A shell outfitting and painting plant steel structure hoisting management and control system based on a BIM model

Abstract

The present application belongs to the technical field of intelligent management and control, and discloses a shell outfitting and painting plant steel structure hoisting management and control system based on a BIM model, which comprises BIM model construction, shell outfitting and painting method adaptation, hoisting scheme planning, multi-machine cooperative scheduling, multi-field real-time monitoring, closed-loop early warning management and control, and data review optimization modules. The present application pre-integrates painting explosion-proof, outfitting pre-burying, and floor bearing special constraints before the scheme stage, collects multi-dimensional field operation states, classifies and disposes various construction abnormalities, unifies hoisting and outfitting measurement benchmarks, realizes synchronous management and control of multiple hoisting equipment, and automatically triggers subsequent outfitting processes after component installation meets the standards. The system retains full-process construction data and iteratively optimizes and verifies the logic, solves the problems of traditional hoisting management and control process conflicts, single monitoring dimension, non-unified benchmark, and non-reusable experience, improves the safety, quality, and process connection efficiency of plant hoisting construction, and adapts to various ship shell outfitting and painting plant construction scenes.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, specifically to a BIM model-based steel structure hoisting control system for shell outfitting and coating plant. Background Technology

[0002] With the large-scale development of the shipbuilding industry, large integrated workshops have become essential sites for the construction of ship sections. These workshops have large spaces and need to accommodate painting areas, outfitting pre-embedded work positions, and high load-bearing floors. The main structure of the workshop is built using heavy steel structures, and multiple cranes are needed to complete the hoisting operations during the construction phase.

[0003] Existing management methods for steel structure hoisting mostly focus on the hoisting itself, only conducting component collision checks and equipment motion control, without simultaneously designing solutions to address the constraints of subsequent production processes in the factory. During the construction preparation phase, it's impossible to pre-determine the operational restrictions of painting areas, match outfitting schedules in advance, or verify the ground's bearing capacity. As a result, after construction begins, conflicts frequently arise regarding hoisting equipment occupying space for subsequent processes, conflicting with work schedules and pre-embedded procedures, requiring repeated adjustments to the construction plan and extending the overall construction cycle.

[0004] Meanwhile, conventional control methods collect only a limited range of data, monitoring only the installation location of components and ignoring factors affecting construction safety such as component stress and changes in ground load. This makes it impossible to detect situations like excessive stress or ground overload in a timely manner. Furthermore, different construction stages use independent measurement benchmarks, leading to dimensional mismatches during outfitting after hoisting and installation. Data from different processes cannot be shared, and adjustments to hoisting operations can only be made individually when anomalies occur, without the ability to simultaneously adjust subsequent construction plans.

[0005] In addition, the existing management and control system lacks a path for long-term data retention and iterative optimization. Management and control standards must be re-formulated for each factory construction site. The construction experience accumulated from past projects cannot be reused, and the management and control adaptability is insufficient when constructing factories under different working conditions.

[0006] To address this, a BIM-based steel structure hoisting control system for shell outfitting and coating plant buildings is proposed. Summary of the Invention

[0007] The present invention aims to solve the problems mentioned in the background art by providing a BIM model-based steel structure hoisting control system for shell outfitting and coating plant.

[0008] The specific technical solution is as follows: A BIM-based steel structure hoisting control system for shell outfitting and coating plant includes a BIM model construction module, a hoisting scheme planning module, a shell outfitting and coating method adaptation module, a multi-machine collaborative scheduling module, a multi-site real-time monitoring module, and a closed-loop early warning and control module. The output of the BIM model construction module is connected to the input of the hoisting scheme planning module and the shell outfitting and coating method adaptation module, respectively. The output of the shell outfitting and coating method adaptation module is connected to the input of the hoisting scheme planning module. The output of the hoisting scheme planning module is connected to the input of the multi-machine collaborative scheduling module. The output of the multi-site real-time monitoring module is connected to the input of the multi-machine collaborative scheduling module and the closed-loop early warning and control module, respectively. The output of the closed-loop early warning and control module is connected to the input of the multi-machine collaborative scheduling module.

[0009] The above solution employs a multi-module interconnected architecture, bringing the process adaptation phase forward to the hoisting plan planning stage. Simultaneously, on-site monitoring data is fed back to the scheduling and early warning systems, forming a complete control process from plan design to on-site execution and dynamic adjustment. Compared to control systems that only focus on the hoisting operation itself, this architecture can also accommodate the special process requirements of the shell outfitting and coating plant, ensuring smoother integration between hoisting construction and subsequent production processes, reducing plan adjustments and process conflicts during construction, and improving the overall orderliness and control efficiency of the construction.

[0010] The aforementioned BIM-based steel structure hoisting control system for shell outfitting and coating plant includes a BIM model building module for constructing a full-discipline digital model of the shell outfitting and coating plant. This full-discipline digital model includes parameters for steel structure components, civil structure parameters, hoisting equipment parameters, outfitting and coating process pipeline parameters, coating explosion-proof zoning parameters, and high-load floor bearing capacity parameters. The BIM model building module assigns a unique identification code to each component and process node and associates it with corresponding mechanical properties, installation accuracy requirements, and construction method constraints.

[0011] The above solution integrates design and process data from multiple disciplines into a comprehensive digital model, eliminating information barriers between different disciplines and providing a unified data foundation for subsequent management and control. Assigning unique codes to components and process nodes and associating them with corresponding attributes and constraints allows each module to accurately match the requirements of the corresponding object when calling data, avoiding deviations in the solution due to missing or mismatched information. It also facilitates information traceability and status management throughout the entire construction process.

