Intelligent design and data management system for pipeline supports and hangers

Abstract

The invention provides an intelligent design and data management system for a pipeline support hanger, and relates to the technical field of industrial automatic design and data management, and the system comprises a standard database module, a size calculation module, a weight calculation module, a drawing generation module and an intelligent auxiliary module. The design period of the traditional pipeline support hanger needing 30 days is shortened, the efficiency is improved, the human input is reduced, and the cost is reduced. The size calculation module adopts a formula to realize automatic generation of the blanking size, the weight calculation module realizes batch calculation through a three-dimensional volume integral formula, compared with traditional manual calculation, the efficiency is improved, the problems of time consumption and error proneness of manual calculation are thoroughly solved, the precision and consistency are guaranteed through full-process automatic design, personal errors are eliminated, and the production efficiency is improved. The system records industry standards through the standard database module and updates the industry standards in real time, and standard reference errors are avoided.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of industrial automation design and data management, and more particularly relates to a pipeline support and hanger intelligent design and data management system. BACKGROUND

[0002] In the field of modern industrial engineering, pipeline support and hanger, as a key component to ensure the safe operation of the pipeline system, is widely used in petrochemical, power, construction, municipal and other industries. Its design quality directly affects the stress distribution, vibration control, displacement compensation and overall stability of the system. However, the traditional design and management method of pipeline support and hanger has many problems, which has been difficult to meet the development needs of current engineering construction efficiency, intelligence and standardization.

[0003] Limitations of traditional design methods: Traditional design relies on engineers to manually consult standard specifications, calculate the size and weight of materials, and draw drawings one by one through CAD software. According to statistics, the design cycle of support and hanger for a medium-sized chemical project usually takes more than 30 days, involves multi-specialty collaboration, has high labor cost and is prone to communication errors.

[0004] Insufficient calculation accuracy: The manual calculation process is tedious and easily affected by factors such as fatigue and experience differences. The size error is usually more than ±1mm, and the weight calculation error can reach 3%-5%.

[0005] Standard update lag: Pipeline support and hanger related standards (such as GB / T17116, ASME B31.3, etc.) are updated frequently, but traditional design teams often have difficulty in obtaining the latest version in time, resulting in outdated design basis.

[0006] Data management confusion: A large number of documents such as drawings, calculation books and material lists generated during the design process are managed in a scattered manner, making version control difficult.

[0007] Current market CAD software (such as AutoCAD, SolidWorks) mainly provides drawing functions and lacks professional calculation modules for pipeline support and hanger. Engineers still need to manually input parameters and perform complex calculations, which cannot achieve automation and intelligence in the design process.

[0008] Some standardized software (such as CAESAR II, AutoPIPE) focuses on pipeline stress analysis and has relatively weak design and management functions for support and hanger, which cannot meet the needs of full-process digitalization.

[0009] Existing technologies cannot provide intelligent recommendations based on historical project data and engineering experience, and design schemes rely on individual level of engineers, making it difficult to ensure optimality. In a certain LNG project, due to unreasonable selection of support and hanger, the pipeline vibration exceeded the standard, forcing a second reconstruction.

[0010] The demand for intelligent design tools in the field of pipeline engineering is increasing, however, there is currently a lack of a comprehensive solution that integrates standard management, intelligent calculation, drawing generation, and data interaction in the market, which cannot meet the urgent needs of the industry for efficient, accurate, and standardized design.

[0011] The pipeline support intelligent design and data management system of the present application is developed to solve the above problems, which realizes the full-process automation from standard query, parameter calculation to drawing generation by integrating modern information technology and engineering field professional knowledge, significantly improves the design efficiency and quality, reduces the engineering cost, and has important practical significance and broad application prospect. SUMMARY

[0012] In order to solve the above technical problems, the present application provides a pipeline support intelligent design and data management system to solve the above problems.

[0013] A pipeline support intelligent design and data management system, comprising:

[0014] A standard database module: all pipeline support standards on the market are collected and updated in real time through networking;

[0015] A size calculation module: based on the standard database, the size of the support is calculated, and the calculation results can be copied and pasted into an excel table;

[0016] A weight calculation module: according to the size of the material, the weight of each material of the support is automatically calculated, and the weight of different standard supports can be calculated in batches;

[0017] A drawing generation module: 1:1 scale drawings and installation drawings can be generated by one key, and output in CAD format;

[0018] An intelligent auxiliary module: embedded spring support calculation program, auxiliary to complete the design of complex support.

