Shipyard gas pipeline leakage point detection method, system and equipment

Abstract

The invention provides a shipyard gas pipeline leakage point detection method, system and equipment, and the method comprises the steps: firstly collecting the pipeline state data of a shipyard gas pipeline, and analyzing a leakage region of the gas pipeline according to the pipeline state data; meanwhile, according to the three-dimensional model of the gas pipeline, an inspection route of the leakage area is generated, and a work task package is generated and issued. Then the work task package is analyzed, inspection task information in the work task package is obtained, and the inspection task information comprises the leakage area and an inspection route of the leakage area; and carrying out patrol detection on the leakage area according to the patrol route so as to obtain detection information of the leakage area. And finally, analyzing the detection information to obtain a leakage point position and leakage information of the gas pipeline. The accuracy, safety and disposal efficiency of shipyard gas pipeline leakage point detection can be improved.

Description

Technical Field

[0001] The present invention relates to the field of computer-aided kinetic energy management, and in particular to a method, system and equipment for detecting leakage points of gas pipelines in a shipyard. Background Art

[0002] The shipbuilding industry is a large-scale equipment manufacturing industry with strong technological leadership, high industrial correlation, capital, energy intensiveness, and labor intensiveness. Shipyards are large in area, wide in scale, and have complex and diverse energy types. Energy supply is managed uniformly by station buildings, and energy is supplied through elevated or underground pre-buried pipelines. The use of intelligent analysis and drones in shipyards can provide more effective and safer detection of energy leakage points, which not only solves the problem of the wide range, multiple types, and difficult access to some locations in shipyards, but also reduces the safety issues of leakage points.

[0003] The traditional pipeline detection method mainly detects leaks by acquiring changes in pipeline leakage pressure values ​​through data collection, and then estimates the leakage point of the pipeline through calculation based on the threshold of the collected signal. Finally, a drone is used for visual inspection to detect and locate the leakage point at the point where obvious leakage occurs.

[0004] Existing detection methods have the following defects in energy leak detection: only the approximate location information of the leak point is known, and personnel are still required to inspect the area where the leak may occur; the error of visual inspection at night is large, and it is impossible to judge the subtle leak point visually; the environmental information of the leak point is not fully obtained, there is a lack of assessment of on-site safety, and no corresponding disposal plan can be provided. Summary of the invention

[0005] In view of the problems existing in the prior art described above, the present application provides a method, system and device for detecting leakage points of gas pipelines in shipyards, which can improve the accuracy, safety and disposal efficiency of detecting leakage points of gas pipelines in shipyards.

[0006] To achieve the above-mentioned and other related purposes, the present invention provides a method for detecting leakage points of gas pipelines in a shipyard, comprising the following steps:

[0007] Collect pipeline status data of shipyard gas pipelines, analyze the leakage area of ​​gas pipelines based on pipeline status data, generate inspection routes of leakage areas based on the three-dimensional model of gas pipelines, and generate and issue work task packages;

[0008] Parse the work task package and obtain the inspection task information in the work task package. The inspection task information includes the leakage area and the inspection route of the leakage area;

[0009] Conduct patrol inspections on the leaking area according to the inspection route to obtain inspection information of the leaking area;

[0010] The detection information is analyzed to obtain the leakage point location and leakage information of the gas pipeline.

[0011] Optionally, the shipyard gas pipeline leakage point detection method further includes the following steps:

[0012] Send out security alarm signals based on leaked information;

[0013] Generate a repair plan for the leak point based on the leak information;

[0014] Maintenance personnel repair the leak according to the maintenance plan.

[0015] Optionally, after the maintenance plan is generated, the following steps are also included:

[0016] Generate and issue work task packages containing repair tasks according to the maintenance plan;

[0017] Parse the work task package and obtain the repair tasks in the work task package;

[0018] The maintenance personnel obtain the repair task of the leak point and repair the leak point according to the maintenance plan.

[0019] Optionally, the detection information includes visual detection information, sound detection information, infrared detection information of the gas pipeline and concentration detection information of the leaked gas.

[0020] Optionally, the pipeline status data includes pipeline flow data and pipeline pressure data.

