A detailed design method for a pipe steel structure lap hanger system

Abstract

This invention provides a detailed design method for a steel pipe structure lap hanger system, belonging to the field of building construction technology. The method includes: analyzing the mechanical conditions, environmental factors, and pipeline usage environment of the steel structure roof; formulating a preliminary hanger structure scheme; simulating the scheme using finite element software; performing structural mechanics analysis; designing the connection nodes of the hanger components; establishing a three-dimensional model of the hanger based on the detailed design scheme and conducting construction simulation; optimizing the hanger construction based on the simulation results; estimating the cost based on the hanger structure and material selection; adjusting the hanger material selection based on the cost budget; and finally, constructing the hanger according to the optimized scheme. This method solves the problem that existing hanger designs often lack detailed stress analysis and fail to fully consider stress conditions under various complex working conditions, thus affecting the safety and reliability of the hangers.

Description

Technical Field

[0001] This invention belongs to the field of building construction technology, and specifically relates to a detailed design method for a pipe steel structure lap hanger system. Background Technology

[0002] In the construction industry, steel structures are widely used in various building structures due to their superior mechanical properties, fast construction speed, and recyclable materials, especially in high-rise buildings, large-span spatial structures, and industrial plants. However, with the increasing popularity and complexity of steel structure buildings, traditional steel structure construction methods have gradually revealed some problems and limitations.

[0003] In existing pipe hanger designs, the stress analysis is often not detailed enough, failing to fully consider the stress conditions under various complex working conditions, which affects the safety and reliability of the hangers. Furthermore, the lack of detailed analysis during hanger construction negatively impacts the construction efficiency. Therefore, this paper proposes a detailed design method for a pipe steel structure lap joint hanger system. Summary of the Invention

[0004] This invention provides a detailed design method for a pipe steel structure lap hanger system, which solves the problem that the stress analysis in existing hanger designs is often not detailed enough and fails to fully consider the stress conditions under various complex working conditions, thus affecting the safety and reliability of the hanger.

[0005] In view of the above problems, the technical solution proposed by the present invention is as follows:

[0006] This invention provides a method for detailed design of a pipe steel structure lap hanger system, comprising the following steps:

[0007] S1, Requirements Analysis: Analyze the mechanical conditions, environmental factors, and pipeline usage environment of the steel structure roof to determine the structural requirements of the pipeline.

[0008] S2, Scheme Design: Develop a preliminary hanger structure scheme, including structural layout and component types;

[0009] S3, Structural Analysis: Using finite element software to simulate the scheme and perform structural mechanics analysis;

[0010] S4, Detailed design, refinement of hanger structure design, and design of connection nodes for hanger components;

[0011] S5, Construction Simulation: Based on the refined design scheme, a 3D model of the hanger is created, and construction simulation is performed. Based on the construction simulation results, the construction of the hanger is optimized.

[0012] S6, Material Selection: Select materials and suppliers for the hoisting components according to design requirements, and understand the material information;

[0013] S7, Cost Budgeting: Estimate costs based on the structure and materials of the hanger, and understand the costs.

[0014] S8, Scheme adjustment: Adjust the selection of hanger materials according to the cost budget structure to control costs;

[0015] S9. Determine the plan based on the final material selection and final drawings;

[0016] S10, Construction: Workers are constructing the scaffolding according to the optimized plan.

[0017] As a preferred embodiment of the present invention, step S1 specifically includes:

[0018] Step S11: Use sensors to detect the load and connection points of the steel structure roof and perform load analysis.

[0019] Step S12: Use equipment to analyze earthquakes, groundwater levels, and climate change;

[0020] Step S13: Analyze the internal load of the pipeline, including the pressure and temperature of the medium.

[0021] Step S14: Collect and analyze data on the pipeline construction space;

[0022] Step S15: Based on the analysis in steps S11-S14, design the basic treatment method for the pipeline, including the structural optimization of the steel structure roof, the structure of the pipeline hanger, the hoisting machinery and equipment, and the construction sequence.

