BIM-based cable laying sequence optimization method

Abstract

The invention relates to the field of cable laying optimization, and discloses a BIM-based cable laying sequence optimization method, in order to solve the problem that existing cable laying path planning depends on static data and lacks real-time response capability, the method comprises the following steps: carrying out conflict detection based on a BIM model; spatial conflicts among a cable path, a building structure and a laid existing cable are identified, and environment construction data including environment monitoring data, BIM model data, construction progress data and geographic information data are acquired through monitoring equipment, a BIM platform, construction management software and a GIS system. An environment suitability index, a cable laying optimization index, a construction state index and a geographical environment suitability index are respectively calculated based on the data, and finally a cable laying suitability index is obtained through weighted summation and is compared with a preset feasibility threshold to determine whether to continue laying or re-plan. And the construction safety, efficiency and environmental adaptability are improved.

Description

Technical Field

[0001] This invention relates to the field of cable laying optimization, and more specifically to a BIM-based method for optimizing cable laying sequence. Background Technology

[0002] With the continuous development of the construction industry and power systems, traditional cable laying methods are no longer sufficient to meet increasingly complex construction needs. Traditional cable laying typically relies on manual planning and experience-based judgment, which can easily lead to problems such as construction conflicts, resource waste, and schedule delays. In recent years, BIM technology has been widely used in the fields of architecture, engineering, and construction. Through digitalization and 3D visualization, it provides projects with more accurate design and management tools. BIM technology can effectively integrate data from all stages of a project and provide real-time feedback and optimization suggestions during cable laying, solving problems such as conflict detection, schedule scheduling, and resource allocation in traditional methods. Therefore, BIM-based cable laying sequence optimization methods have become an important technical means to improve construction efficiency, reduce costs, and ensure safety.

[0003] However, the above-mentioned technologies have at least the following technical problems:

[0004] Existing cable laying path optimization methods typically rely on static data such as building layout, cable specifications, and pipeline locations, but lack real-time response to changes in the construction site environment, which directly affects the laying effect and safety of cables. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a BIM-based method for optimizing cable laying sequence to solve the problems existing in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A BIM-based method for optimizing cable laying sequence, the system comprising: using a BIM model for conflict detection to identify potential conflicts between the cable laying path and the building structure, as well as existing cables; adjusting and optimizing the cable laying sequence based on the conflict detection results to ensure that the cable laying sequence meets all construction requirements; acquiring environmental construction data, including environmental monitoring data, BIM model data, construction progress and site data, and geographic information data, through monitoring equipment, a BIM data integration platform, construction management software, and GIS; and performing calculations on the environmental monitoring data, BIM model data, construction progress data, and geographic information data within the environmental construction data. The following indices are calculated: environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index. A cable laying suitability index is obtained by comprehensively calculating these indices. This index is then compared with a cable laying feasibility threshold. If the cable laying suitability index is greater than or equal to the cable laying feasibility threshold, the cable is laid. If the cable laying suitability index is less than the cable laying feasibility threshold, the result is fed back to step 1. Based on the updated environmental and construction data, conflict detection and path optimization are performed again until a new cable laying suitability index is greater than or equal to the cable laying feasibility threshold.

[0008] Preferably, the specific steps for conflict detection using a BIM model are as follows: by integrating the three-dimensional BIM model data of building equipment and cable paths, the spatial position analysis of the cable laying path with the building structure and the existing cables is performed; a collision detection algorithm is used to identify potential spatial conflicts in the cable laying path; and each element in the BIM model is precisely located and its geometry is analyzed.

[0009] Preferably, the specific steps for adjustment and optimization based on the specific circumstances of the conflict are as follows: conduct a comprehensive analysis of the spatial relationship between the cable laying path, building structure, and existing cables through the BIM model, and use a collision detection algorithm to accurately identify the specific location and severity of the spatial conflict between the cable laying path, building structure, and existing cables.

