Pipeline construction data analysis method based on BIM

Abstract

The invention relates to the technical field of pipeline construction, in particular to a BIM (Building Information Modeling)-based pipeline construction data analysis method, which comprises the following steps of: acquiring pipeline construction information and building structure information, and constructing a BIM comprehensive support hanger model; carrying out modularization processing on the BIM comprehensive support hanger model, and determining key module characteristics; generating a corresponding dynamic collision rule set based on the key module features, performing a multi-dimensional collision test on the BIM comprehensive support hanger model based on the dynamic collision rule set, and judging whether a collision test result meets a preset standard or not; if the test result does not meet the preset standard, determining a collision abnormal node and a comprehensive support hanger path based on the test result; and adjusting the pipeline construction information based on the comprehensive support hanger path, generating a corresponding prefabricated component information base, and determining the construction priority of each prefabricated component in the comprehensive support hanger. The construction efficiency and precision of pipeline construction can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline construction, and in particular to a pipeline construction data analysis method based on BIM. Background Art

[0002] The integrated support and hanger for building pipelines is a device used for the installation and fixation of building water pipes, cables, air conditioning and ventilation pipes, etc. As an indispensable part of the building electromechanical field, the design of the integrated support and hanger has been ignored. It can only be constructed according to the general requirements described in the national standard atlas and more project construction site experience. With the advancement and development of architectural design technology, there are more and more buildings with complex shapes and structures, and various shapes and curved surfaces are everywhere. The use of information technology inside buildings is becoming more and more extensive and high-end, making the electromechanical integration systems inside these special-shaped buildings complicated. Because traditional project management methods are difficult to efficiently handle such complex electromechanical integration systems, the quality of the project and the project benefits are low, and there are endless problems such as information transmission errors, which has become a major problem in the current electromechanical system construction quality.

[0003] The traditional assembly method of integrated support and hanger for electromechanical pipelines is to first collect the electronic drawings of each system and synthesize them into the initial electronic integrated pipeline layout drawing. In the synthesized layout drawing, the key points of the densely arranged pipelines are intercepted, and the preliminary local integrated pipeline support and hanger profile layout drawing is drawn, and the positioning is adjusted. According to the results of the adjustment layout of the integrated pipeline support and hanger, the design of each local section can be determined, and finally the final electronic integrated pipeline support and hanger layout drawing is synthesized for confirmation or approval by all parties involved in the construction. In addition, the various pipelines of the electromechanical system are intricate and the pipelines are densely intertwined. If a collision occurs during construction, dismantling and rework will occur, and even the design plan will be revised, which will not only waste materials, but also lead to relatively low construction efficiency of the pipeline integrated support and hanger.

[0004] At present, BIM technology has been introduced into some construction projects, providing a good technical platform and solution for realizing the integration of design and construction through a three-dimensional collaborative platform and visual information transmission. In such projects, the use of BIM technology for comprehensive layout of pipeline supports and hangers can quickly improve the construction detail design and node design.

[0005] Chinese patent application publication number CN112733229A discloses a method for designing mechanical and electrical integrated pipeline supports and hangers based on BIM technology, comprising the following steps: (1) creating a support and hanger component library; (2) importing the components obtained in step (1) into BIM software for three-dimensional modeling; (3) after the three-dimensional modeling in step (2) is formed, adjusting and optimizing the three-dimensional model of the support and hanger according to relevant construction specifications and mechanical performance analysis, and completing the arrangement, force calculation and product selection of the support and hanger; (4) generating the parts drawings and assembly drawings of each component based on the adjusted and optimized support and hanger arrangement diagram, thereby realizing factory prefabrication production; (5) constructing and installing on site according to the drawings.

[0006] The existing technology has the following problems: the parts drawings and assembly drawings of each component are directly generated according to the support and hanger layout diagram for prefabrication and production, and the on-site construction is carried out according to the drawings. However, in actual construction, various pipelines are intricate, the pipelines are densely intertwined, the construction sequence is chaotic, and it is difficult to ensure the construction efficiency during the assembly process. Summary of the invention

[0007] To this end, the present invention provides a pipeline construction data analysis method based on BIM to overcome the problems of low pipeline construction efficiency and low construction accuracy in the prior art.

[0008] To achieve the above object, the present invention provides a pipeline construction data analysis method based on BIM, comprising: Step S1, obtaining pipeline construction information and building structure information, and constructing a BIM comprehensive support and hanger model; Step S2, modularizing the BIM comprehensive support and hanger model and determining key module features; Step S3, generating a corresponding dynamic collision rule set based on the key module features, performing a multi-dimensional collision test on the BIM integrated support and hanger model based on the dynamic collision rule set, and determining whether the collision test result meets the preset standard; Step S4, if the test result does not meet the preset standard, determining the collision abnormal node based on the test result, and determining the comprehensive support and hanger path based on the connection constraint condition of the collision abnormal node; Step S5, adjusting the pipeline construction information based on the comprehensive support and hanger path, and generating a corresponding prefabricated component information library based on the adjusted pipeline construction information and the building structure information, including the structure and assembly method of each prefabricated component; Step S6, determining the construction priority of each prefabricated component in the integrated support and hanger based on the prefabricated component information library and the building structure information to improve construction efficiency.

