A BIM-based optimization method for the synchronous lifting of MEP (Mechanical, Electrical, and Piping) lines with the steel platform

Abstract

This invention discloses a BIM-based method for the synchronous lifting and management of electromechanical pipelines along a steel platform, relating to the field of civil engineering construction technology. Through integrated BIM modeling and multi-dimensional verification, this invention proactively eliminates spatial collisions between pipelines and the steel structure, precisely designs the support system and calculates stress parameters, achieving millimeter-level installation accuracy. It monitors lifting synchronization, pipeline posture, and support stress in real time. Finite element structural mechanics simulation and prediction improve the rationality of electromechanical pipeline distribution, rapidly triggering tiered control in case of anomalies, significantly reducing high-altitude operations and safety risks, while simultaneously improving construction efficiency. It integrates full-process data and links it to the BIM model to form traceable operation and maintenance records, reserves reasonable operation and maintenance space, and establishes a two-way data query link, providing precise support for later inspection and maintenance, thus achieving synchronous optimization of the entire lifecycle of construction and operation and maintenance.

Description

Technical Field

[0001] This invention relates to the field of civil engineering construction technology, and in particular to a BIM-based method for the management and optimization of electromechanical pipelines that are simultaneously lifted along with a steel platform. Background Technology

[0002] Traditional hoisting and installation of electromechanical pipelines in tall, open spaces is highly susceptible to environmental factors and prone to safety accidents. Furthermore, after the concrete is poured on the roof of the building, the transport and installation of these pipelines relies on full-scale scaffolding, which is inefficient (erecting and dismantling scaffolding often takes up to six months), costly (pipeline installation requires transporting goods on scaffolding, limiting the volume to small batches and impacting installation efficiency), unsafe (high risk of falls from heights for goods and personnel), and prone to quality issues (poor installation quality due to the aforementioned factors or rushed work).

[0003] Traditional construction methods lack integrated digital modeling tools, making it prone to spatial collisions between pipelines and steel structures, requiring on-site rectification and causing project delays. Support system design relies on experience-based judgment without finite element simulation calculations, easily leading to structural deformation or safety hazards due to uneven stress. The lack of real-time monitoring and dynamic control mechanisms during lifting makes it difficult to detect problems such as poor synchronization of lifting points and pipeline deviations in a timely manner, highlighting the risks of high-altitude operations. Furthermore, construction data is stored in a scattered manner without a unified management system, resulting in a lack of accurate data support for later operation and maintenance, leading to low maintenance efficiency. Existing BIM technology applications are mostly limited to collision detection, failing to deeply integrate lifting parameter calculations, on-site monitoring, and operation and maintenance data management, making it difficult to meet the control requirements of large-span, high-precision synchronous lifting. Summary of the Invention

[0004] The purpose of this invention is to provide a BIM-based method for the synchronous lifting of electromechanical pipelines along with a steel platform, thereby reducing safety risks and improving efficiency and shortening the construction period through the addition of auxiliary positioning plates, design of auxiliary beams, and calculation of stress in the BIM model, combined with virtual reality visual inspection. This solves the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A BIM-based optimization method for the management and control of MEP (Mechanical, Electrical, and Pipeline) systems that are simultaneously lifted with the steel platform includes the following steps: An integrated structural BIM model is constructed based on the design parameters of the steel platform and electromechanical pipelines. The key parameters of the integrated structural BIM model are calculated and simulated simultaneously to obtain an optimized BIM model. After the steel structure is installed, a 3D laser scanner is used to scan the existing steel platform structure to obtain 3D point cloud data of the structure. This data is then combined with the optimized electromechanical pipeline BIM sub-model for spatial alignment and overlay to form a BIM and entity scanning fusion model. The consistency between the actual route of the electromechanical pipelines, the support anchorage position, the interface coordinates and the BIM model is compared segment by segment. If there is any deviation, the rectification is completed on the ground until the acceptance is qualified, so as to achieve the preliminary acceptance of the BIM combined entity scan of the steel platform solid structure and electromechanical pipelines. Based on the aforementioned key parameters, deploy on-site sensors and data acquisition networks, build an on-site management and control system based on the deployed on-site sensors and data acquisition networks, and interact with the data of the optimized BIM model; Based on the real-time monitoring data collected by the on-site control system, combined with the dynamic mapping of the optimized BIM model, the monitoring and control of the synchronous improvement process is carried out. If an anomaly is detected, the control mechanism is triggered. Based on the design benchmarks of the optimized BIM model, the improved results are subject to BIM acceptance, and the data from the entire process are integrated, classified, and stored.

[0006] Furthermore, the integrated structural BIM model includes an electromechanical pipeline BIM sub-model and a steel platform BIM sub-model, and the specific process is as follows: Acquire design parameters and material mechanical properties data for electromechanical pipelines; collect structural dimensions, load bearing parameters, and lattice column distribution data for the steel platform; and collect topographic elevation and historical temperature variation data for the site environment. Based on the design parameters and material mechanical properties data of the electromechanical pipelines, a BIM sub-model of the electromechanical pipelines is constructed. Based on the structural dimensions, load bearing parameters and lattice column distribution data of the steel platform, a BIM sub-model of the steel platform is constructed. Import the BIM sub-model of electromechanical pipelines and the BIM sub-model of steel platform into the same modeling environment. According to the synchronous lifting requirements, spatial alignment is performed with the main beam axis of the steel platform as the reference to form a preliminary integrated structural BIM model. Identify spatial collision points in the preliminary integrated structural BIM model, perform collision detection based on the identification results, and adjust the routing of electromechanical pipelines or optimize the position of auxiliary beams of the steel platform according to the detection results to complete the collision resolution. The key parameters are synchronously improved and associated with the corresponding components of the integrated structural BIM model, thus forming the basic model of the integrated structural BIM model.

[0007] Furthermore, the steel platform BIM sub-model also includes: Based on the BIM sub-model of the steel platform, and combined with the stress requirements of the auxiliary beams in the key parameters of synchronous lifting, the scope of addition and design basis of the auxiliary positioning plate and the auxiliary beams for the installation of electromechanical pipelines are determined. Based on the anchoring position of the pipeline support in the BIM sub-model of electromechanical pipelines and the requirements of secondary welding operations, auxiliary positioning plates are added at the preset positions of the main beams in the BIM sub-model of the steel platform; the dimensions of the auxiliary positioning plates and the welding node parameters are determined based on the material mechanical property data. Based on the specifications and total weight data of the electromechanical pipelines, and combined with the stress parameters of the auxiliary beams in the key parameters of synchronous lifting, auxiliary beams for electromechanical pipeline installation are added between the main beams of the steel platform BIM sub-model; the arrangement spacing of the auxiliary beams is determined according to the pipeline span and support spacing requirements, and the fixing method is selected to associate the auxiliary beams with the main beam nodes of the steel platform BIM sub-model. Based on the material mechanics data, the stress calculation of the steel platform structure after the addition of auxiliary positioning plates and auxiliary beams for electromechanical pipeline installation is carried out. The stress distribution and vertical deformation of the structure during synchronous lifting are simulated to determine whether the maximum stress ratio and maximum vertical deformation meet the steel structure design specifications. If the judgment result meets the steel structure design specifications, the added auxiliary positioning plate, the auxiliary beam for installing electromechanical pipelines, and the calculated stress parameters will be updated to the steel platform BIM sub-model to form a steel platform BIM sub-model including auxiliary components; if the judgment result does not meet the design specifications for electromechanical systems in steel structures, the size of the auxiliary positioning plate or the spacing of the auxiliary beams will be adjusted, and the stress calculation will be re-performed until the result is qualified.

[0008] Furthermore, if the judgment result does not meet the design specifications for electromechanical systems in steel structures, adjusting the size of the auxiliary positioning plate or the spacing of the auxiliary beams includes: Using technologies not limited to 3D laser scanning, the physical structure of the auxiliary positioning plate, electromechanical pipelines, installation auxiliary beams and corresponding pipeline supports in various local areas within the steel platform is scanned to obtain the physical position data of the auxiliary positioning plate and auxiliary beams, generate a physical scanning model, and further overlay and integrate the electromechanical BIM virtual model for verification. Based on the verification model of the fusion of local BIM and solid scanning, check whether the welding position of the auxiliary positioning plate, the arrangement spacing of the auxiliary beams, and the connection nodes between the supports and the auxiliary beams meet the design requirements of the BIM model. If inconsistencies are found in the local construction, the local area is rectified on the ground. After the rectification is completed, the above scan is performed again for comparison until the electromechanical reality model of each local construction is completely consistent with the BIM virtual model. It is then judged as qualified. The form of verifying the electromechanical system by combining virtual and reality includes any one of BIM+VR, BIM+AR or BIM+MR. After the local BIM and entity scanning fusion verification model passes the verification, based on the steel platform BIM sub-model including auxiliary components and the verified electromechanical pipeline BIM sub-model, the stress simulation verification, lifting trajectory simulation verification and operation and maintenance space simulation verification of the synchronous lifting key parameter association are performed. Discretize the integrated structural BIM model to obtain multiple model elements; Assemble the overall stiffness matrix based on material properties; Solve the displacement equations based on the overall stiffness matrix; Calculate the stress of each model element based on the solution results of the displacement equation, and identify the maximum stress ratio; Calculate the deflection-span ratio based on the deflection at key points; Determine whether the judgment result meets the steel structure design code based on the maximum stress ratio and deflection-span ratio. If it does not meet the code, identify the model element set of the high stress region. Based on the model element set of the high-stress region, the optimization objective function is calculated, and the auxiliary beam section parameters are used as design variables. The optimized section parameters are output through gradient descent iteration. Based on the optimized cross-sectional parameters, determine the adjustment strategy for the size of the auxiliary positioning plate or the spacing of the auxiliary beams.