[0010] Preferably, the steps for obtaining precise positioning and geometric shape analysis of each element in the BIM model are as follows: comprehensively analyze the spatial relationship between the cable laying path, building structure, and existing cables through the BIM model, and accurately identify the specific location and severity of spatial conflicts between the cable laying path, building structure, and existing cables using a collision detection algorithm.

[0011] Preferably, the step of obtaining the cable laying optimization index is as follows: In the formula, Pp The cable laying optimization index is given by L, where L is the cable path length and D is the cable laying optimization index. m C represents the minimum distance between the building and equipment layout. c Let be the j-th spatial conflict index.

[0012] Preferably, the steps for obtaining the geographical environment adaptability index are as follows:

[0013] In the formula, Es is the geographic environment adaptation index, S is the topographic data, σT is the standard deviation of the topographic data, and α is the topographic data standard deviation. G H is the sensitivity coefficient for geological data. G For soil moisture, T G T is the threshold for soil moisture. C For the current temperature, μ C Let σC be the average temperature, σC be the standard deviation of the air temperature, and λ be the average temperature. P For environmental pollution data, γ H For historical climate data, E(t) represents the intensity of extreme climate events at time t, and μ H This represents the average intensity of historical climate events.

[0014] Preferably, the step of obtaining the cable laying suitability index is as follows: normalizing the environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index, and then calculating the cable laying suitability index by weighted summation of the normalized environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index.

[0015] The technical effects and advantages of this invention are as follows:

[0016] Conflict detection based on BIM models identifies spatial conflicts between cable routes and building structures, as well as existing cables. Environmental construction data, including environmental monitoring data, BIM model data, construction progress data, and geographic information data, is acquired through monitoring equipment, BIM platforms, construction management software, and GIS systems. Based on this data, environmental suitability index, cable laying optimization index, construction status index, and geographic environment adaptability index are calculated. Finally, a weighted summation is performed to obtain the cable laying suitability index, which is compared with a preset feasibility threshold to determine whether to continue laying or replan, thus improving construction safety, efficiency, and environmental adaptability. Attached Figure Description

[0017] Figure 1 A flowchart illustrating a BIM-based method for optimizing cable laying sequence, as provided in this application embodiment. Detailed Implementation

[0018] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. In addition, the forms of the various structures described in the following embodiments are merely illustrative. The BIM-based cable laying sequence optimization method involved in the present invention is not limited to the structures described in the following embodiments. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] This invention provides a BIM-based method for optimizing cable laying sequence, such as... Figure 1 As shown, it includes the following steps:

[0020] Step 1: Use the BIM model to perform conflict detection and identify potential conflicts between the cable laying path and the building structure, as well as existing cables.

[0021] In this embodiment, it should be noted that the specific steps for conflict detection using a BIM model are as follows:

[0022] By integrating 3D BIM model data of building equipment and cable routes, spatial position analysis is performed on the cable laying path, building structure, and existing cables. A collision detection algorithm is used to identify potential spatial conflicts in the cable laying path. By accurately locating and geometrically analyzing each element in the BIM model, the specific location and extent of spatial conflicts are accurately determined, and the spatial coordinates and severity of the conflict points are displayed. This ensures that there are no inappropriate spatial conflicts between the cable laying path and the building structure, equipment, and facilities. It should be noted that the collision detection algorithm identifies potential spatial conflicts in the cable laying process by integrating 3D BIM model data of building equipment and cable routes and performing spatial position analysis on the cable laying path, building structure, and existing cables. The use of a collision detection algorithm to identify potential spatial conflicts in the cable laying path is existing technology, and this embodiment does not describe its specific steps in detail.

