CN119514090A - A BIM-based communication pipeline design intelligent optimization system and method - Google Patents
A BIM-based communication pipeline design intelligent optimization system and method Download PDFInfo
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Abstract
本发明公开了一种基于BIM的通信管线设计智能优化系统及方法，涉及BIM技术领域，通过构建初始数据集X，并结合电磁场理论推导出每一对管线间的电磁干扰强度，最终生成干扰强度矩阵EMI，采用优化算法对高干扰管线的相对位置进行动态调整，生成初步的管线布局方案Xop应用到BIM模型中并进一步结合空间约束Cs进行验证与微调，计算管线位置优化评估指数Ft，并与预设的管线位置优化执行评估阈值Fthe进行对比，实现了对方案优化效果的科学评估与决策，电磁干扰影响评估不足、优化过程与空间约束脱节等进行了针对性解决，实现了通信管线布局的电磁干扰最小化、路径优化合理化以及空间资源利用的最大化。
The present invention discloses a BIM-based communication pipeline design intelligent optimization system and method, which relates to the technical field of BIM. An initial data set X is constructed, and the electromagnetic interference intensity between each pair of pipelines is derived in combination with electromagnetic field theory, and finally an interference intensity matrix EMI is generated. An optimization algorithm is used to dynamically adjust the relative positions of high-interference pipelines, and a preliminary pipeline layout scheme Xop is generated and applied to a BIM model, and further combined with a spatial constraint Cs for verification and fine-tuning. The pipeline position optimization evaluation index Ft is calculated and compared with a preset pipeline position optimization execution evaluation threshold Fthe, so that a scientific evaluation and decision-making of the scheme optimization effect is achieved, and problems such as insufficient electromagnetic interference impact evaluation and disconnection between the optimization process and the spatial constraint are targetedly solved, so that the electromagnetic interference of the communication pipeline layout is minimized, the path optimization is rationalized, and the utilization of space resources is maximized.
Description
Technical Field
The invention relates to the technical field of BIM, in particular to an intelligent optimization system and method for communication pipeline design based on BIM.
Background
Communication technology is an important support of modern information society, and one of the cores is the construction and optimization of a communication network. In the construction of communication networks, building information model BIM technology gradually exhibits powerful data integration and visualization capabilities, making it a key tool in communication pipeline design. In particular, the application of BIM is particularly important in high density building scenarios, such as data centers or high-rise integrated buildings.
Communication lines require complex wiring designs in a limited space. Further, due to the dense arrangement of communication lines in these buildings, electromagnetic interference is inevitably generated between the lines, which if not reasonably optimized, would directly threaten the stability of the communication signals. In the scenarios such as data centers, stable communication signals are critical to service continuity, so that an intelligent optimization method is required to be designed aiming at the electromagnetic interference problem of pipelines.
At present, in the design process of high-density communication pipeline wiring, the traditional methods mainly depend on experience of designers and limited mathematical analysis tools, and are difficult to comprehensively evaluate complex electromagnetic field coupling relations among pipelines, and an optimization scheme cannot be quickly generated to reduce interference. Although simulation software or basic optimization algorithm is introduced in part of the design flow, these tools often cannot be directly and seamlessly combined with building information model BIM data, so that the design result is difficult to comprehensively consider physical limitations of the building and electromagnetic characteristics of pipelines. In addition, existing analysis methods have low sensitivity to environmental parameters such as materials, electromagnetic shielding capability and pipeline geometry, and the accuracy and practicality of the optimization results are greatly compromised, which may lead to unstable communication system performance.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a communication pipeline design intelligent optimization system and method based on BIM, and solves the problems in the background art.
In order to achieve the purpose, the intelligent optimization method for the communication pipeline design based on the BIM comprises the following steps of:
s1, extracting communication pipeline related data from a BIM model, wherein the communication pipeline related data comprise geometric information, material properties and spatial positions of buildings, equipment and pipelines to form an initial data set X;
S2, deducing electromagnetic interference intensity between each pipeline by using an electromagnetic field theory on the initial data set X, and calculating interference intensity between pipelines to form an interference intensity matrix EMI between a plurality of pipelines;
S3, evaluating a state influence result among pipelines according to the interference intensity matrix EMI, adjusting interference among the pipelines by using an optimization algorithm formula, and adjusting relative positions among the pipelines to obtain a pipeline layout scheme XOpt;
s4, adjusting the initial position and the initial path of the pipeline in the BIM according to the obtained pipeline layout scheme XOpt, applying the initial position and the initial path to the BIM, and simultaneously evaluating the association relation between the adjusted pipeline position and the space limitation to obtain a pipeline layout secondary regulation scheme Xnew;
s5, comprehensively evaluating the pipeline position after the pipeline layout secondary regulation scheme Xnew is executed, obtaining a pipeline position optimization evaluation index Ft, comparing the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, and judging the execution state of the pipeline layout secondary regulation scheme Xnew.
