WO2023159810A1 - Digital twinning-based construction monitoring method and system for concrete-filled steel tube arch bridges - Google Patents
Digital twinning-based construction monitoring method and system for concrete-filled steel tube arch bridges Download PDFInfo
- Publication number
- WO2023159810A1 WO2023159810A1 PCT/CN2022/098706 CN2022098706W WO2023159810A1 WO 2023159810 A1 WO2023159810 A1 WO 2023159810A1 CN 2022098706 W CN2022098706 W CN 2022098706W WO 2023159810 A1 WO2023159810 A1 WO 2023159810A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- arch bridge
- digital twin
- data
- arch
- construction
- Prior art date
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Definitions
- the invention relates to the technical field of arch bridge construction, in particular to a digital twin-based construction monitoring method and system for a concrete-filled steel tube arch bridge.
- Bridge construction monitoring can ensure the safety of bridges.
- the usual bridge construction monitoring method is to install various sensors to monitor data in real time. Due to the installation of many sensors, problems such as cable crossing and affecting the normal construction process are prone to occur, and due to the influence of the construction site, the detection accuracy of the sensor is prone to fail to meet the requirements.
- Digital twin technology is widely used in product design, product manufacturing, medical analysis and other fields.
- digital twin technology has not been widely used in the bridge field.
- the bridge includes many concrete-filled steel tube segments. If the characteristic data of each component is not selected properly or is missing, the established digital twin model will not be accurate, and the purpose of monitoring the bridge construction will not be achieved.
- the purpose of the present invention is to provide a construction monitoring method and system for concrete-filled steel pipe arch bridges based on digital twins, which can realize intelligent monitoring of the construction process of the arch bridge, and ensure that each segment is smooth according to the design during actual construction. To improve construction efficiency.
- the embodiment of the present invention provides a method for monitoring the construction of a concrete-filled steel tube arch bridge based on digital twins, including:
- the data of the arch bridge entity digital twin model is compared with the early warning threshold to monitor the construction process of the arch bridge.
- establish coordinates in the virtual digital twin model determine the position of the abutment and each arch rib segment, and import the mechanical property data of the arch rib and abutment after each construction step.
- the physical form feature data includes the shape and location of the abutment and the arch rib.
- the system issues an early warning when the data in the arch bridge physical digital twin model exceeds the early warning threshold of the virtual digital twin model.
- the physical shape feature data is acquired by a laser radar and a three-dimensional scanning device
- the mechanical property data is acquired by a stress and strain sensor.
- the stress-strain sensor is installed at the abutment, the arch rib segment and the joint of the arch rib segment.
- embodiments of the present invention also provide a digital twin-based construction monitoring system for concrete-filled steel tube arch bridges, including:
- the data preprocessing module is used to obtain the physical shape characteristic data and mechanical property data of the arch bridge, and perform preprocessing to eliminate abnormal data;
- the virtual digital twin model building block is used to build a virtual digital twin model and determine the early warning threshold of each component of the arch bridge;
- the arch bridge entity digital twin model building module is used to input the preprocessed physical form feature data and mechanical property data into the virtual digital twin model, and establish the arch bridge entity digital twin model that changes with the construction time;
- the data comparison module is used to compare the data of the arch bridge entity digital twin model with the early warning threshold to monitor the construction process of the arch bridge.
- the physical shape feature data is acquired by a laser radar and a three-dimensional scanning device
- the mechanical property data is acquired by a stress and strain sensor.
- the stress-strain sensor is installed at the abutment, the arch rib segment and the joint of the arch rib segment.
- the present invention obtains the physical form feature data and mechanical property data of the arch bridge, and performs preprocessing, and inputs the preprocessed physical form feature data and mechanical property data into the virtual digital twin model, and establishes the arch bridge entity digital twin model that changes with the construction time; Comparing the data of the arch bridge physical digital twin model with the early warning threshold can accurately monitor the construction process of the arch bridge.
- the physical form characteristic data of the present invention comprises the shape and the setting position of abutment, arch rib, and mechanical property data is obtained by being installed in the stress-strain sensor of abutment, arch rib section and arch rib section junction, required sensor type, The number is relatively small and will not affect the normal construction process of the arch bridge.
- Figure 1 is a flowchart of the present invention according to one or more embodiments.
- This embodiment provides a method for monitoring the construction of a concrete-filled steel tube arch bridge based on digital twins, including:
- the data of the arch bridge entity digital twin model is compared with the early warning threshold to monitor the construction process of the arch bridge.
- Step 1 Before construction, set laser radar, 3D scanning device, and monitoring system on the construction site in advance, and install stress and strain sensors in the components.
- the laser radar and 3D scanning device are used to obtain the characteristic data of the physical shape of the arch bridge, and the monitoring system obtains on-site image data.
- Stress and strain sensors acquire mechanical property data of components during construction.
- the stress and strain sensors are installed on the abutment, the arch rib segment and the joint of the arch rib segment.
- Step 2 Import the arch bridge structural design data and construction organization design data into the virtual space, establish virtual digital twin models of each stage of construction, establish coordinates, establish the position of the abutment and each prefabricated arch rib segment, and import them after each construction step The geometric and mechanical property data of the arch rib and abutment, and set the early warning threshold according to the requirements of the code.
- the construction process of the virtual digital twin model is as follows: use the three-dimensional model to construct the virtual digital twin model, insert the abutment shape and setting position, and number each prefabricated arch rib segment. In terms of geometric space, determine the spatial coordinate position of the arch base and each segment to ensure that the shape of the arch ring is correct after closing; in terms of mechanical properties, calculate the force of the arch ring and support after each segment is installed, including self-weight, Displacement, stress, support settlement, etc., set the early warning threshold for each physical property according to the design stress situation and specification requirements.
