Lightweight construction platform system and multi-objective optimization digital control method thereof

Abstract

The application discloses a light construction platform system and a multi-target optimization digital control method thereof, and the system comprises a steel frame support module configured as a core load-bearing structure of the light construction platform, an external hanging rack installation module configured for realizing installation of an external hanging rack of the construction platform, and an intelligent safety control module configured for intelligently regulating and controlling and safely managing the whole system operation of the construction platform; the steel frame support module is an optimized ordinary steel Bailey frame through double-roller thin strip casting and rolling, that is, the cross section is changed into an equal cross section, the wall thickness is reduced to less than or equal to one half of that of the ordinary steel, and discrete welding is changed into integral forming; the external hanging rack installation module is completed through standard modulus unified component specifications and a gear and rack device. The intelligent safety control module collects parameters, optimizes a jacking system and a regulating and controlling device, and realizes state visualization, alarm and fault diagnosis. The application is helpful to controlling construction cost.

Description

Technical Field

[0001] This invention belongs to the field of construction equipment technology, and more specifically, relates to a lightweight construction platform system and its multi-objective optimization digital control method. Background Technology

[0002] In the field of super high-rise building construction, building-building machines have been widely used due to their advantages of integrated operation, high degree of mechanization, and strong construction controllability. Their core revolves around the construction of a steel platform, integrating formwork systems, lifting equipment, and other components to complete processes such as concrete pouring and rebar installation. A hydraulic jacking system then ascends along the building structure, ensuring construction continuity. With the cooperation of a professional team, a standard floor can be completed in 3 to 6 days, significantly improving construction speed. Compared to traditional piecemeal construction, it also reduces scattered high-altitude work, increases equipment reuse, shortens the construction cycle, and improves overall construction organization efficiency.

[0003] However, current high-rise building machines on the market still face many unresolved practical problems in terms of patented technology, making it difficult to fully meet the actual needs of safety, efficiency, and cost control in the construction of super high-rise buildings. Regarding overall weight and installation / dismantling, existing high-rise building machines are quite heavy, with the steel truss platform accounting for up to 70% of the weight. This places significant load-bearing pressure on the building, increasing construction difficulty. Furthermore, material utilization is low, with redundant materials in variable cross-section profiles. Installation and dismantling are also inefficient and costly. In terms of external scaffolding installation, intelligent formwork platforms often use a piecemeal method of sequentially installing poles, walkway panels, and mesh panels. This process is complex, inefficient, and involves extensive high-altitude work, posing safety hazards. This problem is prevalent in most high-rise building machines.

[0004] In terms of control and monitoring, the insufficient precision and integration of the control system are particularly prominent issues. Lifting control often employs a preset speed synchronization strategy, which is a rigid "open-loop" or simple feedback control. This fails to detect changes in building load distribution and environmental disturbances in real time, easily leading to platform tilting, structural stress concentration, high energy consumption, and significant equipment wear. Furthermore, existing building construction machines can only control the hydraulic lifting system and monitor its status; auxiliary systems such as concrete placing booms, canopies, and sprinklers are not integrated into intelligent control, requiring manual operation and unable to be linked with the main system. This hinders coordinated construction processes and limits the overall level of automation and construction efficiency. These problems collectively restrict the performance improvement of building construction machines and urgently require targeted optimization to meet actual construction needs. Summary of the Invention

[0005] This invention addresses the problems of existing building construction machines, such as large self-weight, low efficiency and safety hazards due to the scattered assembly of external brackets, and insufficient precision and integration of the control system. By optimizing the structural design, improving the installation method of external brackets, and enhancing the integration of control, it reduces the building's load-bearing pressure and safety risks, improves construction efficiency, and adapts to the safety, efficiency, and cost control requirements of super high-rise construction.

[0006] In view of the above-mentioned defects or improvement needs of the prior art, as a first aspect of the present invention, the present invention provides a lightweight construction platform system, comprising:

[0007] The steel frame support module is configured to serve as the core load-bearing structure of the lightweight construction platform; the external bracket installation module is configured to realize the installation of the external bracket of the construction platform; and the intelligent safety control module is configured to intelligently regulate and manage the operation of the entire construction platform system.

[0008] The steel frame support module optimizes the ordinary steel Bailey frame into a thin steel frame through a double-roll thin strip casting and rolling process: First, the variable cross section of the steel is optimized into a constant cross section, and its wall thickness is reduced to half or more of that of ordinary steel; Second, the discrete assembly and welding is optimized into integral molding, so that the Bailey panels and the connecting structure are generated synchronously through roll forming.

[0009] The external bracket installation module adopts a standard modular design, unifying the specifications of components including walkway panels, uprights, protective nets, and flaps, and is equipped with a quick connection device containing a gear and rack linkage mechanism to complete the splicing and fixing of the external bracket module;

[0010] The intelligent safety control module acquires structural, environmental, and equipment parameters through the data acquisition unit, dynamically optimizes the lifting system through the multi-objective optimization control unit, and coordinates and controls the fabric placing machine, canopy, and sprinkler equipment through the auxiliary system integrated control unit. It also realizes status visualization, abnormal alarms, and fault diagnosis through the remote monitoring and early warning unit.

[0011] Furthermore, the external mounting module assembles components, including uprights, on the ground into a standard module. The overall size of the standard module is determined based on the available site area, and the maximum size cannot exceed 6m×6m. Then, the module is hoisted to the outside of the main building by a tower crane on site. The ends of the walkway panels and the ends of the water balance frame between the standard modules are aligned and connected by bolts.

[0012] Furthermore, the gear and rack linkage mechanism includes a main gear, a linkage wheel, a guide wheel, a linkage rack, and a tail hook; the linkage rack is a Z-shaped structure with a row of teeth on one end, which cooperates with the main gear, linkage wheel, and guide wheel to form a telescopic linkage mechanism, and the telescopic distance is adjusted according to the position of the end of the walkway panel to be assembled.

[0013] Furthermore, the other end of the linkage rack has a tail hook, which is the end of the guide rack bent and welded from round steel; when it is necessary to tighten the walkway slab, the tail hook is inserted into the round hole on the side of the walkway slab; then the linkage rack shortens while the entire walkway slab is tightened.

[0014] Furthermore, the specific method for achieving dynamic optimization of the lifting system through the multi-objective optimization control unit is as follows:

[0015] First, using a global dynamic scheduling function, an initial lifting plan is generated based on the target height and maximum average speed of the lifting mission, the pressure, height, and platform tilt angle at various points in the system, as well as environmental information such as wind speed and direction. This plan includes initial speed and target pressure reference values ​​for each point. ,in, This represents the set of initial velocities at each apex. It is the first The initial velocity of each apex point; This represents the set of target pressure reference values ​​for each jacking point. It is the first Reference value for the target pressure at each apex point;

[0016] Next, using a multi-objective comprehensive evaluation function, the jacking scheme is evaluated from four sub-objectives: safety and stability, synchronization accuracy, energy efficiency, and system balance. The data is quantified and weighted to obtain a comprehensive score. Finally, with Starting with model predictive control, embedded particle swarm optimization, or sequential quadratic programming, algorithms are employed for iterative optimization within speed and pressure constraints to seek an optimal comprehensive score. Optimal solution and output Drive the actuator to achieve dynamic optimal control of the lifting system.

