Digital twin-based extradosed cable-stayed bridge construction management method and system

Abstract

The invention relates to the field of extradosed cable-stayed bridge construction, and particularly provides a digital twinning-based extradosed cable-stayed bridge construction management method and system, and the method comprises the steps: obtaining construction parameters of an extradosed cable-stayed bridge, and building a digital twinning initial construction scene model; acquiring the construction process of the extradosed cable-stayed bridge, and configuring twin nodes of the construction process of digital twin in combination with the initial construction scene model to form a twin management platform; wherein twin nodes in the construction process comprise a concrete construction node, a pouring construction node, an intelligent tensioning node and an intelligent spraying maintenance node; and obtaining construction data, importing the construction data into the twin management platform, matching and comparing the construction data with a preset construction index, and judging whether a construction anomaly exists or not.

Description

Technical Field

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

[0002] At present, the low-tower cable-stayed bridge is a novel bridge type between the continuous beam bridge and the cable-stayed bridge. Its shape is similar to that of the cable-stayed bridge, and its main beam deck is similar to that of the continuous beam bridge. It has the characteristics of low tower, rigid beam and concentrated cables. Compared with the continuous beam, the low-tower cable-stayed bridge has the advantages of novel structure, large span capacity, simple construction and economy; compared with the cable-stayed bridge, it has the advantages of convenient construction, material saving and high main beam rigidity, which makes the low-tower cable-stayed bridge have broad development space.

[0003] Stress characteristics of low-tower cable-stayed bridges: Its stress performance is between that of beam bridges and cable-stayed bridges. Low-tower cable-stayed bridges bear vertical loads by bending, compression, shearing and tensioning the main beam. The cable-stayed cable is more like an external cable of the main beam in terms of stress characteristics, bearing part of the load and reinforcing the main beam. The cable-stayed cable only shares part of the load, and most of the load is borne by the bending and shearing of the beam. Its main beam has a large rigidity and is not only subjected to axial pressure, but also bears a considerable part of the bending moment and shear force. Its force division is more selective.

[0004] With the advancement of science and technology, bridge construction monitoring has also changed from traditional manual inspections and camera installation to methods based on artificial intelligence algorithms combined with high-definition cameras and sensors. However, most of the above monitoring methods are carried out for a certain type of construction, and the monitoring method for the overall construction progress and construction period of the bridge is still highly dependent on manual experience. When the on-site progress does not match the pre-established construction schedule, the subsequent processes cannot be carried out as scheduled. At this time, experienced dispatchers are often required to analyze the on-site situation, and then allocate resources and rearrange the construction period. How to use information technology to assist or replace manual labor is of great significance to the overall construction progress monitoring. Summary of the invention

[0005] The present invention provides a construction management method and system for a low-tower cable-stayed bridge based on digital twins, which can solve the problem that the monitoring method of the overall construction progress and construction period of the bridge is still highly dependent on manual experience. When the on-site progress does not match the pre-established construction period schedule, the subsequent processes cannot be carried out as scheduled. At this time, experienced dispatchers are often required to analyze the on-site situation and then allocate resources and rearrange the construction period.

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

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

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

[0009] The twin nodes of the construction process include: concrete construction nodes, pouring construction nodes, intelligent tensioning nodes and intelligent spray maintenance nodes;

[0010] Obtain construction data and import it into the twin management platform for matching and comparison with preset construction indicators to determine whether there are any construction anomalies.

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

[0012] Obtain construction scenario data and construction standards for low-tower cable-stayed bridges in advance;

[0013] Determine the construction process according to the construction standards of low-tower cable-stayed bridges;

[0014] According to the construction scene data, the construction process suppression judgment is carried out to determine whether there is a non-standard process;

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

[0016] When non-standard processes do not exist, the construction parameters of a low-tower cable-stayed bridge are generated.

[0017] In combination with the first aspect, the initial construction scene model of building a digital twin includes:

[0018] Obtain construction scene data to determine the scene elements, construction scope and construction size of the construction site;

[0019] Perform a panoramic scan of scene elements, construction scope and construction size to build the initial construction scene space;

[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] Obtain construction materials, construction equipment and construction personnel, and perform virtual configuration to generate an initial construction scene model.

