CN117109811A - Method and device for detecting leakage point of carbon dioxide pipeline - Google Patents

Abstract

The invention proposes a method and device for detecting leakage points of carbon dioxide pipelines, and relates to the technical field of pipeline leakage monitoring. The method includes: obtaining the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature; registering the infrared image and the ambient temperature; and according to the temperature value corresponding to each pixel in the infrared image and the corresponding environment The temperature difference between the temperatures determines the temperature difference image corresponding to the infrared image; based on the preset temperature threshold, perform threshold segmentation processing on the temperature difference image to obtain the corresponding binary image; according to the binary value images to monitor leak points. As a result, there is no need to deploy a large number of sensors, which can reduce the purchase cost of the monitoring system and avoid a lot of waste of manpower and material resources caused by the installation, maintenance, and repair of sensors. The leak point can be directly located through the temperature difference method, which is efficient and convenient.

Description

Leak point detection method and device for carbon dioxide pipelines

Technical field

The present invention relates to the technical field of pipeline leakage monitoring, and in particular to a method and device for detecting leakage points of carbon dioxide pipelines.

Background technique

CCUS (Carbon Capture Utilization and Storage) refers to carbon dioxide capture, utilization and storage technology. It is a solution to climate change that aims to reduce the amount of carbon dioxide emissions in the atmosphere and store it safely to curb the increase of greenhouse gases. Long-distance pipeline transportation is one of the key links in CCUS systems, which involves transporting captured carbon dioxide from point sources such as power plants, factories or industrial facilities to underground storage locations or other utilization locations. CCUS long-distance pipeline transmission distances can range from tens to hundreds or even thousands of kilometers, depending on the distance between the point source and storage location. Long-distance pipelines need to consider factors such as pressure loss, layout of pump stations and compressors. Safety is crucial in long-distance pipeline transportation. The system needs to take strict safety measures, including leakage monitoring, explosion-proof devices, emergency shutdown systems, etc., to ensure the safety and stability of pipeline operations. Long-distance pipeline transportation requires continuous operation and maintenance work, including inspections, leak detection, pipeline cleaning, anti-corrosion measures, etc. Regular maintenance and overhaul are key to ensuring the reliability and long-term operation of your piping system.

Pressure monitoring is one of the most common methods of detecting pipeline leaks. By installing pressure sensors in the piping system, pressure changes in the pipes can be monitored. When a pipe leaks, the pressure at the leak will change, allowing the leak to be detected. For long-distance pipelines (more than 100km), a large number of pressure sensors need to be deployed along the pipeline, and the sensors will be arranged more densely in key locations, which brings great difficulties to the installation, maintenance and data collection of sensors. If sensor damage occurs and is not dealt with in time, major accidents caused by carbon dioxide leakage will not be detected in time. In addition, sensors placed in the wild are easily damaged by humans, making supervision difficult.

Contents of the invention

The present invention aims to solve one of the technical problems in the related art, at least to a certain extent.

The first embodiment of the present invention proposes a leak point detection method for carbon dioxide pipelines, which includes:

Obtain the current infrared image of the carbon dioxide pipeline and the surrounding ambient temperature;

Register the infrared image with the ambient temperature;

Determine a temperature difference image corresponding to the infrared image according to the temperature difference between the temperature value corresponding to each pixel point in the infrared image and the corresponding ambient temperature;

Based on a preset temperature threshold, perform threshold segmentation processing on the temperature difference image to obtain a corresponding binary image;

According to the binary image, the leakage point is monitored.

The second embodiment of the present invention provides a leakage point detection device for carbon dioxide pipelines, which includes:

The acquisition module is used to acquire the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature;

A registration module, used to register the infrared image and the ambient temperature;

A determination module configured to determine the temperature difference image corresponding to the infrared image based on the temperature difference between the temperature value corresponding to each pixel point in the infrared image and the corresponding ambient temperature;

A processing module configured to perform threshold segmentation processing on the temperature difference image based on a preset temperature threshold to obtain a corresponding binary image;

A monitoring module is used to monitor the leakage point based on the binary image.