[0021] Another aspect of the present invention provides a shipyard gas pipeline leakage point detection system, comprising:

[0022] Intelligent platform, used to collect pipeline status data of shipyard gas pipelines, analyze gas pipeline leakage areas based on pipeline status data, generate inspection routes of leakage areas based on three-dimensional models of gas pipelines, and generate and issue work task packages;

[0023] A task receiving module is used to receive and parse the work task package issued by the intelligent platform to obtain the inspection task information in the work task package. The inspection task information includes the inspection routes of the exposed area and the leakage area;

[0024] The drone is configured to perform patrol inspections along the inspection route to obtain inspection information of the leak area;

[0025] The data analysis module is used to analyze the detection information received from the drone to obtain the leakage point location and leakage information of the gas pipeline.

[0026] Optionally, the drone includes:

[0027] A visual inspection module performs visual inspection on the leakage area to obtain visual inspection information of the gas pipeline;

[0028] A sound detection module performs sound detection on the leakage area to obtain sound detection information of the gas pipeline;

[0029] Infrared detection module, which performs infrared detection on the leakage area to obtain infrared detection information of the gas pipeline;

[0030] The concentration detection module performs concentration detection on the leakage area to obtain concentration detection information of the leaked gas in the gas pipeline.

[0031] Optionally, the intelligent platform includes:

[0032] A data acquisition module, used for collecting pipeline status data of the gas pipeline;

[0033] Pipeline analysis module, used to obtain gas pipeline leakage area based on pipeline status data;

[0034] A positioning module is used to generate an inspection route for the leakage area based on the three-dimensional model of the gas pipeline;

[0035] The task sending module is used to send work task packages to the task receiving module.

[0036] Optionally, the data analysis module includes:

[0037] A visual analysis module, used to obtain and analyze visual inspection information;

[0038] A sound analysis module, used to obtain and analyze sound detection information;

[0039] Infrared analysis module, used to obtain and analyze infrared detection information;

[0040] The concentration analysis module is used to obtain and analyze the concentration detection information of the leaked gas.

[0041] Optionally, the data acquisition module includes:

[0042] A flow detection device, which detects and collects pipeline flow volume data;

[0043] The pressure detection device detects and collects the pressure data of the pipeline.

[0044] Optionally, the shipyard gas pipeline leakage point detection system also includes:

[0045] Safety assessment module, used to obtain environmental information of the leakage point and issue a safety alarm signal based on the environmental information;

[0046] An emergency response module is used to automatically generate a repair plan for the leak point after obtaining the location of the leak point, and send the repair plan to the intelligent platform, which generates and sends a work task package containing the repair task;

[0047] Interaction module: different operators can select work task packages corresponding to their roles through the interaction module according to their different roles.

[0048] Another aspect of the present invention provides a shipyard gas pipeline leakage point detection device, comprising:

[0049] Interaction module, used to select and receive work tasks;

[0050] Display, used to display various data information of the shipyard gas pipeline leakage point detection system;

[0051] Memory for storing computer programs;

[0052] The processor is communicatively connected to the memory and is used to run a computer program so that the terminal executes the shipyard gas pipeline leakage point detection method according to any one of claims 1 to 5.

[0053] As described above, the shipyard gas pipeline leakage point detection system, method and equipment provided by the present invention have at least the following beneficial technical effects:

[0054] The shipyard gas pipeline leakage point detection method of the present invention first collects the pipeline status data of the shipyard gas pipeline, and analyzes the leakage area of ​​the gas pipeline according to the pipeline status data, and generates the inspection route of the leakage area according to the three-dimensional model of the gas pipeline, and generates and issues a work task package. Then the work task package is parsed to obtain the inspection task information in the work task package, and the inspection task information includes the leakage area and the inspection route of the leakage area. Next, the leakage area is patrolled according to the inspection route to obtain the detection information of the leakage area. Finally, the detection information is analyzed to obtain the leakage point location and leakage information of the gas pipeline. It can improve the accuracy, safety and disposal efficiency of the shipyard gas pipeline leakage point detection.

