Fabricated house anti-seepage construction optimization method and device based on BIM (Building Information Modeling)

Abstract

The invention discloses a BIM-based fabricated residence anti-seepage construction optimization method and device, and relates to the technical field of intelligent construction.The method comprises the steps that target fabricated residence design drawing information is collected, a fabricated residence BIM model is built, a residence seepage risk point set is determined through collision detection, and a target fabricated residence seepage risk point set is obtained; a foundation residence construction scheme is obtained based on analysis of the set, residence leakage condition simulation parameters are obtained through simulation construction, then the foundation residence construction scheme is optimized according to the parameters to generate a residence construction optimization scheme, and finally residence anti-leakage construction control is implemented through the optimization scheme, so that precise control over the leakage risk of the fabricated residence is achieved. And the stable and reliable anti-seepage construction effect is ensured. The technical problems that a traditional anti-seepage mode is difficult to accurately position the hidden danger of seepage of the fabricated residence and the construction scheme lacks pertinence are solved, and the technical effect of improving the reliability and the effect stability of anti-seepage construction through dynamic management and control is achieved.

Description

Technical Field

[0001] This invention relates to the field of intelligent construction technology, and in particular to a method and device for optimizing the construction of prefabricated residential buildings for waterproofing based on BIM. Background Technology

[0002] The effectiveness of waterproofing in prefabricated housing directly impacts living comfort and building safety and stability. Leakage risks often originate from critical areas such as component joints and connection points, making precise prevention and control crucial. Current technologies rely on experience to assess risk in traditional waterproofing construction, lacking systematic digital analysis and dynamic optimization methods. While applicable in conventional scenarios, these methods reveal significant limitations as the assembly rate of prefabricated buildings increases. The inventors of this application have discovered that traditional methods cannot accurately identify leakage risk points, lack targeted construction plans, and lack process simulation and dynamic correction, resulting in unstable waterproofing effects and failing to meet the needs of precise waterproofing construction and management in prefabricated housing. Summary of the Invention

[0003] This application provides a BIM-based method and device for optimizing the construction of prefabricated residential buildings to prevent leakage, which solves the technical problems of traditional leakage prevention methods that make it difficult to accurately locate potential leakage hazards in prefabricated residential buildings and lack targeted construction schemes.

[0004] The first aspect of this application provides a BIM-based method for optimizing the construction of prefabricated residential buildings to prevent leakage. The method includes: collecting design drawings of a target prefabricated residential building; performing BIM modeling based on the design drawings to build a prefabricated residential building BIM model; performing collision detection on the prefabricated residential building BIM model to obtain collision detection results, and determining a set of leakage risk points based on the collision detection results; analyzing the construction plan based on the leakage risk point set to obtain a basic residential building construction plan, and simulating the construction process using the basic residential building construction plan to obtain simulation parameters for leakage conditions; optimizing the basic residential building construction plan based on the simulation parameters for leakage conditions to generate an optimized residential building construction plan, and controlling the construction of the prefabricated residential building to prevent leakage.

[0005] A second aspect of this application provides a BIM-based prefabricated residential building anti-leakage construction optimization device. The device includes: a residential building BIM model construction module, used to collect design drawing information of a target prefabricated residential building, perform BIM modeling based on the design drawing information, and build a prefabricated residential building BIM model; a residential leakage risk point set acquisition module, used to perform collision detection on the prefabricated residential building BIM model, obtain residential collision detection results, and determine a residential leakage risk point set based on the residential collision detection results; a residential leakage parameter acquisition module, used to analyze the construction plan based on the residential leakage risk point set, obtain a basic residential building construction plan, and simulate the construction process using the basic residential building construction plan to obtain residential leakage simulation parameters; and a residential anti-leakage execution module, used to optimize the basic residential building construction plan based on the residential leakage simulation parameters, generate a residential construction optimization plan, and control the residential anti-leakage construction using the residential construction optimization plan.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: This application builds a model by collecting design drawings of prefabricated houses, identifies leakage risk points through collision detection and risk assessment, analyzes and matches construction plans and simulates construction leakage, and optimizes and adjusts the plan by combining simulation results and construction feedback. This achieves precise prevention and control of leakage risks in prefabricated houses and dynamic management of the construction process, making the anti-leakage construction effect of prefabricated houses more stable and reliable. It achieves the technical effect of improving the reliability and stability of anti-leakage construction through dynamic management. Attached Figure Description

[0007] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0008] Figure 1 This is a flowchart illustrating the BIM-based construction optimization method for waterproofing prefabricated residential buildings provided in this application embodiment.

[0009] Figure 2 This is a structural schematic diagram of the BIM-based prefabricated residential waterproofing construction optimization device provided in the embodiments of this application.