[0012] The aforementioned BIM-based steel structure hoisting control system for shell outfitting and coating plant includes a hoisting scheme planning module that reads digital model data from all disciplines, generates steel structure hoisting paths, hoisting point layout schemes, and hoisting equipment positioning schemes through spatial collision simulation and load verification, and simultaneously matches the zoning construction sequence and process overlap requirements of the shell outfitting and coating plant to generate a phased hoisting operation plan.

[0013] The above-mentioned approach involves conducting spatial collision and load checks simultaneously during the planning process, ensuring that the generated hoisting paths and equipment locations are spatially feasible and structurally safe. Developing a phased work plan that integrates the factory's zoning construction rhythm and process overlap requirements allows the hoisting progress to match the overall construction pace, avoiding time conflicts between hoisting operations and other processes, and improving the on-site adaptability and feasibility of the solution.

[0014] The aforementioned BIM model-based steel structure hoisting control system for shell outfitting and coating workshops includes a shell outfitting and coating method adaptation module. This module is used to extract the coating explosion-proof zone boundary, outfitting work station embedded nodes, and high-load floor distribution parameters from the BIM model. During the hoisting scheme planning stage, it delineates explosion-proof no-hoisting operation areas, reserves windows for outfitting embedded processes, and verifies the floor load threshold of hoisting equipment positions to avoid spatial and temporal conflicts between hoisting operations and subsequent outfitting and coating processes.

[0015] By adopting the above approach, the area requirements for painting operations, the time requirements for outfitting processes, and the load-bearing requirements of the floor are incorporated into the planning stage in advance. This avoids spatial overlap and temporal conflicts between hoisting operations and subsequent processes from the outset, while also preventing equipment placement from exceeding the floor's load-bearing capacity. This pre-planning approach reduces adjustments and rework during construction due to process conflicts or site limitations, ensuring a smoother transition between hoisting operations and subsequent production processes.

[0016] The aforementioned BIM-based steel structure hoisting control system for shell outfitting and coating plant includes a multi-machine collaborative scheduling module that receives the work plan output by the hoisting scheme planning module, issues synchronous control commands to multiple hoisting devices, and regulates the lifting speed, rotation angle, and travel path of each hoisting device. Simultaneously, it adjusts the operating radius and rotation range of the hoisting devices in conjunction with the boundary constraints of the coating explosion-proof zone, and adjusts the hoisting sequence to match the overlapping window periods of the outfitting pre-embedded processes, thereby achieving coordinated matching between the multi-device operation actions and the plant construction methods and processes.

[0017] The above solution, through unified scheduling commands to control the operations of multiple hoisting devices, ensures coordinated and consistent movements during collaborative operations, improving the stability of the heavy component hoisting process. Simultaneously implementing operational constraints in explosion-proof areas and time requirements for process overlap during scheduling ensures that equipment operations comply with the management regulations for the plant's special working conditions throughout the entire process, while also matching the rhythm of outfitting and other processes. This guarantees operational safety and improves the smoothness of process transitions.

[0018] The aforementioned BIM-based steel structure hoisting control system for shell outfitting and coating plant includes a multi-field real-time monitoring module comprising a component attitude monitoring subunit, a position accuracy monitoring subunit, a structural stress monitoring subunit, and a floor load monitoring subunit. The component attitude monitoring subunit is used to collect the tilt angle and torsion of the steel structure components during hoisting; the position accuracy monitoring subunit is used to collect the spatial coordinates and installation deviations of the components; the structural stress monitoring subunit is used to collect the stress values ​​at the hoisting points and key sections of the components; and the floor load monitoring subunit is used to collect the actual floor load and deformation data of the hoisting equipment's station area.

[0019] The above approach involves collecting operational status data from multiple dimensions, including component posture, installation location, structural stress, and site load-bearing capacity. This comprehensively covers all factors affecting safety and quality during the hoisting process, eliminating blind spots caused by single monitoring dimensions. The multi-dimensional monitoring data provides comprehensive information support for subsequent scheduling adjustments and early warning judgments, making control decisions more aligned with the actual on-site conditions.

[0020] The aforementioned BIM model-based steel structure hoisting control system for shell outfitting and coating workshops includes a position accuracy monitoring subunit that uses an intelligent measurement robot to collect data at a frequency of 0.5 to 2 times per second, with position monitoring accuracy controlled within the range of 0.5 to 3 millimeters. The accuracy benchmark of the position accuracy monitoring subunit is consistent with the outfitting process benchmark, and the collected real-time data is synchronously transmitted to the BIM model construction module to complete the dynamic updating of the BIM model and the linkage correction of the process benchmark.

[0021] The above solution employs corresponding measuring equipment to collect location data, ensuring data accuracy and timeliness, and meeting the control requirements of high-precision installation. Maintaining consistency between the hoisting measurement benchmark and the outfitting process benchmark avoids installation deviations caused by inconsistencies in benchmarks across different processes, ensuring the installation accuracy of subsequent outfitting procedures. Real-time data synchronization to the digital model ensures that the model always reflects the actual site conditions, guaranteeing the digital model's guiding role in on-site construction.

[0022] The aforementioned BIM model-based steel structure hoisting control system for shell outfitting and coating workshops includes a closed-loop early warning control module whose output is also connected to the input of a shell outfitting and coating method adaptation module. The closed-loop early warning control module has preset graded thresholds, including component posture thresholds, position deviation thresholds, structural stress thresholds, and ground load thresholds. These thresholds are used to compare various data collected by the multi-field real-time monitoring module with the corresponding graded thresholds. When the data exceeds the corresponding threshold, an early warning signal of the corresponding level is output. Simultaneously, control commands for speed adjustment, path correction, or work suspension are issued to the multi-machine collaborative scheduling module, and the early warning data is synchronized to the shell outfitting and coating method adaptation module to adjust the process overlap plan.