Preferably, the S1 includes S11 and S12;
S11, extracting geometric information data and spatial position data of communication pipelines from a BIM model, wherein the geometric information, material properties and spatial positions of buildings, equipment and pipelines are included, and then extracting to obtain spatial coordinate data Pi of an ith pipeline, wherein the spatial coordinate data Pi specifically represents three-dimensional coordinate positions (xi, yi, zi) of the pipeline i, and the relative position Pij between the pipeline i and the jth pipeline, and the spatial coordinate data Pi are specifically obtained by calculating the spatial distance dij between the pipeline i and the pipeline j;
extracting space constraint Cs defined by the periphery of the pipeline, and specifically obtaining the space range of the building and the equipment in the BIM;
the spatial distance dij is obtained by the following calculation formula:
;
Where xi and xj represent the horizontal axis coordinates of the pipeline i and the pipeline j, respectively, yi and yj represent the vertical axis coordinates of the pipeline i and the pipeline j, and zi and zj represent the vertical axis coordinates of the pipeline i and the pipeline j, respectively.
Preferably, S12, by extracting the material attribute of each pipeline in the BIM model, the electromagnetic shielding coefficient Ai of the ith pipeline is obtained, the propagation characteristic of each pipeline is analyzed, the shielding effect of the pipelines with different materials on electromagnetic interference is analyzed, and the electromagnetic shielding effect is integrated with the spatial coordinate data Pi, the relative position Pij and the spatial constraint Cs to form the initial data set X.
Preferably, the S2 includes S21 and S22;
S21, analyzing the association relation between the relative position Pij and the electromagnetic shielding coefficient Ai between each pipeline by using an electromagnetic field theory, including a Maxwell equation set, of the initial data set X, and obtaining electromagnetic interference intensity EMIij of the pipeline i and the pipeline j after deduction calculation;
The electromagnetic interference intensity EMIij is obtained by the following calculation formula:
;
where k represents an electromagnetic interference constant, pij represents a relative position between the line i and the line j, ai and Aj represent electromagnetic shielding coefficients of the line i and the line j, respectively, and Amax represents an electromagnetic shielding coefficient upper limit value.
Preferably, S22, by marking all non-repeated pipelines in the BIM model, obtaining the total number n of the pipelines, traversing each pipeline in the total number n to form a pair of pipelines, calculating the interference intensity between each pair of pipelines, specifically, by calculating each pair of pipelines i and j, obtaining the electromagnetic interference intensity EMIij, and then synchronously filling the electromagnetic interference intensity EMIij into the interference intensity matrix EMI, so as to construct the interference intensity matrix EMI of all the pipelines, where the pipeline i is not equal to the pipeline j.
Preferably, the S3 includes S31 and S32;
The S31 includes S311, S312, and S313;
S311, ordering electromagnetic interference intensity EMIij of all off-diagonal lines of an interference intensity matrix EMI, screening out electromagnetic interference intensity EMIij which is larger than a preset screening interference intensity threshold EMIthe, and integrating to obtain a set S of high-interference pipeline pairs 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 to be optimized, wherein the optimization comprises the steps of adjusting the relative position Pij until the electromagnetic interference intensity EMIij is smaller 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 space constraint Cs;
S32, optimizing the relative position Pij of each pair of pipelines (i, j) of the high-interference pipeline pair set S according to the requirement, adjusting the interference intensity and generating an optimized new layout scheme Xopt, wherein the method comprises the steps of adjusting the electromagnetic interference intensity EMIij by using a simulated annealing algorithm, and obtaining the new relative position PNij and the adjustment quantity delta Pij of the adjusted pipeline pair;
The new relative position PNij is obtained by the following calculation formula:
;
Wherein DeltaPij represents an adjustment amount, and is obtained by dynamic calculation of a simulated annealing algorithm;
The adjustment quantity DeltaPij is obtained through the following calculation formula:
;
wherein DeltaPij represents the adjustment amount of the relative position of the pipeline i and the pipeline j, L represents an adjustment step factor, a scale factor for controlling the adjustment amplitude is specifically set to 0< L <1, EMIij represents the gradient direction of the interference intensity, specifically represents the change direction of the interference intensity relative to the position, V represents the disturbance coefficient, and R represents the random disturbance direction;
The gradient direction EMIij is obtained by the following calculation formula:
;
where dij denotes the spatial distance between the pipeline i and the pipeline j, pij denotes the relative position between the spatial coordinate data Pi of the pipeline i and the spatial coordinate data Pj of the pipeline j, Representing the partial guide symbol.
Preferably, the S4 includes S41 and S42;
S41, according to the new relative position PNij in the obtained pipeline layout scheme XOpt, spatial coordinate data Pi of the initial position and the initial path of the pipeline are adjusted in the BIM model to form new layout mapping, the new layout mapping is applied to the BIM model to update the geometric position and the path of the pipeline, meanwhile, the association relation between the adjusted pipeline position and the spatial limitation is evaluated, and the pipeline layout secondary regulation scheme Xnew is obtained, wherein the execution position Pfinal meeting the spatial constraint Cs is obtained after the spatial coordinate data Pi is adjusted according to the new relative position PNij.
Preferably, S42, wherein the evaluating the association between the adjusted pipeline position and the spatial constraint is performed specifically by evaluating the association between the new relative position PNij and the spatial constraint Cs, including that the new relative position PNij satisfies the boundary condition of the spatial constraint Cs;
the execution position Pfinal is obtained through the following calculation formula:
;
In the formula, when the new relative position PNij satisfies the space constraint Cs condition, the new relative position is directly used as the execution position Pfinal, and when the new relative position PNij does not satisfy the space constraint Cs condition, the adjustment amount Δpij needs to be continuously adjusted until the space constraint Cs condition is satisfied, and the result of the adjustment amount Δpij and the new relative position PNij is used as the execution position Pfinal.