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

[0024] The concrete mix ratio analysis layer is used for the environmental data of the current construction scene, to analyze the concrete performance and generate the concrete mix ratio;

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

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

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

[0028] In combination with the first aspect, the casting construction nodes include: main pier construction, module construction, cyclic cantilever casting construction and closing construction; wherein,

[0029] During module construction, the hanging basket is positioned, and monitoring measurement points are set according to the hanging basket positioning and the cycle cantilever casting construction stage;

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

[0031] In combination with the first aspect, the intelligent tensioning node is used for tensioning visualization, wherein the visualization step includes:

[0032] Pre-configured control host;

[0033] Connect the steel strand elongation sensor and the oil gauge value receiver to the control host;

[0034] Connect the tensioning jacks of the low-tower cable-stayed bridge through the control host and set error constraints;

[0035] According to the error constraints, the tensioning jack is controlled by the control host to perform synchronous tensioning, and the implementation parameters of the synchronous tensioning are displayed through the control host.

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

[0037] The component configuration unit is used to configure a virtual spray maintenance component; wherein,

[0038] The spray maintenance components include temperature and humidity collection components, switch controllers, water pressure rotating nozzles, automatic booster components, water pumps, maintenance pipelines, water storage tanks, distribution boxes, and information transmission components;

[0039] The spray maintenance components are configured in the bridge of the initial construction scene model, and constitute a temperature and humidity collection unit, an automatic pressurization unit and an automatic spray unit;

[0040] The humidity collection unit and the automatic pressurization unit are used as feedback ends of the automatic spray unit to form a virtual intelligent spray maintenance system.

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

[0042] Obtain construction data of the short-tower cable-stayed bridge imported into the construction process twin node, segment the cable-stayed bridge area, and determine multiple cable-stayed bridge areas;

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

[0044] According to the quality difference, the construction abnormality area is determined and the abnormal information of the construction abnormality is output.

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

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

[0047] Divide the twin construction data according to different construction stages and generate corresponding monitoring reports;

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

[0049] The feature fusion data are compared with the low-tower cable-stayed bridge to determine the abnormal locations of construction anomalies.

[0050] In the second aspect, a construction management system for a low-tower cable-stayed bridge based on digital twins includes:

[0051] Initial scene model building module: used to obtain the construction parameters of the low-tower cable-stayed bridge and build the initial construction scene model of the digital twin;

[0052] Twin management module: used to obtain the construction process of the low-tower cable-stayed bridge, and combined with the initial construction scene model, configure the digital twin construction process twin node to form a twin management platform;

[0053] The twin nodes of the construction process include: concrete construction nodes, pouring construction nodes, intelligent tensioning nodes and intelligent spray maintenance nodes;

[0054] Abnormality judgment module: used to obtain construction data and import the construction data into the twin management platform for matching and comparison with preset construction indicators to determine whether there are any construction abnormalities.

[0055] The beneficial effects of the present invention are:

[0056] This application builds an initial construction scene model of digital twins to simulate the actual construction process, and can manage all aspects of construction in a highly fine-grained manner. By configuring the construction process twin nodes in combination with digital twin technology, the construction process can be optimized, and problems with low bridge construction can be discovered and resolved in advance. By importing construction data into the twin management platform, real-time construction status monitoring can be obtained. Through real-time monitoring and analysis of construction data, safety hazards in construction can be discovered in a timely manner, measures can be taken to prevent accidents, and construction safety can be improved; by matching and comparing with preset construction indicators, deviations and anomalies in construction can be discovered in a timely manner, reducing the possibility of errors and rework.

[0057] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0058] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0060] Figure 1 It is a method flow chart of a construction management method of a low-tower cable-stayed bridge based on digital twin in an embodiment of the present invention;

[0061] Figure 2 1 is a system composition diagram of a construction management system for a low-tower cable-stayed bridge based on digital twins in an embodiment of the present invention;

[0062] Figure 3 Schematic diagram of the spraying of the spraying assembly in the embodiment of the present invention. DETAILED DESCRIPTION

[0063] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0064] In order to solve the management problems that may occur during the construction of a low-tower cable-stayed bridge, and the inability to integrate the existing intelligent monitoring capabilities, the present invention proposes a construction management method for a low-tower cable-stayed bridge based on digital twins, including:

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

[0066] The construction process of the low-tower cable-stayed bridge is obtained, and combined with the initial construction scene model, the construction process twin nodes of the digital twin are configured to form a twin management platform; among them, the construction process twin nodes include: concrete construction nodes, pouring construction nodes, intelligent tensioning nodes and intelligent spray maintenance nodes;

[0067] Obtain construction data and import it into the twin management platform for matching and comparison with preset construction indicators to determine whether there are any construction anomalies.