[0009] Furthermore, in step S1, constructing a BIM comprehensive support and hanger model includes: Step S11, constructing a pipeline layout model based on the pipeline construction information; Step S12, constructing a BIM building model based on the building structure information; Step S13, integrating the models based on the pipeline layout model and the BIM building model to construct a BIM comprehensive support and hanger model.

[0010] Furthermore, the step S2 comprises: Step S21, dividing the BIM comprehensive support and hanger model into a plurality of adaptation modules based on a preset division rule; Step S22, extracting features from each of the adaptation modules to obtain a number of module features; Step S23, determining key module features based on the association relationship between the module features.

[0011] Furthermore, in step S3, a corresponding dynamic collision rule set is generated based on the key module features, including: Step S31, determining a feature reference value based on the key module feature and the preset module feature; Step S32, determining a plurality of candidate dynamic collision rules based on the characteristic reference value and the dynamic collision model; Step S33 , screening each of the candidate dynamic collision rules based on the key modules corresponding to the key module features to obtain a dynamic collision rule set.

[0012] Furthermore, in step S4, determining the comprehensive support and hanger path includes: Step S41, determining a connection constraint condition of the collision abnormal node based on the node characteristics of the collision abnormal node; Step S42, determining a comprehensive support and hanger path based on the connection constraint conditions of the collision abnormal node.

[0013] Furthermore, in the step S5, a corresponding prefabricated component information library is generated based on the adjusted pipeline construction information and the building structure information, including: Step S51, decomposing the comprehensive support and hanger path based on the adjusted pipeline construction information and the building structure information to obtain a plurality of prefabricated units; Step S52, verifying the assembly compatibility of each prefabricated component in each prefabricated unit based on a preset verification condition; Step S53: if the assembly compatibility of each of the prefabricated components meets the assembly standard, a corresponding prefabricated component information library is generated based on each of the prefabricated components.

[0014] Furthermore, in step S6, the construction priority of each prefabricated component in the integrated support and hanger is determined, including: Step S61, determining the topological dependency relationship of each of the prefabricated components based on the prefabricated component information library and the building structure information; Step S62, constructing a priority scoring model based on the topological dependency of each prefabricated component and the construction complexity of each prefabricated component; Step S63, determining the construction priority of each prefabricated component in the integrated support and hanger based on the prefabricated component information library and the priority scoring model.

[0015] Furthermore, in step S3, it also includes: Step S34, if the collision test result meets the preset standard, a number of adaptation prefabricated units are determined based on each of the adaptation modules; Step S35, determining the assembly compatibility of each prefabricated adaptation component in each prefabricated adaptation unit based on the topological association between each prefabricated adaptation unit; Step S36: If the assembly compatibility of each of the adapted prefabricated components meets the assembly standard, a corresponding adapted prefabricated component information library is generated.

[0016] Furthermore, the step S35 includes: Step S351, constructing a topological association model based on the spatial association relationship, functional association relationship and process association relationship between the adaptation prefabricated units; Step S352, determining the topological association degree between the adaptation prefabricated units based on the topological association model; Step S353: determining the assembly compatibility of each prefabricated component in each prefabricated unit based on the topological association between each prefabricated unit and the compatibility index model.

[0017] Further, the step S62 includes: Step S621, constructing a construction complexity assessment model based on the prefabricated component information library and the building structure information; Step S622, determining the construction complexity of each of the prefabricated components based on the construction complexity assessment model; Step S623: constructing a priority scoring model based on the topological dependencies of the prefabricated components and the construction complexity of the prefabricated components.

[0018] Compared with the prior art, the beneficial effect of the present invention is that the present invention constructs a BIM comprehensive support and hanger model by integrating pipeline construction information and building structure information, which can intuitively present the spatial relationship between the comprehensive support and hanger and the pipeline and building structure. The complex BIM comprehensive support and hanger model is decomposed into several independent modules through modular processing, so that the key module characteristics can be determined to reduce the amount of data processing and improve data processing efficiency. By generating a dynamic collision rule set based on key module characteristics, it can adapt to different project requirements, improve the accuracy and comprehensiveness of collision detection, avoid conflicts between comprehensive supports and hangers and building structures and pipelines during construction, and ensure construction quality and efficiency. By accurately locating abnormal collision nodes and combining connection constraints to determine the comprehensive support and hanger path, an effective solution is provided for solving collision problems, avoiding arbitrary adjustment of support and hanger positions to affect the overall structural stability and pipeline functions, and improving construction efficiency and quality. According to the comprehensive support and hanger path, the pipeline construction information is adjusted to generate a prefabricated component information library to optimize the construction information. The prefabricated component information library contains the prefabricated component structure and assembly method, providing detailed guidance for prefabrication processing, improving the production efficiency and quality of prefabricated parts, reducing the workload of on-site processing, and further improving construction efficiency and construction accuracy. According to the prefabricated component information library and building structure information, the construction plan is determined, the construction priority of each prefabricated component is clarified, the construction sequence is reasonably arranged, construction chaos is avoided, and construction efficiency and construction accuracy are improved.

[0019] Furthermore, the present invention constructs a pipeline layout model based on pipeline construction information, converts abstract pipeline construction information into an intuitive pipeline layout model, can clearly display the direction, diameter, connection relationship, etc. of various pipelines, can intuitively evaluate the rationality of pipeline layout, and provide a reliable basis for the formulation of construction plans. Constructing a BIM building model based on building structure information can accurately present the structural system of the building and ensure the rationality of the construction process. Model integration is performed based on the pipeline layout model and the BIM building model to construct a BIM comprehensive support and hanger model, comprehensively consider the characteristics of pipelines and building structures, optimize the design and layout of comprehensive supports and hangers, reduce construction errors, and improve construction efficiency and quality.