Preferably, the S5 includes S51 and S52;
S51, comprehensively evaluating the pipeline position after the pipeline layout secondary regulation and control scheme Xnew is executed, and obtaining a pipeline position optimization evaluation index Ft;
The pipeline position optimization evaluation index Ft is obtained through the following calculation formula:
;
Wherein Pinal (i, j) represents the execution positions of the adjusted pipeline i and pipeline j, Δl (i, j) represents the path length variation of the adjusted pipeline i and pipeline j, S (i, j) represents the satisfied state of the execution positions of the adjusted pipeline i and pipeline j and the space constraint Cs, S (i, j) is 1 when satisfied, otherwise S (i, j) is 0, f1, f2 and f3 represent the execution positions Pinal (i, j) of the adjusted pipeline i and pipeline j, the path length variation Δl (i, j) of the adjusted pipeline i and pipeline j, and the preset weight value of the satisfied state S (i, j) of the execution positions of the adjusted pipeline i and pipeline j and the space constraint Cs, respectively, and f1+f2+f3=1, the specific values being set by the user;
S52, comparing the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, judging the execution state of the pipeline layout secondary regulation scheme Xnew, and acquiring an optimization effect triggering result;
the optimizing effect triggering result is obtained in the following comparison mode:
when the pipeline position optimization evaluation index Ft is more than or equal to the pipeline layout secondary regulation scheme Xnew, an optimization effect disqualification evaluation result is obtained, and a continuous iteration optimization mechanism is triggered, wherein the continuous iteration optimization mechanism comprises the steps of obtaining electromagnetic interference intensity EMIij, a new relative position PNij and an adjustment quantity delta Pij through iteration optimization;
And when the pipeline position optimization evaluation index Ft is smaller than the pipeline layout secondary regulation and control scheme Xnew, acquiring an optimization effect qualification evaluation result, stopping an iterative optimization mechanism, and implementing the layout of the execution position Pfluid.
A communication pipeline design intelligent optimization system based on BIM comprises 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 is used for extracting communication pipeline related data from the BIM model, wherein the communication pipeline related data comprise geometric information, material properties and spatial positions of buildings, equipment and pipelines to form an initial data set X;
The interference analysis module derives electromagnetic interference intensity between each pipeline by using an electromagnetic field theory on the initial data set X, calculates interference intensity between pipelines, and forms an interference intensity matrix EMI between a plurality of pipelines;
the pipeline adjusting module evaluates the state influence result among pipelines according to the interference intensity matrix EMI, adjusts the interference among the pipelines by using an optimization algorithm formula, and is used for adjusting the relative positions among the pipelines to obtain a pipeline layout scheme XOpt;
the pipeline secondary analysis module adjusts the initial position and the initial path of the pipeline in the BIM model according to the obtained pipeline layout scheme Xopt, and is applied to the BIM model, and meanwhile, the association relation between the adjusted pipeline position and the spatial limit is evaluated, so that a pipeline layout secondary regulation scheme Xnew is obtained;
And the evaluation iteration module comprehensively evaluates the pipeline position after the pipeline layout secondary regulation scheme Xnew is executed, acquires the pipeline position optimization evaluation index Ft, compares the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, and judges the execution state of the pipeline layout secondary regulation scheme Xnew.
The invention provides a communication pipeline design intelligent optimization system and method based on BIM, which has the following beneficial effects:
(1) The initial data set X is constructed, the electromagnetic interference intensity between each pipeline is deduced by combining an electromagnetic field theory, an interference intensity matrix EMI is finally generated, the relative position of the high-interference pipeline is dynamically adjusted by adopting an optimization algorithm, a preliminary pipeline layout scheme Xop is generated and applied to a BIM model, verification and fine adjustment are further carried out by combining space constraint Cs, a pipeline position optimization evaluation index Ft is calculated and is compared with a preset pipeline position optimization execution evaluation threshold Fthe, scientific evaluation and decision on the optimization effect of the scheme are realized, the defects of insufficient electromagnetic interference evaluation, optimization process and space constraint disjoint and the like are solved in a targeted mode, and the intellectualization and controllability of the communication pipeline design optimization process are effectively improved. Finally, the method realizes the minimization of electromagnetic interference, rationalization of path optimization and maximization of space resource utilization of communication pipeline layout, and provides a scientific and efficient solution for the communication pipeline design of high-density wiring scenes such as data centers, intelligent buildings and the like.
(2) By analyzing the association relation between the relative positions Pij among the pipelines and the electromagnetic shielding coefficient Ai, the electromagnetic interference intensity EMIij of the pipeline i and the pipeline j is accurately deduced, and an interference intensity matrix EMI is constructed, so that the interference relation among all pipelines is comprehensively quantized, and the problem of insufficient coupling analysis capability of complex electromagnetic interference in the traditional method is solved. Further, based on the interference intensity matrix EMI, dynamic adjustment of the interference intensity is achieved and an optimized new layout scheme Xopt is generated. The optimization of the pipeline layout in the direction of minimizing the interference intensity can be quickly guided, and the optimization scheme is ensured to have optimality in theory and feasibility in actual engineering through verifying whether the adjusted relative position Pij meets the space constraint Cs.
