An intelligent optimization system and method for communication pipeline design based on BIM

Abstract

The present invention discloses an intelligent optimization system and method for communication pipeline design based on BIM, which relates to the field of BIM technology. By constructing an initial data set X, and combining with the electromagnetic field theory to deduce the electromagnetic interference intensity between each pair of pipelines, finally generating an interference intensity matrix EMI, an optimization algorithm is used to dynamically adjust the relative positions of high-interference pipelines, generating a preliminary pipeline layout scheme Xop which is applied to the BIM model and further verified and fine-tuned in combination with spatial constraints Cs. Calculate the pipeline position optimization evaluation index Ft, and compare it with the preset pipeline position optimization execution evaluation threshold Fthe, realizing the scientific evaluation and decision-making of the scheme optimization effect, and specifically solving problems such as insufficient evaluation of electromagnetic interference effects and disconnection between the optimization process and spatial constraints, achieving the minimization of electromagnetic interference in communication pipeline layout, the rationalization of path optimization, and the maximization of spatial resource utilization.

Description

Technical Field

[0001] The present invention relates to the technical field of BIM, and specifically to an intelligent optimization system and method for communication pipeline design based on BIM. Background Art

[0002] Communication technology is an important pillar of modern information society, and one of its cores is the construction and optimization of communication networks. In the construction of communication networks, Building Information Modeling (BIM) technology has gradually demonstrated powerful data integration and visualization capabilities, making it a key tool in communication pipeline design. Specifically, the application of BIM in high-density building scenarios is particularly important, such as data centers or high-rise comprehensive buildings.

[0003] Communication pipelines need to conduct complex wiring design within limited space. Further, due to the dense layout of communication pipelines in these buildings, electromagnetic interference will inevitably occur between various lines. If this interference fails to be reasonably optimized, it will directly threaten the stability of communication signals. In scenarios such as data centers, stable communication signals are crucial for business continuity. Therefore, it is necessary to design an intelligent optimization method for the electromagnetic interference problem of pipelines.

[0004] Currently, in the design process of high-density communication pipeline wiring, traditional methods mainly rely on the experience of designers and limited mathematical analysis tools. These methods are difficult to comprehensively evaluate the complex electromagnetic field coupling relationship between pipelines and cannot quickly generate optimization schemes to reduce interference. Although simulation software or basic optimization algorithms are introduced in some design processes, these tools often cannot be seamlessly integrated with Building Information Modeling (BIM) data directly, resulting in the design results being difficult to comprehensively consider the physical limitations of buildings and the electromagnetic characteristics of pipelines. In addition, the existing analysis methods are less sensitive to environmental parameters, such as materials, electromagnetic shielding capabilities, and pipeline geometric characteristics, greatly reducing the accuracy and practicality of optimization results, and further possibly causing unstable performance of communication systems. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an intelligent optimization system and method for communication pipeline design based on BIM, which solves the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: An intelligent optimization method for communication pipeline design based on BIM, including the following steps:

[0007] S1. Extract relevant data of communication pipelines from the BIM model, including geometric information, material properties, and spatial positions of buildings, equipment, and pipelines, to form an initial data set X;

[0008] S2. By using the electromagnetic field theory to derive the electromagnetic interference intensity between each pair of pipelines from the initial dataset X, calculate the interference intensity between pipelines, and form an interference intensity matrix EMI between several pipelines.

[0009] S3. Evaluate the state influence results between pipelines according to the interference intensity matrix EMI, and use the optimization algorithm formula to adjust the interference between pipelines and to adjust the relative positions between pipelines to obtain a pipeline layout scheme Xopt.

[0010] S4. Adjust the initial positions and initial paths of the pipelines in the BIM model according to the obtained pipeline layout scheme Xopt, and apply it to the BIM model. At the same time, evaluate the correlation between the adjusted pipeline positions and the spatial constraints to obtain a secondary pipeline layout adjustment scheme Xnew.

[0011] S5. Comprehensively evaluate the pipeline positions after implementing the secondary pipeline layout adjustment scheme Xnew, obtain a pipeline position optimization evaluation index Ft, compare it with a preset pipeline position optimization execution evaluation threshold Fthe, and judge the execution status of the secondary pipeline layout adjustment scheme Xnew.

[0012] Preferably, the S1 includes S11 and S12.

[0013] S11. By extracting the geometric information data and spatial position data of communication pipelines from the BIM model, including the geometric information, material attributes, and spatial positions of buildings, equipment, and pipelines, and then obtaining the spatial coordinate data Pi of the i-th pipeline after extraction, specifically representing the three-dimensional coordinate position (xi, yi, zi) of pipeline i, and the relative position Pij with the j-th pipeline, specifically obtained by calculating the spatial distance dij between pipeline i and pipeline j.

[0014] Then extract the spatial constraint Cs defined by the periphery of the pipeline, specifically obtained by extracting the spatial ranges of buildings and equipment in the BIM model.

[0015] Among them, the spatial distance dij is obtained through the following calculation formula:

[0016] ;

[0017] In the formula, xi and xj respectively represent the horizontal axis coordinates of pipeline i and pipeline j, yi and yj respectively represent the vertical axis coordinates of pipeline i and pipeline j, and zi and zj respectively represent the longitudinal axis coordinates of pipeline i and pipeline j.

[0018] Preferably, in S12, by extracting the material properties of each pipeline in the BIM model, the electromagnetic shielding coefficient Ai of the i-th pipeline is obtained, the propagation characteristics of each pipeline are analyzed, and the shielding effect of pipelines of different materials on electromagnetic interference is analyzed, and it is integrated with the spatial coordinate data Pi, the relative position Pij, and the spatial constraint Cs to form the initial data set X.

