Gas pipeline pipe jacking construction visualization system and method
By using monitoring cameras, laser transmitters, and visualization software in pipe jacking construction, the problem of the inability to directly observe the position and path during construction was solved, realizing visualization and safety monitoring of the construction process and improving construction accuracy and safety.
Patent Information
- Application Number
- CN202411345603.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-25
- Publication Date
- 2025-01-07
AI Technical Summary
During pipe jacking construction, the soil obstructs the view, making it impossible to directly observe the position and path during construction, which affects the accuracy and safety of the construction.
By employing equipment such as surveillance cameras, laser transmitters, hydraulic jacks, distributed fiber optic sensors, and displacement sensors, combined with visualization software and a cloud platform for pipe jacking construction, the system enables visualized monitoring and data processing of the construction process, as well as real-time deviation correction and safety monitoring.
It enables visualization of the pipe jacking construction process, improves construction accuracy and safety, and ensures the accuracy of the construction path and the protection of the surrounding environment.
Smart Images
Figure CN119267640A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of gas pipeline jacking construction, and in particular to a gas pipeline jacking construction visualization system and method. Background Art
[0002] Gas pipelines are usually excavated and buried using the open-cut method. However, when encountering obstacles such as railways, roads, rivers or buildings during construction, it is necessary to use the jacking method to pass under the obstacles. However, during the construction of the jacking pipe, due to the obstruction of the view of the soil, the position and jacking path of the jacking pipe during the construction process cannot be directly observed, and the impact of the jacking pipe on the surrounding environment cannot be predicted, which seriously affects the accuracy and safety of the jacking pipe construction. Summary of the invention
[0003] In view of the above-mentioned prior art, the present invention proposes a gas pipeline jacking construction visualization system and method to solve the problems of the inability to directly observe the construction process, the inability to accurately locate the pipeline path, and the inability to monitor the surrounding environment and the internal force of the pipeline during jacking construction.
[0004] The present invention provides a gas pipeline jacking construction visualization system, comprising:
[0005] The first monitoring camera is located at the rear of the working pit and is used to photograph the working conditions in the working pit. The photographs taken are recognized by the trained code program to accurately identify the pipelines, mechanical equipment and construction personnel in the working pit.
[0006] The second monitoring camera is located in front of the working pit and is used to directly shoot the length of the pipe inserted into the soil at the ground level of the working pit;
[0007] The laser transmitter is located at the rear side of the working pit and is used to emit laser to the center of the pipeline. The laser is projected onto the photosensitive sensor of the phototarget arranged at the front end of the first section of the pipeline. The position where the laser hits the phototarget is obtained based on the signal received by the photosensitive sensor, and the deviation of the pipeline is calculated.
[0008] Four hydraulic jacks are arranged centrally on the rear reaction wall of the working well in the four directions of up, down, left, and right along the pipe wall to control the direction of the pipe jacking;
[0009] Distributed fiber optic sensors: a distributed fiber optic sensor is arranged circumferentially at the front end of each section of the pipeline, and four distributed fiber optic sensors are arranged axially in the center of the pipeline in four directions, to monitor the internal force of the pipeline;
[0010] Several displacement sensors are installed on the ground of the obstacle to monitor whether the jacking pipe has any impact on the surrounding environment during the process of passing through;
[0011] Pipe jacking construction visualization software, used to receive signals from the first monitoring camera, the second monitoring camera, the light sensor, the distributed optical fiber sensor and the displacement sensor, process the received data, and convert the received data into a construction progress visualization model screen and key data display in a model update and key data update manner;
[0012] The pipe jacking construction cloud platform is used to receive the data processed by the pipe jacking construction visualization software, and display the pictures and data that need to be displayed during the construction on the cloud platform for the project command center and on-site construction personnel to view.
[0013] Preferably, the training process of the code program includes: collecting past pipe jacking construction photos and downloading a large number of construction photos in pipe jacking working pits from the Internet to form training samples, and through training, being able to correctly identify pipelines and mechanical equipment and their positions, as well as the positions of construction personnel and the colors of the safety helmets they wear.
[0014] The present invention also proposes a gas pipeline jacking construction visualization method based on the gas pipeline jacking construction visualization system, comprising the following steps:
[0015] Step 1: Make models of pipes and mechanical equipment in advance according to the specifications and dimensions in the construction plan, and make models of people according to the different colors of helmets.