[0055] The shipyard gas pipeline leakage detection system also includes a safety assessment module and an emergency response module. The safety assessment module is used to obtain the environmental information of the leakage point and send out an alarm signal based on the environmental information. The emergency response module is used to automatically recommend a leakage point repair plan after obtaining the leakage point location, which can improve the maintenance efficiency, shorten the energy supply interruption time, and ensure the energy supply for production. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 Shown is a flow chart of a method for detecting leakage points of gas pipelines in a shipyard provided in the second embodiment of the present invention.

[0057] Figure 2 Shown is a schematic diagram of the functional modules of a shipyard gas pipeline leakage point detection system provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0058] The following describes the embodiments of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention.

[0059] It should be noted that the illustrations provided in this embodiment only illustrate the basic concept of the present invention in a schematic manner. Although the illustrations only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation, the form, quantity, positional relationship and proportion of each component in actual implementation can be changed at will under the premise of realizing the technical solution of this party, and the component layout form may also be more complicated.

[0060] Embodiment 1

[0061] This embodiment provides a method for detecting leakage points of gas pipelines in a shipyard. The method for detecting leakage points of gas pipelines in a shipyard in this embodiment uses the shipyard gas pipeline leakage point detection system described in Embodiment 1 to detect leakage points of gas pipelines in a shipyard. Figure 1 , including the following steps:

[0062] S1: Collect pipeline status data of the shipyard gas pipeline, analyze the leakage area of ​​the gas pipeline according to the pipeline status data, generate an inspection route of the leakage area according to the three-dimensional model of the gas pipeline, and generate and issue a work task package;

[0063] Specifically, the data acquisition module of the intelligent platform first collects the pipeline status data of the gas pipeline, which includes pipeline flow data and pipeline pressure data, and then analyzes the pipeline flow data and pipeline pressure data. When the pipeline flow data and pipeline pressure data are abnormal, the gas pipeline leakage area is calculated. Next, the intelligent platform issues a work task package and generates an inspection route for the leakage area based on the three-dimensional model of the gas pipeline.

[0064] S2: parsing the work task package to obtain inspection task information in the work task package, where the inspection task information includes the leakage area and the inspection route of the leakage area;

[0065] Specifically, the work task package is parsed to obtain the inspection task information in the work package, and the work task information includes the leakage area and the inspection route of the leakage area.

[0066] S3: Perform patrol inspection on the leakage area according to the patrol inspection route to obtain detection information of the leakage area;

[0067] Specifically, a patrol inspection is performed on the leakage area according to the patrol route of the leakage area. In an optional embodiment of the present embodiment, obstacles on the patrol route are identified during the patrol inspection process and the obstacles are avoided in real time. The patrol inspection includes visual inspection, sound inspection, infrared inspection, leakage gas concentration inspection, etc. of the gas pipeline. In the present embodiment, the visual inspection information includes smoke information, fire information, gas pipeline appearance damage information, liquid leakage color difference information, etc. of the leakage area. The sound detection information includes the sound information of the surrounding environment during the patrol inspection of the drone, specifically including the sound information of gas pipeline leakage, the sound information caused by the flame, the sound information of gas pipeline dripping, etc. The infrared detection information includes the infrared heat source status information in the patrol route area during the patrol inspection of the drone, and the infrared heat source status information in the patrol route area is analyzed to obtain the information such as freezing and heating of the hidden part of the gas pipeline due to leakage without abnormal appearance of the gas pipeline. The visual inspection information, sound detection information, infrared detection information and leakage gas concentration detection information of the gas pipeline are obtained through the patrol inspection. The obtained visual detection information, sound detection information, infrared detection information and leakage gas concentration detection information are uploaded to the intelligent platform.

[0068] S4: Analyze the detection information to obtain the leakage point location and leakage information of the gas pipeline.

