Industrial pipeline inspection method, system, equipment and medium

Abstract

The invention provides an industrial pipeline inspection method, system and device and a medium, and relates to the technical field of intelligent operation and maintaining.The inspection method comprises the steps that inspection task information is obtained; according to the inspection task information, extracting corresponding hanging point information of a support hanger from a preset pipeline information base; according to the position coordinates of the hanging point in the hanging point information of the support hanger, collecting inspection pictures of the hanging point and the periphery of the hanging point; performing defect identification on the inspection pictures of all the suspension points of the supports and hangers, and generating defect data of all the suspension points of the supports and hangers; and generating a corresponding maintenance scheme based on all the defect data. According to the invention, the quality and efficiency of the inspection work are improved, the risk of human errors is reduced, and the normal operation of the pipeline system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent operation and maintenance, and particularly to an inspection method, system, device and medium for industrial pipelines. Background Art

[0002] As the core energy transmission network of a power station, the pipeline system undertakes the core functions of connecting key equipment and transporting working medium to achieve a thermal cycle. Its operating state directly determines the safety, reliability and energy efficiency level of the power station. Inspecting pipelines and their accessories (hangers and dampers) is a necessary means to ensure the normal operation of the power station pipelines.

[0003] However, the current pipeline inspection work still generally adopts the traditional manual paper-based operation mode. Inspectors need to fill in paper forms on site to record the equipment status, and then rely on manual secondary entry into the system to complete maintenance dispatch or data analysis. This mode has disadvantages such as insufficient process standardization, low data transfer efficiency, relying on manual perception and written description, and incomplete collection of status information. Therefore, there is room for improvement. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide an inspection method, system, device and medium for industrial pipelines, which are used to solve the technical problems in the prior art that the pipeline inspection work adopts the manual paper-based operation mode, with insufficient process standardization, low data transfer efficiency, relying on manual perception and written description, and incomplete collection of status information.

[0005] To achieve the above object and other related objects, the present invention provides an inspection method for industrial pipelines, including:

[0006] Obtain inspection task information;

[0007] According to the inspection task information, extract the corresponding hanger suspension point information from a preset pipeline information library;

[0008] According to the position coordinates of the suspension points in the hanger suspension point information, collect inspection pictures of the suspension points and their surroundings;

[0009] Compare the inspection pictures of each hanger suspension point with the corresponding historical pictures respectively, and generate defect data for all hanger suspension points;

[0010] Generate a corresponding maintenance plan based on all the defect data.

[0011] In an embodiment of the present invention, the step of obtaining the suspension point information of the target inspection equipment according to the inspection task information includes:

[0012] Extract the information of multiple pipeline systems involved in the task from the inspection task information;

[0013] Match the information of multiple pipeline systems with the pipeline information library respectively to obtain the hanger point information corresponding to each pipeline system.

[0014] In an embodiment of the present invention, the step of collecting inspection pictures of the hanger points and their surroundings according to the position coordinates of the hanger points in the hanger point information includes:

[0015] Based on the position coordinates of the hanger points in the hanger point information, plan and generate an inspection route;

[0016] According to the inspection route, collect inspection pictures of each hanger point in sequence.

[0017] In an embodiment of the present invention, the step of identifying defects in the inspection pictures of all hanger points and generating defect data of all hanger points includes:

[0018] Compare the inspection pictures of each hanger point with the corresponding historical pictures to generate image difference data;

[0019] Based on the image difference data, judge the corresponding defect type and defect level, and generate defect data of all hanger points.

[0020] In an embodiment of the present invention, the step of comparing the inspection pictures of each hanger point with the corresponding historical pictures to generate image difference data includes:

[0021] Perform key area marking processing on the inspection pictures and the corresponding historical pictures;

[0022] Extract and compare the appearance features and structural features of the inspection pictures and the corresponding historical pictures after marking to generate image difference data.

[0023] In an embodiment of the present invention, before the step of extracting the corresponding hanger point information from the preset pipeline information library according to the inspection task information, it further includes:

[0024] Analyze and process the obtained design drawings of all pipeline systems, extract the numbers, position coordinates and design loads of the hanger points in each pipeline system, and save them in the corresponding hanger point information in a preset format;

[0025] Import the hanger point information into the pipeline information library.

[0026] In an embodiment of the present invention, after the step of generating the corresponding maintenance plan based on all the defect data, it further includes:

[0027] Collect inspection pictures of the hanger points after maintenance;

[0028] Analyze and process the collected inspection pictures after maintenance to determine whether the corresponding hanger points of the pipe supports and hangers return to normal.