[0019] Preferably, the S2 includes S21 and S22;

[0020] In S21, by using the electromagnetic field theory, including Maxwell's equations, for the initial data set X, the correlation between the relative position Pij and the electromagnetic shielding coefficient Ai between each pair of pipelines is analyzed, and after derivation and calculation, the electromagnetic interference intensity EMIij between pipeline i and pipeline j is obtained;

[0021] The electromagnetic interference intensity EMIij is obtained through the following calculation formula:

[0022] ;

[0023] In the formula, k represents the electromagnetic interference constant, Pij represents the relative position between pipeline i and pipeline j, Ai and Aj respectively represent the electromagnetic shielding coefficients of pipeline i and pipeline j, and Amax represents the upper limit value of the electromagnetic shielding coefficient.

[0024] Preferably, in S22, by marking all non-repeated pipelines in the BIM model, the total number n of pipelines is obtained, each pipeline within the total number n is traversed to form paired pipelines, and the interference intensity between each pair of pipelines is calculated. Specifically, for each pair of pipelines i and j, after obtaining the electromagnetic interference intensity EMIij, it is synchronously filled into the interference intensity matrix EMI to construct the interference intensity matrix EMI of all pipelines, and pipeline i ≠ pipeline j.

[0025] Preferably, the S3 includes S31 and S32;

[0026] The S31 includes S311, S312, and S313;

[0027] In S311, all non-diagonal electromagnetic interference intensities EMIij in the interference intensity matrix EMI are sorted, the electromagnetic interference intensities EMIij greater than the preset screening interference intensity threshold EMIthe are screened out and integrated to obtain the set S of high-interference pipeline pairs that need to be optimized;

[0028] In S312, the electromagnetic interference intensity EMIij of each pair of pipelines (i, j) in the set S of high-interference pipeline pairs that need to be optimized is optimized, including adjusting the relative position Pij until the electromagnetic interference intensity EMIij is less than the preset screening interference intensity threshold EMIthe;

[0029] S313. Verify the adjusted relative position Pij simultaneously, so that the adjusted relative position Pij is within the boundary of the spatial constraint Cs;

[0030] S32. Dynamically adjust the relative position Pij of each pair of pipelines (i, j) in the set S of high-interference pipelines as needed, adjust the interference intensity, and generate an optimized new layout plan Xopt, including using the simulated annealing algorithm to adjust the electromagnetic interference intensity EMIij, obtaining the new relative position PNij of the adjusted pipeline pair and the adjustment amount △Pij;

[0031] The new relative position PNij is obtained through the following calculation formula:

[0032] ;

[0033] In the formula, △Pij represents the adjustment amount, which is specifically obtained by dynamically calculating through the simulated annealing algorithm;

[0034] The adjustment amount △Pij is obtained through the following calculation formula:

[0035] ;

[0036] In the formula, △Pij represents the adjustment amount of the relative position between pipeline i and pipeline j, L represents the adjustment step factor, which is specifically a proportional factor for controlling the adjustment amplitude, and the value range is specifically 0 < L < 1, ▽EMIij represents the gradient direction of the interference intensity, which specifically represents the change direction of the interference intensity relative to the position, and is the direction that needs to be adjusted to reduce interference, V represents the perturbation coefficient, and R represents the random perturbation direction;

[0037] The gradient direction ▽EMIij is obtained through the following calculation formula:

[0038] ;

[0039] In the formula, dij represents the spatial distance between pipeline i and pipeline j, Pij represents the relative position between the spatial coordinate data Pi of pipeline i and the spatial coordinate data Pj of pipeline j, represents the partial derivative symbol.

[0040] Preferably, the S4 includes S41 and S42;

[0041] S41. According to the new relative position PNij in the pipeline layout scheme Xopt obtained, adjust the spatial coordinate data Pi of the initial pipeline position and the initial path in the BIM model to form a new layout mapping, and apply it to the BIM model to update the geometric position and path of the pipeline. At the same time, evaluate the correlation between the adjusted pipeline position and the spatial constraints to obtain the secondary regulation scheme Xnew for the pipeline layout, including obtaining the execution position Pfinal that meets the spatial constraint Cs after adjusting the spatial coordinate data Pi according to the new relative position PNij.

[0042] Preferably, S42. Among them, evaluating the correlation between the adjusted pipeline position and the spatial constraints specifically evaluates the correlation between the new relative position PNij and the spatial constraint Cs, including the boundary conditions that the new relative position PNij meets the spatial constraint Cs.

[0043] The execution position Pfinal is obtained through the following calculation formula:

[0044] ;

[0045] In the formula, when the new relative position PNij meets the spatial constraint Cs condition, it is directly used as the execution position Pfinal. When the new relative position PNij does not meet the spatial constraint Cs condition, the adjustment amount △Pij needs to be continuously adjusted until the spatial constraint Cs condition is met. Then, the result of the adjustment amount △Pij and the new relative position PNij is used as the execution position Pfinal.