[0019] Preferably, the standard database module is connected with a cloud server through a network interface, and the standard manual and functional module are automatically updated according to user demand.

[0020] Preferably, the size calculation module adopts a parameterized algorithm, and after the user inputs the pipeline specifications and load parameters, the size data of the material is automatically matched and generated.

[0021] Preferably, the weight calculation module has a built-in material density database, which combines the size of the material and obtains the weight of each material through a three-dimensional volume calculation model.

[0022] Preferably, the drawing generation module is based on AutoCAD secondary development technology, and generates one-to-one CAD graphics automatically according to the cutting size parameters and the built-in graphic model.

[0023] Preferably, the intelligent auxiliary module comprises a spring selection algorithm library, and for different mechanical model support hanger structures, the intelligent auxiliary module recommends the adapted spring model and parameters according to the support hanger stress analysis result, and recommends the adapted spring model and the support hanger design parameters.

[0024] Preferably, the data interaction interface module supports data docking with a BIM model and an ERP system, and realizes bidirectional transmission of design data and production management data.

[0025] Preferably, the data interaction interface module adopts a JSON / XML data format, supports API interface calling and data encryption transmission.

[0026] Preferably, the user permission management module is further included, and the user permission management module controls the access and editing permissions of different users to a standard database, calculation functions and drawings through hierarchical permission setting.

[0027] Preferably, the visual operation interface is further included, and the visual operation interface supports quick completion of support hanger parameter input and design scheme adjustment of users through drag and drop, point selection and other operations.

[0028] Compared with the prior art, the present application has the following beneficial effects:

[0029] 1. The present application shortens the traditional 30-day pipeline support hanger design period through a parameterization algorithm and an automatic calculation module, improves the efficiency, reduces the manpower input and reduces the cost. The size calculation module realizes automatic generation of cutting size through a formula, the weight calculation module realizes batch calculation through a three-dimensional volume integral formula, the efficiency is improved compared with traditional manual calculation, and the problems of time-consuming and error-prone of manual calculation are completely solved.

[0030] 2. The full-process automatic design guarantees the precision and consistency, eliminates human errors, the system records ≥98% of industry standards through a standard database module and updates in real time, avoids standard reference errors, the algorithm error of the size and weight calculation module is controlled within ±0.1mm and 0.5%, and the precision is improved compared with traditional methods. In actual application, the design error rate is reduced to 0.1%, the mechanical performance of the spring support hanger is accurately evaluated by cooperating with a finite element analysis algorithm, the construction rework caused by calculation errors is avoided, and the project cost is reduced on average.

[0031] 3. Multi-dimensional data management and intelligent interaction, realizing seamless flow of design-production data, the drawing generation module is based on AutoCAD secondary development technology, CAD drawing generation speed supports 1:1 scale and installation drawing automatic output, and the graphic resolution is ≥600 DPI; the data interaction interface module realizes two-way transmission with BIM / ERP system through ProtocolBuffers format, the delay is ≤50 ms, the throughput is ≥100 MB / s, and the data barrier between design and production is broken. The visual operation interface realizes real-time rendering of 3D model by using WebGL technology, and the user can complete parameter input by dragging and selecting, which improves the design efficiency compared with traditional CAD.

[0032] 4. Dynamic update and compatibility design, adapting to industry standard iteration and complex scenarios, the standard database module realizes 5000 cloud update request processing per second through gRPC protocol, ensuring the timeliness of the design basis; the spring selection algorithm library of the intelligent auxiliary module supports multi-condition simulation, adapts to industrial environment of-40℃ to 600℃, and is compatible with 20+ material types such as carbon steel, stainless steel and aluminum alloy, meeting the needs of multiple scenarios such as petrochemical industry and power engineering.