(3) Through the adjustment of the spatial coordinate data Pi of the new relative position PNij and the verification of the association relation of the spatial constraint Cs, an execution position Pfinish meeting the practical spatial constraint is generated and is applied to updating the pipeline geometric position and path of the BIM model, and finally, the pipeline layout secondary regulation and control scheme Xnew is formed. The quantitative evaluation and scientific decision of the optimization effect are realized. And an iteration trigger mechanism for dynamic adjustment and optimization is provided, when the optimization effect does not reach the standard, the iteration optimization is triggered to acquire the electromagnetic interference intensity EMIij, the new relative position PNij and the adjustment quantity delta Pij again for further optimization, and when the evaluation result is qualified, the optimization is stopped and the final layout scheme is directly implemented. Compared with the traditional method, the method guarantees scientificity and rigor of layout optimization through an optimization evaluation mechanism of closed loop feedback, simultaneously effectively avoids uncertainty of an optimization scheme, and ensures high efficiency, executable performance and dynamic response capability of a final layout scheme.
Drawings
FIG. 1 is a schematic diagram of steps of a communication pipeline design intelligent optimization method based on BIM;
FIG. 2 is a block diagram of a communication pipeline design intelligent optimization system based on BIM according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making any inventive effort based on the embodiments of the present invention are within the scope of protection of the present invention.
Example 1
The invention provides a communication pipeline design intelligent optimization method based on BIM (building information modeling), referring to FIG. 1, comprising the following steps:
s1, extracting communication pipeline related data from a BIM model, wherein the communication pipeline related data comprise geometric information, material properties and spatial positions of buildings, equipment and pipelines to form an initial data set X;
S2, deducing electromagnetic interference intensity between each pipeline by using an electromagnetic field theory on the initial data set X, and calculating interference intensity between pipelines to form an interference intensity matrix EMI between a plurality of pipelines;
S3, evaluating a state influence result among pipelines according to the interference intensity matrix EMI, adjusting interference among the pipelines by using an optimization algorithm formula, and adjusting relative positions among the pipelines to obtain a pipeline layout scheme XOpt;
s4, adjusting the initial position and the initial path of the pipeline in the BIM according to the obtained pipeline layout scheme XOpt, applying the initial position and the initial path to the BIM, and simultaneously evaluating the association relation between the adjusted pipeline position and the space limitation to obtain a pipeline layout secondary regulation scheme Xnew;
s5, comprehensively evaluating the pipeline position after the pipeline layout secondary regulation scheme Xnew is executed, obtaining a pipeline position optimization evaluation index Ft, comparing the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, and judging the execution state of the pipeline layout secondary regulation scheme Xnew.
In this embodiment, geometric information, material properties and spatial positions of buildings, devices and communication pipelines are comprehensively extracted, an initial data set X is constructed, electromagnetic interference intensity between each pipeline is deduced by combining an electromagnetic field theory, an interference intensity matrix EMI is finally generated, the relative positions of high-interference pipelines are dynamically adjusted by adopting an optimization algorithm, a preliminary pipeline layout scheme Xop is generated and applied to a BIM model, verification and fine adjustment are further performed by combining spatial constraint Cs, a pipeline layout secondary regulation scheme Xnew is formed, a pipeline position optimization evaluation index Ft is calculated by comprehensively evaluating interference intensity, cable path adjustment quantity and spatial constraint satisfaction, and compared with a preset pipeline position optimization execution evaluation threshold Fthe, so that scientific evaluation and decision on the effect of optimization of the scheme are realized, insufficient electromagnetic interference influence evaluation, optimization process and spatial constraint disconnection and the like are solved pertinently, and the intellectualization and controllability of a communication pipeline design optimization process are effectively improved. Finally, the method realizes the minimization of electromagnetic interference, rationalization of path optimization and maximization of space resource utilization of communication pipeline layout, and provides a scientific and efficient solution for the communication pipeline design of high-density wiring scenes such as data centers, intelligent buildings and the like.
Example 2
This embodiment is explained in embodiment 1, please refer to fig. 1, specifically, S1 includes S11 and S12;
S11, extracting geometric information data and spatial position data of communication pipelines from a BIM model, wherein the geometric information, material properties and spatial positions of buildings, equipment and pipelines are included, and then extracting to obtain spatial coordinate data Pi of an ith pipeline, wherein the spatial coordinate data Pi specifically represents three-dimensional coordinate positions (xi, yi, zi) of the pipeline i, and the relative position Pij between the pipeline i and the jth pipeline, and the spatial coordinate data Pi are specifically obtained by calculating the spatial distance dij between the pipeline i and the pipeline j;
extracting space constraint Cs defined by the periphery of the pipeline, and specifically obtaining the space range of the building and the equipment in the BIM;
the spatial distance dij is obtained by the following calculation formula:
;
Where xi and xj represent the horizontal axis coordinates of the pipeline i and the pipeline j, respectively, yi and yj represent the vertical axis coordinates of the pipeline i and the pipeline j, and zi and zj represent the vertical axis coordinates of the pipeline i and the pipeline j, respectively.
S12, acquiring an electromagnetic shielding coefficient Ai of an ith pipeline by extracting the material attribute of each pipeline in the BIM model, analyzing the propagation characteristics of each pipeline, analyzing the shielding effect of pipelines with different materials on electromagnetic interference, and integrating the electromagnetic shielding effect with the space coordinate data Pi, the relative position Pij and the space constraint Cs to form an initial data set X.