[0023] In this embodiment, it should be noted that the steps for accurately locating and geometrically analyzing each element in the BIM model to determine the specific location and extent of spatial conflicts are as follows:

[0024] For each component element in the BIM model, including cable laying paths, building structures, and existing cables, geometric shape analysis is performed. Precise positioning is based on the unified coordinates of the BIM model. The three-dimensional spatial coordinates of each component are obtained through the BIM model. Geometric shape analysis involves resolving the boundary volume, outline, and physical dimensions of each structure. By performing spatial Boolean operations on the geometric model of the cable laying path and the geometric models of surrounding components, areas of intersection, overlap, or insufficient spacing are accurately identified. This determines the specific three-dimensional coordinates, conflict type, and intrusion depth or spacing distance of spatial conflicts. It should be noted that spatial Boolean operations, in the field of computer graphics and 3D modeling, specifically refer to a core algorithm based on set theory principles that logically combines and analyzes the geometric spaces of two or more 3D solid models to generate new entities or determine spatial relationships. Spatial Boolean operations are existing technology, and this embodiment does not provide a detailed description of its specific steps.

[0025] Step 2: Based on the results of the collision detection, adjust and optimize the cable laying to ensure that the cable laying sequence meets all construction requirements;

[0026] In this embodiment, it should be noted that the specific steps for adjusting and optimizing cable laying based on the collision detection results are as follows:

[0027] A comprehensive analysis of the spatial relationships between cable laying paths, building structures, and existing cables is conducted using a BIM model. Collision detection algorithms are used to accurately identify the specific locations and severity of spatial conflicts between cable laying paths, building structures, and existing cables. Cable laying is then readjusted and optimized using a path optimization algorithm. It should be noted that the path optimization algorithm is a heuristic search algorithm that selects the optimal path from multiple possible paths to meet a specific optimization objective.

[0028] Step 3: Obtain environmental construction data through monitoring equipment, BIM data integration platform, construction management software and GIS. Environmental construction data includes environmental monitoring data, BIM model data, construction progress and site data and geographic information data.

[0029] Environmental monitoring data includes temperature, humidity, air pressure, wind speed, and precipitation;

[0030] BIM model data includes cable route length, minimum distance between building and equipment layout, and spatial conflict data;

[0031] Construction progress data includes construction data, equipment operating time, equipment downtime, and equipment efficiency.

[0032] Geographic information data includes topographic data, geological data, soil moisture, climate and temperature data, and environmental pollution data;

[0033] Step 4: Calculate the environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index from the environmental construction data, including environmental monitoring data, BIM model data, construction progress data, and geographic information data.

[0034] In this embodiment, it should be noted that the specific steps for obtaining the environmental suitability index are as follows:

[0035] By normalizing temperature, humidity, air pressure, wind speed, and precipitation, and then comprehensively calculating the environmental suitability index using environmental factor functions, the specific steps are as follows:

[0036] I = f(T,H,P,W,R);

[0037] In the formula, I is the environmental suitability index, f is the environmental factor function, T is the normalized temperature, H is the normalized humidity, P is the normalized air pressure, W is the normalized wind speed, and R is the normalized precipitation. It should be noted that the environmental factor function is used to calculate the degree of influence of each environmental monitoring data on cable laying. Each f function processes different environmental variables to generate a normalized influence value, which makes it easier to unify these different environmental factors onto a common scale and can intuitively reflect the degree of influence of specific environmental factors on the safety of cable laying.

[0038] In this embodiment, it should be noted that the specific steps for obtaining the cable laying optimization index are as follows:

[0039] The cable laying optimization index is calculated by considering cable path length, minimum distance between buildings and equipment, and spatial conflict index. The specific steps are as follows:

[0040]

[0041] In the formula, P p The cable laying optimization index is given by L, where L is the cable path length and D is the cable laying optimization index. m C represents the minimum distance between the building and equipment layout. c Let j be the spatial conflict index. Using the cable path planning optimization index formula, by quantifying the data of cable path planning, we can predict whether the cable laying path meets the design requirements at the beginning of the project. The optimized path can reduce repeated modifications during the construction process, thereby improving construction efficiency.