A third embodiment of the present invention provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the present invention is implemented. The first aspect embodiment proposes a method for detecting leakage points of carbon dioxide pipelines.

The fourth embodiment of the present invention provides a computer-readable storage medium that stores a computer program. When the computer program is executed by a processor, the method for detecting leakage points of carbon dioxide pipelines as proposed in the first embodiment of the present invention is implemented. .

The method and device for detecting leakage points of carbon dioxide pipelines provided by the present invention have the following beneficial effects:

In the embodiment of the present invention, the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature are first obtained, and then the infrared image and the ambient temperature are registered, and then the temperature value corresponding to each pixel in the infrared image is compared with the corresponding ambient temperature. determine the temperature difference image corresponding to the infrared image, and then perform threshold segmentation processing on the temperature difference image based on the preset temperature threshold to obtain the corresponding binary image. Finally, based on the binary image, the leak point is Monitor. As a result, there is no need to deploy a large number of sensors, which can reduce the purchase cost of the monitoring system and avoid a lot of waste of manpower and material resources caused by the installation, maintenance, and repair of sensors. The leak point can be directly located through the temperature difference method, which is efficient and convenient.

Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

Figure 1 is a schematic flow chart of a leak point detection method for carbon dioxide pipelines provided by an embodiment of the present invention;

Figure 2 is a schematic flow chart of a leak point detection method for carbon dioxide pipelines provided by another embodiment of the present invention;

Figure 3 is a schematic structural diagram of a leakage point detection device for carbon dioxide pipelines provided by another embodiment of the present invention;

4 illustrates a block diagram of an exemplary electronic device suitable for implementing embodiments of the present invention.

Detailed ways

The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present invention and are not to be construed as limiting the present invention.

The following describes the carbon dioxide pipeline leakage point detection method, device, electronic equipment and storage medium according to the embodiments of the present invention with reference to the accompanying drawings.

Figure 1 is a schematic flowchart of a carbon dioxide pipeline leakage point detection method provided by an embodiment of the present invention.

The embodiment of the present invention takes as an example that the leakage point detection method of a carbon dioxide pipeline is configured in a leakage point detection device of a carbon dioxide pipeline.

As shown in Figure 1, the leakage point detection method of the carbon dioxide pipeline can include the following steps:

Step 101: Obtain the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature.

Optionally, the current infrared image of the carbon dioxide transportation pipeline can be obtained based on the infrared thermal imaging camera mounted on the drone, and the ambient temperature around the carbon dioxide transportation pipeline can be obtained.

It should be noted that the infrared thermal imaging camera can detect the infrared radiation emitted by the object and generate an infrared image based on the heat distribution of the object, thereby providing information about the temperature distribution and heat leakage points.

In this scenario, a drone equipped with an infrared thermal imaging camera can fly in the air and scan the carbon dioxide pipeline. By capturing infrared radiation from the pipe surface and its surroundings, the thermal imaging camera converts it into a visual infrared image. Such infrared images can show the heat distribution in the pipeline and help detect abnormal hot spots, heat leakage problems and potential leak points on the pipeline. By regularly acquiring infrared images of carbon dioxide delivery pipelines, operators can monitor the status of the pipelines and detect any abnormalities in a timely manner. This helps identify potential safety hazards and leak risks in advance, and take appropriate repair and maintenance measures to ensure the reliability and safety of the pipeline system. Drones can carry temperature sensors, such as ambient temperature sensors or surface temperature sensors. These sensors can record the ambient air temperature or the temperature of the surface it is in contact with. By collecting data during drone flight, the ambient temperature around and around the pipe can be obtained.

It should be noted that the carbon dioxide transportation pipeline in the embodiment of the present disclosure may be a long-distance transportation pipeline, such as a transportation pipeline exceeding 100 km. Therefore, the atmospheric temperature and ambient temperature around different locations of the pipeline may be different.

Step 102: Register the infrared image with the ambient temperature.

It should be noted that when registering the infrared image with the ambient temperature, it is necessary to ensure that the spatial position and scale between the two are aligned. The following is a schematic description of a registration process, which is not intended to limit the disclosure.

