Visual self-elevating platform applied to truss type pile leg and use method of visual self-elevating platform

Abstract

The invention discloses a visual self-elevating platform applied to a truss type pile leg. The visual self-elevating platform applied to the truss type pile leg comprises an image acquisition device, distributed optical fiber sensor detection equipment, a GIS system underwater laser scanner, a pile leg, a platform ship body and a central control machine, the bottom of the pile leg penetrates through the platform ship body and then is inserted into seabed soil, an image acquisition device is installed in the pile leg, and a plurality of distributed optical fiber sensor detection devices are sequentially installed in the pile leg from top to bottom; a steel wire rope take-up and pay-off machine is installed in the pile leg, a steel wire rope is arranged on the steel wire rope take-up and pay-off machine, a GIS system underwater laser scanner is arranged on the steel wire rope, and a camera is installed on the side face of the GIS system underwater laser scanner. The image acquisition device is in signal connection with the database, and the database is in signal connection with the central control machine; and the GIS system underwater laser scanner is in signal connection with the central control machine. The pile leg can be adjusted and dealt with in real time according to site conditions.

Description

Technical Field

[0001] The invention relates to an improvement of a pile leg visualization technology, belongs to the field of marine engineering, and in particular to a visualization self-elevating platform applied to truss-type pile legs and a use method thereof. Background Art

[0002] With the continuous development and progress of marine engineering technology, the scale and complexity of jack-up platforms, as important infrastructure for offshore oil and gas development, are also increasing, and the safety requirements for offshore pile standing are also getting higher and higher. There are many risk factors in the process of jack-up platforms standing piles, such as complex geological conditions, harsh construction wave environment, equipment failure, etc. These unfavorable factors may affect the standing pile effect of jack-up platforms, and even cause serious safety accidents such as platform capsizing. With the introduction of engineering projects such as offshore power generation and deep-sea mining, the demand for jack-up platforms is increasing. The introduction of advanced visualization technology to adapt to the lifting system of jack-up platforms will become a trend. At present, due to inaccurate seabed soil surveys and insufficient operating experience of crew members, jack-up platform pile standing often causes unstable pile standing and even "puncture" and other phenomena, and it is impossible to provide real-time guidance for the pile legs.

[0003] The Chinese patent application with application number CN202211252626.2 and application date October 13, 2022 discloses a hydraulic rack-type lifting system and application method for a truss pile-leg self-elevating platform. The hydraulic rack-type lifting system is mounted on a pile leg chord tube with a rack, and includes a lifting rack, a lifting cylinder, a locking device mechanism and a pile fixing frame. The hydraulic rack-type lifting system is installed on the main deck of the self-elevating platform. The lifting rack engages and disengages with the rack on the pile leg chord tube to achieve continuous lifting of the offshore platform. This solution reduces the difficulty of lifting and is not prone to failure, but it does not solve the problem of being unable to adjust and respond to the pile legs in real time according to the on-site situation.

[0004] The information disclosed in this background technology section is only intended to increase the understanding of the overall background of this patent application, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art already known to ordinary technicians in this field. Summary of the invention

[0005] The purpose of the present invention is to overcome the problem in the prior art that the pile legs cannot be adjusted and responded to in real time according to the on-site conditions, and to provide a visual self-elevating platform applied to truss-type pile legs that can adjust and respond to the pile legs in real time according to the on-site conditions.

[0006] To achieve the above objectives, the technical solution of the present invention is: a visual self-elevating platform applied to truss-type pile legs, the visual self-elevating platform applied to truss-type pile legs comprises an image acquisition device, a distributed optical fiber sensor detection device, a GIS system underwater laser scanner, pile legs, a platform hull and a central control machine; The bottom of the pile leg penetrates the platform hull and is inserted into the seabed soil. An image acquisition device is installed inside the pile leg. A plurality of distributed optical fiber sensor detection devices are installed in the center of the pile leg from top to bottom. Two wire rope retractors are installed on both sides of the inner wall of the pile leg, each wire rope retractor is provided with a wire rope, a GIS system underwater laser scanner is arranged on the wire rope, and a camera is installed on the side of the GIS system underwater laser scanner; The image acquisition device is connected to the database signal, and the database is connected to the central control machine signal; The GIS system underwater laser scanner is connected to the central control machine by signal.

