Automatic detection method and device for pipeline information in ship design software, electronic equipment and medium

By automatically detecting pipeline information in ship design software, the complex and error-prone problems of manual verification are solved, and efficient and accurate pipeline parameter detection is achieved to ensure design quality and safety.

CN120408852APending Publication Date: 2025-08-01GUANGZHOU SHIPYARD INTERNATIONAL LTD
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Patent Information

Application Number
CN202510527448.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-25
Publication Date
2025-08-01

AI Technical Summary

Technical Problem

In the prior art, the verification of pipeline parameters in ship design software is complex and prone to errors, resulting in design defects.

Method used

By implementing automatic detection of pipeline information in ship design software, the specification book information is compared with the ship schematic data, and automatically identify whether the pipeline specification book and parameters are consistent, and an error alarm prompt is generated to realize the automated detection process.

Benefits of technology

Improve pipeline inspection efficiency, reduce manual operation errors, and ensure design quality and safety.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an automatic detection method and device for pipeline information in ship design software, electronic equipment and a medium, and belongs to the technical field of ship design. The method comprises the steps that pipeline selection operation is received, and a detected target pipeline is determined; reading specification information and current parameter information of the target pipeline; obtaining standard parameters of the target pipeline from the ship body design schematic diagram; identifying whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline; if not, generating a specification information error alarm prompt; if so, identifying whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameter in the specification information; and if not, generating a current parameter information error alarm prompt. According to the scheme, whether the specifications and the parameters of the pipeline are correct or not can be efficiently detected, the pipeline detection efficiency is improved, meanwhile, the automatic detection process can be achieved, and errors caused by manual input or manual detection and the like are avoided.
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Description

Technical Field

[0001] This application belongs to the technical field of ship design, and particularly relates to an automatic detection method, device, electronic device and medium for pipeline information in ship design software. Background Art

[0002] When using ship design software for ship design, a large amount of pipeline design is involved. There are parameter differences in the pipelines of different systems, and even in the pipelines of different segments in the same system, their respective parameters will also be different. Therefore, a large amount of pipeline parameter verification work is required. The current manual verification method is complex, and there may be verification errors without understanding the functional requirements, which makes the ship design defective.

[0003] Therefore, how to quickly and accurately implement the design and data accuracy detection of ship pipelines is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0004] The purpose of the embodiments of this application is to provide an automatic detection method, device, electronic device and medium for pipeline information in ship design software, aiming to solve problems such as low efficiency and easy errors in the traditional manual detection of ship pipeline design parameters. This solution extracts the information of the pipeline specification and parameters in the ship model, and compares it with the data in the ship schematic diagram to efficiently detect whether the pipeline specification is correct and whether the parameters are correct. While improving the pipeline detection efficiency, it can also implement an automated detection process without manual operation by staff, avoiding errors introduced by manual input or manual detection.

[0005] In a first aspect, the embodiments of this application provide an automatic detection method for pipeline information in ship design software, and the method includes:

[0006] Receive a pipeline selection operation to determine the target pipeline for detection;

[0007] Read the specification information of the target pipeline and the current parameter information of the target pipeline;

[0008] Obtain the standard parameters of the target pipeline from the hull design schematic diagram;

[0009] Identify whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline;

[0010] If they are inconsistent, generate an alarm prompt for incorrect specification information of the target pipeline;

[0011] If they are consistent, identify whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information;

[0012] If they do not correspond, an error warning prompt for the current parameter information of the target pipeline is generated.

[0013] Further, receiving a pipeline selection operation to determine the target pipeline to be detected includes:

[0014] Receiving a selection operation for the hull section, and determining that all pipelines within the selected hull section are the target pipelines to be detected;

[0015] And / or,

[0016] Receiving a selection operation for the pipeline function, and determining that all pipelines with the selected target function are the target pipelines to be detected.

[0017] Further, identifying whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline includes:

[0018] Identifying whether the specification information of the target pipeline is unified specification information;

[0019] If so, identifying whether the specification information of the target pipeline is consistent with the standard parameters;

[0020] If not, performing segmented processing based on the differences in the specification information to obtain segmented pipelines with at least two types of specification information;

[0021] For each segmented pipeline, identifying whether the specification information is consistent with the standard parameters.

[0022] Further, generating an error warning prompt for the specification information of the target pipeline includes:

[0023] Counting the identification results of all pipeline segments of the target pipeline, and differentially displaying the segmented pipelines identified as inconsistent.

[0024] Further, identifying whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information includes:

[0025] Obtaining the current parameter information of each pipeline in the target pipeline, where the current parameter information includes outer diameter information, wall thickness information, and material information;

[0026] Reading the target parameters of each pipeline in the target pipeline from the specification information, where the target parameters include target outer diameter, target wall thickness, and target material;

[0027] When any one of the outer diameter information does not correspond to the target outer diameter, the wall thickness information does not correspond to the target wall thickness, and the material information does not correspond to the target material, it is determined that the current parameter information of the current pipeline does not correspond to the target parameter in the specification information;

[0028] Traverse all pipelines in the target pipeline.

[0029] Furthermore, the method is executed by a detection and statistics applet.

[0030] Furthermore, after determining the target pipeline to be detected in the detection and statistics applet, a graphical display of the target pipeline is performed.