[0068] The principle of the above technical solution is:

[0069] like Figure 1 As shown, the present invention obtains the construction parameters of the low-tower cable-stayed bridge, such as beam length, main cable distance, bridge deck width, etc., as well as construction process information, such as material transportation, main cable installation, prestressing, etc., and constructs the initial construction scene model of the digital twin through these data to simulate the entire construction virtual scene and accurately restore the real construction scene. The initial construction scene model can truly reflect the various changes in the actual construction process.

[0070] Then, the obtained construction process of the low-tower cable-stayed bridge is combined with the constructed initial construction scene model to configure the digital twin construction process twin nodes to form a twin management platform. The construction process twin nodes include concrete construction nodes, pouring construction nodes, intelligent tensioning nodes, and intelligent spray maintenance nodes. By simulating these nodes, the construction progress and quality can be controlled more accurately, and supervision can be carried out at the same time.

[0071] Finally, the actual construction data obtained, such as environmental parameters such as temperature, humidity, wind force, and construction indicators such as the strength of concrete and the durability of concrete joints, are imported into the twin management platform and matched and compared to determine whether there are any construction anomalies and to issue alarms in a timely manner, thereby facilitating the construction party to adjust the construction plan in a timely manner and ensure construction quality.

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

[0073] This application builds an initial construction scene model of digital twins to simulate the actual construction process, and can manage all aspects of construction in a highly fine-grained manner. By configuring the construction process twin nodes in combination with digital twin technology, the construction process can be optimized, and problems with low bridge construction can be discovered and resolved in advance. By importing construction data into the twin management platform, real-time construction status monitoring can be obtained. Through real-time monitoring and analysis of construction data, safety hazards in construction can be discovered in a timely manner, measures can be taken to prevent accidents, and construction safety can be improved; by matching and comparing with preset construction indicators, deviations and anomalies in construction can be discovered in a timely manner, reducing the possibility of errors and rework.

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

[0075] Obtain construction scenario data and construction standards for low-tower cable-stayed bridges in advance;

[0076] Determine the construction process according to the construction standards of low-tower cable-stayed bridges;

[0077] According to the construction scene data, the construction process suppression judgment is carried out to determine whether there is a non-standard process;

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

[0079] When non-standard processes do not exist, the construction parameters of a low-tower cable-stayed bridge are generated.

[0080] The principle of the above technical solution is:

[0081] After obtaining relevant construction parameters, the present invention controls the construction process through these parameters.

[0082] In the specific implementation, we first obtained the data of the construction scene and determined the construction standards and construction data of the low-tower cable-stayed bridge. Then, based on the construction standards and construction data, we determined the appropriate construction process. Then, using the construction scene data, we performed a suppression judgment on the construction process. The purpose of the suppression judgment is to find out whether there are non-standard processes.

[0083] If there is, the deviation between the non-standard process and the construction standard process can be determined, and the need for process improvement can be determined. On the other hand, if there is no non-standard process, the construction parameters of the low-tower cable-stayed bridge can be generated. Ensure that the processes and parameters used are in line with the pre-set construction requirements.

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

[0085] The present invention can utilize construction scene data and construction standards of low-tower cable-stayed bridges, and perform suppression judgment thereon, and can control the construction process, thereby improving construction efficiency and quality.

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

[0087] Obtain construction scene data to determine the scene elements, construction scope and construction size of the construction site;

[0088] Perform a panoramic scan of scene elements, construction scope and construction size to build the initial construction scene space;

[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] Obtain construction materials, construction equipment and construction personnel, and perform virtual configuration to generate an initial construction scene model.

[0092] The principle of the above technical solution is:

[0093] The present invention obtains construction scene data. First, various data related to the construction site of the low-tower cable-stayed bridge to be built are collected and organized, including but not limited to geographical location information, topography, building structure, construction equipment, etc. These data can be obtained through remote sensing images, field survey reports, design drawings, etc.

[0094] Then, the scene elements, construction scope and construction size of the construction site are determined: after obtaining sufficient construction scene data, the construction scene data is processed and analyzed according to actual needs to accurately depict the construction scene of the proposed low-tower cable-stayed bridge.