Example 3
This embodiment is explained in embodiment 2, please refer to fig. 1, specifically, S2 includes S21 and S22;
S21, analyzing the association relation between the relative position Pij and the electromagnetic shielding coefficient Ai between each pipeline by using an electromagnetic field theory, including a Maxwell equation set, of the initial data set X, and obtaining electromagnetic interference intensity EMIij of the pipeline i and the pipeline j after deduction calculation;
The electromagnetic interference intensity EMIij is obtained by the following calculation formula:
;
Wherein k represents an electromagnetic interference constant, specifically, by setting for material and medium characteristics by a user, pij represents a relative position between a pipeline i and a pipeline j, ai and Aj represent electromagnetic shielding coefficients of the pipeline i and the pipeline j, amax represents an electromagnetic shielding coefficient upper limit value, specifically, by counting the maximum value in the material properties of a plurality of pipelines, and normalizing the interference intensity.
S22, marking all unrepeated pipelines in the BIM model, obtaining the total number n of the pipelines, traversing each pipeline in the total number n to form a pair of pipelines, calculating the interference intensity between each pair of pipelines, specifically, after obtaining the electromagnetic interference intensity EMIij through calculating each pair of pipelines i and j, synchronously filling the electromagnetic interference intensity EMIij into an interference intensity matrix EMI, and constructing an interference intensity matrix EMI of all pipelines, wherein the pipeline i is not equal to the pipeline j;
the interference intensity matrix EMI is specifically:
。
the S3 comprises S31 and S32;
The S31 includes S311, S312, and S313;
S311, ordering electromagnetic interference intensity EMIij of all off-diagonal lines of an interference intensity matrix EMI, screening out electromagnetic interference intensity EMIij which is larger than a preset screening interference intensity threshold EMIthe, and integrating to obtain a set S of high-interference pipeline pairs 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 to be optimized, wherein the optimization comprises the steps of adjusting the relative position Pij until the electromagnetic interference intensity EMIij is smaller 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 space constraint Cs;
S32, optimizing the relative position Pij of each pair of pipelines (i, j) of the high-interference pipeline pair set S according to the requirement, adjusting the interference intensity and generating an optimized new layout scheme Xopt, wherein the method comprises the steps of adjusting the electromagnetic interference intensity EMIij by using a simulated annealing algorithm, and obtaining the new relative position PNij and the adjustment quantity delta Pij of the adjusted pipeline pair;
The new relative position PNij is obtained by the following calculation formula:
;
Wherein DeltaPij represents an adjustment amount, and is obtained by dynamic calculation of a simulated annealing algorithm;
The adjustment quantity DeltaPij is obtained through the following calculation formula:
;
wherein DeltaPij represents the adjustment amount of the relative position of the pipeline i and the pipeline j, L represents an adjustment step factor, a scale factor for controlling the adjustment amplitude is specifically set to 0< L <1, EMIij represents the gradient direction of the interference intensity, specifically represents the change direction of the interference intensity relative to the position, V represents the disturbance coefficient, and R represents the random disturbance direction;
The gradient direction EMIij is obtained by the following calculation formula:
;
where dij denotes the spatial distance between the pipeline i and the pipeline j, pij denotes the relative position between the spatial coordinate data Pi of the pipeline i and the spatial coordinate data Pj of the pipeline j, Representing the partial guide symbol.
In this embodiment, the correlation between the relative position Pij between the pipelines and the electromagnetic shielding coefficient Ai is analyzed by the Maxwell equation set in the electromagnetic field theory, the electromagnetic interference intensity EMIij of the pipeline i and the pipeline j is accurately deduced, and the interference intensity matrix EMI is constructed, so that the interference relation between all the pipelines is comprehensively quantized, and the problem of insufficient coupling analysis capability of complex electromagnetic interference in the traditional method is overcome. Further, based on the interference intensity matrix EMI, the dynamic adjustment of the interference intensity and the generation of an optimized new layout scheme Xopt are realized by screening and optimizing adjustment of the set S by the high-interference pipeline to be optimized, calculating the adjustment quantity Δpij by a simulated annealing algorithm, and generating a new relative position PNij. The dynamic adjustment mode based on the disturbance intensity gradient direction ∇ EMIij can rapidly guide the pipeline layout to optimize towards the direction of minimizing the disturbance intensity, thereby solving the problems of inflexible adjustment process and inaccurate optimization result in the traditional method. In addition, by verifying whether the adjusted relative position Pij meets the space constraint Cs, the optimization scheme is ensured to have optimality in theory and feasibility in actual engineering. The method remarkably improves the analysis precision, the adjustment efficiency and the overall system stability in the communication pipeline layout optimization process, and is particularly suitable for the actual requirements of complex pipeline interference optimization in a high-density wiring scene.
Example 4
This embodiment is explained in embodiment 3, please refer to fig. 1, specifically, S4 includes S41 and S42;
S41, according to the new relative position PNij in the obtained pipeline layout scheme XOpt, spatial coordinate data Pi of the initial position and the initial path of the pipeline are adjusted in the BIM model to form new layout mapping, the new layout mapping is applied to the BIM model to update the geometric position and the path of the pipeline, meanwhile, the association relation between the adjusted pipeline position and the spatial limitation is evaluated, and the pipeline layout secondary regulation scheme Xnew is obtained, wherein the execution position Pfinal meeting the spatial constraint Cs is obtained after the spatial coordinate data Pi is adjusted according to the new relative position PNij.