- Step 3 Preprocess the solid geometry and mechanical properties and other data collected by laser radar, 3D scanning device, monitoring system, and stress and strain sensors installed in the components during the construction process, and eliminate abnormal data.
- Step 4 Import the preprocessed data into the virtual space, and establish a physical digital twin model of the arch bridge that changes continuously with the progress of construction.
- the physical digital twin model of the construction process uses the data from the laser radar installed on site, the monitoring system, the three-dimensional scanning device, the stress and strain sensors installed on the abutment, the segment and the segment connection, etc.
- the geometric model and physical and mechanical characteristics of the segment after installation create a three-dimensional model to import the above data into it, and at the same time import changes in the configuration of on-site construction personnel and material usage into the model in real time.
- Step 5 Connect the data of the physical digital twin model and the virtual digital twin model, and compare and check the physical stress, segment connection, construction site scheduling, etc. during the construction process to ensure safe and smooth construction.
- the data of the physical digital twin model comes from laser radar, monitoring system, three-dimensional scanning device, and stress and strain sensors, and can obtain geometric models and physical and mechanical characteristics from the beginning of construction to the installation of each segment.
- the physical digital twin model can also include construction schedule design, construction site zoning design, equipment material use, personnel allocation and other construction organization design data, so that equipment material use and personnel can be intelligently allocated to the site according to the construction process.
- This embodiment realizes the intelligent monitoring and control of the construction process by establishing the digital twin model of the on-site assembly type construction entity corresponding to the design data, ensuring that the installation of each component is carried out smoothly according to the design, ensuring the construction quality, preventing accidents, and improving construction efficiency.
- This embodiment provides a digital twin-based concrete-filled steel tube arch bridge construction monitoring system, including:
- the data preprocessing module is used to obtain the physical shape characteristic data and mechanical property data of the arch bridge, and perform preprocessing to eliminate abnormal data;
- the virtual digital twin model building block is used to build a virtual digital twin model and determine the early warning threshold of each component of the arch bridge;
- the arch bridge entity digital twin model building module is used to input the preprocessed physical form feature data and mechanical property data into the virtual digital twin model, and establish the arch bridge entity digital twin model that changes with the construction time;
- the data comparison module is used to compare the data of the arch bridge entity digital twin model with the early warning threshold to monitor the construction process of the arch bridge.
- Physical morphological feature data is obtained by laser radar and three-dimensional scanning device, and mechanical property data is obtained by stress and strain sensors.
- the stress and strain sensors are installed on the abutment, the arch rib segment and the joint of the arch rib segment.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Structural Engineering (AREA)
- Computational Mathematics (AREA)
- Civil Engineering (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Architecture (AREA)
- Bridges Or Land Bridges (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
The present invention relates to the technical field of arch bridge construction. Disclosed in the present invention are a digital twinning-based construction monitoring method and system for concrete-filled steel tube arch bridges, the method comprising: acquiring physical form feature data and mechanical property data of an arch bridge, carrying out preprocessing, and removing abnormal data; constructing a virtual digital twinning model, and determining an early warning threshold value of each component of the arch bridge; inputting the preprocessed physical form feature data and mechanical property data into the virtual digital twinning model, and establishing an arch bridge entity digital twinning model varying with construction time; comparing data of the arch bridge entity digital twinning model with the early warning threshold values to monitor an arch bridge construction process. The present invention can implement intelligent monitoring of the arch bridge construction process, ensure that each segment is smoothly carried out according to design during actual construction, and improve construction efficiency.
Description
本发明涉及拱桥施工技术领域,尤其涉及一种基于数字孪生的钢管混凝土拱桥施工监控方法及系统。The invention relates to the technical field of arch bridge construction, in particular to a digital twin-based construction monitoring method and system for a concrete-filled steel tube arch bridge.
桥梁施工监控能够保证桥梁的安全性,目前,通常的桥梁施工监控方法为安装各种传感器,以实时监测数据。由于传感器安装较多,容易出现线缆交叉、影响正常施工过程等问题,而且受施工现场影响,传感器容易出现检测精度不满足要求的现象。Bridge construction monitoring can ensure the safety of bridges. At present, the usual bridge construction monitoring method is to install various sensors to monitor data in real time. Due to the installation of many sensors, problems such as cable crossing and affecting the normal construction process are prone to occur, and due to the influence of the construction site, the detection accuracy of the sensor is prone to fail to meet the requirements.
数字孪生技术在产品设计、产品制造、医学分析等领域应用较为普遍,但是由于桥梁工程的施工环境比较复杂,数字孪生技术并未在桥梁领域得到广泛应用。而且,桥梁包括很多钢管混凝土节段,如果各构件的特征数据选择不合适或有遗漏,则建立的数字孪生模型并不准确,达不到对桥梁施工的监控目的。Digital twin technology is widely used in product design, product manufacturing, medical analysis and other fields. However, due to the complex construction environment of bridge engineering, digital twin technology has not been widely used in the bridge field. Moreover, the bridge includes many concrete-filled steel tube segments. If the characteristic data of each component is not selected properly or is missing, the established digital twin model will not be accurate, and the purpose of monitoring the bridge construction will not be achieved.
