CN118224549A - Complex pipeline leakage point detection and positioning method and system based on augmented reality - Google Patents

Abstract

The invention relates to a complex pipeline leakage point detection and positioning method and system based on augmented reality, which belong to the technical field of digital twinning, and the method comprises the following steps: step 1: mapping pipeline live-action composition; step 2: marking the angular point position information of the corner part of the whole pipeline; step 3: monitoring in real time, and capturing leakage point signals and leakage point length information; step 4: and determining the position of the leakage point based on the leakage point length information, the starting point position coordinates and the ending point position coordinates of the leakage pipe section, and the starting point length information and the ending point length information of the leakage pipe section. The invention provides instant and accurate leakage information for detection personnel through integrating a high-precision sensor, image recognition, data analysis and advanced visualization technology, thereby shortening the detection period, reducing the resource consumption, effectively preventing potential safety hazards, not only remarkably improving the detection efficiency, but also realizing comprehensive monitoring and maintenance of a pipeline system in a complex environment.

Description

A complex pipeline leak detection and positioning method and system based on augmented reality

Technical Field

The present invention relates to the field of digital twin technology, and in particular to a method and system for detecting and locating leaks in complex pipelines based on augmented reality.

Background technique

In modern industrial and urban infrastructure, pipeline systems are key components for transmitting energy and water resources, and their operational safety and stability are of vital importance. However, over time and under the influence of environmental factors, pipelines may corrode, wear, or leak due to external impacts, which not only wastes resources, but may also cause serious safety and environmental accidents. Especially for irregular pipelines, due to their complex structure and diverse installation environments, manual inspections are often required based on the leak location prompts when detecting leak points. However, when faced with large-scale, complex pipeline networks, the efficiency is low and the accuracy is limited. Therefore, it has become an inevitable trend to develop new technologies to meet this challenge.

In recent years, with the rapid development of augmented reality technology, its application in the field of industrial inspection and maintenance has shown great potential. Augmented reality technology can superimpose virtual information on the real environment in real time, realize the seamless integration of virtual and reality, and provide users with an intuitive and interactive operation interface. Applying augmented reality technology to pipeline leak detection can help inspectors intuitively identify complex structures and quickly locate potential leak sources.

Based on the above background, an augmented reality-based complex pipeline leakage detection and positioning method and system came into being.

Summary of the invention

The purpose of the present invention is to provide a method and system for detecting and locating leaks in complex pipelines based on augmented reality. The method and system are used to realize comprehensive monitoring and maintenance of pipeline systems in complex environments. The method and system aims to provide inspectors with instant and accurate leakage information by integrating high-precision sensors, image recognition, data analysis and advanced visualization technology, thereby shortening the detection cycle, reducing resource consumption, and effectively preventing potential safety hazards.

In a first aspect, the present invention provides a method for detecting and locating leaks in a complex pipeline based on augmented reality, comprising the following steps:

Step 1: Map the pipeline real scene composition;

Step 2: Mark the corner point position information of the entire pipeline corner;

Step 3: Real-time monitoring to capture the leakage point signal and leakage point length information;

Step 4: Based on the obtained leakage point length information, lock the leakage point location coordinates, including:

Step 4.1: Based on the corner point position information of the pipeline marked in step 2, calculate the number of straight pipe sections of the pipeline and the length of each straight pipe section;

Step 4.2: Based on the leakage point length information obtained in step 3 and the length of each straight pipe section obtained in step 4.1, determine the straight pipe section where the leakage point is located and mark the straight pipe as a leakage pipe section;

Step 4.3: Obtain the starting point length information and the ending point length information of the leaking pipe section respectively;

Step 4.4: Determine the location of the leakage point based on the leakage point length information, the starting point position coordinates and the ending point position coordinates of the leakage pipe section, and the starting point length information and the ending point length information of the leakage pipe section.

Furthermore, the pipeline in step 1 is a complex pipeline consisting of n straight pipes and having n-1 corner parts.

Furthermore, the leakage point length information in step 3 refers to the length distance between the leakage point and the starting zero point of the entire pipeline.

Furthermore, the specific method of step 4.1 is as follows:

Obtain and traverse the position information of all corner points marked in step 2, and calculate the distance between adjacent corner points to obtain the number n of straight pipe sections constituting the entire pipeline and the length d of each straight pipe section. The formula is:

Among them, d represents the distance between two adjacent corner points, that is, the length of the straight tube between two adjacent corner points, (x1, y1, z1) is the position coordinate of the starting point of the straight tube, and (x2, y2, z2) is the position coordinate of the ending point of the straight tube.

