A low-pylon cable-stayed bridge construction management method and system based on digital twinning

Abstract

The present application relates to the field of low tower cable-stayed bridge construction, and specifically provides a low tower cable-stayed bridge construction management method and system based on digital twinning, comprising: obtaining construction parameters of a low tower cable-stayed bridge, and building an initial construction scene model of digital twinning; obtaining a construction process of the low tower cable-stayed bridge, and combining the initial construction scene model to configure a construction process twin node of digital twinning, thereby constituting a twin management platform; wherein the construction process twin node comprises a concrete construction node, a pouring construction node, an intelligent tensioning node and an intelligent spraying maintenance node; obtaining construction data, and importing the construction data into the twin management platform to match and compare with preset construction indexes, thereby determining whether there is a construction anomaly.

Description

Technical Field

[0001] This invention relates to the field of cable-stayed bridge construction, and in particular to a construction management method and system for low-tower cable-stayed bridges based on digital twins. Background Technology

[0002] Currently, low-tower cable-stayed bridges are a novel bridge type that falls between continuous beam bridges and cable-stayed bridges. While their shape resembles that of a cable-stayed bridge, their main girder deck is similar to that of a continuous beam bridge, characterized by low towers, rigid beams, and concentrated cables. Compared to continuous beam bridges, low-tower cable-stayed bridges offer advantages such as novel structure, large span capacity, simple construction, and economy; compared to cable-stayed bridges, they offer advantages such as convenient construction, material savings, and high main girder rigidity, giving them broad development prospects.

[0003] The stress characteristics of low-tower cable-stayed bridges lie between those of beam bridges and cable-stayed bridges. In low-tower cable-stayed bridges, the main girder bears vertical loads through bending, compression, shear, and tension. The stay cables, in terms of stress characteristics, act more like external cables to the main girder, bearing part of the load and providing stiffness. The stay cables only share a portion of the load, with the majority of the load borne by the bending and shear forces of the girder. The main girder has high stiffness, bearing not only axial compression but also a significant portion of bending moment and shear force, resulting in a more selective distribution of stress.

[0004] With the advancement of technology, bridge construction monitoring has shifted from traditional methods such as manual inspections and camera installations to a system based on artificial intelligence algorithms combined with high-definition cameras and sensors. However, these monitoring methods are mostly tailored to specific types of construction, and monitoring the overall progress and schedule of bridge construction still heavily relies on human experience. When the on-site progress deviates from the pre-established schedule, subsequent procedures cannot proceed as planned. In such cases, experienced dispatchers are often needed to analyze the situation on-site, then allocate resources and rearrange the schedule. Therefore, leveraging information technology to assist or replace manual labor is crucial for monitoring the overall construction progress. Summary of the Invention

[0005] This invention provides a construction management method and system for low-tower cable-stayed bridges based on digital twins. It addresses the issue that current methods for monitoring the overall construction progress and schedule of bridges heavily rely on manual experience. When on-site progress deviates from the pre-established schedule, subsequent procedures cannot proceed as planned. In such cases, experienced dispatchers are often required to analyze the situation on-site and then allocate resources and rearrange the schedule.

[0006] In a first aspect, this invention proposes a construction management method for low-tower cable-stayed bridges based on digital twins, comprising:

[0007] Obtain the construction parameters of the low-tower cable-stayed bridge and build an initial construction scenario model using a digital twin;

[0008] The construction process of the low-tower cable-stayed bridge was obtained and, combined with the initial construction scenario model, digital twin nodes of the construction process were configured to form a digital twin management platform; among which,

[0009] The construction process twin nodes include: concrete construction node, pouring construction node, intelligent tensioning node, and intelligent spray curing node;

[0010] Acquire construction data and import it into the twin management platform to match and compare it with preset construction indicators to determine if there are any construction anomalies.

[0011] In conjunction with the first aspect, obtaining the construction parameters for a low-tower cable-stayed bridge includes:

[0012] Pre-acquiring construction scenario data and construction standards for low-tower cable-stayed bridges;

[0013] The construction process was determined based on the construction standards for low-tower cable-stayed bridges;

[0014] Based on construction scenario data, a construction process suppression assessment is conducted to determine whether non-standard processes exist; among them...

[0015] When non-standard processes exist, determine the process deviations between the non-standard processes and the construction standards, and determine the process improvement needs;

[0016] When non-standard processes are not available, generate construction parameters for a low-tower cable-stayed bridge.

[0017] In conjunction with the first aspect, the initial construction scenario model for building a digital twin includes:

[0018] Acquire construction scene data to determine scene elements, construction scope, and construction dimensions at the construction site;

[0019] A panoramic scan of the scene elements, construction scope, and construction dimensions was performed to construct the initial construction scene space; among which...

[0020] Panoramic scanning is based on drone equipment or infrared sensing equipment.