[0016] Step 2: Dig the working well and the receiving well, place the first monitoring camera, the second monitoring camera, the laser transmitter, the hydraulic jack and the displacement sensor in the correct working position, put the first section of the pipeline in place, and place the distributed optical fiber sensor and the optical target in the pipeline;
[0017] Step 3: The construction workers carry out construction according to the normal construction process. At the same time, the first monitoring camera transmits the captured images to the pipe jacking construction visualization software of the control center. The trained code program recognizes the mechanical equipment and construction workers in the current working shaft.
[0018] Step 4: The second monitoring camera takes a picture of the pipeline being pushed in from a bird's-eye view. The length and width of the pipeline in the image are identified through preliminary training. The length of the remaining part of the pipeline that has not entered the soil is x1 and the width is y1 in the image. According to the actual length x0 and width y0 of the pipeline, the length of the part of the pipeline that has entered the soil is calculated. Every time a section of pipeline is lifted and installed, the software recognizes and loads the new pipeline model.
[0019] Step 5: The pipeline offset is obtained through the laser transmitter and light sensor, the ground displacement data is obtained through the displacement sensor, and the pipeline internal force data is obtained through the distributed optical fiber sensor. The jacking construction visualization software sends the model information and data information to the jacking construction cloud platform for simultaneous monitoring by the project command center and on-site construction personnel.
[0020] Preferably, in step 2, the laser transmitter is turned on to check whether the laser is aligned with the center of the optical target. If not, the positions of the laser transmitter and the pipeline are detected to ensure the correct direction.
[0021] Preferably, in step 3, the first monitoring camera transmits monitoring image data once every ten seconds, updates the model position and posture of the mechanical equipment and construction personnel according to the identified mechanical equipment and construction personnel, and dynamically simulates the current construction process in real time. If the position and posture of the mechanical equipment are abnormal, or the number and position of the construction personnel are abnormal, the jacking construction visualization software will issue an alarm, and the on-site staff will immediately stop work and check upon receiving the alarm.
[0022] Preferably, in step 3, the displacement information of the hydraulic jack is monitored by the image information transmitted by the first monitoring camera. According to the maximum deflection limit of reinforced concrete flexural members in the standard specification, if the displacement length of the hydraulic jack is Δl and the length of the reaction wall is d, when Δl / d>4‰, an alarm is issued, the work is stopped and the reaction wall is inspected and repaired, and the construction is resumed after it passes the inspection.
[0023] Preferably, in step 4, the second monitoring camera transmits monitoring image data every ten seconds to update the model information and simulate the situation of the pipeline moving forward in the soil.
[0024] Preferably, in step 5, the light sensor on the light target continuously receives the signal from the laser transmitter. When the pipeline deviates during the jacking process, the offset (Δx, Δy) of the pipeline on the light target is obtained through the signal transmitted by the light sensor. If the inner diameter of the pipeline is R, the thrust of the four hydraulic jacks in normal construction is V A =V B =V C =V D = V0, when deviation occurs, the correction effect is achieved by changing the thrust of the four hydraulic jacks. The specific adjustment value is Where k is the empirical coefficient, and its value is 0.1-0.2.
[0025] Preferably, in step 5, the displacement sensor on the ground receives a displacement signal Δx in the vertical direction. If Δx>0, it means the ground is uplifted, so the top force is reduced to ensure force balance; if Δx<0, it means the ground is subsiding, so the construction is stopped immediately and the subsidence is repaired.
[0026] Preferably, in step 5, the distributed optical fiber sensor monitors the radial and axial stress magnitudes σ inside the pipeline. i (i=1,2,…,n), use Pandas to preprocess the anomalies, missingness, and duplication in the data, and obtain the maximum value σ in the stress max , compare it with the allowable stress σ0 of the material. If σ max >σ0, a warning is issued and the operation is stopped to check the cause.
[0027] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a gas pipeline jacking construction visualization system and method, which can realize the visualization of the jacking construction process, and can establish a complete jacking construction safety monitoring system to realize the monitoring and correction of the jacking route, as well as the safety monitoring of the surrounding environmental impact, thereby ensuring the accuracy of the pipeline jacking process and the safety of the jacking construction process. BRIEF DESCRIPTION OF THE DRAWINGS
[0028] Figure 1 It is a structural schematic diagram of a gas pipeline jacking construction visualization system in an embodiment of the present invention.
[0029] Figure 2 It is a schematic diagram of the flow of a visualization method for gas pipeline jacking construction in an embodiment of the present invention.
[0030] Figure 3 Schematic diagram of four hydraulic jacks and optical target offset points in an embodiment of the present invention. DETAILED DESCRIPTION
[0031] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below with reference to specific diagrams.