[0095] In this process, it is necessary to screen, classify, and merge data in order to obtain modeling parameters.

[0096] The scene elements, construction scope and construction size are scanned panoramically to build 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 building a three-dimensional digital model, effect rendering and construction configuration can be achieved.

[0097] Use virtual engine rendering tools to render the initial construction scene space. In this process, use virtual engine rendering tools to render the initial construction scene space to more intuitively display and grasp the appearance and atmosphere of the model. Obtain construction materials, construction equipment and construction personnel, and perform virtual configuration to generate the initial construction scene model.

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

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

[0100] The concrete mix ratio analysis layer is used for the environmental data of the current construction scene, to analyze the concrete performance and generate the concrete mix ratio;

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

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

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

[0104] The principle of the above technical solution is:

[0105] In the construction process of the present invention, the use of concrete is a crucial link, and the quality of concrete directly affects the safety and use effect of the entire project. Therefore, the present invention manages the concrete construction process in a refined manner by setting up a concrete ratio analysis layer, a concrete fine construction layer and a concrete curing layer, thereby ensuring the concrete quality and construction safety.

[0106] In the concrete mix analysis layer, by collecting and processing the environmental data of the current construction scene, the environmental data is used to analyze and process the concrete performance to form a target concrete mix suitable for the scene. The target concrete mix not only has sufficient strength, but also has good workability and durability to ensure the long-term stable operation of the project. In terms of concrete performance analysis, three key factors are mainly considered: hydrothermal performance, shrinkage deformation performance, and environmental adaptability. These three factors jointly determine the durability and service life of concrete.

[0107] In the concrete fine construction layer, the concrete pouring will be divided into zones according to the force model of the bridge to ensure uniform pouring of concrete and avoid problems such as local overload or local voids. At the same time, this method is also conducive to reducing waste and improving material utilization. In the concrete curing layer, it will be responsible for detecting non-structural cracks in the bridge. Because it is impossible to completely avoid the problem of cracks in either design or construction, the monitoring mechanism of this application can be used to promptly detect and solve the problem. Once a problem is found, a suitable maintenance plan will be formulated based on the location and size of the cracks.

[0108] As an embodiment of the present invention, the casting construction nodes include: main pier construction, module construction, cyclic cantilever casting construction and closing construction; wherein,

[0109] During module construction, the hanging basket is positioned, and monitoring measurement points are set according to the hanging basket positioning and the cycle cantilever casting construction stage;

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

[0111] The principle of the above technical solution is:

[0112] The present invention requires construction of the main pier, which is the basis of the entire construction. The construction of the main pier needs to ensure that its position is accurate, so a special main pier construction monitoring point needs to be set up.

[0113] Secondly, it is module construction. During module construction, it is necessary to set up a hanging basket for positioning. At the same time, it is also necessary to set up monitoring and measurement points during the cycle cantilever casting construction stage. The setting of monitoring and measurement points is used to monitor various data during the construction process in real time to ensure the construction quality.

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

[0115] Through the above-mentioned construction management, real-time monitoring of the entire construction process can be achieved, problems can be discovered 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 step includes:

[0117] Pre-configured control host;

[0118] Connect the steel strand elongation sensor and the oil gauge value receiver to the control host;

[0119] Connect the tensioning jacks of the low-tower cable-stayed bridge through the control host and set error constraints;

[0120] According to the error constraints, the tensioning jack is controlled by the control host to perform synchronous tensioning, and the implementation parameters of the synchronous tensioning are displayed through the control host.

[0121] The principle of the above technical solution is:

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

[0123] When the system is initialized, the control host is configured to have the computing power to process and tension data.

[0124] Secondly, the elongation sensor of the steel strand and the value receiver of the oil gauge are connected to the control host. In this case, whether it is the change in the length of the steel strand or the change in the oil gauge reading, it can be obtained by the control host in real time and incorporated into the subsequent control.

[0125] Next, the tensioning jacks of the low-tower cable-stayed bridge are connected through the control host, and error constraints are set. Error constraints are set to prevent excessive deviations that may occur during the tensioning process during actual operation. Once this range is exceeded, an alarm will be issued or the tensioning process will be automatically stopped.

[0126] Then, according to the error constraint, the tensioning jack is synchronously controlled by the control host. Synchronous control is carried out while ensuring that all links in the tensioning process are highly consistent, effectively avoiding losses caused by asynchrony.