[0023] As a preferred embodiment of the present invention, step S2 specifically includes:

[0024] Step S21: Based on the pipeline route and the preliminary layout of the hangers according to the building structure, determine the installation location of the hangers;

[0025] Step S22: Calculate the weight of the pipe and the fluid in it, including the working load and the dynamic load;

[0026] Step S23, determining the spacing of the hangers based on the weight of the pipe and the load-bearing capacity of the hangers is a preferred technical solution of the present invention;

[0027] Step S24: Determine the preliminary installation plan for the hanger based on the data from steps S21-S23;

[0028] Step S25: Select the hanging frame components according to the installation plan, including hangers, crossbeams, connectors, pipe clamps, and vibration damping elements.

[0029] As a preferred embodiment of the present invention, step S3 specifically includes:

[0030] Step S31: Determine the analysis direction, including the load-bearing capacity of the hanger structure, the stability of the hanger structure, and the stress distribution of the hanger;

[0031] Step S32: Based on the hanger layout and components in step S2, obtain the hanger design drawings, material properties and load conditions;

[0032] Step S33: Use finite element software to build a model based on the hanger drawings and perform finite element mesh generation on the model;

[0033] Step S34: Define the properties of the hanger material in the finite element software, set the boundary adjustment of the hanger structure for constraint, define the load type, and apply the load to the model;

[0034] Step S35: Select the solver according to the type of analysis needed, and solve the model;

[0035] S36, View the solution results and optimize the structure of the hanger based on the structure.

[0036] As a preferred embodiment of the present invention, step S4 specifically includes:

[0037] Step S41: Based on the optimized hanger structure in step S3, select the type of hanger connection node, including bolted connection and welded connection;

[0038] Step S42: Select the specifications and quantity of bolts, calculate the preload and tensile strength of the bolts, and design the bolt installation method;

[0039] Step S43: Select the welding method and welding materials, calculate the strength of the welded joint, and design the welding sequence;

[0040] Step S44: Use finite element software to perform stress analysis on the design scheme of the connection node, determine the type of the node, and decide whether to add a reinforcing structure.

[0041] As a preferred embodiment of the present invention, step S5 specifically includes:

[0042] Step S51: Using the "five-step modeling method" based on BIM technology, complete the modeling of the hanger structure, including hangers, beams, connectors, pipe clamps and vibration damping elements, and establish the connection and dependency relationships between components;

[0043] Step S52: Integrate the models of the steel roof structure and pipes into the hanger model, keeping the coordinates consistent between the models;

[0044] Step S53: Define the scope and type of collision detection, run the collision detection tool, and present the location and type of the collision in a graphical form;

[0045] Step S54: Assess the severity of the conflict based on the conflict diagram and determine whether the plan needs to be adjusted.

[0046] Step S55: After adjusting the scheme, perform collision detection again until no conflicts occur;

[0047] Step S56: Use the maintenance simulation tool to identify the complete collision detection model, identify the maintenance problems in the model, and display the location of the problem in the model;

[0048] Step S57: Modify the hanger solution according to the location of the problem until no maintenance problems occur.

[0049] As a preferred embodiment of the present invention, the cost analysis in step S7 is based on a big data cost analysis system, utilizing mathematical models and solution algorithms for cost budget analysis and control, specifically including:

[0050] Step S71: Divide the cost of the hanger into material cost and production cost. Production cost includes maintenance cost, labor cost and energy cost.

[0051] Step S72: Collect cost data, market price information and supplier quotation information of the hangers in past projects, integrate the data and convert it into a format suitable for analysis;

[0052] Step S73: Construct a mathematical model for multi-factor correlation analysis of hanger material cost using the collected data. Use correlation algorithms to analyze the correlation between hanger material cost and multiple factors, and analyze the cost influencing factors and their degree of influence.

[0053] Step S74: Using the collected data, a hanger material cost analysis model is constructed that couples big data mining technology and statistical methods based on hanger material cost. Multi-dimensional analysis of hanger material cost by material category, specification, and supplier is a preferred technical solution of this invention.

[0054] Step S75: Develop a construction cost budget based on the hanger material cost information in the model.

[0055] As a preferred embodiment of the present invention, step S8 specifically includes:

[0056] Step S81: Using historical cost data and market trends, identify the difference between actual costs and cost budgets, and determine the factors that cause the cost difference;

[0057] Step S82: Assess the impact of different cost factors on total cost, analyze the distribution of cost variances across different cost components, and determine which components have the greatest impact on total cost.