发明内容Contents of the invention
针对现有技术存在的不足,本发明的目的是提供一种基于数字孪生的钢管混凝土拱桥施工监控方法及系统,能够实现对拱桥施工过程的智能监控,保证实际施工时每一节段按设计顺利进行,提高施工效率。In view of the deficiencies in the prior art, the purpose of the present invention is to provide a construction monitoring method and system for concrete-filled steel pipe arch bridges based on digital twins, which can realize intelligent monitoring of the construction process of the arch bridge, and ensure that each segment is smooth according to the design during actual construction. To improve construction efficiency.
为了实现上述目的,本发明是通过如下的技术方案来实现:In order to achieve the above object, the present invention is achieved through the following technical solutions:
第一方面,本发明的实施例提供了一种基于数字孪生的钢管混凝土拱桥施工监控方法,包括:In the first aspect, the embodiment of the present invention provides a method for monitoring the construction of a concrete-filled steel tube arch bridge based on digital twins, including:
获取拱桥物理形态特征数据和力学性质数据,并进行预处理,剔除异常数据;Obtain the physical form characteristic data and mechanical property data of the arch bridge, and perform preprocessing to eliminate abnormal data;
构建虚拟数字孪生模型,确定拱桥各构件预警阈值;Construct a virtual digital twin model to determine the early warning threshold of each component of the arch bridge;
将预处理后的物理形态特征数据和力学性质数据输入虚拟数字孪生模型,建立随施工时间变化的拱桥实体数字孪生模型;Input the preprocessed physical form feature data and mechanical property data into the virtual digital twin model to establish a digital twin model of the arch bridge entity that changes with the construction time;
将拱桥实体数字孪生模型的数据与预警阈值对比,以监控拱桥施工过程。The data of the arch bridge entity digital twin model is compared with the early warning threshold to monitor the construction process of the arch bridge.
作为进一步的实现方式,在虚拟数字孪生模型中建立坐标,确定拱座及每一拱肋节段的位置,导入每一施工步骤结束后的拱肋及拱座的力学性质数据。As a further implementation method, establish coordinates in the virtual digital twin model, determine the position of the abutment and each arch rib segment, and import the mechanical property data of the arch rib and abutment after each construction step.
作为进一步的实现方式,所述物理形态特征数据包括拱座、拱肋的形状及设置位置。As a further implementation manner, the physical form feature data includes the shape and location of the abutment and the arch rib.
作为进一步的实现方式,计算每一拱肋节段安装后拱圈及支座的受力情况,根据设计受力情况及对应规范设置每一参数的预警预制。As a further implementation method, calculate the force condition of the arch ring and support after the installation of each arch rib segment, and set the early warning prefabrication of each parameter according to the design force condition and corresponding specifications.
作为进一步的实现方式,拱桥实体数字孪生模型中的数据超出虚拟数字孪生模型的预警阈值时,系统发出预警。As a further implementation, when the data in the arch bridge physical digital twin model exceeds the early warning threshold of the virtual digital twin model, the system issues an early warning.
作为进一步的实现方式,所述物理形态特征数据通过激光雷达和三维扫描装置获取,力学性质数据通过应力应变传感器获取。As a further implementation, the physical shape feature data is acquired by a laser radar and a three-dimensional scanning device, and the mechanical property data is acquired by a stress and strain sensor.
作为进一步的实现方式,所述应力应变传感器安装于拱座、拱肋节段及拱肋节段连接处。As a further implementation manner, the stress-strain sensor is installed at the abutment, the arch rib segment and the joint of the arch rib segment.
第二方面,本发明的实施例还提供了一种基于数字孪生的钢管混凝土拱桥施工监控系统,包括:In the second aspect, embodiments of the present invention also provide a digital twin-based construction monitoring system for concrete-filled steel tube arch bridges, including:
数据预处理模块,用于获取拱桥物理形态特征数据和力学性质数据,并进行预处理,剔除异常数据;The data preprocessing module is used to obtain the physical shape characteristic data and mechanical property data of the arch bridge, and perform preprocessing to eliminate abnormal data;
虚拟数字孪生模型构建模块,用于构建虚拟数字孪生模型,确定拱桥各构件预警阈值;The virtual digital twin model building block is used to build a virtual digital twin model and determine the early warning threshold of each component of the arch bridge;
拱桥实体数字孪生模型建立模块,用于将预处理后的物理形态特征数据和力学性质数据输入虚拟数字孪生模型,建立随施工时间变化的拱桥实体数字孪生模型;The arch bridge entity digital twin model building module is used to input the preprocessed physical form feature data and mechanical property data into the virtual digital twin model, and establish the arch bridge entity digital twin model that changes with the construction time;
数据对比模块,用于将拱桥实体数字孪生模型的数据与预警阈值对比,以监控拱桥施工过程。The data comparison module is used to compare the data of the arch bridge entity digital twin model with the early warning threshold to monitor the construction process of the arch bridge.
作为进一步的实现方式,所述物理形态特征数据通过激光雷达和三维扫描装置获取,力学性质数据通过应力应变传感器获取。As a further implementation, the physical shape feature data is acquired by a laser radar and a three-dimensional scanning device, and the mechanical property data is acquired by a stress and strain sensor.
作为进一步的实现方式,所述应力应变传感器安装于拱座、拱肋节段及拱肋节段连接处。As a further implementation manner, the stress-strain sensor is installed at the abutment, the arch rib segment and the joint of the arch rib segment.
