Intelligent optimization system and method for communication pipeline design based on BIM

Abstract

The invention discloses a BIM-based communication pipeline design intelligent optimization system and method, and relates to the technical field of BIM. An initial data set X is constructed, the electromagnetic interference intensity between each pair of pipelines is deduced in combination with an electromagnetic field theory, an interference intensity matrix EMI is finally generated, the relative position of a high-interference pipeline is dynamically adjusted by adopting an optimization algorithm, and the relative position of the high-interference pipeline is optimized. The method comprises the steps of generating a preliminary pipeline layout scheme Xop, applying the preliminary pipeline layout scheme Xop to a BIM model, further combining a spatial constraint Cs to perform verification and fine tuning, calculating a pipeline position optimization evaluation index Ft, and comparing the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fth, thereby realizing scientific evaluation and decision-making of the scheme optimization effect, and improving the pipeline position optimization efficiency. The problems of insufficient electromagnetic interference influence evaluation, disjunction of an optimization process and spatial constraint and the like are solved in a targeted manner, and electromagnetic interference minimization, path optimization rationalization and space resource utilization maximization of communication pipeline layout are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of BIM, and in particular to a BIM-based communication pipeline design intelligent optimization system and method. Background Art

[0002] Communication technology is an important pillar of the modern information society, and one of its core 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 the design of communication pipelines. Specifically, the application of BIM is particularly important in high-density building scenarios, such as data centers or high-rise complexes.

[0003] Communication pipelines require complex wiring designs within limited spaces. Furthermore, due to the dense layout of communication pipelines in these buildings, electromagnetic interference will inevitably occur between the lines. If this interference is not properly optimized, it will directly threaten the stability of communication signals. In scenarios such as data centers, stable communication signals are crucial to business continuity, so it is necessary to design intelligent optimization methods for the electromagnetic interference problem of pipelines.

[0004] At present, 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 fully evaluate the complex electromagnetic field coupling relationship between pipelines, and cannot quickly generate optimization solutions to reduce interference. Although simulation software or basic optimization algorithms have been introduced into some design processes, these tools are often unable to be seamlessly integrated with building information model (BIM) data, resulting in the design results being difficult to fully consider the physical limitations of the building and the electromagnetic characteristics of the pipelines. In addition, the existing analysis methods are less sensitive to environmental parameters such as materials, electromagnetic shielding capabilities, and pipeline geometric characteristics, which greatly reduces the accuracy and practicality of the optimization results, and may cause unstable communication system performance. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a BIM-based communication pipeline design intelligent optimization system and method, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a BIM-based communication pipeline design intelligent optimization method, comprising the following steps: 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.

[0007] Preferably, 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 with the j-th pipeline, which is specifically 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.

[0008] Preferably, S12, by extracting the material properties of each pipeline in the BIM model, obtaining the electromagnetic shielding coefficient Ai of the i-th pipeline, analyzing the propagation characteristics of each pipeline, and analyzing the shielding effect of pipelines of different materials on electromagnetic interference, and integrating them with the spatial coordinate data Pi, relative position Pij and spatial constraints Cs to form an initial data set X.

[0009] Preferably, 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.

[0010] Preferably, 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 by calculating each pair of pipelines i and pipeline j, obtaining the electromagnetic interference intensity EMIij, and then synchronously filling it into the interference intensity matrix EMI, to construct the interference intensity matrix EMI of all pipelines, and pipeline i≠pipeline j.

[0011] Preferably, said 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.

[0012] Preferably, said 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.

[0013] Preferably, S42, wherein the association between the adjusted pipeline position and the spatial constraint is evaluated simultaneously by evaluating the association between the new relative position PNij and the spatial constraint Cs, including the boundary condition that the new relative position PNij satisfies 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.

[0014] Preferably, said 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.

[0015] A BIM-based communication pipeline design intelligent optimization system, including a geometric data extraction module, an interference analysis module, a pipeline adjustment module, a pipeline secondary analysis module and an 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 plan 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 plan Xnew.

[0016] The present invention provides a BIM-based communication pipeline design intelligent optimization system and method, which has the following beneficial effects: (1) By constructing the initial data set X and combining the electromagnetic field theory to deduce the electromagnetic interference intensity between each pair of pipelines, the interference intensity matrix EMI is finally generated. The relative position of the high-interference pipelines is dynamically adjusted by the optimization algorithm, and the preliminary pipeline layout scheme Xop is generated and applied to the BIM model. It is further verified and fine-tuned in combination with the spatial constraint Cs. The pipeline position optimization evaluation index Ft is calculated and compared 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 inadequate evaluation of the impact of electromagnetic interference and the disconnection between the optimization process and the spatial constraints are targeted. The intelligentization and controllability of the communication pipeline design optimization process are effectively improved. Finally, this method realizes the minimization of electromagnetic interference, the rationalization of path optimization, and the maximization of space resource utilization in the layout of communication pipelines, providing a scientific and efficient solution for the design of communication pipelines in high-density wiring scenarios such as data centers and smart buildings.

[0017] (2) By analyzing the correlation between the relative position Pij between pipelines and the electromagnetic shielding coefficient Ai, the electromagnetic interference intensity EMIij of pipeline i and pipeline j is accurately derived, and the interference intensity matrix EMI is constructed, thereby comprehensively quantifying the interference relationship between all pipelines, overcoming the problem of insufficient analysis of complex electromagnetic interference coupling in traditional methods. Furthermore, based on the interference intensity matrix EMI, dynamic adjustment of the interference intensity is achieved and the optimized new layout scheme Xopt is generated. It can quickly guide the pipeline layout to optimize in the direction of minimizing the interference intensity, and by verifying whether the adjusted relative position Pij meets the spatial constraint Cs, it ensures that the optimization scheme is not only optimal in theory, but also feasible in actual engineering.