[0010] Figure labeling: Residential BIM model construction module 1, Residential leakage risk point set acquisition module 2, Residential leakage parameter acquisition module 3, Residential leakage prevention execution module 4. Detailed Implementation

[0011] This application provides a BIM-based method and device for optimizing the construction of prefabricated residential buildings to prevent leakage, which solves the technical problems of traditional leakage prevention methods that make it difficult to accurately locate potential leakage hazards in prefabricated residential buildings and lack targeted construction schemes.

[0012] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0013] It should be noted that the terms "first," "second," etc., in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices.

[0014] Example 1, as Figure 1 As shown, a BIM-based optimization method for waterproofing construction of prefabricated residential buildings is presented, wherein the method includes: Collect the design drawings of the target prefabricated residential building, and build a BIM model of the prefabricated residential building based on the design drawings.

[0015] Specifically, firstly, complete electronic design drawings are obtained from the design unit of the target prefabricated residential building. The drawing format should preferably be the industry-standard CAD format, covering all relevant information such as building structure, component layout, and detailed node drawings. Using CAD drawing parsing software, key information is extracted from the drawings, including the dimensions, material types, installation locations, and connection methods of prefabricated components; the pouring range and construction joint locations of cast-in-place sections; and the dimensions and coordinates of reserved holes for electromechanical pipelines. Simultaneously, the completeness of the extracted information is manually verified to ensure no critical parameters are omitted.

[0016] Next, Revit, a BIM modeling software commonly used by those skilled in the art, was selected. Following industry standards for prefabricated building BIM modeling, unified component coding rules, layer division standards, and modeling accuracy requirements were established. The extracted drawing information was broken down by professional category into modules such as structural components, architectural decoration, and pre-embedded components. The data for each module was categorized and organized, clarifying the spatial relationships and connection logic between components, providing clear and orderly data support for the modeling process.

[0017] Then, an overall spatial coordinate system is established in the BIM modeling software. Based on the axis and elevation data in the drawings, the main building framework is constructed, and basic parameters such as the height, span, and depth of each floor are determined. For standard prefabricated components, the software's built-in prefabricated component library is directly used, and the component dimensions, materials, and other attributes are modified according to the extracted parameters. For non-standard components, the component outlines are manually drawn using the software's drawing tools, and detailed dimensions, reinforcement layout, and other parameters are input to complete the modeling of various components such as prefabricated shear walls, composite slabs, stairs, and wall panels. During the modeling process, the position and connection method of each component are precisely set to ensure complete consistency with the design drawings.

[0018] Finally, the completed model was verified using the visualization inspection function and basic collision detection tool of the BIM software. This included checking whether the component dimensions were accurate, whether the spatial layout was reasonable, and whether the component connections met the design requirements. At the same time, the model was compared with the original design drawings one by one to correct any deviations and errors.

[0019] Through the above operations, two-dimensional design drawings are transformed into three-dimensional visualized prefabricated residential BIM models, providing an accurate and complete digital carrier for subsequent leakage risk identification and construction plan optimization.

[0020] Collision detection is performed on the prefabricated residential building BIM model to obtain the residential building collision detection results, and the set of residential building leakage risk points is determined based on the residential building collision detection results.

[0021] Optionally, first, launch the clash detection module of a commonly used BIM software corresponding to the completed prefabricated residential building BIM model. First, define the detection scope, covering all connections between prefabricated components and cast-in-place structures, between different prefabricated components, and between components and reserved openings for mechanical and electrical pipelines. Then, set the detection type to dual detection of hard and soft collisions. Hard collisions address interference between component entities, while soft collisions address situations where the gap between components is less than the waterproof sealing requirements. Execute the clash detection command according to the above settings. The software will automatically identify the collision locations in the model and generate residential building clash detection results containing information such as collision location coordinates, associated component names, and collision severity.

[0022] Next, collision points are extracted from the residential collision detection results to form a residential collision point set. Then, the collision points in the set are labeled with attributes such as component type, collision location, and collision type to obtain a collision point attribute parameter set. Finally, based on this attribute parameter set, leakage risk identification is carried out on the residential collision point set to determine the residential leakage risk point set. This step will be explained in detail in the following content.

[0023] Based on the set of residential leakage risk points, the construction plan is analyzed to obtain the basic residential construction plan. The construction process is then simulated using the basic residential construction plan to obtain simulation parameters for residential leakage.

[0024] In one embodiment of this application, a leak-proof construction strategy library is first constructed based on the leak-proof standard for prefabricated housing. Then, the housing leak-proof risk point set is classified into levels according to the collision point leak-proof risk coefficient set to determine the graded leak-proof risk point set. Finally, based on the leak-proof construction strategy library, the construction plan for the graded leak-proof risk point set is analyzed to obtain the basic housing construction plan. This step will be described in detail in the following content.