[0020] Furthermore, the BIM comprehensive support and hanger model is relatively complex, covering many support and hanger components and related information with pipelines and building structures. It is divided into several adaptation modules, and the large and complex model is decomposed into smaller and more manageable modules to improve the targeted construction. By extracting the features of each adaptation module, the detailed information of each module can be fully analyzed to provide data support for optimized design. The key module features are determined based on the correlation between the features of each module, which can improve the accuracy of determining the key module features and ensure the construction quality.

[0021] Furthermore, the present invention determines feature reference values ​​based on key module features and preset module features, and thereby determines a number of candidate dynamic collision rules. This can not only avoid missing collision rules, determine corresponding dynamic collision rules from multiple dimensions, but also adapt to dynamic changes in projects and improve the scientific nature of the rules.

[0022] Furthermore, the present invention can accurately locate the root cause of the collision problem by analyzing the node characteristics of the abnormal collision node, thereby determining the connection constraint conditions of the abnormal collision node, providing clear restrictions and guidance for the subsequent determination of the comprehensive support and hanger path, ensuring that the adjusted comprehensive support and hanger path meets safety and functional requirements, avoiding collision problems, and improving construction efficiency.

[0023] Furthermore, the present invention achieves the refinement and standardization of construction tasks by decomposing the comprehensive support and hanger path into several prefabricated units. Each prefabricated unit can be prefabricated in the factory, reducing the time and workload of on-site construction. The prefabricated units are produced in the factory, the production environment is stable, and the quality control is more stringent. Compared with on-site construction, the factory can use more advanced production equipment and processes to ensure the accuracy and quality of prefabricated components. Assembly compatibility verification before the production of prefabricated units can detect possible assembly problems between prefabricated components in advance. Through early verification, it can be ensured that the prefabricated components can be assembled smoothly on site, thereby improving construction efficiency.

[0024] Furthermore, the present invention can clearly understand the sequence of components in the construction process by determining the topological dependencies of each prefabricated component, and construct a priority scoring model based on the topological dependencies of each prefabricated component and the construction complexity of each prefabricated component, which is helpful to formulate a more scientific construction priority of each prefabricated component in the comprehensive support and hanger. According to the priority score, high-priority components are arranged in the early stage of construction or on the critical line, and construction is given priority, which can ensure that the critical path of the entire construction project is not delayed, thereby improving construction efficiency and construction accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flow chart of a pipeline construction data analysis method based on BIM according to an embodiment of the present invention; Figure 2 A schematic diagram of a process for constructing a BIM comprehensive support and hanger model according to an embodiment of the present invention; Figure 3 A schematic diagram of a process for determining a comprehensive support and hanger path according to an embodiment of the present invention; Figure 4 A schematic diagram of a flow chart for determining a comprehensive support and hanger construction plan according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0027] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0028] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0029] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0030] See also Figure 1 As shown, it is a flow chart of a pipeline construction data analysis method based on BIM in an embodiment of the present invention; an embodiment of the present invention provides a pipeline construction data analysis method based on BIM, comprising: Step S1, obtaining pipeline construction information and building structure information, and constructing a BIM comprehensive support and hanger model; In implementation, pipeline construction information includes pipeline direction, diameter, material, connection method, construction process (including welding process parameters, pipeline insulation methods, grounding methods of electrical lines, etc.), pipeline-related equipment information (including models, specifications, dimensions, interface forms and technical parameters of equipment such as water pumps, fans, air-conditioning units, etc.), material information required for pipeline construction (including material specifications, models, quantities, quality standards, etc.), building structure information includes architectural design drawing information (including overall building plan, elevation, section, etc.), building structure information (including building structure plan, reinforcement diagram, foundation diagram, etc., which can reflect the size, reinforcement, material strength grade, burial depth and other information of beams, slabs, columns, walls and other components of the building structure), geological information (including soil type, bearing capacity, groundwater level, etc.), building function information (different building functions have different requirements for pipelines and structures. For example, hospital buildings have extremely high requirements for the reliability and stability of medical gas pipelines and electrical equipment; industrial buildings have special requirements for the bearing capacity and spatial layout of the structure according to the needs of the production process).

[0031] See also Figure 2 As shown, it is a schematic diagram of the process of constructing a BIM comprehensive support and hanger model according to an embodiment of the present invention; specifically, in step S1, constructing a BIM comprehensive support and hanger model includes: Step S11, constructing a pipeline layout model based on the pipeline construction information; Step S12, constructing a BIM building model based on the building structure information; Step S13, integrating the models based on the pipeline layout model and the BIM building model to construct a BIM comprehensive support and hanger model.

[0032] It is understandable that there is no specific limitation on the specific method or modeling software for constructing the pipeline layout model, BIM building model, and BIM comprehensive support and hanger model. For example, using BIM software such as Autodesk Revit and Bentley Systems, pipeline construction information, optimization goals, and constraints are used as inputs, and the optimal pipeline layout solution is solved based on the ant colony algorithm to construct a pipeline layout model. The optimization goals include the shortest total length of pipelines and the smallest spacing between pipelines. The constraints include the minimum force on pipelines and the minimum resource consumption of pipelines. The pipeline layout model and the BIM building model are integrated, and a structural force analysis is performed. Based on the force analysis results, a BIM comprehensive support and hanger model is constructed.