[0017] Furthermore, the comprehensive score The calculation method is as follows:

[0018] The overall score It is obtained by weighted summation of four objectives, namely:

[0019] ,in, , which are the weights of the corresponding target scores, and the weights can be dynamically adjusted according to the construction stage;

[0020] The calculation method for representing safety and stability is as follows:

[0021] The three parts on the right side of the formula respectively measure the risk of pressure exceeding limits, the risk of platform tilt angle, and the minimum pressure safety margin; among them, Indicates the lifting scheme The actual pressure value of the lower hydraulic cylinder; This indicates the maximum permissible value of the hydraulic cylinder pressure; These are used to adjust the proportions of pressure over-limit risk, tilt angle risk, and minimum pressure safety margin in the safety stability score, respectively. This represents the variance parameter, used to control the decay rate of the exponential function; Indicates the lifting scheme The actual tilt angle of the lower platform; This indicates the maximum permissible tilt angle of the platform; This represents the minimum pressure safety margin, which is the minimum ratio of the actual pressure of each cylinder to the maximum allowable pressure. It is used to measure the safety redundancy of the system in the pressure dimension.

[0022] The synchronization precision is expressed and calculated as follows:

[0023] Synchronization is quantified by the deviation between the actual height and the target height at each jacking point; among which, Indicates the weighting coefficient; Indicates the number of climax points; Indicates the lifting scheme The target height below; Indicates the lifting scheme Next The actual height of each apex elevation point;

[0024] Energy efficiency is expressed, and the calculation method is as follows:

[0025] The energy consumption is related to the lifting speed and the cylinder pressure; among them, This represents the weighting coefficient, used to adjust the proportion of energy efficiency in the overall score; Indicates the first The apex speed at each apex point; Indicates the lifting scheme Next The actual pressure value of the hydraulic cylinder at each lifting point;

[0026] The system's equilibrium is represented by the following calculation method:

[0027] The system balance is measured by the deviation between the pressure reference value and the actual value; Indicates the weighting coefficient; This represents the average pressure of the hydraulic cylinders at all lifting points;

[0028] The scores of each sub-objective are normalized and then weighted to obtain the comprehensive score. The closer the score is to 1, the better the overall performance of the solution.

[0029] As a second aspect of the present invention, a multi-objective optimization digital control method for a lightweight construction platform system is also provided, which applies the implementation of a lightweight construction platform system as described in any of the preceding claims, comprising:

[0030] S1. Through the data acquisition unit of the intelligent safety control module, the corresponding sensors are activated to collect the structural status parameters of the steel frame, lifting cylinder, and external frame, as well as environmental parameters such as wind speed, temperature, humidity, and ultraviolet radiation, and the operating parameters of the concrete placing machine, canopy, and sprinkler equipment. All parameters are then transmitted to the control center in real time through Internet of Things technology.

[0031] S2. The multi-objective optimization control unit receives the collected parameters, first combines the lifting task requirements with real-time data to generate an initial lifting scheme, then quantifies and scores the initial scheme from the dimensions of safety and stability, synchronization accuracy, energy efficiency, and system balance, and finally iteratively optimizes within the speed and pressure constraints to obtain the optimal scheme and drive the lifting system to execute.

[0032] S3. The auxiliary system integrated control unit, based on the collected environmental parameters, coordinates and regulates the auxiliary equipment: when the temperature is too high or the humidity is too low, the spraying system is activated and the spraying volume is adjusted; when the light or ultraviolet radiation exceeds the standard and the wind speed is appropriate, the opening and closing degree of the canopy is controlled; and the feed and discharge flow of the material placing machine is adjusted in combination with the material placing cycle and temperature and humidity.

[0033] S4. The remote monitoring and early warning unit displays the system's operating status on the cloud platform through 3D visualization. When parameters exceed thresholds or equipment malfunctions, it triggers alarms and provides maintenance suggestions through self-diagnosis. At the same time, it stores historical data to support subsequent optimization and form a closed-loop control.

[0034] Furthermore, the evaluation function for the spray volume in S3 includes:

[0035] ,in, For time Spray volume index of the hourly sprinkler system The first adjustment factor in the sprinkler system spray volume evaluation function. For time ambient temperature, This is the second adjustment factor in the sprinkler system spray volume evaluation function. For a moment The ambient humidity, i.e., the current air humidity. The target value for ambient humidity. This is the third adjustment factor in the sprinkler system spray volume evaluation function. This is the fourth adjustment factor in the sprinkler system spray volume evaluation function. This is the fifth adjustment factor in the sprinkler system spray volume evaluation function. This is the sixth adjustment factor in the sprinkler system spray volume evaluation function. The number of ground sampling points. For time The current floor level Location Ground humidity at the location The target value for ground humidity. This is the seventh adjustment factor in the spray volume evaluation function for the sprinkler system.

[0036] Furthermore, the evaluation function for the degree of canopy opening and closing in S3 includes:

[0037] ,in, The index representing the degree of opening and closing of the canopy. The first adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system is... Given the current light intensity, The light threshold, The second adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system. The ambient temperature, i.e., the current air temperature. Standard ambient temperature, The third adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system. Given the current ultraviolet radiation intensity, To ensure a safe ultraviolet intensity threshold, This is the fourth adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system. This is the fifth adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system. Given the current ambient wind speed, The critical wind speed at which the canopy system would be damaged. This is the sixth adjustment factor in the evaluation function for the opening and closing degree of the skylight system. Air Quality Index. This refers to the air quality threshold.

[0038] Furthermore, the evaluation function for the feed and discharge flow rates of the material placing machine in S3 includes:

[0039] ,in, For time Fabric flow index This is the first adjustment factor in the fabric feed rate evaluation function of the fabric placing machine. For time ambient temperature, This is the optimal operating temperature for the fabric placing machine. This is the second adjustment factor in the fabric feed rate evaluation function of the fabric placing machine. For time ambient humidity, Standard ambient humidity, This is the third adjustment factor in the fabric distribution flow rate evaluation function of the fabric placing machine. This is the fourth adjustment factor in the fabric distribution flow rate evaluation function of the fabric placing machine. For the number of positions, For time At the time of the fabric placing machine Location Air pressure at that location This is the fifth adjustment factor in the fabric distribution flow rate evaluation function of the fabric placing machine. For time The working cycle of the fabric laying machine. This is the maximum working cycle of the fabric placing machine.

[0040] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects:

[0041] 1. This invention discloses a lightweight construction platform system that optimizes the design of ordinary steel Bailey bridge frames for steel frame support modules using a twin-roll thin-strip casting and rolling process, transforming them into thinner steel sections. Specifically, the original variable cross-section of the steel section is optimized to a constant cross-section, reducing the wall thickness to half or more of that of ordinary steel sections. Simultaneously, the traditional discrete assembly and welding process is optimized to integral molding, allowing the Bailey panels and connecting structures to be generated synchronously through roll forming. This design effectively reduces the overall self-weight of the steel frame support module, decreases the load-bearing pressure exerted on the building, alleviates construction difficulties, improves material utilization, reduces redundant material areas of variable cross-section profiles, and reduces the manpower and time consumed during subsequent installation and dismantling, thus helping to control construction costs.

