Multi-directional prestress intelligent tensioning control system and method for U-shaped stack box aqueduct
By combining digital twin modules, multi-source sensing networks, and intelligent decision-making centers, the problems of uncontrollable multi-directional prestressing coupling effects and dynamic distortion in U-shaped aqueducts are solved. Real-time optimization of multi-directional steel strand tensioning sequence and force values, as well as dynamic environmental compensation, are achieved, ensuring quantitative closed-loop control of the prestressing domain.
Patent Information
- Application Number
- CN202511569526.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-30
- Publication Date
- 2026-02-06
AI Technical Summary
In existing technologies, the tension forces of the multi-directional steel strands in U-shaped aqueducts interact with each other, causing the prestressed domain to deviate from the design value. Environmental changes lead to dynamic fluctuations in prestress loss, and traditional systems cannot achieve dynamic compensation and data closed-loop optimization.
A digital twin module is used to establish a prestressed time-varying spectrum finite element model. Combined with real-time monitoring data from a multi-source sensing network, data fusion and optimization are performed through an intelligent decision-making center. A closed-loop execution system is used to achieve real-time collaborative optimization of the tensioning sequence and force value of multi-directional steel strands and dynamic environmental compensation.
It achieves real-time collaborative optimization of multi-directional steel strand tensioning sequence and force value, dynamic compensation for changes in environmental and structural conditions, and quantitative closed-loop control to ensure the prestressed domain achievement degree, thereby reducing prestress coupling effects and dynamic distortion.
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Figure CN121480152A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of civil engineering technology, and in particular to a multi-directional prestressed intelligent tensioning control system and method for U-shaped stacked box aqueducts. Background Technology
[0002] The common methods used in the existing technology for setting steel strands in concrete are as follows: ① Sequential tensioning method: single control of tension force or elongation according to a fixed sequence (such as longitudinal first and then vertical); ② Single parameter monitoring: controlling tension force only through oil pressure gauge, or only measuring the elongation of steel strand; ③ Static finite element assistance: simulating prestress distribution with finite element before construction, but without real-time correction during construction.
[0003] The existing technology has the following defects: ① Distortion of the prestressed domain: The tension forces of the multi-directional steel strands (longitudinal / vertical / transverse / circumferential) in the U-shaped aqueduct affect each other, and the fixed tensioning sequence causes the actual prestressed domain to deviate from the design value by 15%-20%; ② Lack of dynamic response: Changes in environmental temperature and humidity, as well as concrete shrinkage and creep, cause real-time fluctuations in prestress loss, which traditional systems cannot dynamically compensate for; ③ Uncontrolled coupling effect: The amount of prestress reduction of the later-tensioned steel strands on the earlier-tensioned steel strands cannot be quantified (e.g., the tensioning of transverse steel strands leads to a longitudinal prestress loss of ≥8%); ④ Data fragmentation: The tensioning equipment, structural monitoring, and environmental perception data are isolated and cannot be optimized in a closed loop. Summary of the Invention
[0004] In view of this, the present application provides a multi-directional prestressed intelligent tensioning control system for U-shaped box girder aqueducts, which overcomes the problems of uncontrollable multi-directional prestressing coupling effect and dynamic distortion of the prestressing domain during construction in the prior art. It achieves real-time collaborative optimization of the multi-directional steel strand tensioning sequence and force value, dynamic compensation tensioning for changes in environmental and structural conditions, and quantitative closed-loop control of the prestressing domain achievement degree. Furthermore, this application also provides a method applicable to the aforementioned multi-directional prestressed intelligent tensioning control system for U-shaped box girder aqueducts.
[0005] To achieve the above objectives, this application provides the following technical solution: A multi-directional prestressed intelligent tensioning control system for a U-shaped stacked box girder aqueduct includes: The digital twin module is used to establish a prestressed time-varying spectrum finite element model of the U-shaped stacked box aqueduct structure, simulate the stress distribution at each construction stage, and output the target prestress domain, which includes the design thresholds for longitudinal, vertical, transverse, and circumferential prestresses; the multi-source sensing network is used to collect the strain of concrete and the effective prestress of steel strands in real time. The intelligent decision-making center is used to integrate multi-source sensing data and digital twin model prediction results to perform tension parameter optimization and dynamic compensation. A closed-loop execution system is used to execute instructions from the intelligent decision-making center and provide feedback on the execution results.