[0032] Embodiment: A visualization system for gas pipeline jacking construction, such as Figure 1-3 As shown, including:
[0033] The first monitoring camera is arranged on the ground behind the working pit, and is used to photograph the working conditions in the entire working pit, and recognize the photographed photos through the trained code program, and accurately recognize the pipes, mechanical equipment and construction personnel in the current working pit; the training process of the code program includes: collecting past pipe jacking construction photos and downloading a large number of construction photos in the pipe jacking working pit from the Internet to form training samples, and obtaining the ability to correctly recognize the pipes and mechanical equipment and their positions and postures, as well as the positions of the construction personnel and the colors of the safety helmets they wear through training;
[0034] The second monitoring camera is located directly above the front of the working pit and is used to vertically shoot the length of the pipeline inserted into the soil at the ground of the working pit;
[0035] The laser transmitter is installed on the rear foundation pit in the working shaft and is used to emit laser to the center of the pipeline. The laser is projected onto the photosensitive sensor of the phototarget arranged at the front end of the first section of the pipeline. The position where the laser hits the phototarget is obtained according to the signal received by the photosensitive sensor, and the deviation of the pipeline is calculated;
[0036] Four hydraulic jacks are arranged centrally on the rear reaction wall of the working well along the pipe wall in four directions: up, down, left, and right. The thrust of each hydraulic jack can be adjusted to control the direction of the pipe jacking.
[0037] Distributed fiber optic sensors: a distributed fiber optic sensor is arranged circumferentially at the front end of each section of the pipeline, and four distributed fiber optic sensors are arranged axially in the center of the pipeline in four directions, to monitor the internal force of the pipeline;
[0038] Several displacement sensors are installed on the ground at sensitive locations under railways, rivers, roads and other obstacles to monitor whether the jacking pipe has any impact on the surrounding environment during the process of passing through;
[0039] Pipe jacking construction visualization software, used to receive signals from the first monitoring camera, the second monitoring camera, the light sensor, the distributed optical fiber sensor and the displacement sensor, process the received data, and convert the received data into a construction progress visualization model screen and key data display in a model update and key data update manner;
[0040] The pipe jacking construction cloud platform is used to receive the data processed by the pipe jacking construction visualization software, and display the pictures and data that need to be displayed during the construction on the cloud platform for the project command center and on-site construction personnel to view.
[0041] The gas pipeline jacking construction visualization method of the gas pipeline jacking construction visualization system comprises the following steps:
[0042] Step 1: Make models of pipes and mechanical equipment in advance according to the specifications and dimensions in the construction plan, and make models of people according to the different colors of helmets;
[0043] Step 2: Dig a working well and a receiving well, place the first monitoring camera, the second monitoring camera, the laser transmitter, the hydraulic jack and the displacement sensor at the correct working position, put the first section of the pipeline in place, and place the distributed optical fiber sensor and the light target in the pipeline, turn on the laser transmitter, and check whether the laser is aligned with the center of the light target. If not, check the position of the laser transmitter and the pipeline to ensure the correct direction;
[0044] Step 3: The construction workers carry out construction according to the normal construction process. At the same time, the first monitoring camera transmits the captured images to the top-pipe construction visualization software of the control center. The trained code program recognizes the current mechanical equipment and construction personnel in the working well. The first monitoring camera transmits monitoring image data every ten seconds. According to the recognized mechanical equipment and construction personnel, the model position and posture of the mechanical equipment and construction personnel are updated to dynamically simulate the current construction process in real time. If the position and posture of the mechanical equipment are abnormal, or the number and position of the construction personnel are abnormal, the top-pipe construction visualization software will issue an alarm. The on-site staff will immediately stop work and check after receiving the alarm.
[0045] The displacement information of the hydraulic jack is monitored through the image information transmitted by the first monitoring camera. According to the maximum deflection limit of reinforced concrete bending members in the standard specification, if the displacement length of the hydraulic jack is Δl and the length of the reaction wall is d, when Δl / d>4‰, an alarm is issued, and the reaction wall is stopped for repair. Construction is resumed after it passes the inspection, so as to realize the safety monitoring of the working well;
[0046] Step 4: The second monitoring camera takes a picture of the pipeline being pushed in from a bird's-eye view. The length and width of the pipeline in the image are identified through preliminary training. The length of the remaining part of the pipeline that has not entered the soil is x1 and the width is y1 in the image. According to the actual length x0 and width y0 of the pipeline, the length of the part of the pipeline that has entered the soil is calculated. Whenever a section of pipeline is lifted and a new section of pipeline is hoisted into place, the software identifies and loads a new section of pipeline model. The second monitoring camera transmits monitoring image data every ten seconds to update the model information and simulate the situation of the pipeline moving forward in the soil.