[0042] 2. This invention provides a lightweight construction platform system that standardizes the component specifications of the external scaffolding installation modules through standardized modular design, unifying the dimensional standards of core components such as walkway panels, uprights, protective netting, and flaps. Simultaneously, it equips the modules with a quick-connect device incorporating a gear and rack linkage mechanism. During actual installation, there is no need to sequentially install poles, walkway panels, and netting using traditional high-altitude assembly methods. Instead, the standardized components and quick-connect device directly complete the splicing and fixing of the external scaffolding. This improvement simplifies the installation process of the external scaffolding, increases construction efficiency, reduces the number of scattered high-altitude operations, lowers the safety hazards associated with high-altitude work, and ensures operational safety during construction.

[0043] 3. This invention provides a lightweight construction platform system that, through the establishment of an intelligent safety control module with multi-unit collaborative operation, enables the data acquisition unit to obtain structural, environmental, and equipment parameters in real time. The multi-objective optimization control unit dynamically optimizes the lifting system based on the acquired data. The auxiliary system integrated control unit coordinates and regulates auxiliary equipment such as the concrete placing boom, canopy, and sprinkler system. The remote monitoring and early warning unit enables status visualization, anomaly alarms, and fault diagnosis. This design changes the rigid "open-loop" or simple feedback control mode of traditional building construction machines, enabling real-time perception of load changes and environmental disturbances during construction, avoiding problems such as platform tilting and structural stress concentration. Simultaneously, by integrating the auxiliary system into intelligent control, it achieves linkage between the main system and auxiliary systems, improving the overall automation level and construction collaboration efficiency, while reducing energy consumption and equipment wear. Attached Figure Description

[0044] Figure 1 This is a system unit structure diagram of an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of the Bailey bridge mechanism according to an embodiment of the present invention;

[0046] Figure 3 These are comparison diagrams of the Bailey bridge cross-section before and after optimization according to an embodiment of the present invention; wherein, a corresponds to the original Bailey bridge profile cross-section of "10# channel steel"; sub-diagram b corresponds to the current Bailey bridge material cross-section of "10# channel steel" (roller-pressed steel process design); c corresponds to the original Bailey bridge profile cross-section of "8# I-beam"; d corresponds to the current Bailey bridge material cross-section of "8# I-beam" (roller-pressed steel process design); e corresponds to the original Bailey bridge profile cross-section of "80×40×3mm square tube"; f corresponds to the current Bailey bridge material cross-section of "80×40×3mm square tube" (roller-pressed steel process design).

[0047] Figure 4 This is a comparative schematic diagram of the optimized Bailey bridge structure according to an embodiment of the present invention;

[0048] Figure 5 This is a cloud map showing the equivalent displacement distribution of a 3m Bailey bridge according to an embodiment of the present invention.

[0049] Figure 6 This is an equivalent stress distribution cloud diagram of a 3m Bailey bridge according to an embodiment of the present invention;

[0050] Figure 7 This is a schematic diagram of the equivalent stress of a Bailey bridge according to an embodiment of the present invention;

[0051] Figure 8 This is a schematic diagram of a module quick connection device according to an embodiment of the present invention;

[0052] Figure 9 This is a schematic diagram of the walkway slab before docking according to an embodiment of the present invention;

[0053] Figure 10 This is a schematic diagram of the walkway panels after docking according to an embodiment of the present invention;

[0054] Figure 11 This is a flowchart of a multi-objective optimization digital control method for a lightweight construction platform system according to an embodiment of the present invention;

[0055] Figure 12 This is a control flowchart of the multi-objective optimizer according to an embodiment of the present invention. Detailed Implementation

[0056] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0057] Example 1

[0058] Please refer to Figure 1 This embodiment 1 provides a lightweight construction platform system, including: a steel frame support module configured as the core load-bearing structure of the lightweight construction platform, an external bracket installation module configured to realize the installation of the external bracket of the construction platform, and an intelligent safety control module configured to intelligently regulate and manage the operation of the entire construction platform system.

[0059] This embodiment 1 further elaborates on the above modules.

[0060] (1) Steel frame support module

[0061] The steel frame support module optimizes the design of ordinary steel Bailey bridges into thin steel sections through a double-roll thin strip casting and rolling process: First, the variable cross section of the steel section is optimized into a constant cross section, and its wall thickness is reduced to half or more of that of ordinary steel sections; Second, discrete assembly and welding are optimized into integral molding, so that the Bailey panels and connecting structures are generated synchronously through roll forming.

[0062] Please refer to Figure 2 The steel frame system of traditional building construction machines is composed of various types of Bailey bridges connected by pins. The original structure of a single Bailey bridge is welded from 10# channel steel and 8# I-beam steel, and the two Bailey bridge sections are connected by bolts using 80×40×3mm connecting square tubes.

[0063] Please refer to Figure 3 as well as Figure 4By employing twin-roll thin-strip casting and rolling technology, the relatively bulky ordinary steel Bailey bridge structure is optimized into a thinner steel profile. Firstly, the variable cross-section of the steel profile is optimized to a constant cross-section, and the wall thickness can be reduced to half or more of that of ordinary steel profiles, significantly eliminating material redundancy in the non-load-bearing area of ​​traditional profiles. Secondly, discrete assembly and welding are optimized to integral molding, with the Bailey panels and connecting structures rolled and formed simultaneously, reducing weld points by 70%. Its cross-sectional comparison is as follows: Figure 3 As shown, a corresponds to the original Bailey bridge profile section of "10# channel steel", with a wall thickness of 6.5mm, which is a traditional channel steel section; b corresponds to the current Bailey bridge material section of "10# channel steel" (roller-pressed steel process design), with a wall thickness of 3mm, which is the section form optimized by the roll-pressing process; c corresponds to the original Bailey bridge profile section of "8# I-beam", with a wall thickness of 6.5mm, which is a traditional I-beam section; d corresponds to the current Bailey bridge material section of "8# I-beam" (roller-pressed steel process design), with a wall thickness of 3mm, which is the section form optimized by the roll-pressing process; e corresponds to the original Bailey bridge profile section of "80×40×3mm square tube", with a wall thickness of 3mm, which is a traditional square tube section; f corresponds to the current Bailey bridge material section of "80×40×3mm square tube" (roller-pressed steel process design), with a wall thickness of 1.5mm, which is the section form optimized by the roll-pressing process. Through mechanical calculations and stress analysis, the steel frame weight was reduced by 31% while meeting the requirements for stiffness and strength. This effectively solved the problems of high construction difficulty and high material cost, and significantly improved construction and transportation efficiency.

[0064] Please refer to Figure 5 , Figure 6 as well as Figure 7 In this embodiment 1, a simulation was also performed. The simulation used the large-scale finite element program ABAQUS for modeling, employing SOLID45 elements. The elastic modulus of the steel was E = 210 GPa, and Poisson's ratio μ = 0.3. Gravity was neglected. To better illustrate the problem, the uniformly distributed pressure on the top surface of the upper flange was 0.5 MPa.