S42, evaluating the association relationship between the adjusted pipeline position and the space constraint at the same time, wherein the association relationship between the new relative position PNij and the space constraint Cs is evaluated, and the new relative position PNij meets the boundary condition of the space constraint Cs;
the execution position Pfinal is obtained through the following calculation formula:
;
In the formula, when the new relative position PNij satisfies the space constraint Cs condition, the new relative position is directly used as the execution position Pfinal, and when the new relative position PNij does not satisfy the space constraint Cs condition, the adjustment amount Δpij needs to be continuously adjusted until the space constraint Cs condition is satisfied, and the result of the adjustment amount Δpij and the new relative position PNij is used as the execution position Pfinal.
The S5 comprises S51 and S52;
S51, comprehensively evaluating the pipeline position after the pipeline layout secondary regulation and control scheme Xnew is executed, and obtaining a pipeline position optimization evaluation index Ft;
The pipeline position optimization evaluation index Ft is obtained through the following calculation formula:
;
Wherein Pinal (i, j) represents the execution positions of the adjusted pipeline i and pipeline j, Δl (i, j) represents the path length variation of the adjusted pipeline i and pipeline j, S (i, j) represents the satisfied state of the execution positions of the adjusted pipeline i and pipeline j and the space constraint Cs, S (i, j) is 1 when satisfied, otherwise S (i, j) is 0, f1, f2 and f3 represent the execution positions Pinal (i, j) of the adjusted pipeline i and pipeline j, the path length variation Δl (i, j) of the adjusted pipeline i and pipeline j, and the preset weight value of the satisfied state S (i, j) of the execution positions of the adjusted pipeline i and pipeline j and the space constraint Cs, respectively, and f1+f2+f3=1, the specific values being set by the user;
S52, comparing the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, judging the execution state of the pipeline layout secondary regulation scheme Xnew, and acquiring an optimization effect triggering result;
the optimizing effect triggering result is obtained in the following comparison mode:
when the pipeline position optimization evaluation index Ft is more than or equal to the pipeline layout secondary regulation scheme Xnew, an optimization effect disqualification evaluation result is obtained, and a continuous iteration optimization mechanism is triggered, wherein the continuous iteration optimization mechanism comprises the steps of obtaining electromagnetic interference intensity EMIij, a new relative position PNij and an adjustment quantity delta Pij through iteration optimization;
And when the pipeline position optimization evaluation index Ft is smaller than the pipeline layout secondary regulation and control scheme Xnew, acquiring an optimization effect qualification evaluation result, stopping an iterative optimization mechanism, and implementing the layout of the execution position Pfluid.
In this embodiment, through the adjustment of the spatial coordinate data Pi of the new relative position PNij and the verification of the association relation of the spatial constraint Cs, the execution position Pfinal satisfying the practical spatial constraint is generated, and is applied to the BIM model to update the pipeline geometric position and path, and finally the pipeline layout secondary regulation and control scheme Xnew is formed. The quantitative evaluation and scientific decision of the optimization effect are realized. And an iteration trigger mechanism for dynamic adjustment and optimization is provided, when the optimization effect does not reach the standard, the iteration optimization is triggered to acquire the electromagnetic interference intensity EMIij, the new relative position PNij and the adjustment quantity delta Pij again for further optimization, and when the evaluation result is qualified, the optimization is stopped and the final layout scheme is directly implemented. Compared with the traditional method, the method guarantees scientificity and rigor of layout optimization through an optimization evaluation mechanism of closed loop feedback, simultaneously effectively avoids uncertainty of an optimization scheme, ensures high efficiency, executable performance and dynamic response capability of a final layout scheme, and provides an intelligent solving way for high-efficiency design in a complex environment of a communication pipeline.
Example 5
Referring to fig. 2, the communication pipeline design intelligent optimization system based on BIM specifically comprises 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 is used for extracting communication pipeline related data from the BIM model, wherein the communication pipeline related data comprise geometric information, material properties and spatial positions of buildings, equipment and pipelines to form an initial data set X;
The interference analysis module derives electromagnetic interference intensity between each pipeline by using an electromagnetic field theory on the initial data set X, calculates interference intensity between pipelines, and forms an interference intensity matrix EMI between a plurality of pipelines;
the pipeline adjusting module evaluates the state influence result among pipelines according to the interference intensity matrix EMI, adjusts the interference among the pipelines by using an optimization algorithm formula, and is used for adjusting the relative positions among the pipelines to obtain a pipeline layout scheme XOpt;
the pipeline secondary analysis module adjusts the initial position and the initial path of the pipeline in the BIM model according to the obtained pipeline layout scheme Xopt, and is applied to the BIM model, and meanwhile, the association relation between the adjusted pipeline position and the spatial limit is evaluated, so that a pipeline layout secondary regulation scheme Xnew is obtained;
And the evaluation iteration module comprehensively evaluates the pipeline position after the pipeline layout secondary regulation scheme Xnew is executed, acquires the pipeline position optimization evaluation index Ft, compares the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, and judges the execution state of the pipeline layout secondary regulation scheme Xnew.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A communication pipeline design intelligent optimization method based on BIM is characterized by comprising the following steps:
s1, extracting communication pipeline related data from a BIM model, wherein the communication pipeline related data comprise geometric information, material properties and spatial positions of buildings, equipment and pipelines to form an initial data set X;
S2, deducing electromagnetic interference intensity between each pipeline by using an electromagnetic field theory on the initial data set X, and calculating interference intensity between pipelines to form an interference intensity matrix EMI between a plurality of pipelines;
S3, evaluating a state influence result among pipelines according to the interference intensity matrix EMI, adjusting interference among the pipelines by using an optimization algorithm formula, and adjusting relative positions among the pipelines to obtain a pipeline layout scheme XOpt;
s4, adjusting the initial position and the initial path of the pipeline in the BIM according to the obtained pipeline layout scheme XOpt, applying the initial position and the initial path to the BIM, and simultaneously evaluating the association relation between the adjusted pipeline position and the space limitation to obtain a pipeline layout secondary regulation scheme Xnew;
s5, comprehensively evaluating the pipeline position after the pipeline layout secondary regulation scheme Xnew is executed, obtaining a pipeline position optimization evaluation index Ft, comparing the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, and judging the execution state of the pipeline layout secondary regulation scheme Xnew.