[0029] The present invention also provides an inspection system for industrial pipelines, including:

[0030] A task acquisition module for acquiring inspection task information;

[0031] A data acquisition module for extracting corresponding hanger point information of pipe supports and hangers from a preset pipeline information database according to the inspection task information;

[0032] A picture acquisition module for acquiring inspection pictures of the hanger points and their surroundings according to the position coordinates of the hanger points in the hanger point information of the pipe supports and hangers;

[0033] A defect identification module for identifying defects in the inspection pictures of all hanger points of pipe supports and hangers and generating defect data of all hanger points of pipe supports and hangers;

[0034] A maintenance support module for generating corresponding maintenance plans based on all the defect data.

[0035] The present invention also provides an electronic device, which includes:

[0036] One or more processors;

[0037] A storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the inspection method for industrial pipelines as described in any one of the above.

[0038] The present invention also provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor of a computer, causes the computer to execute the inspection method for industrial pipelines as described in any one of the above.

[0039] As described above, an inspection method, system, device and medium for industrial pipelines of the present invention have the following beneficial effects: The present invention improves the quality and efficiency of the inspection work, reduces the risk of human errors, and ensures the normal operation of the pipeline system. Brief Description of the Drawings

[0040] Figure 1 It is a schematic flowchart of the inspection method for industrial pipelines provided by an embodiment of the present invention;

[0041] Figure 2 It is a structural block diagram of the inspection system for industrial pipelines provided by an embodiment of the present invention;

[0042] Figure 3 It is a schematic structural diagram of an electronic device according to an embodiment of the present invention. Specific embodiments

[0043] The following uses specific examples to illustrate the implementation manners of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation manners. Various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0044] It should be noted that the diagrams provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner. Therefore, only the components related to the present invention are shown in the diagrams, rather than being drawn according to the number, shape, and size of the components in actual implementation. The types, quantities, and proportions of the components in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0045] In the following description, a large number of details are explored to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0046] The present invention provides a pipeline inspection method, system, device, and medium for industrial pipelines, which relates to the technical field of intelligent operation and maintenance, and can be specifically applied to solve the technical problems of insufficient process standardization, low data transfer efficiency, reliance on manual perception and text description, and incomplete collection of status information in the pipeline inspection work using the manual paper-based operation mode. Through the electronic and visual management of inspection tasks, intelligent assistance during the inspection process, trend analysis of inspection results, and intelligent decision-making assistance, the present invention can improve the quality and efficiency of inspection work, reduce the risk of human error, ensure the normal operation of the pipeline system, and lay a foundation for intelligent integrated inspection. The following is a detailed description through specific embodiments.

[0047] Please refer to Figure 1 , in an embodiment of the present invention, the pipeline inspection method for industrial pipelines may specifically include the following steps:

[0048] Step S100: Obtain inspection task information;

[0049] Step S200: Extract corresponding support hanger point information from a preset pipeline information library according to the inspection task information;

[0050] Step S300: Collect inspection pictures of the hanging points and their surroundings according to the position coordinates of the hanging points in the support and hanger hanging point information.

[0051] Step S400: Identify defects in the inspection pictures of all support and hanger hanging points to generate defect data of all support and hanger hanging points.

[0052] Step S500: Generate corresponding maintenance plans based on all the defect data.

[0053] In an embodiment of the present invention, when step S100 is executed, inspection task information is obtained. Specifically, the inspection task information indicates the inspection round of the current inspection task, multiple pipeline systems involved, inspection type, visual inspection status, etc. Among them, the inspection round can be, for example, the Xth major overhaul inspection. The pipeline systems can include, for example, the boiler system, steam pipeline system, water treatment system, cooling water system, drain system, etc. The inspection type can be divided into conventional island inspection and nuclear island inspection. The visual inspection status can be divided into hot state, cold state, and hot state re-inspection, etc. In this embodiment, the inspection personnel create inspection tasks through the interaction interface provided by the intelligent inspection terminal. When creating a task, the inspection personnel can select the pipeline systems involved in the current inspection in the database built into the intelligent inspection terminal and enter the corresponding inspection round and inspection type. The inspection task information can be stored in a structured format (such as JSON / XML) or a semi-structured format (such as text description). For example, when stored in a semi-structured format, the text description of the inspection task information can be: Conduct the 5th major overhaul inspection on the supports and hangers of the boiler system, steam pipeline system, and cooling water system in area A.

[0054] In an embodiment of the present invention, the intelligent inspection terminal is the application carrier for implementing the present invention and can be used to standardize the electronic process of pipeline inspection, such as realizing functions like drawing management, inspection task management, maintenance task recording, data management, historical data analysis, etc. The intelligent inspection terminal can further be combined with AR glasses to achieve remote guidance and supervision. In this embodiment, the intelligent inspection terminal can adopt the Android 10 system, its processing core can adopt an octa-core CPU, and the CPU main frequency can reach 2.0 GHz; its memory adopts 4GB of LPDDR4 high-speed memory; its storage capacity is 64GB and supports Micro SD card expansion, with a maximum expandable capacity of 1TB. The protection level of the intelligent inspection terminal can reach IP65, that is, it has the dust-proof ability of IP6X level and the water resistance ability of IPX5 level.