[0021] Use virtual engine rendering tools to render the initial construction scene space;

[0022] Acquire construction materials, equipment, and personnel, and perform virtual configuration to generate an initial construction scenario model.

[0023] In conjunction with the first aspect, the concrete construction node includes: a concrete mix design layer, a concrete fine construction layer, and a concrete curing layer; wherein,

[0024] The concrete mix design layer uses environmental data from the current construction scenario to analyze concrete performance and generate concrete mix designs; among which,

[0025] Concrete performance analysis includes: hydrothermal performance analysis, shrinkage deformation performance analysis, and environmental adaptability analysis;

[0026] The fine concrete construction layer is used to divide the concrete pouring into zones according to the bridge stress model.

[0027] The concrete curing layer is used to detect non-structural cracks in bridges and to determine the curing plan based on the test results.

[0028] In conjunction with the first aspect, the pouring construction nodes include: main pier construction, module construction, cyclic cantilever pouring construction, and closure construction; wherein,

[0029] During modular construction, a hanging basket positioning system is set up, and monitoring and measurement points are set up according to the hanging basket positioning during the cyclic cantilever pouring construction stage; among them,

[0030] The monitoring and measurement points include: hanging basket line measuring points, construction beam segment measuring points, box girder axis measuring points, and pier top horizontal displacement measuring points.

[0031] In conjunction with the first aspect, the intelligent tensioning node is used for tensioning visualization, wherein the visualization steps include:

[0032] Pre-configure the control host;

[0033] Connect the elongation sensor of the steel strand and the value receiver of the oil meter to the control host.

[0034] The tensioning jacks of the low-tower cable-stayed bridge are connected to the main control unit, and error constraints are set.

[0035] Based on the error constraint, the tensioning jacks are controlled by the control host to perform synchronous tensioning, and the implementation parameters of synchronous tensioning are displayed by the control host.

[0036] In conjunction with the first aspect, the intelligent spray maintenance node includes:

[0037] The component configuration unit is used to configure the virtual spray curing components; among which,

[0038] The spray maintenance component includes temperature and humidity acquisition elements, switch controller, water pressure rotary nozzle, automatic pressurization element, water pump, maintenance pipeline, water storage tank, power distribution box, and information transmission element;

[0039] The spray curing components are configured inside the bridge in the initial construction scenario model, forming a temperature and humidity acquisition unit, an automatic pressurization unit, and an automatic spraying unit.

[0040] By using the humidity acquisition unit and the automatic pressurization unit as feedback terminals for the automatic spraying unit, a virtual intelligent spraying maintenance system is formed.

[0041] In conjunction with the first aspect, the process of importing construction data into the twin management platform and matching and comparing it with preset construction indicators includes:

[0042] Import the construction twin data of the low-tower cable-stayed bridge from the construction process twin nodes, perform cable-stayed bridge area segmentation, and determine multiple cable-stayed bridge areas;

[0043] Extract construction twin data for each cable-stayed bridge area and match the construction twin data with preset construction indicators to determine the quality difference;

[0044] Based on the quality difference, identify the areas with construction abnormalities and output the abnormal information.

[0045] In conjunction with the first aspect, the twin management platform is also used for:

[0046] Obtain twin construction data for low-tower cable-stayed bridges;

[0047] The twin construction data is divided according to different construction stages to generate corresponding monitoring reports;

[0048] Feature extraction is performed on different construction stages to obtain twin construction feature data for the corresponding monitoring area, and feature fusion is performed on the twin construction feature data to obtain feature fusion data;

[0049] By comparing the feature fusion data with that of the low-tower cable-stayed bridge, the location of the construction anomaly can be determined.

[0050] Secondly, a construction management system for low-tower cable-stayed bridges based on digital twins includes:

[0051] Initial Scene Model Building Module: Used to obtain construction parameters for low-tower cable-stayed bridges and build an initial construction scene model of the digital twin;

[0052] The twin management module is used to acquire the construction process of a low-tower cable-stayed bridge and, combined with the initial construction scenario model, configure the digital twin nodes of the construction process to form a twin management platform; among which,

[0053] The construction process twin nodes include: concrete construction node, pouring construction node, intelligent tensioning node, and intelligent spray curing node;

[0054] Anomaly detection module: Used to acquire construction data and import the construction data into the twin management platform to match and compare it with preset construction indicators to determine whether there are any construction anomalies.

[0055] The beneficial effects of this invention are as follows:

[0056] This application utilizes a digital twin to construct an initial construction scenario model, simulating the actual construction process and enabling highly granular management of all aspects of the construction. By configuring digital twin nodes in the construction process using digital twin technology, the construction workflow can be optimized, and problems in the construction of low-rise bridges can be identified and resolved in advance. By importing construction data into the digital twin management platform, real-time monitoring of the construction status can be obtained. Through real-time monitoring and analysis of construction data, potential safety hazards during construction can be identified promptly, allowing for preventative measures to be taken and improving construction safety. Furthermore, by comparing the data with preset construction indicators, deviations and anomalies during construction can be detected in a timely manner, reducing the possibility of errors and rework.