[0031] In a second aspect, an embodiment of the present application provides an automatic detection device for pipeline information in a ship design software, and the device includes:

[0032] A target pipeline determination module, configured to receive a pipeline selection operation and determine the target pipeline to be detected;

[0033] An information acquisition module, configured to read the specification information of the target pipeline and the current parameter information of the target pipeline;

[0034] A standard parameter acquisition module, configured to acquire the standard parameters of the target pipeline from the ship hull design schematic diagram;

[0035] A specification comparison module, configured to identify whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline;

[0036] A specification error warning module, configured to generate a warning prompt for the error of the specification information of the target pipeline if they are inconsistent;

[0037] A parameter comparison module, configured to identify whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameter in the specification information if they are consistent;

[0038] A parameter error warning module, configured to generate a warning prompt for the error of the current parameter information of the target pipeline if they do not correspond;

[0039] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented.

[0040] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0041] In a fifth aspect, an embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor, and the processor is configured to run a program or an instruction to implement the method described in the first aspect.

[0042] In an embodiment of the present application, a receiving pipeline selection operation is received to determine a target pipeline to be detected; specification information of the target pipeline and current parameter information of the target pipeline are read; standard parameters of the target pipeline are obtained from a hull design schematic diagram; it is identified whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline; if not, an alarm prompt for incorrect specification information of the target pipeline is generated; if so, it is identified whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information; if not, an alarm prompt for incorrect current parameter information of the target pipeline is generated. Through the above technical solution, by extracting the information of the pipeline specification and parameters in the ship model and comparing it with the data in the ship schematic diagram, the detection of whether the pipeline specification is correct and whether the parameters are correct can be efficiently performed, improving the pipeline detection efficiency and realizing an automated detection process without manual operation by staff, thus avoiding errors introduced by manual input or manual detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a schematic flow chart of a method for automatically detecting pipeline information in a ship design software provided in Embodiment 1 of the present application;

[0044] Figure 2 is a schematic diagram of an operation interface of a detection and statistics applet provided in Embodiment 2 of the present application;

[0045] Figure 3 is a schematic structural diagram of an apparatus for automatically detecting pipeline information in a ship design software provided in Embodiment 3 of the present application;

[0046] Figure 4 is a schematic structural diagram of an electronic device provided in Embodiment 4 of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0047] To make the objectives, technical solutions, and advantages of this application clearer, the following provides a more detailed description of specific embodiments of this application with reference to the accompanying drawings. It can be understood that the specific embodiments described herein are merely for explaining this application and not for limiting this application. Additionally, it should be noted that for ease of description, only parts related to this application rather than all content are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operations are completed, but it can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, and so on.

[0048] The following will clearly describe the technical solutions in the embodiments of this application with reference to the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are some, but not all, of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application fall within the scope of protection of this application.

[0049] The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of this application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same category, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the description and claims means at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the associated objects before and after.

[0050] The following, with reference to the accompanying drawings, through specific embodiments and their application scenarios, provides a detailed description of the automatic detection method, device, electronic device, and medium for pipeline information in the ship design software provided by the embodiments of this application.

[0051] Embodiment 1

[0052] Figure 1 is a schematic flowchart of the automatic detection method for pipeline information in the ship design software provided by Embodiment 1 of this application. As Figure 1 shown, it specifically includes the following steps:

[0053] S101, Receive a pipeline selection operation and determine the target pipeline to be detected;

[0054] First, the present application is applicable to the scenario of ship model design. Based on the above usage scenario, it can be understood that the execution subject of the present application can be an electronic device for ship model design. The electronic device can include intelligent terminals, mobile terminals, and clients that interact with servers, etc.

[0055] A pipeline can be a channel structure for conveying various media in ship engineering. These media can be liquids, such as fuel oil, fresh water, and seawater, for power supply, domestic water, etc. of the ship; or they can be gases, such as compressed air, for starting engines and controlling valves, etc. Different types of pipelines vary in terms of material, pipe diameter, and connection method, etc., to adapt to the characteristics and conveying requirements of different media.

[0056] The pipeline selection operation can be an interactive instruction action issued by the staff, and its implementation methods are diverse. In a modern ship control system, there may be a dedicated operation interface, which can be a touch - screen - based human - machine interaction interface. The staff selects by clicking on the icons representing different pipelines on the screen with their fingers; or it can be a traditional console, and selection information is input through devices such as buttons and knobs. In addition, it may also be through a remote control system, using network communication technology, to send selection instructions from an on - shore monitoring center or other ships.

[0057] The target pipeline can be a specific pipeline selected from numerous pipelines and is the object of subsequent detection and analysis. In the complex pipeline network of a ship, each pipeline has its specific number, location, and function. The target pipeline determined through the pipeline selection operation will have a clear identifier so that the system can accurately perform subsequent processing on it.

[0058] In this solution, various technical means can be used to receive pipeline selection operation information. For touch - screen - based operations, the touch screen itself integrates touch sensors. When the staff touches the screen, the sensors will detect the touch position and action, convert them into electrical signals, and then transmit them to the processor of the control system through the circuit. For selection instructions of remote control, the system will receive data packets from remote devices through the network interface, use network protocols to parse these data packets, and extract the selection information from them.

[0059] Through precise pipeline selection, this solution provides a clear target for subsequent detection work, avoids unnecessary detection of the entire pipeline system, and greatly improves the pertinence and efficiency of detection.

[0060] S102, read the specification information of the target pipeline and the current parameter information of the target pipeline;

[0061] The specification is an important document formed during the pipeline design and production process, which contains the detailed design parameters and technical requirements of the target pipeline. These information include the pipe diameter of the pipeline, which determines the flow capacity of the pipeline; the material, different materials are suitable for different media and working environments, such as stainless steel is suitable for seawater pipelines with high corrosion resistance requirements; the wall thickness, which affects the pressure resistance of the pipeline; the connection method, such as welding, flange connection, etc.; and other relevant technical indicators, such as temperature range, pressure grade, etc.

[0062] Current parameter information, which can be the parameters of the target pipeline at the current moment.