Furthermore, the specific method of step 4.2 is as follows:

The lengths d of the n straight pipes obtained in step 4.1 are added one by one in the order of pipeline connection, and the obtained sum is compared with the length information of the leakage point to determine in which straight pipe section of the entire pipeline the leakage point is located, and the straight pipe is marked as the leakage pipe section.

Furthermore, in step 4.4, based on the leakage point length information, the starting point position coordinates and the ending point position coordinates of the leakage pipe section, and the starting point length information and the ending point length information of the leakage pipe section, the position information of the leakage point is calculated by the following formula:

PosC=((T-A)(PosB-PosA))/(B-A)+PosA;

Among them, PosC is the location information of the leakage point, T is the length information of the leakage point, A and B are the starting point length information and the ending point length information of the leakage pipe section respectively, and PosA and PosB are the starting point position coordinates and the ending point position coordinates of the leakage pipe section respectively.

Furthermore, after locking the leak point location coordinates in step 4, the following steps may also be included:

Step 5: Graded warning;

The potential impact is determined based on the leakage location, the leakage level is automatically classified, and a graded alarm is triggered for emergency reminders.

Furthermore, after the graded warning in step 5, the following steps may also be included:

Step 6: Precise maintenance of navigation guidance;

Relying on the intuitive navigation and interactive guides provided by augmented reality technology, maintenance personnel can quickly reach the leak point and work efficiently according to the best repair plan recommended by the system, ensuring that the pipeline system quickly returns to a safe operating state.

In a second aspect, the present invention provides a complex pipeline leak detection and positioning system based on augmented reality, comprising the following functional modules:

A mapping module is used to map the pipeline real scene composition;

Corner point marking module, used to mark the corner point position information of the entire pipeline corner part;

Monitoring module, used for real-time monitoring, capturing leakage point signals and leakage point length information;

The leakage point positioning module is used to lock the leakage point location coordinates based on the obtained leakage point length information; it specifically includes the following submodules:

The straight pipe length calculation submodule is used to calculate the number of straight pipe sections and the length of each straight pipe section based on the marked corner point position information of the pipeline;

A leakage point section determination submodule is used to determine the straight pipe section where the leakage point is located and mark the straight pipe as a leakage pipe section based on the leakage point length information and the length of each straight pipe section;

The leaking pipe section length acquisition submodule is used to respectively acquire the starting point length information and the ending point length information of the leaking pipe section;

The leakage point location calculation submodule is used to determine the leakage point location based on the leakage point length information, the starting point location coordinates and the ending point location coordinates of the leakage pipe section, and the starting point length information and the ending point length information of the leakage pipe section.

Compared with the prior art, the present invention has the following beneficial effects:

1. Augmented reality technology can directly superimpose virtual information in the operator's field of view, allowing inspectors to intuitively see the actual layout of the pipeline system and the location of potential leaks. This greatly improves the intuitiveness and real-time feedback capabilities of detection, allowing operators to quickly understand the on-site conditions and respond.

2. Augmented reality technology allows remote monitoring and analysis, reducing the need for inspectors to enter dangerous or hard-to-reach areas, thereby improving safety. For example, operators can view and guide maintenance operations through augmented reality headsets from a safe location, avoiding direct contact with potentially harmful materials or environments.

3. For operators, augmented reality technology provides a new work experience, making complex inspection tasks more interesting and challenging, and helping to improve job satisfaction and team collaboration.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of a method for detecting leakage points in complex pipelines based on augmented reality;

FIG2 is a structural diagram of a complex pipeline leakage point detection system based on augmented reality.

Detailed ways

The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

Embodiment 1

This embodiment provides a method for detecting and locating leaks in a complex pipeline based on augmented reality. The method flow is shown in FIG1 and includes the following steps:

Step 1: Map the pipeline real scene composition;

Image recognition technology is used to comprehensively scan and analyze the complex environment in which the pipeline is located, and a delicate and realistic virtual space scene is constructed. The pipeline in this embodiment is a complex pipeline composed of n straight pipes and having n-1 corner parts.

Step 2: Mark the position information of the pipeline corner points;

Mark the corner point position information of the corner parts involved in the entire pipeline system to provide a basis for the calculation of leakage points in subsequent steps.

Step 3: Monitor and obtain the length information of the leakage point;

By integrating a highly sensitive sensor network, the operating data of the pipeline system is continuously collected. When a leak occurs at a certain point in the pipeline, the length distance information of the leak point relative to the starting zero point of the entire pipeline is sent to the data processing program of the server in the form of a data stream through the transmission protocol. The server then sends the data information to the system.