[0057] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0058] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0059] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0060] Figure 1 This is a flowchart illustrating a construction management method for a low-tower cable-stayed bridge based on digital twins, as described in an embodiment of the present invention.

[0061] Figure 2 This is a system composition diagram of a construction management system for a low-tower cable-stayed bridge based on digital twins, as described in an embodiment of the present invention.

[0062] Figure 3 This is a schematic diagram of the spraying assembly in an embodiment of the present invention. Detailed Implementation

[0063] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0064] To address potential management deficiencies during the construction of low-tower cable-stayed bridges and their inability to integrate with existing intelligent monitoring capabilities, this invention proposes a construction management method for low-tower cable-stayed bridges based on digital twins, comprising:

[0065] Obtain the construction parameters of the low-tower cable-stayed bridge and build an initial construction scenario model using a digital twin;

[0066] The construction process of the low-tower cable-stayed bridge was obtained and combined with the initial construction scenario model to configure digital twin construction process twin nodes, forming a twin management platform; among them, the construction process twin nodes include: concrete construction node, pouring construction node, intelligent tensioning node and intelligent spray curing node.

[0067] Acquire construction data and import it into the twin management platform to match and compare it with preset construction indicators to determine if there are any construction anomalies.

[0068] The principle behind the above technical solution is as follows:

[0069] like Figure 1 As shown, this invention obtains construction parameters of a low-tower cable-stayed bridge, such as beam length, main cable spacing, and bridge deck width, as well as construction process information, such as material transportation, main cable installation, and prestressing. Through this data, a digital twin initial construction scenario model is constructed to simulate the entire virtual construction scenario and accurately reproduce the real construction scenario. The initial construction scenario model can realistically reflect various changes in the actual construction process.

[0070] Then, the acquired construction process of the low-tower cable-stayed bridge is combined with the pre-constructed initial construction scenario model to configure digital twin construction process nodes, forming a digital twin management platform. These construction process twin nodes include concrete construction nodes, pouring construction nodes, intelligent tensioning nodes, and intelligent spray curing nodes. By simulating these nodes, construction progress and quality can be controlled more precisely, while also enabling supervision.

[0071] Finally, the actual construction data obtained, such as environmental parameters like temperature, humidity, and wind force, as well as construction indicators like concrete strength and concrete joint durability, are imported into the twin management platform and matched for comparison to determine if there are any construction anomalies and issue timely alerts. This allows the construction team to adjust the construction plan in a timely manner and ensure construction quality.

[0072] The beneficial effects of the above technical solution are as follows:

[0073] This application utilizes a digital twin to construct an initial construction scenario model, simulating the actual construction process and enabling highly granular management of all aspects of the construction. By configuring digital twin nodes in the construction process using digital twin technology, the construction workflow can be optimized, and problems in the construction of low-rise bridges can be identified and resolved in advance. By importing construction data into the digital twin management platform, real-time monitoring of the construction status can be obtained. Through real-time monitoring and analysis of construction data, potential safety hazards during construction can be identified promptly, allowing for preventative measures to be taken and improving construction safety. Furthermore, by comparing the data with preset construction indicators, deviations and anomalies during construction can be detected in a timely manner, reducing the possibility of errors and rework.

[0074] As one embodiment of the present invention, obtaining the construction parameters of a low-tower cable-stayed bridge includes:

[0075] Pre-acquiring construction scenario data and construction standards for low-tower cable-stayed bridges;

[0076] The construction process was determined based on the construction standards for low-tower cable-stayed bridges;

[0077] Based on construction scenario data, a construction process suppression assessment is conducted to determine whether non-standard processes exist; among them...

[0078] When non-standard processes exist, determine the process deviations between the non-standard processes and the construction standards, and determine the process improvement needs;

[0079] When non-standard processes are not available, generate construction parameters for a low-tower cable-stayed bridge.

[0080] The principle behind the above technical solution is as follows:

[0081] After obtaining the relevant construction parameters, this invention uses these parameters to control the construction process.

[0082] In practice, the first step was to acquire data about the construction scenario and determine the construction standards and data for the low-tower cable-stayed bridge. Then, based on these standards and data, suitable construction techniques were determined. Next, using the construction scenario data, a suppression assessment of the construction techniques was conducted. The purpose of this assessment was to identify any non-standard techniques.

[0083] If non-standard processes exist, the deviation between them and the standard construction processes can be identified, thus determining the need for process improvements. Conversely, if no non-standard processes exist, construction parameters for a low-tower cable-stayed bridge can be generated. It is crucial to ensure that the processes and parameters used meet the pre-defined construction requirements.