[0025] Next, BIM construction simulation software commonly used by those skilled in the art was selected to import the basic residential construction plan into the prefabricated residential BIM model. Simulation parameters were set, including key parameters related to leakage such as component installation accuracy error, concrete pouring speed, temperature and humidity of the curing environment, and curing time of sealing materials. The entire process, including component installation, joint treatment, and waterproofing construction, was simulated step by step according to the construction flow. During the simulation, the software automatically identified potential leakage hazards in the construction plan and output simulation parameters of residential leakage conditions, such as the leakage probability of each risk point, the distribution of leakage areas, and the estimated leakage volume, providing data support for the subsequent optimization of the basic construction plan.

[0026] Based on the simulated parameters of the residential leakage situation, the basic residential construction plan is optimized to generate an optimized residential construction plan, and the residential leakage prevention construction is controlled through the optimized residential construction plan.

[0027] Specifically, the process begins by evaluating the waterproofing effectiveness of simulated parameters for residential building leakage to determine the basic waterproofing performance. If this performance fails to meet the preset waterproofing target, a residential construction optimization command is triggered. Based on this command, a waterproofing optimization goal is then preset. Finally, the basic residential construction plan is optimized according to this goal and the simulated leakage parameters, generating an optimized construction plan. Next, waterproofing construction is carried out using this optimized plan, and the process is monitored to obtain feedback. Based on this feedback, the optimized construction plan is further refined. Finally, the revised optimized construction plan is used to control the waterproofing construction. This step will be explained in detail later.

[0028] Furthermore, the method provided in this application embodiment includes: The collision points of the residential buildings are extracted from the collision detection results to obtain a set of residential collision points; the collision point set is attribute-identified to obtain a set of collision point attribute parameters, which includes component type, collision location and collision type; based on the collision point attribute parameter set, the set of residential collision points is used to identify leakage risks and determine a set of residential leakage risk points.

[0029] Specifically, after the collision detection results are generated, the BIM software's filtering function is used to perform preliminary processing, eliminating minor deviation collisions explicitly allowed in the design documents and invalid collisions that do not affect waterproofing and sealing performance, such as slight overlaps of non-critical components. Only valid collision records that may lead to leaks are retained. Subsequently, the software's data export function is used to extract core data such as the 3D coordinates of valid collision points and information on two or more associated components. This data is then categorized and organized according to detection time or component type to form a structured set of residential collision points, ensuring that each collision point has traceable basic information.

[0030] Next, for the compiled set of residential collision points, each collision point was individually labeled with attributes using the attribute editing tools of BIM software or manual annotation. For component types, the specific categories of all components involved in the collision were clearly labeled, such as precast wall panels, composite slabs, cast-in-place beams, and reserved pipe holes; for collision locations, they were precisely labeled to specific parts, such as the vertical joints of wall panels, the connection between the edge of composite slabs and cast-in-place beams, and the location of the bottom grouting layer of precast shear walls; for collision types, they were classified according to the actual collision situation into categories such as component misalignment collisions, collisions with excessive joint gaps, collisions with interference between holes and component edges, and collisions with pipelines penetrating the sealing surface of components. After completing all attribute annotations, a set of residential collision points containing a complete set of collision point attribute parameters was formed.

[0031] Finally, a set of leakage risk assessment indicators is constructed and weights are assigned to them to obtain leakage indicator weight coefficients. Then, the collision point attribute parameter set is risk-weighted and assessed in combination with the assessment indicator set and weight coefficients to obtain a collision point leakage risk coefficient set. Finally, based on the risk coefficient set, collision points in the residential collision point set that reach the preset risk coefficient threshold are screened and identified, thereby determining the residential leakage risk point set. This step will be explained in detail in the following content.

[0032] Through the combined operation of BIM software functions and conventional data processing and attribute annotation methods, a set of residential collision points with clear component associations, location information and collision types was accurately obtained, providing accurate and comprehensive basic data support for subsequent targeted leakage risk identification.

[0033] Furthermore, the method provided in this application embodiment includes: A set of leakage risk assessment indicators is constructed, and weights are assigned to the set of leakage risk assessment indicators to obtain leakage indicator weight coefficients; based on the set of leakage risk assessment indicators and the leakage indicator weight coefficients, the set of collision point attribute parameters is risk-weighted to obtain a set of collision point leakage risk coefficients; according to the set of collision point leakage risk coefficients, collision points in the set of residential collision points that reach a preset risk coefficient threshold are screened and identified to determine the set of residential leakage risk points.

[0034] Optionally, firstly, a set of leakage risk assessment indicators is constructed by combining common causes of leakage in prefabricated housing with engineering practice experience. Three core indicators are selected: the impact of component type, the importance of waterproofing at collision locations, and the probability of leakage due to collision type. The impact of component type is set according to the waterproofing difficulty of different components such as precast wall panels, composite slabs, and cast-in-place structures. The importance of waterproofing at collision locations focuses on key waterproofing areas such as exterior walls, multi-water rooms, and pipe joints. The probability of leakage due to collision type corresponds to the possibility of leakage under different collision forms, such as misalignment and excessive gaps. The weights are allocated using an industry-standard expert scoring method. Five to seven technical experts with more than five years of experience in prefabricated building waterproofing construction are invited to score the leakage impact of each indicator on a scale of 1 to 10. After calculating the average of the expert scores, the scores of each indicator are normalized to convert them into leakage indicator weight coefficients with a sum of 1, ensuring that the weight allocation conforms to the actual engineering situation.