[0063] For the specification information, it is usually stored in a database or a file system. The system can use database query languages, such as SQL query statements, to read relevant information from the database, or obtain the specification content from a file through file reading functions. For the current parameter information, the sensor will convert the collected physical signal into an electrical signal, and then convert it into a digital signal through an analog-to-digital converter. These digital signals are transmitted to the data acquisition module through a data transmission line, and the data acquisition module processes and analyzes these signals, and finally reads them into the system.

[0064] S103, obtain the standard parameters of the target pipeline from the schematic diagram of the hull design;

[0065] The schematic diagram of the hull design can be an important drawing in the ship design process. It details all parts of the hull in the form of graphics and annotations, including the layout, connection relationship and design parameters of the pipeline system. These schematic diagrams are usually drawn using professional design software, with accurate scales and detailed annotations, and are important reference materials for ship construction and maintenance.

[0066] The standard parameters can be the parameter values of the target pipeline determined according to the hull design requirements and relevant industry specifications. Specifically, the standard parameters of each pipeline can be read from the schematic diagram of the hull design. Here, the schematic diagram of the hull design can be a CAD design drawing.

[0067] S104, identify whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline;

[0068] Among them, data comparison algorithms can be used to compare the specification information and the standard parameters one by one. For numerical parameters, such as pipe diameter, pressure, etc., direct numerical comparison can be carried out; for character parameters, such as material, connection method, etc., string matching algorithms can be used for comparison. During the comparison process, when there is a certain deviation between the pipe diameter in the specification information and the standard parameters, it can be determined that there is an error in the specification information of the current pipeline.

[0069] S105. If they are inconsistent, generate an error warning prompt for the specification information of the target pipeline.

[0070] When the specification information is inconsistent with the standard parameters, the system can generate a prompt message to remind relevant personnel that there are problems with the design information of the target pipeline. Such warning prompts can come in various forms, such as audible and visual alarms, screen pop-up prompts, SMS notifications, and email reminders. The prompt message usually contains specific inconsistent content, such as "pipe diameter does not match the standard parameters" and "material does not match the design requirements", so that relevant personnel can quickly understand the problem.

[0071] This solution can use a message generation module to generate a warning prompt message according to a preset template. The message generation module can automatically generate a detailed warning prompt text based on the specific inconsistent content and the preset template. Combining natural language processing technology can make the warning prompt clearer and easier to understand. For example, the specific inconsistent parameters and standard values are listed in detail. After generating the warning prompt message, the system will send the warning prompt to relevant personnel through audible and visual alarm devices, SMS gateways, email servers, etc. according to the preset notification method.

[0072] This solution can issue a warning prompt in a timely manner when it is found that the specification information is inconsistent with the standard parameters, enabling relevant personnel to quickly understand the possible problems in the pipeline design. Timely warning prompts help relevant personnel take measures in a timely manner, such as re-designing the pipeline, replacing components, etc., to avoid the problem from further expanding and ensure the design quality and safety of the pipeline system.

[0073] S106. If they are consistent, identify whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information.

[0074] Among them, each pipeline in the target pipeline can be each sub-pipeline or branch pipeline included in the target pipeline. In a complex pipeline system of a ship, a target pipeline may be composed of multiple sub-pipelines or branch pipelines, and these sub-pipelines or branch pipelines are connected to each other to jointly complete a specific transportation task.

[0075] The target parameters can be the parameter values that each pipeline should reach as specified in the specification information. These parameter values are determined according to the design requirements and actual usage needs of the pipeline, such as the flow distribution ratio and pressure requirements of each sub-pipeline.

[0076] In this solution, a data comparison algorithm can be used to compare the current parameter information of each pipeline with the target parameters in the specification information. Since the parameter data volume of each pipeline is large and may change in real time, real-time data analysis technology can be adopted to quickly process and compare a large amount of parameter data. By establishing a data model and algorithm, the system can monitor the parameter changes of each pipeline in real time and dynamically compare them with the target parameters. At the same time, machine learning algorithms can be used to identify and warn of abnormal data, improving the accuracy and timeliness of identification.

[0077] S107, if they do not correspond, generate an alarm prompt for the error of the current parameter information of the target pipeline.

[0078] The alarm prompt for the error of the current parameter information can be a kind of prompt information generated by the system when the current parameter information of each pipeline does not correspond to the target parameter, used to remind relevant personnel to pay attention to the possible problems with the operating parameters of the target pipeline. Similar to the alarm prompt for the error of the specification information, this kind of alarm prompt can also have various forms, such as sound and light alarms, screen pop-up prompts, SMS notifications, and email reminders. The prompt information will include the specific non-corresponding situation so that relevant personnel can quickly locate the problem.

[0079] This solution can issue an alarm prompt in a timely manner when it is found that the current parameter information does not correspond to the target parameter, enabling relevant personnel to quickly understand the abnormal situation that occurs during the pipeline operation. The timely alarm prompt helps relevant personnel take measures in a timely manner, such as redesigning the pipeline parameters to avoid errors.

[0080] The technical solution provided in this embodiment realizes the automatic detection and monitoring of the hull pipeline system through the selection of the target pipeline, information reading, parameter comparison, and alarm prompt, etc., and can timely and accurately discover the problems existing in the pipeline design. The timely alarm prompt mechanism allows relevant personnel to quickly take measures for processing, greatly improving the design efficiency of the pipeline system. At the same time, the automatic detection and monitoring reduce the workload and error of manual detection, improve work efficiency, and reduce the time cost of ship design.