Select registration reference points: Select several commonly identifiable points in the infrared image and ambient temperature data as registration reference points. These points may be prominent features, pipeline-specific landmarks, or other clearly distinguishable features.

Record reference point location: Use positioning tools such as GPS to record the geographical coordinates of the selected reference point in infrared images and ambient temperature data. Ensure accuracy and consistency of recorded positions during both data acquisition sessions.

Image registration: Use image processing software for image registration. Based on the selected reference point location, the infrared image and ambient temperature data are spatially transformed so that they are aligned with each other. The registration process may involve rotation, translation, scaling and other operations.

Verify registration results: Verify that the images after registration are aligned accurately. This can be done visually by comparing the registered image to the actual scene or using other tools for further analysis.

It should be noted that during the registration process, ensure that accurate geographical coordinates are used to obtain reliable registration results. Proper registration can make the infrared image and ambient temperature data spatially consistent, providing accurate temperature information for subsequent analysis.

Step 103: Determine a temperature difference image corresponding to the infrared image based on the temperature difference between the temperature value corresponding to each pixel point in the infrared image and the corresponding ambient temperature.

It should be noted that the temperature difference needs to be calculated for each pixel in the infrared image, that is, the temperature of the current pixel minus the ambient temperature, so that a temperature difference image can be obtained, in which each pixel represents the temperature difference at that location.

Step 104: Perform threshold segmentation processing on the temperature difference image based on a preset temperature threshold to obtain a corresponding binary image.

Specifically, a temperature threshold can be set to determine which pixel temperature differences are considered leak points. By performing threshold segmentation on the temperature difference image, a binary image is obtained, in which pixel points exceeding the threshold represent potential leak points.

Step 105: Monitor the leakage point based on the binary image.

Optionally, the binary image can be post-processed based on morphological operations. Morphological operations include erosion operations and dilation operations, and then connected area analysis is performed on the leakage points in the post-processed binary image to determine each leakage point. The location and boundary of each leak point are then marked on the infrared image and displayed visually.

It should be noted that corrosion operations can be applied first to reduce noise and subtle leak points. Erosion operations reduce the size of objects, remove small noisy objects, and separate adjacent objects. Next, a dilation operation is applied to fill voids within the object and connect scattered leaks. The expansion operation will increase the matching with the image and expand the object. Connected region analysis is performed on the morphologically operated binary image to determine the location and boundary of each leak point. Connected area analysis can divide the pixels in the image into several groups according to their connectivity, with each group representing a connected area, thereby finding the connected area where the leak point is located. The location and boundary information of each leak point, such as pixel coordinates, area outline, etc., are associated with the original infrared image. Finally, each leak point is marked on the infrared image and displayed visually. Infrared images can be marked with specific symbols, colors, or other markings to highlight leak locations. In this way, by combining morphological operations and connected area analysis, the binary image can be post-processed, and the location of the leak point can be marked in the visual display of the infrared image, thereby presenting the location information of the leak point more intuitively.

Specifically, leak points can be marked on the original infrared image for visual display of the results, and corresponding alarms or warnings can be generated based on the number and location of detected leak points. In practical applications, in order to improve accuracy and efficiency, it may be necessary to perform parameter tuning, data correction, model training and other operations according to specific circumstances.

In the embodiment of the present invention, the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature are first obtained, and then the infrared image and the ambient temperature are registered, and then the temperature value corresponding to each pixel in the infrared image is compared with the corresponding ambient temperature. determine the temperature difference image corresponding to the infrared image, and then perform threshold segmentation processing on the temperature difference image based on the preset temperature threshold to obtain the corresponding binary image. Finally, based on the binary image, the leak point is Monitor. As a result, there is no need to deploy a large number of sensors, which can reduce the purchase cost of the monitoring system and avoid a lot of waste of manpower and material resources caused by the installation, maintenance, and repair of sensors. The leak point can be directly located through the temperature difference method, which is efficient and convenient.

Figure 2 is a schematic flowchart of a carbon dioxide pipeline leakage point detection method provided by an embodiment of the present invention.

As shown in Figure 2, the leakage point detection method of the carbon dioxide pipeline can include the following steps:

Step 201: Obtain the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature.