[0058] Step S83: Optimize the design scheme and communicate with suppliers about pricing or using lower-cost alternative materials;

[0059] Step S84: Track actual costs by predicting future trends in hanger material costs using Monte Carlo simulation.

[0060] Step S85: Perform sensitivity analysis on the prediction results, rank the sensitivity of cost factors, and adjust the project budget.

[0061] As a preferred embodiment of the present invention, step S9 specifically includes:

[0062] Step S91: Based on the final material selection and drawings, summarize the costs, conduct a risk assessment of the costs, and formulate corresponding risk response strategies.

[0063] Step S92: Submit the plan to the management for approval, integrate the approval opinions and make necessary modifications, and review the revised plan again.

[0064] Step S93: After all approvals and modifications are completed, confirm the final cost budget, design plan, and construction plan.

[0065] Compared with the prior art, the beneficial effects of the present invention are:

[0066] (1) The present invention uses three-dimensional modeling technology to create a three-dimensional model of the pipe steel structure lap support, conduct collision tests and maintenance simulations, resolve potential conflicts in advance, optimize the scheme design, improve the feasibility of the scheme, and reduce rework and delays in the construction process.

[0067] (2) The present invention uses a mathematical model to analyze the construction cost of pipe hangers. The model can integrate information from multiple aspects such as historical data, market information, design schemes and supplier quotations to provide a comprehensive perspective for analyzing and controlling costs, optimizing cost control processes, and realizing the dynamic correlation between cost control and construction progress.

[0068] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0069] Figure 1This is a flowchart illustrating a detailed design method for a pipe steel structure lap hanger system disclosed in this invention. 。 Detailed Implementation

[0070] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0071] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0072] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0073] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0074] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0075] Example 1

[0076] See attached document Figure 1 As shown, the present invention provides a technical solution: a method for detailed design of a pipe steel structure lap hanger system, comprising the following steps:

[0077] S1, Requirements Analysis: Analyze the mechanical conditions, environmental factors, and pipeline usage environment of the steel structure roof to determine the structural requirements of the pipeline.

[0078] S2, Scheme Design: Develop a preliminary hanger structure scheme, including structural layout and component types;

[0079] S3, Structural Analysis: Using finite element software to simulate the scheme and perform structural mechanics analysis;

[0080] S4, Detailed design, refinement of hanger structure design, and design of connection nodes for hanger components;

[0081] S5, Construction Simulation: Based on the refined design scheme, a 3D model of the hanger is created, and construction simulation is performed. Based on the construction simulation results, the construction of the hanger is optimized.

[0082] S6. Material selection: Select materials and suppliers for the hoisting components according to design requirements, understand the material information, ensure that the materials have sufficient load-bearing capacity, and select appropriate materials and specifications based on the characteristics of the piping system and the usage environment.

[0083] S7, Cost Budgeting: Estimate costs based on the structure and materials of the hanger, and understand the costs.

[0084] S8, Scheme adjustment: Adjust the selection of hanger materials according to the cost budget structure to control costs;

[0085] S9. Determine the plan based on the final material selection and final drawings;

[0086] S10, Construction: Workers are constructing the scaffolding according to the optimized plan.

[0087] The specific implementation methods of the above steps are described in detail below:

[0088] The specific implementation of step S1 is as follows: Pressure sensors, strain gauges, and other sensors are used to detect the load and connection points of the steel structure roof and perform load analysis. Seismographs are used to analyze seismic wave data to determine the intensity and location of earthquakes. Groundwater level monitoring instruments are used to detect groundwater pressure and calculate the water level. Climate change data is collected using ground monitoring stations. Climate trends are predicted using climate models and historical climate data. By analyzing the correlation function of earthquake background noise, changes in seismic wave velocity can be extracted, and the relationship between changes in seismic wave velocity and precipitation and groundwater level adjustment can be analyzed. Pascal's law and stress formula are used to calculate and analyze the liquid and fixed pressure in the pipeline, respectively. Thermal expansion of the pipeline is analyzed. GIS technology is used to collect and analyze geospatial data of pipeline construction. The structure of the steel structure roof of the pipeline is optimized, such as strengthening connection nodes. The structure of the pipeline hangers and the pipeline route are designed. Lifting machinery and equipment, such as cranes, are selected according to requirements. A preliminary design of the construction sequence is carried out based on the route and the improved structure.