[0081] In one embodiment, optionally, receiving a pipeline selection operation to determine the target pipeline for detection includes:

[0082] Receiving a selection operation of the hull section, and determining all pipelines within the selected hull section as the target pipelines for detection;

[0083] And / or,

[0084] Receiving a selection operation of the pipeline function, and determining all pipelines of the selected target function as the target pipelines for detection.

[0085] Among them, in the ship structure, the hull is divided into different areas, which are the hull intervals. For example, according to the bow and stern direction of the ship, it can be divided into the bow, middle, and stern intervals; according to functions, it can be divided into living quarters, engine room intervals, cargo hold intervals, etc. Different hull intervals have different functions and characteristics, and the pipeline systems therein also have their own distributions and uses.

[0086] The pipeline function can refer to the role that the pipeline plays in the ship system. Common pipeline functions include fuel delivery, fresh water supply, seawater cooling, ballast regulation, and ventilation, etc. Pipelines with different functions may vary in design, material, and connection method, etc., to meet their specific functional requirements.

[0087] The target function can be a specific pipeline function selected by the staff. For example, if the staff selects "fuel delivery" as the target function, then the system will perform subsequent operations on the pipeline with the fuel delivery function.

[0088] In this solution, the selection operation can be achieved through a variety of interaction devices. For example, in the ship monitoring system, through a visual operation interface, such as this interface shows the hull structure in the form of a three-dimensional model or a two-dimensional drawing, and the staff can use methods such as clicking the mouse and touching the screen to select a specific hull interval on the interface. The system will use graphic recognition technology and coordinate positioning technology to convert the staff's operation into specific hull interval information. In addition, the staff can also make a selection by inputting the number or name of the hull interval, and the system will parse and verify the input information. [[ID=?]]

[0089] After receiving the selection operation, first, the detailed structure information and pipeline layout information of the hull will be obtained from the ship's design database. This information is usually stored in the form of a three-dimensional model or a two-dimensional drawing, and the position and belonging interval of each pipeline are marked. Then, the system will use spatial algorithms and data matching techniques to screen out all the pipelines within the selected hull interval by the staff and determine them as the target pipelines to be detected.

[0090] In another embodiment, a function list can be set on the operation interface, and the staff selects the target pipeline function by means such as selecting through a drop-down menu and clicking a radio button. The system will record and identify the staff's selection. In addition, the staff's selection can also be received through voice input, and the voice recognition technology is used to convert the voice information into text information, and then it is parsed and matched.

[0091] It should be noted that there seems to be an error in ID=11 in the original text where it is just "

[0089] " without any corresponding content. I have left it as is in the translation. Also, the "? " in ID=10 is a placeholder in the original text and is translated as such.After receiving a selection operation, all pipeline information with the target function can be searched from the database. The functions of each pipeline are detailedly recorded in the database. Through keyword matching or semantic analysis technology, the system can accurately screen out the pipelines with the target function and determine them as the target pipelines for detection.

[0092] The method for determining the target pipelines in this solution is more flexible and diversified. By receiving the selection operation of the hull section, centralized detection can be carried out on the pipelines in a specific area, which helps to quickly identify pipeline problems in a certain hull section and improve the detection efficiency. While receiving the selection operation of the pipeline function can focus on pipelines of a certain type of function, which is of great significance for ensuring the normal operation of specific ship systems. The combined use of the two methods enables the system to accurately determine the target pipelines for detection according to different requirements and scenarios, further enhancing the pertinence and effectiveness of the detection of the ship pipeline system.

[0093] In one embodiment, optionally, identifying whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline includes:

[0094] Identifying whether the specification information of the target pipeline is unified specification information;

[0095] If so, identifying whether the specification information of the target pipeline is consistent with the standard parameters;

[0096] If not, performing segmented processing based on the differences in the specification information to obtain segmented pipelines with at least two types of specification information;

[0097] For each segmented pipeline, identifying whether the specification information is consistent with the standard parameters.

[0098] Among them, segmented processing can be carried out when the specification information of the target pipeline is not unified specification information. According to the differences in the specification information, the target pipeline is divided into different paragraphs. Each of these paragraphs has relatively unified specification information. For example, if the diameter of the first half of a pipeline is 50mm and the diameter of the second half becomes 80mm, it can be divided into two segments according to the diameter difference.

[0099] Segmented pipelines, that is, the pipelines obtained after segmented processing, and each segmented pipeline has its own relatively independent and unified specification information.

[0100] To identify whether the specification information of the target pipeline is unified specification information, it can be achieved by comprehensively analyzing the specification information of the target pipeline. First, read the specification data of each part of the target pipeline from the database, including key parameters such as pipe diameter, material, and pressure rating. Then, through a data comparison algorithm, compare the values of these parameters at different positions of the pipeline one by one. If all key parameters remain consistent throughout the pipeline, it is determined as unified specification information; otherwise, if there are differences in one or more parameters at different positions, it is determined that it is not unified specification information.

[0101] Identify whether the specification information of the target pipeline is consistent with the standard parameters: If the specification information of the target pipeline is unified specification information, the system will compare the entire specification information of the target pipeline with the standard parameters. For numerical parameters such as pipe diameter and pressure, directly perform numerical comparison; for character parameters such as material and connection method, use a string matching algorithm for comparison.

[0102] When it is determined that the specification information of the target pipeline is not unified specification information, the system will segment the pipeline according to the changes in different parameters in the specification information. First, find the positions where the parameters change, such as the node where the pipe diameter changes from 50mm to 80mm. Then, using these nodes as boundaries, divide the pipeline into different segments. In this process, a clustering analysis algorithm can be used to cluster the specification information of the pipeline, and the parts with similar specification information are grouped into one segment, so as to achieve accurate segmentation processing.