本发明的有益效果如下:The beneficial effects of the present invention are as follows:
本发明通过获取拱桥物理形态特征数据和力学性质数据,并进行预处理,将预处理后的物理形态特征数据和力学性质数据输入虚拟数字孪生模型,建立随施工时间变化的拱桥实体数字孪生模型;将拱桥实体数字孪生模型的数据与预警阈值对比,能够对拱桥施工过程进行精准的监控。The present invention obtains the physical form feature data and mechanical property data of the arch bridge, and performs preprocessing, and inputs the preprocessed physical form feature data and mechanical property data into the virtual digital twin model, and establishes the arch bridge entity digital twin model that changes with the construction time; Comparing the data of the arch bridge physical digital twin model with the early warning threshold can accurately monitor the construction process of the arch bridge.
本发明的物理形态特征数据包括拱座、拱肋的形状及设置位置,力学性质数据通过安装于拱座、拱肋节段及拱肋节段连接处的应力应变传感器获取,所需传感器类型、数量相对较少,不会影响拱桥正常施工过程。The physical form characteristic data of the present invention comprises the shape and the setting position of abutment, arch rib, and mechanical property data is obtained by being installed in the stress-strain sensor of abutment, arch rib section and arch rib section junction, required sensor type, The number is relatively small and will not affect the normal construction process of the arch bridge.
构成本发明的一部分的说明书附图用来提供对本发明的进一步理解,本发明的示意性实施例及其说明用于解释本发明,并不构成对本发明的不当限定。The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention, and the schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations to the present invention.
图1是本发明根据一个或多个实施方式的流程图。Figure 1 is a flowchart of the present invention according to one or more embodiments.
实施例一:Embodiment one:
本实施例提供了一种基于数字孪生的钢管混凝土拱桥施工监控方法,包括:This embodiment provides a method for monitoring the construction of a concrete-filled steel tube arch bridge based on digital twins, including:
获取拱桥物理形态特征数据和力学性质数据,并进行预处理,建立实体模型数据库,以设计资料对应数值为标准值,赋予所有数据相应的定义和合理范围,剔除异常数据;然后对数据进行归纳,将获取的大量数据进行简化,减少数据总量获取更真实反应拱桥形状及受力等性质的结果;Obtain the physical form characteristic data and mechanical property data of the arch bridge, and perform preprocessing, establish a solid model database, use the corresponding value of the design data as the standard value, give all data the corresponding definition and reasonable range, and eliminate abnormal data; then summarize the data, Simplify the large amount of data obtained, reduce the total amount of data to obtain more realistic results reflecting the shape and force of the arch bridge;
构建虚拟数字孪生模型,确定拱桥各构件预警阈值;Construct a virtual digital twin model to determine the early warning threshold of each component of the arch bridge;
将预处理后的物理形态特征数据和力学性质数据输入虚拟数字孪生模型,建立随施工时间变化的拱桥实体数字孪生模型;Input the preprocessed physical form feature data and mechanical property data into the virtual digital twin model to establish a digital twin model of the arch bridge entity that changes with the construction time;
将拱桥实体数字孪生模型的数据与预警阈值对比,以监控拱桥施工过程。The data of the arch bridge entity digital twin model is compared with the early warning threshold to monitor the construction process of the arch bridge.
具体的,如图1所示,包括以下步骤:Specifically, as shown in Figure 1, the following steps are included:
步骤一:施工前预先在施工场地设置激光雷达、三维扫描装置、监控系统,在构件内设置应力应变传感器,激光雷达及三维扫描装置用于获取拱桥物理形状特征数据,监控系统获取现场图像资料,应力应变传感器获取施工过程中构件的力学性质数据。Step 1: Before construction, set laser radar, 3D scanning device, and monitoring system on the construction site in advance, and install stress and strain sensors in the components. The laser radar and 3D scanning device are used to obtain the characteristic data of the physical shape of the arch bridge, and the monitoring system obtains on-site image data. Stress and strain sensors acquire mechanical property data of components during construction.
其中,应力应变传感器安装于拱座、拱肋节段及拱肋节段连接处。Wherein, the stress and strain sensors are installed on the abutment, the arch rib segment and the joint of the arch rib segment.
步骤二:将拱桥结构设计资料及施工组织设计资料导入虚拟空间,建立施工各阶段虚拟数字孪生模型,建立坐标,确立拱座及每一预制拱肋节段的位置,导入每一施工步骤结束后的拱肋及拱座的几何力学性质数据,并根据规范等要求设置预警阈值。Step 2: Import the arch bridge structural design data and construction organization design data into the virtual space, establish virtual digital twin models of each stage of construction, establish coordinates, establish the position of the abutment and each prefabricated arch rib segment, and import them after each construction step The geometric and mechanical property data of the arch rib and abutment, and set the early warning threshold according to the requirements of the code.
虚拟数字孪生模型构建过程为:利用三维模型构建虚拟数字孪生模型,插入拱座形状及设置位置,将每一预制拱肋节段编号。在几何空间方面,确定拱座及 每一节段空间坐标位置,保证拱圈合龙后形状无误;在力学性质方面,计算每一节段安装后拱圈及支座的受力情况,包括自重、位移、应力、支座沉降等,根据设计受力情况及规范等要求设置每一物理性质的预警阈值。The construction process of the virtual digital twin model is as follows: use the three-dimensional model to construct the virtual digital twin model, insert the abutment shape and setting position, and number each prefabricated arch rib segment. In terms of geometric space, determine the spatial coordinate position of the arch base and each segment to ensure that the shape of the arch ring is correct after closing; in terms of mechanical properties, calculate the force of the arch ring and support after each segment is installed, including self-weight, Displacement, stress, support settlement, etc., set the early warning threshold for each physical property according to the design stress situation and specification requirements.