[0047] Step 5: Obtain the pipeline offset through the laser transmitter and light sensor, provide the displacement sensor to obtain the ground displacement data, obtain the pipeline internal force data through the distributed optical fiber sensor, and the jacking construction visualization software sends the model information and data information to the jacking construction cloud platform for simultaneous monitoring by the project command center and on-site construction personnel;
[0048] The light sensor on the light target continuously receives the signal from the laser transmitter. When the pipeline deviates during the jacking process, the offset (Δx, Δy) of the pipeline on the light target is obtained through the signal transmitted by the light sensor. If the inner diameter of the pipeline is R, the thrust of the four hydraulic jacks in normal construction is V. A =V B =V C =V D = V0, when deviation occurs, the correction effect is achieved by changing the thrust of the four hydraulic jacks. The specific adjustment value is
[0049] Where k is an empirical coefficient, with a value of 0.1-0.2, to achieve pipeline jacking path correction;
[0050] The displacement sensors on the surrounding ground receive the vertical displacement signal Δx. If Δx>0, it means the ground is uplifted, so the top force is reduced to ensure force balance. If Δx<0, it means the ground is subsiding, then the construction is stopped immediately and the subsidence is repaired to achieve the monitoring of the impact on the surrounding environment.
[0051] Distributed optical fiber sensors monitor the radial and axial stresses inside the pipeline σ i (i=1,2,…,n), use Pandas to preprocess the anomalies, missingness, and duplication in the data, and obtain the maximum value σ in the stress max , compare it with the allowable stress σ0 of the material. If σ max >σ0, a warning is issued and the operation is stopped to check the cause in order to monitor the stress of the pipeline structure.
[0052] This embodiment can visualize the pipe jacking construction process through multi-sensor data integration, forming a complete set of safety monitoring system, improving the accuracy of pipe jacking construction, and ensuring the safety of pipe jacking construction.
[0053] The above are only implementation modes of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure made using the contents of the present invention's specification and drawings, directly or indirectly used in other related technical fields, are also within the patent protection scope of the present invention.
Claims
1. A visualization system for gas pipeline jacking construction, characterized in that: include: The first monitoring camera is located at the rear of the working pit and is used to photograph the working conditions in the working pit. The photographs taken are recognized by the trained code program to accurately identify the pipelines, mechanical equipment and construction personnel in the working pit. The second monitoring camera is located in front of the working pit and is used to directly shoot the length of the pipe inserted into the soil at the ground level of the working pit; The laser transmitter is located at the rear side of the working pit and is used to emit laser to the center of the pipeline. The laser is projected onto the photosensitive sensor of the phototarget arranged at the front end of the first section of the pipeline. The position where the laser hits the phototarget is obtained based on the signal received by the photosensitive sensor, and the deviation of the pipeline is calculated. Four hydraulic jacks are arranged centrally on the rear reaction wall of the working well in the four directions of up, down, left, and right along the pipe wall to control the direction of the pipe jacking; Distributed fiber optic sensors: a distributed fiber optic sensor is arranged circumferentially at the front end of each section of the pipeline, and four distributed fiber optic sensors are arranged axially in the center of the pipeline in four directions, to monitor the internal force of the pipeline; Several displacement sensors are installed on the ground of obstacles to monitor whether the jacking pipe has any impact on the surrounding environment during the process of passing through; Pipe jacking construction visualization software, used to receive signals from the first monitoring camera, the second monitoring camera, the light sensor, the distributed optical fiber sensor and the displacement sensor, process the received data, and convert the received data into a construction progress visualization model screen and key data display in a model update and key data update manner; The pipe jacking construction cloud platform is used to receive the data processed by the pipe jacking construction visualization software, and display the pictures and data that need to be displayed during the construction on the cloud platform for the project command center and on-site construction personnel to view.
2. The gas pipeline jacking construction visualization system according to claim 1, characterized in that: The training process of the code program includes: collecting past jacking construction photos and downloading a large number of construction photos in jacking work pits from the Internet to form training samples, and through training, it is possible to correctly identify pipelines and mechanical equipment and their positions, as well as the positions of construction personnel and the colors of the safety helmets they wear.