2. The intelligent optimization method for BIM based communication pipeline design as recited in claim 1, wherein S1 comprises S11 and S12;
S11, extracting geometric information data and spatial position data of communication pipelines from a BIM model, wherein the geometric information, material properties and spatial positions of buildings, equipment and pipelines are included, and then extracting to obtain spatial coordinate data Pi of an ith pipeline, wherein the spatial coordinate data Pi specifically represents three-dimensional coordinate positions (xi, yi, zi) of the pipeline i, and the relative position Pij between the pipeline i and the jth pipeline, and the spatial coordinate data Pi are specifically obtained by calculating the spatial distance dij between the pipeline i and the pipeline j;
extracting space constraint Cs defined by the periphery of the pipeline, and specifically obtaining the space range of the building and the equipment in the BIM;
the spatial distance dij is obtained by the following calculation formula:
;
Where xi and xj represent the horizontal axis coordinates of the pipeline i and the pipeline j, respectively, yi and yj represent the vertical axis coordinates of the pipeline i and the pipeline j, and zi and zj represent the vertical axis coordinates of the pipeline i and the pipeline j, respectively.
3. The intelligent optimization method for BIM-based communication pipeline design as set forth in claim 2, wherein S12, by extracting the material properties of each pipeline in the BIM model, the electromagnetic shielding coefficient Ai of the ith pipeline is obtained, the propagation characteristics of each pipeline are analyzed, the shielding effect of pipelines made of different materials on electromagnetic interference is analyzed, and the electromagnetic shielding effect is integrated with the spatial coordinate data Pi, the relative position Pij and the spatial constraint Cs to form an initial data set X.
4. The method for intelligent optimization of a BIM based communication pipeline design as recited in claim 3, wherein S2 includes S21 and S22;
S21, analyzing the association relation between the relative position Pij and the electromagnetic shielding coefficient Ai between each pipeline by using an electromagnetic field theory, including a Maxwell equation set, of the initial data set X, and obtaining electromagnetic interference intensity EMIij of the pipeline i and the pipeline j after deduction calculation;
The electromagnetic interference intensity EMIij is obtained by the following calculation formula:
;
where k represents an electromagnetic interference constant, pij represents a relative position between the line i and the line j, ai and Aj represent electromagnetic shielding coefficients of the line i and the line j, respectively, and Amax represents an electromagnetic shielding coefficient upper limit value.
5. The intelligent optimization method for communication pipeline design based on BIM according to claim 4, wherein S22, through marking all unrepeated pipelines in a BIM model, the total number n of pipelines is obtained, each pipeline in the total number n is traversed to form paired pipelines, the interference intensity between each pipeline is calculated, specifically, after electromagnetic interference intensity EMIij is obtained through calculating each pair of pipeline i and pipeline j, the electromagnetic interference intensity is synchronously filled into an interference intensity matrix EMI, the interference intensity matrix EMI of all pipelines is constructed, and the pipeline i is not equal to the pipeline j.
6. The intelligent optimization method for BIM based communication pipeline design as recited in claim 5, wherein S3 comprises S31 and S32;
The S31 includes S311, S312, and S313;
S311, ordering electromagnetic interference intensity EMIij of all off-diagonal lines of an interference intensity matrix EMI, screening out electromagnetic interference intensity EMIij which is larger than a preset screening interference intensity threshold EMIthe, and integrating to obtain a set S of high-interference pipeline pairs 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 to be optimized, wherein the optimization comprises the steps of adjusting the relative position Pij until the electromagnetic interference intensity EMIij is smaller 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 space constraint Cs;
S32, optimizing the relative position Pij of each pair of pipelines (i, j) of the high-interference pipeline pair set S according to the requirement, adjusting the interference intensity and generating an optimized new layout scheme Xopt, wherein the method comprises the steps of adjusting the electromagnetic interference intensity EMIij by using a simulated annealing algorithm, and obtaining the new relative position PNij and the adjustment quantity delta Pij of the adjusted pipeline pair;
The new relative position PNij is obtained by the following calculation formula:
;
Wherein DeltaPij represents an adjustment amount, and is obtained by dynamic calculation of a simulated annealing algorithm;
The adjustment quantity DeltaPij is obtained through the following calculation formula:
;
wherein DeltaPij represents the adjustment amount of the relative position of the pipeline i and the pipeline j, L represents an adjustment step factor, a scale factor for controlling the adjustment amplitude is specifically set to 0< L <1, EMIij represents the gradient direction of the interference intensity, specifically represents the change direction of the interference intensity relative to the position, V represents the disturbance coefficient, and R represents the random disturbance direction;
The gradient direction EMIij is obtained by the following calculation formula:
;
where dij denotes the spatial distance between the pipeline i and the pipeline j, pij denotes the relative position between the spatial coordinate data Pi of the pipeline i and the spatial coordinate data Pj of the pipeline j, Representing the partial guide symbol.