[0089] The specific implementation of step S2 is as follows: Based on the pipeline route and the preliminary layout of the hangers in the building structure plan, determine the installation position of the hangers, calculate the weight of the pipeline and the fluid in it, and evaluate the working load and dynamic load of the pipeline based on the calculated data. The working load is the fluid flow rate and pressure that the pipeline needs to withstand under normal operating conditions, while the dynamic load is the load caused by changes in fluid flow, such as fluid acceleration or deceleration, pressure fluctuations, or temperature changes. The changes in values ​​are monitored by sensors, and the temperature changes of fluid flow are simulated using fluid dynamics software. Based on factors such as pipeline material, cross-sectional stiffness, and allowable deflection, the maximum allowable span of the pipeline supports and hangers is determined with reference to relevant specifications. For example, the "Code for Acceptance of Construction Quality of Ventilation and Air Conditioning Engineering" GB50243-2002 provides the maximum spacing of supports and hangers for different pipe diameters to ensure that the hanger spacing meets the stability requirements of the pipeline system. The preliminary installation plan of the hangers is adjusted according to the analysis results, and the hanger components, including hangers, crossbeams, connectors, pipe clamps, and vibration damping elements, are selected according to the installation plan.

[0090] The specific implementation of step S3 is as follows: Using the sensors from step S1, the load-bearing capacity, stability, and stress distribution of the hanger structure are calculated. Based on the hanger layout and components from step S2, the design drawings, material properties, and load conditions of the hanger are obtained. A model is built using finite element software based on the hanger drawings. The model is then meshed using finite element methods. The properties of the hanger material are defined in the finite element software, including elastic modulus, Poisson's ratio, density, and yield strength. Boundary adjustments are set to constrain the hanger structure, such as fixed supports, sliding supports, and displacement constraints. Load types are defined, and the loads are applied to the model. Solvers of static analysis, dynamic analysis, and nonlinear analysis types are selected according to the type of analysis required. The model is solved, and the results, including displacement, stress, strain, and reaction force, are viewed. The hanger structure is then optimized based on the structural requirements.

[0091] The specific implementation of step S4 is as follows: Based on the optimized hanger structure in step S3, select the type of hanger connection node, including bolted connection and welded connection; select the specifications and quantity of bolts; calculate the preload and tensile strength of the bolts; design the bolt installation method; select the welding method and welding material; calculate the strength of the welded joint; design the welding sequence; consider the weldability of the hanger material in the welding method, including its coefficient of thermal expansion, thermal conductivity, hardness, etc.; use finite element software to perform stress analysis on the design scheme of the connection node; determine the type of node; and decide whether to add a reinforcing structure, including stiffening ribs, reinforcing plates, etc.

[0092] The specific implementation of step S5 is as follows: Based on BIM technology, a "five-step modeling method" is used, following the five steps of finding the part plane—setting the working plane—selecting section attributes—determining the start and end positions of the part—adjusting the positional relationships of the part. After the member information is created, node connections can be created between members to complete the modeling of the hanger structure, including hangers, beams, connectors, pipe clamps, and vibration damping elements. The connection and dependency relationships between components are established. The models of the steel roof structure and pipelines are integrated into the hanger model, maintaining the coordinate consistency between models. The scope and type of collision monitoring are defined, including hard collisions and soft collisions. The collision detection tool is run to present the location and type of conflict in graphical form. The severity of the conflict is assessed based on the conflict graph, and it is determined whether the scheme needs to be adjusted. After adjusting the scheme, collision detection is performed again until no conflict occurs. The maintenance simulation tool is used to identify the complete model of collision detection, set maintenance simulation parameters, including maintenance plans, maintenance tasks, and maintenance resources, identify maintenance problems in the model, and display the location of the problem in the model. The hanger scheme is modified according to the problem location until no maintenance problems occur, and the scheme is adjusted.