[0033] The present invention constructs a pipeline layout model based on pipeline construction information, converts abstract pipeline construction information into an intuitive pipeline layout model, can clearly display the direction, diameter, connection relationship, etc. of various pipelines, can intuitively evaluate the rationality of pipeline layout, and provide a reliable basis for the formulation of construction plans. Constructing a BIM building model based on building structure information can accurately present the structural system of the building and ensure the rationality of the construction process. Model integration is performed based on the pipeline layout model and the BIM building model to construct a BIM comprehensive support and hanger model, comprehensively consider the characteristics of pipelines and building structures, optimize the design and layout of comprehensive supports and hangers, reduce construction errors, and improve construction efficiency and quality.

[0034] Step S2, modularizing the BIM comprehensive support and hanger model and determining key module features; Specifically, step S2 includes: Step S21, dividing the BIM comprehensive support and hanger model into a plurality of adaptation modules based on a preset division rule; Step S22, extracting features from each of the adaptation modules to obtain a number of module features; Step S23, determining key module features based on the association relationship between the module features.

[0035] During implementation, actual implementers can set preset division rules according to actual conditions or based on building functional areas, spatial locations, connection methods, carrying capacity, etc., to ensure the integrity of the divided adaptation modules, clear boundaries between the adaptation modules and reasonable connection methods.

[0036] It can be understood that, based on the clustering algorithm, each adaptation module is clustered to obtain several cluster sets, each cluster set includes at least one adaptation module, several module features are determined based on the similar features of the adaptation modules in each cluster set, a feature association matrix is ​​constructed based on the features of each module, the correlation coefficient between the features of each module is calculated (if the correlation coefficient of two features is high (0.9~0.95), it means that there is a strong positive correlation between them; if the correlation coefficient is close to -1 (-0.9~-0.95), it means that there is a strong negative correlation), and a feature association diagram is drawn. In the association diagram, each feature is represented by a node, the lines between the nodes represent the association relationship between the features, and the length of the lines between the nodes represents the correlation coefficient, so as to determine the key module features (the number of lines is greater than 1 / 3~1 / 5 of the total number of lines, and the length of the lines is greater than 2 times~3 times the average length of the lines).

[0037] Specifically, the BIM comprehensive support and hanger model is relatively complex, covering many support and hanger components as well as related information with pipelines and building structures. It is divided into several adaptation modules, breaking down the large and complex model into smaller and more manageable modules to improve the targeted construction. By extracting features from each adaptation module, the detailed information of each module can be fully analyzed to provide data support for optimized design. The key module features are determined based on the correlation between the features of each module, which can improve the accuracy of determining the key module features and ensure construction quality.

[0038] Step S3, generating a corresponding dynamic collision rule set based on the key module features, performing a multi-dimensional collision test on the BIM integrated support and hanger model based on the dynamic collision rule set, and determining whether the collision test result meets the preset standard; Specifically, in step S3, a corresponding dynamic collision rule set is generated based on the key module features, including: Step S31, determining a feature reference value based on the key module feature and the preset module feature; Step S32, determining a plurality of candidate dynamic collision rules based on the characteristic reference value and the dynamic collision model; Step S33 , screening each of the candidate dynamic collision rules based on the key modules corresponding to the key module features to obtain a dynamic collision rule set.

[0039] In implementation, according to the key module features Y1, Y2, ..., Y j , …, Y m With preset module features E1, E2, ..., E j , …, E m Determine the characteristic reference value P, P=(∑ m j=1 Y j ×E j ) / (sqrt(∑ m j=1 (Y j ) 2 )×sqrt(∑ m j=1 (E j ) 2 )), sqrt() is the preset square root determination function, j=1, 2,…, m, m is the number of eigenvalues ​​in the module feature.

[0040] It can be understood that the actual implementers can determine the preset module features based on the actual situation or the module features that have passed the qualification test in the historical data, and the actual implementers can determine the sample training set based on the feature reference values ​​determined in the historical data and the dynamic collision rules that have passed the qualification test, and train the neural network model based on the sample training set to obtain the dynamic collision model, and input the feature reference values ​​into the dynamic collision model to obtain several candidate dynamic collision rules output by the dynamic collision model.

[0041] It can be understood that each candidate dynamic collision rule is screened through the comprehensive support and hanger layout, pipeline layout and building structure characteristics of the key modules corresponding to the key module characteristics, and the candidate dynamic collision rules that do not conform to the actual situation are screened out to obtain a dynamic collision rule set.

[0042] The present invention determines feature reference values ​​based on key module features and preset module features, and determines a number of candidate dynamic collision rules based on them. This can not only avoid missing collision rules, determine corresponding dynamic collision rules from multiple dimensions, but also adapt to dynamic changes in projects and improve the scientific nature of the rules.

[0043] Specifically, in step S3, it also includes: Step S34, if the collision test result meets the preset standard, a number of adaptation prefabricated units are determined based on each of the adaptation modules; Step S35, determining the assembly compatibility of each prefabricated adaptation component in each prefabricated adaptation unit based on the topological association between each prefabricated adaptation unit; Step S36: If the assembly compatibility of each of the adapted prefabricated components meets the assembly standard, a corresponding adapted prefabricated component information library is generated.