[0069] Next, the pipeline information is analyzed to obtain the location and information of the gas pipeline leakage point. It can improve the accuracy, safety and disposal efficiency of gas pipeline leakage point detection in shipyards. After obtaining the location of the gas pipeline leakage point, a safety alarm signal is issued according to the leakage information of the gas pipeline. Specifically, when the pressure difference between the two ends of the gas pipeline is greater than 20% of the starting end or there is obvious fire around the gas pipeline, or the smoke reaches 5% OBS / M to 15% OBS / M or the gas leakage sound of the gas pipeline is greater than 60 centimeters, or the oxygen concentration around the gas pipeline is greater than 21.5%, or the carbon dioxide concentration around the gas pipeline is greater than 2.5%, or the natural gas concentration around the gas pipeline is greater than 3.5%, or the argon concentration around the gas pipeline is greater than 20%, a safety alarm signal is issued. At this time, the intelligent platform stops the energy supply, and then generates a maintenance plan for the leakage point according to the leakage information of the gas pipeline, so as to control the leakage incident in the shortest time and in the most effective way to prevent the situation from further deteriorating. After generating a repair plan for the leak point, a work task package containing repair tasks is generated and issued according to the repair plan, and the work task package is parsed to obtain the repair tasks in the work task package. The maintenance personnel repair the leak point according to the repair plan. After completing the repair task, the maintenance personnel submit the completed repair task on the intelligent platform, and the intelligent platform automatically restores energy supply. It can improve maintenance efficiency, shorten the interruption time of energy supply, and ensure the energy supply of production.

[0070] Embodiment 2

[0071] This embodiment provides a shipyard gas pipeline leakage detection system. Figure 2 ,The shipyard gas pipeline leakage point detection system of this embodiment includes an intelligent platform, a task receiving module, a drone and a data analysis module.

[0072] Specifically, the intelligent platform is used to collect pipeline status data of shipyard gas pipelines, which include pipeline flow data and pipeline pressure data. The gas pipeline leakage area is calculated based on the pipeline flow data and pipeline pressure data, and the inspection route of the leakage area is generated based on the three-dimensional model of the pipeline, and the work task package is generated and issued. The intelligent platform includes a data acquisition module, a pipeline analysis module, a positioning module and a task issuance module. The data acquisition module includes a flow detection device and a pressure detection device. The flow detection device detects and collects pipeline flow data of the gas pipeline through an electric control valve, a pressure transmitter and a flow meter; the pressure detection device detects and collects pipeline pressure data of the gas pipeline through an electric control valve, a pressure transmitter and a flow meter. The pipeline analysis module is used to obtain the gas pipeline leakage area based on the pipeline flow data and pipeline pressure data. The positioning module is used to generate the inspection route of the leakage area based on the three-dimensional model of the gas pipeline. The task issuance module is used to issue the work task package to the task receiving module.

[0073] The task receiving module is the front-end core component of the entire intelligent inspection system. The task receiving module plays a vital role and is responsible for seamlessly connecting various work task packages issued by the intelligent platform. The task receiving module obtains the inspection task information in the work task package, which includes the leakage area and the inspection route of the leakage area. It not only greatly reduces the preparation time before the inspection, but also significantly improves the efficiency of locating and querying the leakage point, which wins precious time for timely response measures. In order to efficiently perform these carefully planned tasks, the UAV system is introduced as the main inspection tool. The UAV is configured to perform patrol inspections according to the patrol route to obtain the detection information of the leakage area. The UAV includes a UAV terminal and an intelligent obstacle avoidance module. The UAV terminal is used for patrol inspection; the intelligent obstacle avoidance module is the key to ensure that the UAV performs tasks safely and efficiently. The intelligent obstacle avoidance module is used to identify obstacles on the patrol route during the patrol inspection of the UAV, automatically calculate the flight trajectory, and avoid obstacles in real time. This process not only reflects the advanced technology, but also greatly improves the safety and reliability of the inspection operation. A stable data transmission channel has been established between the drone and the intelligent platform. All pipeline information collected by the drone, including the specific location of the leak, the extent of the leak, the surrounding environmental conditions, etc., will be uploaded to the intelligent platform in real time. The intelligent platform uses technical means such as big data analysis and artificial intelligence algorithms to conduct in-depth mining and analysis of this information, further guide subsequent emergency response decisions, and form a closed-loop intelligent inspection and management process.