[0065] The two displacement cloud maps show consistent color distribution and deformation trends (both show the largest displacement in the top load area, decreasing towards the supports), indicating that the roll forming process did not change the "load-deformation" force transmission logic of the Bailey bridge, and the structural mechanical response is stable. There is no need to re-verify the rationality of deformation due to process adjustments. The maximum displacement of the original process is 9.525e-01mm (approximately 0.95mm), while that of the roll forming process is 9.964e-01mm (approximately 0.99mm). The difference between the two maximum displacements is extremely small (the difference is only ~0.04mm), indicating that the roll forming process did not significantly reduce the overall stiffness of the structure. Under the premise of meeting the displacement limit, the structural deformation performance is basically equivalent.

[0066] The maximum Mises equivalent stress under the roll forming process was significantly reduced from 2.539e+02 MPa in the original process to 1.613e+02 MPa. This indicates that the roll forming process makes the Bailey bridge more uniformly stressed, with a larger safety margin, making the material less prone to plastic deformation and strength failure.

[0067] Based on the above analysis, under the condition of equal strength replacement, the material cross-section of the roll-formed steel fully meets the requirements, and can perfectly achieve the lightweighting of the Bailey bridge, while reducing the cost by 12%.

[0068] (2) External bracket mounting module

[0069] The external bracket installation module adopts a standard modular design, unifying the specifications of components including walkway panels, uprights, protective nets, and flaps, and is equipped with a quick connection device with a gear and rack linkage mechanism to complete the splicing and fixing of the external bracket module;

[0070] Currently, the installation method for building construction machine scaffolding is a piecemeal assembly method, where components such as uprights, walkway panels, and safety nets are installed sequentially at high altitudes. This installation method is inefficient and has a high risk factor at heights. Therefore, to improve installation efficiency, this embodiment 1 proposes a modular structure design. The modular design includes: standard modular design and modular assembly.

[0071] The standard modular design includes standard modular designs for walkway panels, protective netting, and uprights. The standard lengths for walkway panels are 0.6m, 1m, 1.2m, 1.5m, 1.8m, and 3m, totaling six options. These can be arbitrarily combined according to different building shapes. Traditional walkway panels on the market have more than ten modular options, with many non-standard parts and a turnover rate of only about 80%. Compared to this design, the turnover rate of walkway panels can reach up to 98%. The standard lengths for uprights are 4.5m and 3m, allowing for arbitrary splicing to meet different protection height requirements, achieving a 100% turnover rate. The market offers a relatively large variety of upright types. The standard lengths for protective netting are 3m, 2m, and 1m, allowing for arbitrary splicing according to different building shapes and connection to the uprights. The turnover rate can reach 90%. The market offers a relatively large variety of protective netting types and a relatively high rate of non-standard parts. The standard modular design of the flap length is 3m, 2m, 1m and 0.5m, with a turnover rate of up to 90%. There are relatively many types and non-standard rates of protective netting on the market.

[0072] Modular assembly refers to assembling components such as uprights into standard modules on the ground. The overall size of the module is determined based on the available site area, but the maximum size cannot exceed 6m × 6m. The modules are then hoisted to the outside of the main building using a tower crane. The modules are then aligned at the ends of the walkways and the end of the leveling frame, and connected with bolts. This method increases installation efficiency by 40% compared to piecemeal assembly.

[0073] However, during the module connection process, due to insufficient positioning accuracy of the tower crane, the walkway panels often require prolonged manual pulling to barely align them for bolt installation. Furthermore, prolonged pulling can easily deform the module as a whole, resulting in lower overall frame installation efficiency. This is Example 1, a quick connection device for hanging bracket modules; please refer to... Figure 8 , Figure 9 as well as Figure 10 This device employs a gear and rack linkage mechanism, combined with existing tools and wrenches, to enable rapid docking and assembly of walkway panels on each floor of the module, significantly improving the installation efficiency of the building construction machine's external frame. The device includes the following structure: the gear and rack linkage mechanism comprises a main gear, a linkage wheel, a guide wheel, a linkage rack, and a tail hook.

[0074] The device housing is made of 3mm thick steel plate and contains a main gear, a linkage wheel, a guide wheel, etc., which protect the internal gear linkage mechanism.

[0075] Main gear: The main gear consists of a gear and a central shaft, and the gear meshes with the upper and lower linkage racks. The shaft of the main gear is fixed inside the device housing, and one end of the shaft extends 5cm outside the device housing, which can be rotated in conjunction with an external electric wrench to realize the left and right extension and retraction of the linkage racks.

[0076] Linkage wheel: The linkage wheel is composed of gears and a central shaft, and meshes with the upper or lower linkage rack to make the linkage rack run smoothly and stably.

[0077] Guide wheel: The guide wheel consists of a smooth cylindrical wheel and a central shaft, and works in conjunction with the upper or lower linkage rack to ensure the smooth operation of the linkage rack.

[0078] Linkage rack: The linkage rack is a Z-shaped structure. One end has a row of teeth on its surface, which, together with the spur gear, linkage wheel, and guide wheel, forms a telescopic linkage mechanism. The telescopic distance can be adjusted according to the position of the end of the walkway slab to be assembled. The other end has a tail hook that can hook onto the hole on the side of the walkway slab. Then, as the linkage rack shortens, the entire walkway slab is tightened.

[0079] Tail hook: The tail hook is the end of a guide rack bent and welded from round steel. When it is necessary to tighten the walkway slab, the tail hook can be inserted into the round hole on the side of the walkway slab. The linkage rack has a Z-shaped structure, with a row of teeth on one end, which cooperates with the spur gear, linkage wheel, and guide wheel to form a telescopic linkage mechanism. The telescopic distance can be adjusted according to the position of the end of the walkway slab to be assembled. The other end has a tail hook that can hook onto the hole on the side of the walkway slab, and then the linkage rack shortens to tighten the entire walkway slab.

[0080] (3) Intelligent safety control module

[0081] The intelligent safety control module of this embodiment 1 takes multi-objective dynamic optimization as its core. It acquires structural, environmental and equipment parameters through the data acquisition unit, realizes dynamic optimization of the lifting system through the multi-objective optimization control unit, and coordinates and controls the concrete placing machine, canopy and sprinkler equipment through the auxiliary system integrated control unit. It also realizes status visualization, abnormal alarm and fault diagnosis through the remote monitoring and early warning unit.

[0082] Specifically, the intelligent safety control module in Embodiment 1 transforms the lifting control from a single synchronization problem into a real-time optimization problem under multiple objectives of safety, accuracy, and energy efficiency. It also relies on integrated IoT technology to build its architecture and is complemented by a cloud management platform supporting both web and mobile terminals. The module features remote real-time monitoring, abnormal alarm record query, and fault self-diagnosis functions, enabling comprehensive perception and control of the platform's operating status. It can also integrate the automatic control of auxiliary equipment such as the concrete placing boom, canopy system, and sprinkler system, promoting intelligent collaborative operations. Its architecture design, data acquisition and processing mechanism, alarm and self-test function implementation, system interface interaction logic, and multi-device collaborative control strategy are all key areas for patent protection.