Step 4: Locate the leak point coordinates; this is accomplished through the following specific steps:

Step 4.1: Find the length of each straight section of the pipeline;

The calculation is performed based on the leakage point length information sent by the server. First, the position information of all the corner points of the pipeline marked in step 2 is obtained. At the same time, the position information of all the corner points of the pipeline is traversed, and the distance between adjacent corner points is calculated to obtain the number of straight pipe sections n constituting the entire pipeline and the length d of each straight pipe section. The formula is:

Among them, d represents the distance between two adjacent corner points, that is, the length of the straight tube between two adjacent corner points, (x1, y1, z1) is the position coordinate of the starting point of the straight tube, and (x2, y2, z2) is the position coordinate of the ending point of the straight tube;

Step 4.2: Determine the straight pipe section where the leak is located;

The lengths d of the n straight pipes obtained in step 4.1 are added one by one in the order of pipeline connection, and the obtained sum is compared with the leakage point length information to determine in which straight pipe section of the entire pipeline the leakage point is located, and the straight pipe is marked as the leakage pipe section; for example, the leakage point length is 60m, the number of straight pipe sections n is 7, the length of the first straight pipe section is 20m, and the length of the second straight pipe section is 30m. At this time, the length of the first straight pipe section and the second straight pipe section is added to 50m, which can be compared with the leakage point length 60m to determine that the leakage point occurs in the third straight pipe section;

Step 4.3: Obtain the starting point length and the ending point length of the leaking pipe section respectively;

Step 4.4: Calculate the leakage point location information;

Based on the leakage point length information, the starting point position coordinates and the ending point position coordinates of the leakage pipe section, and the starting point length information and the ending point length information of the leakage pipe section, the location information of the leakage point is calculated by the following formula:

PosC=((T-A)(PosB-PosA))/(B-A)+PosA;

Among them, PosC is the location information of the leakage point, T is the length information of the leakage point, A and B are the starting point length information and the ending point length information of the leakage pipe section respectively, and PosA and PosB are the starting point position coordinates and the ending point position coordinates of the leakage pipe section respectively.

Step 5: Graded warning;

The potential impact is determined based on the leak location, and the leak level is automatically classified. A graded alarm is triggered for emergency reminders.

Step 6: Precise maintenance of navigation guidance;

Relying on the intuitive navigation and interactive guides provided by augmented reality technology, the maintenance team can quickly reach the leak point and work efficiently according to the best repair plan recommended by the system, ensuring that the pipeline system is quickly restored to a safe operating state.

Embodiment 2

This embodiment relates to a complex pipeline leak detection and positioning system based on augmented reality, and its system structure is shown in FIG2 , which mainly includes the following functional modules:

A mapping module is used to map the pipeline real scene composition;

Corner point marking module, used to mark the corner point position information of the entire pipeline corner part;

Monitoring module, used for real-time monitoring, capturing leakage point signals and leakage point length information;

The leakage point positioning module is used to lock the leakage point location coordinates based on the obtained leakage point length information; it specifically includes the following submodules:

The straight pipe length calculation submodule is used to calculate the number of straight pipe sections and the length of each straight pipe section based on the marked corner point position information of the pipeline;

A leakage point section determination submodule is used to determine the straight pipe section where the leakage point is located and mark the straight pipe as a leakage pipe section based on the leakage point length information and the length of each straight pipe section;

The leaking pipe section length acquisition submodule is used to respectively acquire the starting point length information and the ending point length information of the leaking pipe section;

The leakage point location calculation submodule is used to determine the leakage point location based on the leakage point length information, the starting point location coordinates and the ending point location coordinates of the leakage pipe section, and the starting point length information and the ending point length information of the leakage pipe section.

It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation modes of the present invention may still be modified or replaced by equivalents, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be included in the protection scope of the present invention.