[0046] Preferably, the said S5 includes S51 and S52;

[0047] S51. Comprehensively evaluate the pipeline position after implementing the secondary regulation scheme Xnew for the pipeline layout to obtain the pipeline position optimization evaluation index Ft;

[0048] The pipeline position optimization evaluation index Ft is obtained through the following calculation formula:

[0049] ;

[0050] Wherein, Pinal(i, j) represents the execution positions of the adjusted pipelines i and j, △L(i, j) represents the change in the path length of the adjusted pipelines i and j, S(i, j) represents the satisfaction status of the execution positions of the adjusted pipelines i and j with the spatial constraint Cs. When satisfied, S(i, j) is 1; otherwise, S(i, j) is 0. f1, f2, and f3 respectively represent the preset weight values of the execution positions Pinal(i, j) of the adjusted pipelines i and j, the change in the path length △L(i, j) of the adjusted pipelines i and j, and the satisfaction status S(i, j) of the execution positions of the adjusted pipelines i and j with the spatial constraint Cs, and f1 + f2 + f3 = 1. The specific values are set by the user;

[0051] S52. Compare the pipeline position optimization evaluation index Ft with the preset pipeline position optimization execution evaluation threshold Fthe to determine the execution status of the pipeline layout secondary regulation scheme Xnew, and obtain the optimization effect trigger result;

[0052] The optimization effect trigger result is obtained through the following comparison method:

[0053] When the pipeline position optimization evaluation index Ft ≥ the pipeline layout secondary regulation scheme Xnew, obtain the unqualified evaluation result of the optimization effect, and trigger the continuous iterative optimization mechanism, including iterative optimization to obtain the electromagnetic interference intensity EMIij, the new relative position PNij, and the adjustment amount △Pij;

[0054] When the pipeline position optimization evaluation index Ft < the pipeline layout secondary regulation scheme Xnew, obtain the qualified evaluation result of the optimization effect, stop the iterative optimization mechanism, and implement the layout of the execution position Pfinal.

[0055] An intelligent optimization system for communication pipeline design based on BIM includes a geometric data extraction module, an interference analysis module, a pipeline adjustment module, a pipeline secondary analysis module, and an evaluation iteration module;

[0056] The geometric data extraction module extracts communication pipeline-related data from the BIM model, including the geometric information, material properties, and spatial positions of buildings, equipment, and pipelines, to form the initial data set X;

[0057] The interference analysis module uses the electromagnetic field theory to deduce the electromagnetic interference intensity between each pair of pipelines from the initial data set X, calculates the interference intensity between pipelines, and forms a plurality of interference intensity matrices EMI between pipelines;

[0058] The pipeline adjustment module evaluates the state influence results between pipelines according to the interference intensity matrix EMI, uses the optimization algorithm formula to adjust the interference between pipelines, and is used to adjust the relative positions between pipelines to obtain the pipeline layout scheme Xopt;

[0059] The pipeline secondary analysis module adjusts the initial positions and initial paths of the pipelines in the BIM model according to the obtained pipeline layout scheme Xopt, applies it to the BIM model, and simultaneously evaluates the correlation between the adjusted pipeline positions and the space constraints to obtain the pipeline layout secondary regulation scheme Xnew;

[0060] The evaluation and iteration module comprehensively evaluates the pipeline positions after executing the pipeline layout secondary regulation scheme Xnew, obtains the pipeline position optimization evaluation index Ft, compares it with the preset pipeline position optimization execution evaluation threshold Fthe, and judges the execution status of the pipeline layout secondary regulation scheme Xnew.

[0061] The present invention provides an intelligent optimization system and method for communication pipeline design based on BIM, having the following beneficial effects:

[0062] (1) By constructing the initial data set X, combining the electromagnetic field theory to deduce the electromagnetic interference intensity between each pair of pipelines, and finally generating the interference intensity matrix EMI, using the optimization algorithm to dynamically adjust the relative positions of the high-interference pipelines, generating the preliminary pipeline layout scheme Xop and applying it to the BIM model and further verifying and fine-tuning it in combination with the space constraint Cs, calculating the pipeline position optimization evaluation index Ft, and comparing it with the preset pipeline position optimization execution evaluation threshold Fthe, the scientific evaluation and decision-making of the scheme optimization effect are realized, and the problems such as insufficient evaluation of electromagnetic interference influence and disconnection between the optimization process and space constraints are specifically solved, effectively improving the intelligence and controllability of the communication pipeline design optimization process. Finally, this method realizes the minimization of electromagnetic interference in the communication pipeline layout, the rationalization of path optimization, and the maximization of space resource utilization, providing a scientific and efficient solution for the communication pipeline design in high-density wiring scenarios such as data centers and intelligent buildings.

[0063] (2) By analyzing the correlation between the relative position Pij of pipelines and the electromagnetic shielding coefficient Ai, the electromagnetic interference intensity EMIij between pipeline i and pipeline j was accurately deduced, and an interference intensity matrix EMI was constructed, thus comprehensively quantifying the interference relationship between all pipelines and overcoming the problem of insufficient ability to analyze complex electromagnetic interference coupling in traditional methods. Further, based on the interference intensity matrix EMI, the interference intensity was dynamically adjusted and a new optimized layout scheme Xopt was generated. It can quickly guide the pipeline layout to optimize in the direction of minimizing the interference intensity. By verifying whether the adjusted relative position Pij meets the spatial constraint Cs, it is ensured that the optimized scheme is not only optimal in theory but also feasible in actual engineering.