[0035] Next, for each collision point in the residential collision point set, specific scores are assigned to the corresponding evaluation indicators based on its attribute parameter set. For the component type impact indicator, a base score of 1-5 is assigned based on the type of component involved in the collision, with higher scores indicating higher waterproofing difficulty. For the collision location waterproofing importance indicator, 1-5 points are assigned based on the location's waterproofing level, with key waterproofing areas receiving higher scores than ordinary areas. For the collision type leakage probability indicator, 1-5 points are assigned based on the leakage risk of the collision type, with higher scores indicating higher leakage probability. The scores for each indicator at each collision point are multiplied by the corresponding leakage indicator weighting coefficient, and the products are summed to obtain the leakage risk coefficient for each collision point. The risk coefficients of all collision points are then aggregated to form the final collision point leakage risk coefficient set.

[0036] Finally, referencing the prefabricated building waterproofing construction specifications and risk control standards in engineering practice, a risk coefficient threshold is preset. Typically, the threshold is set to 0.7, a value that can be verified using leakage data from multiple completed projects to effectively distinguish between high-risk and low-risk collision points. Each value in the collision point leakage risk coefficient set is compared with the preset threshold, and collision points with a risk coefficient greater than or equal to 0.7 are individually identified. Simultaneously, the attribute parameters and risk coefficients of these collision points are recorded, ultimately forming a structured set of residential leakage risk points.

[0037] By employing a coherent method that involves constructing indicators based on engineering experience, assigning weights through expert scoring, calculating risk coefficients using weighted averages, and filtering based on thresholds, collision points with high leakage risks in prefabricated housing are accurately identified, providing clear targets for optimizing subsequent construction plans.

[0038] Furthermore, the method provided in this application embodiment includes: Based on the prefabricated housing anti-leakage standard, an anti-leakage construction strategy library is constructed; the housing leakage risk point set is classified into levels according to the collision point leakage risk coefficient set to determine the graded leakage risk point set; based on the anti-leakage construction strategy library, the construction scheme of the graded leakage risk point set is analyzed to obtain the basic housing construction scheme.

[0039] Specifically, firstly, relevant industry standards and specifications for waterproofing prefabricated housing were retrieved and referenced, including technical standards for prefabricated concrete buildings and technical specifications for building waterproofing engineering. Simultaneously, mature engineering cases, technical manuals, and literature on waterproofing construction in prefabricated housing in recent years were collected. Effective waterproofing construction methods were extracted and categorized according to leakage risk response scenarios, component types, and construction process characteristics. For example, strategies such as sealant caulking + grouting reinforcement for wall panel joint leakage, water-swellable waterstop strips + waterproof mortar sealing for composite slab joint leakage, and sleeve sealing + waterproof membrane wrapping for pipe joints were identified. The applicable risk level, construction process, material specifications, and quality control points for each strategy were clearly defined, ultimately constructing a structured waterproofing construction strategy library for easy matching and retrieval based on risk level.

[0040] Subsequently, based on the conventional management standards for leakage risks in engineering practice and the distribution range of leakage risk coefficients at collision points, a three-tiered risk level classification standard was established. A risk coefficient ≥ 0.8 is classified as high risk, 0.5 ≤ risk coefficient < 0.8 as medium risk, and a risk coefficient < 0.5 as low risk. Using Excel data processing tools or the data classification function of BIM software, each collision point in the residential leakage risk point cluster is categorized into high, medium, and low risk levels according to its corresponding leakage risk coefficient. The attribute parameters and risk coefficient of each risk point are also labeled, forming a clearly categorized and complete hierarchical leakage risk point set, ensuring differentiated construction responses for different risk levels.

[0041] Finally, based on the established anti-leakage construction strategy library, strategies were matched for different levels of risk points within the tiered leakage risk point cluster. For high-risk leakage points, the highest-level combined construction strategy was matched, such as component surface treatment + double sealing + grouting reinforcement + water spray testing; for medium-risk points, conventional reinforcement construction strategies were matched, such as component surface treatment + single sealing + waterproof mortar finishing; for low-risk points, basic anti-leakage construction strategies were matched, such as conventional sealing treatment + visual inspection. Subsequently, combining the overall construction process of prefabricated housing, including the sequence of procedures such as component hoisting, cast-in-place pouring, curing, and sealing construction, the construction strategies corresponding to each risk point were integrated according to the construction sequence, clarifying the connection requirements of each procedure, construction time nodes, and quality acceptance standards, ultimately forming a complete basic housing construction plan.