[0044] Specifically, the step S35 includes: Step S351, constructing a topological association model based on the spatial association relationship, functional association relationship and process association relationship between the adaptation prefabricated units; Step S352, determining the topological association degree between the adaptation prefabricated units based on the topological association model; Step S353: determining the assembly compatibility of each prefabricated component in each prefabricated unit based on the topological association between each prefabricated unit and the compatibility index model.

[0045] In implementation, the collision test results meet the preset standards, that is, the collision result is zero collision. There is no limitation on the method of constructing the topological association model. For example, graph theory analysis, network analysis or deep learning methods are used to assign corresponding weights based on factors such as the degree of connection, distance, and functional dependence between each adaptive prefabricated unit. For example, the weight between units that are tightly connected and have a large functional association is higher, so as to quantify the topological association. By calculating the shortest path and connection strength between each adaptive prefabricated unit, the topological association between each adaptive prefabricated unit is obtained. For example, the shortest path between nodes is calculated using the Dijkstra algorithm. The shorter the path and the higher the connection strength, the higher the topological association.

[0046] It is understandable that the actual implementers can train the machine learning model based on the topological correlation and assembly compatibility relationship between the adaptive prefabricated units in the historical data to obtain a compatibility index model, and input the obtained topological correlation between the adaptive prefabricated units into the compatibility index model to obtain the assembly compatibility of each adaptive prefabricated component in each adaptive prefabricated unit. Assembly compatibility includes interface matching (whether the interface type, size, position, etc. of each adaptive prefabricated component match), reasonableness of spatial layout (no spatial conflict during installation, and sufficient operation and maintenance space), and functional synergy (for example, in the prefabricated unit of the ventilation system, check whether the air volume and air pressure of the fan assembly and the duct assembly match to ensure the normal operation of the ventilation system). It is understandable that the actual implementers can set assembly standards based on actual conditions or based on assembly processes that have passed qualification inspections in historical data. If the assembly compatibility of each adaptable prefabricated component meets the assembly standards, a corresponding adaptable prefabricated component information library is generated, including the name, model, specification, material, bearing capacity, load information, manufacturer, assembly requirements (including assembly position, sequence, connection method, accessories), topological association, etc. of the adaptable prefabricated component.

[0047] Step S4, if the test result does not meet the preset standard, determining the collision abnormal node based on the test result, and determining the comprehensive support and hanger path based on the connection constraint condition of the collision abnormal node; See also Figure 3 As shown, it is a schematic diagram of a process of determining a comprehensive support and hanger path according to an embodiment of the present invention; specifically, in step S4, determining the comprehensive support and hanger path includes: Step S41, determining a connection constraint condition of the collision abnormal node based on the node characteristics of the collision abnormal node; Step S42, determining a comprehensive support and hanger path based on the connection constraint conditions of the collision abnormal node.

[0048] In practice, if the test results do not meet the preset standards, it means that a collision occurs, and the collision position is determined, that is, the collision abnormal node. The node characteristics of the collision abnormal node include the size information of the supports and hangers and related pipelines at the collision abnormal node, such as pipe diameter, length, cross-sectional dimensions of the support and hanger rods, etc.; the coordinate position of the node in three-dimensional space, to clarify its specific position in the building structure; the material type of the supports and hangers and pipelines at the collision abnormal node, and the mechanical properties of different materials (such as yield strength, tensile strength) will affect the connection method and bearing capacity; the existing connection form at the collision abnormal node, such as the specifications, quantity and spacing of the bolts when bolted, and the type and length of the weld when welded.

[0049] It can be understood that the connection constraints include connection strength constraints, connection mode constraints, connection size and tolerance constraints, and installation process constraints. Connection strength constraints: According to the stress conditions of the supports and pipelines and the mechanical properties of the materials, the minimum strength required for the connection parts is calculated. For example, through mechanical analysis, it is determined that when a certain support and hanger node is subjected to the deadweight and vibration load of the pipeline, the tensile strength of the connection part must reach X MPa, which is used as the connection strength constraint. Connection mode constraints: Combined with the geometric characteristics and spatial position of the node, determine the feasible connection method. For example, in areas with narrow space and high requirements for appearance, riveting or concealed bolt connection can be specified; for parts that require frequent disassembly and maintenance, detachable bolt connection is used. Connection size and tolerance constraints: According to the size of the supports and pipelines, determine the size requirements and allowable tolerance range of the connection parts. For example, the diameter tolerance of the connection bolt is specified to be within ±0.5mm to ensure the tightness and reliability of the connection. Installation process constraints: Considering the on-site construction conditions and the workers' operating skills, determine reasonable installation process requirements. For example, for some complex welding connections, professional welding equipment and trained welders are required to operate, and process parameters such as the preheating temperature before welding and the insulation time after welding are specified.

[0050] It can be understood that the priorities of the specific constraints based on the connection constraints are sorted. The constraints have a greater impact on the safety and functionality of the supports and hangers and should be given a higher priority. For example, the connection strength constraint usually has a higher priority because it is directly related to whether the supports and hangers can normally carry the pipelines. Some appearance constraints have a relatively low priority. After determining the priority, high-priority constraints can be given priority when determining the support and hanger path.