[0064] (3) Through the adjustment of the spatial coordinate data Pi of the new relative position PNij and the verification of the correlation with the spatial constraint Cs, the execution position Pfinal that meets the actual spatial limitations was generated and applied to update the pipeline geometric position and path in the BIM model, and finally a secondary regulation scheme Xnew for the pipeline layout was formed. The quantitative evaluation and scientific decision-making of the optimization effect were realized. And an iterative trigger mechanism for dynamic adjustment and optimization was provided. When the optimization effect does not meet the standard, iterative optimization is triggered to re-obtain the electromagnetic interference intensity EMIij, the new relative position PNij and the adjustment amount ΔPij for further optimization; when the evaluation result is qualified, the optimization is stopped and the final layout scheme is directly implemented. Compared with the traditional method, through the closed-loop feedback optimization evaluation mechanism, this method not only ensures the scientificity and rigor of the layout optimization, but also effectively avoids the uncertainty of the optimization scheme, ensuring the efficiency, executability and dynamic response ability of the final layout scheme. Brief Description of the Drawings

[0065] Figure 1 It is a schematic diagram of the steps of an intelligent optimization method for communication pipeline design based on BIM according to the present invention;

[0066] Figure 2 It is a schematic block diagram of an intelligent optimization system for communication pipeline design based on BIM according to the present invention. Detailed Embodiments

[0067] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0068] Embodiment 1

[0069] The present invention provides an intelligent optimization method for communication pipeline design based on BIM. Please refer toFigure 1 , including the following steps:

[0070] S1. Extract data related to communication pipelines from the BIM model, including geometric information, material properties, and spatial locations of buildings, equipment, and pipelines, to form an initial dataset X;

[0071] S2. Derive the electromagnetic interference intensity between each pair of pipelines by using the electromagnetic field theory for the initial dataset X, calculate the interference intensity between pipelines, and form an interference intensity matrix EMI of several pipelines;

[0072] S3. Evaluate the state influence results between pipelines according to the interference intensity matrix EMI, use the optimization algorithm formula to adjust the interference between pipelines, and adjust the relative positions between pipelines to obtain a pipeline layout scheme Xopt;

[0073] S4. Adjust the initial positions and initial paths of the pipelines in the BIM model according to the obtained pipeline layout scheme Xopt, apply it to the BIM model, and at the same time evaluate the correlation between the adjusted pipeline positions and spatial constraints to obtain a secondary pipeline layout regulation scheme Xnew;

[0074] S5. Comprehensively evaluate the pipeline positions after implementing the secondary pipeline layout regulation scheme Xnew, obtain a pipeline position optimization evaluation index Ft, compare it with a preset pipeline position optimization execution evaluation threshold Fthe, and judge the execution status of the secondary pipeline layout regulation scheme Xnew.

[0075] In this embodiment, geometric information, material properties, and spatial locations of buildings, equipment, and communication pipelines are comprehensively extracted to construct an initial dataset X, and the electromagnetic interference intensity between each pair of pipelines is derived by combining the electromagnetic field theory. Finally, an interference intensity matrix EMI is generated. The relative positions of high-interference pipelines are dynamically adjusted by using an optimization algorithm to generate a preliminary pipeline layout scheme Xop, which is applied to the BIM model and further verified and fine-tuned in combination with spatial constraints Cs to form a secondary pipeline layout regulation scheme Xnew. By comprehensively evaluating the interference intensity, cable path adjustment amount, and spatial constraint satisfaction, a pipeline position optimization evaluation index Ft is calculated and compared with a preset pipeline position optimization execution evaluation threshold Fthe, realizing scientific evaluation and decision-making on the optimization effect of the scheme, and specifically solving problems such as insufficient evaluation of electromagnetic interference effects and disconnection between the optimization process and spatial constraints, effectively improving the intelligence and controllability of the communication pipeline design optimization process. Finally, this method realizes the minimization of electromagnetic interference in the communication pipeline layout, the rationalization of path optimization, and the maximization of spatial resource utilization, providing a scientific and efficient solution for the communication pipeline design in high-density wiring scenarios such as data centers and intelligent buildings.

[0076] Embodiment 2

[0077] This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 , specifically: S1 includes S11 and S12;

[0078] S11: By extracting the geometric information data and spatial position data of communication pipelines from the BIM model, including the geometric information, material properties, and spatial positions of buildings, equipment, and pipelines, and then obtaining the spatial coordinate data Pi of the i-th pipeline after extraction, specifically representing the three-dimensional coordinate position (xi, yi, zi) of pipeline i, and the relative position Pij between the i-th pipeline and the j-th pipeline, which is specifically obtained by calculating the spatial distance dij between pipeline i and pipeline j;

[0079] Then, extract the spatial constraint Cs defined by the periphery of the pipeline, which is specifically obtained by extracting the spatial ranges of buildings and equipment in the BIM model;

[0080] Among them, the spatial distance dij is obtained through the following calculation formula:

[0081] ;

[0082] In the formula, xi and xj respectively represent the horizontal axis coordinates of pipeline i and pipeline j, yi and yj respectively represent the vertical axis coordinates of pipeline i and pipeline j, and zi and zj respectively represent the longitudinal axis coordinates of pipeline i and pipeline j.

[0083] S12: By extracting the material properties of each pipeline in the BIM model, obtain the electromagnetic shielding coefficient Ai of the i-th pipeline, analyze the propagation characteristics of each pipeline, and analyze the shielding effect of pipelines with different materials on electromagnetic interference, and integrate them with the spatial coordinate data Pi, relative position Pij, and spatial constraint Cs to form the initial data set X.