步骤三:将施工过程中激光雷达、三维扫描装置、监控系统及在构件内设置应力应变传感器采集到的实体几何及力学性质等数据进行预处理,剔除异常数据。Step 3: Preprocess the solid geometry and mechanical properties and other data collected by laser radar, 3D scanning device, monitoring system, and stress and strain sensors installed in the components during the construction process, and eliminate abnormal data.
步骤四:将预处理后的数据导入虚拟空间,建立随施工推进不断变化的拱桥实体数字孪生模型。施工过程实体数字孪生模型利用来源于现场安装的激光雷达、监控系统、三维扫描装置、安装在拱座、节段及节段连接处的应力应变传感器等数据,能够获取包括从开始施工到每一节段安装后的几何模型、物理力学特征。建立三维立体模型将上述数据导入其中,同时将现场施工人员配置、物料使用等变动情况实时汇入模型中。Step 4: Import the preprocessed data into the virtual space, and establish a physical digital twin model of the arch bridge that changes continuously with the progress of construction. The physical digital twin model of the construction process uses the data from the laser radar installed on site, the monitoring system, the three-dimensional scanning device, the stress and strain sensors installed on the abutment, the segment and the segment connection, etc. The geometric model and physical and mechanical characteristics of the segment after installation. Create a three-dimensional model to import the above data into it, and at the same time import changes in the configuration of on-site construction personnel and material usage into the model in real time.
步骤五:将实体数字孪生模型与虚拟数字孪生模型的数据进行对接,在施工过程中对比检查实体受力情况、节段对接情况、施工现场调度情况等,保证施工安全顺利进行。Step 5: Connect the data of the physical digital twin model and the virtual digital twin model, and compare and check the physical stress, segment connection, construction site scheduling, etc. during the construction process to ensure safe and smooth construction.
当某一拱肋节段(钢管混凝土节段)安装后,实体数字孪生模型中的数据超出虚拟数字孪生模型的预警阈值,系统内发出预警,施工现场实体需检查节段安装是否正确,必要时重新安装,直至拱圈合龙完成。When a certain arch rib segment (concrete-filled steel tube segment) is installed, the data in the physical digital twin model exceeds the early warning threshold of the virtual digital twin model, and an early warning is issued in the system, and the entity on the construction site needs to check whether the segment is installed correctly. Reinstall until the arch ring closure is complete.
在本实施例中,实体数字孪生模型数据来源于激光雷达、监控系统、三维扫描装置、应力应变传感器,能够获取包括从开始施工到每一节段安装后的几何模型、物理力学特征。In this embodiment, the data of the physical digital twin model comes from laser radar, monitoring system, three-dimensional scanning device, and stress and strain sensors, and can obtain geometric models and physical and mechanical characteristics from the beginning of construction to the installation of each segment.
实体数字孪生模型还可以包括施工进度设计、施工现场分区设计、器械物料 使用、人员支配等施工组织设计资料,由此器械物料使用及人员可根据施工进程对现场进行智能化调配。The physical digital twin model can also include construction schedule design, construction site zoning design, equipment material use, personnel allocation and other construction organization design data, so that equipment material use and personnel can be intelligently allocated to the site according to the construction process.
本实施例通过建立与设计资料相对应的现场装配式施工实体数字孪生模型,实现对施工过程的智能监控及控制,确保每一构件的安装按照设计顺利进行,保证施工质量,预防事故发生,提高施工效率。This embodiment realizes the intelligent monitoring and control of the construction process by establishing the digital twin model of the on-site assembly type construction entity corresponding to the design data, ensuring that the installation of each component is carried out smoothly according to the design, ensuring the construction quality, preventing accidents, and improving construction efficiency.
实施例二:Embodiment two:
本实施例提供了一种基于数字孪生的钢管混凝土拱桥施工监控系统,包括:This embodiment provides a digital twin-based concrete-filled steel tube arch bridge construction monitoring system, including:
数据预处理模块,用于获取拱桥物理形态特征数据和力学性质数据,并进行预处理,剔除异常数据;The data preprocessing module is used to obtain the physical shape characteristic data and mechanical property data of the arch bridge, and perform preprocessing to eliminate abnormal data;
虚拟数字孪生模型构建模块,用于构建虚拟数字孪生模型,确定拱桥各构件预警阈值;The virtual digital twin model building block is used to build a virtual digital twin model and determine the early warning threshold of each component of the arch bridge;
拱桥实体数字孪生模型建立模块,用于将预处理后的物理形态特征数据和力学性质数据输入虚拟数字孪生模型,建立随施工时间变化的拱桥实体数字孪生模型;The arch bridge entity digital twin model building module is used to input the preprocessed physical form feature data and mechanical property data into the virtual digital twin model, and establish the arch bridge entity digital twin model that changes with the construction time;
数据对比模块,用于将拱桥实体数字孪生模型的数据与预警阈值对比,以监控拱桥施工过程。The data comparison module is used to compare the data of the arch bridge entity digital twin model with the early warning threshold to monitor the construction process of the arch bridge.
物理形态特征数据通过激光雷达和三维扫描装置获取,力学性质数据通过应力应变传感器获取。其中,应力应变传感器安装于拱座、拱肋节段及拱肋节段连接处。Physical morphological feature data is obtained by laser radar and three-dimensional scanning device, and mechanical property data is obtained by stress and strain sensors. Wherein, the stress and strain sensors are installed on the abutment, the arch rib segment and the joint of the arch rib segment.