[0051] It is understandable that, referring to the building structure drawings, analyzing the positions of beams, columns, walls and other parts of the building structure, avoiding conflicts between the support and hanger paths and structural members, when setting supports and hangers under the beams or beside the columns of the building structure, the bearing capacity and stability of the structure should be considered to ensure that the installation of the supports and hangers will not cause damage to the building structure. Taking the collision abnormal nodes as the starting point, the paths of the supports and hangers are preliminarily planned according to the overall direction and layout of the pipelines. The paths of the supports and hangers should be consistent with the direction of the pipelines as much as possible, reducing unnecessary turns and bends to reduce the force complexity of the supports and hangers. For example, for horizontally laid pipelines, the paths of the supports and hangers should also be kept horizontal as much as possible; for vertically rising or falling pipelines, the paths of the supports and hangers should be perpendicular to them. When preliminarily planning the paths of the supports and hangers, it is necessary to constantly check whether the paths meet the connection constraints. For example, when selecting the installation location of the supports and hangers, it is necessary to ensure that there is enough space for the prescribed connection operations to meet the requirements of the connection method and installation process. If welding connection is adopted, the installation location should be convenient for welders to operate, and the surrounding environment should meet the welding safety requirements. Structural mechanics analysis software is used to analyze the mechanical properties of the initially planned support and hanger paths, and the forces on the supports and hangers under various loads are calculated, such as stress, strain, and deformation. Based on the analysis results, the support and hanger paths are adjusted to make the forces on the supports and hangers more uniform and reasonable, and to avoid areas of stress concentration. The construction process of the support and hanger paths is optimized to reduce construction difficulty and time, and reduce construction costs.

[0052] By analyzing the node characteristics of the abnormal collision nodes, the present invention can accurately locate the root cause of the collision problem, thereby determining the connection constraint conditions of the abnormal collision nodes, providing clear restrictions and guidance for the subsequent determination of the comprehensive support and hanger path, ensuring that the adjusted comprehensive support and hanger path meets safety and functional requirements, avoiding collision problems, and improving construction efficiency.

[0053] Step S5, adjusting the pipeline construction information based on the comprehensive support and hanger path, and generating a corresponding prefabricated component information library based on the adjusted pipeline construction information and the building structure information, including the structure and assembly method of each prefabricated component; Specifically, in step S5, a corresponding prefabricated component information library is generated based on the adjusted pipeline construction information and the building structure information, including: Step S51, decomposing the comprehensive support and hanger path based on the adjusted pipeline construction information and the building structure information to obtain a plurality of prefabricated units; Step S52, verifying the assembly compatibility of each prefabricated component in each prefabricated unit based on a preset verification condition; Step S53: if the assembly compatibility of each of the prefabricated components meets the assembly standard, a corresponding prefabricated component information library is generated based on each of the prefabricated components.

[0054] In implementation, actual implementers can set preset verification conditions based on actual conditions or assembly compatibility conditions that have passed qualification inspection in historical data.

[0055] It is understandable that assembly compatibility includes interface matching (whether the interface type, size, position, etc. of each prefabricated component match), reasonable spatial layout (no spatial conflict during installation, and sufficient space for operation and maintenance), and functional synergy (for example, in the prefabricated unit of the ventilation system, check whether the air volume and air pressure of the fan assembly and the air duct assembly match to ensure the normal operation of the ventilation system). It can be understood that if the assembly compatibility of each prefabricated component meets the assembly standard, a corresponding prefabricated component information library is generated based on each of the prefabricated components, including the name, model, specification, material, bearing capacity, load information, manufacturer, assembly requirements (including assembly position, sequence, connection method, accessories), topological association, etc. of the prefabricated components.

[0056] The present invention realizes the refinement and standardization of construction tasks by decomposing the comprehensive support and hanger path into several prefabricated units. Each prefabricated unit can be prefabricated in the factory, reducing the time and workload of on-site construction. The prefabricated units are produced in the factory, the production environment is stable, and the quality control is more stringent. Compared with on-site construction, the factory can use more advanced production equipment and processes to ensure the accuracy and quality of prefabricated components. Assembly compatibility verification before the production of prefabricated units can detect possible assembly problems between prefabricated components in advance. Through early verification, it can be ensured that the prefabricated components can be assembled smoothly on site, thereby improving construction efficiency.

[0057] Step S6, determining the construction priority of each prefabricated component in the integrated support and hanger based on the prefabricated component information library and the building structure information to improve the construction accuracy.

[0058] See also Figure 4 As shown, it is a schematic diagram of a process for determining a construction plan for a comprehensive support and hanger according to an embodiment of the present invention; specifically, in step S6, determining the construction priority of each prefabricated component in the comprehensive support and hanger includes: Step S61, determining the topological dependency relationship of each of the prefabricated components based on the prefabricated component information library and the building structure information; During implementation, detailed information of each prefabricated component is obtained from the prefabricated component information library, and the building structure information is clarified, including the location, size, bearing capacity, etc. of beams, columns, and walls, as well as the layout of the building space and the division of functional areas. Each prefabricated component is defined as a node. For example, a support bracket and a pipe clamp are each regarded as an independent node. The edges are determined according to the connection relationship or assembly sequence between the components. Professional graphics drawing software or topological analysis tools are used to visualize the nodes and edges to form a topological diagram of the prefabricated components. The dependency of each component is analyzed according to the building structure and construction process, thereby establishing the topological dependency of each prefabricated component.