[0084] Embodiment 3

[0085] This embodiment is an explanatory description based on Embodiment 2. Please refer to Figure 1 , specifically: S2 includes S21 and S22;

[0086] S21: By using electromagnetic field theory, including Maxwell's equations, for the initial data set X, analyze the correlation between the relative position Pij and the electromagnetic shielding coefficient Ai between each pair of pipelines, and obtain the electromagnetic interference intensity EMIij between pipeline i and pipeline j after derivation and calculation;

[0087] The electromagnetic interference intensity EMIij is obtained through the following calculation formula:

[0088] ;

[0089] Wherein, k represents the electromagnetic interference constant, which is specifically set by the user according to the material and medium characteristics; Pij represents the relative position between pipeline i and pipeline j; Ai and Aj respectively represent the electromagnetic shielding coefficients of pipeline i and pipeline j; Amax represents the upper limit value of the electromagnetic shielding coefficient, which is specifically obtained by statistically calculating the maximum value in the material properties of a number of pipelines and normalizing the interference intensity.

[0090] S22. Mark all non-repeating pipelines in the BIM model to obtain the total number n of pipelines. Traverse each pipeline within the total number n to form paired pipelines, and calculate the interference intensity between each pair of pipelines. Specifically, for each pair of pipelines i and j, after obtaining the electromagnetic interference intensity EMIij, synchronously fill it into the interference intensity matrix EMI to construct the interference intensity matrix EMI of all pipelines, and pipeline i ≠ pipeline j.

[0091] The interference intensity matrix EMI is specifically: 。

[0092] S3 includes S31 and S32;

[0093] S31 includes S311, S312 and S313;

[0094] S311. Sort all non-diagonal electromagnetic interference intensities EMIij in the interference intensity matrix EMI, screen out the electromagnetic interference intensities EMIij greater than the preset screening interference intensity threshold EMIthe, and integrate them to obtain the set S of high-interference pipeline pairs that need to be optimized.

[0095] S312. Optimize the electromagnetic interference intensity EMIij of each pair of pipelines (i, j) in the set S of high-interference pipeline pairs that need to be optimized, including adjusting the relative position Pij until the electromagnetic interference intensity EMIij is less than the preset screening interference intensity threshold EMIthe.

[0096] S313. At the same time, verify the adjusted relative position Pij to make the adjusted relative position Pij within the boundary of the spatial constraint Cs.

[0097] S32. Dynamically adjust the relative position Pij of each pair of pipelines (i, j) according to the set S of high-interference pipeline pairs that need to be optimized, adjust the interference intensity and generate an optimized new layout plan Xopt, including using the simulated annealing algorithm to adjust the electromagnetic interference intensity EMIij to obtain the new relative position PNij and the adjustment amount △Pij of the adjusted pipeline pair.

[0098] The new relative position PNij is obtained through the following calculation formula:

[0099] ;

[0100] In the formula, △Pij represents the adjustment amount, which is specifically obtained by dynamically calculating through the simulated annealing algorithm;

[0101] The adjustment amount △Pij is obtained through the following calculation formula:

[0102] ;

[0103] In the formula, △Pij represents the adjustment amount of the relative position between pipeline i and pipeline j, L represents the adjustment step factor, which is specifically a proportional factor for controlling the adjustment amplitude, and the value range is specifically 0 < L < 1, ▽EMIij represents the gradient direction of the interference intensity, which specifically represents the change direction of the interference intensity relative to the position, and is the direction that needs to be adjusted to reduce interference, V represents the perturbation coefficient, and R represents the random perturbation direction;

[0104] The gradient direction ▽EMIij is obtained through the following calculation formula:

[0105] ;

[0106] In the formula, dij represents the spatial distance between pipeline i and pipeline j, Pij represents the relative position between the spatial coordinate data Pi of pipeline i and the spatial coordinate data Pj of pipeline j, represents the partial derivative symbol.

[0107] In this embodiment, the correlation between the relative position Pij between pipelines and the electromagnetic shielding coefficient Ai is analyzed through Maxwell's equations in electromagnetic field theory, the electromagnetic interference intensity EMIij between pipeline i and pipeline j is accurately deduced, and an interference intensity matrix EMI is constructed, thereby comprehensively quantifying the interference relationship between all pipelines, overcoming the problem of insufficient ability to analyze complex electromagnetic interference coupling in traditional methods. Further, based on the interference intensity matrix EMI, by screening and optimizing the set S of high-interference pipeline pairs that need to be optimized, and calculating the adjustment amount ΔPij and generating a new relative position PNij through the simulated annealing algorithm, the dynamic adjustment of the interference intensity and the generation of an optimized new layout plan Xopt are realized. This dynamic adjustment method based on the interference intensity gradient direction ∇EMIij can quickly guide the pipeline layout to optimize in the direction of minimizing the interference intensity, thereby solving the problems of inflexible adjustment process and inaccurate optimization results in traditional methods. In addition, by verifying whether the adjusted relative position Pij satisfies the spatial constraint Cs, it is ensured that the optimization plan is not only optimal in theory but also feasible in actual engineering. This method significantly improves the analysis accuracy, adjustment efficiency, and overall system stability in the process of optimizing the communication pipeline layout, and is particularly suitable for the actual needs of optimizing complex pipeline interference in high-density wiring scenarios.

[0108] Example 4

[0109] This example is an explanatory note based on Example 3. Please refer to Figure 1 , specifically: S4 includes S41 and S42;

[0110] S41. According to the new relative position PNij in the pipeline layout scheme Xopt obtained, adjust the spatial coordinate data Pi of the initial pipeline position and initial path in the BIM model to form a new layout mapping, and apply it to the BIM model to update the geometric position and path of the pipeline. At the same time, evaluate the correlation between the adjusted pipeline position and spatial constraints, and obtain the secondary regulation scheme Xnew for pipeline layout, including obtaining the execution position Pfinal that meets the spatial constraint Cs after adjusting the spatial coordinate data Pi according to the new relative position PNij.