[0009] Furthermore, the process of simultaneously improving the calculation and simulation verification of key parameters includes: Based on the BIM sub-model of the steel platform including auxiliary components and the BIM sub-model of electromechanical pipelines, the total weight of the integrated structure and the connection node parameters of each component in the integrated structure are extracted. Based on the extracted results, key parameters for synchronous lifting are calculated. Based on the calculation results, an integrated structural synchronous lifting working condition simulation model is constructed, and force simulation verification, lifting trajectory simulation verification, and operation and maintenance space simulation verification are carried out. If the simulation verification results are all qualified, the synchronously improved key parameters will be associated with the corresponding components of the optimized BIM model to generate the association relationship between the key parameters and the BIM model. If there are any non-compliant items in the simulation verification results, the key parameter calculation and simulation verification will be repeated until all verification items are qualified. Based on the correlation, the optimized BIM model and the corresponding synchronous improvement key parameters will be determined.

[0010] Furthermore, an on-site management and control system will be established, specifically including: Based on the synchronous improvement of key parameters and the optimized BIM model, the hardware configuration requirements and data interaction standards of the on-site control system are determined. According to the hardware configuration requirements, resistive displacement sensors are deployed at the lifting points of the steel platform BIM sub-model, verticality detection sensors are deployed at key nodes of electromechanical pipelines, and stress sensors are deployed at the connection nodes between auxiliary beams and main beams. Data acquisition nodes are deployed based on the sensor deployment locations, and a distributed network architecture is adopted to connect multiple data acquisition nodes to the core data gateway. The software platform for the on-site control system is built based on the data interaction standard. It performs bidirectional data interaction with the optimized BIM model, visualizes the monitoring data collected by the sensors, dynamically maps the improvement status of the integrated structure, and compares it with the theoretical status of the optimized BIM model in real time. The on-site control system was simulated, debugged, and verified to complete the construction of the on-site control system.

[0011] Furthermore, the monitoring and control process during the synchronous improvement process includes: The monitoring data is based on the real-time collection of data from various sensors by the on-site control system, including the displacement data of the suspension point of the resistive displacement sensor, the pipeline attitude data of the verticality detection sensor, and the force data of the support system of the stress sensor. At each critical height node, a 3D laser scanner is used to scan the current state of the integrated structure and generate a dynamic reality model. The dynamic reality model and the optimized BIM model are imported into the site management system to perform graphic similarity analysis, calculate model overlap, key point coordinate deviation and pipeline axis similarity, and identify whether there is a risk of collision or installation position deviation caused by pipeline slippage. The real-time collected monitoring data and image similarity analysis results are transmitted to the optimized BIM model to obtain the actual lifting position, attitude angle and force state data. The actual state is compared with the theoretical lifting trajectory of the BIM model to generate real-time deviation data. Based on real-time deviation data, multi-dimensional monitoring and analysis are conducted in conjunction with synchronous improvement of key parameters. Anomalies are determined based on the monitoring and analysis results, and corresponding control mechanisms are triggered according to the type and severity of the anomalies.

[0012] Furthermore, anomaly detection based on monitoring and analysis results also includes: Once an abnormality is detected, the corresponding cause of the abnormality is matched based on real-time deviation data and the component connection relationship of the integrated structure in the optimized BIM model. Based on the matching results of the anomaly causes, on-site verification was carried out on the corresponding components. At the same time, the accuracy of the anomaly causes was verified by combining the design benchmarks of the components in the BIM sub-model of the steel platform. If the on-site inspection confirms the cause of the anomaly, a corresponding control plan will be formulated based on the stress parameters constructed in the steel platform BIM sub-model; if the on-site inspection does not confirm the cause of the anomaly, monitoring data will be collected again. After executing the corresponding control scheme, restart the synchronous monitoring process, compare the secondary monitoring data with the preset allowable range of the synchronous monitoring key parameters, and determine whether the anomaly has been eliminated. If the secondary monitoring results show that the anomaly has been eliminated, continue the synchronous lifting operation; if the anomaly has not been eliminated, re-evaluate the cause of the anomaly until the anomaly is completely eliminated. At the same time, the results of anomaly cause identification, on-site verification records, control plan content and secondary monitoring conclusions are linked to the source traceability file of the improvement process to form a full record of anomaly handling.

[0013] Furthermore, based on the matching results of the anomaly causes, on-site verification is conducted on the corresponding components, including: Use the component corresponding to the anomaly cause matching result as the first target component; The second target component that has an abnormal correlation analysis relationship with the first target component is classified together with the corresponding first target component into the same target cluster; Determine a local BIM model containing all target clusters corresponding to the first and second target components; The highest altitude of the first or second target component in the target cluster above the ground is taken as the associated altitude of the corresponding target cluster. Obtain the anomaly confidence level of the first target component; Calculate the verification priority value of the first target component based on the anomaly confidence level and the association height of the target cluster to which the first target component belongs; In the local BIM model, verification paths are planned in order of verification priority from low to high. During planning, each target cluster corresponds to a local verification path, and path points on the local verification path are associated with BIM trigger tiles. The local verification path and the BIM trigger tiles associated with the path points are set according to the verification strategy corresponding to the target cluster. On-site personnel were dispatched to conduct corresponding verifications based on the verification path. During the verification process, the real-time location and action set of on-site personnel are obtained; Based on the triggering mechanism of the BIM trigger slice associated with the path point corresponding to the real-time location, determine whether the real-time action set meets the triggering conditions of the corresponding BIM trigger slice. If so, send the corresponding BIM trigger slice to the communication terminal of the on-site personnel.

[0014] Furthermore, the process of BIM acceptance of the improved results includes: Based on the optimized BIM model, target control benchmark data is extracted, including the coordinates of electromechanical pipeline interfaces, the elevation of the steel platform, and the stress limits of the support system; Based on the target control benchmark data, the accuracy of electromechanical pipeline interfaces, the location of steel platforms, and the support system are inspected. The inspection data are then compared with the target control benchmark data to generate an acceptance result. The data from each dimension that has passed the acceptance test are linked to the corresponding components in the optimized BIM model to obtain the actual installation parameters in the BIM model. The acceptance records are then integrated into the full-process data of operation and maintenance data management to generate an acceptance report for the improvement results.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This invention utilizes integrated BIM modeling and multi-dimensional verification to proactively resolve spatial collisions between pipelines and steel structures. It precisely designs the support system and calculates stress parameters, achieving millimeter-level installation accuracy. Real-time monitoring enhances synchronization, pipeline posture, and support stress. Finite element structural mechanics simulation and prediction improve the rationality of electromechanical pipeline distribution. In case of anomalies, it rapidly triggers tiered control, significantly reducing high-altitude operations and safety risks while improving construction efficiency. Furthermore, it integrates full-process data and links it to the BIM model to create traceable operation and maintenance records, reserves reasonable operation and maintenance space, and establishes a two-way data query link, providing precise support for later inspection and maintenance. This achieves synchronous optimization of the entire lifecycle of construction and operation and maintenance. Attached Figure Description