[0084] The beneficial effects of the above technical solution are as follows:

[0085] This invention can utilize construction scenario data and construction standards for low-tower cable-stayed bridges, as well as suppress and determine their performance, to control the construction process, thereby improving construction efficiency and quality.

[0086] As an embodiment of the present invention, the initial construction scene model for building a digital twin includes:

[0087] Acquire construction scene data to determine scene elements, construction scope, and construction dimensions at the construction site;

[0088] A panoramic scan of the scene elements, construction scope, and construction dimensions was performed to construct the initial construction scene space; among which...

[0089] Panoramic scanning is based on drone equipment or infrared sensing equipment;

[0090] Use virtual engine rendering tools to render the initial construction scene space;

[0091] Acquire construction materials, equipment, and personnel, and perform virtual configuration to generate an initial construction scenario model.

[0092] The principle behind the above technical solution is as follows:

[0093] This invention obtains construction scene data. First, it collects and organizes various data related to the construction site of the cable-stayed bridge to be built, including but not limited to geographical location information, topography, building structure, construction equipment, etc. This data can be obtained through remote sensing images, on-site survey reports, design drawings, etc.

[0094] Then, determine the scene elements, construction scope, and construction dimensions of the construction site: After obtaining sufficient construction scene data, process and analyze the construction scene data according to actual needs to accurately depict the construction scene of the proposed low-tower cable-stayed bridge.

[0095] This process requires data filtering, classification, and merging to obtain the parameters for modeling.

[0096] A panoramic scan of scene elements, construction scope, and construction dimensions is performed to construct the initial construction scene space. The panoramic scanning process is based on drone equipment or infrared sensing equipment to ensure the accuracy and comprehensiveness of the acquired data. By establishing a 3D digital model, effect rendering and construction configuration can be achieved.

[0097] The initial construction scene space is rendered using a virtual engine rendering tool. This process allows for a more intuitive display and understanding of the model's appearance and atmosphere. Construction materials, equipment, and personnel are acquired and virtually configured to generate the initial construction scene model.

[0098] Finally, it is necessary to obtain information on the actual construction materials, equipment, personnel, and site environment, and to perform corresponding virtual configurations to recreate all the necessary details in the final model. This then generates a complete and highly practical digital twin initial construction scenario model.

[0099] As one embodiment of the present invention, the concrete construction node includes: a concrete mix design layer, a concrete fine construction layer, and a concrete curing layer; wherein...

[0100] The concrete mix design layer uses environmental data from the current construction scenario to analyze concrete performance and generate concrete mix designs; among which,

[0101] Concrete performance analysis includes: hydrothermal performance analysis, shrinkage deformation performance analysis, and environmental adaptability analysis;

[0102] The fine concrete construction layer is used to divide the concrete pouring into zones according to the bridge stress model.

[0103] The concrete curing layer is used to detect non-structural cracks in bridges and to determine the curing plan based on the test results.

[0104] The principle behind the above technical solution is as follows:

[0105] In the construction process, the use of concrete is a crucial step, and the quality of the concrete directly affects the safety and performance of the entire project. Therefore, this invention ensures both concrete quality and construction safety through the establishment of a concrete mix analysis layer, a concrete fine-tuning layer, and a concrete curing layer, enabling meticulous management of the concrete construction process.

[0106] In the concrete mix design layer, environmental data from the current construction scenario is collected and processed. This data is used to analyze and process concrete performance, resulting in a target concrete mix suitable for the specific scenario. This target concrete mix not only possesses sufficient strength but also good workability and durability, ensuring the long-term stable operation of the project. The concrete performance analysis primarily considers three key factors: hydrothermal properties, shrinkage deformation properties, and environmental adaptability. These three factors collectively determine the durability and service life of the concrete.

[0107] In the fine concrete construction layer, the concrete pouring will be divided into zones based on the bridge's stress model to ensure uniform pouring and avoid problems such as localized overload or voids. This method also helps reduce waste and improve material utilization. In the concrete curing layer, non-structural cracks in the bridge will be detected. Since cracks cannot be completely avoided in either design or construction, the monitoring mechanism in this application will allow for timely detection and resolution of problems. Once a problem is detected, an appropriate curing plan will be developed based on the location and size of the crack.

[0108] As one embodiment of the present invention, the pouring construction nodes include: main pier construction, module construction, cyclic cantilever pouring construction, and closure construction; wherein...

[0109] During modular construction, a hanging basket positioning system is set up, and monitoring and measurement points are set up according to the hanging basket positioning during the cyclic cantilever pouring construction stage; among them,

[0110] The monitoring and measurement points include: hanging basket line measuring points, construction beam segment measuring points, box girder axis measuring points, and pier top horizontal displacement measuring points.