[0033] 5. Multi-dimensional performance optimization, building industry-leading design reliability, the system realizes 99.999% data consistency by using distributed hash table (DHT), and supports stable operation of 200 concurrent users; the temperature compensation mechanism of the weight calculation module and the optimization design of the drawing compression rate ≥80%, ensure the calculation accuracy and storage efficiency in high load scenarios. Compared with traditional design, the present application realizes the upgrade of design mode from “experience-driven” to “data-driven” through algorithm innovation and engineering practice verification, and provides core technical support for the digital transformation of pipeline engineering. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 is a system composition schematic diagram of the present application. DETAILED DESCRIPTION

[0035] The embodiments of the present application will be further described in detail below in combination with the drawings and examples. The following examples are used to illustrate the present application, but cannot be used to limit the scope of the present application.

[0036] Please refer to Figure 1 , the present application provides a pipeline support and hanger intelligent design and data management system, comprising:

[0037] Standard database module: all pipeline support and hanger standards on the market are collected and updated in real time;

[0038] Size calculation module: based on the standard database, the size of the support and hanger is calculated, and the calculation results can be copied and pasted to an excel table;

[0039] Weight calculation module: according to the size of the blank, the weight of each material of the support hanger is automatically calculated, and batch calculation of the weight of different standard support hangers is supported;

[0040] Drawing generation module: 1:1 scale drawing and installation drawing can be generated by one key, and output in CAD format;

[0041] Intelligent auxiliary module: embedded spring type support hanger calculation program, auxiliary to complete the design of complex support hanger.

[0042] The pipeline support hanger intelligent design and data management system adopts B / S architecture, is developed based on JavaEE platform, the overall architecture of the system is as shown in Figure 1 The system adopts micro-service architecture design, each functional module is independently deployed, communicates through RESTful API, and guarantees the high availability and scalability of the system. The core functional modules of the system include standard database module, size calculation module, weight calculation module, drawing generation module and intelligent auxiliary module, each module works cooperatively to realize the intelligent design and data management of pipeline support hanger.

[0043] Standard database module:

[0044] Standard data structure design:

[0045] The standard database module adopts a hierarchical classification data structure, and classifies and stores the pipeline support hanger standards according to national / industry standards and enterprise standards. Each standard entry contains the following fields:

[0046]

[0047]

[0048] Standard data update mechanism:

[0049] The standard database module is connected with the cloud server through a network interface, and adopts the combination of incremental update and full update:

[0050] Incremental update: the system automatically detects the standard update of the cloud server every morning, compares the standard version number, only downloads the updated standard entry, and the update frequency is 24 hours / once.

[0051] Full update: the system performs full update on the first working day of each month, downloads all standard entries again, and ensures the consistency of the local database and the cloud database, and the update frequency is 30 days / once.

[0052] Manual update: the user can manually trigger the standard update operation through the system interface at any time, and the system downloads the latest standard data immediately.

[0053] Standard data retrieval algorithm:

[0054] The standard database module uses a multi-level index structure to improve retrieval efficiency. The specific algorithm is as follows:

[0055] Python:

[0056] def search_standard(keywords,standard_type=None,issue_date=None):

[0057] # Construct query conditions

[0058] query={}

[0059] if keywords:

[0060] # Tokenization

[0061] terms=tokenize(keywords)

[0062] # Build full-text index query

[0063] query['$text']={'$search':'.join(terms)}

[0064] if standard_type:

[0065] query['standard_type']=standard_type

[0066] if issue_date:

[0067] query['issue_date']={'$gte':issue_date}

[0068] # Execute query

[0069] results=StandardCollection.find(query)

[0070] # Sort

[0071] results=results.sort([

[0072] ('relevance',-1),# descending order of relevance

[0073] ('implement_date',-1)# descending order of implementation date ])

[0075] returnlist(results)

[0076] The algorithm supports multi-condition combination query, and the retrieval response time is less than 1 second, and 1000 concurrent query requests can be processed at the same time.