[0042] Through a coherent process based on existing standards, data classification, strategy matching, and BIM simulation, a basic residential construction plan that is precisely adapted to the leakage risk level was formed, providing a scientific basis and data support for the subsequent optimization of the construction plan.

[0043] Furthermore, the method provided in this application embodiment includes: The leakage prevention effect is evaluated based on the simulated parameters of the residential leakage situation to obtain the basic residential leakage prevention effect. If the basic residential leakage prevention effect does not reach the preset leakage prevention effect, a residential construction optimization command is triggered. According to the residential construction optimization command, a residential leakage prevention optimization target is preset. Based on the residential leakage situation simulation parameters and according to the residential leakage prevention optimization target, the basic residential construction plan is optimized to generate a residential construction optimization plan.

[0044] Specifically, firstly, core indicators from the simulated parameters of residential leakage are collected, including quantifiable data such as the number of leakage points, the percentage of the area affected by leakage, the duration of leakage, and the probability of leakage at key points. Referring to industry standards such as the General Specifications for Waterproofing in Building and Municipal Engineering and mature leakage prevention acceptance requirements in engineering practice, preset leakage prevention effectiveness standards are set, specifying specific thresholds such as zero leakage points, a leakage area percentage not exceeding 0.1%, and a leakage probability at key points below 1%. Using a data comparison and analysis method, the extracted simulated parameters are compared one by one with the preset thresholds to comprehensively evaluate whether the basic residential leakage prevention effect meets the standards. If any core indicator fails to meet the preset standards, such as the number of leakage points exceeding zero or the leakage probability at key points exceeding 1%, a residential construction optimization instruction is automatically triggered, notifying relevant technical personnel through pop-up prompts on the BIM collaboration platform or system message pushes.

[0045] Next, upon receiving the residential construction optimization instructions, and based on the simulation parameters that did not meet the standards, targeted optimization goals for residential waterproofing were preset. These optimization goals must be specific, quantifiable, and consistent with the actual project conditions. For example, for cases where leakage points exceed the standard, a goal of completely eliminating all leakage points is set; for cases where the probability of leakage at critical points is too high, a goal of reducing the probability of leakage at critical points to below 0.5% is set. Simultaneously, construction feasibility and economy are considered, specifying auxiliary goals such as not increasing construction costs by more than 10% and not extending the critical construction period during the optimization process, ensuring that the optimization goals focus on solving the leakage problem while also meeting the overall project management requirements.

[0046] Finally, the simulation parameters of residential leakage are optimized and analyzed according to the optimization goals of residential leakage prevention, and the optimization measures for residential leakage prevention are determined. Then, based on the optimization measures, the basic residential construction plan is optimized to obtain multiple construction optimization plans. Finally, these construction optimization plans are simulated and compared to generate a residential construction optimization plan. This step will be explained in detail in the following content.

[0047] Through the aforementioned sequential process of parameter-based evaluation-triggered optimization, precise target setting, and targeted adjustment of the plan, a residential construction optimization plan that adapts to the actual leakage risk and meets the leakage prevention requirements was generated, providing precise and feasible technical guidance for subsequent leakage prevention construction.

[0048] Furthermore, the method provided in this application embodiment includes: The simulation parameters of the residential leakage situation are optimized and analyzed according to the residential leakage prevention optimization objectives to determine the residential leakage prevention optimization measures; the basic residential construction plan is optimized based on the residential leakage prevention optimization measures to obtain multiple construction optimization plans; the multiple construction optimization plans are simulated and compared to generate a residential construction optimization plan.

[0049] Specifically, firstly, key information in the simulated parameters of residential leakage is analyzed, including the distribution of leakage points, leakage probability, leakage impact range, and core causes of leakage, such as insufficient material compatibility, unreasonable construction process parameters, and excessive component installation gaps. Based on the preset optimization goals for residential leakage prevention, a causal analysis method is used to establish the correspondence between simulated parameters and leakage problems, clarifying the root cause of each leakage problem. Combining the technology of prefabricated residential leakage prevention construction, targeted optimization measures for residential leakage prevention are determined: if the simulated parameters show that the leakage originates from poor sealing effect of the sealing material, measures such as replacing with high-performance water-swellable sealant and increasing the thickness of the sealing layer are determined; if the leakage is caused by substandard grouting process, measures such as adjusting the grouting pressure, adopting a secondary grouting process, and extending the grouting curing time are determined; if the leakage is caused by excessive component installation gaps, measures such as optimizing the component installation and positioning process, adding laser calibration steps, and using grouting material to fill the gaps exceeding the tolerance are determined, ensuring that each optimization measure accurately addresses the specific leakage problem.