[0007] The image acquisition device is used to monitor the deformation of the internal structure of the pile leg, capture seabed information, and shoot the rope of the retractor, and transmit the shooting picture to the central control machine; The distributed optical fiber sensor detection equipment is used to monitor the main stress points of the pile legs during the pile standing process and send the monitoring parameters to the central control machine; The underwater laser scanner of the GIS system is used to read the surface structure information and soil information of the seabed, and send the acquired information to the central control machine.

[0008] The camera also includes a device for measuring the depth of the pile leg into the mud in real time according to the pile leg scale line; The distributed optical fiber sensor detection equipment also includes detecting the total load of the pile legs; The underwater laser scanner of the GIS system also includes scanning the status of the pile legs and sending the information to the central control computer.

[0009] The database is set in the central control computer, and after learning a large amount of data in combination with a neural network, an expert database is formed by analyzing and summarizing, and the target seabed soil composition and the untidy rope of the retractor are analyzed and diagnosed.

[0010] The steel wire rope is U-shaped, the GIS system underwater laser scanner is arranged at the lower end of the U-shaped steel wire rope, and the steel wire rope retractor is installed at the inner upper end of the pile leg.

[0011] The plurality of distributed optical fiber sensor detection devices are evenly distributed on the inner side of the pile legs.

[0012] The image acquisition device includes a plurality of shooting devices, and all the shooting devices are evenly arranged on the wire rope.

[0013] A method for using a visualized self-elevating platform applied to a truss-type pile leg, the method for using the visualized self-elevating platform applied to the truss-type pile leg comprising the following steps: The first step is to fix the image acquisition device on the pile leg, then connect the camera responsible for distance measurement to the pile leg through a wire rope, and install the wire rope retractor on the top of the pile leg; Step 2: Start the pile legs. During the descent of the pile legs, the brake pads of the wire rope retractor are released and the camera starts to descend. Its speed is kept the same as the descent speed of the pile legs. At this time, the ranging camera and the seabed scanner are lowered along with the pile legs. When the preset distance from the seabed is measured, the brake pads of the wire rope retractor are closed and the camera is fixed to shoot the seabed. Multiple shooting pictures in the descent diagram are obtained and sent to the central control machine. Step 3: The distributed optical fiber sensor detection equipment monitors the stress point during the lowering process of the pile leg, obtains the detection parameters, and then sends the monitoring parameters to the central control computer; In the fourth step, the central control machine analyzes and processes the shooting images and detection parameters to obtain processing results, and makes an interactive virtual seabed real-scene animation based on the processing results. The pile pulling operator performs the pile pulling operation based on the virtual seabed real-scene animation.

[0014] In the fourth step, the central control machine analyzes and processes the captured images and detection parameters to obtain the following processing results: first, the central control machine uses the convolutional neural network model to process and learn the image data, and trains and identifies the various types of soil images taken. Since the database system is connected to the camera data, the current soil type is identified through the database system based on the captured images, and the identification results are provided to the pile operator to determine whether the conditions for entering the mud are met.

[0015] In the fourth step, an interactive virtual seabed real scene animation is produced according to the processing result, and the interactive virtual seabed real scene animation includes a two-dimensional animation and a three-dimensional animation.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. In a visual self-elevating platform and a method for using the same applied to truss-type pile legs, the bottom of the pile legs penetrates the platform hull and is inserted into the seabed soil. An image acquisition device is installed inside the pile legs, and multiple distributed optical fiber sensor detection devices are installed in sequence from top to bottom inside the pile legs; a wire rope retractor is installed inside the pile legs, a wire rope is arranged on the wire rope retractor, and a GIS system underwater laser scanner is arranged on the wire rope. A camera is installed on the side of the GIS system underwater laser scanner, which can monitor the seabed soil conditions in real time. When used, the information fed back by the GIS system underwater laser scanner and the image acquisition device can be used to view the pile leg insertion status and the pile leg mud penetration depth in real time, identify the seabed soil type, accurately detect the pile leg stress, deformation and other states, ensure the stability of the platform pile standing, improve the environmental adaptability of the self-elevating platform, and at the same time, combine the parameters and the picture support pile standing animation to automatically control the actual pile standing process of the platform, greatly increasing the pile standing efficiency. Therefore, the present invention can adjust and respond to the pile legs in real time according to the on-site situation.

[0017] 2. In the visualized self-elevating platform applied to truss-type pile legs and the use method thereof, the stress conditions of the pile legs and pile shoes at various locations can be monitored after pile standing and pile pulling, and the external wear can be monitored, and displayed on an interactive animation interface, which greatly reduces the risk of platform lifting and lowering, improves the stability and safety of pile standing, and effectively avoids the overturning of the platform. Therefore, the present invention is safe to use and has high pile standing efficiency.