[0006] Optionally, in the above-mentioned U-shaped stacked box girder aqueduct multi-directional prestressed intelligent tensioning control system, the multi-source sensing network includes: Structural sensing: embedded fiber optic grating sensors monitor concrete strain, and vibrating wire stress gauges monitor the effective prestress of steel strands. Equipment sensing: Intelligent tensioning equipment integrates pressure sensors and laser elongation measuring instruments; Environmental sensing: Temperature and humidity sensors monitor the temperature gradient of concrete and the ambient humidity.
[0007] Optionally, in the above-mentioned U-shaped stacked box girder aqueduct multi-directional prestressed intelligent tensioning control system, the intelligent decision-making center includes: The data fusion unit is used to correlate finite element prediction values with real-time monitoring values; The optimization algorithm unit is used to calculate the optimal tensioning sequence and single tensioning force based on the prestressed domain achievement function. The dynamic compensation unit corrects the tension force based on temperature and strain.
[0008] Optionally, in the above-mentioned U-shaped stacked box girder aqueduct multi-directional prestressed intelligent tensioning control system, the closed-loop execution system includes: A tensioning robotic arm is used to receive instructions and perform tensioning. The anchorage shrinkage prediction module is used to predict the shrinkage amount based on historical data, allowing for pre-tensioning by 0.5%-1%. The data feedback module is used to transmit the measured prestressed domain back to the finite element model for iterative updates.
[0009] Optionally, in the above-mentioned U-shaped stacked box aqueduct multi-directional prestressed intelligent tensioning control system, the optimization algorithm unit adopts a multi-objective genetic algorithm or reinforcement learning model, with the goal of achieving a prestressed domain degree of ≥95%, and outputs a tensioning sequence and force value combination that satisfies the minimum coupling loss.
[0010] Optionally, the above-mentioned U-shaped stacked box trough multi-directional prestressed intelligent tensioning control system is equipped with an abnormal response mechanism: when it is detected that tensioning of steel strands in a certain direction causes prestress loss in other directions to exceed the set threshold, a supplementary tensioning command is automatically triggered; among them, when tensioning of transverse steel strands causes longitudinal prestress loss to be greater than 5%, longitudinal steel strand supplementary tensioning is initiated; when the compressive stress in the concrete haunch area exceeds the design value by 10%, the transverse steel strand tensioning in that area is skipped, and the longitudinal steel strands of the bottom plate are tensioned first to release stress.
[0011] Optionally, in the above-mentioned U-shaped stacked box aqueduct multi-directional prestressed intelligent tensioning control system, the dynamic compensation unit is also equipped with an environmental change response strategy: when the ambient temperature rises sharply to above 35°C, causing the elastic modulus of concrete to decrease, the system automatically reduces the tension of all steel strands by 2% to 5% proportionally to prevent concrete cracking or crushing; the tensioning sequence of the steel strands is to first apply 50% of the design tension to the circumferential steel strands, then complete the 100% tensioning of the longitudinal steel strands and the 100% tensioning of the vertical steel strands in sequence, and finally tension the circumferential steel strands to 100% of the design force value to reduce the mutual weakening effect between the circumferential and longitudinal prestresses.
[0012] A method for intelligent prestressing control of a U-shaped stacked box girder aqueduct includes: Step 1: Input the geometric parameters of the U-shaped stacked box aqueduct, the steel strand arrangement and material properties, and generate a prestressed time-varying spectrum model through finite element analysis to determine the target prestressing domain for each construction stage; Step 2: Deploy a multi-source sensing network to collect real-time data on concrete strain, steel strand stress, tension force, elongation, and ambient temperature and humidity. Step 3: Use a data fusion unit to compare the measured prestressed domain with the target prestressed domain and calculate the prestressed domain achievement rate. Step 4: Use an optimization algorithm unit to solve for the optimal tensioning sequence and anisotropic steel strand tension force to minimize prestress coupling loss. Step 5: Use a dynamic compensation unit to correct the tension force in real-time based on temperature changes. Step 6: The closed-loop execution system performs the tensioning operation, with 0.5%~1% over-tensioning implemented before anchoring based on the anchoring shrinkage prediction module. Step 7: After tensioning and anchoring, the data feedback module feeds back the actual prestressed domain data to the digital twin module, updating the creep coefficient and shrinkage parameters in the finite element model to achieve iterative model optimization. Step 8: Repeat steps 2 to 7 until all tensioning procedures are completed.