[0059] Step S62, constructing a priority scoring model based on the topological dependency of each prefabricated component and the construction complexity of each prefabricated component; Specifically, the step S62 includes: Step S621, constructing a construction complexity assessment model based on the prefabricated component information library and the building structure information; Step S622, determining the construction complexity of each of the prefabricated components based on the construction complexity assessment model; Step S623: constructing a priority scoring model based on the topological dependencies of the prefabricated components and the construction complexity of the prefabricated components.

[0060] Step S63, determining the construction priority of each prefabricated component in the integrated support and hanger based on the prefabricated component information library and the priority scoring model.

[0061] In implementation, actual implementers can train machine learning models based on the information of prefabricated components that have passed qualification inspections in historical data and the corresponding building structure information to obtain a construction complexity assessment model to comprehensively assess the complexity of the prefabricated components themselves, the complexity of the installation environment, and the complexity of connections and assembly. Alternatively, the assessment indicators are determined based on the complexity of the prefabricated components themselves, the complexity of the installation environment, and the complexity of connections and assembly. The complexity of the prefabricated components themselves: the geometric shape complexity (such as whether it is a special-shaped structure), size (large components are more difficult to construct), and material properties (special materials may require special construction processes) of the components are obtained from the prefabricated component information library. For example, irregular-shaped supports and hangers are more complex to construct than conventional rectangular supports and hangers; the complexity of super-large components increases due to the difficulty of transportation and installation; the complexity of components made of new alloy materials also increases accordingly because construction personnel are not familiar with their welding and other processes. Installation environment complexity: Based on the building structure information, consider the space limitations of the installation location (such as narrow pipe shafts, equipment-intensive areas), height (high-altitude operations increase construction difficulty), and proximity to other structures or equipment (need to avoid or coordinate construction). In the core tube area of ​​the building, the space is narrow and there are many pipelines of various types. The environmental complexity of installing prefabricated components here is very high; while in the open basement space, the installation environment is relatively simple. Connection and assembly complexity: Refer to the assembly information in the prefabricated component information library to analyze the difficulty of the connection method between components (such as welding, bolt connection, and riveting have different complexities) and the number of connection points (more connection points will take a long time to construct and are prone to errors). For example, the connection method using on-site welding is more complicated than bolt connection, requiring professional welders and difficult to control welding quality; complex support and hanger systems with many connection points require more manpower and time to ensure accurate connections during assembly. The analytic hierarchy process (AHP) and other methods are used to assign indicator weights based on the importance of each evaluation indicator by the expert system to construct a construction complexity evaluation model. For example, the complexity score of the component itself is C1, the complexity score of the installation environment is C2, the complexity score of connection and assembly is C3, and the comprehensive score of construction complexity is S, then S=a×C1+b×C2+d×C3, (each score can be scored according to a pre-established scoring standard, such as dividing each indicator into levels 1 to 5, with level 1 being the lowest complexity and level 5 being the highest complexity), a is the indicator weight corresponding to the complexity of the component itself, b is the indicator weight corresponding to the complexity of the installation environment, and d is the indicator weight corresponding to the complexity of connection and assembly.

[0062] It is understandable that the actual implementers can train the neural network model based on the topological dependencies of prefabricated components in historical data and the construction complexity of each prefabricated component to build a priority scoring model. All prefabricated components are sorted according to the priority score, and the construction order is determined from high to low. Components with high scores are arranged first, and combined with the assembly information and building structure information in the prefabricated component information library, a detailed construction plan is formulated in order of priority.

[0063] The present invention can clearly understand the sequence of components in the construction process by determining the topological dependencies of the prefabricated components, and construct a priority scoring model based on the topological dependencies of the prefabricated components and the construction complexity of the prefabricated components, which is helpful to formulate a more scientific comprehensive support and hanger construction plan. According to the priority score, high-priority components are arranged in the early stage of construction or on the key lines, and construction is given priority, which can ensure that the critical path of the entire construction project is not delayed and improve construction efficiency.

[0064] The present invention constructs a BIM comprehensive support and hanger model by integrating pipeline construction information and building structure information, and can intuitively present the spatial relationship between the comprehensive support and hanger and the pipeline and building structure. The complex BIM comprehensive support and hanger model is decomposed into several independent modules through modular processing, so that the key module features can be determined to reduce the amount of data processing and improve the data processing efficiency. By generating a dynamic collision rule set based on the key module features, it can adapt to different project requirements, improve the accuracy and comprehensiveness of collision detection, avoid conflicts between the comprehensive support and hanger and the building structure and pipeline during construction, and ensure the construction quality and efficiency. By accurately locating the collision abnormal nodes and combining the connection constraints to determine the comprehensive support and hanger path, an effective solution is provided for solving the collision problem, avoiding the arbitrary adjustment of the support and hanger position to affect the overall structural stability and pipeline function, and improving the construction efficiency and quality. According to the comprehensive support and hanger path, the pipeline construction information is adjusted to generate a prefabricated component information library to optimize the construction information. The prefabricated component information library contains the prefabricated component structure and assembly method, provides detailed guidance for prefabrication, improves the production efficiency and quality of prefabricated parts, reduces the workload of on-site processing, and improves construction efficiency. According to the prefabricated component information database and building structure information, the construction priority of each prefabricated component is clarified, the construction sequence is reasonably arranged, construction chaos is avoided, and construction efficiency and construction accuracy are improved.