[0016] Figure 1 This is a flowchart of the control optimization method of the present invention; Figure 2 This is a flowchart of the steel platform BIM sub-model construction process of the present invention; Figure 3 This is a flowchart illustrating the deployment and monitoring process of the resistive displacement sensor of the present invention. Figure 4 This is a schematic diagram of the circuit principle of the sliding rheostat of the present invention; Figure 5 This is a comparison diagram of positional deviation and normal position during the lifting process of this invention; Figure 6 This is a schematic diagram of the UAV inspection steel platform structure of the present invention; Figure 7 This is a schematic diagram showing the tilt comparison of the steel platform structure for UAV detection according to the present invention; Figure 8 This is a block diagram illustrating the principle of attitude deviation monitoring during the lifting process of the present invention. Figure 9 This is a schematic diagram of the working state of the sliding rheostat of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figures 1-9 The BIM-based management and optimization method for the synchronous lifting of electromechanical pipelines along with the steel platform includes the following steps: BIM modeling optimization is carried out based on the design parameters of the steel platform and electromechanical pipelines, including the specifications of electromechanical pipelines, structural parameters of the steel platform and lifting requirements. An integrated structural BIM model is constructed, and the key parameters of the integrated structural BIM model are calculated and simulated simultaneously, including collision resolution, support system design and operation and maintenance space optimization, to obtain the optimized BIM model. Preliminary acceptance of the steel platform's physical structure and electromechanical pipelines using BIM+MR: After the steel structure is installed, the completed steel platform physical structure is scanned using a 3D laser scanner and other real-scene acquisition equipment to obtain 3D point cloud data of the physical structure and import it into a dedicated acceptance APP; the optimized electromechanical pipeline BIM sub-model is imported into the APP and spatially aligned and superimposed with the steel platform real-scene model to form a BIM and physical scan fusion model. The fusion presentation form is not limited to BIM+MR, and any visualization form such as BIM+VR, BIM+AR, or BIM+MR can be selected according to the on-site acceptance requirements, among which BIM+MR is the optimal adaptation form under the current technical conditions; By using the fusion model projected by the acceptance APP, the consistency between the actual route of the electromechanical pipelines, the support anchoring position, the interface coordinates and the BIM model is compared segment by segment. If any discrepancies such as spatial position deviation or misaligned connection nodes are found, the corresponding components are rectified on the ground. After rectification, the real scene is collected and the model is fused and compared again until all acceptance points meet the BIM model design benchmark, and the preliminary acceptance is deemed qualified. The on-site control system is constructed by deploying on-site sensors and a data acquisition network based on the key parameters, building the on-site control system based on the deployed on-site sensors and data acquisition network, and interacting with the data of the optimized BIM model. Synchronous improvement monitoring: Based on the monitoring data collected in real time by the on-site management and control system, combined with the dynamic mapping of the optimized BIM model, the synchronous improvement process is monitored and controlled. If an anomaly is detected, the control mechanism is triggered. Operation and maintenance data management involves conducting BIM acceptance of the improved results based on the design benchmark of the optimized BIM model, using digital acceptance methods to confirm the accuracy of pipeline interfaces and system functions, and integrating, classifying and storing the data throughout the entire process. In this embodiment, the process of BIM acceptance of the improvement results includes: Based on the optimized BIM model, target control benchmark data is extracted, including the coordinates of electromechanical pipeline interfaces such as the center coordinates of duct flanges and pipe interfaces, the elevation of the steel platform such as the elevation of the chord beam of the steel platform after it is lifted into place, and the stress limit of the support system such as the maximum allowable stress of the auxiliary beam. Based on the target control benchmark data, the accuracy of electromechanical pipeline interfaces, the location of steel platforms, and the support system are inspected. The inspection data are compared with the target control benchmark data to generate an acceptance judgment result: if all deviations of the inspection items are within the allowable range and the functional tests (air leakage, water pressure) are qualified, the improvement results are judged to be qualified; if any inspection item is unqualified, the control mechanism is returned to adjust the integrated structure position or repair the components, and the inspection is repeated. The data from each dimension that has passed the acceptance test, such as interface deviation values, elevation deviation, stress data, and functional test results, are associated with the corresponding components in the optimized BIM model to obtain the actual installation parameters in the BIM model. The acceptance records, including test reports and comparison results, are then integrated into the entire process data of operation and maintenance data management to generate an improvement result acceptance report.

[0019] In this embodiment, an integrated structural BIM model is constructed by integrating the design parameters of the steel platform and electromechanical pipelines. Simultaneously, simulation verifications such as key parameter calculations and collision resolution, support system design, and operation and maintenance space optimization are carried out to achieve synergistic adaptation between structural design and functional requirements. This breaks the limitations of traditional separate design, improves the rationality of structural design, establishes a site management system, and creates a data interaction channel with the optimized BIM model. This enables interconnection between real-time site data and design model data. Based on the real-time monitoring data collected by the site management system and combined with the dynamic mapping of the optimized BIM model, full-process monitoring and anomaly warning of the synchronous lifting process are carried out, triggering targeted control mechanisms to achieve dynamic and precise control of the lifting process and ensure safe and stable construction progress. Digital acceptance is carried out based on the optimized BIM model, and the acceptance data is associated with the corresponding components of the model. The data of the entire process is integrated to form a closed-loop management, achieving seamless connection between acceptance results and operation and maintenance data, improving the accuracy of acceptance and the convenience of subsequent operation and maintenance.

[0020] In this embodiment, the integrated structural BIM model includes an electromechanical pipeline BIM sub-model and a steel platform BIM sub-model. The specific process is as follows: Acquire design parameters and material mechanical properties data for electromechanical pipelines; collect structural dimensions, load bearing parameters, and lattice column distribution data for the steel platform; and collect topographic elevation and historical temperature variation data for the site environment. Specifically, this includes obtaining the material of the electromechanical pipelines, such as PIR composite air ducts and galvanized steel pipes; specifications, such as 1600×800mm air ducts and DN150 pipes; total weight and spatial orientation data; and the structural type of the steel platform, such as steel frame-reticulated shell structure; span; elevation; main beam cross-sectional dimensions; and preset lifting point positions. Based on the design parameters and material mechanical properties data of the electromechanical pipelines, a BIM sub-model of the electromechanical pipelines is constructed, and the coordinates of key components such as pipeline interface positions and air valves are marked. Based on the structural dimensions, load bearing parameters and lattice column distribution data of the steel platform, a BIM sub-model of the steel platform is constructed, and the main beam nodes, the preset positions of the auxiliary beams and the stress nodes of the lifting points are marked. The mechanical and electrical pipeline BIM sub-model and the steel platform BIM sub-model are imported into the same modeling environment. Based on the avoidance principle of non-pressurized pipes yielding to pressurized pipes, small pipes yielding to large pipes, and non-insulated pipes yielding to insulated pipes, as well as the layered layout requirements, the two sub-models are spatially coupled. According to the synchronous lifting requirements, the main beam axis of the steel platform is used as the reference for spatial alignment to form a preliminary integrated structural BIM model. Identify spatial collision points in the preliminary integrated structural BIM model, and conduct multi-disciplinary collision detection based on the identification results, including collisions between pipelines, pipelines and main beams of the steel platform, and pipelines and operation and maintenance space. Adjust the routing of electromechanical pipelines or optimize the position of auxiliary beams of the steel platform according to the detection results to complete the collision resolution. Key parameters will be improved in sync, such as the stress parameters of the No. 10 square steel auxiliary beam of the support system and the spacing of pipeline supports, and will be associated with the corresponding components of the integrated structural BIM model, including auxiliary beams, supports and pipeline units, to provide parameter support for subsequent simulation and verification, and finally form the basic model of the integrated structural BIM model.

[0021] Please see Figure 2 In this embodiment, the steel platform BIM sub-model further includes: Obtain the basis for addition: Based on the BIM sub-model of the steel platform, including the main beam node and the force node data of the lifting point, combined with the auxiliary beam force requirements in the key parameters of synchronous lifting, such as pipeline load and lifting reaction force data, determine the scope and design basis for the addition of auxiliary positioning plates and electromechanical pipeline installation auxiliary beams. Add auxiliary positioning plates: Based on the anchoring position of pipeline supports in the BIM sub-model of electromechanical pipelines and the requirements of secondary welding operations, add auxiliary positioning plates at the preset positions of the main beams in the BIM sub-model of the steel platform. Based on the material mechanical properties data, namely the strength parameters of the main beam of the steel platform, the dimensions, thickness, area and welding node parameters of the auxiliary positioning plate are determined to ensure that the connection strength between the positioning plate and the main beam of the steel platform is compatible with the pipeline support installation load. In this embodiment, if welding is not permitted on the main beam of the steel platform, clamps are used instead of welding for fixing. This includes connecting the auxiliary beam to the main beam via clamps, and connecting the electromechanical system supports to the steel structure of the main beam and auxiliary beam via the base of the clamps. The clamps are designed to fit the cross-sectional dimensions of the main beam and are fixed to the preset position of the main beam by bolts. Their function is the same as that of the auxiliary positioning plate, serving as the anchoring carrier for the electromechanical pipeline supports. They can be adapted to the supports through bolt connections, snap-fit ​​connections, etc., to ensure that the connection strength meets the requirements of synchronous lifting and pipeline load-bearing capacity. In this embodiment, the auxiliary positioning plate of the support and hanger must not be directly welded to the main beam. The clamping points on the main beam must be planned in advance in the BIM model. After the clamps are firmly attached to the main beam, the auxiliary positioning plate of the support and hanger can be fixed to the preset connection points of the clamps by means of bolt connection, clamp locking, etc., to ensure that the load of the support and hanger is transferred to the main beam through the clamps and to avoid damage to the main beam due to welding. Add auxiliary beams for electromechanical pipeline installation: Based on the specifications of the electromechanical pipelines (such as 1600×800mm air ducts, DN150 pipes) and total weight data, and combined with the auxiliary beam stress parameters in the key parameters of synchronous lifting, add auxiliary beams for electromechanical pipeline installation between the main beams of the steel platform BIM sub-model; determine the arrangement spacing of the auxiliary beams according to the pipeline span and support spacing requirements, and select the welding or clamp fixing method according to the structural characteristics of the main beams of the steel platform, and associate the auxiliary beams with the main beam nodes of the steel platform BIM sub-model; The stress calculation of the steel structure, including the auxiliary beams, is performed based on the material mechanical properties data, including the elastic modulus and yield strength parameters of the auxiliary beams and the main beam of the steel platform. The stress calculation is performed on the steel platform structure after the addition of auxiliary positioning plates and the installation of auxiliary beams for electromechanical pipelines. The finite element simulation method is used to simulate the stress distribution of the structure during synchronous lifting, such as the stress at the connection node between the auxiliary beam and the main beam and the vertical deformation. It is determined whether the maximum stress ratio is ≤0.85, the maximum vertical deformation is ≤1 / 400 of the span, and whether it complies with the steel structure design code. Model parameter update: If the judgment result meets the steel structure design code, the added auxiliary positioning plate, the auxiliary beam for installing electromechanical pipelines, and the calculated stress parameters, such as nodal stress values ​​and deformation, will be updated to the steel platform BIM sub-model to form a steel platform BIM sub-model including auxiliary components; if the judgment result does not meet the design code for electromechanical systems in steel structures, the size of the auxiliary positioning plate or the spacing of the auxiliary beams will be adjusted, and the stress calculation will be re-performed until the result is qualified.