[0050] Then, the determined residential waterproofing optimization measures were integrated into the basic residential construction plan one by one, forming multiple construction optimization schemes by combining different measures. For example, for a certain type of leakage, Scheme 1 uses a combination of replacing the sealing material and adjusting the construction process; Scheme 2 uses a combination of replacing the sealing material, adding a sealing layer, and optimizing the installation process; and Scheme 3 uses a combination of adjusting the construction process and grouting to fill the gaps. During the optimization process, the details of the construction process adjustment, material specification replacement standards, specific values ​​of process parameters, and connection requirements of each process were clearly defined for each scheme to ensure that each construction optimization scheme is fully feasible and that there are clear differences between the schemes in terms of measure combination, construction difficulty, and cost input, providing a valid basis for subsequent comparison.

[0051] Subsequently, using BIM construction simulation software, multiple optimized construction schemes were imported into the prefabricated residential building BIM model. Uniform simulation environment parameters were set, including construction environment temperature and humidity, allowable range of component installation errors, and material performance parameters, ensuring consistency in simulation conditions. A full-process simulation was performed for each scheme according to the construction flow, recording key evaluation indicators such as the number of leakage points, leakage probability, construction period, and material consumption costs for each scheme. A comprehensive scoring method was used to compare multiple schemes, setting a weighting of 60% for leakage prevention effect, 25% for construction cost, and 15% for construction time. A comprehensive score was calculated for each scheme based on actual data for each indicator. The scheme with the highest comprehensive score and achieving the preset leakage prevention target was selected. If multiple schemes had similar comprehensive scores, the scheme with the better leakage prevention effect was prioritized and ultimately determined as the optimized residential building construction scheme.

[0052] Through the above-mentioned coherent operation of determining measures based on causal analysis, forming multiple schemes by combining measures, and simulating and comparing with unified standards, an optimized residential construction scheme that achieves the required anti-leakage effect while taking into account construction economy and feasibility was generated, providing precise and efficient technical support for the anti-leakage construction of prefabricated houses.

[0053] Furthermore, the method provided in this application embodiment includes: The residential construction optimization scheme is used to carry out residential waterproofing construction and process monitoring to obtain feedback on the residential waterproofing construction; based on the feedback on the residential waterproofing construction, the residential construction optimization scheme is optimized and modified, and the waterproofing construction is controlled through the modified residential construction optimization scheme.

[0054] In one embodiment, firstly, detailed construction execution rules are formulated based on the residential construction optimization plan, clarifying the construction sequence, process parameters, material usage standards, and quality acceptance requirements for each process, guiding construction personnel in carrying out prefabricated residential waterproofing construction. Simultaneously, a process monitoring method combining manual inspection and intelligent monitoring is adopted. Manual inspection is conducted in stages according to the construction progress by professional construction quality inspectors, focusing on key processes such as sealing treatment of critical nodes, grout density, and component installation accuracy, recording construction status using conventional methods such as visual observation and measurement. Intelligent monitoring utilizes commonly used leakage sensors, pressure sensors, and temperature and humidity sensors, deployed at easily leaking locations such as exterior wall joints, pipe joints, and composite slab connections, collecting real-time data such as leakage signals, construction environment temperature and humidity, and grouting pressure. The monitoring data is synchronized to the BIM collaborative management platform via a wireless transmission module, enabling dynamic tracking of the construction process. Combining manual inspection records and intelligent monitoring data, a residential waterproofing construction feedback report is compiled, including information on process execution status, quality inspection results, monitoring data trends, existing problems, and their locations.

[0055] Next, based on the collected feedback on residential waterproofing construction, a data comparison and analysis method was used to compare the actual construction data with the preset standards in the residential construction optimization plan one by one to locate construction deviations and potential leakage hazards. If the feedback showed that the sealant filling at a certain node was not dense, the analysis, combined with on-site inspection records and sensor data, determined that it was caused by improper construction operations or unreasonable process parameters. The targeted optimization and correction measures were to adjust the sealant injection pressure, increase the number of fillings, and add a compaction process. If a slight leakage signal was detected in a certain area, it was determined that the component installation gaps exceeded the standard. The correction measures were to fill the gaps with special grouting material and add a sealing layer. The optimized and corrected construction details were updated into the residential construction optimization plan to form a revised residential construction optimization plan, which was then pushed to the construction team through the BIM collaboration platform to guide subsequent waterproofing construction control. For construction parts with deviations, rework was carried out according to the revised plan; for parts that had not yet been constructed, the revised plan was directly implemented to ensure that the entire construction process always adhered to the optimization goals.

[0056] Through the above steps, dynamic closed-loop management of prefabricated housing waterproofing construction was achieved, effectively avoiding the risk of leakage caused by construction deviations and ensuring the stable implementation of waterproofing construction results.

[0057] In summary, the BIM-based construction optimization method for waterproofing prefabricated residential buildings provided in this application has the following technical effects: This application builds a BIM model by collecting prefabricated residential drawings, identifies leakage risk points through collision detection, and generates a basic construction plan by combining a strategy library with anti-leakage standards. After simulation and optimization, an optimized construction plan is obtained, and the plan is corrected by synchronous construction monitoring feedback. This achieves precise anti-leakage control and realizes the technical effect of improving the reliability and stability of anti-leakage construction through dynamic control.