[0093] The specific implementation of step S6 is as follows: Based on the adjusted scheme, determine the required load-bearing capacity of the materials according to the weight of the pipeline and the stress on the hanger, and consider the durability of the materials. According to national standards and industry specifications, select materials that meet the requirements, such as carbon steel, stainless steel, aluminum alloy, etc. Based on the stress analysis of the hanger and the material properties, determine the cross-sectional dimensions of components such as hanger rods and crossbeams. Then, screen the materials based on the information of material suppliers in previous projects, understand the price and supply of the required materials, and conduct performance tests on the samples provided by the suppliers to ensure quality. The selection is made by comprehensively considering the material performance, supplier price and sample test results.

[0094] Step S7's cost analysis is based on a big data cost analysis system. It utilizes mathematical models and solving algorithms for cost budget analysis and control. Specifically, the cost composition of the hanger is divided into material costs and production costs. Production costs include maintenance costs, labor costs, and energy costs. Cost data, market price information, and supplier quotation information for hangers from past projects are collected. This data is integrated and converted into a suitable format for analysis, including structured data or data cubes. A multi-factor correlation analysis mathematical model for hanger material costs is constructed using the collected data. Correlation algorithms, such as rule-based algorithms, fuzzy models, rough sets, and dynamic fuzzy clustering, are used to analyze the correlation between hanger material costs and multiple factors. The influencing factors and their degree of influence are analyzed. A hanger material cost analysis model, combining big data mining technology and statistical methods, is constructed based on the collected data. Multi-dimensional analysis of hanger material costs is performed by material category, specification, and supplier. The analysis diagnoses the production process level, management level, and raw material procurement costs of various materials and their subcategories from suppliers. A construction cost budget is then developed based on the hanger material cost information in the model.

[0095] The specific implementation of step S8 is as follows: using historical cost data and market trends, identify the difference between actual costs and the cost budget, determine the factors causing the cost difference, such as price changes, inefficiencies, and design changes, assess the impact of different cost factors on the total cost, analyze the distribution of cost differences across different cost components, determine which parts have the greatest impact on the total cost, optimize the design scheme, communicate with suppliers about prices or use lower-cost alternative materials, track actual costs, predict the future trend of hanger material costs using Monte Carlo simulation, conduct sensitivity analysis on the prediction results, rank the sensitivity of cost factors, adjust the project budget, and ensure the rationality and flexibility of the budget.

[0096] The specific implementation method of step S9 is as follows: Based on the final material selection and drawings, summarize the costs, conduct a risk assessment of the costs, such as material price fluctuations and construction delays, formulate corresponding risk response strategies, such as increasing the reserve fund and optimizing the construction plan, submit the plan to the management for approval, integrate the approval opinions and make necessary modifications, review the modified plan again, and confirm the final cost budget, design plan and construction plan after all approvals and modifications are completed.

[0097] The specific implementation of step S10 is as follows: Installation points are pre-set in the construction space according to the design scheme; installation is carried out according to the installation points; modular design is performed on the hoisting components, including hangers, beams, connectors, pipe clamps, and vibration damping elements; the assembled modules of hangers, beams, connectors, pipe clamps, and vibration damping elements are then assembled using the designed connection method and installed on the steel structure roof; the pipes on the steel structure roof are hoisted; and modular construction improves construction efficiency.

[0098] The following provides a second specific embodiment of the present invention, which differs from the first specific embodiment in that steps S1, S2, S4, S7, and S8 all use mathematical calculations to limit specific data, as described in detail below:

[0099] The specific implementation of step S1 is as follows: Calculate the changes in seismic waves to understand the changes in the grounding part of the steel structure. The formula for calculating the changes in seismic waves using the monitoring data of the seismograph is as follows:

[0100]

[0101] Where dv is the change in seismic wave velocity, and v is the velocity, with units of m / s;

[0102] The pressure inside the pipe is calculated based on the pressure it can withstand from the internal fluid. The liquid pressure inside the pipe is calculated using Pascal's Law with the following formula:

[0103] P = ρgh

[0104] Where ρ is the liquid density, g is the gravitational acceleration, and h is the liquid height;

[0105] The constant pressure inside the pipeline is calculated using the following formula:

[0106]

[0107] Where F is the applied force and A is the area of ​​the force application;

[0108] The purpose of calculating the thermal expansion of pipelines is to understand the changes in pipelines caused by temperature variations, providing information to support the selection of pipeline materials. The thermal expansion formula is used to calculate the thermal expansion of pipelines, as follows:

[0109] ΔL=L·α·ΔT

[0110] Where α is the coefficient of thermal expansion of the material, and ΔT is the temperature change.