[0022] In this embodiment, a BIM sub-model for electromechanical pipelines and a BIM sub-model for the steel platform are constructed and spatially coupled. Through collision resolution, key parameters for synchronous lifting are associated with the corresponding components of the model, forming a basic model of an integrated structural BIM model. This reduces rework and adjustment costs during the construction phase, improves the continuity between design and construction, and forms a parameterized support system that is deeply adapted to the synchronous lifting requirements. This avoids the model from becoming disconnected from actual lifting needs and provides a precise and unified data benchmark for subsequent simulation verification and on-site management. By adding auxiliary positioning plates and auxiliary beams for electromechanical pipeline installation to the steel platform BIM sub-model, the finite element simulation method is used to perform stress calculations on the steel platform structure after the addition of components based on material mechanical property data. Finally, a steel platform BIM sub-model containing auxiliary components is formed, which makes the steel platform structure deeply compatible with the installation requirements of electromechanical pipelines and the stress requirements of synchronous lifting. This improves the pertinence and safety reliability of the structural design and provides technical support for the accurate construction of the integrated structure and the safety of synchronous lifting.

[0023] In this embodiment, if the judgment result does not meet the design specifications of the electromechanical system in the steel structure, adjusting the size of the auxiliary positioning plate or the spacing of the auxiliary beams includes: Using technologies not limited to 3D laser scanning, the physical structure of the auxiliary positioning plate, electromechanical pipelines, installation auxiliary beams and corresponding pipeline supports in various local areas within the steel platform is scanned to obtain the physical position data of the auxiliary positioning plate and auxiliary beams, generate a physical scanning model, and further overlay and integrate the electromechanical BIM virtual model for verification. Based on the verification model of the fusion of local BIM and solid scanning, check whether the welding position of the auxiliary positioning plate, the arrangement spacing of the auxiliary beams, and the connection nodes between the supports and the auxiliary beams meet the design requirements of the BIM model. If inconsistencies are found in local constructions, such as pipeline offsets or misaligned supports, the local area should be rectified on the ground. After rectification, the above scan should be performed again for comparison until the electromechanical reality model of each local construction is completely consistent with the BIM virtual model. It is then judged as qualified. The form of verifying the electromechanical system by combining virtual and reality includes any one of BIM+VR, BIM+AR or BIM+MR. After the local BIM and entity scanning fusion verification model passes the verification, based on the steel platform BIM sub-model including auxiliary components and the verified electromechanical pipeline BIM sub-model, the stress simulation verification, lifting trajectory simulation verification and operation and maintenance space simulation verification of the synchronous lifting key parameter association are performed. Discretize the integrated structural BIM model to obtain multiple model elements; Assemble the overall stiffness matrix based on material properties. : ; in, The overall stiffness matrix; This indicates the elastic modulus of a material, expressed in MPa. Represents the strain-displacement transformation matrix. This represents the transpose of the strain-displacement transformation matrix; Represents the material elasticity matrix; Represents the Jacobian matrix of coordinate transformation; This function represents the calculation of the determinant of a matrix. Solve the displacement equations using the global stiffness matrix: ; in, The solution vector for nodal displacements; Indicates the first [aspect] applied to the structure One load vector; Calculate the stress of each model element based on the solution results of the displacement equation. Identify the maximum stress ratio : ; ; in, For model element stress; This represents the maximum allowable stress value for the material. Calculate the deflection-span ratio based on the deflection at key points. : ; in, It is the deflection at the key point. for Directional displacement components; Indicates the calculated span of the structure; Determine whether the judgment result meets the steel structure design code based on the maximum stress ratio and deflection-span ratio. If it does not meet the code, identify the model element set of the high stress region. In this embodiment, the judgment result is determined based on the maximum stress ratio and the deflection-to-span ratio to determine whether it meets the steel structure design specifications: when the maximum stress ratio Greater than the preset maximum stress ratio threshold (e.g., 0.85), or, deflection-to-span ratio. If the deflection-to-span ratio exceeds the preset threshold, it is determined that the steel structure design code is not met. High-stress region model element set. ,in, Indicates the model unit number.

[0024] Based on the model element set of the high-stress region, the optimization objective function is calculated, using the auxiliary beam section parameters. As the design variables, the optimized cross-sectional parameters are output through gradient descent iteration. The objective function is: ; Using auxiliary beam section parameters To design the variables, iterate using gradient descent: ; in, This represents the vector of design variables for the auxiliary beam section optimization. Indicates the first The auxiliary beam section optimization design variable vector during the next iteration; Indicates the first The iteration (i.e. the ) The updated auxiliary beam section optimization design variable vector at the next iteration represents the new parameter configuration after moving in the negative gradient direction of the optimization objective function, which is used to gradually approximate the optimal section parameters. To optimize the objective function, Represents the gradient of the objective function; Indicates the number of iterations; This represents the convergence step size coefficient of the optimization algorithm; Based on the optimized cross-sectional parameters, determine the adjustment strategy for the size of the auxiliary positioning plate or the spacing of the auxiliary beams.

[0025] In this embodiment, rigorous finite element mechanical calculations and real-time iterative optimization ensure uniform stress distribution in the support system throughout the synchronous lifting process. For example, in a large-span roof electromechanical installation project of an exhibition center, the main beam of the steel platform is made of Q345B H-beams with a span of 30m, and the total weight of the electromechanical pipelines to be lifted synchronously is 28.6 tons. Calculations using this algorithm reveal that: The maximum stress ratio is 0.92, which is greater than 0.85 (the standard limit); the maximum deflection is 76.3 mm, corresponding to a deflection-to-span ratio of 1 / 280, which is greater than 1 / 400 (the standard limit); the high-stress region H is concentrated in 8 units within a central 3m × 3m range.

[0026] The algorithm initiates an automatic optimization process, using the auxiliary beam section parameters. ,in, For the cross-sectional height, For the wing width, For web thickness, The initial value is: After 12 iterations of optimization, the optimized scheme adjusted the auxiliary beams to #12 channel steel with a spacing of 1.2m: The maximum stress ratio decreased to 0.81; the maximum deflection was 51.4 mm, corresponding to a deflection-to-span ratio of 1 / 420.

[0027] The optimized solution achieved millimeter-level installation accuracy during on-site implementation, effectively avoiding the structural instability risk caused by local stress concentration in traditional experience-based designs, and improving the safety of electromechanical pipelines during the synchronous lifting process with the steel platform.