[0055] The intelligent inspection terminal has multiple functional modules, such as a display module, a wireless transmission module, a security encryption module, and a photographing module. Among them, the display module uses an integrated multi-touch capacitive screen with a resolution of not less than 1280×800, and can be configured with a PowerVR Rogue GE8320 display chip. The wireless transmission module integrates a full-network 4G module and communication modules such as WiFi, Bluetooth, and GPS, and can support multiple wireless communication methods to meet the data transmission requirements in different scenarios. The security encryption module uses a SoC integrated security execution environment (Trustonic TEE) to ensure the secure storage of data and passwords. The camera of the photographing module is 12 million pixels, supports OIS optical image stabilization, and supports a digital zoom of not less than 18 times.

[0056] The AR glasses are equipped with a high-performance vision processing chip, such as using Movidius TM Myriad TM 2 chip, which has powerful edge computing capabilities and can achieve 1 trillion operations per second. In this embodiment, the AR glasses may further include a display module, a voice interaction module, a sensing module, and a camera module. Among them, the display module uses an LED screen with a resolution of 640×400, a field of view angle of 20°, and a contrast ratio of not less than 100000:1. The voice interaction module uses a digital noise reduction microphone and a single speaker to enable voice interaction. The sensing module is configured with a 6-axis sensor, a compass, and a light sensor, and can sensitively identify interactive operations such as gestures. The camera module is equipped with a rotatable camera, with a photographing pixel of 13 million, and the video recording supports 1080P full high-definition video. Further, the AR glasses adopt a modular design in terms of structure, and its weight is less than or equal to 50 grams. The intelligent module part can be removed and used in special operation scenarios. The intelligent module part of the AR glasses can be installed on special wearable devices such as goggles, safety helmets, and helmets. In addition, the AR glasses meet the IP67 protection standard and have the capabilities of waterproof, dustproof, and explosion-proof.

[0057] In an embodiment of the present invention, when step S200 is executed, that is, according to the inspection task information, the corresponding hanger and support point information is extracted from the preset pipeline information library. Specifically, according to the inspection range indicated in the inspection task information, such as a specific pipeline system or area, the hanger and support point information related to the task is accurately extracted to provide data support for subsequent inspection operations. In this embodiment, step S200 may include the following steps:

[0058] Step S210: Extract the information of multiple pipeline systems involved in the task from the inspection task information;

[0059] Step S220: Match the information of multiple pipeline systems with the pipeline information library respectively to obtain the hanger suspension point information corresponding to each pipeline system.

[0060] In an embodiment of the present invention, when step S210 is executed, that is, the information of multiple pipeline systems involved in the task is extracted from the inspection task information. Specifically, when the inspection task information is stored in structured data, its fields can be directly parsed to extract the names of multiple pipeline systems involved in this task. When the inspection task information is stored in semi-structured data, keywords can be extracted through NLP (Natural Language Processing). For example, from "Conduct the 5th major overhaul inspection on the hangers of the boiler system, steam pipeline system, and cooling water system in Area A", the boiler system, steam pipeline system, and cooling water system are extracted.

[0061] In an embodiment of the present invention, when step S220 is executed, that is, the information of multiple pipeline systems is respectively matched with the pipeline information library to obtain the hanger suspension point information corresponding to each pipeline system. Specifically, first, match the names of multiple pipeline systems extracted from the inspection task information with the names in the preset pipeline information library. In this embodiment, when performing name matching, fuzzy matching or synonym library processing can be used. For example, match "boiler system" with "boiler main system" in the database. If the system name in the task does not exist in the preset library, an alarm is triggered and the user is prompted to confirm. For example, "Unknown system detected: cooling water system".

[0062] Then, based on the successfully matched names, obtain the hanger suspension point information corresponding to each pipeline system from the pipeline information library. The hanger suspension point information indicates the position coordinate information of the suspension points of the corresponding pipeline system. In addition, the hanger suspension point information also includes the design drawings of the corresponding pipeline system, which can be used for comparison and viewing during inspection. Further, the hanger suspension point information can also include historical photos and historical defect records of the hanger suspension points, and on-site judgment can be assisted by comparing the historical photos.

[0063] In an embodiment of the present invention, the data in the pipeline information library is input according to the following steps:

[0064] Step S610: Parse and process the design drawings of all obtained pipeline systems, extract the numbers, position coordinates, and design loads of the hanger suspension points in each pipeline system, and save them in the corresponding hanger suspension point information in a preset format;

[0065] Step S620: Import the hanger suspension point information into the pipeline information library.