It should be noted that the specific implementation of step 201 may refer to the above embodiment, and will not be described again here.

Step 202: Perform correction and denoising processing on the infrared image.

It should be noted that correcting and denoising infrared images can improve image quality and information accuracy. The following are methods for infrared image correction and denoising:

Pixel shift correction: Detect and correct possible pixel shift or displacement by analyzing known reference objects in the infrared image.

Temperature correction: Convert the gray value in the infrared image into the corresponding temperature value. This requires calibration in advance, using standard samples with known temperatures to establish the relationship between grayscale and temperature in the image.

Median filtering: Use a median filter to replace the value of each pixel with the median value in its surrounding neighborhood (such as a 3x3 or 5x5 window). This smoothes the image and removes some random noise.

Gaussian filtering: Apply a Gaussian filter to smooth the image to reduce the impact of high-frequency noise while retaining the edge information of the image.

Wavelet denoising: Use wavelet transform to convert the image from the time domain to the frequency domain, and then perform noise suppression based on the noise model.

Step 203: Register the infrared image and the ambient temperature.

Step 204: Determine a temperature difference image corresponding to the infrared image based on the temperature difference between the temperature value corresponding to each pixel point in the infrared image and the corresponding ambient temperature.

It should be noted that the specific implementation of steps 203 and 204 may refer to the above embodiment, and will not be described again here.

Step 205: Obtain a temperature threshold that is jointly associated with the scene where the carbon dioxide transportation pipeline is currently located and the current time period.

It should be noted that in order to obtain the abnormal temperature threshold that is jointly associated with the current scene and the current time period of the carbon dioxide transportation pipeline, it needs to be analyzed and determined based on the actual situation. The temperature threshold will vary based on several factors:

Pipe materials and designs: Different pipe materials and designs may have different ideal operating temperature ranges and critical temperatures. The temperature threshold should be considered in conjunction with the material properties and design requirements of the pipe.

Environmental conditions: Environmental factors such as external temperature, humidity, wind speed, etc. will also affect the operating temperature range of the pipeline. Abnormal temperature thresholds should take into account the impact of environmental conditions on pipe heat transfer.

Operating status: The operating status and usage of the pipeline also affect the abnormal temperature threshold. For example, the range of temperature fluctuations under normal operation may be different from the range of abnormal temperature fluctuations during maintenance or accident situations.

Data history and experience: Based on past data records and experience, abnormal temperature conditions in pipelines in specific scenarios and specific time periods can be analyzed, and reasonable abnormal temperature thresholds can be set accordingly.

Specifically, different temperature thresholds can be determined for different scenarios and different time periods based on a large number of experiments in advance. Therefore, the corresponding temperature threshold can be directly selected based on the current scene and the current time period of the carbon dioxide transportation pipeline.

Step 206: Perform threshold segmentation on the temperature difference image to set the pixel value of the area in the temperature difference image that exceeds the temperature threshold as a first preset value, and set the pixel value of the area that does not exceed the temperature threshold as a first preset value. The pixel value is set to the second preset value, thereby generating a corresponding binary image.

It should be noted that the pixel value of the area in the temperature difference image that exceeds the temperature threshold represents a potential leakage point area. It can therefore be set to the first preset value. The first preset value and the second preset value are different.

Step 207: Monitor the leakage point based on the binary image.

It should be noted that the specific implementation of step 207 may refer to the above embodiment, and will not be described again here.

In the embodiment of the present disclosure, the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature are first obtained, the infrared image is corrected and denoised, and the infrared image and the ambient temperature are registered. According to the infrared image The temperature difference between the temperature value corresponding to each pixel and the corresponding ambient temperature is determined, and the temperature difference image corresponding to the infrared image is determined, and then the scene and the current time period of the carbon dioxide transportation pipeline are obtained. Commonly associated temperature thresholds, perform threshold segmentation on the temperature difference image to set the pixel value of the area in the temperature difference image that exceeds the temperature threshold as a first preset value, and set the pixel value that does not exceed the temperature threshold The pixel value of the area is set to the second preset value, thereby generating a corresponding binary image, and finally the leakage point is monitored based on the binary image. As a result, the corresponding temperature threshold can be selected according to the specific usage scenario, and then the temperature threshold can be used to perform threshold segmentation on the binary image, thereby improving the accuracy of leak point detection. There is no need to deploy a large number of sensors, which can reduce the purchase cost of the monitoring system and avoid a lot of waste of manpower and material resources caused by the installation, maintenance and repair of sensors. The leak point can be directly located through the temperature difference method, which is efficient and convenient.