[0018] 3. The present invention is a visualized self-elevating platform applied to truss-type pile legs and its use method, which visualizes the entire pile-standing process, so that the pile leg stress health monitoring, pile leg mud depth monitoring, and seabed anomaly monitoring are organically combined into one, which greatly shortens the pre-pile preparation time, and also improves the efficiency and accuracy of the platform pile standing. More importantly, the potential safety hazards that may arise from long-term platform pile standing can also be better avoided. Therefore, the present invention has high efficiency and long service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a structural schematic diagram of the present invention.

[0020] In the figure: image acquisition device 1, distributed optical fiber sensor detection equipment 2, GIS system underwater laser scanner 3, pile legs 4, platform hull 5, camera 101, wire rope retractor 102, wire rope 103. DETAILED DESCRIPTION

[0021] The present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0022] See also Figure 1A visualization jack-up platform applied to a truss-type pile leg, the visualization jack-up platform applied to the truss-type pile leg comprises an image acquisition device 1, a distributed optical fiber sensor detection device 2, a GIS system underwater laser scanner 3, a pile leg 4, a platform hull 5 and a central control machine; The bottom of the pile leg 4 penetrates through the platform hull 5 and is inserted into the seabed soil. An image acquisition device 1 is installed inside the pile leg 4. A plurality of distributed optical fiber sensor detection devices 2 are installed in sequence from top to bottom inside the pile leg 4. Two wire rope retractors 102 are respectively installed on both sides of the inner wall of the pile leg 4, each wire rope retractor 102 is provided with a wire rope 103, a GIS system underwater laser scanner 3 is arranged on the wire rope 103, and a camera 101 is installed on the side of the GIS system underwater laser scanner 3; The image acquisition device 1 is connected to the database signal, and the database is connected to the central control machine signal; The GIS system underwater laser scanner 3 is connected to the central control machine by signal.

[0023] The image acquisition device 1 is used to monitor the deformation of the internal structure of the pile leg, capture seabed information, and shoot the rope of the retractor, and transmit the shooting picture to the central control machine; The distributed optical fiber sensor detection device 2 is used to monitor the main stress points of the pile legs 4 during the pile standing process, and send the monitoring parameters to the central control machine; The underwater laser scanner 3 of the GIS system is used to read the seabed surface structure information and soil information, and send the acquired information to the central control machine.

[0024] The camera 101 also includes a device for measuring the depth of the pile leg 4 into the mud in real time according to the scale lines of the pile leg 4; The distributed optical fiber sensor detection device 2 also includes detecting the total load of the pile leg; The underwater laser scanner 3 of the GIS system also includes scanning the status of the pile legs 4 and sending the information to the central control machine.

[0025] The database is set in the central control computer, and after learning a large amount of data in combination with a neural network, an expert database is formed by analyzing and summarizing, and the target seabed soil composition and the untidy rope of the retractor are analyzed and diagnosed.

[0026] The steel wire rope 103 is U-shaped, the GIS system underwater laser scanner 3 is arranged at the lower end of the U-shaped steel wire rope 103 , and the steel wire rope retractor 102 is installed at the inner upper end of the pile leg 4 .

[0027] The plurality of distributed optical fiber sensor detection devices 2 are evenly distributed on the inner side of the pile leg 4 .

[0028] The image acquisition device 1 includes a plurality of shooting devices, and all the shooting devices are evenly arranged on the steel wire rope 103 .

[0029] A method for using a visualized self-elevating platform applied to a truss-type pile leg, the method for using the visualized self-elevating platform applied to the truss-type pile leg comprising the following steps: The first step is to fix the image acquisition device 1 on the pile leg 4, and then connect the camera 101 responsible for distance measurement to the pile leg 4 through the wire rope 4, and install the wire rope retractor 102 on the top of the pile leg 4; Step 2: Start the pile leg 4. During the descent of the pile leg 4, the brake pad of the wire rope retractor 4 is released and the camera 101 starts to be lowered. Its speed is kept the same as the descent speed of the pile leg 4, so that the ranging camera 101 and the seabed scanner are lowered along with the pile leg 4. When measuring the preset distance from the seabed, the brake pad of the wire rope retractor 4 is closed and the camera 101 is fixed to shoot the seabed, so as to obtain multiple shooting pictures in the descent diagram, and send the shooting pictures to the central control machine. Step 3: The distributed optical fiber sensor detection device 2 monitors the stress point during the descent of the pile leg 4, obtains the detection parameters, and then sends the monitoring parameters to the central control machine; In the fourth step, the central control machine analyzes and processes the shooting images and detection parameters to obtain processing results, and makes an interactive virtual seabed real-scene animation based on the processing results. The pile pulling operator performs the pile pulling operation based on the virtual seabed real-scene animation.