[0083] This module establishes a comprehensive data acquisition and processing mechanism. By installing devices such as temperature sensors, humidity sensors, ultraviolet radiation sensors, and wind speed sensors on the construction platform, it acquires environmental parameters such as ambient temperature, humidity, light intensity, ultraviolet intensity, and ambient wind speed in real time. At the same time, it collects key structural and equipment parameters such as structural load distribution, vibration frequency, stress and strain data, and material fatigue state. This provides comprehensive and real-time data support for subsequent model building and control decisions, ensuring that all control and evaluation functions are based on real operational data.

[0084] The module also constructs multi-dimensional assessment models and implements alarm feedback and self-learning optimization. These include a structural safety assessment model that combines multi-parameter fusion algorithms with finite element simulation analysis and actual monitoring data; a component material safety assessment model based on material life prediction algorithms and damage accumulation theory; and an environmental safety impact assessment model that incorporates a meteorological data analysis interface. A comprehensive safety assessment value is obtained by weighted averaging of the three assessment results. When the assessment value exceeds the threshold, an alarm mechanism is automatically triggered, and the abnormality type, risk level, and suggested handling measures are pushed through the APP. At the same time, alarm events are archived and analyzed to continuously optimize model parameters and threshold settings, improving adaptability. In addition, the system interface integrates a three-dimensional visualization monitoring module, which supports remote viewing of equipment status, receiving early warning information, viewing historical reports, and executing emergency response commands, improving operational convenience and management efficiency.

[0085] In a preferred embodiment, the specific method for achieving dynamic optimization of the lifting system via the multi-objective optimization control unit is as follows:

[0086] First, using a global dynamic scheduling function, an initial lifting plan is generated based on the target height and maximum average speed of the lifting mission, the pressure, height, and platform tilt angle at various points in the system, as well as environmental information such as wind speed and direction. This plan includes initial speed and target pressure reference values ​​for each point. ,in, This represents the set of initial velocities at each apex. It is the first The initial velocity of each apex point; This represents the set of target pressure reference values ​​for each jacking point. It is the first Reference value for the target pressure at each apex point;

[0087] Next, using a multi-objective comprehensive evaluation function, the jacking scheme is evaluated from four sub-objectives: safety and stability, synchronization accuracy, energy efficiency, and system balance. The data is quantified and weighted to obtain a comprehensive score. Finally, with Starting with model predictive control, embedded particle swarm optimization, or sequential quadratic programming, algorithms are employed for iterative optimization within speed and pressure constraints to seek an optimal comprehensive score. Optimal solution and output Drive the actuator to achieve dynamic optimal control of the lifting system.

[0088] Specifically, the overall score The calculation method is as follows:

[0089] The overall score It is obtained by weighted summation of four objectives, namely:

[0090] ,in, , which are the weights of the corresponding target scores, and the weights can be dynamically adjusted according to the construction stage;

[0091] The calculation method for representing safety and stability is as follows:

[0092] The three parts on the right side of the formula respectively measure the risk of pressure exceeding limits, the risk of platform tilt angle, and the minimum pressure safety margin; among them, Indicates the lifting scheme The actual pressure value of the lower hydraulic cylinder; This indicates the maximum permissible value of the hydraulic cylinder pressure; These are used to adjust the proportions of pressure over-limit risk, tilt angle risk, and minimum pressure safety margin in the safety stability score, respectively. This represents the variance parameter, used to control the decay rate of the exponential function; Indicates the lifting scheme The actual tilt angle of the lower platform; This indicates the maximum permissible tilt angle of the platform; This represents the minimum pressure safety margin, which is the minimum ratio of the actual pressure of each cylinder to the maximum allowable pressure. It is used to measure the safety redundancy of the system in the pressure dimension.

[0093] The synchronization precision is expressed and calculated as follows:

[0094] Synchronization is quantified by the deviation between the actual height and the target height at each jacking point; among which, Indicates the weighting coefficient; Indicates the number of climax points; Indicates the lifting scheme The target height below; Indicates the lifting scheme Next The actual height of each apex elevation point;

[0095] Energy efficiency is expressed, and the calculation method is as follows:

[0096] The energy consumption is related to the lifting speed and the cylinder pressure; among them, This represents the weighting coefficient, used to adjust the proportion of energy efficiency in the overall score; Indicates the first The apex speed at each apex point; Indicates the lifting scheme Next The actual pressure value of the hydraulic cylinder at each lifting point;

[0097] The system's equilibrium is represented by the following calculation method:

[0098] The system balance is measured by the deviation between the pressure reference value and the actual value; Indicates the weighting coefficient; This represents the average pressure of the hydraulic cylinders at all lifting points;

[0099] The scores of each sub-objective are normalized and then weighted to obtain the comprehensive score. The closer the score is to 1, the better the overall performance of the solution.

[0100] The lightweight construction platform system in Example 1, with its lightweight optimization of the steel frame support module, standardized improvements to the external scaffolding installation module, and multi-objective dynamic collaborative capabilities of the intelligent safety control module, has significant application potential in the field of super high-rise building construction. It effectively addresses the pain points of traditional building construction machines, such as excessive weight, low efficiency and high safety risks associated with the scattered assembly of external scaffolding, and insufficient integration of the control system. It is particularly suitable for the needs of super high-rise projects in urban core areas, which require compact construction space, tight schedules, and stringent safety standards. While ensuring structural safety, it can reduce the building's load-bearing pressure, improve construction efficiency, and control cost consumption, providing a more efficient technical solution for super high-rise construction.

[0101] Meanwhile, the system's intelligent safety control module supports multi-device collaboration and remote cloud management, deeply aligning with the trends of modern industrialized and digitalized construction. It can be applied not only to the construction of new super high-rise buildings but also to existing building renovations and the upgrading of high-altitude work platforms. Its self-learning optimization capabilities and 3D visualization monitoring functions help construction companies achieve refined management throughout the entire process, reducing reliance on manual labor. In the future, it is expected to be further promoted in the construction industry, driving the industry towards a safer, more efficient, and intelligent direction, and providing technical support for the transformation of industrialized construction.

[0102] Example 2

[0103] Please refer to Figure 11 This embodiment 2 provides a multi-objective optimization digital control method for a lightweight construction platform system, applying the implementation of a lightweight construction platform system as described in any of the preceding embodiments, including:

[0104] S1. Through the data acquisition unit of the intelligent safety control module, the corresponding sensors are activated to collect the structural status parameters of the steel frame, lifting cylinder, and external frame, as well as environmental parameters such as wind speed, temperature, humidity, and ultraviolet radiation, and the operating parameters of the concrete placing machine, canopy, and sprinkler equipment. All parameters are then transmitted to the control center in real time through Internet of Things technology.

[0105] S2. The multi-objective optimization control unit receives the collected parameters, first combines the lifting task requirements with real-time data to generate an initial lifting scheme, then quantifies and scores the initial scheme from the dimensions of safety and stability, synchronization accuracy, energy efficiency, and system balance, and finally iteratively optimizes within the speed and pressure constraints to obtain the optimal scheme and drive the lifting system to execute.