[0058] Example 2, as Figure 2 As shown, based on the same inventive concept as in Embodiment 1 above, this application provides a BIM-based prefabricated residential building waterproofing construction optimization device, the device comprising: The residential BIM model building module 1 is used to collect the design drawing information of the target prefabricated residential building, perform BIM modeling based on the design drawing information of the target prefabricated residential building, and build a prefabricated residential building BIM model.

[0059] The residential leakage risk point set acquisition module 2 is used to perform collision detection on the prefabricated residential BIM model, obtain the residential collision detection results, and determine the residential leakage risk point set based on the residential collision detection results.

[0060] The residential leakage parameter acquisition module 3 analyzes the construction plan based on the residential leakage risk point set to obtain the basic residential construction plan, and simulates the construction process through the basic residential construction plan to obtain the residential leakage simulation parameters.

[0061] The residential waterproofing execution module 4 optimizes the basic residential construction plan based on the simulated parameters of the residential leakage situation, generates a residential construction optimization plan, and controls the residential waterproofing construction through the residential construction optimization plan.

[0062] Furthermore, the residential leakage risk point acquisition module 2 is used to perform the following steps: The collision points of the residential buildings are extracted from the collision detection results to obtain a set of residential collision points; the collision point set is attribute-identified to obtain a set of collision point attribute parameters, which includes component type, collision location and collision type; based on the collision point attribute parameter set, the set of residential collision points is used to identify leakage risks and determine a set of residential leakage risk points.

[0063] Furthermore, the residential leakage risk point acquisition module 2 is used to perform the following steps: A set of leakage risk assessment indicators is constructed, and weights are assigned to the set of leakage risk assessment indicators to obtain leakage indicator weight coefficients; based on the set of leakage risk assessment indicators and the leakage indicator weight coefficients, the set of collision point attribute parameters is risk-weighted to obtain a set of collision point leakage risk coefficients; according to the set of collision point leakage risk coefficients, collision points in the set of residential collision points that reach a preset risk coefficient threshold are screened and identified to determine the set of residential leakage risk points.

[0064] Furthermore, the residential leakage parameter acquisition module 3 is used to perform the following steps: Based on the prefabricated housing anti-leakage standard, an anti-leakage construction strategy library is constructed; the housing leakage risk point set is classified into levels according to the collision point leakage risk coefficient set to determine the graded leakage risk point set; based on the anti-leakage construction strategy library, the construction scheme of the graded leakage risk point set is analyzed to obtain the basic housing construction scheme.

[0065] Furthermore, the residential waterproofing module 4 is used to perform the following steps: The leakage prevention effect is evaluated based on the simulated parameters of the residential leakage situation to obtain the basic residential leakage prevention effect. If the basic residential leakage prevention effect does not reach the preset leakage prevention effect, a residential construction optimization command is triggered. According to the residential construction optimization command, a residential leakage prevention optimization target is preset. Based on the residential leakage situation simulation parameters and according to the residential leakage prevention optimization target, the basic residential construction plan is optimized to generate a residential construction optimization plan.

[0066] Furthermore, the residential waterproofing module 4 is used to perform the following steps: The simulation parameters of the residential leakage situation are optimized and analyzed according to the residential leakage prevention optimization objectives to determine the residential leakage prevention optimization measures; the basic residential construction plan is optimized based on the residential leakage prevention optimization measures to obtain multiple construction optimization plans; the multiple construction optimization plans are simulated and compared to generate a residential construction optimization plan.

[0067] Furthermore, the residential waterproofing module 4 is used to perform the following steps: The residential construction optimization scheme is used to carry out residential waterproofing construction and process monitoring to obtain feedback on the residential waterproofing construction; based on the feedback on the residential waterproofing construction, the residential construction optimization scheme is optimized and modified, and the waterproofing construction is controlled through the modified residential construction optimization scheme.

[0068] The BIM-based prefabricated housing waterproofing construction optimization device provided in this embodiment of the invention can execute the BIM-based prefabricated housing waterproofing construction optimization method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0069] Although this application makes various references to certain modules in the apparatus according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not intended to limit the scope of protection of this invention.

[0070] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application. In some cases, the actions or steps described in this application can be performed in a different order than that shown in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A BIM-based optimization method for waterproofing construction of prefabricated residential buildings, characterized in that, The method includes: Collect the design drawings of the target prefabricated residential building, perform BIM modeling based on the design drawings of the target prefabricated residential building, and build a BIM model of the prefabricated residential building. Collision detection is performed on the prefabricated residential building BIM model to obtain the residential building collision detection results, and the set of residential building leakage risk points is determined based on the residential building collision detection results; Based on the set of residential leakage risk points, the construction plan is analyzed to obtain the basic residential construction plan, and the construction process is simulated through the basic residential construction plan to obtain the simulation parameters of residential leakage. Based on the simulated parameters of the residential leakage situation, the basic residential construction plan is optimized to generate an optimized residential construction plan, and the residential leakage prevention construction is controlled through the optimized residential construction plan.