[0103] For each segmented pipeline, the above comparison process of unified specification information and standard parameters can be repeated. Compare the specification information of each segmented pipeline with the corresponding standard parameters respectively to determine whether they are consistent. In this way, it is possible to more accurately check whether the specification information of different parts of the target pipeline meets the standards.

[0104] This technical solution improves the accuracy and fineness of identifying the consistency between the specification information of the target pipeline and the standard parameters. For the target pipeline with unified specification information, direct overall comparison is carried out, which improves the processing efficiency. For the target pipeline with inconsistent specification information, through segmented processing and separate comparison, potential problems in different parts of the pipeline can be more accurately discovered. This helps to timely detect potential defects in the pipeline design and production process, ensure the quality and safety of the pipeline system, and at the same time provides more detailed and accurate information for subsequent pipeline maintenance and management.

[0105] In one embodiment, optionally, generating an error warning prompt for the specification information of the target pipeline includes:

[0106] Statistically analyze the recognition results of all pipeline segments of the target pipeline, and differentially display the pipeline segments identified as inconsistent.

[0107] Differential display can be achieved by adopting different visual presentation methods to distinguish and display the pipeline segments identified as inconsistent from other normal pipeline segments, so that relevant personnel can quickly and intuitively discover the problematic pipeline sections. For example, display using different colors, line styles, and highlighted backgrounds, etc.

[0108] This solution can collect and summarize the recognition results of each pipeline segment of the target pipeline. Extract relevant information from the database or data structure storing the recognition results, and use statistical algorithms to count and classify these results. For example, count the number of consistent pipeline segments and inconsistent pipeline segments, and which specific pipeline segments are inconsistent. The statistical results can be presented in the form of data tables or charts for convenient subsequent analysis and viewing.

[0109] By statistically analyzing the recognition results and differentially displaying the inconsistent pipeline segments, this solution can more intuitively and clearly show relevant personnel the specific locations and situations where there are errors in the specification information in the target pipeline. Relevant personnel can quickly locate the problematic pipeline sections without having to check the recognition results of each pipeline segment one by one, saving time and effort. This visual presentation method improves the efficiency of information transmission, helps to promptly take corresponding measures to further inspect, repair, or adjust the problematic pipeline segments, thereby better ensuring the quality and safety of the target pipeline and improving the management efficiency of the ship pipeline system.

[0110] In one embodiment, optionally, identify whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information, including:

[0111] Obtain the current parameter information of each pipeline in the target pipeline, where the current parameter information includes outer diameter information, wall thickness information, and material information;

[0112] Read the target parameters of each pipeline in the target pipeline from the specification information, where the target parameters include target outer diameter, target wall thickness, and target material;

[0113] In the case where there is any non-correspondence between the outer diameter information and the target outer diameter, between the wall thickness information and the target wall thickness, and between the material information and the target material, it is determined that the current parameter information of the current pipeline does not correspond to the target parameters in the specification information;

[0114] Traverse all pipelines in the target pipeline.

[0115] Outer diameter information can be the actual measured external diameter values of each pipeline in the target pipeline at the current moment. It reflects the actual size of the pipeline and has an important impact on aspects such as pipeline installation, cooperation with other components, and fluid transportation capacity. For example, in a ship's fuel delivery pipeline, the outer diameter size determines the fuel flow rate and transportation speed.

[0116] Wall thickness information can be the current wall thickness values of each pipeline in the target pipeline. The wall thickness is related to the strength and pressure resistance of the pipeline. Different usage scenarios and media require the pipeline to have an appropriate wall thickness. For example, high-pressure gas pipelines need to have a relatively thick wall thickness to withstand the internal pressure.

[0117] Material information can be the types of materials currently used for each pipeline in the target pipeline. Different materials have different physical and chemical properties, such as corrosion resistance, strength, and thermal conductivity. Common pipeline materials include stainless steel, copper, and plastics. Selecting the appropriate material is crucial for the service life and safety of the pipeline.

[0118] The target outer diameter can be the ideal external diameter value that each pipeline in the target pipeline should reach as specified in the specification information, and it is the standard size basis during pipeline design and manufacturing.

[0119] The target wall thickness can be the ideal wall thickness value of each pipeline in the target pipeline determined in the specification information, which is used to ensure the strength and performance of the pipeline under the design conditions.

[0120] The target material can be the type of material that each pipeline in the target pipeline should adopt as specified in the specification information, and it is the best material selection determined according to factors such as the function and working environment of the pipeline.

[0121] The current pipeline is the specific pipeline that is currently undergoing parameter comparison and inspection during the traversal of the target pipeline.

[0122] When using the data comparison algorithm, the outer diameter information of the current pipeline is compared with the target outer diameter, the wall thickness information with the target wall thickness, and the material information with the target material respectively. For numerical outer diameter and wall thickness parameters, it is judged whether they are equal or within the allowable error range by comparing the numerical values; for character-type material parameters, a string matching algorithm is used to judge whether they are consistent. As long as one of the parameters does not correspond, it is determined that the current parameter information of the current pipeline does not correspond to the target parameter.

[0123] This solution can perform the above parameter acquisition, reading, and comparison operations on each pipeline in the target pipeline in a certain order to ensure that all components of the entire target pipeline are inspected.

[0124] This technical solution can accurately detect the differences between the actual parameters and the design parameters of pipelines by conducting a detailed and comprehensive comparison and inspection of the current parameter information of each pipeline in the target pipeline network with the target parameters in the specification, and traversing all pipelines. This precise detection method helps to promptly discover problems such as dimensional deviations and material inconsistencies that may occur during the design and installation of pipelines, enabling timely measures to be taken for repair or adjustment, ensuring the normal operation and safety of the pipeline system, avoiding potential failures and accidents caused by parameter mismatches, and improving the stability of the ship pipeline system.