[0106] S3. The auxiliary system integrated control unit, based on the collected environmental parameters, coordinates and regulates the auxiliary equipment: when the temperature is too high or the humidity is too low, the spraying system is activated and the spraying volume is adjusted; when the light or ultraviolet radiation exceeds the standard and the wind speed is appropriate, the opening and closing degree of the canopy is controlled; and the feed and discharge flow of the material placing machine is adjusted in combination with the material placing cycle and temperature and humidity.

[0107] S4. The remote monitoring and early warning unit displays the system's operating status on the cloud platform through 3D visualization. When parameters exceed thresholds or equipment malfunctions, it triggers alarms and provides maintenance suggestions through self-diagnosis. At the same time, it stores historical data to support subsequent optimization and form a closed-loop control.

[0108] The method proposed in Example 2 transforms the lifting control from a simple synchronization problem into a real-time optimization problem seeking a dynamic optimal solution under multiple objectives such as safety, accuracy, and energy efficiency. This method constructs an intelligent control hub, the core of which is a multi-objective optimizer. This controller executes the following within each control cycle: Figure 12 The closed-loop process. The intelligent collaborative control process in this embodiment 2 is divided into three key stages:

[0109] First, there is global dynamic scheduling. Based on the lifting task (target height, maximum average speed), system status (pressure, height, and platform tilt angle at each point), and environmental information (wind speed and direction), the system generates an initial lifting plan through a mathematical model. The reference speed is determined by the relationship between the target height and the average height of each point. Then, combined with load balancing adjustments and wind resistance adjustments (based on wind speed and direction), the initial speed and target pressure reference values ​​for each point are finally obtained.

[0110] Next comes real-time optimization, starting with the initial lifting plan, and optimizing the speed (not exceeding the maximum speed). ) and pressure (not exceeding the maximum pressure) Under the constraints of [the given conditions], algorithms such as model predictive control, particle swarm optimization, or sequential quadratic programming are used to iteratively generate candidate solutions within the neighborhood of the initial solution. A multi-objective comprehensive evaluation function is then called to calculate the score until the optimal solution that satisfies the termination conditions (such as the number of iterations or score convergence) is found. .

[0111] Finally, a multi-objective comprehensive evaluation was conducted on the candidate lifting schemes. The system is quantitatively scored across four dimensions: safety and stability, synchronization accuracy, energy efficiency, and system balance. Safety and stability are assessed by considering the risk of pressure exceeding limits, platform tilt angle safety margin, and minimum pressure safety margin. Synchronization accuracy is measured by the deviation between the actual height and the target height at each lifting point. Energy efficiency is related to the energy consumption of lifting speed and cylinder pressure. System balance is determined by the degree of agreement between the pressure reference value and the actual value. The comprehensive score is obtained by weighted summation of all sub-scores (weights can be dynamically adjusted according to the construction stage). The higher the score, the better the overall performance of the solution, which guides the real-time optimization process to select the optimal lifting solution.

[0112] Meanwhile, the entire intelligent safety control system of the construction platform is an intelligent system that centrally controls the canopy system, sprinkler equipment, and concrete placing machine in the building machine. Firstly, temperature sensors, humidity sensors, ultraviolet radiation sensors, and wind speed sensors are installed on the construction platform to obtain relevant operating information of the aerial building machine in real time, including various parameters such as ambient temperature, ambient humidity, light intensity, ultraviolet intensity, and ambient wind speed, as well as their corresponding target values ​​or thresholds. When the ambient temperature is detected to be too high (above 30℃) or the humidity too low (<30%RH), the sprinkler system will automatically open and automatically control the amount of spray according to an evaluation function to cool and humidify the work surface. When ultraviolet radiation and light are too strong (continuously above 10W / m²), and the wind speed is between 0.1-0.3m / s, the canopy system will automatically open, and the opening and closing degree of the canopy will be automatically controlled according to an evaluation function. Based on the concrete placing cycle and ambient temperature and humidity data, and based on the evaluation function, the automatic control of the concrete placing machine's feed and discharge flow rates is also implemented.

[0113] Secondly, an adaptive scheduling and control function for the overall system is constructed, calculating the adaptive scheduling index based on the collected work information. This function includes three sub-evaluation functions: the concrete placing machine's material flow rate, the canopy system's canopy opening and closing degree, and the sprinkler system's spraying volume, corresponding to the operating status and environmental response capabilities of the three core subsystems, respectively. The concrete placing machine's material flow rate evaluation function dynamically calculates the material placing efficiency coefficient based on parameters such as the material placing cycle and ambient temperature and humidity; the canopy system's canopy opening and closing degree evaluation function assesses the adjustment range of the canopy's shading degree based on data on light intensity, ultraviolet radiation, and wind speed; and the sprinkler system's spraying volume evaluation function optimizes the spraying strategy based on humidity deviation, ambient temperature and humidity, and light conditions.

[0114] When the overall system adaptive scheduling index exceeds the preset threshold, the control system automatically adjusts the material placement rate of the concrete placing machine, the opening and closing degree of the canopy system, and the spraying volume of the sprinkler system in a coordinated manner. It continuously monitors feedback data and updates the output value of the scheduling control function until the index falls back below the threshold, ensuring that the building construction machine operates efficiently, stably, and safely.

[0115] Furthermore, the evaluation function for the feed and discharge flow rates of the concrete placing boom includes:

[0116] ,in, For time Fabric flow index This is the first adjustment factor in the fabric feed rate evaluation function of the fabric placing machine. For time ambient temperature, This is the optimal operating temperature for the fabric placing machine. This is the second adjustment factor in the fabric feed rate evaluation function of the fabric placing machine. For time ambient humidity, Standard ambient humidity, This is the third adjustment factor in the fabric distribution flow rate evaluation function of the fabric placing machine. This is the fourth adjustment factor in the fabric distribution flow rate evaluation function of the fabric placing machine. For the number of positions, For time At the time of the fabric placing machine Location Air pressure at that location This is the fifth adjustment factor in the fabric distribution flow rate evaluation function of the fabric placing machine. For time The working cycle of the fabric laying machine. This is the maximum working cycle of the fabric placing machine.

[0117] Furthermore, the evaluation function for the degree of canopy opening and closing includes:

[0118] ,in, The index representing the degree of opening and closing of the canopy. The first adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system is... Given the current light intensity, The light threshold, The second adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system. The ambient temperature, i.e., the current air temperature. Standard ambient temperature, The third adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system. Given the current ultraviolet radiation intensity, To ensure a safe ultraviolet intensity threshold, This is the fourth adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system. This is the fifth adjustment factor in the evaluation function for the opening and closing degree of the sky canopy system. Given the current ambient wind speed, The critical wind speed at which the canopy system would be damaged. This is the sixth adjustment factor in the evaluation function for the opening and closing degree of the skylight system. Air Quality Index. This refers to the air quality threshold.