以上所述仅为本申请的优选实施例而已,并不用于限制本申请,对于本领域的技术人员来说,本申请可以有各种更改和变化。凡在本申请的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本申请的保护范围之内。The above descriptions are only preferred embodiments of the present application, and are not intended to limit the present application. For those skilled in the art, there may be various modifications and changes in the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included within the protection scope of this application.
Claims (10)
- 一种基于数字孪生的钢管混凝土拱桥施工监控方法,其特征在于,包括:A digital twin-based construction monitoring method for concrete-filled steel tube arch bridges, characterized in that it includes:获取拱桥物理形态特征数据和力学性质数据,并进行预处理,剔除异常数据;Obtain the physical form characteristic data and mechanical property data of the arch bridge, and perform preprocessing to eliminate abnormal data;构建虚拟数字孪生模型,确定拱桥各构件预警阈值;Construct a virtual digital twin model to determine the early warning threshold of each component of the arch bridge;将预处理后的物理形态特征数据和力学性质数据输入虚拟数字孪生模型,建立随施工时间变化的拱桥实体数字孪生模型;Input the preprocessed physical form feature data and mechanical property data into the virtual digital twin model to establish a digital twin model of the arch bridge entity that changes with the construction time;将拱桥实体数字孪生模型的数据与预警阈值对比,以监控拱桥施工过程。The data of the arch bridge entity digital twin model is compared with the early warning threshold to monitor the construction process of the arch bridge.
- 根据权利要求1所述的一种基于数字孪生的钢管混凝土拱桥施工监控方法,其特征在于,在虚拟数字孪生模型中建立坐标,确定拱座及每一拱肋节段的位置,导入每一施工步骤结束后的拱肋及拱座的力学性质数据。A construction monitoring method for concrete-filled steel pipe arch bridges based on digital twins according to claim 1, characterized in that coordinates are established in the virtual digital twin model to determine the position of the abutment and each arch rib segment, and import each construction The mechanical property data of the arch rib and the abutment after the step is completed.
- 根据权利要求1或2任一所述的一种基于数字孪生的钢管混凝土拱桥施工监控方法,其特征在于,所述物理形态特征数据包括拱座、拱肋的形状及设置位置。A digital twin-based concrete-filled steel pipe arch bridge construction monitoring method according to any one of claims 1 or 2, characterized in that the physical form characteristic data includes the shape and setting position of the abutment and arch rib.
- 根据权利要求1所述的一种基于数字孪生的钢管混凝土拱桥施工监控方法,其特征在于,计算每一拱肋节段安装后拱圈及支座的受力情况,根据设计受力情况及对应规范设置每一参数的预警预制。According to claim 1, a digital twin-based concrete-filled steel pipe arch bridge construction monitoring method is characterized in that, calculating the force of the arch ring and the support after the installation of each arch rib segment, according to the design force and the corresponding Prefabrication of prefabrication for specification setting of each parameter.
- 根据权利要求1或4所述的一种基于数字孪生的钢管混凝土拱桥施工监控方法,其特征在于,拱桥实体数字孪生模型中的数据超出虚拟数字孪生模型的预警阈值时,系统发出预警。A digital twin-based concrete-filled steel pipe arch bridge construction monitoring method according to claim 1 or 4, characterized in that when the data in the arch bridge entity digital twin model exceeds the early warning threshold of the virtual digital twin model, the system issues an early warning.
- 根据权利要求1所述的一种基于数字孪生的钢管混凝土拱桥施工监控方法,其特征在于,所述物理形态特征数据通过激光雷达和三维扫描装置获取,力学性质数据通过应力应变传感器获取。The construction monitoring method of a concrete-filled steel tube arch bridge based on digital twins according to claim 1, wherein the physical shape characteristic data is obtained by a laser radar and a three-dimensional scanning device, and the mechanical property data is obtained by a stress-strain sensor.
- 根据权利要求6所述的一种基于数字孪生的钢管混凝土拱桥施工监控方 法,其特征在于,所述应力应变传感器安装于拱座、拱肋节段及拱肋节段连接处。A kind of construction monitoring method of concrete-filled steel pipe arch bridge based on digital twin according to claim 6, is characterized in that, described stress strain sensor is installed in abutment, arch rib segment and arch rib segment connection.
- 一种基于数字孪生的钢管混凝土拱桥施工监控系统,其特征在于,包括:A digital twin-based concrete-filled steel pipe arch bridge construction monitoring system is characterized in that it includes:数据预处理模块,用于获取拱桥物理形态特征数据和力学性质数据,并进行预处理,剔除异常数据;The data preprocessing module is used to obtain the physical shape characteristic data and mechanical property data of the arch bridge, and perform preprocessing to eliminate abnormal data;虚拟数字孪生模型构建模块,用于构建虚拟数字孪生模型,确定拱桥各构件预警阈值;The virtual digital twin model building block is used to build a virtual digital twin model and determine the early warning threshold of each component of the arch bridge;拱桥实体数字孪生模型建立模块,用于将预处理后的物理形态特征数据和力学性质数据输入虚拟数字孪生模型,建立随施工时间变化的拱桥实体数字孪生模型;The arch bridge entity digital twin model building module is used to input the preprocessed physical form feature data and mechanical property data into the virtual digital twin model, and establish the arch bridge entity digital twin model that changes with the construction time;数据对比模块,用于将拱桥实体数字孪生模型的数据与预警阈值对比,以监控拱桥施工过程。The data comparison module is used to compare the data of the arch bridge entity digital twin model with the early warning threshold to monitor the construction process of the arch bridge.