[0125] In one embodiment, optionally, the method is executed by a detection and statistics applet.

[0126] The detection and statistics applet can be a small program software running in a specific software environment. It is designed to specifically perform the detection of the ship pipeline system and the statistics of relevant data. This applet can process and analyze a large amount of pipeline-related data. An interactive interface can be set up to facilitate staff to perform relevant operations and view the detection and statistics results.

[0127] This solution executes all the above steps by the detection and statistics applet, realizing the automation and intelligence of the detection and statistics work of the ship pipeline system. It can quickly and accurately process a large amount of pipeline-related data, avoiding errors and low efficiency problems that may be caused by manual operations. Through interaction with various hardware devices, the applet can obtain the operating status information of the pipeline in real time, analyze and judge it in a timely manner, and can quickly issue an alarm prompt once a problem is found, helping operators to take measures to handle it in a timely manner and ensuring the safe and stable operation of the ship pipeline system.

[0128] In one embodiment, optionally, after determining the target pipeline to be detected in the detection and statistics applet, the target pipeline is graphically displayed.

[0129] Among them, the target pipeline can be determined by performing a pipeline selection operation in the detection and statistics applet and is the specific pipeline to be used as the subsequent detection and analysis object. In the complex pipeline network of a ship, the target pipeline has specific numbers, positions, and functional attributes.

[0130] Graphical display can present the relevant information of the target pipeline in a visual graphical form. The graph can include two-dimensional or three-dimensional pipeline models, schematic diagrams, etc. Various characteristics of the target pipeline, such as pipe diameter size, material, and connection relationship, are represented by different colors, line thicknesses, and shapes, enabling users to intuitively understand the situation of the target pipeline.

[0131] Specifically, graphic drawing techniques and algorithms can be utilized to generate a graphic model of the target pipeline based on the extracted data. For 2D graphic display, drawing libraries such as HTML5 Canvas, SVG, etc. can be used to draw elements such as pipeline lines and nodes; for 3D graphic display, 3D modeling engines such as Three.js, Unity, etc. may be relied on to create a 3D model of the pipeline and set its properties such as color and material.

[0132] The visual presentation can be to display the generated graphics on the interface of the mini-program. Different viewing angles, zoom ratios, etc. can be set so that users can observe the target pipeline from different angles. At the same time, interactive functions can also be added, such as clicking on the pipeline graphic to view its detailed parameter information, or changing the display viewing angle by operations such as mouse dragging and rotation.

[0133] This solution performs graphic display after determining the target pipeline, providing users with an intuitive and clear visual interface, greatly improving the efficiency of users' understanding and recognition of the target pipeline. Through graphic display, users can quickly understand information such as the position, orientation of the target pipeline in the hull and its connection relationship with other pipelines, which helps to perform subsequent detection and analysis operations more accurately. The visual graphics can also help users more conveniently discover possible problems with the pipeline, such as unreasonable pipeline layout, connection errors, etc. In addition, the graphic display enhances the user experience of the detection and statistics mini-program, enabling operators to use the program more efficiently for the management and maintenance of the ship's pipeline system, and improving the safety of ship operation.

[0134] Embodiment 2

[0135] This embodiment provides a preferred implementation manner to illustrate the technical details of the technical solution of the present application with a specific example.

[0136] In some technical solutions, when performing production design in the Outfitting module of the AVEVA Hull&Outfitting(AM) software, it is easy for human negligence to cause errors in the selection of some accessories or pipeline materials and wall thickness in the same pipeline; there are up to tens of thousands or hundreds of thousands of pipelines in ship design, and the workload of subsequent self-inspection and proofreading is large, and it is easy to miss problems and let them flow into the next link, even causing quality problems. Figure 2 It is a schematic diagram of the operation interface of the detection and statistics mini-program provided by the second embodiment of the present application. As Figure 2 shown, the detection and statistics mini-program can automatically display whether the specifications are misused and view the pipeline selection situation by selecting the system.

[0137] Using the detection and statistics mini-program, for the assembly pipe model included in the level selected by the staff, part of the code is as follows:

[0138] Title | Pipe Specification Inspection and Statistics Tool|;

[0139] button.gx | Update | width 6 call |!this.gxcx();

[0140] Text.cenamn'Level: 'tagwid 5 width 15 is STRING tooltip ||;

[0141] button.ce | Current Level Inspection | width 12 tooltip | Inspect pipe specifications from the current level | call |!this.ce();

[0142] button.check | Current Level Summary Inspection | width 12 tooltip | Summarize pipe specifications from the current level | call |!this.check();

[0143] button.checkview1 | 3D View Inspection | width 12 tooltip | Inspect pipe specifications obtained from the 3D view | call |!this.viewcheck1();

[0144] button.checkview2 | 3D View Summary Inspection | width 12 tooltip | Summarize pipe specifications obtained from the 3D view | call |!this.viewcheck2();

[0145] button.Output | Export | width 4 call |!this.output();

[0146] Among them, the above code includes the following information:

[0147] 1. Title;

[0148] Title | Pipe Specification Inspection and Statistics Tool|;

[0149] Define the window title as "Pipe Specification Inspection and Statistics Tool".

[0150] 2. Update button;

[0151] button.gx | Update | width 6 call |!this.gxcx();

[0152] Button Name:.gx;

[0153] Display Text: "Update";

[0154] Width: 6 (unit could be characters or pixels);

[0155] Click Action: Call the!this.gxcx() method (possibly an abbreviation for "update query").