[0023] The above solution differentiates different types of abnormal states through tiered thresholds, enabling corresponding measures to be taken for varying degrees of risk. This ensures construction safety and quality while avoiding excessive control that could negatively impact construction efficiency. Early warning information is simultaneously fed back to the scheduling and construction method adaptation modules, allowing for adjustments to subsequent procedures while hoisting operations are being adjusted. This ensures that abnormal situation handling covers the entire construction chain, improving the system's response speed and the appropriateness of its handling of unexpected situations on-site.

[0024] The aforementioned BIM-based steel structure hoisting control system for shell outfitting and painting workshops also includes a data review and optimization module. The input of the data review and optimization module is connected to the output of the multi-field real-time monitoring module and the closed-loop early warning and control module, respectively. The output of the data review and optimization module is connected to the input of the hoisting scheme planning module. The data review and optimization module is used to store the operation data, early warning records, and process adaptation deviation data of the entire hoisting process, generate a collaborative analysis report of the entire process of hoisting, outfitting, and painting, and iteratively optimize the collision verification rules and load verification parameters of the hoisting scheme planning module based on historical data.

[0025] The above approach allows for a comprehensive summary and analysis of the actual effectiveness of hoisting operations and process coordination by accumulating operational data and anomaly records throughout the entire construction process. By reverse-optimizing the verification rules and parameters of the planning stage based on historical data, subsequent hoisting schemes can be more closely aligned with actual on-site conditions. The system's control accuracy and adaptability can continuously improve with accumulated engineering applications, better meeting the needs of projects of different scales and working conditions.

[0026] The aforementioned BIM model-based steel structure hoisting control system for shell outfitting and coating plant is applicable to steel structure hoisting operations for shell outfitting and coating plant with spans of 30 to 120 meters, featuring explosion-proof coating zones and outfitting pre-embedded processes. It is compatible with hoisting equipment with a single rated lifting capacity of 50 to 500 tons, supports collaborative operation control of 2 to 6 hoisting equipment, and corresponds to a plant floor design load range of 5 to 30 tons per square meter.

[0027] The above solution allows the system to adapt to shell outfitting plants of different span sizes, support various tonnage hoisting equipment and different combinations of equipment, and adapt to plant floors with different load-bearing capacities. It has a wide range of applications and strong engineering versatility, and can meet the hoisting control needs of most shell outfitting plant construction projects.

[0028] The aforementioned BIM-based steel structure hoisting control system for shell outfitting and coating plant includes a multi-machine collaborative scheduling module with a built-in explosion-proof operation control unit. This unit is used to match the explosion-proof zone requirements of the coating with the explosion-proof level of the hoisting equipment, restricting non-explosion-proof hoisting equipment from entering the first-level explosion-proof zone. It also controls the operating speed and mechanical movement amplitude of the hoisting equipment to reduce the risk of static electricity accumulation and sparks during the operation.

[0029] The above solution involves setting up a dedicated control unit for the explosion-proof requirements of the painting area, imposing constraints on both equipment access and operational procedures. This allows for more precise and standardized management of hoisting operations in explosion-proof areas. Different levels of explosion-proof areas correspond to different control requirements, effectively reducing the probability of safety risks during operations while avoiding unnecessary restrictions on operations in non-explosion-proof areas, thus balancing construction safety and operational efficiency.

[0030] In the aforementioned BIM model-based steel structure hoisting control system for shell outfitting and coating workshops, the output end of the floor load monitoring subunit is connected to the input end of the multi-machine collaborative scheduling module. When the actual load value collected by the floor load monitoring subunit reaches 80% to 90% of the floor bearing capacity threshold, the multi-machine collaborative scheduling module automatically adjusts the walking path and station position of the hoisting equipment to disperse the load distribution and avoid local overload damage to the floor.

[0031] The above solution integrates real-time monitoring data of the floor load into the scheduling system. This allows for automatic adjustment of equipment operating routes and positions when the floor load approaches its limit, preventing localized loads from exceeding the floor's design capacity by distributing the load. This dynamic adjustment effectively protects the factory floor structure, reduces damage such as cracking and deformation caused by construction overload, and lowers the cost of subsequent floor repairs and the impact on production.

[0032] The aforementioned BIM model-based steel structure hoisting control system for shell outfitting and coating plant has a unique identification code for each steel structure component associated with the corresponding outfitting pre-embedded node's process triggering conditions. When the component is hoisted into place and the positional accuracy meets the preset requirements, the BIM model construction module automatically pushes a process ready signal to the outfitting construction control terminal, simultaneously unlocking the operation permission for the corresponding outfitting pre-embedded process, thus achieving seamless connection between hoisting and outfitting processes.

[0033] The above solution links the component installation status with the start conditions of subsequent outfitting processes. This automatically triggers the preparation and initiation of subsequent processes once the component installation meets the standards, eliminating the need for manual information transmission and ensuring seamless process transitions. This automated transition method shortens the intervals between different processes, avoids deviations and omissions caused by manual information transmission, and improves the efficiency and accuracy of process transitions.

[0034] The aforementioned BIM-based steel structure hoisting control system for shell outfitting and coating plant includes a three-level threshold system. The first-level threshold corresponds to the risk of structural safety failure, and upon triggering, an order to suspend the entire machine operation is immediately issued. The second-level threshold corresponds to the risk of exceeding installation accuracy limits, and upon triggering, an order to reduce operation speed and correct the path in real time is issued. The third-level threshold corresponds to the risk of process connection deviation, and upon triggering, a process window adjustment prompt is pushed to the shell outfitting and coating method adaptation module, thereby achieving differentiated control based on the level.

[0035] The above-mentioned approach divides early warning thresholds into different levels based on risk type and impact severity, and adopts differentiated handling methods for three different types of issues: structural safety, installation quality, and process coordination. For serious safety-related issues, the fastest possible shutdown response can be achieved, while for precision and process-related issues, a flexible adjustment approach is adopted. This approach firmly safeguards the bottom line of construction safety while minimizing the disruption of early warnings to the construction schedule.