[0119] Furthermore, the evaluation function for spray volume includes:

[0120] ,in, For time Spray volume index of the hourly sprinkler system The first adjustment factor in the sprinkler system spray volume evaluation function. For time ambient temperature, This is the second adjustment factor in the sprinkler system spray volume evaluation function. For a moment The ambient humidity, i.e., the current air humidity. The target value for ambient humidity. This is the third adjustment factor in the sprinkler system spray volume evaluation function. This is the fourth adjustment factor in the sprinkler system spray volume evaluation function. This is the fifth adjustment factor in the sprinkler system spray volume evaluation function. This is the sixth adjustment factor in the sprinkler system spray volume evaluation function. The number of ground sampling points. For time The current floor level Location Ground humidity at the location The target value for ground humidity. This is the seventh adjustment factor in the spray volume evaluation function for the sprinkler system.

[0121] Furthermore, the overall system adaptive scheduling control function includes:

[0122] ,in, The overall system adaptive scheduling index. This is the first adjustment factor in the overall system's adaptive scheduling control function. This refers to the material flow rate index of the fabric placing machine. This is the second adjustment factor of the overall system adaptive scheduling control function. The target angle index for the sky screen. This is the third adjustment factor in the overall system's adaptive scheduling control function. The target spray volume index for the sprinkler system. This is the fourth adjustment factor in the overall system's adaptive scheduling control function. The current system load, For the target system load, This is the fifth adjustment factor in the overall system's adaptive scheduling control function. The rate of change of construction progress. The target is the rate of change in construction progress.

[0123] Furthermore, all adjustment factors are fitted using the least squares method or the ant colony algorithm.

[0124] Furthermore, it also includes: normalizing the material flow rate of the fabric placing machine to the material flow rate index of the fabric placing machine. The target angle of the canopy is normalized into the target angle index of the canopy. The target spray volume of the sprinkler system is normalized into the target spray volume index of the sprinkler system. .

[0125] Furthermore, it also includes: the material flow rate index of the fabric placing machine. Target angle index of the canopy and the target spray volume index of the sprinkler system The numerical ranges are respectively related to time. Fabric flow index The degree of opening and closing of the canopy and time Spray volume index of hourly sprinkler system The numerical ranges are consistent.

[0126] Each functional module interacts with information through a unified data interface, forming a closed-loop feedback control mechanism. This enhances the intelligence level and environmental adaptability of the intelligent formwork platform, reduces the frequency of manual intervention, improves construction efficiency and quality, ensures equipment operation safety, and meets the automation and intelligent control requirements of high-rise building construction.

[0127] In summary, the intelligent safety control system and method provided in Embodiment 2 achieve comprehensive and multi-dimensional dynamic monitoring and intelligent regulation of environmental parameters, equipment status, and construction requirements during the operation of the aerial building machine. This method features closed-loop feedback, automatic adjustment, and continuous optimization, significantly reducing the frequency of manual intervention, improving construction efficiency and quality, and meeting the growing technical demands of modern high-rise buildings for automated, information-based, and intelligent control.

[0128] The intelligent collaborative control method based on multi-objective dynamic optimization in Example 2, with its real-time multi-objective optimization capability for jacking control, can be widely applied to various super high-rise and long-span building construction machines and lightweight construction platforms. In super high-rise construction scenarios, it can effectively solve the problems of platform tilting, stress concentration, and high energy consumption under traditional control modes. By dynamically balancing safety, accuracy, and energy efficiency, it ensures construction continuity and structural safety. It is particularly suitable for landmark super high-rise projects with tight schedules and stringent requirements for construction efficiency and safety, helping construction companies achieve efficient construction under complex conditions.

[0129] Meanwhile, the method's multi-objective comprehensive evaluation and real-time optimization mechanism can be deeply integrated with the development trend of building industrialization and intelligence. Besides building construction machines, it can also be extended to bridge construction platforms, large stadium construction lifting equipment, and other fields. Through data-driven dynamic optimization logic, it can adapt to the personalized needs of different building structures and construction environments. As the construction industry's reliance on intelligent construction increases, it is expected to become a core technology solution for the intelligent control of various large-scale construction equipment, promoting the transformation of construction from traditional extensive to intelligent and refined methods, and providing technical support for cost reduction, efficiency improvement, and enhanced safety management in the industry.

[0130] Those skilled in the art will readily understand that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A lightweight building platform system, characterized in that The application relates to a steel frame support module configured as a light building platform core load-bearing structure, an external hanging rack installation module configured to realize external hanging rack installation of the building platform, and an intelligent safety control module configured to intelligently regulate and manage overall system operation of the building platform. The steel frame support module is obtained by optimizing a common steel Bailey truss into a thin steel through a double-roller thin strip casting and rolling method, that is, a variable cross-section of the steel is optimized into an equal cross-section, and the wall thickness is reduced to less than or equal to half of that of the common steel; and discrete assembly and welding is optimized into integrated forming, so that the Bailey truss and the connecting structure are synchronously generated through rolling. The external hanging rack installation module is obtained by standard module design, and uniformly includes component specifications such as walkway plates, vertical rods, protective nets and turning plates, and is matched with a quick connecting device with a gear and rack linkage mechanism to complete splicing and fixing of the external hanging rack module. The intelligent safety control module obtains structure, environment and equipment parameters through a data acquisition unit, realizes dynamic optimization of a jacking system through a multi-target optimization control unit, links and controls a cloth distributing machine, a sky screen and a spraying device through an auxiliary system integrated control unit, and realizes state visualization, abnormal alarm and fault diagnosis through a remote monitoring and early warning unit. The external hanging rack installation module assembles parts including vertical rods into standard modules on the ground, the overall size of the standard modules is determined according to the available site area on the site, and the maximum size cannot exceed 6m*6m; then the modules are hoisted to the outside of the building main body through a tower crane on the site, the end of the walkway plate and the end of the horizontal balance frame between the standard modules are aligned, and the walkway plate and the horizontal balance frame are connected through bolts.

2. A lightweight building platform system according to claim 1, wherein, The gear and rack linkage mechanism includes a main gear, a linkage wheel, a guide wheel, a linkage rack and a tail hook; the linkage rack is a Z-shaped structure, one end of the linkage rack is provided with a row of teeth, and the linkage rack, the linkage wheel and the guide wheel form a linkage mechanism capable of realizing stretching and contraction; the stretching and contraction distance is adjusted according to the position of the end of the walkway plate to be assembled.

3. A lightweight building platform system according to claim 1, wherein, The other end of the linkage rack is provided with a tail hook, the tail hook is obtained by bending and welding the end of the guide rack with round steel; when the walkway plate needs to be tensioned, the tail hook is inserted into the round hole in the side edge of the walkway plate; then the linkage rack is shortened, and the walkway plate is tensioned.