[0111] The principle behind the above technical solution is as follows:

[0112] This invention requires the construction of the main pier, which is the foundation of the entire construction. The construction of the main pier needs to ensure its accurate positioning; therefore, a dedicated monitoring point for the main pier construction needs to be established.

[0113] Secondly, modular construction is required, necessitating the installation of hanging baskets for positioning. Simultaneously, monitoring and measurement points need to be set up during the cyclic cantilever casting stage. These points are used to monitor various data points in real time during construction to ensure construction quality.

[0114] Among these measurement points, the hanging basket line measurement point is mainly used to measure the position and movement of the hanging basket, the construction beam segment measurement point is used to detect the verticality and horizontality of the construction beam segment, the box girder axis measurement point is used to detect whether the beam segment is arranged according to the design requirements, and the pier top horizontal displacement measurement point is used to detect the stability of the main pier.

[0115] Through the above construction management, real-time monitoring of the entire construction process can be achieved, problems can be identified and adjusted in a timely manner, thereby ensuring the smooth progress of construction, improving construction quality and efficiency, and reducing project costs.

[0116] As an embodiment of the present invention, the intelligent tensioning node is used for tensioning visualization, wherein the visualization steps include:

[0117] Pre-configure the control host;

[0118] Connect the elongation sensor of the steel strand and the value receiver of the oil meter to the control host.

[0119] The tensioning jacks of the low-tower cable-stayed bridge are connected to the main control unit, and error constraints are set.

[0120] Based on the error constraint, the tensioning jacks are controlled by the control host to perform synchronous tensioning, and the implementation parameters of synchronous tensioning are displayed by the control host.

[0121] The principle behind the above technical solution is as follows:

[0122] First, the control host is pre-configured. This control host is the core controller of the entire system and is responsible for receiving, processing, and executing all control commands.

[0123] During system initialization, the control host is configured to have the computational capabilities to process and tension data.

[0124] Secondly, the elongation sensor of the steel strand and the receiver of the oil meter are connected to the control host. In this case, both changes in the length of the steel strand and changes in the oil meter reading can be acquired by the control host in real time and incorporated into subsequent control.

[0125] Next, the tensioning jacks of the low-tower cable-stayed bridge are connected to the control host, and error constraints are set. Error constraints are a set of threshold ranges set to prevent excessive deviations during the tensioning process. Once these ranges are exceeded, an alarm will be issued or the tensioning process will be automatically stopped.

[0126] Then, based on the error constraints, the tensioning jacks are synchronously controlled by the control host. Synchronous control ensures that all aspects of the tensioning process are highly consistent, effectively avoiding losses caused by asynchrony.

[0127] Meanwhile, synchronous control can also improve construction efficiency and reduce labor costs. Finally, the implementation parameters of synchronous tensioning are displayed through the control host. In this way, operators can understand the current construction status by observing the data on the display screen and make corresponding adjustments. At the same time, this data display method also facilitates data analysis and summarization.

[0128] As one embodiment of the present invention, the intelligent spray maintenance node includes:

[0129] The component configuration unit is used to configure the virtual spray curing components; among which,

[0130] The spray maintenance component includes temperature and humidity acquisition elements, switch controller, water pressure rotary nozzle, automatic pressurization element, water pump, maintenance pipeline, water storage tank, power distribution box, and information transmission element;

[0131] The spray curing components are configured inside the bridge in the initial construction scenario model, forming a temperature and humidity acquisition unit, an automatic pressurization unit, and an automatic spraying unit.

[0132] By using the humidity acquisition unit and the automatic pressurization unit as feedback terminals for the automatic spraying unit, a virtual intelligent spraying maintenance system is formed.

[0133] The principle behind the above technical solution is as follows:

[0134] like Figure 3 As shown, in actual construction, this invention first generates a corresponding construction scene model using digital modeling technology based on the specific circumstances of the construction scenario. Then, through the component configuration unit, each component within the model is configured in detail, including selecting appropriate materials and setting parameters, so that the model can realistically simulate the actual construction process.

[0135] Next, the generated construction scenario model is associated with the actual construction environment. Through a data interface, the construction scenario model and the actual environment are connected to achieve real-time data synchronization. In this way, construction personnel can obtain real-time construction information through the model, regardless of their location.

[0136] Finally, the spray curing components are configured into their respective positions in the model according to certain rules and strategies, and precisely controlled by the control unit. This generates an intelligent spray curing system with self-learning capabilities, which can automatically adjust spray parameters according to actual conditions, achieving refined management.