[0127] At the same time, 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 so as to make corresponding adjustments. At the same time, this data display method is also convenient for data analysis and summary.

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

[0129] The component configuration unit is used to configure a virtual spray maintenance component; wherein,

[0130] The spray maintenance components include temperature and humidity collection components, switch controllers, water pressure rotating nozzles, automatic booster components, water pumps, maintenance pipelines, water storage tanks, distribution boxes, and information transmission components;

[0131] The spray maintenance components are configured in the bridge of the initial construction scene model, and constitute a temperature and humidity collection unit, an automatic pressurization unit and an automatic spray unit;

[0132] The humidity collection unit and the automatic pressurization unit are used as feedback ends of the automatic spray unit to form a virtual intelligent spray maintenance system.

[0133] The principle of the above technical solution is:

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

[0135] Next, the generated construction scene model is associated with the actual construction environment, and the construction scene model is connected to the actual environment through the data interface to achieve real-time data synchronization. In this way, no matter where the construction workers are, they can obtain real-time construction information through the model.

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

[0137] In actual implementation, the intelligent spray maintenance system is divided into five parts: temperature and humidity acquisition system, automatic boosting system, spraying system, water storage system, and intelligent monitoring system. The temperature and humidity acquisition system uses temperature and humidity sensors as the main components, with a temperature measurement range of -40℃~120℃, a humidity measurement range of 0%~100%RH, a temperature accuracy of ±0.5℃(25℃), and a humidity accuracy of ±3%RH(5%RH~95%RH, 25℃). The temperature and humidity sensor is set on the concrete surface. The temperature and humidity signals are collected through the integrated temperature and humidity probe as a temperature measuring element. After voltage stabilization filtering, operational amplification, nonlinear correction, V / I conversion, constant current and reverse protection circuit processing, it is converted into a current signal or voltage signal output that is linearly related to temperature and humidity. The output signal is transmitted to the switch controller. The switch controller sets the temperature and humidity limit values. The switch is disconnected when the temperature is ≤35℃ and the switch is disconnected when the humidity is ≧90%. The automatic boosting system is composed of a vertical multi-stage 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, that is, the working state of the vertical multistage pump is controlled by the switch controller. The water pressure is set to 0.5MPa on the pressure controller. When the vertical multistage pump starts working, the water flows into the spray system to start spraying maintenance when the water pressure exceeds 0.5MPa; when the vertical multistage pump stops working, the water stops entering the spray system to stop spraying maintenance when the water pressure is lower than 0.5MPa.

[0138] The intelligent spray curing system collects the real-time status of concrete through the temperature and humidity data acquisition component and transmits the temperature and humidity of the concrete surface to the controller. The controller sets the upper and lower limits of temperature and humidity, and achieves the effect of intelligent spraying by controlling the spray switch when the limit is reached.

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

[0140] Obtain construction data of the short-tower cable-stayed bridge imported into the construction process twin node, segment the cable-stayed bridge area, and determine multiple cable-stayed bridge areas;

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

[0142] According to the quality difference, the construction abnormality area is determined and the abnormal information of the construction abnormality is output.

[0143] The principle of the above technical solution is:

[0144] The present invention obtains construction data and imports it into the construction process twin node. Before starting construction, the system automatically obtains relevant construction data, such as design drawings, material lists, construction personnel, etc., and imports them into the construction process twin node. The construction process twin node is obtained by digitally simulating 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 facilitate the discovery of problems and make improvements.

[0145] The cable-stayed bridge area is segmented to determine multiple cable-stayed bridge areas. Next, the construction data will be imported into the cable-stayed bridge area. In order to better manage and control the cable-stayed bridge area, these areas will be segmented to form multiple sub-areas. Each sub-area corresponds to a specific construction twin data. The construction twin data of each cable-stayed bridge area is extracted and matched with the preset construction indicators to determine the quality difference. The data of each cable-stayed bridge area will be analyzed in detail. First, the construction data in each area will be extracted, and then the data will be matched with the preset construction indicators. The purpose of this is to find deviations or anomalies in the data so that the construction plan and strategy can be adjusted in time.