[0111] S42. Among them, evaluating the correlation between the adjusted pipeline position and spatial constraints specifically evaluates the correlation between the new relative position PNij and the spatial constraint Cs, including the boundary conditions that the new relative position PNij meets the spatial constraint Cs;

[0112] The execution position Pfinal is obtained through the following calculation formula:

[0113] ;

[0114] In the formula, when the new relative position PNij meets the spatial constraint Cs condition, it is directly used as the execution position Pfinal. When the new relative position PNij does not meet the spatial constraint Cs condition, the adjustment amount △Pij needs to be continuously adjusted until the spatial constraint Cs condition is met. Then, the result of the adjustment amount △Pij and the new relative position PNij is used as the execution position Pfinal.

[0115] S5 includes S51 and S52;

[0116] S51. Comprehensively evaluate the pipeline position after implementing the secondary regulation scheme Xnew for pipeline layout, and obtain the pipeline position optimization evaluation index Ft;

[0117] The pipeline position optimization evaluation index Ft is obtained through the following calculation formula:

[0118] ;

[0119] Wherein, Pinal(i, j) represents the execution positions of pipelines i and j after adjustment, △L(i, j) represents the change in the path length of pipelines i and j after adjustment, S(i, j) represents the satisfaction status of the execution positions of pipelines i and j after adjustment with the spatial constraint Cs. When satisfied, S(i, j) is 1; otherwise, S(i, j) is 0. f1, f2, and f3 respectively represent the preset weight values of the execution position Pinal(i, j) of pipelines i and j after adjustment, the change in the path length △L(i, j) of pipelines i and j after adjustment, and the satisfaction status S(i, j) of the execution positions of pipelines i and j after adjustment with the spatial constraint Cs, and f1 + f2 + f3 = 1. The specific values are set by the user;

[0120] S52. Compare the pipeline position optimization evaluation index Ft with the preset pipeline position optimization execution evaluation threshold Fthe to determine the execution status of the pipeline layout secondary regulation scheme Xnew and obtain the optimization effect trigger result;

[0121] The optimization effect trigger result is obtained through the following comparison method:

[0122] When the pipeline position optimization evaluation index Ft ≥ the pipeline layout secondary regulation scheme Xnew, obtain the unqualified evaluation result of the optimization effect and trigger the continuous iterative optimization mechanism, including iterative optimization to obtain the electromagnetic interference intensity EMIij, the new relative position PNij, and the adjustment amount △Pij;

[0123] When the pipeline position optimization evaluation index Ft < the pipeline layout secondary regulation scheme Xnew, obtain the qualified evaluation result of the optimization effect, stop the iterative optimization mechanism, and implement the layout of the execution position Pfinal.

[0124] In this embodiment, through the adjustment of the spatial coordinate data Pi of the new relative position PNij and the verification of the correlation relationship of the spatial constraint Cs, the execution position Pfinal that meets the actual spatial constraints is generated and applied to update the pipeline geometric positions and paths in the BIM model, and finally the pipeline layout secondary regulation scheme Xnew is formed. The quantitative evaluation of the optimization effect and the scientific decision-making are realized. And an iterative trigger mechanism for dynamic adjustment and optimization is provided. When the optimization effect does not meet the standard, iterative optimization is triggered to re-obtain the electromagnetic interference intensity EMIij, the new relative position PNij, and the adjustment amount ΔPij for further optimization; when the evaluation result is qualified, the optimization is stopped and the final layout scheme is directly implemented. Compared with the traditional method, through the closed-loop feedback optimization evaluation mechanism, this method not only ensures the scientificity and rigor of the layout optimization, but also effectively avoids the uncertainty of the optimization scheme, ensuring the efficiency, executability, and dynamic response ability of the final layout scheme, and providing an intelligent solution for the efficient design in the complex environment of communication pipelines.

[0125] Example 5

[0126] An intelligent optimization system for communication pipeline design based on BIM, please refer to Figure 2 , specifically: including a geometric data extraction module, an interference analysis module, a pipeline adjustment module, a pipeline secondary analysis module, and an evaluation and iteration module;

[0127] The geometric data extraction module extracts communication pipeline-related data from the BIM model, including geometric information, material properties, and spatial positions of buildings, equipment, and pipelines, to form an initial data set X;

[0128] The interference analysis module uses electromagnetic field theory to deduce the electromagnetic interference intensity between each pair of pipelines from the initial data set X, calculates the interference intensity between pipelines, and forms an interference intensity matrix EMI between several pipelines;

[0129] The pipeline adjustment module evaluates the state influence results between pipelines according to the interference intensity matrix EMI, uses an optimization algorithm formula to adjust the interference between pipelines, and is used to adjust the relative positions between pipelines to obtain a pipeline layout scheme Xopt;

[0130] The pipeline secondary analysis module adjusts the initial position and initial path of the pipeline in the BIM model according to the obtained pipeline layout scheme Xopt, applies it to the BIM model, and simultaneously evaluates the correlation between the adjusted pipeline position and spatial constraints to obtain a pipeline layout secondary regulation scheme Xnew;

[0131] The evaluation and iteration module comprehensively evaluates the pipeline position after executing the pipeline layout secondary regulation scheme Xnew, obtains a pipeline position optimization evaluation index Ft, compares it with a preset pipeline position optimization execution evaluation threshold Fthe, and judges the execution status of the pipeline layout secondary regulation scheme Xnew.