[0030] In the fourth step, the central control machine analyzes and processes the captured images and detection parameters to obtain the following processing results: first, the central control machine uses the convolutional neural network model to process and learn the image data, and trains and identifies the various types of soil images taken. Since the database system is connected to the camera data, the current soil type is identified through the database system based on the captured images, and the identification results are provided to the pile operator to determine whether the conditions for entering the mud are met.

[0031] In the fourth step, an interactive virtual seabed real scene animation is produced according to the processing result, and the interactive virtual seabed real scene animation includes a two-dimensional animation and a three-dimensional animation.

[0032] The supplementary description of the present invention is as follows: With the central control machine as the central control, the parameter information collected by the camera, distributed sensors and scanners are integrated into one, and the entire pile standing process is visualized, realizing the stress health monitoring of the pile legs, the depth of the pile legs in the mud, and the monitoring of seabed anomalies. It greatly shortens the pre-pile preparation time and improves the efficiency and accuracy of the platform pile standing. More importantly, the potential safety hazards that may arise from long-term platform pile standing can also be better avoided.

[0033] Embodiment 1: A visualization self-elevating platform applied to truss-type pile legs, the visualization self-elevating platform applied to truss-type pile legs comprises an image acquisition device 1, a distributed optical fiber sensor detection device 2, a GIS system underwater laser scanner 3, pile legs 4, a platform hull 5 and a central control machine; the bottom of the pile leg 4 penetrates the platform hull 5 and is inserted into the seabed mud, the image acquisition device 1 is installed inside the pile leg 4, and a plurality of distributed optical fiber sensor detection devices 2 are installed inside the pile leg 4 in sequence from top to bottom; a wire rope retractor 102 is installed inside the pile leg 4, a wire rope 103 is arranged on the wire rope retractor 102, a GIS system underwater laser scanner 3 is arranged on the wire rope 103, and a camera 101 is installed on the side of the GIS system underwater laser scanner 3; the image acquisition device 1 is connected to a database signal, and the database is connected to a central control machine signal; the GIS system underwater laser scanner 3 is connected to a central control machine signal; A method for using a visualized self-elevating platform applied to a truss-type pile leg, the method for using the visualized self-elevating platform applied to the truss-type pile leg comprising the following steps: The first step is to fix the image acquisition device 1 on the pile leg 4, and then connect the camera 101 responsible for distance measurement to the pile leg 4 through the wire rope 4, and install the wire rope retractor 102 on the top of the pile leg 4; Step 2: Start the pile leg 4. During the descent of the pile leg 4, the brake pad of the wire rope retractor 4 is released and the camera 101 starts to be lowered. Its speed is kept the same as the descent speed of the pile leg 4, so that the ranging camera 101 and the seabed scanner are lowered along with the pile leg 4. When measuring the preset distance from the seabed, the brake pad of the wire rope retractor 4 is closed and the camera 101 is fixed to shoot the seabed, so as to obtain multiple shooting pictures in the descent diagram, and send the shooting pictures to the central control machine. Step 3: The distributed optical fiber sensor detection device 2 monitors the stress point during the descent of the pile leg 4, obtains the detection parameters, and then sends the monitoring parameters to the central control machine; In the fourth step, the central control machine analyzes and processes the shooting images and detection parameters to obtain processing results, and makes an interactive virtual seabed real-scene animation based on the processing results. The pile pulling operator performs the pile pulling operation based on the virtual seabed real-scene animation.