- 根据权利要求8所述的一种基于数字孪生的钢管混凝土拱桥施工监控系统,其特征在于,所述物理形态特征数据通过激光雷达和三维扫描装置获取,力学性质数据通过应力应变传感器获取。The digital twin-based concrete-filled steel pipe arch bridge construction monitoring system according to claim 8, wherein the physical feature data is obtained by a laser radar and a three-dimensional scanning device, and the mechanical property data is obtained by a stress-strain sensor.
- 根据权利要求9所述的一种基于数字孪生的钢管混凝土拱桥施工监控系统,其特征在于,所述应力应变传感器安装于拱座、拱肋节段及拱肋节段连接处。The digital twin-based concrete-filled steel pipe arch bridge construction monitoring system according to claim 9, wherein the stress-strain sensor is installed at the abutment, the arch rib segment and the joint of the arch rib segment.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210181636.5A CN114510768A (en) | 2022-02-25 | 2022-02-25 | Steel pipe concrete arch bridge construction monitoring method and system based on digital twinning |
CN202210181636.5 | 2022-02-25 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2023159810A1 true WO2023159810A1 (en) | 2023-08-31 |
Family
ID=81552861
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2022/098706 WO2023159810A1 (en) | 2022-02-25 | 2022-06-14 | Digital twinning-based construction monitoring method and system for concrete-filled steel tube arch bridges |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN114510768A (en) |
WO (1) | WO2023159810A1 (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117236892A (en) * | 2023-09-27 | 2023-12-15 | 广西路建工程集团有限公司 | Digital twin-based bridge steel web water transportation hoisting system and control method |
CN117273440A (en) * | 2023-09-01 | 2023-12-22 | 西华大学 | Engineering construction Internet of things monitoring and managing system and method based on deep learning |
CN117648596A (en) * | 2023-11-28 | 2024-03-05 | 河北建工集团有限责任公司 | Digital twin and intelligent sensor fusion method and system for building construction |
CN117953650A (en) * | 2024-01-29 | 2024-04-30 | 江苏顺骁工程科技有限公司 | Dam safety analysis early warning system and method based on digital twinning |
CN117974072A (en) * | 2024-03-29 | 2024-05-03 | 南京峟思工程仪器有限公司 | Processing method and system for vibrating wire type spot welding strain gauge |
CN118278811A (en) * | 2024-04-02 | 2024-07-02 | 江苏海洋大学 | Digital twin technology-based wharf health intelligent monitoring method and evaluation system |
CN118410633A (en) * | 2024-04-29 | 2024-07-30 | 南京昊天路桥工程有限公司 | Cloud-edge cooperative asphalt pavement intelligent construction method |
CN118427907A (en) * | 2024-07-05 | 2024-08-02 | 深圳市烨兴智能空间技术有限公司 | Digital twinning-based multi-curved-surface special-shaped film structure installation method and device |
CN118583346A (en) * | 2024-08-05 | 2024-09-03 | 中铁七局集团西安铁路工程有限公司 | Large-span steel trestle stress real-time monitoring system |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114510768A (en) * | 2022-02-25 | 2022-05-17 | 山东大学 | Steel pipe concrete arch bridge construction monitoring method and system based on digital twinning |
CN116090076B (en) * | 2023-03-07 | 2023-07-04 | 四川省公路规划勘察设计研究院有限公司 | Gabion abutment building system under complex environment and rapid building method thereof |
CN116433092B (en) * | 2023-04-12 | 2023-10-27 | 西安理工大学 | Hydraulic engineering construction quality intelligent analysis system based on big data analysis |
CN117648746A (en) * | 2023-12-11 | 2024-03-05 | 中铁一局集团有限公司 | Digital twinning-based tunnel construction concrete super-consumption data statistics method and system |
CN117629549B (en) * | 2024-01-26 | 2024-04-09 | 辛集中交建设有限公司 | Bridge building health monitoring and safety early warning system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180202892A1 (en) * | 2017-01-13 | 2018-07-19 | Fedem Technology As | Real-time damage determination of an asset |
CN112726432A (en) * | 2020-12-29 | 2021-04-30 | 安徽建筑大学 | Bridge operation and maintenance method, device, system, computer equipment and storage medium |
CN113445434A (en) * | 2021-08-17 | 2021-09-28 | 中国港湾工程有限责任公司 | Steel plate hinged type sectional prefabricated assembled arch bridge and intelligent construction control method |
WO2021222384A1 (en) * | 2020-04-28 | 2021-11-04 | Strong Force Intellectual Capital, Llc | Digital twin systems and methods for transportation systems |
CN113806978A (en) * | 2021-08-31 | 2021-12-17 | 华南理工大学 | Bridge structure digital twin body and method based on BIM-FEM |
CN114002332A (en) * | 2021-09-29 | 2022-02-01 | 西安交通大学 | Structural damage monitoring and early warning method and structural integrity digital twinning system |
CN114510768A (en) * | 2022-02-25 | 2022-05-17 | 山东大学 | Steel pipe concrete arch bridge construction monitoring method and system based on digital twinning |
-
2022
- 2022-02-25 CN CN202210181636.5A patent/CN114510768A/en active Pending
- 2022-06-14 WO PCT/CN2022/098706 patent/WO2023159810A1/en unknown
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180202892A1 (en) * | 2017-01-13 | 2018-07-19 | Fedem Technology As | Real-time damage determination of an asset |
WO2021222384A1 (en) * | 2020-04-28 | 2021-11-04 | Strong Force Intellectual Capital, Llc | Digital twin systems and methods for transportation systems |
CN112726432A (en) * | 2020-12-29 | 2021-04-30 | 安徽建筑大学 | Bridge operation and maintenance method, device, system, computer equipment and storage medium |
CN113445434A (en) * | 2021-08-17 | 2021-09-28 | 中国港湾工程有限责任公司 | Steel plate hinged type sectional prefabricated assembled arch bridge and intelligent construction control method |