Claims (9)

1. A method for detecting and locating leaks in complex pipelines based on augmented reality, characterized by comprising the following steps: Step 1: Map the pipeline real scene composition; Step 2: Mark the corner point position information of the entire pipeline corner; Step 3: Real-time monitoring to capture the leakage point signal and leakage point length information; Step 4: Based on the obtained leakage point length information, lock the leakage point location coordinates; specifically including: Step 4.1: Based on the corner point position information of the pipeline marked in step 2, calculate the number of straight pipe sections of the pipeline and the length of each straight pipe section; Step 4.2: Based on the leakage point length information obtained in step 3 and the length of each straight pipe section obtained in step 4.1, determine the straight pipe section where the leakage point is located and mark the straight pipe as a leakage pipe section; Step 4.3: Obtain the starting point length information and the ending point length information of the leaking pipe section respectively; Step 4.4: Determine the location of the leakage point based on the leakage point length information, the starting point position coordinates and the ending point position coordinates of the leakage pipe section, and the starting point length information and the ending point length information of the leakage pipe section. 2. A method for detecting and locating leaks in complex pipelines based on augmented reality as described in claim 1, characterized in that the pipeline in step 1 is a complex pipeline composed of n straight pipes and having n-1 corner parts. 3. A method for detecting and locating leaks in complex pipelines based on augmented reality as described in claim 1, characterized in that the leak point length information in step 3 refers to the length distance between the leak point and the starting zero point of the entire pipeline. 4. A method for detecting and locating leaks in complex pipelines based on augmented reality as claimed in claim 1, characterized in that the specific method of step 4.1 is as follows: Obtain and traverse the position information of all corner points marked in step 2, and calculate the distance between adjacent corner points to obtain the number of straight pipe sections n and the length d of each straight pipe section constituting the entire pipeline. The formula is: Among them, d represents the distance between two adjacent corner points, that is, the length of the straight tube between two adjacent corner points, (x1, y1, z1) is the position coordinate of the starting point of the straight tube, and (x2, y2, z2) is the position coordinate of the ending point of the straight tube. 5. A method for detecting and locating leaks in complex pipelines based on augmented reality as claimed in claim 4, characterized in that the specific method of step 4.2 is as follows: The lengths d of the n straight pipes obtained in step 4.1 are added one by one in the order of pipeline connection, and the obtained sum is compared with the length information of the leakage point to determine in which straight pipe section of the entire pipeline the leakage point is located, and the straight pipe is marked as the leakage pipe section. 6. A method for detecting and locating leaks in complex pipelines based on augmented reality as claimed in claim 5, characterized in that in said step 4.4, the location information of the leak is calculated by the following formula based on the leak length information, the starting point position coordinates and the ending point position coordinates of the leaking pipe section, and the starting point length information and the ending point length information of the leaking pipe section: PosC=((T-A)(PosB-PosA))/(B-A)+PosA; Among them, PosC is the location information of the leakage point, T is the length information of the leakage point, A and B are the starting point length information and the ending point length information of the leakage pipe section respectively, and PosA and PosB are the starting point position coordinates and the ending point position coordinates of the leakage pipe section respectively. 7. The method for detecting and locating leakage points in complex pipelines based on augmented reality according to claim 1, characterized in that after locking the leakage point position coordinates in step 4, it also includes: Step 5: Graded warning; The potential impact is determined based on the leakage location, the leakage level is automatically classified, and a graded alarm is triggered for emergency reminders. 8. The method for detecting and locating leaks in complex pipelines based on augmented reality according to claim 7, characterized in that after the graded warning in step 5, it further comprises: Step 6: Precise maintenance of navigation guidance; Relying on the intuitive navigation and interactive guides provided by augmented reality technology, maintenance personnel can quickly reach the leak point and work efficiently according to the best repair plan recommended by the system, ensuring that the pipeline system quickly returns to a safe operating state. 9. A complex pipeline leak detection and positioning system based on augmented reality, used to implement the method described in any one of claims 1 to 8, characterized in that it includes the following functional modules: A mapping module is used to map the pipeline real scene composition; Corner point marking module, used to mark the corner point position information of the entire pipeline corner part; Monitoring module, used for real-time monitoring, capturing leakage point signals and leakage point length information; The leakage point positioning module is used to lock the leakage point location coordinates based on the obtained leakage point length information; it specifically includes the following submodules: The straight pipe length calculation submodule is used to calculate the number of straight pipe sections and the length of each straight pipe section based on the marked corner point position information of the pipeline; A leakage point section determination submodule is used to determine the straight pipe section where the leakage point is located and mark the straight pipe as a leakage pipe section based on the leakage point length information and the length of each straight pipe section; The leaking pipe section length acquisition submodule is used to respectively acquire the starting point length information and the ending point length information of the leaking pipe section; The leakage point location calculation submodule is used to determine the leakage point location based on the leakage point length information, the starting point location coordinates and the ending point location coordinates of the leakage pipe section, and the starting point length information and the ending point length information of the leakage pipe section.