[0042] In this embodiment, it should be noted that the specific steps for obtaining the construction status index are as follows:

[0043] The construction status index is calculated by analyzing construction data, equipment operating time, equipment downtime, and equipment efficiency. The specific steps are as follows:

[0044]

[0045] In the formula, Cs is the construction status index, Ot is the equipment operating time, Tt is the total equipment operating time, Dt is the equipment downtime, and Ef is the equipment working efficiency. Using the construction status index calculation formula, we can quickly understand the operating status of the equipment and make timely adjustments to avoid delays in the construction progress caused by equipment problems.

[0046] In this embodiment, it should be noted that the specific steps for obtaining the geographical environment adaptability index are as follows:

[0047] The geographical environment adaptability index is calculated by analyzing topographic data, geological data, soil moisture, climate temperature data, and environmental pollution data. The specific steps are as follows:

[0048]

[0049] In the formula, Es is the geographic environment adaptation index, S is the topographic data, σT is the standard deviation of the topographic data, and α is the topographic data standard deviation. G H is the sensitivity coefficient for geological data. G For soil moisture, T G This is the threshold for soil moisture, representing the level below which T... C For the current temperature, μ C Let σC be the average temperature, σC be the standard deviation of the air temperature, and λ be the average temperature. P For environmental pollution data, γ H For historical climate data, E(t) represents the intensity of extreme climate events at time t, and μ H The average intensity of historical climate, t0 and t n The formula for calculating the Geographic Adaptability Index, which uses the start and end points of the time interval, can comprehensively assess the environmental adaptability of the construction area. It integrates multiple environmental factors into the comprehensive index to determine whether the area is suitable for cable laying. The Geographic Adaptability Index can reflect the degree of influence of environmental conditions on cable laying and potential construction risks.

[0050] Step 5: The cable laying suitability index is obtained by comprehensively calculating the environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index. The cable laying suitability index is compared with the cable laying feasibility threshold. When the cable laying suitability index is greater than or equal to the cable laying feasibility threshold, the cable is laid. When the cable laying suitability index is less than the cable laying feasibility threshold, the result is fed back to Step 1. Based on the updated environmental construction data, conflict detection and path optimization are performed again until the new cable laying suitability index is greater than or equal to the cable laying feasibility threshold.

[0051] In this embodiment, it should be noted that the specific steps for obtaining the cable laying feasibility threshold are as follows:

[0052] The statistical distribution method is used to collect a large number of complete historical datasets of cable laying projects. The datasets include, but are not limited to, the environmental suitability index, cable laying optimization index, construction status index, geographical environment adaptability index and corresponding cable laying suitability index of each project. At the same time, the safety performance evaluation results of each project after actual construction are recorded. It should be noted that the statistical distribution method is an existing technology, and this embodiment does not describe its specific steps in detail.

[0053] In this embodiment, it should be noted that the specific steps for obtaining the cable laying suitability index are as follows:

[0054] The environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index are normalized. The cable laying suitability index is then calculated by weighted summation of these normalized indices. The specific steps are as follows:

[0055] Ci=α×I+β×Pp+χ×Cs+η×Es;

[0056] In the formula, Ci is the cable laying suitability index, I is the normalized environmental suitability index, Pp is the normalized cable laying optimization index, Cs is the normalized construction status index, Es is the normalized geographical environment adaptability index, and α, β, χ, and η are the weight coefficients of the normalized environmental suitability index, the normalized cable laying optimization index, the normalized construction status index, and the normalized geographical environment adaptability index. The weight coefficients are obtained through the analytic hierarchy process (AHP). Weighted summation can integrate multiple complex factors into a simple comprehensive index, helping decision-makers to make quick judgments when faced with multi-dimensional data. It should be noted that the AHP is a decision-making method that decomposes decision-related elements into levels such as objectives, criteria, and solutions, and performs qualitative and quantitative analysis on this basis. The AHP is an existing technology, and this embodiment does not describe its specific steps in detail.