[0132] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A BIM-based communication pipeline design intelligent optimization method, characterized by: The following steps are involved: S1, by extracting communication pipeline related data from the BIM model, including geometric information, material properties and spatial location of buildings, equipment and pipelines, to form an initial data set X; S2, using electromagnetic field theory to derive the electromagnetic interference intensity between each pair of pipelines on the initial data set X, calculate the interference intensity between the pipelines, and form an interference intensity matrix EMI between several pipelines; S3, evaluating the state impact results between pipelines according to the interference intensity matrix EMI, and using the optimization algorithm formula to adjust the interference between pipelines and the relative positions between pipelines to obtain the pipeline layout solution Xopt; S4. According to the obtained pipeline layout plan Xopt, the initial position and initial path of the pipeline are adjusted in the BIM model and applied to the BIM model. At the same time, the correlation between the adjusted pipeline position and the space restriction is evaluated to obtain the secondary control plan Xnew of the pipeline layout; S5. Comprehensively evaluate the pipeline position after executing the pipeline layout secondary control plan Xnew, obtain the pipeline position optimization evaluation index Ft, compare it with the preset pipeline position optimization execution evaluation threshold Fthe, and judge the execution status of the pipeline layout secondary control plan Xnew.

2. According to the BIM-based communication pipeline design intelligent optimization method according to claim 1, it is characterized by: Said S1 includes S11 and S12; S11, extracting geometric information data and spatial position data of the communication pipeline from the BIM model, including geometric information, material properties and spatial position of buildings, equipment and pipelines, and then extracting and obtaining spatial coordinate data Pi of the i-th pipeline, specifically indicating the three-dimensional coordinate position (xi, yi, zi) of pipeline i, and the relative position Pij between pipeline i and pipeline j, which is obtained by calculating the spatial distance dij between pipeline i and pipeline j; Then extract the spatial constraints Cs defined by the periphery of the pipeline, specifically by extracting the spatial range of buildings and equipment in the BIM model; Among them, the spatial distance dij is obtained by the following calculation formula: ； Wherein, xi and xj represent the horizontal axis coordinates of pipeline i and pipeline j respectively, yi and yj represent the vertical axis coordinates of pipeline i and pipeline j respectively, and zi and zj represent the longitudinal axis coordinates of pipeline i and pipeline j respectively.

3. According to the BIM-based communication pipeline design intelligent optimization method according to claim 2, it is characterized by: S12. By extracting the material properties of each pipeline in the BIM model, the electromagnetic shielding coefficient Ai of the i-th pipeline is obtained, the propagation characteristics of each pipeline are analyzed, and the shielding effect of pipelines of different materials on electromagnetic interference is analyzed, and then integrated with the spatial coordinate data Pi, relative position Pij and spatial constraint Cs to form the initial data set X.

4. The BIM-based communication pipeline design intelligent optimization method according to claim 3 is characterized by: The S2 includes S21 and S22; S21, using electromagnetic field theory, including Maxwell equations, to analyze the correlation between the relative position Pij and the electromagnetic shielding coefficient Ai between each pair of pipelines, and obtaining the electromagnetic interference intensity EMIij of pipelines i and j after derivation and calculation; The electromagnetic interference intensity EMIij is obtained by the following calculation formula: ； Wherein, k represents the electromagnetic interference constant, Pij represents the relative position between pipeline i and pipeline j, Ai and Aj represent the electromagnetic shielding coefficients of pipeline i and pipeline j respectively, and Amax represents the upper limit of the electromagnetic shielding coefficient.

5. The BIM-based communication pipeline design intelligent optimization method according to claim 4 is characterized by: S22. By marking all non-repetitive pipelines in the BIM model, the total number n of pipelines is obtained, each pipeline in the total number n is traversed to form pairs of pipelines, and the interference intensity between each pair of pipelines is calculated. Specifically, after the electromagnetic interference intensity EMIij is obtained by calculating each pair of pipelines i and pipeline j, it is synchronously filled into the interference intensity matrix EMI to construct the interference intensity matrix EMI of all pipelines, and pipeline i≠pipeline j.

6. The BIM-based communication pipeline design intelligent optimization method according to claim 5 is characterized by: The S3 includes S31 and S32; The S31 includes S311, S312 and S313; S311, sorting the electromagnetic interference intensities EMIij of all non-diagonal lines of the interference intensity matrix EMI, screening out the electromagnetic interference intensities EMIij that are greater than a preset screening interference intensity threshold EMIthe, and integrating them to obtain a set S of high-interference pipeline pairs that need to be optimized; S312, optimizing the electromagnetic interference intensity EMIij of each pair of pipelines (i, j) in the set S of high-interference pipeline pairs that need to be optimized, including adjusting the relative position Pij until the electromagnetic interference intensity EMIij is less than a preset screening interference intensity threshold EMIthe; S313, verifying the adjusted relative position Pij at the same time, so that the adjusted relative position Pij is within the boundary of the spatial constraint Cs; S32, optimizing the high-interference pipeline pair set S as needed to dynamically adjust the relative position Pij of each pair of pipelines (i, j), adjust the interference intensity and generate an optimized new layout scheme Xopt, including using a simulated annealing algorithm to adjust the electromagnetic interference intensity EMIij, and obtain the adjusted new relative position PNij and adjustment amount △Pij of the pipeline pair; The new relative position PNij is obtained by the following calculation formula: ； In the formula, △Pij represents the adjustment amount, which is obtained by dynamic calculation through simulated annealing algorithm; The adjustment amount ΔPij is obtained by the following calculation formula: ； Wherein, △Pij represents the adjustment amount of the relative position of pipeline i and pipeline j, L represents the adjustment step factor, which is specifically used to control the proportional factor of the adjustment amplitude, and the value range is specifically 0<L<1, ▽EMIij represents the gradient direction of the interference intensity, which specifically represents the direction of change of the interference intensity relative to the position, and the direction that needs to be adjusted to reduce the interference, V represents the disturbance coefficient, and R represents the random disturbance direction; The gradient direction ▽EMIij is obtained by the following calculation formula: ； Wherein, dij represents the spatial distance between pipeline i and pipeline j, Pij represents the relative position between the spatial coordinate data Pi of pipeline i and the spatial coordinate data Pj of pipeline j, Represents the symbol of partial derivative.