[0137] In practical implementation, the intelligent sprinkler curing system consists of five main parts: a temperature and humidity acquisition system, an automatic pressurization system, a sprinkler system, a water storage system, and an intelligent monitoring system. The temperature and humidity acquisition system uses temperature and humidity sensors as its main components. The temperature measurement range is -40℃ to 120℃, and the humidity measurement range is 0% to 100%RH. The temperature accuracy is ±0.5℃ (25℃), and the humidity accuracy is ±3%RH (5%RH to 95%RH, 25℃). The temperature and humidity sensors are installed on the concrete surface, using integrated temperature and humidity probes as the sensing elements to acquire temperature and humidity signals. After processing through circuits such as voltage stabilization filtering, operational amplification, nonlinear correction, V / I conversion, constant current, and reverse protection, the signals are converted into current or voltage signals that are linearly related to temperature and humidity. The output signals are transmitted to the switch controller. The switch controller sets temperature and humidity limits; the switch disconnects when the temperature is ≤35℃ or the humidity is ≥90%. The automatic pressurization system consists of a vertical multistage pump and a pressure controller. The power switch of the vertical multistage pump is connected and synchronized with the switch controller of the temperature and humidity acquisition system, meaning the operating status of the vertical multistage pump is controlled by the switch controller. A control water pressure of 0.5 MPa is set on the pressure controller. When the vertical multistage pump starts working, water flows into the spray system to begin spray curing when the water pressure exceeds 0.5 MPa; when the vertical multistage pump stops working, water flow stops into the spray system when the water pressure falls below 0.5 MPa, thus ceasing spray curing.

[0138] The intelligent spray curing system collects real-time information about the concrete surface using temperature and humidity data acquisition elements, transmitting the information to a controller. The controller sets upper and lower limits for temperature and humidity; once these limits are reached, it controls the spray system to achieve the intelligent spraying effect.

[0139] As an embodiment of the present invention, the step of importing construction data into the twin management platform and matching and comparing it with preset construction indicators includes:

[0140] Import the construction twin data of the low-tower cable-stayed bridge from the construction process twin nodes, perform cable-stayed bridge area segmentation, and determine multiple cable-stayed bridge areas;

[0141] Extract construction twin data for each cable-stayed bridge area and match the construction twin data with preset construction indicators to determine the quality difference;

[0142] Based on the quality difference, identify the areas with construction abnormalities and output the abnormal information.

[0143] The principle behind the above technical solution is as follows:

[0144] This invention acquires construction data and imports it into a construction process twin node. Before construction begins, the system automatically acquires relevant construction data, such as design drawings, material lists, and construction personnel, and imports it into the construction process twin node. The construction process twin node is obtained through digital simulation of the actual construction process and includes all possible construction steps and conditions. Therefore, the construction process twin node can compare the actual construction situation with the preset construction process to identify problems and make improvements.

[0145] The process involves segmenting the cable-stayed bridge area into multiple zones, and then importing construction data into these zones. To better manage and control the cable-stayed bridge areas, these zones are divided into multiple sub-zones. Each sub-zone corresponds to a specific construction twin data set. The construction twin data for each cable-stayed bridge area is extracted and matched against preset construction indicators to determine quality discrepancies. Detailed analysis is performed on the data for each cable-stayed bridge area. First, the construction data within each area is extracted, and then this data is matched against preset construction indicators. The purpose of this is to identify data deviations or anomalies so that construction plans and strategies can be adjusted promptly.

[0146] After matching is complete, the system calculates the quality difference for each area, serving as an important reference for assessing the construction quality of that area. This invention identifies abnormal construction areas based on these quality differences and outputs anomaly information. This is achieved by comparing the construction twin data of each cable-stayed bridge area with preset construction indicators to pinpoint areas with quality defects. These areas are designated as abnormal construction zones. This anomaly information is automatically recorded, and warnings are sent to project managers or construction personnel when necessary, enabling timely intervention to prevent the problem from escalating.

[0147] As one embodiment of the present invention, the twin management platform is also used for:

[0148] Obtain twin construction data for low-tower cable-stayed bridges;

[0149] The twin construction data is divided according to different construction stages to generate corresponding monitoring reports;

[0150] Feature extraction is performed on different construction stages to obtain twin construction feature data for the corresponding monitoring area, and feature fusion is performed on the twin construction feature data to obtain feature fusion data;

[0151] By comparing the feature fusion data with that of the low-tower cable-stayed bridge, the location of the construction anomaly can be determined.

[0152] The principle behind the above technical solution is as follows:

[0153] The twin management platform of this invention can not only be used to obtain twin construction data of low-tower cable-stayed bridges, but also to divide the twin construction data according to different construction stages and generate corresponding monitoring reports.

[0154] Simultaneously, feature extraction and fusion are performed for different construction stages to obtain data for the corresponding monitoring areas. Finally, by comparing the fused feature data with the actual low-tower cable-stayed bridge, anomalies during construction are identified, allowing for timely measures to ensure project quality.