[0111] The specific implementation of step S2 is as follows: Calculate the weight of the fluid in the pipe to provide data support for the load on the pipe. The formula for calculating the fluid weight is as follows:

[0112] W = ρV

[0113] Where W is the fluid weight, ρ is the fluid density, and V is the fluid volume;

[0114] Calculate the maximum allowable span of pipe hangers to determine the number and cost of pipe hangers. The calculation method is as follows:

[0115]

[0116] Among them, L max φ is the maximum allowable span of the pipe support under strength conditions, W is the transverse weld coefficient of the pipe, q is the calculated load on the pipe length, and δ is the cross-sectional bending coefficient of the pipe. t Allowable stress of steel pipe.

[0117] The specific implementation of step S4 is as follows: When bolts are selected for connection at the connection nodes, the bolt preload and tensile strength are calculated to find a more stable connection method. The formula for calculating the bolt preload is as follows:

[0118] F = K × F x

[0119] Where K is the preload coefficient, and the preload is determined based on the properties of the bolt connection surface, referring to relevant design specifications or engineering experience to determine the value of K, F x The tensile force of the bolt;

[0120] The formula for calculating the tensile strength of a bolt is as follows:

[0121] F x =P×A

[0122] Where P is the tensile load of the bolt, and A is the effective area of ​​the bolt;

[0123] When calculating the preload and tensile strength of bolts, it is necessary to consider factors such as the working conditions of the hanger, material properties, and the nature of the connection surface. At the same time, it is necessary to refer to relevant design specifications and engineering experience to ensure the accuracy and reliability of the calculation results.

[0124] When using welding to connect parts, calculate the strength of the welded joint to find a more robust method. The specific calculation formula is as follows:

[0125] Tensile strength formula: F=f×k, where f is the tensile strength of the weld metal and k is the stress concentration factor of the weld joint;

[0126] Fatigue strength formula: Where f is the fatigue limit of the weld metal, and k is the stress concentration factor of the weld joint;

[0127] The finite element method is used to analyze the forces on the connection nodes and determine the location of the maximum stress concentration at the nodes. Specifically, the structure is discretized into a finite number of elements, and an interpolation function is applied to each element to approximate the displacement field. The equilibrium equations of the elements are solved using the forces and displacements at the nodes.

[0128] The specific implementation of step S5 is as follows: a three-dimensional model is established using three-dimensional software, integrating model establishment, collision detection and maintenance simulation functions, and expanding maintenance simulation tools to improve the comprehensiveness of maintenance simulation. A collaborative workbench is used to integrate data and collaborative work from different software.

[0129] The specific implementation of step S7 is as follows: An association algorithm is used to analyze the correlation between the cost of the hanger material and multiple factors. The grey relational analysis method is used, with cost as the reference series and other influencing factors as comparison series, to calculate the correlation coefficient. The formula is as follows:

[0130]

[0131] Where ξ represents the correlation coefficient, R represents a data point in the reference series, max(R) is the maximum value in the reference series, ρ is the resolution coefficient, ρ typically takes a value between 0 and 1, and the correlation degree is the weighted average of the correlation coefficients. Considering the weights, the formula for calculating the correlation degree is:

[0132]

[0133] Among them, w i It is the i-th correlation coefficient, ξ. i It is the i-th correlation coefficient, and n is the total number of influencing factors. The correlation between each factor is obtained, and the analysis results are applied to cost control and decision support to optimize material procurement, production process and cost budget.

[0134] Based on the correlation results between various factors, a cost analysis model for hanger materials is developed by coupling big data mining technology with statistical methods. A classification algorithm is used to group suppliers according to material type or production process level to identify the characteristics of high-cost and low-cost suppliers. Regression analysis is used to explore the degree and trend of the impact of different factors on costs. A cost prediction model is built based on the big data mining results to predict costs and provide cost control and decision support for enterprises. Construction cost budgets are formulated based on the hanger material cost information in the model.

