CN117575847A - Intelligent box girder construction method - Google Patents
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Abstract
The invention provides an intelligent box girder construction method, which belongs to the field of box girders and comprises the following steps of S1, project planning and design; s2, data acquisition and monitoring; s3, automatic machine and robot construction, S4, virtual model creation and construction simulation; s5, intelligent control and management, wherein an artificial intelligence and machine learning algorithm is utilized to automate a decision process, including optimizing construction progress, resource allocation, risk management and prediction maintenance, engineers and management staff monitor construction progress in real time through a remote monitoring system, adjust according to requirements, and ensure construction safety and quality; s6, quality control and acceptance inspection. The invention can improve the efficiency and quality of the box girder construction and reduce the construction cost.
Description
Technical Field
The invention relates to the technical field of box girders, in particular to an intelligent box girder construction method.
Background
The box girders are generally used for constructing bridges and other large-scale infrastructure projects, and according to specific engineering requirements, the design of the box girders generally considers factors such as load, span, geological conditions, environmental factors and the like, and the box girders need to perform concrete pouring, steel bar installation, quality control and the like in the construction process so as to ensure the strength and stability of the structure of the box girders;
most of the existing box girders are also constructed in a traditional manner, which often requires a great deal of manual labor force including template manufacture, concrete pouring, steel bar installation and the like, and also depends on a series of manual procedures such as template manufacture and layer-by-layer pouring of concrete, the construction time is longer, the manual operation is easily affected by errors and changes, the quality and the precision of the box girders can be caused, and meanwhile, the traditional construction manner can involve dangerous working environments such as high-altitude operation and heavy equipment operation, so that potential safety risks exist;
in order to improve the efficiency, quality and safety of box girder construction, reduce errors and delays in construction and reduce cost, the intelligent box girder construction method is provided.
Disclosure of Invention
The invention aims to provide an intelligent box girder construction method which can improve the efficiency and quality of box girder construction and reduce the construction cost.
The embodiment of the invention is realized by the following technical scheme: an intelligent box girder construction method comprises the following steps:
s1, project planning and design, which specifically comprises the following steps:
project planning: before construction is started, project evaluation is carried out, and requirements and targets for constructing the box girder are determined, wherein the requirements and targets comprise specifications of cross section, length, bearing capacity and the like;
designing a box girder: the method comprises the steps of formulating a detailed design of the box girder, including a structure, materials and a construction method;
s2, data acquisition and monitoring, wherein the method specifically comprises the following steps:
and (2) sensor installation: installing sensors at the construction site for monitoring environmental factors (such as temperature, humidity, wind speed) and changes in the box girder itself (such as displacement, stress);
data acquisition and detection: continuously collecting data through a sensor and transmitting the data to a data analysis system so as to monitor the construction process in real time;
s3, automatic machine and robot construction, which specifically comprises the following steps:
automated machine and robot: automated machines and robots are introduced to perform construction tasks such as concrete placement, rebar installation, and formwork making, which machines are controlled simultaneously by predetermined computer programs and algorithms to ensure high precision and efficiency;
s4, virtual model creation and construction simulation, which concretely comprises the following steps:
creating a virtual model: creating a virtual model of the box girder using computer software, including detailed geometric and structural features;
and (3) construction simulation: performing construction simulation in the virtual model, and optimizing a construction plan, resource allocation and a construction process;
s5, intelligent control and management, which specifically comprises the following steps:
and (3) intelligent control: utilizing artificial intelligence and machine learning algorithms to automate decision processes including optimizing construction progress, resource allocation, risk management, and predictive maintenance;
and (3) management: remote monitoring and adjustment, engineers and management personnel monitor construction progress in real time through a remote monitoring system, adjust according to requirements, and ensure the safety and quality of construction;
s6, quality control and acceptance, which specifically comprises the following steps:
and (3) quality control: quality inspection using intelligent techniques, including detection of defects and deviations using laser scanning and image recognition;
and (5) acceptance checking: and after the box girder is built, checking and accepting are carried out, so that the box girder meets the design requirements and safety standards.
Further, in any one of the steps 1-6, the data and functions of the intelligent technology can be combined with cloud computing and internet of things (IoT), and the cloud storage space and the database such as cloud and ali cloud are combined through high-speed transmission of 5G data, and terminal imaging such as mobile phone video and television is assisted, so that data storage, sharing and remote access are realized.
Further, the automated machine and robot construction of step S3 further includes: concrete pump and spraying robot, steel bar processing robot, automatic steel template making machine, cantilever robot, automatic inspection robot, automatic measuring equipment, unmanned aerial vehicle, conveyer belt and automatic crane, vibrating table and vibrating equipment;
the concrete pump and the spraying robot are used for conveying the concrete to a required position through a pipeline, and pouring of the concrete is automatically completed;
the steel bar machining robot is used for cutting, bending and installing steel bars according to design specifications;
the automatic steel template manufacturing machine is used for automatically cutting and assembling the box girder templates according to design requirements;
the cantilever robot is used for hanging on a box girder and completing concrete spraying and steel bar installation;
the automatic inspection robot is used for detecting defects and deviations through a laser scanning or vision system so as to inspect the quality of the surface of the box girder;
the automatic measuring equipment comprises measuring equipment such as a laser range finder, a total station, a GPS and the like and is used for measuring the position, the size and the flatness of the box girder so as to ensure that the box girder meets the design requirements;
the unmanned aerial vehicle is used for investigation, monitoring and inspection of a construction site and providing high-resolution aerial images and videos for project management and quality control;
the conveying belt and the automatic crane are respectively used for automatically conveying materials and equipment to a construction site and assisting in safe transportation during high-altitude construction of the box girder;
the vibrating table and the vibrating equipment are used for vibrating after concrete pouring so as to remove air bubbles and improve the compactness of concrete.