[0034] Embodiment 2: Embodiment 2 is substantially the same as Embodiment 1, except that: The image acquisition device 1 is used to monitor the deformation of the internal structure of the pile leg, capture the seabed information, and shoot the rope of the retractor, and transmit the shooting picture to the central control machine; the distributed optical fiber sensor detection equipment 2 is used to monitor the main stress points of the pile leg 4 during the pile standing process, and send the monitoring parameters to the central control machine; the GIS system underwater laser scanner 3 is used to read the surface structure information and soil information of the seabed, and send the acquired information to the central control machine; the camera 101 also includes real-time measurement of the mud penetration depth of the pile leg 4 according to the scale line of the pile leg 4, for example: the camera reads the current pile leg water level as X, and it is known that the current camera is 4 meters away from the seabed, so the specific mud penetration depth of the current pile leg can be calculated, which is more convenient than the depth sounder; the distributed optical fiber sensor The detection device 2 also includes a total load detection pile leg; the GIS system underwater laser scanner 3 also includes scanning the status of the pile leg 4 and sending the information to the central control machine; the database is set in the central control machine, combined with the neural network to learn a large amount of data and then analyze and summarize to form an expert database, analyze and diagnose the target seabed soil composition and the rope of the retractor, and the central control machine produces an interactive virtual seabed real-life animation based on the pile leg operation parameters and the scanner scanning results, and displays the animation to the lifting operator, dynamically displaying the self-elevating platform pile standing and pile pulling process. The platform's lifting process is mainly controlled by the operator to control the pile legs, and the central control machine can display the operation instructions on the central control machine display in real time. To ensure safety, all operations require manual control.

[0035] During application: when the measuring distance is about 4-5 meters from the seabed, the brake pad of the wire rope retractor 102 is closed and the camera 101 is fixed to shoot the seabed, and the captured image is sent to the central control machine. The lifting process of the camera 101 is independent of the pile leg 4 and does not affect each other. After the camera 101 is fixed, it will not interfere with or affect the lifting of the pile leg 4. The rope meets the requirements and is not used to limit the wire rope 103.

[0036] Embodiment 3: Embodiment 3 is substantially the same as Embodiment 1, except that: In the fourth step, the central control machine analyzes and processes the captured images and detection parameters to obtain the following processing results: first, the central control machine uses the convolutional neural network model to process and learn the image data, and trains and identifies the various types of soil images taken. Since the database system is connected to the camera data, the current soil is identified through the database system based on the captured images, and the identification results are provided to the pile operator to determine whether the conditions for entering the mud are met. The interactive virtual seabed real-life animation includes two-dimensional animation and three-dimensional animation.

[0037] Embodiment 4: Embodiment 4 is substantially the same as Embodiment 1, except that: The image acquisition device 1 monitors the appearance of the pile leg 4 and the seabed, and sends the picture to the central control machine. The distributed optical fiber sensor detection equipment 2 monitors the various parameters of the stress point of the pile leg 4 and sends them to the central control machine. The GIS system underwater laser scanner 3 scans the seabed of the pile, obtains the surface structure information and soil information of the seabed, and sends it to the central control machine. The database retrieves the picture from the central control machine and inputs it into the neural network model to obtain the soil analysis result, and judges whether the conditions for entering the mud are met. The central control machine obtains an interactive virtual seabed real-life animation based on the received information, and displays the animation to the pile operator for dynamic display of the pile process. When the operator makes adjustments according to the actual process of the pile, the central control machine receives the instruction and displays the operation synchronously in the animation. The image acquisition device 1 monitors the appearance of the pile leg 4 and the rope retracting status of the retractor, and sends the picture to the central control machine. The distributed optical fiber sensor detection equipment 2 monitors the various parameters of the stress points of the pile leg 4 and sends them to the central control machine. The GIS system underwater laser scanner 3 scans the pile leg 4, the pile shoe status and the appearance after the pile is pulled out and sends them to the central control machine. The data is retrieved from the central control machine and input into the neural network model to obtain the rope retracting monitoring result to determine whether the rope retracting is completed correctly. The central control machine obtains an interactive virtual pile pulling real-life animation based on the received information and displays the animation to the pile pulling operator for dynamically displaying the pile pulling process. When the operator makes adjustments according to the actual pile pulling process, the central control machine receives the instruction and displays the operation synchronously in the animation.

[0038] The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiment. Any equivalent modifications or changes made by ordinary technicians in this field based on the contents disclosed by the present invention should be included in the protection scope recorded in the claims.

Claims

1. A visual jack-up platform applied to truss-type pile legs, characterized by: The visual self-elevating platform applied to truss-type pile legs comprises an image acquisition device (1), a distributed optical fiber sensor detection device (2), a GIS system underwater laser scanner (3), pile legs (4), a platform hull (5) and a central control machine; The bottom of the pile leg (4) penetrates through the platform hull (5) and is inserted into the seabed soil. An image acquisition device (1) is installed inside the pile leg (4). A plurality of distributed optical fiber sensor detection devices (2) are installed in sequence from top to bottom in the center of the pile leg (4). Two steel wire rope retractors (102) are respectively installed on both sides of the inner wall of the pile leg (4), each steel wire rope retractor (102) is provided with a steel wire rope (103), a GIS system underwater laser scanner (3) is arranged on the steel wire rope (103), and a camera (101) is installed on the side of the GIS system underwater laser scanner (3); The image acquisition device (1) is connected to the database by signal, and the database is connected to the central control machine by signal; The GIS system underwater laser scanner (3) is connected to the central control machine by signal.