In order to implement the above embodiments, the present invention also proposes a leak point detection device for carbon dioxide pipelines.

Figure 3 is a schematic structural diagram of a carbon dioxide pipeline leakage point detection device provided by an embodiment of the present invention.

As shown in Figure 3, the leakage point detection device 300 of the carbon dioxide pipeline may include:

The acquisition module 310 is used to acquire the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature;

Registration module 320, used to register the infrared image and the ambient temperature;

The determination module 330 is configured to determine the temperature difference image corresponding to the infrared image according to the temperature difference between the temperature value corresponding to each pixel point in the infrared image and the corresponding ambient temperature;

The processing module 340 is configured to perform threshold segmentation processing on the temperature difference image based on a preset temperature threshold to obtain a corresponding binary image;

The monitoring module 350 is used to monitor the leakage point according to the binary image.

Optional, the acquisition module is specifically used for:

Based on the infrared thermal imaging camera mounted on the drone, obtain the current infrared image of the carbon dioxide transportation pipeline;

Obtain the ambient temperature around the carbon dioxide delivery pipeline.

Optionally, the acquisition module is also used for:

The infrared image is corrected and denoised.

Optional, the processing module is specifically used for:

Obtain a temperature threshold that is jointly associated with the scene where the carbon dioxide transportation pipeline is currently located and the current time period;

Threshold segmentation is performed on the temperature difference image to set the pixel value of the area in the temperature difference image that exceeds the temperature threshold as a first preset value, and to set the pixel value of the area that does not exceed the temperature threshold. is the second preset value, thereby generating the corresponding binary image.

Optional, the monitoring module is specifically used for:

Post-process the binary image based on morphological operations, which include erosion operations and dilation operations;

Perform connected area analysis on the leakage points in the post-processed binary image to determine the location and boundary of each leakage point;

Each leak point is marked on the infrared image and displayed visually.

In the embodiment of the present invention, the current infrared image of the carbon dioxide transportation pipeline and the surrounding ambient temperature are first obtained, and then the infrared image and the ambient temperature are registered, and then the temperature value corresponding to each pixel in the infrared image is compared with the corresponding ambient temperature. determine the temperature difference image corresponding to the infrared image, and then perform threshold segmentation processing on the temperature difference image based on the preset temperature threshold to obtain the corresponding binary image. Finally, based on the binary image, the leak point is Monitor. As a result, there is no need to deploy a large number of sensors, which can reduce the purchase cost of the monitoring system and avoid a lot of waste of manpower and material resources caused by the installation, maintenance, and repair of sensors. The leak point can be directly located through the temperature difference method, which is efficient and convenient.

In order to implement the above embodiments, the present invention also proposes an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the above embodiments of the present invention are implemented. Proposed leak point detection method for carbon dioxide pipelines.

In order to implement the above embodiments, the present invention also proposes a computer-readable storage medium that stores a computer program. When the computer program is executed by a processor, the method for detecting leakage points of carbon dioxide pipelines as proposed in the previous embodiments of the present invention is implemented.

4 illustrates a block diagram of an exemplary electronic device suitable for implementing embodiments of the present invention. The electronic device 12 shown in FIG. 4 is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present invention.

As shown in Figure 4, electronic device 12 is embodied in the form of a general-purpose computing device. Components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and a bus 18 connecting various system components (including system memory 28 and processing unit 16).

Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics accelerated port, a processor, or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to the Industry Standard Architecture (Industry Standard Architecture; hereinafter referred to as: ISA) bus, Micro Channel Architecture (Micro Channel Architecture; hereinafter referred to as: MAC) bus, enhanced ISA bus, and video electronic standards Association (Video Electronics Standards Association; hereafter referred to as: VESA) local bus and peripheral component interconnection (Peripheral Component Interconnection; hereafter referred to as: PCI) bus.

Electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 12, including volatile and nonvolatile media, removable and non-removable media.

The memory 28 may include computer system-readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter referred to as: RAM) 30 and/or cache memory 32 . Electronic device 12 may further include other removable/non-removable, volatile/non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write to non-removable, non-volatile magnetic media (not shown in Figure 4, commonly referred to as a "hard drive"). Although not shown in FIG. 4, a disk drive may be provided for reading and writing to removable non-volatile disks (e.g., "floppy disks"), and for removable non-volatile optical disks (e.g., compact disks). Disc Read OnlyMemory (hereinafter referred to as: CD-ROM), Digital Video Disc Read OnlyMemory (hereinafter referred to as: DVD-ROM) or other optical media). In these cases, each drive may be connected to bus 18 through one or more data media interfaces. Memory 28 may include at least one program product having a set (eg, at least one) of program modules configured to perform the functions of embodiments of the invention.

A program/utility 40 having a set of (at least one) program modules 42, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored, for example, in memory 28 , each of these examples or some combination may include the implementation of a network environment. Program modules 42 generally perform functions and/or methods in the described embodiments of the invention.

Electronic device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), may also communicate with one or more devices that enable a user to interact with electronic device 12, and/or with Any device (eg, network card, modem, etc.) that enables the electronic device 12 to communicate with one or more other computing devices. This communication may occur through input/output (I/O) interface 22. Moreover, the electronic device 12 can also communicate with one or more networks (such as a local area network (hereinafter referred to as: LAN), a wide area network (hereinafter referred to as: WAN)) and/or a public network, such as the Internet, through the network adapter 20 ) communication. As shown, network adapter 20 communicates with other modules of electronic device 12 via bus 18 . It should be understood that, although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives And data backup storage system, etc.

The processing unit 16 executes programs stored in the system memory 28 to perform various functional applications and data processing, such as implementing the methods mentioned in the previous embodiments.

In the description of this specification, reference to the terms "one embodiment," "some embodiments," "an example," "specific examples," or "some examples" or the like means that specific features are described in connection with the embodiment or example. , structures, materials or features are included in at least one embodiment or example of the invention. In this specification, the schematic expressions of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, those skilled in the art may combine and combine different embodiments or examples and features of different embodiments or examples described in this specification unless they are inconsistent with each other.

In addition, the terms “first” and “second” are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Therefore, features defined as "first" and "second" may explicitly or implicitly include at least one of these features. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise expressly and specifically limited.

Any process or method descriptions in flowcharts or otherwise described herein may be understood to represent modules, segments, or portions of code that include one or more executable instructions for implementing customized logical functions or steps of the process. , and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed out of the order shown or discussed, including in a substantially simultaneous manner or in the reverse order, depending on the functionality involved, which shall It should be understood by those skilled in the art to which embodiments of the present invention belong.

The logic and/or steps represented in the flowcharts or otherwise described herein, for example, may be considered a sequenced list of executable instructions for implementing the logical functions, and may be embodied in any computer-readable medium, For use by, or in combination with, instruction execution systems, devices or devices (such as computer-based systems, systems including processors or other systems that can fetch instructions from and execute instructions from the instruction execution system, device or device) or equipment. For the purposes of this specification, a "computer-readable medium" may be any device that can contain, store, communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer readable media include the following: electrical connections with one or more wires (electronic device), portable computer disk cartridges (magnetic device), random access memory (RAM), Read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium may even be paper or other suitable medium on which the program may be printed, as the paper or other medium may be optically scanned, for example, and subsequently edited, interpreted, or otherwise suitable as necessary. process to obtain the program electronically and then store it in computer memory.

It should be understood that various parts of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if it is implemented in hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: discrete logic gate circuits with logic functions for implementing data signals; Logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

Those of ordinary skill in the art can understand that all or part of the steps involved in implementing the methods of the above embodiments can be completed by instructing relevant hardware through a program. The program can be stored in a computer-readable storage medium. The program can be stored in a computer-readable storage medium. When executed, one of the steps of the method embodiment or a combination thereof is included.