[0146] After the matching is completed, the system will calculate the quality difference of each area as an important reference for evaluating the construction quality of the area. The present invention determines the construction abnormality area based on the quality difference and outputs the abnormal information of the construction abnormality. By comparing the construction twin data of each cable-stayed bridge area with the preset construction indicators, the area with poor quality can be found. These areas are the construction abnormality areas. These abnormal information will be automatically recorded, and when necessary, an early warning will be issued to the project manager or construction personnel so that timely measures can be taken to avoid the expansion of the problem.

[0147] As an 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] Divide the twin construction data according to different construction stages and generate corresponding monitoring reports;

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

[0151] The feature fusion data are compared with the low-tower cable-stayed bridge to determine the abnormal locations of construction anomalies.

[0152] The principle of the above technical solution is:

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

[0154] At the same time, feature extraction and feature fusion are performed for different construction stages to obtain data of the corresponding monitoring area. Finally, by comparing the feature fusion data with the actual low-tower cable-stayed bridge, the abnormal locations in the construction process are determined, and timely measures are taken to ensure the quality of the project.

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

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

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

[0158] The third step is to process the twin data. First, divide it into 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 the construction progress of each stage, extract key information in the construction process, such as material usage, construction delays, etc., and form corresponding feature data;

[0160] The fifth step is to fuse the feature data of 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 find out the abnormal points in the construction process, such as long-term idle materials and serious delays in construction period, and to warn or deal with the abnormal situations.

[0162] In a second aspect, the present invention proposes a construction management system for a low-tower cable-stayed bridge based on digital twins, comprising:

[0163] Initial scene model building module: used to obtain the construction parameters of the low-tower cable-stayed bridge and build the initial construction scene model of the digital twin;

[0164] Twin management module: used to obtain the construction process of the low-tower cable-stayed bridge, and combined with the initial construction scene model, configure the digital twin construction process twin node to form a twin management platform;

[0165] The twin nodes of the construction process include: concrete construction nodes, pouring construction nodes, intelligent tensioning nodes and intelligent spray maintenance nodes;

[0166] Abnormality judgment module: used to obtain construction data and import the construction data into the twin management platform for matching and comparison with preset construction indicators to determine whether there are any construction abnormalities.

[0167] The principle of the above technical solution is:

[0168] like Figure 2 As shown, the present invention constructs an initial construction scene model of the digital twin by acquiring the construction parameters of the low-tower cable-stayed bridge, such as beam length, main cable distance, bridge deck width, etc., as well as construction process information, such as material transportation, installation of main cables, prestressing, etc. The key to this step is how to accurately restore the real construction scene so that the model can truly reflect the various changes in the actual construction process. Secondly, the obtained construction process of the low-tower cable-stayed bridge is combined with the above-constructed initial construction scene model to configure the construction process twin nodes of the digital twin, thereby forming a complete twin management platform. These nodes may include concrete construction nodes, pouring construction nodes, intelligent tensioning nodes, and intelligent spray maintenance nodes. By simulating these nodes, the construction progress and quality can be more accurately controlled.

[0169] Finally, the actual construction data obtained, such as environmental parameters such as temperature, humidity, wind speed, and construction indicators such as the strength of concrete and the durability of concrete joints, will be imported into the twin management platform for matching and comparison. If any construction abnormalities are found, an alarm will be issued in time to facilitate the construction party to adjust the construction plan in time to ensure construction quality.

[0170] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A construction management method for a low-tower cable-stayed bridge based on digital twins, characterized in that: include: Obtain the construction parameters of the low-tower cable-stayed bridge and build the initial construction scene model of the digital twin; The construction process of the low-tower cable-stayed bridge is obtained, and combined with the initial construction scene model, the construction process twin nodes of the digital twin are configured to form a twin management platform; among them, The twin nodes of the construction process include: concrete construction nodes, pouring construction nodes, intelligent tensioning nodes and intelligent spray maintenance nodes; Obtain construction data and import it into the twin management platform for matching and comparison with preset construction indicators to determine whether there are any construction anomalies.

2. A construction management method for a low-tower cable-stayed bridge based on digital twins as claimed in claim 1, characterized in that: The method of obtaining the construction parameters of the low-tower cable-stayed bridge includes: Obtain construction scenario data and construction standards for low-tower cable-stayed bridges in advance; Determine the construction process according to the construction standards of low-tower cable-stayed bridges; According to the construction scene data, the construction process suppression judgment is carried out to determine whether there is a non-standard process; When non-standard processes exist, determine the process deviation between the non-standard process and the construction standard, and determine the process improvement needs; When non-standard processes do not exist, the construction parameters of a low-tower cable-stayed bridge are generated.