[0066] In an embodiment of the present invention, when steps S610 to S620 are executed, specifically, first, obtain the design drawings of the complete pipeline system from the design source, and ensure the integrity and accuracy of the data. Then, perform parsing processing on the design drawings to extract key data and save it in a preset format. For example, when the design drawings are in CAD format, the DWG / DXF files can be parsed through the ezdxf library of Python to extract layers, annotations, attribute blocks, etc. When the design drawings are three-dimensional models, the information of the supports and hangers in the three-dimensional model can be extracted through the Revit API or IFC parser (such as IfcOpenShell). Further, for complex drawings, the key points can be manually marked using CAD software and then the data can be exported. When extracting information, first, locate the support and hanger objects, which can be quickly located through layer filtering (such as the "support layer") or keyword search (such as "hanging point", "support and hanger"); then, extract the attribute fields. For example, extract information such as the number, position coordinates, and design load of the support and hanger. Then, save the above information as structured data in a preset format for subsequent querying and importing into the database. In this embodiment, the preset format can be, for example, CSV / Excel format or JSON format. After the information extraction is completed, the support and hanger hanging point information with a standardized data structure is imported into the pipeline information library. Through the above steps, the pipeline information library can efficiently and accurately integrate the design data, providing reliable basic data support for subsequent inspection task allocation, defect analysis, and maintenance decision-making.

[0067] In an embodiment of the present invention, when step S300 is executed, that is, according to the position coordinates of the hanging points in the support and hanger hanging point information, collect the inspection pictures of the hanging points and their surroundings. Specifically, according to the position coordinates of the hanging points in the support and hanger hanging point information extracted in step S200, plan the optimal inspection route, and collect the inspection pictures of all the support and hanger hanging points in sequence to ensure the inspection efficiency and data accuracy. In this embodiment, step S300 may include the following steps:

[0068] Step S310: Based on the position coordinates of the hanging points in the support and hanger hanging point information, plan and generate an inspection route;

[0069] Step S320: According to the inspection route, collect the inspection pictures of each support and hanger hanging point in sequence.

[0070] In an embodiment of the present invention, when step S310 is executed, that is, based on the position coordinates of the suspension points in the support and hanger suspension point information, an inspection route is planned and generated. Specifically, first, the preset inspection starting point and all suspension point coordinates are uniformly converted into longitude and latitude (such as WGS-84) or the in-plant coordinate system to ensure the accuracy of subsequent path planning. Then, the optimal path planning is carried out based on the converted position coordinates. For example, approximate algorithms (such as the nearest neighbor algorithm, Christofides algorithm) or heuristic algorithms (such as genetic algorithms) can be used to find the shortest path to visit all suspension points. Or, the suspension points are divided by area or floor, and the paths are planned in batches to avoid long-distance movement. When planning the inspection route, constraint conditions can be added. For example, obstacles (such as equipment-intensive areas, safety restricted areas) are avoided, or high-risk suspension points (such as high-risk areas in historical defect records) are preferentially processed.

[0071] In an embodiment of the present invention, when step S320 is executed, that is, according to the inspection route, inspection pictures of each support and hanger suspension point are collected in sequence. Specifically, first, the intelligent inspection terminal can be used to locate the inspection personnel, and the inspection path is displayed on the display screen of the intelligent inspection terminal and / or the display module of the AR glasses. Further, step descriptions (such as "walk 100 meters north to SP-001") can be added to the path, and the distance between the current position and the target point is displayed in real time. When the inspection personnel move near the suspension point, for example, when the distance is <5 meters, the intelligent inspection terminal can automatically pop up the camera interface, and according to the type of the suspension point, prompt the inspection personnel to take multi-angle photos of the suspension point and its surroundings. In this embodiment, information such as the suspension point ID, coordinates, and time stamp can be embedded in the picture EXIF or attached to the metadata of the inspection picture.

[0072] In this embodiment, if the inspection personnel do not take pictures after arriving at the suspension point, the system triggers a reminder, for example: Please take a front photo of the support and hanger suspension point SP-001. Further, the inspection can also be carried out by the suspension point number to avoid repeated shooting of the same suspension point. It can be seen that the inspection personnel can complete the task under the visual guidance such as the combination of the support and hanger suspension point information and the drawing navigation through the intelligent inspection terminal during the execution of the inspection task, avoiding going astray and missing inspections. During the inspection process, through data collection (such as temperature, pressure, vibration, etc.), compared with information such as pipeline type, pipe diameter, working load, and defect type, it is observed whether there are defects such as fracture, corrosion, and inclination; through image recognition technologies such as taking pictures and videos, it is checked whether there are defects such as pipeline displacement, correct hanger load, and deformation of accessories, and corresponding defects are ticked and photographed for recording.