[0057] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

[0058] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for optimizing cable laying sequence based on BIM, characterized in that, The system includes; Step 1: Use the BIM model to perform conflict detection and identify potential conflicts between the cable laying path and the building structure, as well as existing cables. Step 2: Adjust and optimize the cable laying based on the collision detection results; Step 3: Obtain environmental construction data through monitoring equipment, BIM data integration platform, construction management software and GIS. Environmental construction data includes environmental monitoring data, BIM model data, construction progress and site data and geographic information data. Step 4: Calculate the environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index from the environmental construction data, including environmental monitoring data, BIM model data, construction progress data, and geographic information data. Step 5: The cable laying suitability index is obtained by comprehensively calculating the environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index. The cable laying suitability index is compared with the cable laying feasibility threshold. When the cable laying suitability index is greater than or equal to the cable laying feasibility threshold, the cable is laid. When the cable laying suitability index is less than the cable laying feasibility threshold, the result is fed back to Step 1. Based on the updated environmental construction data, conflict detection and path optimization are performed again until the new cable laying suitability index is greater than or equal to the cable laying feasibility threshold.

2. The method for optimizing cable laying sequence based on BIM according to claim 1, characterized in that: The specific steps for using a BIM model for conflict detection are as follows: By integrating 3D BIM model data of building equipment and cable routes, spatial location analysis is performed on cable laying routes, building structures, and existing cables. Collision detection algorithms are used to identify potential spatial conflicts in cable laying routes, and precise positioning and geometric analysis are performed on each element in the BIM model.

3. The method for optimizing cable laying sequence based on BIM according to claim 1, characterized in that, The steps for adjusting and optimizing cable laying based on the collision detection results are as follows: The BIM model is used to comprehensively analyze the spatial relationships between cable laying paths, building structures, and existing cables. Collision detection algorithms are used to accurately identify the specific locations and severity of spatial conflicts between cable laying paths, building structures, and existing cables.

4. The method for optimizing cable laying sequence based on BIM according to claim 2, characterized in that: The steps for obtaining precise positioning and geometric shape analysis of each element in the BIM model are as follows: For each component element in the BIM model, the cable laying path, building structure, and existing cables are geometrically analyzed. The three-dimensional spatial coordinates of each component are obtained through the BIM model. By performing spatial Boolean operations between the geometric model of the cable laying path and the geometric models of surrounding components, areas that intersect, overlap, or have insufficient spacing are accurately identified.

5. The method for optimizing cable laying sequence based on BIM according to claim 1, characterized in that: The steps for obtaining the cable laying optimization index are as follows: In the formula, P p The cable laying optimization index is given by L, where L is the cable path length and D is the cable laying optimization index. m C represents the minimum distance between the building and equipment layout. c Let be the j-th spatial conflict index.

6. The method for optimizing cable laying sequence based on BIM according to claim 1, characterized in that: The steps for obtaining the geographical environment adaptation index are as follows: In the formula, Es is the geographic environment adaptation index, S is the topographic data, σT is the standard deviation of the topographic data, and α is the topographic data standard deviation. G H is the sensitivity coefficient for geological data. G For soil moisture, T G T is the threshold for soil moisture. C For the current temperature, μ C Let σC be the average temperature, σC be the standard deviation of the air temperature, and λ be the average temperature. P For environmental pollution data, γ H For historical climate data, E(t) represents the intensity of extreme climate events at time t, and μ H This represents the average intensity of historical climate events.

7. The method for optimizing cable laying sequence based on BIM according to claim 1, characterized in that: The steps for obtaining the cable laying suitability index are as follows: The environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index are normalized. The cable laying suitability index is obtained by weighted summation of the normalized environmental suitability index, cable laying optimization index, construction status index, and geographical environment adaptability index.

Images