CN113806978A (en) * | 2021-08-31 | 2021-12-17 | 华南理工大学 | Bridge structure digital twin body and method based on BIM-FEM |
CN114002332A (en) * | 2021-09-29 | 2022-02-01 | 西安交通大学 | Structural damage monitoring and early warning method and structural integrity digital twinning system |
CN114510768A (en) * | 2022-02-25 | 2022-05-17 | 山东大学 | Steel pipe concrete arch bridge construction monitoring method and system based on digital twinning |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117273440A (en) * | 2023-09-01 | 2023-12-22 | 西华大学 | Engineering construction Internet of things monitoring and managing system and method based on deep learning |
CN117236892A (en) * | 2023-09-27 | 2023-12-15 | 广西路建工程集团有限公司 | Digital twin-based bridge steel web water transportation hoisting system and control method |
CN117236892B (en) * | 2023-09-27 | 2024-09-13 | 广西路建工程集团有限公司 | Digital twin-based bridge steel web water transportation hoisting system and control method |
CN117648596A (en) * | 2023-11-28 | 2024-03-05 | 河北建工集团有限责任公司 | Digital twin and intelligent sensor fusion method and system for building construction |
CN117648596B (en) * | 2023-11-28 | 2024-04-30 | 河北建工集团有限责任公司 | Digital twin and intelligent sensor fusion method and system for building construction |
CN117953650A (en) * | 2024-01-29 | 2024-04-30 | 江苏顺骁工程科技有限公司 | Dam safety analysis early warning system and method based on digital twinning |
CN117974072A (en) * | 2024-03-29 | 2024-05-03 | 南京峟思工程仪器有限公司 | Processing method and system for vibrating wire type spot welding strain gauge |
CN117974072B (en) * | 2024-03-29 | 2024-06-04 | 南京峟思工程仪器有限公司 | Processing method and system for vibrating wire type spot welding strain gauge |
CN118278811A (en) * | 2024-04-02 | 2024-07-02 | 江苏海洋大学 | Digital twin technology-based wharf health intelligent monitoring method and evaluation system |
CN118410633A (en) * | 2024-04-29 | 2024-07-30 | 南京昊天路桥工程有限公司 | Cloud-edge cooperative asphalt pavement intelligent construction method |
CN118427907A (en) * | 2024-07-05 | 2024-08-02 | 深圳市烨兴智能空间技术有限公司 | Digital twinning-based multi-curved-surface special-shaped film structure installation method and device |
CN118583346A (en) * | 2024-08-05 | 2024-09-03 | 中铁七局集团西安铁路工程有限公司 | Large-span steel trestle stress real-time monitoring system |
Also Published As
Publication number | Publication date |
---|---|
CN114510768A (en) | 2022-05-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2023159810A1 (en) | Digital twinning-based construction monitoring method and system for concrete-filled steel tube arch bridges | |
CN111627099B (en) | Steel structure non-contact actual measurement real quantity method and system based on three-dimensional scanning technology | |
CN105696467B (en) | A kind of formwork frame construction method based on P-BIM technologies | |
CN111811420B (en) | Tunnel three-dimensional contour integral absolute deformation monitoring method and system | |
CN106886659A (en) | The virtual pre-splicing and detection method of steel structure bridge based on 3 D laser scanning and cloud platform | |
CN108827255B (en) | Cable saddle measuring method of steel-concrete combined structure cable tower based on BIM | |
CN109300126A (en) | A kind of bridge defect high-precision intelligent detection method based on spatial position | |
CN108824816B (en) | High-altitude long-span net frame sliding, positioning, installing and monitoring method | |
CN109866876A (en) | Based on the twin boat segmental construction precision control method of number | |
CN107843230A (en) | High and big die plate fastener type support frame deformation monitoring method and system based on BIM | |
CN111472486B (en) | Steel construction and curtain intelligent monitoring maintenance system based on BIM | |
CN110110490B (en) | Curtain wall dynamic installation monitoring and collision detection method based on BIM model | |
Lin et al. | Automating closed-loop structural safety management for bridge construction through multisource data integration | |
CN101782946A (en) | Progressive type method for identifying loose supporting ropes based on space coordinate monitoring during support settlement | |
CN114357591B (en) | Building construction quality tracking analysis management system based on BIM technology | |
CN114444180A (en) | Full life cycle parameter prediction and monitoring method and system for assembly type building structure | |
CN108756292A (en) | A kind of building synchronization of jacking up control method and system based on technology of Internet of things | |
CN115307676A (en) | Remote online real-time safety monitoring method for bridge support | |
CN112464494A (en) | Construction system is built to wisdom | |
CN117010068A (en) | Tunnel visual management and control construction process based on three-dimensional laser scanning point cloud | |
CN117807659A (en) | Building structure defect detection and correction method and system | |
CN117610375A (en) | Bridge suspension casting construction digital twin method, device and equipment based on machine vision | |
CN208903300U (en) | A kind of construction risk automatic monitoring system based on BIM technology | |
CN106403858B (en) | A kind of superaltitude large cantilever steel platform tip deflection monitoring method | |
CN111274637B (en) | BIM technology-based four-dimensional bridge information management system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 22928081 Country of ref document: EP Kind code of ref document: A1 |