[0074] The UAV also includes a visual detection module, a sound detection module, an infrared detection module and a concentration detection module. The visual detection module performs visual detection on the leakage area to obtain visual detection information of the gas pipeline; the sound detection module performs sound detection on the leakage area to obtain sound detection information of the gas pipeline; the infrared detection module performs infrared detection on the leakage area to obtain infrared detection information of the gas pipeline; and the concentration detection module performs concentration detection on the leakage area to obtain concentration detection information of the leaked gas in the gas pipeline.

[0075] The data analysis module is used to analyze the detection information received from the drone to obtain the leakage point location and leakage information of the gas pipeline. Specifically, the data analysis module includes a visual analysis module, a sound analysis module, an infrared analysis module and a concentration analysis module. The visual analysis module is used to obtain and analyze visual detection information; the sound analysis module is used to obtain and analyze sound detection information; the infrared analysis module is used to obtain and analyze infrared detection information; and the concentration analysis module is used to obtain and analyze the concentration detection information of the leaked gas.

[0076] The gas pipeline leakage point detection system also includes a safety assessment module, an emergency response module and an interaction module. Specifically, the safety assessment module is used to obtain the environmental information of the leakage point and send a safety alarm signal based on the environmental information to determine the degree of risk that the leakage incident may bring. The emergency response module is used to automatically generate a maintenance plan for the leakage point after obtaining the location of the leakage point, and send the maintenance plan to the intelligent platform. The intelligent platform generates and issues a work task package containing the repair task. Specifically, once the system detects the leakage point and determines its location, the emergency response module will start immediately and automatically recommend a suitable leakage point maintenance plan. The purpose of the emergency response module is to control the leakage incident in the shortest time and in the most effective way to prevent the situation from further deteriorating.

[0077] In order to facilitate the information interaction platform between maintenance personnel, users and managers, the gas pipeline leakage point detection system has an interaction module. Different operators can select the work task package corresponding to their roles through the interaction module according to their different roles. Specifically, maintenance personnel and users receive and select the work task package in the data interaction module to query the work task status. The work task package contains detailed maintenance information, such as fault description, location information, urgency, etc., which helps maintenance personnel quickly understand the task requirements. Maintenance personnel can choose the tasks that suit them according to their abilities and current workload. This flexibility helps improve maintenance efficiency and ensure that tasks can be completed in a timely and effective manner. Users can easily submit maintenance requests through this module, including describing the fault phenomenon and providing location information. This self-service service improves user satisfaction and participation. Managers receive and query the gas pipeline leakage status and receive alarm signals in the data interaction module. This helps managers respond to leakage incidents quickly and take necessary measures to prevent the situation from escalating. When the system detects potential safety hazards or abnormal conditions, it will automatically send warning information to managers through the interaction module, which helps managers to find problems in time and take measures to deal with them.

[0078] Embodiment 3

[0079] This embodiment provides a shipyard gas pipeline leakage point detection device, including a data interaction module, a display, a memory and a processor. The data interaction module is used to select and receive work tasks; the display is used to display various data information of the shipyard gas pipeline leakage point detection system; the memory is used to store computer programs; the processor is connected to the memory for running the computer program, and the shipyard gas pipeline leakage point detection method described in Example 2 is implemented when the computer program is run. It can improve the accuracy, safety and disposal efficiency of shipyard gas pipeline leakage point detection.

[0080] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for detecting leakage points of gas pipelines in a shipyard, characterized in that: The following steps are involved: Collect pipeline status data of shipyard gas pipelines, analyze the leakage area of ​​the gas pipelines according to the pipeline status data, generate inspection routes of the leakage areas according to the three-dimensional model of the gas pipelines, and generate and issue work task packages; Parsing the work task package to obtain inspection task information in the work task package, wherein the inspection task information includes the leakage area and the inspection route of the leakage area; Perform patrol inspection on the leakage area according to the patrol inspection route to obtain detection information of the leakage area; The detection information is analyzed to obtain the leakage point location and leakage information of the gas pipeline.

2. The method for detecting leakage points of shipyard gas pipelines according to claim 1 is characterized in that: The following steps are also included: Sending a security alarm signal according to the leaked information; generating a maintenance plan for the leakage point according to the leakage information; The maintenance personnel repair the leakage point according to the maintenance plan.