[0156] 3. Hierarchical Display Text;

[0157] Text.cenamn' Hierarchy: 'tagwid 5width 15is STRING tooltip||;

[0158] Control Type: Text Label (Text);

[0159] Control Name:.cenamn (possibly an abbreviation for "hierarchy name");

[0160] Display Content: 'Hierarchy: '(displays the words "Hierarchy: " followed by the specific hierarchy value);

[0161] Label Width: tagwid 5 (the label part occupies 5 unit widths);

[0162] Total Width: 15;

[0163] Data Type: STRING (string);

[0164] Tooltip: tooltip|| (empty tooltip, possibly not set);

[0165] 4. Current Hierarchy Check Button;

[0166] button.ce|Current Hierarchy Check|width 12tooltip|Check from the pipe specifications of the current hierarchy|call|!this.ce();

[0167] Button Name:.ce (possibly an abbreviation for "check");

[0168] Display Text: "Check Current Level";

[0169] Width: 12;

[0170] Tooltip: Displays "Check from the pipe specifications of the current hierarchy" when hovering the mouse;

[0171] Click Action: Call the!this.ce() method (check the pipe specifications of the current hierarchy).

[0172] 5. Current level summary check button;

[0173] button.check|Current level summary check|width 12tooltip|Summarize from the pipe specifications at the current level|call|!this.check()|;

[0174] Button name:.check;

[0175] Display text: "Current level summary check" (Summarize Current Level);

[0176] Width: 12;

[0177] Tooltip: Displays "Summarize from the pipe specifications at the current level" when hovering the mouse;

[0178] Click action: Call the!this.check() method (summarize the pipe specification data at the current level).

[0179] 6. 3D View check button;

[0180] button.checkview1|3D view check|width 12tooltip|Get pipe specifications from 3D view for checking|call|!this.viewcheck1()|;

[0181] Button name:.checkview1;

[0182] Display text: "3D view check" (3D View Check);

[0183] Width: 12;

[0184] Tooltip: Displays "Get pipe specifications from 3D view for checking" when hovering the mouse;

[0185] Click action: Call the!this.viewcheck1() method (extract and check pipe specifications from 3D view).

[0186] 7. 3D View summary check button;

[0187] button.checkview2|3D view summary check|width 12tooltip|Get pipe specifications from 3D view for summarization|call|!this.viewcheck2()|;

[0188] Button Name:.checkview2;

[0189] Display Text: "3D view summary check" (3D View Summary);

[0190] Width: 12;

[0191] Tooltip: Displays "Obtain pipe specifications from 3D view for summarization" when hovering the mouse;

[0192] Click Action: Invokes the!this.viewcheck2() method (Extract data from 3D view and summarize).

[0193] 8. Export Button;

[0194] button.Output|Export|width 4call|!this.output()|;

[0195] Button Name:.Output;

[0196] Display Text: "Export";

[0197] Width: 4;

[0198] Click Action: Invokes the!this.output() method (Export inspection or summary results).

[0199] This solution can quickly detect whether there is a situation of misusing specification books for the pipelines throughout the ship, whether there is a situation where the material wall thickness inside is inconsistent with the actual situation and is not easily detected, and the outer diameter and wall thickness levels of the pipelines in each system. It can perform quick self-inspection and proofreading work for production design, improving design quality and efficiency. At the same time, it can quickly count whether the pipelines selected in each system are correct and whether there is a situation of misusing specification books for the internal pipelines, facilitating self-inspection and proofreading work in the AM ship design program, greatly improving work efficiency and design quality.

[0200] Embodiment 3

[0201] Figure 3 It is a schematic structural diagram of an automatic detection device for pipeline information in the ship design software provided by Embodiment 3 of the present application. As Figure 3 shown, the device includes:

[0202] A target pipeline determination module 301, configured to receive a pipeline selection operation and determine the target pipeline to be detected;

[0203] An information acquisition module 302, configured to read the specification book information of the target pipeline and the current parameter information of the target pipeline;

[0204] A standard parameter acquisition module 303 is configured to acquire the standard parameters of the target pipeline from the hull design schematic diagram;

[0205] A specification comparison module 304 is configured to identify whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline;

[0206] A specification error warning module 305 is configured to generate a warning prompt for the incorrect specification information of the target pipeline if they are inconsistent;

[0207] A parameter comparison module 306 is configured to identify whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information if they are consistent;

[0208] A parameter error warning module 307 is configured to generate a warning prompt for the incorrect current parameter information of the target pipeline if they do not correspond.

[0209] In an embodiment of the present application, a target pipeline determination module is configured to receive a pipeline selection operation and determine the target pipeline to be detected; an information acquisition module is configured to read the specification information of the target pipeline and the current parameter information of the target pipeline; a standard parameter acquisition module is configured to acquire the standard parameters of the target pipeline from the hull design schematic diagram; a specification comparison module is configured to identify whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline; a specification error warning module is configured to generate a warning prompt for the incorrect specification information of the target pipeline if they are inconsistent; a parameter comparison module is configured to identify whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information if they are consistent; a parameter error warning module is configured to generate a warning prompt for the incorrect current parameter information of the target pipeline if they do not correspond. Through the above technical solution, by extracting the information of the pipeline specification and parameters in the ship model and comparing it with the data in the ship schematic diagram, the efficiency of detecting whether the pipeline specification is correct and whether the parameters are correct is improved. While improving the pipeline detection efficiency, it can also realize an automated detection process, without manual operation by staff, and avoid errors introduced by manual input or manual detection.

[0210] The automatic detection device for pipeline information in the ship design software in the embodiments of the present application can be a device, or a component, integrated circuit, or chip in a terminal. This device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a handheld computer, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc. The non-mobile electronic device can be a server, a Network Attached Storage (NAS), a personal computer (PC), a television (TV), a teller machine, or a self-service machine, etc. The embodiments of the present application do not make specific limitations.