In addition, each functional unit in various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated modules can be implemented in the form of hardware or software function modules. If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

The storage media mentioned above can be read-only memory, magnetic disks or optical disks, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above-mentioned embodiments are illustrative and should not be construed as limitations of the present invention. Those of ordinary skill in the art can make modifications to the above-mentioned embodiments within the scope of the present invention. The embodiments are subject to changes, modifications, substitutions and variations.

Claims (10)

1. A method of leak point detection for a carbon dioxide pipeline, comprising:

acquiring a current infrared image and surrounding environment temperature of a carbon dioxide conveying pipeline;

registering the infrared image and the ambient temperature;

determining a temperature difference image corresponding to the infrared image according to a temperature difference value between a temperature value corresponding to each pixel point in the infrared image and the corresponding ambient temperature;

based on a preset temperature threshold, performing threshold segmentation processing on the temperature difference image to obtain a corresponding binary image;

and monitoring the leakage point according to the binary image.

2. The method of claim 1, wherein the acquiring the current infrared image of the carbon dioxide delivery conduit and the ambient temperature comprises:

acquiring a current infrared image of the carbon dioxide conveying pipeline based on an infrared thermal imager carried by the unmanned aerial vehicle;

and acquiring the ambient temperature around the carbon dioxide conveying pipeline.

3. The method of claim 1, further comprising, after the acquiring the current infrared image of the carbon dioxide delivery conduit and the ambient temperature:

and correcting and denoising the infrared image.

4. The method according to claim 1, wherein the thresholding the temperature difference image based on a preset temperature threshold to obtain a corresponding binary image includes:

acquiring a temperature threshold value commonly associated with a current scene where the carbon dioxide conveying pipeline is located and a current time period;

and carrying out threshold segmentation on the temperature difference image so as to set the pixel value of the region exceeding the temperature threshold in the temperature difference image as a first preset value and set the pixel value of the region not exceeding the temperature threshold as a second preset value, thereby generating a corresponding binary image.

5. The method of claim 1, wherein monitoring the leak point from the binary image comprises:

post-processing the binary image based on morphological operations including a corrosion operation and an expansion operation;

carrying out communication area analysis on the leakage points in the post-processed binary image so as to determine the position and boundary of each leakage point;

each leakage point is marked on the infrared image and visually displayed.

6. A leak point detection device for a carbon dioxide pipeline, comprising:

the acquisition module is used for acquiring the current infrared image and the surrounding environment temperature of the carbon dioxide conveying pipeline;

the registering module is used for registering the infrared image and the ambient temperature;

the determining module is used for determining a temperature difference image corresponding to the infrared image according to a temperature difference value between a temperature value corresponding to each pixel point in the infrared image and the corresponding ambient temperature;

the processing module is used for carrying out threshold segmentation processing on the temperature difference image based on a preset temperature threshold value so as to obtain a corresponding binary image;

and the monitoring module is used for monitoring the leakage point according to the binary image.

7. The apparatus of claim 6, wherein the obtaining module is specifically configured to:

acquiring a current infrared image of the carbon dioxide conveying pipeline based on an infrared thermal imager carried by the unmanned aerial vehicle;

and acquiring the ambient temperature around the carbon dioxide conveying pipeline.

8. The apparatus of claim 6, wherein the acquisition module is further configured to:

and correcting and denoising the infrared image.

9. The apparatus of claim 6, wherein the processing module is specifically configured to:

acquiring a temperature threshold value commonly associated with a current scene where the carbon dioxide conveying pipeline is located and a current time period;

and carrying out threshold segmentation on the temperature difference image so as to set the pixel value of the region exceeding the temperature threshold in the temperature difference image as a first preset value and set the pixel value of the region not exceeding the temperature threshold as a second preset value, thereby generating a corresponding binary image.

10. The apparatus of claim 6, wherein the monitoring module is configured to:

post-processing the binary image based on morphological operations including a corrosion operation and an expansion operation;

carrying out communication area analysis on the leakage points in the post-processed binary image so as to determine the position and boundary of each leakage point;

each leakage point is marked on the infrared image and visually displayed.