[0073] Record all inspection tasks in the management interface of the intelligent inspection terminal, display them classified according to the task completion status, use different colors to distinguish the inspection types and visual inspection status, and display the start and end times of maintenance, the total number of inspections, the number of inspections completed, the number of uninspected items, and the number of defects, helping the inspection personnel to intuitively query the historical inspection task records and facilitating data comparison. Solve problems such as wrong intervals, missed inspections, personnel skill limitations, inability to view historical data, guidance, review, low QC efficiency, and manual data entry in conventional inspections, and realize functions such as identifying the working location, standard work process, marking of doubtful points, reference to historical data, remote expert support, and prompting of standards and technical key points.

[0074] In an embodiment of the present invention, when step S400 is executed, that is, defect identification is performed on the inspection pictures of all hanger points of the supports and hangers to generate defect data of all hanger points of the supports and hangers. Specifically, image processing technology is used to compare and process the inspection pictures collected in step S300 with the historical pictures of the hanger points of the supports and hangers, analyze the differences between the two, and thus generate corresponding defect data. In this embodiment, step S400 may specifically include the following steps:

[0075] Step S410: Compare and process the inspection pictures of each hanger point of the supports and hangers with the corresponding historical pictures to generate image difference data;

[0076] Step S420: Based on the image difference data, judge the corresponding defect type and defect level to generate defect data of all hanger points of the supports and hangers.

[0077] In an embodiment of the present invention, when step S410 is executed, that is, the inspection pictures of each hanger point of the supports and hangers are compared and processed with the corresponding historical pictures to generate image difference data. Specifically, it may include the following steps:

[0078] Step S411: Perform key area marking processing on the inspection pictures and the corresponding historical pictures;

[0079] Step S412: Extract and compare the appearance features and structural features of the marked inspection pictures and the corresponding historical pictures to generate image difference data.

[0080] In an embodiment of the present invention, when step S411 is executed, that is, key area annotation processing is performed on the inspection pictures and the corresponding historical pictures. Specifically, first, according to the three-dimensional coordinate information of the hanger points, ensure that the shooting angles and perspectives of the current inspection picture and the historical picture are the same. For example: the top view and side view of the same hanger point need to be aligned. The images are subjected to perspective transformation, rotation, and scaling through an image processing software (such as OpenCV) to eliminate the deformation caused by the shooting angle or equipment movement. Then, adjust the brightness and contrast to eliminate the influence of environmental light differences on image comparison. For example, the lighting conditions of images taken during the day and at night need to be unified. Then, according to the structural characteristics of the hanger type, key areas are marked, such as the spring compression amount, displacement indicator, weld, bottom plate, etc.; and the areas that need to be compared key are framed using a bounding box or ROI (Region of Interest), such as the compression position of the spring and the displacement trace of the hanger bottom plate.

[0081] In an embodiment of the present invention, when step S412 is executed, that is, the appearance features and structural features of the annotated inspection pictures and the corresponding historical pictures are extracted and compared to generate image difference data. Specifically, first, feature extraction is performed on the inspection pictures and the corresponding historical pictures of each hanger point, which may include appearance feature extraction and structural feature extraction. Among them, the specific steps of appearance feature extraction are to first extract the texture, color, edges and other features of the historical picture and the current image. For example, the gray value of the rust area and the edge contour of the crack. Then, compare the abnormal areas on the surface of the hanger, such as newly emerged cracks and expanding corrosion. The steps of structural feature extraction are to first extract the position of the displacement indicator marked in the historical picture and compare it with the actual displacement amount in the current image. Then, through image segmentation technology, analyze the deformation of the hanger components to detect the state of key components, such as whether the spring is compressed and unloaded or whether the damper is jammed. Then, according to the comparison results of the appearance features and the comparison results of the structural features, corresponding image difference data are generated.

[0082] In one embodiment of the present invention, when step S420 is executed, the corresponding defect type and defect level are determined based on the image difference data, and defect data of all support and hanger points are generated. Specifically, the defect types may include appearance defects, structural defects, and functional defects. Among them, appearance defects can be determined by, for example, color threshold analysis to determine whether the rust area exceeds the threshold, or detecting whether the edge contour is broken or discontinuous to determine whether there are cracks or weld cracks. Structural defects can be determined by, for example, calculating the difference between the current displacement and the historical value based on the allowable displacement range of the support and hanger design to determine whether it exceeds the limit; or determining whether the deformation is abnormal through geometric measurement. Functional defects can be determined by, for example, comparing the spring compression with historical data to determine whether it is completely compressed due to overload; or detecting whether the support and hanger is detached from the load (for example, the spring is not under force) or cannot move freely (for example, the damper is stuck).

[0083] Defect levels can range from urgent to severe, and from general to common. Urgent defects, such as severe displacement exceeding limits, weld cracking, risk of support and hanger breakage, and fully compressed springs causing pipe sinking, require immediate attention. Severe defects, such as corrosion exceeding a threshold that could affect structural strength, or displacement approaching design limits, require immediate attention. General defects, such as minor corrosion or slight changes in displacement, or minor weld cracking that does not extend, require planned maintenance.

