represents the preset maximum allowed response time; t represents the preset reference value of the response time fluctuation parameter; A second operation evaluation parameter acquisition step is to acquire a second operation evaluation parameter using the number of times the position data is updated per second, wherein the second operation evaluation parameter is: Among them, P 02 represents the second operation evaluation parameter; k represents the number of unit times experienced by the tracking sensor; N i Indicates the number of times the position data is updated corresponding to the i-th unit time; N y Indicates the minimum number of times per second that the tracking sensor updates the position data to meet the tracking requirements; N max Indicates the maximum number of times per second the location data is updated generated by the tracking sensor detection; The third detection quality evaluation parameter acquisition step is to acquire the third detection quality evaluation parameter using the first operation evaluation parameter and the second operation evaluation parameter; wherein the third detection quality evaluation parameter is: Among them, Q 03 represents the third detection quality evaluation parameter; P 01 Represents the first operation evaluation parameter; P 02 represents the second operation evaluation parameter; a Indicates the weight value corresponding to the first operation evaluation parameter; b Indicates the weight value corresponding to the second operation evaluation parameter; The second comparison step compares the third detection quality evaluation parameter with its corresponding third evaluation parameter threshold, so as to determine that the tracking sensor is operating abnormally and issue an equipment abnormality alarm when the third detection quality evaluation parameter is lower than the third evaluation parameter threshold.

5. The method for simulating shallow water underwater Christmas tree installation operation based on virtual reality as claimed in claim 1, characterized in that: It also includes the steps of selecting training for the installation project: confirming the selected training scene again on the VR glasses through the wristband; The training scenarios include Hotstab operation scenarios, mechanical valve switching scenarios, electro-hydraulic traverser activation and exit scenarios, throttle valve recovery scenarios, MQC installation and recovery scenarios, guide wire anchor installation and recovery scenarios, hydraulic valve force opening tool installation and recovery scenarios, Christmas tree cap installation and recovery scenarios and Christmas tree top cover installation scenarios.

6. The method for simulating shallow water underwater Christmas tree installation operation based on virtual reality as claimed in claim 1, characterized in that: The virtual model driving steps include: After the scene is confirmed, the operation simulation display device imports the selected scene model into the VR all-in-one machine; The VR all-in-one machine presents the scene on the VR glasses according to the needs of the training scene; Among them, after receiving the scene model imported into the operation simulation display device, the VR all-in-one machine converts the scene model into a virtual model; After the virtual model conversion is completed, the complex areas and high polygon density areas in the virtual model are confirmed, and the confirmed areas are geometrically simplified; After the geometric structure is simplified, NVIDIA Texture Tools is used to compress the texture of the virtual model, and the virtual model after texture compression is rendered with baked lighting for lighting and shadows.

7. The method for simulating shallow water underwater Christmas tree installation operation based on virtual reality as claimed in claim 6, characterized in that: Convert the scene model into a virtual model, including: After the virtual model is rendered with lighting and shadows, the physical engine parameters are adjusted, where the physical engine parameters include gravity, friction and elasticity; Perform VR interaction logic setting on the virtual model after adjusting the physical engine parameters, wherein the VR interaction logic is set to map the virtual model to the VR controller; The virtual model after the VR interaction logic is set is used to build the VR scene. After the VR scene is built, the scene is presented on the VR glasses; at the same time, the speakers are used to simulate the sound of water flow according to the scene requirements.

8. The method for simulating shallow water underwater Christmas tree installation based on virtual reality as claimed in claim 6, characterized in that: Test and evaluate the wristband’s tracking sensor, including: After completing the scene training operation, the VR all-in-one machine will send the real-time recorded scene installation operation process to the operation simulation display device; The operation simulation display device divides the scene installation operation process into installation steps; Compare each split installation step with the standard Christmas tree installation rules; Determine the completeness of the split installation steps based on the comparison results; Finally, the completeness will be graded.

9. A system for implementing the virtual reality-based shallow water underwater Christmas tree installation operation simulation method as claimed in any one of claims 1 to 8, characterized in that: Including operation simulation display device and VR all-in-one machine; The operation simulation display device and the VR all-in-one machine are wirelessly connected, and the operation simulation display device and the VR all-in-one machine communicate with each other by signal; The VR all-in-one machine includes VR glasses and VR wristband; the operation simulation display device includes a display and a host; the VR glasses include a display screen and a speaker.

10. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any one of the methods of claims 1 to 8.

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