[0028] In this embodiment, the process of simultaneously improving the calculation and simulation verification of key parameters includes: Based on the BIM sub-model of the steel platform including auxiliary components and the BIM sub-model of electromechanical pipelines, the total weight of the integrated structure composed of electromechanical pipelines, steel platform and auxiliary components, and the connection node parameters of each component in the integrated structure are extracted, including the welding node between auxiliary beam and main beam, and the connection node between pipeline and support. Based on the extracted results, key parameters for synchronous lifting are calculated, including lifting reaction force, support system stress, pipeline deformation threshold and lifting point synchronization parameters. Based on the calculation results, an integrated structural synchronous lifting working condition simulation model is constructed, and stress simulation verification, lifting trajectory simulation verification and operation and maintenance space simulation verification are carried out. Stress simulation verification: Finite element stress simulation is performed on the hoisting condition simulation model to simulate the stress distribution and vertical deformation of the integrated structure during synchronous hoisting. Based on the judgment results, the hoisting point position or auxiliary beam section parameters are adjusted, key parameters are recalculated and simulated. Lifting trajectory simulation verification: Based on the synchronization parameters of the lifting points, the synchronous lifting trajectory of each lifting point is simulated in the simulation model to verify whether there is any attitude deviation of the integrated structure during the lifting process. Combined with the sensor deployment scheme of the on-site control system, the monitoring data acquisition logic is simulated to ensure that abnormal working conditions can be identified, such as single lifting point lag. Meanwhile, the deployment logic and data interaction process of the real-time detection scheme are pre-performed in the simulation model. The deployment positions of the drone, X-ray machine, and rheostat are restored in the simulation model, and the correlation rules between the monitoring data of the three and the theoretical trajectory of the BIM model are simulated. After the synchronous lifting operation is started, real-time detection will be carried out according to the simulation pre-run plan: the drone will hover directly above the center of the steel platform to take pictures and collect the spatial attitude images of the electromechanical pipelines on the upper part of the steel platform in real time, and generate the real-time trajectory coordinates of the electromechanical pipelines. By integrating lifting reality equipment, multiple verticality projection detection devices on the top of the lifted pipeline are verified, and the attitude and levelness of the pipeline are monitored in real time during the entire steel structure lifting process. Four resistance detection devices are installed on each steel column used for climbing guidance to monitor the lifting displacement and levelness of the steel structure as a whole, generate the lifting displacement curve of the lifting point, and superimpose it with the theoretical trajectory curve of the lifting point in the simulation model in real time. The real-time trajectory of electromechanical pipelines collected by drones, the sliding images of pipelines captured by X-ray machines, and the lifting point position data recorded by rheostats are synchronously transmitted to the on-site control system and compared with the integrated structural theory lifting trajectory output by the simulation model in multiple dimensions. The on-site control system automatically generates a trajectory consistency judgment report based on multi-dimensional comparison results. If the deviation exceeds the preset threshold, an anomaly warning is immediately triggered, and the lifting point control system is linked to adjust the lifting parameters to ensure the consistency and stability of the synchronous lifting of the steel platform and the electromechanical system. Operation and maintenance space simulation verification: Based on the operation and maintenance space optimization requirements, after the upgrade is completed in the simulation model, the relative positions of key electromechanical pipeline components, such as air valves, valves and maintenance walkways, are simulated to verify whether the operating space of maintenance personnel meets the preset space threshold; if not, the pipeline routing or walkway layout is adjusted. If the simulation verification results are all qualified, the key parameters of synchronous improvement, such as reaction force, deformation threshold, and synchronous deviation limit, are associated with the corresponding components of the optimized BIM model to generate the association relationship between key parameters and BIM model. If there are any non-compliant items in the simulation verification results, the key parameter calculation and simulation verification will be repeated until all verification items are qualified. Based on the correlation, the optimized BIM model and the corresponding synchronous improvement key parameters will be determined.

[0029] In this embodiment, by extracting all element data of the integrated structure composed of electromechanical pipelines, steel platform, and auxiliary components, and combining finite element stress simulation to quantitatively calculate key parameters such as lifting reaction force and pipeline deformation threshold, the risk of structural overload caused by parameter deviation is accurately avoided, ensuring that the mechanical performance of the integrated structure meets the design specifications. At the same time, a lifting trajectory simulation model is constructed based on the lifting point synchronization parameters to pre-simulate the monitoring logic and identify abnormal working conditions, optimizing the lifting point control strategy to ensure the synchronous coordination between electromechanical pipelines and steel platform, reducing problems such as support fracture and interface misalignment. In addition, the relative positions of key pipeline components and maintenance walkways after lifting are pre-checked through operation and maintenance space simulation to ensure that the maintenance space meets the preset threshold, avoiding rework in later modifications and reducing the overall cost. Furthermore, the deep coupling of key parameters and the optimized BIM model is achieved, providing a reliable benchmark for subsequent on-site management. All optimizations and risk assessments are completed in the simulation stage, significantly shortening the on-site commissioning cycle, reducing equipment standby and labor costs, and comprehensively improving the safety, stability, and engineering efficiency of synchronous lifting.

[0030] Please see Figure 3 In this embodiment, the on-site control system is built, specifically including: Based on the synchronous improvement of key parameters and the optimized BIM model, the hardware configuration requirements and data interaction standards of the on-site control system are determined. Based on the hardware configuration requirements, resistive displacement sensors are deployed at the lifting points of the steel platform BIM sub-model to monitor the synchronous displacement of the lifting points. Verticality detection sensors are deployed at key nodes of electromechanical pipelines, such as duct bends and pipe diameter changes, to monitor the pipeline posture. Stress sensors are deployed at the connection nodes between auxiliary beams and main beams to monitor the stress on the support system. Ensure that the sensor installation positions are consistent with the preset positions in the optimized BIM model. Data acquisition nodes are deployed based on the sensor deployment locations to achieve real-time connection between each sensor and the data acquisition nodes; a distributed network architecture is adopted to connect multiple data acquisition nodes to the core data gateway to ensure that the monitoring data transmission rate is higher than the preset rate threshold. The software platform for the on-site control system is built based on the data interaction standard. It performs bidirectional data interaction with the optimized BIM model, visualizes the monitoring data collected by the sensors, dynamically maps the improvement status of the integrated structure, and compares it with the theoretical status of the optimized BIM model in real time. The on-site control system is simulated, debugged, and verified to check the stability of data interaction and the accuracy of early warning. Based on the verification results, the sensor deployment locations are adjusted or the data acquisition network is optimized. The system is then re-debugged until it is qualified, and the on-site control system is completed.

[0031] In this embodiment, the monitoring and control process during the synchronization and upgrading process includes: The monitoring data is based on the real-time collection of data from various sensors by the on-site control system, including the displacement data of the suspension point of the resistive displacement sensor, the pipeline attitude data of the verticality detection sensor, and the force data of the support system of the stress sensor. At each critical height node, such as when the height is increased to 1 / 3 or 2 / 3 of the total height, MR equipment, namely a 3D laser scanner, is used to scan the current state of the integrated structure and generate a dynamic reality model. The dynamic reality model and the optimized BIM theoretical model are imported into the on-site management system software platform to perform graphic similarity analysis, calculate model overlap, key point coordinate deviation and pipeline axis similarity, and identify whether there is a risk of collision or installation position deviation caused by pipeline slippage. The real-time collected monitoring data and image similarity analysis results are transmitted to the optimized BIM model to obtain the actual lifting position, attitude angle and stress state data, so as to realize the dynamic synchronization between the monitoring data and the model state; compare the actual state with the theoretical lifting trajectory of the BIM model, such as the lifting point elevation and pipeline levelness, to generate real-time deviation data, such as displacement deviation value, attitude offset angle and stress deviation value. Based on real-time deviation data, multi-dimensional monitoring and analysis are conducted in conjunction with synchronous improvement of key parameters. Anomalies are determined based on the monitoring and analysis results, and corresponding control mechanisms are triggered according to the type and severity of the anomalies.

[0032] In this embodiment, during the synchronous lifting process, a drone-based leveling detection is activated simultaneously: a drone is deployed and always hovers at the center point of the steel platform, maintaining a vertical distance of a preset height from the upper surface of the steel platform, and the leveling of the steel platform is detected in real time using a projection comparison method; The steel platform is theoretically designed to be circular. The drone is equipped with a high-definition projection module and an image acquisition module to project the theoretical circular outline of the steel platform in the BIM model onto the surface of the steel platform. Eight sets of scale lines are pre-set on the surface of the steel platform in a circular pattern with a spacing of 50cm between the scale lines, as well as four orthogonal rays that pass through the center of the circle and divide the circumference equally. The drone collects images of the actual shape of the projected outline, scale lines and rays on the surface of the steel platform in real time. The acquired actual images are transmitted to the on-site control system and compared pixel-level with the theoretical circular outline and standard scale line / ray parameters of the steel platform in the BIM model: if the steel platform is level, the actual projected outline coincides with the theoretical circle, the scale lines are uniformly circular, and the rays are orthogonal straight lines; if the steel platform is tilted, the actual projected outline will become elliptical, the spacing between the scale lines will be uneven, and the rays will be bent or the included angle will deviate from 90°. The synchronicity of the variable resistor is determined by the following formula: Synchronization deviation of single-column internal variable resistor: In the formula, Indicates the coefficient of variation of the variable resistance; This represents the standard deviation of the resistance changes of the four variable resistors on the column; This indicates the average change in resistance of the column; The on-site control system automatically calculates the difference between the major and minor axes of the ellipse, the offset of the scale line, and the deviation of the ray angle, converting them into levelness deviation data for each quadrant of the steel platform. This data is then integrated into a multi-dimensional monitoring and analysis system and mutually verified with the synchronous data of the lifting point displacement and the fitting results of the steel platform levelness, serving as one of the core bases for judging abnormalities in the levelness of the steel platform.