[0013] Optionally, in the above-mentioned U-shaped stacked box aqueduct multi-directional prestressed intelligent tensioning control method, in step 4, if the concrete temperature drops sharply by more than 10°C, a delayed tensioning command for the vertical steel strands is triggered to avoid stress concentration caused by low-temperature shrinkage.
[0014] This application provides a U-shaped stacked box girder aqueduct multi-directional prestressed intelligent tensioning control system, which solves the problems of uncontrollable multi-directional prestressing coupling effect and dynamic distortion of prestressing domain during construction by using digital twin modules, multi-source sensing networks, intelligent decision-making centers and closed-loop execution systems. It achieves real-time collaborative optimization of multi-directional steel strand tensioning sequence and force value; dynamic compensation tensioning for changes in environmental and structural conditions; and quantitative closed-loop control of prestressing domain achievement degree. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.
[0016] Figure 1 This is a diagram showing the composition of the multi-directional prestressed intelligent tensioning control system for the U-shaped stacked box aqueduct provided in this application; Figure 2 The intelligent tensioning control flowchart provided in this application; Figure 3 This application provides a cross-sectional view of the steel strand arrangement in the U-shaped aqueduct. Figure 4 This is a schematic diagram of the multi-directional steel strand tensioning sequence optimization matrix provided in this application.
[0017] 1. Circumferential steel strands; 2. Vertical steel strands; 3. Transverse steel strands; 4. Longitudinal steel strands. Detailed Implementation
[0018] This application provides a multi-directional prestressed intelligent tensioning control system for U-shaped box girder aqueducts, overcoming the problems of uncontrollable multi-directional prestressing coupling effects and dynamic distortion of the prestressing domain during construction in existing technologies. It achieves real-time collaborative optimization of the multi-directional steel strand tensioning sequence and force values, dynamic compensation tensioning for changes in environmental and structural conditions, and quantitative closed-loop control of the prestressing domain achievement degree. Furthermore, this application also provides a method applicable to the aforementioned multi-directional prestressed intelligent tensioning control system for U-shaped box girder aqueducts.
[0019] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0020] like Figures 1-4 As shown, a multi-directional prestressed intelligent tensioning control system for a U-shaped stacked box aqueduct includes: a digital twin module for establishing a time-varying spectrum finite element model of the prestressed structure of the U-shaped stacked box aqueduct, simulating the stress distribution at each construction stage, and outputting the target prestress domain, which includes design thresholds for longitudinal, vertical, transverse, and circumferential prestresses; a multi-source sensing network for real-time acquisition of concrete strain and effective prestress of steel strands; an intelligent decision center for integrating multi-source sensing data with the prediction results of the digital twin model to perform tensioning parameter optimization and dynamic compensation; and a closed-loop execution system for executing instructions from the intelligent decision center and providing feedback on the execution results.
[0021] This approach addresses the issues of uncontrollable multi-directional prestressing coupling effects and dynamic distortion of the prestressed domain during construction, enabling real-time collaborative optimization of the tensioning sequence and force values of multi-directional steel strands; dynamic compensation tensioning for changes in environmental and structural conditions; and quantitative closed-loop control of the prestressed domain achievement degree.
[0022] Furthermore, the multi-source sensing network includes: structural sensing, with pre-embedded fiber optic grating sensors monitoring concrete strain and vibrating wire stress gauges monitoring the effective prestress of steel strands; equipment sensing, with intelligent tensioning equipment integrating pressure sensors and laser elongation measuring instruments; and environmental sensing, with temperature and humidity sensors monitoring concrete temperature gradients and ambient humidity.