[0036] The aforementioned BIM model-based steel structure hoisting control system for shell outfitting and coating plant includes a multi-machine collaborative scheduling module that controls the hoisting synchronization error of multiple hoisting devices within the range of 5 mm to 20 mm and the rotation angle synchronization error within the range of 0.5 degrees to 2 degrees. By correcting the action parameters of each device through real-time position feedback closed loop, the system ensures the stability and positioning accuracy of the hoisting process for large-span heavy steel structure components.

[0037] The above solution employs closed-loop control to precisely regulate the synchronization of multiple machines' movements. This effectively reduces the additional internal forces on components caused by asynchronous movements during multi-machine collaborative operations, improving the stability of the heavy component hoisting process. Good synchronization also ensures the final positioning accuracy of the components, reducing subsequent correction and adjustment work, and improving the hoisting quality and construction efficiency of large-span heavy steel structures.

[0038] The present invention has the following beneficial effects: 1. The entire system incorporates an independent module to complete the verification of three types of process constraints during the design phase: coating explosion-proof, outfitting pre-embedding, and ground load-bearing capacity. This eliminates the need to address process conflicts during the construction phase. By unifying and integrating data from all disciplines through a digital model, the system eliminates information gaps caused by data segmentation between different disciplines. Construction plans are prepared simultaneously, taking into account the requirements of hoisting operations and subsequent production processes. This reduces the need for plan modifications and work stoppages during on-site construction, ensuring smoother transitions between construction steps and shortening overall construction time.

[0039] 2. The system simultaneously collects multiple on-site data, including component posture, installation dimensions, component stress, and ground load, eliminating blind spots in control that exist with single monitoring dimensions. All monitoring data is synchronously integrated into the scheduling and early warning systems. Different handling methods are applied based on the degree of risk impact: safety risks can be quickly shut down, while accuracy and process-related risks are handled with flexible adjustments, mitigating various construction safety hazards without excessively disrupting the normal construction schedule. Monitoring dimensional standards are maintained in accordance with outfitting construction, eliminating installation deviations caused by mismatched dimensional standards across different processes and improving the overall construction quality of the plant.

[0040] 3. The scheduling module centrally manages the actions of multiple lifting devices. Equipment operation is synchronized throughout the entire process, adhering to explosion-proof area control rules and pre-embedded procedure time requirements. The synchronization of equipment actions is stably controlled, reducing swaying and uneven stress during the hoisting of heavy components. Built-in explosion-proof control logic differentiates equipment access standards for different areas, controlling potential risks arising from equipment operation while balancing construction safety and on-site traffic efficiency. When ground load approaches its limit, the module automatically adjusts equipment positioning to distribute ground stress, reducing the probability of ground structural damage and lowering the additional costs of subsequent ground repairs.

[0041] 4. Once the components are installed to the required standard, the system automatically sends an outfitting commencement signal, eliminating the need for on-site personnel to relay construction completion information. This avoids information omissions and delays caused by manual communication, reduces waiting intervals between processes, and improves on-site construction workflow efficiency. Abnormal warning information is simultaneously fed back to the process adaptation module, updating subsequent construction plans concurrently with hoisting adjustments. This enables synchronized adjustments across the entire construction chain, improving the efficiency of handling on-site emergencies.

[0042] 5. The system comprehensively retains all work records and anomaly information for each construction operation. By relying on historical construction data, it optimizes the solution verification logic. When constructing factory buildings of different sizes, with different equipment configurations, and under different ground load-bearing conditions, the control plan is tailored to the actual site conditions, eliminating the need to repeatedly build entirely new control standards. This expands the system's applicable scenarios and reduces the workload of developing control plans for new projects. The entire system is adaptable to factory buildings of various spans, lifting equipment of various specifications, and ground surfaces with different load-bearing standards, making it more versatile and capable of meeting the hoisting control needs of various integrated factory buildings in shipbuilding and repair bases. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the overall architecture of the control system described in this invention; Figure 2 This is a schematic diagram of the structure of the multi-field real-time monitoring module described in this invention; Figure 3 This is a flowchart illustrating the hierarchical early warning and control system described in this invention. Detailed Implementation

[0044] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0045] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual images. They should not be construed as limiting the scope of this application. To better illustrate the embodiments of the present invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual dimensions of the product. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0046] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "inner," and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present application. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0047] In the description of this invention, unless otherwise explicitly specified and limited, the term "connection" or similar designation indicating a connection between components should be interpreted broadly. For example, it can refer to a fixed connection, a detachable connection, or an integral part; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can refer to the internal communication between two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0048] like Figure 1 As shown in this embodiment, a BIM model-based steel structure hoisting and control system for shell outfitting and painting workshops is applied to the construction project of an integrated shell outfitting and painting workshop in a giant shipbuilding and repair base. The workshop has a span of 30 to 120 meters and is equipped with an explosion-proof painting zone and outfitting pre-embedded work positions. The design load range of the workshop floor is 5 to 30 tons per square meter. The system is compatible with hoisting equipment with a rated lifting capacity of 50 to 500 tons per unit and supports the collaborative operation of 2 to 6 hoisting equipment.

[0049] 1. BIM Model Building Module: The BIM model building module constructs a comprehensive digital model of the shell outfitting and coating plant, encompassing parameters for steel structure components, civil engineering structures, hoisting equipment, outfitting and coating process pipelines, coating explosion-proof zones, and high-load floor bearing capacity. The module assigns a unique identification code to each component and process node, and associates the corresponding component's mechanical properties, installation accuracy requirements, and construction method constraints with that code, forming a callable digital management and control database.