[0135] The specific implementation of step S8 is as follows: the Monte Carlo simulation method is used to obtain numerical results through repeated random sampling. A random number generator is used to generate a random number sequence that conforms to a specific probability distribution. Based on the generated random numbers and the cost calculation model, the cost of each simulation is calculated. Steps 3 and 4 are repeated a sufficient number of times to obtain a large number of simulation results. All simulation cost results are collected, and statistical methods are used to analyze these results, such as calculating the mean, variance, and standard deviation. Various uncertain factors are simulated to understand changes in raw material price fluctuations, market supply and demand changes, etc., in order to predict the range and probability distribution of future hanger material cost changes.

[0136] Sensitivity analysis was performed on the prediction results, and the sensitivity index for each factor was calculated using the following formula:

[0137]

[0138] Among them, SI i ΔC is the sensitivity index of the i-th factor, ΔC is the change in cost caused by the change in the i-th factor, and Δx is the sensitivity index of the i-th factor. i It is the change in the i-th factor;

[0139] Use statistical algorithms to evaluate the contribution of input variables to cost variance.

[0140] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the invention by those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the invention should be included within the scope of protection of the invention.

[0141] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0142] In the detailed description above, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features in a single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, with each claim representing a separate preferred embodiment of the invention.

Claims

1. A method for deepening a pipe steel structure overlap hanger system, characterized in that, Comprise the following steps: S1, requirement analysis, analysis of the mechanical conditions of steel structure roof, environmental factors and pipeline use environment, determine the structure requirement of pipeline, step S1 specifically includes: Step S11, using sensors to detect the load of steel structure roof and connecting point, and carrying out load analysis; Step S12, using equipment to analyze earthquake, underground water level and climate change, by analyzing the correlation function of seismic background noise, extracting the change of seismic wave velocity, analyzing the relationship between the change of seismic wave velocity and precipitation and underground water level adjustment, using Pascal's law and stress formula to calculate and analyze the liquid and fixed pressure in the pipeline, and analyzing the thermal expansion of the pipeline; Step S13, analyze the internal load of the pipeline, including medium pressure and temperature analysis; Step S14, collect and analyze data of pipeline construction space; Step S15, based on the analysis of step S11-Step S14, design the foundation treatment method of pipeline, including structure optimization of steel structure roof, structure of pipeline suspension frame, hoisting mechanical equipment and construction sequence; S2, scheme design, make a preliminary suspension structure scheme, including structure layout and component type; S3, structure analysis, using finite element software to simulate the scheme, and analyzing the structure mechanics; S4, deepening design, refining the suspension structure design, designing the connection node of suspension component; S5, construction simulation, according to the deepened design scheme, establish three-dimensional model of suspension frame, and carry out construction simulation, according to the construction simulation, optimize the construction of suspension frame, step S5 specifically includes: Step S51, based on BIM technology, using "five-step modeling method", complete the model establishment of suspension structure, including boom, crossbeam, connecting piece, pipe clamp and damping element, and establish the connection relationship and dependency relationship between components; Step S52, integrate the model of steel structure roof structure and pipeline into the model of suspension frame, keep the coordinates of the models unified; Step S53, define the range and type of collision monitoring, run the collision detection tool, and present the position and type of conflict in graphical form; Step S54, according to the graphical representation of conflict, evaluate the severity of conflict, and judge whether the scheme needs to be adjusted; Step S55, after adjusting the scheme, re-carry out collision detection until no conflict occurs; Step S56, use maintenance simulation tool to identify the complete model of collision detection, identify the maintenance problems existing in the model, and display the position of the problem in the model; Step S57, according to the problem position, modify the scheme of suspension frame, until there is no maintenance problem; S6, material selection, select the material and supplier of the hanger component according to the design requirements, understand the information of the material, the supplier selection process of step S6 is based on the adjusted scheme, determine the required bearing capacity of the material according to the weight of the pipeline and the stress of the hanger, and select the material meeting the requirements considering the durability of the material, determine the cross-sectional size of the boom and beam component according to the stress analysis of the hanger and the material performance, and then screen according to the information of the material supplier of the project, understand the price and supply of the required material, and test the performance of the sample provided by the supplier, and select comprehensively considering the material performance, supplier price and sample test result; S7, cost budget, estimate the cost according to the structure of the hanger and the selection of the material, understand the cost, the cost analysis of step S7 is based on the cost analysis system of big data, and the cost budget analysis control is carried out by using mathematical model and solving algorithm, which specifically includes: Step S71, divide the cost of the hanger into material cost and production cost, and the production cost includes maintenance cost, labor cost and energy cost; Step S72, collect the cost data of the hanger in the past project, market price information and supplier quotation information, integrate the data, and convert them into a format suitable for analysis; Step S73, use the collected data to build a multi-factor correlation analysis mathematical model of hanger material cost, use correlation algorithm to analyze the correlation between hanger material cost and multiple factors, analyze the cost influencing factors and the influence degree; Step S74, use the collected data to build a hanger material cost analysis model based on the coupling of big data mining technology and statistical method, and carry out multi-dimensional analysis of hanger material cost according to material category, specification and supplier; Step S75, formulate construction cost budget according to the hanger material cost information in the model; S8, scheme adjustment, adjust the selection of hanger material according to the structure of cost budget to control cost, step S8 specifically includes: Step S81, find the difference between actual cost and cost budget by using historical cost data and market trend, and determine the factors causing the cost difference; Step S82, evaluate the influence degree of different cost factors on total cost, analyze the distribution of cost difference on different cost components, and determine which part has the greatest influence on total cost; Step S83, optimize the design scheme, communicate with the supplier about the price or use alternative materials with lower cost; Step S84, track the actual cost, and predict the trend of future hanger material cost by using Monte Carlo simulation method; Step S85, carry out sensitivity analysis on the prediction result, sort the sensitivity of cost factors, and adjust the project budget; S9, determine the scheme, determine the scheme according to the final material selection and final drawing; S10, construction, the workers construct the hanger according to the optimized scheme.