[0023] Specifically, fiber optic grating sensors are pre-embedded in key stress-bearing parts of concrete (such as the base plate, haunches, and side walls) to monitor concrete strain distribution in real time. They offer high spatial resolution, resistance to electromagnetic interference, and good long-term stability. Pressure sensors are integrated into the hydraulic circuit system of intelligent tensioning equipment, with an accuracy of ±0.5%. They collect the hydraulic pressure of the tensioning jacks in real time and convert it into the actual applied tension force. Laser elongation measuring instruments measure the elongation of steel strands during tensioning in a non-contact manner, with an accuracy of ±0.1mm, ensuring compliance with the specifications for "dual control" (tension force + elongation). Temperature and humidity sensors are deployed inside the concrete and on the surface of the structure to monitor temperature gradients and relative humidity, used to assess temperature stress, heat of hydration of concrete, and the rate of shrinkage and creep.
[0024] In an optional embodiment, the intelligent decision center includes: a data fusion unit for correlating finite element prediction values with real-time monitoring values; an optimization algorithm unit for calculating the optimal tensioning sequence and single tensioning force based on the prestressed domain achievement function; and a dynamic compensation unit for correcting the tensioning force according to temperature strain.
[0025] The optimization algorithm unit calculates the optimal tensioning sequence and single tensioning force based on the prestressed domain achievement function:
[0026] The dynamic compensation unit corrects the tension force based on temperature strain:
[0027] α is the temperature compensation coefficient, which is taken as 0.0005 / ℃.
[0028] In an optional embodiment, the closed-loop execution system includes: a tensioning robotic arm for receiving instructions to perform tensioning; an anchorage shrinkage prediction module for predicting the shrinkage amount based on historical data and pre-tensioning by 0.5%-1%; and a data feedback module for transmitting the measured prestressed domain back to the finite element model for iterative updates.
[0029] In an optional embodiment, the optimization algorithm unit adopts a multi-objective genetic algorithm or reinforcement learning model, with the goal of achieving a prestressed domain degree of ≥95%, and outputs a tensioning sequence and force value combination that satisfies the minimum coupling loss.
[0030] In an optional embodiment, the system is configured with an abnormal response mechanism: when it is detected that tensioning of a steel strand in a certain direction causes prestress loss in other directions to exceed a set threshold, a supplementary tensioning command is automatically triggered; wherein, when tensioning of the transverse steel strand 3 causes longitudinal prestress loss to be greater than 5%, supplementary tensioning of the longitudinal steel strand 4 is initiated; when the compressive stress in the concrete axle area exceeds the design value by 10%, the tensioning of the transverse steel strand 3 in that area is skipped, and the longitudinal steel strand 4 of the bottom plate is tensioned first to release stress.
[0031] In an optional embodiment, the dynamic compensation unit is also configured with an environmental change response strategy: when the ambient temperature rises sharply to above 35°C, causing the elastic modulus of concrete to decrease, the system automatically reduces the tension of all steel strands by 2% to 5% proportionally to prevent concrete from cracking or crushing; the tensioning sequence of the steel strands is to first apply 50% of the design tension to the circumferential steel strand 1, then complete the 100% tensioning of the longitudinal steel strand 4 and the 100% tensioning of the vertical steel strand 2 in sequence, and finally tension the circumferential steel strand 1 to 100% of the design force value to reduce the mutual weakening effect between the circumferential and longitudinal prestresses.