[0050] The fully digital model integrates design data from multiple disciplines, including architecture, structure, MEP, and process, eliminating information barriers between disciplines and providing a unified data foundation for subsequent scheme planning and adaptation verification. Each steel structure component has a unique identification code associated with the corresponding outfitting pre-embedded node's process triggering conditions. Once the component is hoisted into place and the positional accuracy meets the preset requirements, the BIM model building module automatically pushes a process readiness signal to the outfitting construction control terminal, simultaneously unlocking the corresponding outfitting pre-embedded process's operating permissions, achieving seamless connection between hoisting and outfitting processes.

[0051] 2. Shell Outfitting and Coating Method Adaptation Module: The shell outfitting coating method adaptation module extracts three key parameters from the BIM model: the boundary of the explosion-proof coating zone, the pre-embedded nodes of the outfitting work station, and the distribution of high-load ground. During the hoisting scheme planning stage, it completes three adaptation verifications: First, it delineates the prohibited hoisting operation areas and equipment access rules according to the explosion-proof zone level; second, it reserves corresponding time windows for process overlap in combination with the construction rhythm of the outfitting pre-embedded process; and third, it conducts ground load pre-verification on the station locations and walking paths of the hoisting equipment to ensure that the station load is within the allowable range of the ground bearing capacity.

[0052] By adapting the above-mentioned pre-construction plan, spatial and temporal conflicts between hoisting operations and painting and outfitting processes can be avoided from the source of the plan, thus avoiding repeated adjustments to the plan during subsequent construction.

[0053] 3. Lifting Scheme Planning Module: The hoisting scheme planning module reads the full-discipline digital model data and the constraints output by the shell outfitting and coating method adaptation module, conducts spatial collision simulation and load verification, and generates hoisting paths, hoisting point layout schemes and hoisting equipment positioning schemes for steel structure components; at the same time, it matches the zoning construction sequence and process overlap requirements of the shell outfitting and coating plant, generates a phased hoisting operation plan, and clarifies the hoisting sequence and corresponding process windows for each component.

[0054] 4. Multi-machine collaborative scheduling module: The multi-machine collaborative scheduling module receives the work plan output by the hoisting scheme planning module and issues synchronous control commands to multiple hoisting devices, precisely controlling the lifting speed, slewing angle, and travel path of each device. During the operation, the module combines the boundary constraints of the explosion-proof coating zone to limit the operating radius and slewing range of the hoisting devices in real time, prohibiting non-explosion-proof equipment from entering the first-level explosion-proof zone; at the same time, it dynamically adjusts the hoisting sequence according to the overlapping window period of the outfitting pre-embedded process, realizing the coordinated matching of the operation actions of multiple devices with the plant construction methods and processes.

[0055] In terms of collaborative control precision, the module controls the lifting synchronization error of multiple hoisting devices within the range of 5 mm to 20 mm, and the rotation angle synchronization error within the range of 0.5 degrees to 2 degrees. Through real-time position feedback closed-loop correction of the action parameters of each device, the stability and positioning accuracy of the hoisting of large-span heavy steel structure components are ensured.

[0056] The multi-machine collaborative scheduling module has a built-in explosion-proof operation control unit, which can match the level requirements of the coating explosion-proof zone with the explosion-proof level of the hoisting equipment. It restricts non-explosion-proof hoisting equipment from entering the first-level explosion-proof zone, and at the same time regulates the operating speed and mechanical movement range of the hoisting equipment to reduce the risk of static electricity accumulation and sparks during the operation.

[0057] In addition, the multi-machine collaborative scheduling module has a built-in dynamic load-path collaborative optimization unit, which calculates the dynamic ground load influence factor based on the real-time movement status of the hoisting equipment and the ground bearing capacity. Its expression is: ; in, The current static measured load collected by the floor load monitoring unit. The preset floor bearing capacity classification early warning threshold, The travel speed of the hoisting equipment. It is the acceleration due to gravity. This refers to the wheelbase of the hoisting equipment's traveling mechanism. The angular acceleration of the boom rotation. This represents the current slewing radius of the boom; when When the current dynamic equivalent load exceeds the ground bearing capacity safety margin, the multi-machine collaborative scheduling module automatically reduces the traveling speed and slewing angular acceleration of the hoisting equipment, and replans the traveling path to distribute the load, so that... .

[0058] Parameter description table:

[0059] Example: Working condition settings (typical hoisting operation of a shell outfitting plant): Floor design load capacity Take the warning threshold (80% safety line); Static load measured by floor sensor ; Equipment travel speed wheelbase ; angular acceleration radius of gyration ; .

[0060] Initial calculations: ; ; ; determination: The current dynamic equivalent load has exceeded the safety margin of the floor bearing capacity, triggering collaborative optimization.

[0061] Intervention: The multi-machine collaborative scheduling module immediately issues an instruction to reduce the walking speed to... Angular acceleration limited to At the same time, the equipment is planned to be offset laterally by 1.5 meters to distribute the stress on the ground (assuming...). The value dropped slightly to 17.5 due to changes in station location.

[0062] Recalculation after intervention: ; result: The dynamic equivalent load has fallen back to within a safe range, and the system maintains the corrected parameters to continue operating until the operating conditions change again.