4. A lightweight building platform system according to claim 3, wherein, The specific method for realizing dynamic optimization of the jacking system through the multi-target optimization control unit is as follows:

5. A lightweight building platform system according to claim 1, wherein, The application relates to a steel frame support module configured as a light building platform core load-bearing structure, an external hanging rack installation module configured to realize external hanging rack installation of the building platform, and an intelligent safety control module configured to intelligently regulate and manage overall system operation of the building platform. Firstly, the initial lifting scheme including the initial velocity and the target pressure reference value of each point is generated by the global dynamic scheduling function according to the target height, the maximum average speed of the lifting task, the pressure, the height of each point of the system, the platform inclination, and the wind speed and direction of the environment wherein, denotes the initial velocity set of each lifting point, is the initial velocity of the th lifting point; denotes the target pressure reference value set of each lifting point, is the target pressure reference value of the th lifting point; Next, using a multi-objective comprehensive evaluation function, the jacking scheme is evaluated from four sub-objectives: safety and stability, synchronization accuracy, energy efficiency, and system balance. The data is quantified and weighted to obtain a comprehensive score. Finally, with Starting with model predictive control, embedded particle swarm optimization, or sequential quadratic programming, algorithms are employed for iterative optimization within speed and pressure constraints to seek an optimal comprehensive score. Optimal solution and output Drive the actuator to achieve dynamic optimal control of the lifting system.

6. A lightweight building platform system according to claim 5, wherein, The overall score The calculation method is: The composite score is obtained by a weighted sum of the four objectives, i.e.: wherein, , are weights for the corresponding target scores, which can be dynamically adjusted according to the construction stage; represents the safety stability, and the calculation method is as follows: , where the three parts on the right side of the equation measure the risk of pressure overrun, the risk of platform inclination, and the minimum pressure safety margin, respectively; wherein, represents the jacking scheme represents the actual pressure value of the lower oil cylinder; represents the maximum allowable value of the oil cylinder pressure; are used to adjust the proportion of the risk of pressure overrun, the risk of inclination, and the minimum pressure safety margin in the safety stability score, respectively; represents the variance parameter, which is used to control the decay rate of the exponential function; represents the jacking scheme represents the actual inclination value of the lower platform; represents the maximum allowable value of the platform inclination; represents the minimum pressure safety margin, which is the minimum value of the ratio of the actual pressure of each oil cylinder to the maximum allowable pressure, and is used to measure the safety redundancy of the system in the pressure dimension; Synchronization accuracy is represented, and the calculation method is as follows: synchronization is quantified by the deviation of the actual height of each jacking point from the target height; wherein, represents a weight coefficient; represents the number of jacking points; represents the target height under the jacking scheme . represents the actual height of the j-th jacking point under the jacking scheme . . Energy efficiency is expressed in kWh / m3, calculated as follows: The energy consumption is related to the lifting speed and the cylinder pressure; among them, This represents the weighting coefficient, used to adjust the proportion of energy efficiency in the overall score; Indicates the first The apex speed at each apex point; Indicates the lifting scheme Next The actual pressure value of the hydraulic cylinder at each lifting point; The system balance is represented by the following equation: the balance of the system is measured by the deviation of the pressure reference value from the actual value; represents a weight coefficient; represents the average value of the oil cylinder pressures of all the jacking points; The sub-target scores are normalized and weighted to obtain a comprehensive score The closer the score is to 1, the better the comprehensive performance of the scheme.

7. A multi-objective optimization digital control method for a lightweight construction platform system, applied to a lightweight construction platform system according to any one of claims 1-6, characterized in that, S1. Through the data acquisition unit of the intelligent safety control module, corresponding sensors are started to collect structure state parameters of the steel frame, the jacking oil cylinder and the external hanging rack, environmental parameters such as wind speed, temperature and humidity, ultraviolet rays in the environment and operation parameters of the cloth distributing machine, the sky screen and the spraying device, and all the parameters are transmitted to a control center in real time through Internet of Things technology; S2. The multi-target optimization control unit receives the collected parameters, generates an initial jacking scheme in combination with jacking task requirements and real-time data, quantitatively scores the initial scheme from the dimensions of safety stability, synchronization accuracy, energy efficiency and system balance, finally iteratively optimizes the scheme in the speed and pressure constraint range to obtain an optimal scheme and drive the jacking system to execute. ​ S3. The auxiliary system integration control unit controls the auxiliary equipment based on the collected environmental parameters: when the temperature is too high or the humidity is too low, the spraying system is started and the spraying amount is adjusted; when the light or ultraviolet is excessive and the wind speed is appropriate, the opening degree of the sky screen is controlled; the feeding and discharging flow of the cloth machine is adjusted according to the cloth cycle and temperature and humidity; S4. The remote monitoring and early warning unit displays the system running state through three-dimensional visualization on the cloud platform, triggers an alarm when the parameters exceed the threshold or the equipment fails, and gives maintenance suggestions through self-diagnosis, stores historical data, provides support for subsequent optimization, and forms a closed-loop control.

8. The multi-objective optimization digital control method of a light-weight construction platform system according to claim 7, wherein, The evaluation function of the spraying amount in S3 includes: wherein is the time at which the spray quantity index of the sprinkler system is determined, is a first adjustment factor of the spray quantity evaluation function of the sprinkler system, is the time at which the ambient temperature is determined, is a second adjustment factor of the spray quantity evaluation function of the sprinkler system, is the time at which the ambient humidity, i.e. the current air humidity, is determined, is a target value of the ambient humidity, is a third adjustment factor of the spray quantity evaluation function of the sprinkler system, is a fourth adjustment factor of the spray quantity evaluation function of the sprinkler system, is a fifth adjustment factor of the spray quantity evaluation function of the sprinkler system, is a sixth adjustment factor of the spray quantity evaluation function of the sprinkler system, is the number of ground sampling points, is the time at which the ground humidity at the th position of the current floor ground is determined, is a target value of the ground humidity, is a seventh adjustment factor of the spray quantity evaluation function of the sprinkler system.

9. The multi-objective optimization digital control method of a light-weight construction platform system according to claim 7, wherein, The evaluation function of the opening degree of the sky screen in S3 includes: wherein, is a sky shade opening degree index, is a first adjustment factor for the sky shade opening degree assessment function of the sky shade system, is a current light intensity, is a light threshold value, is a second adjustment factor for the sky shade opening degree assessment function of the sky shade system, is an ambient temperature, i.e. a current atmospheric temperature, is a standard ambient temperature, is a third adjustment factor for the sky shade opening degree assessment function of the sky shade system, is a current ultraviolet intensity, is a safe ultraviolet intensity threshold value, is a fourth adjustment factor for the sky shade opening degree assessment function of the sky shade system, is a fifth adjustment factor for the sky shade opening degree assessment function of the sky shade system, is a current ambient wind speed, is a critical wind speed for damage of the sky shade system, is a sixth adjustment factor for the sky shade opening degree assessment function of the sky shade system, is an air quality index, is an air quality threshold value.

10. The multi-objective optimization digital control method of a light-weight construction platform system according to claim 7, wherein, The evaluation function of the feeding and discharging flow of the cloth machine in S3 includes: wherein, is the time at which the material flow index, is a first adjustment factor for the material flow assessment function of the material distributor, is the time at which the ambient temperature, is the optimal working temperature of the material distributor, is a second adjustment factor for the material flow assessment function of the material distributor, is the time at which the ambient humidity, is the standard ambient humidity, is a third adjustment factor for the material flow assessment function of the material distributor, is a fourth adjustment factor for the material flow assessment function of the material distributor, is the number of positions, is the time at which the air pressure, at the position of the material distributor, is a fifth adjustment factor for the material flow assessment function of the material distributor, is the working cycle of the material distributor at the time is the maximum working cycle of the material distributor.

Images