3. The method for detecting leakage points of shipyard gas pipelines according to claim 2 is characterized in that: After the maintenance plan is generated, it also includes: Generate and issue a work task package containing repair tasks according to the maintenance plan; Parsing the work task package to obtain the repair task in the work task package; The maintenance personnel obtain the repair task of the leakage point and repair the leakage point according to the maintenance plan.

4. The method for detecting leakage points of shipyard gas pipelines according to claim 1, characterized in that: The detection information includes visual detection information, sound detection information, infrared detection information and leakage gas concentration detection information of the gas pipeline.

5. The shipyard gas pipeline leakage point detection method according to claim 1 is characterized in that: The pipeline status data includes pipeline flow data and pipeline pressure data.

6. A shipyard gas pipeline leakage detection system, characterized in that: include: An intelligent platform is used to collect pipeline status data of shipyard gas pipelines, analyze the leakage area of ​​the gas pipelines according to the pipeline status data, generate an inspection route of the leakage area according to the three-dimensional model of the gas pipeline, and generate and issue a work task package; A task receiving module, used for receiving and parsing the work task package issued by the intelligent platform to obtain the inspection task information in the work task package, wherein the inspection task information includes the leakage area and the inspection route of the leakage area; A drone configured to perform patrol inspection along the inspection route to obtain detection information of the leakage area; The data analysis module is used to analyze the detection information received from the drone to obtain the leakage point location and leakage information of the gas pipeline.

7. The shipyard gas pipeline leakage point detection system according to claim 6 is characterized in that: The drone comprises: A visual inspection module, performing visual inspection on the leakage area to obtain visual inspection information of the gas pipeline; A sound detection module, performing sound detection on the leakage area to obtain sound detection information of the gas pipeline; An infrared detection module performs infrared detection on the leakage area to obtain infrared detection information of the gas pipeline; The concentration detection module performs concentration detection on the leakage area to obtain concentration detection information of the leaked gas in the gas pipeline.

8. The shipyard gas pipeline leakage point detection system according to claim 6 is characterized in that: The intelligent platform includes: A data acquisition module, used for acquiring the pipeline status data of the gas pipeline; A pipeline analysis module, used for obtaining the leakage area of ​​the gas pipeline according to the pipeline status data; A positioning module, used to generate an inspection route of the leakage area according to the three-dimensional model of the gas pipeline; The task sending module is used to send the work task package to the task receiving module.

9. The shipyard gas pipeline leakage point detection system according to claim 7, characterized in that: The data analysis module includes: A visual analysis module, used to obtain and analyze the visual detection information; A sound analysis module, used for obtaining and analyzing the sound detection information; An infrared analysis module, used for obtaining and analyzing the infrared detection information; The concentration analysis module is used to obtain and analyze the concentration detection information of the leaked gas.

10. The shipyard gas pipeline leakage point detection system according to claim 8, characterized in that: The data acquisition module includes: A flow detection device, for detecting and collecting flow data of the pipeline; The pressure detection device detects and collects the pressure data of the pipeline.

11. The shipyard gas pipeline leakage point detection system according to claim 6, characterized in that: Also includes: A safety assessment module, used to obtain environmental information of the leakage point and issue a safety alarm signal according to the environmental information; An emergency response module, which is used to automatically generate a repair plan for the leak point after obtaining the location of the leak point, and send the repair plan to the smart platform, and the smart platform generates and sends a work task package containing a repair task; Interaction module, different operators can select work task packages corresponding to their roles through the interaction module according to their different roles.

12. A shipyard gas pipeline leakage point detection device, used to execute the shipyard gas pipeline leakage point detection method according to any one of claims 1 to 5, characterized in that: include: Interaction module, used to select and receive work tasks; Display, used to display various data information of the shipyard gas pipeline leakage point detection system; Memory for storing computer programs; A processor is communicatively connected to the memory and is used to run the computer program so that the terminal executes the shipyard gas pipeline leakage point detection method according to any one of claims 1 to 5.

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