2. The BIM-based optimized construction method for waterproofing prefabricated residential buildings as described in claim 1, characterized in that, Identify the set of residential leakage risk points, including: The collision points are extracted from the collision detection results of the residential buildings to obtain a set of residential collision points; The collision point set of the residential buildings is attribute-identified to obtain a collision point attribute parameter set, which includes component type, collision location and collision type. Based on the set of collision point attribute parameters, the set of residential collision points is used to identify leakage risks and determine the set of residential leakage risk points.

3. The BIM-based optimized construction method for waterproofing prefabricated residential buildings as described in claim 2, characterized in that, Based on the set of attribute parameters of the collision points, the set of residential collision points is used to identify leakage risks, and the set of residential leakage risk points is determined, including: Construct a set of leakage risk assessment indicators, and assign weights to the set of leakage risk assessment indicators to obtain the weight coefficients of the leakage indicators. Based on the leakage risk assessment index set and the leakage index weighting coefficient, the collision point attribute parameter set is risk-weighted to obtain the collision point leakage risk coefficient set. According to the set of collision point leakage risk coefficients, collision points in the residential collision point set that reach the preset risk coefficient threshold are screened and identified to determine the residential leakage risk point set.

4. The BIM-based optimized construction method for waterproofing prefabricated residential buildings as described in claim 3, characterized in that, Obtain the basic residential construction plan, including: Based on the standards for waterproofing prefabricated housing, a database of waterproofing construction strategies was developed. The residential leakage risk point set is classified into different levels according to the collision point leakage risk coefficient set to determine the graded leakage risk point set. Based on the aforementioned anti-leakage construction strategy library, the construction scheme is analyzed for the graded leakage risk point set to obtain the basic residential construction scheme.

5. The BIM-based optimized construction method for waterproofing prefabricated residential buildings as described in claim 1, characterized in that, Generate optimized construction plans for residential buildings, including: The leakage prevention effect is evaluated by simulating the leakage situation of the residential building to obtain the basic leakage prevention effect of the residential building. If the basic leakage prevention effect of the residential building does not reach the preset leakage prevention effect, the residential construction optimization command is triggered. Based on the residential construction optimization instructions, preset residential anti-leakage optimization targets; Based on the residential leakage prevention optimization objectives and the simulated parameters of the residential leakage situation, the basic residential construction plan is optimized to generate a residential construction optimization plan.

6. The BIM-based optimized construction method for waterproofing prefabricated residential buildings as described in claim 5, characterized in that, Based on the residential leakage prevention optimization objectives and the simulated parameters of the residential leakage situation, the basic residential construction plan is optimized to generate a residential construction optimization plan, including: Based on the aforementioned residential waterproofing optimization objectives, the simulation parameters of the residential leakage situation are optimized and analyzed to determine the residential waterproofing optimization measures. Based on the aforementioned residential waterproofing optimization measures, the basic residential construction plan was optimized to obtain multiple optimized construction plans; The multiple construction optimization schemes are simulated and compared to generate a residential construction optimization scheme.

7. The BIM-based optimized construction method for waterproofing prefabricated residential buildings as described in claim 1, characterized in that, The residential construction optimization scheme includes controlling water leakage during construction, including: The residential waterproofing construction was carried out using the aforementioned residential construction optimization scheme, and the process was monitored to obtain feedback on the residential waterproofing construction. Based on the feedback from the residential waterproofing construction, the residential construction optimization plan is optimized and revised, and the waterproofing construction is controlled through the revised residential construction optimization plan.

8. A BIM-based optimization device for waterproofing construction of prefabricated residential buildings, characterized in that, The apparatus for implementing the BIM-based prefabricated residential building waterproofing construction optimization method according to any one of claims 1-7, the apparatus comprising: The residential BIM model building module is used to collect the design drawing information of the target prefabricated residential building, perform BIM modeling based on the design drawing information of the target prefabricated residential building, and build a prefabricated residential building BIM model. The residential leakage risk point set acquisition module is used to perform collision detection on the prefabricated residential BIM model, obtain the residential collision detection results, and determine the residential leakage risk point set based on the residential collision detection results. The residential leakage parameter acquisition module analyzes the construction plan based on the residential leakage risk point set to obtain the basic residential construction plan, and simulates the construction process through the basic residential construction plan to obtain the residential leakage simulation parameters. The residential waterproofing execution module optimizes the basic residential construction plan based on the simulated parameters of the residential waterproofing situation, generates an optimized residential construction plan, and controls the residential waterproofing construction through the optimized residential construction plan.

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