[0033] In this embodiment, multi-dimensional monitoring and analysis includes pipeline attitude control: based on the attitude offset angle data, the deviation between the actual axis of the electromechanical pipeline in the integrated structure and the theoretical axis of the pipeline in the optimized BIM model is compared to determine whether the deviation is within the preset allowable deviation range; if it exceeds the range, the pipeline offset direction is further identified, such as lateral offset, vertical tilt and corresponding offset area. Specifically, this can be divided into two modules: pipeline attitude control by multi-point cameras at the bottom and vertical position detection by UAVs on the side of the steel platform. The data from the two modules are linked and cross-validated to ensure monitoring accuracy. Based on the optimized BIM model, the 3D geometric information and hollow space shape of key nodes of electromechanical pipelines and steel platforms are extracted. According to the actual deployment perspective of multi-point cameras at the bottom, visual simulation images of the corresponding hoisting stage are generated. At the bottom of the hoisting area, multiple calibrated cameras are deployed to cover all key pipeline nodes and eliminate blind spots. During the lifting process, as the lifting height increases, the solid shapes of pipelines and steel components will naturally shrink due to perspective. The size and relative spacing of the hollow space shape remain stable without distortion. If the pipelines shift laterally or tilt vertically, the outline proportions of the solid shapes will be distorted, and the hollow space shape will show non-uniform changes. By extracting data such as outline feature points and hollow space feature values, the deviation between the actual state and the BIM benchmark is quantified to determine whether it exceeds the preset allowable range. At the same time, the offset direction and specific offset area are accurately identified. During the lifting process, the drone hovers in a preset airspace, continuously capturing real-time images of the target area. The focus is on collecting information about the vertical position of the pipeline relative to the benchmark marker on the steel platform. The shape of the pipeline's vertical projection and its relative distance to the benchmark marker will change uniformly with the lifting height, without any abnormal distortion. If the pipeline sags, the projection will show an abnormal increase in local curvature. If a local bulge occurs, the projection height will suddenly exceed the BIM benchmark range. These distortion parameters are quantified to trigger a vertical position fault warning. Enhance synchronization control: Based on the displacement deviation data, calculate the actual displacement difference between each lifting point, compare the difference with the preset synchronization deviation allowable value in the key parameters of synchronous lifting, and determine whether the lifting of the lifting points is synchronized; if not synchronized, locate the specific lifting point whose displacement is lagging or leading. Steel platform levelness control: Based on the actual displacement data of multiple lifting points, the actual level surface of the steel platform is fitted, and the actual level surface is compared with the theoretical level surface of the steel platform in the optimized BIM model to determine whether the levelness deviation of the steel platform meets the preset requirements; if not, the distribution area and trend of the levelness deviation are analyzed. Stress control of the support system: Based on the stress deviation data, compare the actual stress on the support system, auxiliary beams and supports with the preset design stress limit in the key parameters of synchronous lifting to determine whether the support system is in a safe stress state; if it is close to or exceeds the limit, locate the support components with abnormal stress. In this embodiment, if the monitoring and analysis results of any dimension exceed the preset allowable range, it is determined to be an abnormal synchronous improvement. The control mechanism is shown in the table below: Minor abnormality The deviation is close to the allowable range but not exceeded. The early warning and control module of the on-site control system generates alert signals to remind operators to pay attention to abnormal trends. General abnormalities Synchronization deviation and attitude deviation exceed the allowable range Send control commands to the on-site management system to adjust the lifting parameters of the corresponding lifting points or make minor adjustments to the pipeline's attitude until the deviation returns to the allowable range. Serious abnormality The support system was subjected to stress exceeding the design limits and experienced a sudden tilting. Immediately trigger the emergency stop function of the on-site control system to suspend synchronous hoisting operations; restart the hoisting operation after manual verification and troubleshooting of the cause of the anomaly. In this embodiment, the anomaly determination based on monitoring and analysis results also includes: Anomaly cause localization: When an anomaly is detected, based on real-time deviation data and combined with the component connection relationship of the integrated structure in the optimized BIM model, such as the connection node between the auxiliary beam and the pipeline support, and the connection node between the lifting point and the steel platform, the corresponding anomaly cause is matched, such as the support loosening, sensor offset, and uneven force on the lifting point. On-site verification: Based on the matching results of the anomaly causes, portable testing equipment, such as torque wrenches to detect the torque of bracket bolts and laser rangefinders to detect the sensor positions, were used to conduct on-site verification of the corresponding components. At the same time, the accuracy of the anomaly causes was verified by combining the design benchmarks of the components in the BIM sub-model of the steel platform. Optimization of control scheme: If the on-site inspection confirms the cause of the abnormality, such as insufficient torque of the support bolts, then based on the corresponding force parameters constructed in the BIM sub-model of the steel platform, a corresponding control scheme is formulated, such as tightening the bolts to the design torque value; if the on-site inspection does not confirm the cause of the abnormality, then the monitoring data is re-collected to eliminate data interference factors. Secondary monitoring after regulation: After executing the corresponding regulation scheme, restart the synchronous lifting monitoring process, collect at least 30 seconds of continuous monitoring data, compare the secondary monitoring data with the preset allowable range of the key parameters of synchronous lifting, and determine whether the abnormality has been eliminated, such as pipeline attitude deviation returning to the allowable range and lifting point displacement synchronization meeting the standard. If the secondary monitoring results show that the anomaly has been eliminated, continue the synchronous lifting operation; if the anomaly has not been eliminated, re-evaluate the cause of the anomaly until the anomaly is completely eliminated. At the same time, the results of anomaly cause identification, on-site verification records, control plan content and secondary monitoring conclusions are linked to the source traceability file of the improvement process to form a full record of anomaly handling.

[0034] In this embodiment, by determining hardware configuration and data interaction standards based on synchronously improving key parameters and optimizing the BIM model, multiple types of sensors are precisely deployed and a distributed data acquisition network and software platform are built to achieve bidirectional interaction and dynamic visualization mapping between monitoring data and the BIM model. This breaks through the barriers of blind hardware deployment and data disconnection from the design model in traditional control systems, ensuring the stability and accuracy of monitoring data transmission, and providing full-dimensional data support for improving process control. Multi-dimensional monitoring and analysis cover core aspects such as pipeline posture, lifting synchronization, steel platform levelness, and support system stress. By generating deviation data through real-time comparison of actual conditions with BIM theoretical conditions, it breaks through the limitations of traditional single-dimensional monitoring and achieves comprehensive control over the lifting process. The hierarchical control mechanism combines anomaly cause location, on-site verification, control scheme optimization, and secondary monitoring to avoid the blindness and lag of traditional anomaly handling. It ensures the stable progress of the lifting process through precise control and can quickly respond to serious anomalies to reduce safety risks. The entire process of anomaly handling is recorded and linked to traceability archives, enabling traceable management of the lifting process. This improves the precision of control, safety, reliability, and problem handling efficiency of the synchronous lifting process, strengthens the dynamic connection between design and on-site construction, and builds systematic technical support for project quality assurance.

[0035] In this embodiment, on-site verification is performed on the components corresponding to the anomaly cause matching results, including: The component corresponding to the abnormal cause matching result is taken as the first target component.

[0036] In this embodiment, the component corresponding to the anomaly cause matching result (the first target component) refers to the building component that the system automatically identifies as the most direct cause of the anomaly through BIM model and monitoring data analysis. For example, when stress sensor data shows an anomaly at a certain location, the system will match the corresponding steel beam or auxiliary beam component in the BIM model.

[0037] The second target component that has an abnormal correlation analysis relationship with the first target component is classified together with the corresponding first target component into the same target cluster.

[0038] In this embodiment, the anomaly correlation analysis relationship refers to the mechanical transmission path, load dependency relationship, or spatial constraint relationship between components, determined through structural topology analysis and finite element simulation, used to identify possible propagation paths of anomalies; for example, the connection node between auxiliary beams and main beams, the installation relationship between pipeline supports and auxiliary beams, etc. The second target component refers to other components that have a mechanical transmission, spatial correlation, or functional dependency relationship with the first target component. Although not a direct source of anomalies, they may be affected by or jointly cause anomalies; for example, electromechanical pipelines (second target components) installed on a deformed auxiliary beam (first target component) may be displaced as a result. A target cluster is a cluster of components formed by combining the first and second target components with anomaly correlation analysis relationships. One target cluster represents a complete anomaly influence area, requiring overall consideration and verification.

[0039] Determine a local BIM model containing all target clusters corresponding to the first and second target components.

[0040] In this embodiment, the local BIM model is a simplified model extracted from the complete BIM model, containing only the components corresponding to all target clusters. It is used for targeted analysis and visualization, reducing the amount of data processing and improving the efficiency of on-site verification.

[0041] The highest altitude of the first or second target component in the target cluster above the ground is taken as the associated altitude of the corresponding target cluster.

[0042] In this embodiment, the associated height is the highest vertical distance from the ground to all components (first and second target components) in the target cluster, used to assess the difficulty of verification and security risks.

[0043] Obtain the anomaly confidence level of the first target component.

[0044] In this embodiment, the anomaly confidence level is the degree of credibility of the system's judgment that "the first target component does indeed have an anomaly," represented by a value between 0 and 1. The calculation is based on factors such as sensor data consistency, matching degree with historical anomaly patterns, and the degree to which the data exceeds a threshold. For example, if the stress sensor data exceeds the threshold by 20% for 10 minutes, the confidence level is 0.85.

[0045] The verification priority value of the first target component is calculated based on the anomaly confidence level and the association height of the target cluster to which the first target component belongs.