2. The method of claim 1, wherein the method further comprises: The step S2 specifically includes: Step S21, plan the preliminary layout of the hanger according to the direction of the pipeline and the building structure, and determine the installation position of the hanger; Step S22, calculate the weight of the pipeline and the fluid therein, including working load and dynamic load; Step S23, according to the weight of the pipeline and the carrying capacity of the hanger, the spacing of the hanger is determined; Step S24, according to the data of steps S21-S23, the preliminary installation scheme of the hanger is determined; Step S25, according to the installation scheme, the hanger components are selected, including hanger rods, cross beams, connecting pieces, pipe clamps and damping elements.

3. The method of claim 2, wherein the method further comprises: The step S3 specifically includes: Step S31, determine the analysis direction, including the carrying capacity of the hanger structure, the stability of the hanger structure and the stress distribution of the hanger; Step S32, based on the hanger layout and components of step S2, the design drawings of the hanger, material properties and load conditions are obtained; Step S33, using finite element software, a model is established according to the drawings of the hanger, and the finite element grid of the model is divided; Step S34, define the properties of the hanger material in the finite element software, set the boundary adjustment of the hanger structure for constraint, and define the load type, and apply the load on the model; Step S35, according to the type of analysis required, select the solver to solve the model; S36, view the results after solving and optimize the structure of the hanger according to the structure.

4. The method of claim 3, wherein the method further comprises: The step S4 specifically includes: Step S41, according to the optimized hanger structure of step S3, the type of hanger connecting node is selected, including bolt connection and welding connection; Step S42, select the size and number of bolts, calculate the pre-tightening force and tensile strength of the bolts, and design the installation method of the bolts; Step S43, select the welding method and welding material, calculate the strength of the welding joint, and design the welding sequence; Step S44, use finite element software to analyze the stress of the design scheme of the connecting node, judge the type of the node, and decide whether to increase the reinforcing structure.

5. The method of claim 4, wherein the method further comprises: The step S9 specifically includes: Step S91, according to the final material selection and drawings, the cost is summarized, the cost is risk evaluated, and the corresponding risk response strategy is formulated; Step S92, submit the scheme to the management for approval, integrate the approval opinions for necessary modification, and review the modified scheme again; Step S93, after all the approval and modification are completed, confirm the final cost budget, design scheme and construction scheme.

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