[0084] Based on the above standards, the defects detected in the image difference data generated in step S410 are judged, thereby generating defect data of all the hanging points of the support brackets.

[0085] Furthermore, a structured defect report can be generated based on defect data. This report includes information such as the system, hanging point number, defect type, defect grade, location coordinates, and quantitative data. Furthermore, defect reports can be visualized. For example, image overlay comparison can be used to overlay historical images with current images, highlighting areas of difference with different colors, or heat maps can be used to display the severity distribution of defects at each hanging point.

[0086] In one embodiment of the present invention, when step S500 is executed, a corresponding maintenance plan is generated based on all defect data. Specifically, first, the input defect data is standardized, and the defect type, system to which it belongs, and defect level are classified and analyzed. Then, in combination with historical inspection data, a time series analysis method (ARIMA model) and a machine learning algorithm (decision tree, neural network) are used to predict defect trends. Based on the rule engine and data analysis results, intelligent decision-making suggestions are generated, and based on the data analysis results, corresponding inspection strategy optimization suggestions are provided. The template engine (JasperReports) can also be used to generate inspection reports. At the same time, corrections can also be made based on multi-dimensional data such as the material of the support bracket, service life, environmental factors, historical fault records, etc. After the inspector enters the maintenance list, the software intelligently generates a maintenance plan for the defect based on the defect type, level, equipment information, and historical maintenance data.

[0087] Furthermore, maintenance personnel can repair defects according to the maintenance plan, and can track and update the maintenance progress through the intelligent inspection terminal. According to the four categories of ticket collection, scaffolding preparation, insulation preparation, and maintenance, the current status of each defect (not carried out, in progress, not applicable, completed) is displayed. Maintenance personnel or the system will automatically proceed according to the progress of maintenance to ensure the real-time and accuracy of the information.

[0088] In this embodiment, maintenance personnel can wear AR glasses and use AR technology to seek assistance from remote online experts while performing maintenance. Inspection personnel wearing AR glasses transmit a first-person view of the scene to the remote expert in real time. The expert can view the on-site situation via a mobile phone, tablet, or PC, while the remote expert can simultaneously view the on-site image and relevant data, ensuring information synchronization. Combined with AR annotation and voice guidance, this helps on-site personnel quickly resolve complex issues and improve inspection efficiency and accuracy.

[0089] The present invention is developed through intelligent decision-making assistance technology to solve the problems of inconsistent problem description and location description in routine inspections, single-point data, which is not conducive to systematic analysis, offline decision-making, repeated confirmation, time-consuming and labor-intensive problems, and realizes functions such as standardized defect description, data trend display, mature solution recommendation, risk reminder, and prompt experience feedback link.

[0090] In one embodiment of the present invention, after the maintenance personnel complete the repair process of the defect, they can also perform a maintenance effect inspection, which can specifically include the following steps:

[0091] Step S710: Collect inspection pictures of the hanger points after maintenance;

[0092] Step S720: Analyze and process the inspection pictures collected after maintenance to determine whether the corresponding support and hanger points have returned to normal.

[0093] In one embodiment of the present invention, when performing steps S710 to S720, specifically, first, according to the numbers of the supports and hangers involved in the maintenance plan, corresponding inspection tasks are generated. Then, the intelligent inspection terminal is used to collect inspection pictures of the hanger points of the supports and hangers after maintenance according to the operation standards. Next, the defect-free reference images of this type of support and hanger are retrieved from the standard library, and the last inspection image before repair is retrieved. By comparing the images before and after maintenance, it is confirmed whether the defects disappear and whether the hangers of the supports and hangers return to normal. If it does not return to normal, a reminder message is generated to prompt the maintenance personnel. It can be seen from the above steps that the system can efficiently and accurately verify the maintenance effect, ensure the safety and reliability of industrial pipeline supports and hangers, and at the same time reduce the costs of manual intervention and repeated maintenance.

[0094] Please refer to Figure 2 , the present invention also provides an inspection system for industrial pipelines, which corresponds one-to-one with the inspection method in the above embodiment. The inspection system may include a task acquisition module 11, a data acquisition module 12, a picture acquisition module 13, a defect identification module 14, and a maintenance support module 15. The detailed descriptions of each functional module are as follows:

[0095] The task acquisition module 11 can be used to acquire inspection task information. Further, the task acquisition module 11 can have a function of acquiring the inspection task information input by the inspection personnel. The inspection task information indicates the inspection round of the current inspection task, multiple pipeline systems involved, inspection type, visual inspection status, etc. Among them, the inspection round can be, for example, the Xth major overhaul inspection. The pipeline systems can include, for example, a boiler system, a steam pipeline system, a water treatment system, a cooling water system, a drain system, etc. The inspection type can be divided into conventional island inspection and nuclear island inspection. The visual inspection status can be divided into hot state, cold state, and hot state re-inspection, etc. In this embodiment, the inspection personnel create an inspection task through the interaction interface provided by the intelligent inspection terminal. When creating a task, the inspection personnel can select the pipeline systems involved in the current inspection in the database built in the intelligent inspection terminal, and enter the corresponding inspection round and inspection type. The inspection task information can be stored in a structured format (such as JSON / XML) or a semi-structured format (such as text description).