[0077] Size calculation module:

[0078] Parameterized algorithm model:

[0079] The size calculation module adopts a parameterized algorithm, which automatically matches the corresponding standards to generate the cutting size data according to the input conditions such as pipe specifications and load parameters. The core algorithm is as follows:

[0080] L = α × D + β × P + γ × T + ε;

[0081] Where:

[0082] L is the cutting length (mm);

[0083] D is the pipe outer diameter (mm);

[0084] P is the design pressure (MPa);

[0085] T is the design temperature (℃);

[0086] α, β, γ are material coefficients, and the value range is 0.8-1.2 according to different material types;

[0087] ε is the process compensation value, and the value range is 10-50mm according to different processing technology.

[0088] Calculation process implementation:

[0089] The calculation process of the size calculation module is as follows:

[0090] Parameter input: The user inputs the pipe specifications (outer diameter, wall thickness), design pressure, design temperature, pipe material, etc. through the interface.

[0091] Standard matching: The system automatically matches the applicable standard specifications according to the input parameters, and preferentially selects the latest version of the standard.

[0092] Calculation processing: Call the parameterized algorithm model to calculate the cutting size of each component of the support and hanger.

[0093] Result verification: Verify the reasonableness of the calculation results to ensure compliance with relevant standard requirements.

[0094] Result output: Display the calculation results in table form, and support copying and pasting to Excel table.

[0095] Calculation precision control:

[0096] The size calculation module uses double-precision floating-point numbers (double) for calculation, with a calculation accuracy of 0.01 mm. The system has a built-in error compensation mechanism. Through a large number of experimental data, an error correction curve is fitted to correct the calculation results in real time, ensuring that the calculation results and actual application errors are controlled within ±0.1 mm.

[0097] Weight calculation module:

[0098] Material density database:

[0099] The weight calculation module has a built-in material density database, which contains the density data of common support hanger materials. Some data are shown in the following table:

[0100] Material name Density (kg / m 3 )]]> Error range (%) Q235 steel 7850 ±0.5 304 stainless steel 7930 ±0.5 316L stainless steel 7980 ±0.5 Aluminum alloy 6061 2700 ±0.5 Copper alloy H62 8500 ±0.5 Carbon steel 7850 ±0.5 Cast iron 7200 ±1.0

[0101] Three-dimensional volume calculation model:

[0102] The weight calculation module uses a three-dimensional volume calculation model, considering each component of the support hanger as a combination of basic geometric bodies. The weight is calculated by the following formula:

[0103] W = p x V;

[0104] Where:

[0105] W is the weight (kg);

[0106] p is the material density (kg / m 3 );

[0107] V is the volume (m 3 ).

[0108] For components with complex shapes, the finite element segmentation method is used to decompose them into multiple simple geometric bodies, and the volumes are calculated and summed:

[0109] V = ∑Vi(i = 1, 2,..., n).

[0110] Batch calculation implementation:

[0111] The weight calculation module supports batch calculation function, which can handle more than 1000 support hanger weight calculation tasks at the same time. The system uses multi-thread parallel computing technology to divide the batch task into multiple sub-tasks and assign them to different calculation threads for processing, significantly improving the calculation efficiency. Test data shows that the average time for calculating the weight of 1000 support hangers is less than 10 seconds.

[0112] Drawing generation module:

[0113] AutoCAD secondary development technology:

[0114] The drawing generation module is based on AutoCAD secondary development technology, and uses C# language to develop AutoCAD plug-in, realizing seamless integration with AutoCAD. The system directly operates AutoCAD graphic objects through AutoCAD ObjectARX API, ensuring that the generated drawings meet the AutoCAD native standard.

[0115] Drawing template library:

[0116] The drawing generation module has a built-in drawing template library, which contains various types of support and hanger drawing templates, such as:

[0117] 1:1 scale detailed dimension drawing;

[0118] Installation schematic diagram;

[0119] Material list drawing;

[0120] Assembly flowchart.

[0121] Each template contains preset layers, line types, text styles, etc., ensuring uniformity of the generated drawing style.

[0122] Drawing generation process:

[0123] The working process of the drawing generation module is as follows:

[0124] Parameter setting: the user selects drawing type, scale, annotation style, etc.

[0125] Data preparation: the system obtains the calculation results of the dimension calculation module and the weight calculation module;

[0126] Drawing generation: automatically generate CAD drawings according to the selected template and calculation results;

[0127] Drawing optimization: automatically optimize the generated drawings, including line smoothing, text alignment adjustment, etc.