3. A method for visualizing the construction of a gas pipeline jacking based on the visualization system for the construction of a gas pipeline jacking according to claim 1 or 2, characterized in that: The steps include: Step 1: Make models of pipes and mechanical equipment in advance according to the specifications and dimensions in the construction plan, and make models of people according to the different colors of helmets. Step 2: Dig the working well and the receiving well, place the first monitoring camera, the second monitoring camera, the laser transmitter, the hydraulic jack and the displacement sensor in the correct working position, put the first section of the pipeline in place, and place the distributed optical fiber sensor and the optical target in the pipeline; Step 3: The construction workers carry out construction according to the normal construction process. At the same time, the first monitoring camera transmits the captured images to the pipe jacking construction visualization software of the control center. The trained code program recognizes the mechanical equipment and construction workers in the current working shaft. Step 4: The second monitoring camera takes a picture of the pipeline being pushed in from a bird's-eye view. The length and width of the pipeline in the image are identified through preliminary training. The length of the remaining part of the pipeline that has not entered the soil is x1 and the width is y1 in the image. According to the actual length x0 and width y0 of the pipeline, the length of the part of the pipeline that has entered the soil is calculated. Every time a section of pipeline is lifted and installed, the software recognizes and loads the new pipeline model. Step 5: The pipeline offset is obtained through the laser transmitter and light sensor, the ground displacement data is obtained through the displacement sensor, and the pipeline internal force data is obtained through the distributed optical fiber sensor. The jacking construction visualization software sends the model information and data information to the jacking construction cloud platform for simultaneous monitoring by the project command center and on-site construction personnel.
4. The visualization method for gas pipeline jacking construction according to claim 3, characterized in that: In step 2, the laser transmitter is turned on to check whether the laser is aligned with the center of the optical target. If not, the positions of the laser transmitter and the pipeline are detected to ensure the correct direction.
5. The visualization method for gas pipeline jacking construction according to claim 3, characterized in that: In step 3, the first monitoring camera transmits monitoring image data every ten seconds, updates the model position and posture of the mechanical equipment and construction personnel according to the identified mechanical equipment and construction personnel, and dynamically simulates the current construction process in real time. If the position and posture of the mechanical equipment are abnormal, or the number and position of the construction personnel are abnormal, the jacking construction visualization software will issue an alarm, and the on-site staff will immediately stop work and check after receiving the alarm.
6. The visualization method for gas pipeline jacking construction according to claim 3, characterized in that: In step 3, the displacement information of the hydraulic jack is monitored by the image information transmitted by the first monitoring camera. According to the maximum deflection limit of reinforced concrete flexural members in the standard specification, if the displacement length of the hydraulic jack is Δl and the length of the reaction wall is d, when Δl / d>4%, an alarm is issued, the work is stopped and the reaction wall is inspected and repaired, and the construction is resumed after it passes the inspection.
7. The visualization method for gas pipeline jacking construction according to claim 3, characterized in that: In step 4, the second monitoring camera transmits monitoring image data every ten seconds to update the model information and simulate the situation where the pipeline moves forward in the soil.
8. The visualization method for gas pipeline jacking construction according to claim 3, characterized in that: In step 5, the light sensor on the light target continuously receives the signal from the laser transmitter. When the pipeline deviates during the jacking process, the offset (Δx, Δy) of the pipeline on the light target is obtained through the signal transmitted by the light sensor. If the inner diameter of the pipeline is R, the thrust of the four hydraulic jacks in normal construction is V A =V B =V C =V D = V0, when deviation occurs, the correction effect is achieved by changing the thrust of the four hydraulic jacks. The specific adjustment value is Where k is the empirical coefficient, and its value is 0.1-0.
2.
9. The visualization method for gas pipeline jacking construction according to claim 3, characterized in that: In step 5, the displacement sensor on the ground receives the vertical displacement signal Δx. If Δx>0, it means the ground is uplifted, so the top force is reduced to ensure force balance; if Δx<0, it means the ground is subsiding, so the construction is stopped immediately and the subsidence is repaired.
10. The visualization method for gas pipeline jacking construction according to claim 3, characterized in that: In step 5, the distributed optical fiber sensor monitors the radial and axial stress magnitudes σ inside the pipeline. i (i=1,2,…,n), use Pandas to preprocess the anomalies, missingness, and duplication in the data, and obtain the maximum value σ in the stress max , compare it with the allowable stress σ0 of the material. If σ max >σ0, a warning is issued and the operation is stopped to check the cause.