[0096] The data acquisition module 12 can be used to extract the corresponding hanger point information of the supports and hangers from the preset pipeline information library according to the inspection task information. Further, the data acquisition module 12 can have a function of extracting the names of multiple pipeline systems involved in the task from the inspection task information; matching the names of the multiple pipeline systems with the names in the pipeline information library respectively to obtain the hanger point information corresponding to each pipeline system.

[0097] The image acquisition module 13 can be used to acquire inspection pictures of all hanger points of the support and hanger according to the position coordinates of the hanger points in the support and hanger point information. Further, the image acquisition module 13 can be configured to plan and generate an inspection route based on the position coordinates of the hanger points in the support and hanger point information, and acquire inspection pictures of each hanger point of the support and hanger in sequence according to the inspection route.

[0098] The defect identification module 14 can be used to identify defects in the inspection pictures of all hanger points of the support and hanger and generate defect data of all hanger points of the support and hanger. Further, the defect identification module 14 can be configured to compare and process the inspection pictures of each hanger point of the support and hanger with the corresponding historical pictures to generate image difference data, and judge the corresponding defect type and defect level based on the image difference data to generate defect data of all hanger points of the support and hanger.

[0099] The maintenance support module 15 can be used to generate corresponding maintenance plans based on all defect data. Further, the maintenance support module 15 can be configured to first, perform standardization processing on the input defect data, and classify and analyze the defect type, the affiliated system, and the defect level. Then, in combination with historical inspection data, adopt time series analysis methods (ARIMA model) and machine learning algorithms (decision tree, neural network) to predict defect trends, generate intelligent decision-making suggestions based on the rule engine and data analysis results, and provide corresponding inspection strategy optimization suggestions based on the data analysis results. It can also use a template engine (JasperReports) to generate inspection reports. At the same time, it can be corrected by combining multi-dimensional data such as the material, service life, environmental factors, and historical fault records of the support and hanger. After the inspector enters the maintenance list, the software intelligently generates a maintenance plan for the defect according to the defect type, level, equipment information, and historical maintenance data.

[0100] For the specific limitations of the inspection system for industrial pipelines, reference can be made to the limitations on the inspection method in the above text, which will not be elaborated here. Each module in the above inspection system can be implemented in whole or in part through software, hardware, and their combinations. The above-mentioned modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0101] An embodiment of the present invention further provides an electronic device, including: one or more processors; a storage device for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic device realizes the inspection method for nuclear power design documents provided in the above embodiments.

[0102] Please refer to Figure 3, the electronic device 2 may include a memory 21, a processor 22, and a bus. It may also include a computer program stored in the memory 21 and executable on the processor 22, such as an inspection program for industrial pipelines.

[0103] Among them, the memory 21 includes at least one type of readable storage medium. The readable storage medium includes flash memory, mobile hard disks, multimedia cards, card-type memories (such as SD or DX memories, etc.), magnetic memories, magnetic disks, optical discs, etc. In some embodiments, the memory 21 may be an internal storage unit of the electronic device 2, such as the mobile hard disk of the electronic device 2. In other embodiments, the memory 21 may also be an external storage device of the electronic device 2, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the electronic device 2. Further, the memory 21 may also include both the internal storage unit and the external storage device of the electronic device 2. The memory 21 can not only be used to store application software installed on the electronic device 2 and various types of data, such as the code for inspecting industrial pipelines, etc., but also be used to temporarily store data that has been output or will be output.

[0104] In some embodiments, the processor 22 may be composed of integrated circuits. For example, it may be composed of a single packaged integrated circuit, or may be composed of multiple integrated circuits with the same or different functions, including a combination of one or more Central Processing Units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips, etc. The processor 22 is the control core (Control Unit) of the electronic device 2, connecting all components of the entire electronic device 2 through various interfaces and lines. By running or executing programs or modules stored in the memory 21 (such as the inspection program for industrial pipelines, etc.), and by calling data stored in the memory 21, it performs various functions of the electronic device 2 and processes data.

[0105] The processor 22 executes the operating system of the electronic device 2 and various installed application programs. The processor 22 executes the application programs to implement the steps in the above-mentioned inspection method for industrial pipelines.