[0128] Drawing export: supports exporting the generated drawings to DWG, DXF, PDF, etc.

[0129] Intelligent auxiliary module:

[0130] Spring selection algorithm library:

[0131] The intelligent auxiliary module contains a spring selection algorithm library, which recommends suitable spring models and parameters for different mechanical model support and hanger structures based on the support and hanger stress analysis results. The core algorithm is as follows:

[0132] F = k x Δx;

[0133] Where:

[0134] F is the spring load force (N);

[0135] k is the spring stiffness (N / mm);

[0136] Δx is the spring deflection (mm).

[0137] Spring stiffness calculation formula:

[0138] k = Gd 4 / [8nD 3 (1+0.5μ)];

[0139] Where:

[0140] G is the shear modulus (MPa);

[0141] d is the spring wire diameter (mm);

[0142] n is the effective number of turns;

[0143] D is the spring mean diameter (mm);

[0144] μ is the Poisson's ratio.

[0145] Finite element analysis function:

[0146] The intelligent auxiliary module integrates a simplified finite element analysis function, which can perform mechanical analysis on complex support and hanger structures to evaluate their strength and stability. The analysis process is as follows:

[0147] Model construction: automatically construct a finite element analysis model based on the geometric parameters of the support and hanger.

[0148] Material property setting: obtain material mechanical performance parameters from the material database.

[0149] Boundary condition setting: set constraint conditions and load conditions according to the actual application scenario.

[0150] Meshing: use adaptive meshing algorithm to perform mesh refinement on key parts.

[0151] Solution calculation: call the finite element solver for calculation.

[0152] Result analysis: generate stress contour, deformation contour and other analysis results to evaluate the performance of the support and hanger.

[0153] Intelligent recommendation function:

[0154] The intelligent auxiliary module is based on machine learning algorithm, according to the historical design cases and user feedback, constantly optimize the recommendation strategy. The system uses collaborative filtering algorithm, analyzes the design scheme of similar projects, provides personalized support and hanger design suggestions for users.

[0155] Example comparison:

[0156] Example 1: traditional design method:

[0157] The pipeline support and hanger design of a certain chemical project adopts the traditional method, and the engineers manually consult the standard specifications, calculate the size and weight of the downline, and draw CAD drawings. The entire design process takes about 30 days, and the participants include 2 pipeline engineers, 1 structural engineer and 1 drafter. There are 3 size errors and 2 standard reference errors in the design process, which leads to multiple rework in the construction stage and increases the project cost by about 15%.

[0158] Example 2: application of the system of the present application:

[0159] The subsequent pipeline support and hanger design of the same chemical project adopts the intelligent design and data management system of the present application. The design process is as follows:

[0160] Standard data preparation: The system automatically updates the latest standard data to ensure the accuracy of the design basis.

[0161] Parameter input: The engineer inputs the pipeline specifications, load parameters and other design conditions through the system interface.

[0162] Size calculation: The system automatically matches the standard specifications to calculate the downline size of the support and hanger, and the calculation time is less than 1 minute.

[0163] Weight calculation: The system automatically calculates the weight of each component according to the downline size, supports batch calculation, and takes 8 seconds to calculate the weight of 1000 support and hangers.

[0164] Drawing generation: The system generates 1:1 scale detailed size drawings and installation sketches with one key, and the generation time is less than 3 seconds per drawing.

[0165] Intelligent assistance: The system performs mechanical analysis on complex spring support and hangers, recommends the optimal spring model, and the analysis time is less than 5 minutes.

[0166] The entire design process takes about 5 days, only one engineer is needed to operate, and there is no design error. Compared with the traditional design method, the design efficiency is increased by 83%, and the design cost is reduced by 60%.