7. The BIM-based communication pipeline design intelligent optimization method according to claim 6 is characterized by: The S4 includes S41 and S42; S41. According to the new relative position PNij in the obtained pipeline layout plan Xopt, the spatial coordinate data Pi of the initial position and initial path of the pipeline is adjusted in the BIM model to form a new layout mapping, and applied to the BIM model to update the geometric position and path of the pipeline. At the same time, the correlation between the adjusted pipeline position and the spatial restriction is evaluated to obtain the secondary control plan Xnew of the pipeline layout, including adjusting the spatial coordinate data Pi according to the new relative position PNij to obtain the execution position Pfinal that meets the spatial constraint Cs.

8. The BIM-based communication pipeline design intelligent optimization method according to claim 7 is characterized by: S42, wherein simultaneously evaluating the correlation between the adjusted pipeline position and the spatial constraint is specifically by evaluating the correlation between the new relative position PNij and the spatial constraint Cs, including whether the new relative position PNij satisfies the boundary condition of the spatial constraint Cs; The execution position Pfinal is obtained by the following calculation formula: ； In the formula, when the new relative position PNij satisfies the spatial constraint Cs condition, it is directly used as the execution position Pfinal. When the new relative position PNij does not satisfy the spatial constraint Cs condition, it is necessary to continue to adjust the adjustment amount △Pij until the spatial constraint Cs condition is met, and the result of the adjustment amount △Pij and the new relative position PNij is used as the execution position Pfinal.

9. The BIM-based communication pipeline design intelligent optimization method according to claim 8, characterized in that: The S5 includes S51 and S52; S51, comprehensively evaluate the pipeline position after executing the secondary control plan Xnew of the pipeline layout, and obtain the pipeline position optimization evaluation index Ft; The pipeline location optimization evaluation index Ft is obtained by the following calculation formula: ； In the formula, Pinal(i, j) represents the adjusted execution position of pipelines i and j, △L(i, j) represents the adjusted path length change of pipelines i and j, S(i, j) represents the satisfaction status of the execution position of pipelines i and j and the spatial constraint Cs after adjustment, when S(i, j) is 1, otherwise S(i, j) is 0, f1, f2 and f3 represent the preset weight values ​​of the execution position Pinal(i, j) of the adjusted pipelines i and j, the path length change △L(i, j) of the adjusted pipelines i and j and the satisfaction status S(i, j) of the execution position of the adjusted pipelines i and j and the spatial constraint Cs, respectively, and f1+f2+f3=1, and the specific value is set by the user; S52, comparing the pipeline position optimization evaluation index Ft with the preset pipeline position optimization execution evaluation threshold Fthe, determining the execution status of the pipeline layout secondary control scheme Xnew, and obtaining the optimization effect trigger result; The optimization effect triggering result is obtained by the following comparison method: When the pipeline position optimization evaluation index Ft ≥ pipeline layout secondary control plan Xnew, obtain the unqualified evaluation result of the optimization effect, and trigger the continuous iterative optimization mechanism, including iterative optimization to obtain the electromagnetic interference intensity EMIij, the new relative position PNij and the adjustment amount △Pij; When the pipeline position optimization evaluation index Ft is less than the pipeline layout secondary control plan Xnew, the qualified evaluation result of the optimization effect is obtained, the iterative optimization mechanism is stopped, and the layout of the execution position Pfinal is implemented.

10. A BIM-based communication pipeline design intelligent optimization system, applied to a BIM-based communication pipeline design intelligent optimization method according to any one of claims 1 to 9, characterized in that: It includes geometric data extraction module, interference analysis module, pipeline adjustment module, pipeline secondary analysis module and evaluation iteration module; The geometric data extraction module extracts communication pipeline related data from the BIM model, including geometric information, material properties and spatial positions of buildings, equipment and pipelines, to form an initial data set X; The interference analysis module uses electromagnetic field theory to derive the electromagnetic interference intensity between each pair of pipelines by using the initial data set X, calculates the interference intensity between pipelines, and forms an interference intensity matrix EMI between several pipelines; The pipeline adjustment module evaluates the state impact results between pipelines according to the interference intensity matrix EMI, and uses the optimization algorithm formula to adjust the interference between pipelines and the relative positions between pipelines to obtain the pipeline layout solution Xopt; The pipeline secondary analysis module adjusts the initial position and initial path of the pipeline in the BIM model according to the obtained pipeline layout plan Xopt, applies it to the BIM model, and evaluates the correlation between the adjusted pipeline position and the space restriction to obtain the pipeline layout secondary control plan Xnew; The evaluation iteration module comprehensively evaluates the pipeline position after executing the pipeline layout secondary control scheme Xnew, obtains the pipeline position optimization evaluation index Ft, compares it with the preset pipeline position optimization execution evaluation threshold Fthe, and determines the execution status of the pipeline layout secondary control scheme Xnew.

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