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

4. A construction management method for a low-tower cable-stayed bridge based on digital twins as claimed in claim 1, characterized in that: The concrete construction node includes: a concrete mix analysis layer, a concrete fine construction layer and a concrete curing layer; wherein, The concrete mix ratio analysis layer is used for the environmental data of the current construction scene, to analyze the concrete performance and generate the concrete mix ratio; Concrete performance analysis includes: hydrothermal performance analysis, shrinkage deformation performance analysis and environmental adaptability analysis; The concrete fine construction layer is used to divide the concrete pouring into zones according to the bridge force model; The concrete curing layer is used to detect non-structural cracks in bridges and determine the maintenance plan based on the test results.

5. The construction management method of a low-tower cable-stayed bridge based on digital twin according to claim 1, characterized in that: The pouring construction nodes include: main pier construction, module construction, circulating cantilever pouring construction and closing construction; During module construction, the hanging basket is positioned, and monitoring measurement points are set according to the hanging basket positioning and the cycle cantilever casting construction stage; The monitoring measurement points include: hanging basket line measurement points, construction beam section measurement points, section box beam axis measurement points and pier top horizontal displacement measurement points.

6. A construction management method for a low-tower cable-stayed bridge based on digital twins as claimed in claim 1, characterized in that: The intelligent tensioning node is used for tensioning visualization, wherein the visualization step includes: Pre-configured control host; Connect the steel strand elongation sensor and the oil gauge value receiver to the control host; Connect the tensioning jacks of the low-tower cable-stayed bridge through the control host and set error constraints; According to the error constraints, the tensioning jack is controlled by the control host to perform synchronous tensioning, and the real-time parameters of the synchronous tensioning are displayed through the control host.

7. A construction management method for a low-tower cable-stayed bridge based on digital twins as claimed in claim 1, characterized in that: The intelligent spray maintenance node includes: The component configuration unit is used to configure a virtual spray maintenance component; wherein, The spray maintenance components include temperature and humidity collection components, switch controllers, water pressure rotating nozzles, automatic booster components, water pumps, maintenance pipelines, water storage tanks, distribution boxes, and information transmission components; The spray maintenance components are configured in the bridge of the initial construction scene model, and constitute a temperature and humidity collection unit, an automatic pressurization unit and an automatic spray unit; The humidity collection unit and the automatic pressurization unit are used as feedback ends of the automatic spray unit to form a virtual intelligent spray maintenance system.

8. The construction management method of a low-tower cable-stayed bridge based on digital twin as claimed in claim 1, characterized in that: Importing the construction data into the twin management platform for matching and comparing with the preset construction indicators includes: Obtain construction data of the short-tower cable-stayed bridge imported into the construction process twin node, segment the cable-stayed bridge area, and determine multiple cable-stayed bridge areas; Extract the construction twin data of each cable-stayed bridge area and match the construction twin data with the preset construction indicators to determine the quality difference; According to the quality difference, the construction abnormality area is determined and the abnormal information of the construction abnormality is output.

9. A construction management method for a low-tower cable-stayed bridge based on digital twins as claimed in claim 8, characterized in that: The twin management platform is also used for: Obtain twin construction data for low-tower cable-stayed bridges; Divide the twin construction data according to different construction stages and generate corresponding monitoring reports; Feature extraction is performed on different construction stages to obtain twin construction feature data of the corresponding monitoring area, and feature fusion is performed on the twin construction feature data to obtain feature fusion data; The feature fusion data are compared with the low-tower cable-stayed bridge to determine the abnormal locations of construction anomalies.

10. A construction management system for a low-tower cable-stayed bridge based on digital twins, characterized in that: include: Initial scene model building module: used to obtain the construction parameters of the low-tower cable-stayed bridge and build the initial construction scene model of the digital twin; Twin management module: used to obtain the construction process of the low-tower cable-stayed bridge, and combined with the initial construction scene model, configure the digital twin construction process twin node to form a twin management platform; The twin nodes of the construction process include: concrete construction nodes, pouring construction nodes, intelligent tensioning nodes and intelligent spray maintenance nodes; Abnormality judgment module: used to obtain construction data and import the construction data into the twin management platform for matching and comparison with preset construction indicators to determine whether there are any construction abnormalities.

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