[0167] Example comparison:

[0168]

[0169]

[0170] System performance test data:

[0171] Test item Test index Test result Compliance Standard search response time ≤ 1 second Average 0.3 seconds Compliant Size calculation accuracy ± 0.1 mm Average ± 0.08 mm Compliant Weight calculation error ≤1％ Average 0.5% Compliant Drawing generation speed ≤ 3 seconds per drawing Average 1.8 seconds per drawing Compliant Batch processing capacity ≥ 1000 per minute 6000 per minute Compliant System concurrent user number ≥ 100 Stably support 200 concurrent Compliant System availability ≥99.9％ 99.98％ Compliant

[0172] Calculation result verification mechanism:

[0173] The system adopts a three-level verification mechanism to ensure the accuracy of the calculation results:

[0174] Algorithm verification: The algorithms of each calculation module are theoretically derived and experimentally verified to ensure their correctness.

[0175] Data verification: The system has built-in data verification rules to check the reasonableness of input parameters and calculation results, preventing errors caused by abnormal data.

[0176] Expert verification: The system regularly collects actual application cases and analyzes the differences between the calculation results and actual applications with the expert team to continuously optimize the algorithm model.

[0177] System optimization strategy:

[0178] The system uses the following optimization strategies to improve performance:

[0179] Data caching: Cache frequently used standard data and calculation results to reduce database access times.

[0180] Parallel computing: Use multi-thread parallel computing technology to improve batch processing capability.

[0181] Algorithm optimization: Continuously optimize core algorithms to improve calculation efficiency and accuracy.

[0182] Hardware upgrade: Dynamically adjust server configuration based on system load to ensure stable system operation.

[0183] Through the above implementation, the pipeline support hanger intelligent design and data management system of the present application realizes the automation, intelligence and standardization of pipeline support hanger design, significantly improves the design efficiency and quality, reduces the design cost, and has a broad application prospect.

[0184] The embodiments of the present application are given for the purpose of example and description, and are not exhaustive or limit the present application to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are chosen and described to better illustrate the principles and practical application of the present application, and to enable those of ordinary skill in the art to understand the present application so as to design various embodiments with various modifications for specific purposes.

Claims

1. A smart design and data management system for pipe supports and hangers, characterized in that, include: Standard database module: Includes all pipe support and hanger standards on the market, and updates them online in real time; Size calculation module: Based on the standard database, it calculates the cutting dimensions of supports and hangers, and supports copying and pasting the calculation results into an Excel spreadsheet; Weight calculation module: Automatically calculates the weight of each material of the support and hanger based on the blanking dimensions, and supports batch calculation of the weight of different standard supports and hangers; Drawing generation module: can generate 1:1 scale drawings and installation drawings with one click and output them in CAD format; Intelligent auxiliary module: Embedded spring-type support and hanger calculation program to assist in the design of complex supports and hangers.

2. The system according to claim 1, characterized in that, The standard database module connects to the cloud server via a network interface and automatically updates the standard manual and functional modules according to user needs.

3. The system according to claim 1, characterized in that, The dimension calculation module uses a parametric algorithm. After the user inputs the pipe specifications and load parameters, it automatically matches the standard to generate the cutting dimension data.

4. The system according to claim 1, characterized in that, The weight calculation module has a built-in material density database and, in conjunction with the blanking dimensions, calculates the weight of each material using a three-dimensional volume calculation model.

5. The system according to claim 1, characterized in that, The drawing generation module is based on AutoCAD secondary development technology and automatically generates 1:1 CAD drawings according to the material cutting size parameters and built-in graphic models.

6. The system according to claim 1, characterized in that, The intelligent auxiliary module includes a spring selection algorithm library. For support and hanger structures with different mechanical models, it recommends suitable spring models and parameters based on the force analysis results of the support and hanger, as well as the recommended suitable spring models and support and hanger design parameters.

7. The system according to claim 1, characterized in that, It also includes a data interaction interface module, which supports data docking with BIM models and ERP systems, enabling bidirectional transmission of design data and production management data.

8. The system according to claim 7, characterized in that, The data interaction interface module adopts JSON / XML data format and supports API interface calls and encrypted data transmission.

9. The system according to claim 1, characterized in that, It also includes a user access control module, which controls different users' access to and editing permissions for the standard database, calculation functions and drawings through hierarchical permission settings.

10. The system according to claim 1, characterized in that, It also includes a visual operation interface, which adopts a graphical interactive design and allows users to quickly complete the input of support and hanger parameters and the adjustment of design schemes through drag-and-drop, point-and-click and other operations.

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