[0155] Specifically, this construction management method for low-tower cable-stayed bridges based on digital twins includes the following steps:

[0156] The first step is to acquire real-time data of the low-tower cable-stayed bridge at the construction site using sensors and other equipment to form raw construction data;

[0157] The second step is to use digital twin technology to compare the acquired raw data with existing low-tower cable-stayed bridges with similar structures and elevation data, match the similar parts, and form twin data.

[0158] The third step is to process the twin data. First, it is divided according to different construction stages. Each stage can correspond to a specific time period to form a corresponding construction progress report.

[0159] The fourth step is to extract features for each stage of the construction progress, extracting key information in the construction process, such as material usage and construction delays, to form corresponding feature data.

[0160] The fifth step is to fuse the feature data from each stage to form comprehensive feature fusion data for subsequent analysis.

[0161] The sixth step is to compare the feature fusion data with the actual low-tower cable-stayed bridge to identify anomalies in the construction process, such as long-term material idleness or serious delays in the construction period, and to issue warnings or take action for these anomalies.

[0162] Secondly, this invention proposes a construction management system for low-tower cable-stayed bridges based on digital twins, comprising:

[0163] Initial Scene Model Building Module: Used to obtain construction parameters for low-tower cable-stayed bridges and build an initial construction scene model of the digital twin;

[0164] The twin management module is used to acquire the construction process of a low-tower cable-stayed bridge and, combined with the initial construction scenario model, configure the digital twin nodes of the construction process to form a twin management platform; among which,

[0165] The construction process twin nodes include: concrete construction node, pouring construction node, intelligent tensioning node, and intelligent spray curing node;

[0166] Anomaly detection module: Used to acquire construction data and import the construction data into the twin management platform to match and compare it with preset construction indicators to determine whether there are any construction anomalies.

[0167] The principle behind the above technical solution is as follows:

[0168] like Figure 2 As shown, this invention constructs an initial digital twin construction scenario model by acquiring construction parameters of a low-tower cable-stayed bridge, such as beam length, main cable spacing, and bridge deck width, as well as construction process information, such as material transportation, main cable installation, and prestressing. The key to this step is accurately recreating the real construction scenario, ensuring the model accurately reflects the various changes during actual construction. Secondly, the acquired construction process of the low-tower cable-stayed bridge is combined with the constructed initial construction scenario model to configure digital twin construction process nodes, thus forming a complete digital twin management platform. These nodes can include concrete construction nodes, pouring construction nodes, intelligent tensioning nodes, and intelligent spray curing nodes. By simulating these nodes, construction progress and quality can be controlled more precisely.

[0169] Finally, the actual construction data obtained, such as environmental parameters like temperature, humidity, and wind force, as well as construction indicators like concrete strength and concrete joint durability, are imported into the twin management platform and matched for comparison. If any construction anomalies are found, an alarm will be issued in a timely manner, allowing the construction team to adjust the construction plan promptly and ensure construction quality.

[0170] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A construction management method for low-tower cable-stayed bridges based on digital twins, characterized in that, include: Obtain the construction parameters of the low-tower cable-stayed bridge and build an initial construction scenario model using a digital twin; The construction process of the low-tower cable-stayed bridge was obtained and, combined with the initial construction scenario model, digital twin nodes of the construction process were configured to form a digital twin management platform; among them, The construction process twin nodes include: concrete construction node, pouring construction node, intelligent tensioning node, and intelligent spray curing node; The concrete construction nodes include: a concrete mix design layer, a concrete finishing layer, and a concrete curing layer; wherein... The concrete mix design layer uses environmental data from the current construction scenario to analyze concrete performance and generate concrete mix designs; among which, Concrete performance analysis includes: hydrothermal performance analysis, shrinkage deformation performance analysis, and environmental adaptability analysis; The fine concrete construction layer is used to divide the concrete pouring into zones according to the bridge stress model. The concrete curing layer is used to detect non-structural cracks in bridges and to determine the curing plan based on the test results. The intelligent tensioning node is used for tensioning visualization, wherein the visualization steps include: Pre-configure the control host; Connect the elongation sensor of the steel strand and the value receiver of the oil meter to the control host. The tensioning jacks of the low-tower cable-stayed bridge are connected to the main control unit, and error constraints are set. Based on the error constraint, the tensioning jacks are controlled by the control host to perform synchronous tensioning, and the real-time parameters of synchronous tensioning are displayed by the control host. Acquire construction data and import it into the twin management platform to match and compare it with preset construction indicators to determine if there are any construction anomalies.

2. The construction management method for a low-tower cable-stayed bridge based on digital twins as described in claim 1, characterized in that, The acquisition of construction parameters for low-tower cable-stayed bridges includes: Pre-acquiring construction scenario data and construction standards for low-tower cable-stayed bridges; The construction process was determined based on the construction standards for low-tower cable-stayed bridges; Based on construction scenario data, a construction process suppression assessment is conducted to determine whether non-standard processes exist; among them... When non-standard processes exist, determine the process deviations between the non-standard processes and the construction standards, and determine the process improvement needs; When non-standard processes are not available, generate construction parameters for a low-tower cable-stayed bridge.