[0018] (3) By adjusting the spatial coordinate data Pi of the new relative position PNij and verifying the correlation of the spatial constraint Cs, the execution position Pfinal that meets the actual space constraints is generated and applied to the BIM model to update the pipeline geometry and path, and finally the secondary control plan Xnew for the pipeline layout is formed. The quantitative evaluation of the optimization effect and scientific decision-making are achieved. In addition, an iterative trigger mechanism for dynamic adjustment and optimization is provided. When the optimization effect does not meet the standard, the iterative optimization is triggered to re-acquire 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 plan is directly implemented. Compared with the traditional method, this method not only ensures the scientificity and rigor of the layout optimization through the closed-loop feedback optimization evaluation mechanism, but also effectively avoids the uncertainty of the optimization plan, ensuring the efficiency, feasibility and dynamic response capability of the final layout plan. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of the steps of a BIM-based communication pipeline design intelligent optimization method of the present invention; Figure 2 This is a schematic diagram of a block diagram of an intelligent optimization system for communication pipeline design based on BIM of the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0021] Example 1 The present invention provides a BIM-based communication pipeline design intelligent optimization method, please refer to Figure 1 , including the following steps: 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.

[0022] In this embodiment, the geometric information, material properties and spatial position of buildings, equipment and communication pipelines are fully extracted to construct the initial data set X, and the electromagnetic interference intensity between each pair of pipelines is derived in combination with electromagnetic field theory, and finally the interference intensity matrix EMI is generated. The relative position of high-interference pipelines is dynamically adjusted by using an optimization algorithm, and a preliminary pipeline layout scheme Xop is generated and applied to the BIM model and further verified and fine-tuned in combination with the spatial constraint Cs, forming a secondary control scheme Xnew for pipeline layout. By comprehensively evaluating the interference intensity, cable path adjustment amount and spatial constraint satisfaction, the pipeline position optimization evaluation index Ft is calculated and compared with the preset pipeline position optimization execution evaluation threshold Fthe, so as to achieve scientific evaluation and decision-making of the scheme optimization effect, and solve the problems of insufficient electromagnetic interference impact evaluation, disconnection between the optimization process and the spatial constraint, and effectively improve the intelligence and controllability of the communication pipeline design optimization process. Finally, this method realizes the minimization of electromagnetic interference, rationalization of path optimization and maximization of spatial resource utilization in the layout of communication pipelines, and provides a scientific and efficient solution for the design of communication pipelines in high-density wiring scenarios such as data centers and smart buildings.

[0023] Example 2 This embodiment is explained in Example 1, please refer to Figure 1 , specifically: the 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 with the j-th pipeline, which is specifically 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.

[0024] 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.

[0025] Example 3 This embodiment is explained in Example 2. Please refer to Figure 1 , specifically: 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: ; In the formula, k represents the electromagnetic interference constant, which is 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 represent the electromagnetic shielding coefficients of pipeline i and pipeline j respectively, and Amax represents the upper limit of the electromagnetic shielding coefficient, which is obtained by counting the maximum values ​​of the material properties of several pipelines and normalizing the interference intensity.

[0026] S22. By marking all non-repetitive pipelines in the BIM model, the total number of pipelines n 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; The interference intensity matrix EMI is specifically: .

[0027] 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.

[0028] In this embodiment, the relationship between the relative position Pij between pipelines and the electromagnetic shielding coefficient Ai is analyzed by the Maxwell equations in the electromagnetic field theory, and the electromagnetic interference intensity EMIij of pipelines i and j is accurately derived, and the interference intensity matrix EMI is constructed, so as to comprehensively quantify the interference relationship between all pipelines, and overcome 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 new relative positions PNij by using the simulated annealing algorithm, the interference intensity is dynamically adjusted and the optimized new layout scheme Xopt is generated. 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 problem that the adjustment process is not flexible enough and the optimization result is not accurate enough in the traditional method. In addition, by verifying whether the adjusted relative position Pij satisfies the spatial constraint Cs, it is ensured that the optimization scheme 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 communication pipeline layout optimization process, and is particularly suitable for the actual needs of complex pipeline interference optimization in high-density wiring scenarios.

[0029] Example 4 This embodiment is explained in Example 3, please refer to Figure 1 , specifically: 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.

[0030] 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.

[0031] 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.

[0032] In this embodiment, the spatial coordinate data Pi of the new relative position PNij is adjusted, combined with the verification of the correlation relationship of the spatial constraint Cs, and the execution position Pfinal that meets the actual space constraints is generated, and applied to the BIM model to update the pipeline geometric position and path, and finally the pipeline layout secondary control plan Xnew is formed. The quantitative evaluation and scientific decision-making of the optimization effect are realized. And an iterative trigger mechanism for dynamic adjustment and optimization is provided. When the optimization effect does not meet the standard, the iterative optimization is triggered to re-acquire 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 plan is directly implemented. Compared with the traditional method, this method not only ensures the scientificity and rigor of the layout optimization through the closed-loop feedback optimization evaluation mechanism, but also effectively avoids the uncertainty of the optimization plan, ensures the efficiency, executability and dynamic response capability of the final layout plan, and provides an intelligent solution for the efficient design of communication pipelines in complex environments.

[0033] Example 5 A BIM-based communication pipeline design intelligent optimization system, please refer to Figure 2 ,Specifically: including 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 plan 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 plan Xnew.

[0034] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that 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 with the j-th pipeline, which is specifically 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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