7. The intelligent optimization method for BIM based communication pipeline design as recited in claim 6, wherein S4 includes S41 and S42;
S41, according to the new relative position PNij in the obtained pipeline layout scheme XOpt, spatial coordinate data Pi of the initial position and the initial path of the pipeline are adjusted in the BIM model to form new layout mapping, the new layout mapping is applied to the BIM model to update the geometric position and the path of the pipeline, meanwhile, the association relation between the adjusted pipeline position and the spatial limitation is evaluated, and the pipeline layout secondary regulation scheme Xnew is obtained, wherein the execution position Pfinal meeting the spatial constraint Cs is obtained after the spatial coordinate data Pi is adjusted according to the new relative position PNij.
8. The intelligent optimization method of BIM-based communication pipeline design of claim 7, wherein S42, wherein the correlation between the adjusted pipeline position and the space constraint is evaluated at the same time, specifically by evaluating the correlation between the new relative position PNij and the space constraint Cs, and the new relative position PNij meets the boundary condition of the space constraint Cs;
the execution position Pfinal is obtained through the following calculation formula:
;
In the formula, when the new relative position PNij satisfies the space constraint Cs condition, the new relative position is directly used as the execution position Pfinal, and when the new relative position PNij does not satisfy the space constraint Cs condition, the adjustment amount Δpij needs to be continuously adjusted until the space constraint Cs condition is satisfied, and the result of the adjustment amount Δpij and the new relative position PNij is used as the execution position Pfinal.
9. The intelligent optimization method for BIM based communication pipeline design as recited in claim 8, wherein S5 includes S51 and S52;
S51, comprehensively evaluating the pipeline position after the pipeline layout secondary regulation and control scheme Xnew is executed, and obtaining a pipeline position optimization evaluation index Ft;
The pipeline position optimization evaluation index Ft is obtained through the following calculation formula:
;
Wherein Pinal (i, j) represents the execution positions of the adjusted pipeline i and pipeline j, Δl (i, j) represents the path length variation of the adjusted pipeline i and pipeline j, S (i, j) represents the satisfied state of the execution positions of the adjusted pipeline i and pipeline j and the space constraint Cs, S (i, j) is 1 when satisfied, otherwise S (i, j) is 0, f1, f2 and f3 represent the execution positions Pinal (i, j) of the adjusted pipeline i and pipeline j, the path length variation Δl (i, j) of the adjusted pipeline i and pipeline j, and the preset weight value of the satisfied state S (i, j) of the execution positions of the adjusted pipeline i and pipeline j and the space constraint Cs, respectively, and f1+f2+f3=1, the specific values being set by the user;
S52, comparing the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, judging the execution state of the pipeline layout secondary regulation scheme Xnew, and acquiring an optimization effect triggering result;
the optimizing effect triggering result is obtained in the following comparison mode:
when the pipeline position optimization evaluation index Ft is more than or equal to the pipeline layout secondary regulation scheme Xnew, an optimization effect disqualification evaluation result is obtained, and a continuous iteration optimization mechanism is triggered, wherein the continuous iteration optimization mechanism comprises the steps of obtaining electromagnetic interference intensity EMIij, a new relative position PNij and an adjustment quantity delta Pij through iteration optimization;
And when the pipeline position optimization evaluation index Ft is smaller than the pipeline layout secondary regulation and control scheme Xnew, acquiring an optimization effect qualification evaluation result, stopping an iterative optimization mechanism, and implementing the layout of the execution position Pfluid.
10. The intelligent optimization system for the communication pipeline design based on the BIM is applied to the intelligent optimization method for the communication pipeline design based on the BIM, which is characterized by comprising 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 is used for extracting communication pipeline related data from the BIM model, wherein the communication pipeline related data comprise geometric information, material properties and spatial positions of buildings, equipment and pipelines to form an initial data set X;
The interference analysis module derives electromagnetic interference intensity between each pipeline by using an electromagnetic field theory on the initial data set X, calculates interference intensity between pipelines, and forms an interference intensity matrix EMI between a plurality of pipelines;
the pipeline adjusting module evaluates the state influence result among pipelines according to the interference intensity matrix EMI, adjusts the interference among the pipelines by using an optimization algorithm formula, and is used for adjusting the relative positions among the pipelines to obtain a pipeline layout scheme XOpt;
the pipeline secondary analysis module adjusts the initial position and the initial path of the pipeline in the BIM model according to the obtained pipeline layout scheme Xopt, and is applied to the BIM model, and meanwhile, the association relation between the adjusted pipeline position and the spatial limit is evaluated, so that a pipeline layout secondary regulation scheme Xnew is obtained;
And the evaluation iteration module comprehensively evaluates the pipeline position after the pipeline layout secondary regulation scheme Xnew is executed, acquires the pipeline position optimization evaluation index Ft, compares the pipeline position optimization evaluation index Ft with a preset pipeline position optimization execution evaluation threshold Fthe, and judges the execution state of the pipeline layout secondary regulation scheme Xnew.
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