2. A visual jack-up platform applied to truss-type pile legs according to claim 1, characterized in that: The image acquisition device (1) is used to monitor the deformation of the internal structure of the pile leg, capture seabed information, and shoot the rope disorder of the retractor, and transmit the shooting picture to the central control machine; The distributed optical fiber sensor detection device (2) is used to monitor the main stress points of the pile legs (4) during the pile standing process, and send the monitoring parameters to the central control machine; The GIS system underwater laser scanner (3) is used to read seabed surface structure information and soil quality information, and send the acquired information to the central control machine.

3. The visual self-elevating platform applied to truss-type pile legs according to claim 2, characterized in that: The camera (101) also includes a device for measuring the depth of the pile leg (4) entering the mud in real time according to the scale lines of the pile leg (4); The distributed optical fiber sensor detection device (2) also includes detecting the total load of the pile leg; The GIS system underwater laser scanner (3) also includes scanning the status of the pile legs (4) and sending the information to the central control machine.

4. The visual jack-up platform applied to truss-type pile legs according to claim 2, characterized in that: The database is set in the central control computer, and after learning a large amount of data in combination with a neural network, an expert database is formed by analyzing and summarizing, and the target seabed soil composition and the untidy rope of the retractor are analyzed and diagnosed.

5. The visual jack-up platform applied to truss-type pile legs according to claim 1, characterized in that: The steel wire rope (103) is U-shaped, the GIS system underwater laser scanner (3) is arranged at the lower end of the U-shaped steel wire rope (103), and the steel wire rope retractor (102) is installed at the inner upper end of the pile leg (4).

6. The visual jack-up platform applied to truss-type pile legs according to claim 5, characterized in that: The plurality of distributed optical fiber sensor detection devices (2) are evenly distributed on the inner side of the pile leg (4).

7. The visual jack-up platform applied to truss-type pile legs according to claim 6, characterized in that: The image acquisition device (1) comprises a plurality of photographing devices, and all the photographing devices are evenly arranged on the steel wire rope (103).

8. A method for using the visualized self-elevating platform applied to truss-type pile legs as claimed in claim 1, characterized in that: The method for using the visualized jack-up platform applied to the truss-type pile legs comprises the following steps: The first step is to fix the image acquisition device (1) on the pile leg (4), and then connect the camera (101) responsible for distance measurement to the pile leg (4) through a steel wire rope (4), and install a steel wire rope retractor (102) on the top of the pile leg (4); Step 2: Start the pile leg (4). During the descent of the pile leg (4), the brake pad of the wire rope retractor (4) is released and the camera (101) starts to be lowered. Its speed is kept the same as the descent speed of the pile leg (4). At this time, the ranging camera (101) and the seabed scanner are lowered along with the pile leg (4). When the preset distance from the seabed is measured, the brake pad of the wire rope retractor (4) is closed and the camera (101) is fixed to take pictures of the seabed. Multiple pictures in the descent diagram are obtained and the pictures are sent to the central control machine. Step 3: The distributed optical fiber sensor detection device (2) monitors the stress point during the descent of the pile leg (4), obtains the detection parameters, and then sends the monitoring parameters to the central control machine; In the fourth step, the central control machine analyzes and processes the shooting images and detection parameters to obtain processing results, and makes an interactive virtual seabed real-scene animation based on the processing results. The pile pulling operator performs the pile pulling operation based on the virtual seabed real-scene animation.

9. The method for using a visual jack-up platform applied to truss-type pile legs according to claim 8, characterized in that: In the fourth step, the central control machine analyzes and processes the captured images and detection parameters to obtain the following processing results: first, the central control machine uses the convolutional neural network model to process and learn the image data, and trains and identifies the various types of soil images taken. Since the database system is connected to the camera data, the current soil type is identified through the database system based on the captured images, and the identification results are provided to the pile operator to determine whether the conditions for entering the mud are met.

10. The method for using a visual jack-up platform applied to truss-type pile legs according to claim 9, characterized in that: In the fourth step, an interactive virtual seabed real scene animation is produced according to the processing result, and the interactive virtual seabed real scene animation includes a two-dimensional animation and a three-dimensional animation.

Images