[0063] Technical Benefits: Existing technologies can only monitor static loads on the floor and cannot detect the dynamic impact effects generated by equipment movement. This equation transforms the impact of braking and rotational tangential inertia into real-time feedforward indicators, preventing irreversible damage such as structural cracking and settlement caused by instantaneous floor overload from the source. This solves the fundamental flaw of traditional systems that do not exceed limits statically but are unaware of dynamic overloads. Unlike traditional passive overload alarms, this equation achieves proactive prediction—before the peak of the dynamic impact arrives, the system calculates whether an overload is imminent based on the current instantaneous velocity and angular acceleration and intervenes in advance. The control action has evolved from post-event shutdown and remediation to proactive speed adjustment and path modification, minimizing interference with construction efficiency while ensuring safety. The high-load floor bearing capacity parameters are directly derived from the BIM model and dynamically adjusted according to the overlapping windows of the coating explosion-proof zoning and outfitting pre-embedded processes; the path scheduling is synchronously fed back to the multi-machine collaborative scheduling module (path correction) and the shell outfitting coating method adaptation module (process window fine-tuning), realizing closed-loop digital control of model-monitoring-calculation-execution-correction; all input quantities are real-time physical quantities that can be measured and transmitted back on site, without abstract experience or manual parameter tuning items, and are suitable for various types of lifting equipment with different tonnages (50 tons to 500 tons), different wheelbases, and different turning radii. They can be directly deployed in shell outfitting coating plant scenarios with different spans (30 meters to 120 meters) without recalibration; each time The calculated values, trigger records, and control actions are stored in a comprehensive manner in the data review and optimization module. With the accumulation of engineering applications, the system can statistically analyze different working conditions. Distribution patterns, reverse optimization The hierarchical coefficients and path replanning algorithms enable the control accuracy to continuously evolve with the project.

[0064] Working principle and process: Step 1: Real-time acquisition of multi-source data The ground load monitoring subunit in the multi-field real-time sensor system acquires and transmits data at a frequency of no less than 1Hz; the dynamic load-path collaborative optimization unit; the equipment walking encoder and rotary encoder synchronously provide real-time data. and The BIM model, combined with the current construction phase and work sequence plan, pushes corresponding... and inherent parameters of the equipment , .

[0065] Step 2: Online Calculation of Dynamic Factors The dynamic load-path collaborative optimization unit substitutes the above real-time data into the equation to complete a safety margin determination within each control cycle (0.5 to 1 second), and the calculation results are displayed synchronously on each control terminal on site.

[0066] Step 3: Logical Judgment and Hierarchical Response like The system determines that the current operation parameters are within a safe range, maintains the existing scheduling instructions, and only performs routine monitoring and recording. like The system determines that the dynamic equivalent load has reached the ground bearing capacity limit and immediately triggers a three-level linkage response strategy: ① Level 1 (Drive Force Control): The electro-hydraulic control system forcibly reduces walking speed and turning angular acceleration to reduce inertial impact sources; ② Level 2 (Path Replanning): Based on the load cloud map of the ground zoning in the BIM model, a new walking path is replanned to avoid high-stress weak areas, and the load coordinates are sent to the equipment automatic driving unit; ③ Level 3 (Process Coordination Feedback): The over-limit event and control actions are pushed to the shell outfitting and coating method adaptation module simultaneously, prompting whether the subsequent coating / outfitting process overlap window needs fine-tuning, ensuring the coordinated response of the entire construction chain.

[0067] Step 4: Closed-loop iterative correction. After executing the control action, the system resamples and calculates. value: If it has been restored If so, the current job parameters will be locked and the operation will continue. If it still satisfies If the speed is reduced, the amplitude is limited, or the path is further adjusted until the safety conditions are met, the iteration continues.

[0068] Step 5: Data Accumulation and Iterative Optimization all Calculated values, trigger times, corresponding operating parameters, control actions, and recovery times are all stored in the data review and optimization module. During the review phase after project completion, the system automatically generates an operating load analysis report; continuous statistical patterns are fed back to the scheme planning module, making subsequent scheme planning for similar factory construction projects more closely aligned with actual dynamic load characteristics, thus achieving continuous evolution of the system's control accuracy.

[0069] 5. Multi-field real-time monitoring module: like Figure 2 As shown, the multi-field real-time monitoring module includes a component attitude monitoring subunit, a position accuracy monitoring subunit, a structural stress monitoring subunit, and a ground load monitoring subunit.

[0070] The component attitude monitoring subunit collects the tilt angle and torsion of the steel structure components during the hoisting process through tilt sensors, and monitors the stability of the components in real time. The position accuracy monitoring subunit uses an intelligent measurement robot to collect the spatial coordinates and installation deviations of components. The data collection frequency is 0.5 to 2 times per second, and the position monitoring accuracy is controlled within the range of 0.5 mm to 3 mm. The accuracy benchmark of this subunit is consistent with the outfitting process benchmark. The collected real-time data is synchronously transmitted to the BIM model building module to complete the dynamic update of the BIM model and the linkage correction of the process benchmark. The structural stress monitoring subunit collects stress values ​​at lifting points and key sections of components using strain sensors to monitor the stress safety of components during the lifting process. The floor load monitoring subunit collects actual floor load and deformation data in the area where the hoisting equipment is located by using stress and deformation sensors arranged in the floor.

[0071] The output of the floor load monitoring subunit is connected to the input of the multi-machine collaborative scheduling module. When the actual load value collected by the floor load monitoring subunit reaches 80% to 90% of the floor bearing capacity threshold, the multi-machine collaborative scheduling module automatically adjusts the walking path and station position of the hoisting equipment to disperse the load distribution and avoid local overload damage to the floor.

[0072] 6. Closed-loop early warning and control module: The output of the closed-loop early warning and control module is also connected to the input of the shell outfitting and coating method adaptation module. The module has preset graded thresholds, including component attitude threshold, position deviation threshold, structural stress threshold and ground load threshold.

[0073] like Figure 3 As shown, the grading thresholds are divided into three levels: Level 1 thresholds correspond to structural safety failure risks, and upon triggering, a machine-wide work stoppage command is immediately issued; Level 2 thresholds correspond to installation accuracy exceeding limits risks, and upon triggering, a work speed reduction and real-time path correction command is issued; Level 3 thresholds correspond to process connection deviation risks, and upon triggering, a process window adjustment prompt is pushed to the shell outfitting and coating method adaptation module to achieve graded differentiated control.