[0106] Exemplarily, a computer program can be divided into one or more modules. One or more modules are stored in the memory 21 and executed by the processor 22 to complete the present application. One or more modules can be a series of computer program instruction segments capable of completing specific functions, and these instruction segments are used to describe the execution process of the computer program in the electronic device 2. For example, the computer program can be divided into a task acquisition module 11, a data acquisition module 12, a picture acquisition module 13, a defect identification module 14, and a maintenance support module 15.

[0107] The integrated units implemented in the form of software function modules as described above can be stored in a computer-readable storage medium. The computer-readable storage medium can be non-volatile or volatile. The above software function modules are stored in a storage medium and include several instructions for causing a computer device (which can be a personal computer, a computer device, or a network device, etc.) or a processor to execute some functions of the inspection method for industrial pipelines in various embodiments of the present application.

[0108] In summary, an inspection method, system, device, and medium for industrial pipelines disclosed in the present invention can be specifically applied to solve the technical problems existing in the manual paper-based operation mode for pipeline inspection work, such as insufficient process standardization, low data transfer efficiency, dependence on manual perception and text description, and incomplete collection of status information. Through the electronic and visual management of inspection tasks, intelligent assistance during the inspection process, trend analysis of inspection results, and intelligent decision-making assistance, the present invention can improve the quality and efficiency of inspection work, reduce the risk of human errors, ensure the normal operation of the pipeline system, and lay a foundation for intelligent integrated inspection. Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0109] The above embodiments are only illustrative of the principles and effects of the present invention and are not used to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes completed by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. An inspection method for industrial pipelines, characterized in that, Including: Obtain inspection task information; According to the inspection task information, extract corresponding hanger suspension point information from a preset pipeline information library; Collect inspection pictures of the suspension point and its surrounding area according to the position coordinates of the suspension point in the hanger suspension point information; Perform defect identification on the inspection pictures of all hanger suspension points to generate defect data of all hanger suspension points; Generate a corresponding maintenance plan based on all the defect data.

2. The inspection method for industrial pipelines according to claim 1, wherein The step of obtaining the suspension point information of the target inspection equipment according to the inspection task information includes: Extract information on multiple pipeline systems involved in the task from the inspection task information; Perform matching processing on the information of multiple pipeline systems with the pipeline information library respectively to obtain the hanger suspension point information corresponding to each pipeline system.

3. The inspection method for industrial pipelines according to claim 1, characterized in that, The step of collecting inspection pictures of the suspension point and its surrounding area according to the position coordinates of the suspension point in the hanger suspension point information includes: Based on the position coordinates of the suspension point in the hanger suspension point information, plan and generate an inspection route; According to the inspection route, sequentially collect inspection pictures of each hanger suspension point.

4. The inspection method of industrial pipelines according to claim 1, wherein The step of performing defect identification on the inspection pictures of all hanger suspension points to generate defect data of all hanger suspension points includes: Compare the inspection pictures of each hanger suspension point with the corresponding historical pictures to generate image difference data; Based on the image difference data, judge the corresponding defect type and defect level to generate defect data of all hanger suspension points.

5. The inspection method for industrial pipelines according to claim 4, characterized in that, The step of comparing the inspection pictures of each hanger suspension point with the corresponding historical pictures to generate image difference data includes: Perform key area annotation processing on the inspection pictures and the corresponding historical pictures; Extract and compare the appearance features and structural features of the inspected pictures and the corresponding historical pictures after annotation to generate image difference data.

6. The inspection method for industrial pipelines according to claim 1, wherein, Before the step of extracting the corresponding hanger suspension point information from the preset pipeline information library according to the inspection task information, it further includes: Parse the design drawings of all obtained pipeline systems, extract the numbers, position coordinates and design loads of the hanger suspension points in each pipeline system, and save them in the corresponding hanger suspension point information in a preset format; Import the hanger suspension point information into the pipeline information library.

7. The inspection method of industrial pipelines according to claim 1, characterized in that After the step of generating a corresponding maintenance plan based on all the defect data, it further includes: Collect inspection pictures of the hanger suspension point after maintenance; Analyze the inspection pictures collected after maintenance to judge whether the corresponding hanger suspension point has returned to normal.

8. An inspection system for industrial pipelines, characterized in that, Including: A task acquisition module for obtaining inspection task information; A data acquisition module for extracting corresponding hanger suspension point information from a preset pipeline information library according to the inspection task information; A picture acquisition module for collecting inspection pictures of the suspension point and its surrounding area according to the position coordinates of the suspension point in the hanger suspension point information; A defect identification module for performing defect identification on the inspection pictures of all hanger suspension points to generate defect data of all hanger suspension points; A maintenance support module for generating a corresponding maintenance plan based on all the defect data.

9. An electronic device, characterized in that: The electronic device includes: One or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the inspection method of the industrial pipeline according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, A computer program is stored thereon, which, when executed by a processor of a computer, causes the computer to execute the inspection method of the industrial pipeline according to any one of claims 1 to 7.

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