3. The construction management method for a low-tower cable-stayed bridge based on digital twins as described in claim 1, characterized in that, The initial construction scenario model for building the digital twin includes: Acquire construction scene data to determine scene elements, construction scope, and construction dimensions at the construction site; A panoramic scan of the scene elements, construction scope, and construction dimensions was performed to construct the initial construction scene space; among which... Panoramic scanning is based on drone equipment or infrared sensing equipment; Use virtual engine rendering tools to render the initial construction scene space; Acquire construction materials, equipment, and personnel, and perform virtual configuration to generate an initial construction scenario model.

4. The construction management method for a low-tower cable-stayed bridge based on digital twins as described in claim 1, characterized in that, The pouring construction nodes include: main pier construction, module construction, cyclic cantilever pouring construction, and closure construction; among which... During modular construction, a hanging basket positioning system is set up, and monitoring and measurement points are set up according to the hanging basket positioning during the cyclic cantilever casting construction stage; among them, The monitoring and measurement points include: hanging basket line measuring points, construction beam segment measuring points, box girder axis measuring points, and pier top horizontal displacement measuring points.

5. The construction management method for a low-tower cable-stayed bridge based on digital twins as described in claim 1, characterized in that, The intelligent spraying maintenance node includes: The component configuration unit is used to configure the virtual spray curing components; among which, The spray maintenance component includes temperature and humidity acquisition elements, switch controller, water pressure rotary nozzle, automatic pressurization element, water pump, maintenance pipeline, water storage tank, power distribution box, and information transmission element; The spray curing components are configured inside the bridge in the initial construction scenario model, forming a temperature and humidity acquisition unit, an automatic pressurization unit, and an automatic spraying unit. By using the humidity acquisition unit and the automatic pressurization unit as feedback terminals for the automatic spraying unit, a virtual intelligent spraying maintenance system is formed.

6. The construction management method for a low-tower cable-stayed bridge based on digital twins as described in claim 1, characterized in that, The process of importing construction data into the twin management platform and matching and comparing it with preset construction indicators includes: Import the construction twin data of the low-tower cable-stayed bridge from the construction process twin nodes, perform cable-stayed bridge area segmentation, and determine multiple cable-stayed bridge areas; Extract construction twin data for each cable-stayed bridge area and match the construction twin data with preset construction indicators to determine the quality difference; Based on the quality difference, identify the areas with construction abnormalities and output the abnormal information.

7. The construction management method for a low-tower cable-stayed bridge based on digital twins as described in claim 6, characterized in that, The twin management platform is also used for: Obtain twin construction data for low-tower cable-stayed bridges; The twin construction data is divided according to different construction stages to generate corresponding monitoring reports; Feature extraction is performed on different construction stages to obtain twin construction feature data for the corresponding monitoring area, and feature fusion is performed on the twin construction feature data to obtain feature fusion data; By comparing the feature fusion data with that of the low-tower cable-stayed bridge, the location of the construction anomaly can be determined.

8. A construction management system for low-tower cable-stayed bridges based on digital twins, characterized in that, include: Initial Scene Model Building Module: Used to obtain construction parameters for low-tower cable-stayed bridges and build an initial construction scene model of the digital twin; The twin management module is used to acquire the construction process of a low-tower cable-stayed bridge and, combined with the initial construction scenario model, configure the digital twin nodes of the construction process to form a twin management platform; among which, The construction process twin nodes include: concrete construction node, pouring construction node, intelligent tensioning node, and intelligent spray curing node; The concrete construction nodes include: a concrete mix design layer, a concrete finishing layer, and a concrete curing layer; wherein... The concrete mix design layer uses environmental data from the current construction scenario to analyze concrete performance and generate concrete mix designs; among which, Concrete performance analysis includes: hydrothermal performance analysis, shrinkage deformation performance analysis, and environmental adaptability analysis; The fine concrete construction layer is used to divide the concrete pouring into zones according to the bridge stress model. The concrete curing layer is used to detect non-structural cracks in bridges and to determine the curing plan based on the test results. The intelligent tensioning node is used for tensioning visualization, wherein the visualization steps include: Pre-configure the control host; Connect the elongation sensor of the steel strand and the value receiver of the oil meter to the control host. The tensioning jacks of the low-tower cable-stayed bridge are connected to the main control unit, and error constraints are set. Based on the error constraint, the tensioning jacks are controlled by the control host to perform synchronous tensioning, and the real-time parameters of synchronous tensioning are displayed by the control host. Anomaly detection module: Used to acquire construction data and import the construction data into the twin management platform to match and compare it with preset construction indicators to determine whether there are any construction anomalies.

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