[0074] During the operation, the closed-loop early warning and control module compares the various data collected by the multi-field real-time monitoring module with the corresponding grade thresholds. When the data exceeds the corresponding threshold, it outputs the corresponding level of early warning signal, and at the same time sends control instructions for speed adjustment, path correction or suspension of operation to the multi-machine collaborative scheduling module. It also synchronizes the early warning data to the shell outfitting and coating method adaptation module to adjust the process interleaving plan.

[0075] 7. Data review and optimization module: The system also includes a data review and optimization module, whose input is connected to the output of the multi-field real-time monitoring module and the closed-loop early warning and control module, and whose output is connected to the input of the hoisting scheme planning module.

[0076] The data review and optimization module stores operational data, early warning records, and process adaptation deviation data for the entire hoisting process. It generates a collaborative analysis report for the entire process of hoisting, outfitting, and painting. Based on historical data, it iteratively optimizes the collision verification rules and load verification parameters of the hoisting scheme planning module, enabling the system to continuously optimize control accuracy and adaptability as engineering applications progress.

[0077] In summary, the working principle of the BIM model-based steel structure hoisting control system for shell outfitting and coating plant provided in this embodiment is as follows: The entire system relies on multiple modules to transmit data sequentially and two-way interactive feedback to form a complete control link. The overall process is divided into three stages: preliminary scheme design, on-site real-time control, and post-event data optimization.

[0078] In the preliminary design phase, the BIM model building module integrates all data related to the factory building, steel structure, lifting equipment, painting and outfitting processes, and ground bearing capacity. It assigns unique identification tags to each component and process node, and simultaneously records various construction constraints. The shell outfitting and painting method adaptation module reads painting zones, embedded work positions, and ground bearing capacity data from the model, delineates restricted areas for hoisting operations and the timing of process overlaps, and outputs the constraints to the hoisting scheme planning module. The hoisting scheme planning module combines model data and process constraints to perform dual checks on spatial collision and stress, generating a phased hoisting operation plan. This plan data is then transmitted to the multi-machine collaborative scheduling module.

[0079] During the real-time on-site control phase, the multi-machine collaborative scheduling module issues synchronized action commands to multiple lifting devices according to the established plan. Throughout the operation, it continuously adjusts the equipment's operating range and construction sequence based on the painting area boundaries and the rhythm of pre-embedded processes. The multi-site real-time monitoring module simultaneously collects four types of on-site status data: component posture, installation position, component stress, and ground load. This data is synchronously transmitted to the multi-machine collaborative scheduling module and the closed-loop early warning and control module. The closed-loop early warning and control module compares the monitoring data against preset grading standards. If a value exceeds the allowable range, it issues a corresponding adjustment command to the multi-machine collaborative scheduling module based on the risk level, and simultaneously transmits the abnormal information to the shell outfitting and coating method adaptation module, updating the process scheduling accordingly. Once the component installation dimensions meet the standards, the BIM model building module automatically pushes a commencement signal, unlocking the corresponding outfitting process's construction permissions.

[0080] In the post-event data optimization phase, all operation and anomaly records generated by the multi-field real-time monitoring module and the closed-loop early warning and control module are uniformly transmitted to the data review and optimization module. The module organizes the construction records of the entire process to form analysis data, and reversely adjusts the verification rules and judgment criteria in the hoisting scheme planning module to complete the iterative update of the entire set of control logic.

[0081] How to use: The first step is to build a digital model of the factory. Staff members input all parameters of the factory's civil engineering, steel structure, lifting equipment, painting and ventilation pipelines, explosion-proof zones, and ground bearing capacity into the BIM model building module. The system automatically generates an independent identification mark for each steel component and each pre-embedded work position, and simultaneously inputs the component stress standards, installation size requirements, and various process construction restrictions to generate a complete digital model of the factory.

[0082] The second step involves pre-adaptation of the hoisting plan. The shell outfitting and coating method adaptation module automatically extracts relevant process parameters from the model. Staff verify the system's defined no-hoisting zones, reserved construction windows for pre-embedded processes, and permitted equipment positioning ranges. After confirming the adaptation results, the constraint parameters are pushed to the hoisting plan planning module. This module automatically performs spatial collision simulation and stress calculation, generating batch hoisting plans. After staff verify the plan content is correct, it is sent to the multi-machine collaborative scheduling module.

[0083] The third step involves initiating on-site hoisting operation management. After receiving the plan, the multi-machine collaborative scheduling module issues basic action instructions to all hoisting equipment on site. During equipment operation, the module's built-in explosion-proof control unit continuously verifies the compatibility between equipment specifications and the work area, dynamically adjusting the equipment's operating range and work rhythm. Simultaneously, a multi-site real-time monitoring module initiates data acquisition. The measuring equipment uniformly adopts the dimensional standards used in outfitting construction, and the acquired on-site data is transmitted back in real-time to update the digital model.

[0084] The fourth step involves handling on-site anomalies. The closed-loop early warning and control module continuously compares monitoring data with the grading judgment standards. When data exceeds limits, the system automatically issues commands to the lifting equipment to slow down, adjust the route, or stop. Simultaneously, the anomaly information is transmitted to the shell outfitting and coating method adaptation module. Workers adjust the subsequent outfitting and coating construction time according to the system's notification. When the ground load approaches the allowable upper limit, the scheduling module automatically changes the lifting equipment's travel route to distribute the ground stress. Once the component installation dimensions meet the standards, the system automatically sends a commencement notice to the outfitting control terminal, allowing on-site construction personnel to begin pre-embedding work.

[0085] After the fifth step of construction is completed, a data review and optimization is conducted. With all hoisting procedures finished, the data review and optimization module summarizes all construction data, anomaly warning records, and process connection deviation information, generating complete construction analysis data. After technical personnel review the analysis data, the system automatically updates the spatial collision and stress calculation parameters within the hoisting scheme planning module. Subsequent construction of similar factory buildings can directly utilize the optimized control logic.