[0046] In this embodiment, the verification priority value is the result obtained by multiplying the normalized value of the anomaly confidence level and the inverse of the association height. The anomaly impact area corresponding to the target cluster with the higher the anomaly confidence level (the more certain the problem) and the lower the association height (the lower the risk) needs to be verified first.

[0047] In the local BIM model, verification paths are planned in order of verification priority from low to high. During planning, each target cluster corresponds to a local verification path, and the path points on the local verification path are associated with BIM trigger tiles. The local verification path and the BIM trigger tiles associated with the path points are set according to the verification strategy corresponding to the target cluster.

[0048] In this embodiment, the local inspection path refers to the on-site inspection route planned for a single target cluster, taking into account factors such as component spatial location, accessibility, and safety passages, enabling inspectors to efficiently and safely inspect all components within the cluster. Path points are preset key location nodes on the local inspection path, each path point associated with a specific inspection task and BIM triggering conditions; for example, the connection between the auxiliary beam and the main beam is set as path point 1, and the pipeline bend is set as path point 2. The BIM trigger slice is a 3D local model fragment related to a specific inspection point. This 3D local model fragment contains the design parameters, theoretical state, abnormal data, and inspection guidelines of the component at that location; for example, when personnel arrive at the auxiliary beam connection node, a stress cloud diagram of that node and a comparison slice of the designed weld size and the measured deformation are triggered and displayed.

[0049] The dispatchers conducted the corresponding verifications based on the verification path.

[0050] During the verification process, the real-time location and action set of on-site personnel are obtained.

[0051] In this embodiment, the real-time action set refers to the set of current behaviors of on-site personnel identified by the mobile terminal at the construction site, such as: [lifting a torque wrench, scanning a QR code, taking a photo of the weld, reading instrument data], etc.

[0052] Based on the triggering mechanism of the BIM trigger slice associated with the path point corresponding to the real-time location, determine whether the real-time action set meets the triggering conditions of the corresponding BIM trigger slice.

[0053] In this embodiment, the triggering mechanism is the rule for BIM trigger slice activation, for example: the difference between the real-time action set within 0.5m of the path point and the standard inspection guidance action associated with the BIM trigger slice is greater than a preset action difference threshold.

[0054] If so, send the corresponding BIM trigger slice to the communication terminal of the on-site personnel.

[0055] In this embodiment, the first target component most directly causing the anomaly is first determined based on the anomaly cause matching results. Simultaneously, considering the mechanical transmission paths, load dependencies, or spatial constraints between components, there exists a second target component that has a structural mechanical transmission, spatial association, or functional dependency relationship with the first target component. Although the second target component is not a direct source of the anomaly, it may be affected by or jointly cause the anomaly. Therefore, collaborative analysis is required during verification. The second target component with anomaly association analysis relationship with the first target component is grouped together with its corresponding first target component into the same target cluster. A local BIM model containing all target clusters and their corresponding first and second target components is determined for subsequent verification planning to reduce data processing volume and improve on-site verification efficiency.

[0056] Considering that there may be multiple primary target components causing the anomaly, and that different components have different heights from the ground and different levels of difficulty in verification during the synchronous lifting of electromechanical pipelines along with the steel platform, it is necessary to determine the correlation height of the target cluster to which the primary target component belongs and the anomaly confidence level of the primary target component, and quantify the verification priority of the primary target component. The primary target component that is easier to verify and more likely to be abnormal should be verified first, which can reduce verification costs, achieve verification success earlier, and improve verification efficiency.

[0057] Furthermore, verification paths are planned within the local BIM model. Each target cluster corresponds to a local verification path segment. Path points on the local verification path are associated with corresponding 3D local model fragments. These fragments contain the design parameters, theoretical state, anomaly data, and inspection guidelines for the component at that location. On-site personnel are scheduled to conduct corresponding verifications based on the verification paths. When the real-time action set of on-site personnel meets the triggering conditions of the BIM trigger slice associated with the path point corresponding to their real-time location, the corresponding guide slice will be sent, guiding accurate verification and making the process more user-friendly.

[0058] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A BIM-based method for the management and optimization of electromechanical pipelines being synchronously lifted with a steel platform, characterized in that... Includes the following steps: An integrated structural BIM model is constructed based on the design parameters of the steel platform and electromechanical pipelines. The key parameters of the integrated structural BIM model are calculated and simulated simultaneously to obtain an optimized BIM model. After the steel structure is installed, a 3D laser scanner is used to scan the existing steel platform structure to obtain 3D point cloud data of the structure. This data is then combined with the optimized electromechanical pipeline BIM sub-model for spatial alignment and overlay to form a BIM and entity scanning fusion model. The consistency between the actual route of the electromechanical pipelines, the support anchorage position, the interface coordinates and the BIM model is compared segment by segment. If there is any deviation, the rectification is completed on the ground until the acceptance is qualified, so as to achieve the preliminary acceptance of the BIM and physical scanning of the steel platform solid structure and electromechanical pipelines. Based on the aforementioned key parameters, deploy on-site sensors and data acquisition networks, build an on-site management and control system based on the deployed on-site sensors and data acquisition networks, and interact with the data of the optimized BIM model; Based on the real-time monitoring data collected by the on-site control system, combined with the dynamic mapping of the optimized BIM model, the monitoring and control of the synchronous improvement process is carried out. If an anomaly is detected, the control mechanism is triggered. Based on the design benchmarks of the optimized BIM model, BIM acceptance is conducted on the improved results, and the data from the entire process is integrated, classified, and stored. The monitoring and control process during the synchronous upgrade includes: The monitoring data is based on the real-time collection of data from various sensors by the on-site control system, including the displacement data of the suspension point of the resistive displacement sensor, the pipeline attitude data of the verticality detection sensor, and the force data of the support system of the stress sensor. For each key height node raised, the current state of the integrated structure is scanned using a 3D laser scanner, and a dynamic reality model is generated. The dynamic reality model and the optimized BIM model are imported into the site management system to perform graphic similarity analysis, calculate model overlap, key point coordinate deviation and pipeline axis similarity, and identify whether there is a risk of collision during the lifting process or installation position deviation caused by pipeline slippage. The real-time collected monitoring data and image similarity analysis results are transmitted to the optimized BIM model to obtain the actual lifting position, attitude angle and force state data. The actual state is compared with the theoretical lifting trajectory of the BIM model to generate real-time deviation data. Based on real-time deviation data, multi-dimensional monitoring and analysis are conducted in conjunction with synchronous improvement of key parameters. Anomalies are identified based on the monitoring and analysis results, and corresponding control mechanisms are triggered according to the type and severity of the anomalies. Anomaly detection based on monitoring and analysis results also includes: Once an abnormality is detected, the corresponding cause of the abnormality is matched based on real-time deviation data and the component connection relationship of the integrated structure in the optimized BIM model. Based on the matching results of the anomaly causes, the corresponding components were checked on-site. At the same time, the accuracy of the anomaly causes was verified by combining the design benchmarks of the components in the BIM sub-model of the steel platform. If the on-site inspection confirms the cause of the anomaly, a corresponding control plan will be formulated based on the stress parameters constructed in the steel platform BIM sub-model; if the on-site inspection does not confirm the cause of the anomaly, monitoring data will be collected again for secondary monitoring. After executing the corresponding control scheme, restart the synchronous monitoring process, compare the secondary monitoring data with the preset allowable range of the synchronous monitoring key parameters, and determine whether the anomaly has been eliminated. If the secondary monitoring results show that the anomaly has been eliminated, continue the synchronous lifting operation; if the anomaly has not been eliminated, re-evaluate the cause of the anomaly until the anomaly is completely eliminated. At the same time, the results of anomaly cause identification, on-site verification records, control plan content and secondary monitoring conclusions are linked to the source traceability file of the improvement process to form a full record of anomaly handling.

2. The BIM-based management and optimization method for synchronously lifting electromechanical pipelines with the steel platform as described in claim 1, characterized in that, The integrated structural BIM model includes an electromechanical pipeline BIM sub-model and a steel platform BIM sub-model. The specific process is as follows: Acquire design parameters and material mechanical properties data for electromechanical pipelines; collect structural dimensions, load bearing parameters, and lattice column distribution data for the steel platform; and collect topographic elevation and historical temperature variation data for the site environment. Based on the design parameters and material mechanical properties data of the electromechanical pipelines, a BIM sub-model of the electromechanical pipelines is constructed. Based on the structural dimensions, load bearing parameters and lattice column distribution data of the steel platform, a BIM sub-model of the steel platform is constructed. Import the BIM sub-model of electromechanical pipelines and the BIM sub-model of steel platform into the same modeling environment. According to the synchronous lifting requirements, spatial alignment is performed with the main beam axis of the steel platform as the reference to form a preliminary integrated structural BIM model. Identify spatial collision points in the preliminary integrated structural BIM model, perform collision detection based on the identification results, and adjust the routing of electromechanical pipelines or optimize the position of auxiliary beams of the steel platform according to the detection results to complete the collision resolution. The key parameters are synchronously improved and associated with the corresponding components of the integrated structural BIM model, thus forming the basic model of the integrated structural BIM model.