[0065] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A pipeline construction data analysis method based on BIM, characterized in that: include: Step S1, obtaining pipeline construction information and building structure information, and constructing a BIM comprehensive support and hanger model; Step S2, modularizing the BIM comprehensive support and hanger model and determining key module features; Step S3, generating a corresponding dynamic collision rule set based on the key module features, performing a multi-dimensional collision test on the BIM integrated support and hanger model based on the dynamic collision rule set, and determining whether the collision test result meets the preset standard; Step S4, if the test result does not meet the preset standard, determining the collision abnormal node based on the test result, and determining the comprehensive support and hanger path based on the connection constraint condition of the collision abnormal node; Step S5, adjusting the pipeline construction information based on the comprehensive support and hanger path, and generating a corresponding prefabricated component information library based on the adjusted pipeline construction information and the building structure information, including the structure and assembly method of each prefabricated component; Step S6, determining the construction priority of each prefabricated component in the integrated support and hanger based on the prefabricated component information library and the building structure information to improve the construction accuracy.

2. The pipeline construction data analysis method based on BIM according to claim 1, characterized in that: In the step S1, constructing the BIM comprehensive support and hanger model includes: Step S11, constructing a pipeline layout model based on the pipeline construction information; Step S12, constructing a BIM building model based on the building structure information; Step S13, integrating the models based on the pipeline layout model and the BIM building model to construct a BIM comprehensive support and hanger model.

3. The pipeline construction data analysis method based on BIM according to claim 2 is characterized in that: The step S2 comprises: Step S21, dividing the BIM comprehensive support and hanger model into a plurality of adaptation modules based on a preset division rule; Step S22, extracting features from each of the adaptation modules to obtain a number of module features; Step S23, determining key module features based on the association relationship between the module features.

4. The pipeline construction data analysis method based on BIM according to claim 3 is characterized in that: In step S3, a corresponding dynamic collision rule set is generated based on the key module features, including: Step S31, determining a feature reference value based on the key module feature and the preset module feature; Step S32, determining a number of candidate dynamic collision rules based on the feature reference value and the dynamic collision model; Step S33 , screening each of the candidate dynamic collision rules based on the key modules corresponding to the key module features to obtain a dynamic collision rule set.

5. The pipeline construction data analysis method based on BIM according to claim 4 is characterized in that: In step S4, determining the comprehensive support and hanger path includes: Step S41, determining a connection constraint condition of the collision abnormal node based on the node characteristics of the collision abnormal node; Step S42, determining a comprehensive support and hanger path based on the connection constraint conditions of the collision abnormal node.

6. The pipeline construction data analysis method based on BIM according to claim 5 is characterized in that: In the step S5, a corresponding prefabricated component information library is generated based on the adjusted pipeline construction information and the building structure information, including: Step S51, decomposing the comprehensive support and hanger path based on the adjusted pipeline construction information and the building structure information to obtain a plurality of prefabricated units; Step S52, verifying the assembly compatibility of each prefabricated component in each of the prefabricated units based on a preset verification condition; Step S53: if the assembly compatibility of each of the prefabricated components meets the assembly standard, a corresponding prefabricated component information library is generated based on each of the prefabricated components.

7. The pipeline construction data analysis method based on BIM according to claim 6 is characterized in that: In step S6, the construction priority of each prefabricated component in the integrated support and hanger is determined, including: Step S61, determining the topological dependency relationship of each of the prefabricated components based on the prefabricated component information library and the building structure information; Step S62, constructing a priority scoring model based on the topological dependency of each prefabricated component and the construction complexity of each prefabricated component; Step S63, determining the construction priority of each prefabricated component in the integrated support and hanger based on the prefabricated component information library and the priority scoring model.

8. The pipeline construction data analysis method based on BIM according to claim 3 is characterized in that: In the step S3, it also includes: Step S34, if the collision test result meets the preset standard, a number of adaptation prefabricated units are determined based on each of the adaptation modules; Step S35, determining the assembly compatibility of each prefabricated adaptation component in each prefabricated adaptation unit based on the topological association between each prefabricated adaptation unit; Step S36: If the assembly compatibility of each of the adapted prefabricated components meets the assembly standard, a corresponding adapted prefabricated component information library is generated.

9. The pipeline construction data analysis method based on BIM according to claim 8 is characterized in that: The step S35 comprises: Step S351, constructing a topological association model based on the spatial association relationship, functional association relationship and process association relationship between the adaptation prefabricated units; Step S352, determining the topological association degree between the adaptation prefabricated units based on the topological association model; Step S353: determining the assembly compatibility of each prefabricated component in each prefabricated unit based on the topological association between each prefabricated unit and the compatibility index model.

10. The pipeline construction data analysis method based on BIM according to claim 7, characterized in that: The step S62 comprises: Step S621, constructing a construction complexity assessment model based on the prefabricated component information library and the building structure information; Step S622, determining the construction complexity of each of the prefabricated components based on the construction complexity assessment model; Step S623: constructing a priority scoring model based on the topological dependencies of the prefabricated components and the construction complexity of the prefabricated components.

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