[0032] A method for intelligent tensioning control of multi-directional prestressing in U-shaped box girder aqueducts is applicable to the aforementioned intelligent tensioning control system for multi-directional prestressing in U-shaped box girder aqueducts. The method includes: Step 1, inputting the geometric parameters of the U-shaped box girder aqueduct, the arrangement of steel strands, and material properties; generating a time-varying spectrum model of prestressing through finite element analysis to determine the target prestressing domain for each construction stage; Step 2, deploying a multi-source sensing network to collect real-time data on concrete strain, steel strand stress, tension force, elongation, and ambient temperature and humidity. Step 3: Use the data fusion unit to compare the measured prestressed domain with the target prestressed domain and calculate the prestressed domain achievement degree; Step 4: Use the optimization algorithm unit to solve for the optimal tensioning sequence and tension force of the steel strands in all directions to minimize the prestress coupling loss; Step 5: Use the dynamic compensation unit to correct the tension force in real time according to temperature changes; Step 6: The tensioning operation is performed by the closed-loop execution system, in which 0.5%~1% over-tensioning is implemented before anchoring according to the anchoring shrinkage prediction module; Step 7: After tensioning and anchoring, the actual prestressed domain data is fed back to the digital twin module through the data feedback module to update the creep coefficient and shrinkage parameters in the finite element model and realize the iterative optimization of the model; Step 8: Repeat steps 2 to 7 until all tensioning procedures are completed.
[0033] Specifically, after the initial modeling is completed, when the concrete temperature drops sharply by more than 10°C, the vertical steel strand 2 delayed tensioning command is triggered, and the coupling loss of circumferential and longitudinal prestress is minimized (target achievement rate ≥ 95%).
[0034] In one example, the tensioning sequence of the steel strands is as follows: circumferential steel strand 1 150% force value → longitudinal steel strand 4 100% → vertical steel strand 2 100% → circumferential steel strand 1 supplemented to 100%. At the same time, if the tensioning of transverse steel strand 3 causes longitudinal stress loss > 5%, longitudinal steel strand 4 is started for supplementary tensioning.
[0035] After anchoring, the actual prestressed domain is collected, and the parameters of the finite element creep model are corrected (e.g., the creep coefficient is adjusted from 2.0 to 2.3); the tensioning command set for the next stage is generated.
[0036] In step 4, if the concrete temperature drops by more than 10°C, the vertical steel strand 2 is delayed in tensioning to avoid stress concentration caused by low-temperature shrinkage.
[0037] In one example, during the tensioning of the low stacked box section: if the compressive stress at the axle corner is found to exceed the standard (>10% of the design value), the decision system automatically skips the tensioning of the transverse steel strands in that area and prioritizes the tensioning of the bottom plate steel strands to release stress.
[0038] Environmental mutation response: When exposed to high temperature (>35℃), the elastic modulus of concrete decreases. The system reduces the tension of all steel strands by 3% proportionally to prevent concrete from collapsing.
[0039] The basic principles of this application have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this application are merely examples and not limitations, and should not be considered as essential features of each embodiment of this application. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the application to the necessity of employing the aforementioned specific details for implementation.
[0040] The block diagrams of devices, apparatuses, devices, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.
[0041] It should also be noted that in the apparatus, equipment, and housing of this application, the components or steps can be disassembled and / or reassembled. These disassemblies and / or reassemblies should be considered as equivalent solutions of this application.
[0042] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this application. Therefore, this application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.
[0043] It should be understood that the qualifiers “first,” “second,” “third,” “fourth,” “fifth,” and “sixth” used in the description of the embodiments of this application are only used to more clearly illustrate the technical solutions and are not intended to limit the scope of protection of this application.
[0044] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this application to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.
Claims
1. A U-shaped stacking box aqueduct multi-directional prestressed intelligent tensioning control system, characterized in that, Comprise: A digital twin module for establishing a prestress time-varying spectrum finite element model of a U-shaped box aqueduct structure, simulating stress distribution at each construction stage, and outputting a target prestress domain including design thresholds of longitudinal, vertical, transverse and circumferential prestresses; a multi-source perception network for real-time collection of concrete strain and effective prestress of steel strands; An intelligent decision center for fusing multi-source perception data and digital twin model prediction results, performing tension parameter optimization and dynamic compensation; A closed-loop execution system for executing intelligent decision center instructions and feeding back execution results.
2. The U-shaped stacked box girder aqueduct multi-directional prestressed intelligent tensioning control system according to claim 1, characterized in that, The multi-source perception network comprises: Structural perception, embedded fiber Bragg grating sensors monitor concrete strain, and vibrating wire stress gauges monitor effective prestress of steel strands; Equipment perception, intelligent tensioning equipment integrates pressure sensors and laser elongation measuring instruments; Environmental perception, temperature and humidity sensors monitor concrete temperature gradient and environmental humidity.