[0086] The above are merely preferred embodiments of the present invention and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should recognize that any equivalent substitutions and obvious changes made based on the description and illustrations of the present invention should be included within the protection scope of the present invention.

Claims

1. A BIM model-based steel structure hoisting control system for shell outfitting and coating plant, characterized in that, It includes a BIM model building module, a hoisting scheme planning module, a shell outfitting and painting method adaptation module, a multi-machine collaborative scheduling module, a multi-field real-time monitoring module, and a closed-loop early warning and control module; The output of the BIM model building module is connected to the input of the hoisting scheme planning module and the shell outfitting and coating method adaptation module, respectively. The output of the shell outfitting and coating method adaptation module is connected to the input of the hoisting scheme planning module. The output of the hoisting scheme planning module is connected to the input of the multi-machine collaborative scheduling module. The output of the multi-field real-time monitoring module is connected to the input of the multi-machine collaborative scheduling module and the closed-loop early warning and control module, respectively. The output of the closed-loop early warning and control module is connected to the input of the multi-machine collaborative scheduling module.

2. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 1, characterized in that, The BIM model building module is used to build a full-discipline digital model of the shell outfitting and coating plant. The full-discipline digital model includes parameters of steel structure components, civil structure parameters, hoisting equipment parameters, outfitting and coating process pipeline parameters, coating explosion-proof zone parameters, and high-load floor bearing capacity parameters. The BIM model building module assigns a unique identification code to each component and process node and associates it with corresponding mechanical properties, installation accuracy requirements, and construction method constraints.

3. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 2, characterized in that, The hoisting scheme planning module is used to read the digital model data of all disciplines, generate the steel structure hoisting path, hoisting point layout scheme and hoisting equipment positioning scheme through spatial collision simulation and load verification, and at the same time match the construction sequence and process overlap requirements of the shell outfitting and coating plant to generate a phased hoisting operation plan.

4. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 1, characterized in that, The shell outfitting and coating method adaptation module is used to extract the coating explosion-proof zone boundary, outfitting station embedded nodes, and high-load floor distribution parameters from the BIM model. During the hoisting scheme planning stage, it delineates the explosion-proof no-hoisting operation area, reserves windows for the interleaving of outfitting embedded processes, and verifies the floor load threshold of the hoisting equipment station, thereby avoiding spatial and temporal conflicts between hoisting operations and subsequent outfitting and coating processes.

5. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 1, characterized in that, The multi-machine collaborative scheduling module is used to receive the work plan output by the hoisting scheme planning module, issue synchronous control commands to multiple hoisting devices, and regulate the lifting speed, slewing angle and travel path of each hoisting device; at the same time, it combines the boundary constraints of the coating explosion-proof zone to regulate the working radius and slewing range of the hoisting devices, and adjusts the hoisting sequence to match the overlapping window period of the outfitting pre-embedded process, so as to realize the coordinated matching of the operation actions of multiple devices and the construction process of the plant.

6. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 1, characterized in that, The multi-field real-time monitoring module includes a component attitude monitoring subunit, a position accuracy monitoring subunit, a structural stress monitoring subunit, and a ground load monitoring subunit. The component attitude monitoring subunit is used to collect the tilt angle and torsion of the steel structure components during hoisting. The position accuracy monitoring subunit is used to collect the spatial coordinates and installation deviations of the components. The structural stress monitoring subunit is used to collect the stress values ​​of the hoisting points and key sections of the components. The ground load monitoring subunit is used to collect the actual ground load and deformation data of the hoisting equipment's station area.

7. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 6, characterized in that, The position accuracy monitoring subunit uses an intelligent measurement robot to collect data at a frequency of 0.5 to 2 times per second, with the position monitoring accuracy controlled within the range of 0.5 mm to 3 mm. The accuracy benchmark of the position accuracy monitoring subunit is consistent with the outfitting process benchmark, and the collected real-time data is synchronously transmitted to the BIM model building module to complete the dynamic update of the BIM model and the linkage correction of the process benchmark.

8. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 1, characterized in that, The output of the closed-loop early warning and control module is also connected to the input of the shell outfitting and coating method adaptation module. The closed-loop early warning and control module has preset graded thresholds, which include component attitude threshold, position deviation threshold, structural stress threshold and ground load threshold. These thresholds are used to compare various data collected by the multi-field real-time monitoring module with the corresponding graded thresholds. When the data exceeds the corresponding threshold, an early warning signal of the corresponding level is output. At the same time, control instructions for speed adjustment, path correction or suspension of operation are issued to the multi-machine collaborative scheduling module, and the early warning data is synchronized to the shell outfitting and coating method adaptation module to adjust the process interleaving plan.

9. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 1, characterized in that, It also includes a data review and optimization module. The input of the data review and optimization module is connected to the output of the multi-field real-time monitoring module and the closed-loop early warning and control module, respectively. The output of the data review and optimization module is connected to the input of the hoisting scheme planning module. The data review and optimization module is used to store the operation data, early warning records and process adaptation deviation data of the entire hoisting process, generate a collaborative analysis report of the entire process of hoisting-outfitting-painting, and iteratively optimize the collision verification rules and load verification parameters of the hoisting scheme planning module based on historical data.

10. The BIM model-based steel structure hoisting control system for shell outfitting and coating plant as described in claim 5, characterized in that, The multi-machine collaborative scheduling module has a built-in explosion-proof operation control unit. The explosion-proof operation control unit is used to match the level requirements of the coating explosion-proof zone with the explosion-proof level of the hoisting equipment, restrict non-explosion-proof hoisting equipment from entering the first-level explosion-proof zone, and at the same time regulate the operating speed and mechanical movement range of the hoisting equipment to reduce the risk of static electricity accumulation and sparks during the operation.

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