[0211] The automatic detection device for pipeline information in the ship design software in the embodiments of the present application can be a device with an operating system. This operating system can be the Android operating system, the IOS operating system, or other possible operating systems. The embodiments of the present application do not make specific limitations.

[0212] The automatic detection device for pipeline information in the ship design software provided in the embodiments of the present application can implement each process implemented in the above embodiments. To avoid repetition, it will not be elaborated here.

[0213] Embodiment 4

[0214] As Figure 4 shown, the embodiments of the present application further provide an electronic device 400, including a processor 401, a memory 402, a program or instruction stored on the memory 402 and executable on the processor 401. When the program or instruction is executed by the processor 401, it implements each process of the above embodiments of the automatic detection method for pipeline information in the ship design software, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0215] It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

[0216] Embodiment 5

[0217] The embodiments of the present application further provide a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, it implements each process of the above embodiments of the automatic detection method for pipeline information in the ship design software, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0218] Among them, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs, etc.

[0219] Embodiment Six

[0220] Another embodiment of the present application provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement each process of the automatic detection method embodiment of the pipeline information in the above ship design software, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0221] It should be understood that the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, system chip, chip system, or system-on-chip, etc.

[0222] It should be noted that in this article, the term "including", "comprising", or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article, or device. Without more limitations, the element defined by the statement "including one..." does not exclude the existence of other identical elements in the process, method, article, or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, the features described with reference to certain examples may be combined in other examples.

[0223] Through the description of the above embodiments, those skilled in the art can clearly understand that the above embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disc), and includes several instructions to enable a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present application.

[0224] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific implementation manners. The above specific implementation manners are merely illustrative rather than restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them belong to the protection scope of the present application.

[0225] The above is only the preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments described herein. Various obvious changes, re-adjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it can also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for automatically detecting pipeline information in ship design software, characterized in that: The method includes: Receiving a pipeline selection operation to determine the target pipeline to be detected; Reading the specification information of the target pipeline and the current parameter information of the target pipeline; Obtaining the standard parameters of the target pipeline from the ship hull design schematic diagram; Identifying whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline; If not, generating an alarm prompt for incorrect specification information of the target pipeline; If consistent, identifying whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information; If not corresponding, generating an alarm prompt for incorrect current parameter information of the target pipeline.

2. The automatic detection method for pipeline information in the ship design software according to claim 1, characterized in that, Receiving a pipeline selection operation to determine the target pipeline to be detected includes: Receiving a selection operation of a ship hull section to determine that all pipelines within the selected ship hull section are the target pipelines to be detected; And / or, Receiving a selection operation of a pipeline function to determine that all pipelines of the selected target function are the target pipelines to be detected.

3. The automatic detection method for pipeline information in the ship design software according to claim 1, characterized in that, Identifying whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline includes: Identifying whether the specification information of the target pipeline is unified specification information; If so, identifying whether the specification information of the target pipeline is consistent with the standard parameters; If not, performing segmented processing based on the differences in the specification information to obtain segmented pipelines with at least two types of specification information; For each segmented pipeline, identifying whether the specification information is consistent with the standard parameters.

4. The automatic detection method for pipeline information in the ship design software according to claim 3, characterized in that Generating an alarm prompt for incorrect specification information of the target pipeline includes: Counting the identification results of all pipeline segments of the target pipeline and differentially displaying the segmented pipelines identified as inconsistent.

5. The automatic detection method for pipeline information in the ship design software according to claim 1, characterized in that Identifying whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameters in the specification information includes: Obtaining the current parameter information of each pipeline in the target pipeline, where the current parameter information includes outer diameter information, wall thickness information, and material information; Reading the target parameters of each pipeline in the target pipeline from the specification information, where the target parameters include target outer diameter, target wall thickness, and target material; When there is any non-correspondence between the outer diameter information and the target outer diameter, between the wall thickness information and the target wall thickness, and between the material information and the target material, it is determined that the current parameter information of the current pipeline does not correspond to the target parameters in the specification information; Traversing all pipelines in the target pipeline.

6. The automatic detection method for pipeline information in the ship design software according to any one of claims 1-5, characterized in that, The method is executed by a detection and statistics applet.

7. The automatic detection method for pipeline information in the ship design software according to claim 6, characterized in that After determining the target pipeline to be detected in the detection and statistics applet, graphically display the target pipeline.

8. An automatic detection device for pipeline information in a ship design software, characterized in that, The device includes: A target pipeline determination module for receiving a pipeline selection operation to determine the target pipeline to be detected; An information acquisition module for reading the specification information of the target pipeline and the current parameter information of the target pipeline; A standard parameter acquisition module for obtaining the standard parameters of the target pipeline from the ship hull design schematic diagram; A specification comparison module for identifying whether the specification information of the target pipeline is consistent with the standard parameters of the target pipeline; The specification error warning module is used to generate a warning prompt for the error of the specification information of the target pipeline if they are inconsistent; The parameter comparison module is used to identify whether the current parameter information of each pipeline in the target pipeline corresponds to the target parameter in the specification information if they are consistent; The parameter error warning module is used to generate a warning prompt for the error of the current parameter information of the target pipeline if they do not correspond.

9. An electronic device, characterized in that, It includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor. When the program or instruction is executed by the processor, it implements the steps of the automatic detection method for pipeline information in the ship design software as described in any one of claims 1-7.

10. A readable storage medium, characterized in that, The program or instruction is stored on the readable storage medium. When the program or instruction is executed by the processor, it implements the steps of the automatic detection method for pipeline information in the ship design software as described in any one of claims 1-7.