3. The BIM-based management and optimization method for synchronously lifting electromechanical pipelines with the steel platform as described in claim 2, characterized in that... The steel platform BIM sub-model also includes: Based on the BIM sub-model of the steel platform, and combined with the stress requirements of the auxiliary beams in the key parameters of synchronous lifting, the scope of addition and design basis of the auxiliary positioning plate and the auxiliary beams for the installation of electromechanical pipelines are determined. Based on the anchoring position of the pipeline support in the BIM sub-model of electromechanical pipelines and the requirements of secondary welding operations, auxiliary positioning plates are added at the preset positions of the main beams in the BIM sub-model of the steel platform. Based on the material mechanical properties data, determine the dimensions of the auxiliary positioning plate and the welding node parameters; Based on the specifications and total weight of the electromechanical pipelines, and combined with the stress parameters of the auxiliary beams in the key parameters of synchronous lifting, auxiliary beams for installing electromechanical pipelines are added between the main beams of the steel platform BIM sub-model. If welding is not permitted on the main beam of the steel platform, clamps are used to replace welding for fixing. This includes connecting the auxiliary beam to the main beam via clamps, and connecting the supports and hangers of the electromechanical system to the main beam, auxiliary beam, and other steel structures via the base of the clamps. Based on the pipeline span and support spacing requirements, determine the spacing of the auxiliary beams, select the fixing method, and associate the auxiliary beams with the main beam nodes of the steel platform BIM sub-model; Based on the data of material mechanical properties, conduct stress calculation on the steel platform structure after adding auxiliary positioning plates and auxiliary beams for the installation of mechanical and electrical pipelines; Simulate the stress distribution and vertical deformation of the structure during the synchronous lifting process, and judge whether the maximum stress ratio and the maximum vertical deformation meet the steel structure design specifications; If the judgment result meets the steel structure design specifications, update the added auxiliary positioning plates, auxiliary beams for the installation of mechanical and electrical pipelines, and the calculated stress parameters to the steel platform BIM sub-model, and form a steel platform BIM sub-model including auxiliary components; If the judgment result does not meet the design specifications of the mechanical and electrical system in the steel structure, adjust the size of the auxiliary positioning plates or the layout spacing of the auxiliary beams, and re-conduct stress calculation until the result is qualified.

4. The BIM-based management and optimization method for synchronously lifting electromechanical pipelines with the steel platform as described in claim 3, characterized in that, If the judgment result does not meet the design specifications of the mechanical and electrical system in the steel structure, adjusting the size of the auxiliary positioning plates or the layout spacing of the auxiliary beams includes: Using, but not limited to, 3D laser scanning technology to scan the physical structures of the local areas of the auxiliary positioning plates, mechanical and electrical pipelines, auxiliary beams for installation, and corresponding pipeline supports and hangers within the steel platform, obtain the physical position data of the auxiliary positioning plates and auxiliary beams, generate a physical scanning model, and further superimpose and fuse the mechanical and electrical BIM virtual model for verification; Based on the verification of the fusion of the local BIM and the physical scanning model, check whether the welding positions of the auxiliary positioning plates, the layout spacing of the auxiliary beams, and the connection nodes between the supports and hangers and the auxiliary beams meet the design requirements of the BIM model; If it is found that there are inconsistencies in the local components during the comparison, rectify the local area on the ground. After the rectification is completed, re-conduct the above scanning and comparison until the mechanical and electrical reality model of each local component is completely consistent with the BIM virtual model, and it is judged as qualified. Among them, the form of combining virtual and reality to verify the mechanical and electrical system can be recommended but not limited to any one of BIM+VR, BIM+AR or BIM+MR, After the local BIM and the physical scanning fusion verification model are verified to be qualified, based on the steel platform BIM sub-model including auxiliary components and the mechanical and electrical pipeline BIM sub-model that has been verified to be qualified, perform stress simulation verification, lifting trajectory simulation verification, and operation and maintenance space simulation verification related to the key parameters of synchronous lifting; Discretize the integrated structure BIM model to obtain multiple model units; Assemble the overall stiffness matrix according to the material properties; Solve the displacement equation according to the overall stiffness matrix; Calculate the stress of each model unit according to the solution result of the displacement equation and identify the maximum stress ratio; Calculate the deflection-span ratio according to the deflection of the key points; Determine whether the judgment result meets the steel structure design specifications according to the maximum stress ratio and the deflection-span ratio. If it does not meet, identify the set of model units in the high-stress area; According to the set of model units in the high-stress area, calculate the optimization objective function, use the section parameters of the auxiliary beam as the design variables, and iterate through the gradient descent method to output the optimized section parameters; According to the optimized section parameters, determine the adjustment strategy for the size of the auxiliary positioning plates or the layout spacing of the auxiliary beams.

5. The BIM-based management and optimization method for synchronously lifting electromechanical pipelines with the steel platform as described in claim 3, characterized in that... The process of calculating and simulating the verification of the key parameters of synchronous lifting includes: Based on the steel platform BIM sub-model including auxiliary components and the mechanical and electrical pipeline BIM sub-model, extract the total weight of the integrated structure and the connection node parameters of each component in the integrated structure; Based on the extracted results, key parameters for synchronous lifting are calculated. Based on the calculation results, an integrated structural synchronous lifting working condition simulation model is constructed, and force simulation verification, lifting trajectory simulation verification, and operation and maintenance space simulation verification are carried out. If the simulation verification results are all qualified, the synchronously improved key parameters will be associated with the corresponding components of the optimized BIM model to generate the association relationship between the key parameters and the BIM model. If there are any non-compliant items in the simulation verification results, the key parameter calculation and simulation verification will be repeated until all verification items are qualified. Based on the correlation, the optimized BIM model and the corresponding synchronous improvement key parameters will be determined.

6. The BIM-based management and optimization method for synchronously lifting electromechanical pipelines with the steel platform as described in claim 1, characterized in that, The establishment of an on-site management and control system specifically includes: Based on the synchronous improvement of key parameters and the optimized BIM model, the hardware configuration requirements and data interaction standards of the on-site control system are determined. According to the hardware configuration requirements, resistive displacement sensors are deployed at the lifting points of the steel platform BIM sub-model, four synchronous controls are implemented in the circumferential direction of the steel columns, verticality detection sensors are deployed at key nodes of electromechanical pipelines, and stress sensors are deployed at the connection nodes between auxiliary beams and main beams. Data acquisition nodes are deployed based on the sensor deployment locations, and multiple data acquisition nodes are connected to the core data gateway. The software platform for the on-site control system is built based on the data interaction standard. It performs bidirectional data interaction with the optimized BIM model, visualizes the monitoring data collected by the sensors, dynamically maps the improvement status of the integrated structure, and compares it with the theoretical status of the optimized BIM model in real time. The on-site control system was simulated, debugged, and verified to complete the construction of the on-site control system.

7. The BIM-based management and optimization method for synchronously lifting electromechanical pipelines with the steel platform as described in claim 1, characterized in that, Based on the anomaly cause matching results, on-site verification of the corresponding components is carried out, including: Use the component corresponding to the anomaly cause matching result as the first target component; The second target component that has an abnormal correlation analysis relationship with the first target component is classified together with the corresponding first target component into the same target cluster; Determine a local BIM model containing all target clusters corresponding to the first and second target components; The highest altitude of the first or second target component in the target cluster above the ground is taken as the associated altitude of the corresponding target cluster. Obtain the anomaly confidence level of the first target component; Calculate the verification priority value of the first target component based on the anomaly confidence level and the association height of the target cluster to which the first target component belongs; In the local BIM model, verification paths are planned in order of verification priority from low to high. During planning, each target cluster corresponds to a local verification path, and path points on the local verification path are associated with BIM trigger tiles. The local verification path and the BIM trigger tiles associated with the path points are set according to the verification strategy corresponding to the target cluster. On-site personnel were dispatched to conduct corresponding verifications based on the verification path. During the verification process, the real-time location and action set of on-site personnel are obtained; Based on the triggering mechanism of the BIM trigger slice associated with the path point corresponding to the real-time location, determine whether the real-time action set meets the triggering conditions of the corresponding BIM trigger slice. If so, send the corresponding BIM trigger slice to the communication terminal of the on-site personnel.

8. The BIM-based management and optimization method for synchronously lifting electromechanical pipelines with the steel platform as described in claim 1, characterized in that, The process of BIM acceptance of the improved results includes: Based on the optimized BIM model, target control benchmark data is extracted, including the coordinates of electromechanical pipeline interfaces, the elevation of the steel platform, and the stress limits of the support system; Based on the target control benchmark data, the accuracy of electromechanical pipeline interfaces, the location of steel platforms, and the support system are inspected. The inspection data are then compared with the target control benchmark data to generate an acceptance result. The data from each dimension that has passed the acceptance test are linked to the corresponding components in the optimized BIM model to obtain the actual installation parameters in the BIM model. The acceptance records are then integrated into the full-process data of operation and maintenance data management to generate an acceptance report for the improvement results.

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