3. The U-shaped stacked box girder aqueduct multi-directional prestressed intelligent tensioning control system according to claim 1, characterized in that, The intelligent decision center comprises: A data fusion unit for correlating finite element prediction values and real-time monitoring values; An optimization algorithm unit for calculating optimal tensioning sequence and single tensioning force based on prestress domain achievement degree function; A dynamic compensation unit for correcting tensioning force according to temperature strain.
4. The U-type stack aqueduct multi-directional pre-stressed intelligent tension control system according to claim 1, characterized in that, The closed-loop execution system comprises: A tensioning robot arm for receiving instructions to perform tensioning; An anchoring retraction prediction module for predicting retraction based on historical data and pre-tensioning by 0.5%-1%; A data feedback module for returning measured prestress domain to the finite element model for iterative updating.
5. The U-type stack aqueduct multi-directional pre-stressed intelligent tension control system according to claim 1, characterized in that, The optimization algorithm unit adopts a multi-objective genetic algorithm or a reinforcement learning model, with prestress domain achievement degree ≥ 95% as the target, to output tensioning sequence and force value combination that satisfies minimum coupling loss.
6. The U-type stack aqueduct multi-directional pre-stressed intelligent tension control system according to claim 1, characterized in that, The system is configured with an abnormal response mechanism: when tensioning of steel strands in a certain direction causes loss of prestress in other directions to exceed a set threshold, automatic trigger compensation tensioning instructions; when tensioning of transverse steel strands causes longitudinal prestress loss > 5%, start longitudinal steel strand compensation tensioning; when the compressive stress in the concrete haunch area exceeds the design value by 10%, skip tensioning of the transverse steel strands in that area and preferentially tension the longitudinal steel strands in the bottom plate to release stress.
7. The U-type stack aqueduct multi-directional pre-stressed intelligent tension control system according to claim 1, characterized in that, The dynamic compensation unit is also configured with an environmental mutation response strategy: when the environmental temperature suddenly rises above 35°C, causing a decrease in the elastic modulus of the concrete, the system automatically reduces the tensioning force of all steel strands by 2%-5% in proportion, preventing concrete cracking or crushing; the tensioning sequence of the steel strands first applies 50% of the design tensioning force to the circumferential steel strands, then sequentially completes 100% tensioning of the longitudinal steel strands, 100% tensioning of the vertical steel strands, and finally compensates the circumferential steel strands to 100% of the design force value, to reduce the mutual weakening effect between circumferential and longitudinal prestress.
8. A multi-directional pre-stressed intelligent tensioning control method for a U-shaped stacking box aqueduct, characterized in that, Comprise: Step 1, input U-shaped box aqueduct geometric parameters, steel strand arrangement method and material properties, generate a prestress time-varying spectrum model through finite element analysis, and determine the target prestress domain at each construction stage; Step 2, deploy multi-source perception network to collect concrete strain, steel strand stress, tension force, elongation and environmental temperature and humidity data in real time; Step 3, use the data fusion unit to compare the measured prestress domain and the target prestress domain, and calculate the prestress domain achievement degree; Step 4, use the optimization algorithm unit to solve the optimal tensioning sequence and the tension force of each direction steel strand, so as to minimize the prestress coupling loss; Step 5, use the dynamic compensation unit to make real-time correction to the tension force according to the temperature change; Step 6, the tensioning operation is executed by the closed-loop execution system, wherein 0.5%~1% over-tensioning is implemented according to the anchoring shrinkage prediction module before anchoring; Step 7, after the tensioning and anchoring, the actual prestress domain data is fed back to the digital twin module through the data feedback module, and the creep coefficient and shrinkage parameter in the finite element model are updated to realize the iterative optimization of the model; Step 8, repeat steps 2 to 7 until the entire tensioning process is completed. 9.The U-shaped stacker trestle multi-directional pre-stressed intelligent tensioning control method according to claim 8, characterized in that, In step 4, if the concrete temperature drops by more than 10℃, the vertical steel strand delayed tensioning instruction is triggered to avoid stress concentration caused by low temperature shrinkage.