Further, in the intelligent control of step S5:
the optimizing construction progress comprises the steps of predicting construction time and dynamically adjusting progress:
wherein predicting the construction time includes using the historical data and the current construction progress to predict the completion time of the box girder construction, and dynamically adjusting the progress includes using the AI system to automatically adjust the construction progress plan according to the real-time data and conditions to cope with an emergency or an insufficient resource condition;
the resource allocation includes material and labor management, equipment scheduling:
wherein material and labor management includes optimizing distribution of material and labor using AI algorithms, ensuring adequate resource supply at the appropriate time and place, and equipment scheduling includes helping optimize use of equipment using an automated decision system;
the risk management includes risk identification and risk assessment:
wherein risk identification includes analyzing historical data and real-time data using a machine learning model to identify possible risk factors such as unstable weather, supply chain problems, or construction errors, and risk assessment is to automatically assess the severity of risk using an AI system based on the risk identification results and provide advice to assist a project management team in making decisions;
the predictive maintenance includes equipment maintenance and box girder maintenance:
wherein equipment maintenance includes predicting maintenance requirements of the equipment according to data of equipment sensors by using an AI algorithm to reduce unnecessary downtime, and box girder maintenance includes predicting maintenance requirements based on historical data and use conditions of the box girders by using a machine learning model to ensure long-term reliability thereof.
Further, the management in step S5 further includes: virtual Reality (VR) and Augmented Reality (AR) technologies are utilized to provide construction training, visual simulation, and real-time guidance, AR equipment is used at a construction site to display real-time information and instructions about the box girder.
The technical scheme of the embodiment of the invention has at least the following advantages and beneficial effects:
1. the invention simplifies the construction flow by combining data science, automation technology and artificial intelligence to realize efficient, accurate and safe construction process, and the method not only improves the competitiveness of engineering projects, but also helps to reduce cost and environmental impact, and is reasonably combined into the construction of the box girder by integrating the intelligent technology and the automation system, thereby effectively improving the efficiency, quality and safety of the final box girder construction.
2. According to the intelligent box girder construction method, the data and the functions of the intelligent technology are combined with cloud computing and internet of things (IoT), and meanwhile, the intelligent technology is combined with a traditional box girder construction process, so that efficiency is improved, cost is reduced, quality is improved, construction safety is ensured, real-time monitoring and response problems are facilitated by the integration of the intelligent technology, and therefore requirements of projects are met better.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of the intelligent box girder construction method provided by the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
The invention further provides a box girder intelligent building construction method, which is described with reference to fig. 1 by combining a specific embodiment, and comprises the following steps of S1, project planning and design, wherein the project planning and design specifically comprise:
project planning: before construction is started, project evaluation is carried out, and requirements and targets for constructing the box girder are determined, wherein the requirements and targets comprise specifications of cross section, length, bearing capacity and the like;
designing a box girder: the method comprises the steps of formulating a detailed design of the box girder, including a structure, materials and a construction method;
in the design of the box girder, an intelligent technology integration mode can be adopted, the intelligent technology integration mode comprises the use of bridge master (BridgeMaster) design, the full-bridge-oriented correlation design is based on a database, the full-bridge-oriented batch and automatic design is realized, the full-bridge-oriented batch and automatic design is connected with complete interfaces of various route software, the core of convenient and flexible data material management BridgeMasterBoxGirder is to establish a box girder information model by using a bridge information model technology and engineering objects (such as webs, cantilevers and the like) as design units, and the model contains complete engineering information of the design objects, so that the digitization of the box girder in a computer is realized;
the scheme design and the change are conveniently and rapidly completed through the interaction means of engineering object trees and attribute lists, namely changing to now and size driving, and the automatic generation of construction drawings, so that geometric structure design, reinforcement design, steel beam design and automatic drawing according to multiple modes such as connection, span and construction stages of the equal-width, wide, variable-chamber, variable-height continuous box girder and forked box girder are supported, the geometric structure model and the steel beam model can be directly output to RMbridge and MIDAS for structural analysis calculation, and a bridge master (BridgMaster) can be used for efficiently and visually designing the structure and selected materials of the box girder, and meanwhile, stress calculation can be performed, so that the design defect of the box girder is avoided, the use of the box girder is ensured, and the box girder design can be completed rapidly and efficiently.
S2, data acquisition and monitoring, wherein the method specifically comprises the following steps:
and (2) sensor installation: installing sensors at the construction site for monitoring environmental factors (such as temperature, humidity, wind speed) and changes in the box girder itself (such as displacement, stress);
data acquisition and detection: continuously collecting data through a sensor and transmitting the data to a data analysis system so as to monitor the construction process in real time;
through sensor installation, data acquisition and detection to better promotion case roof beam's construction accuracy, specific sensor mounting means can be according to the requirement of sensor and the design requirement of case roof beam, and no longer description is repeated.
S3, automatic machine and robot construction, which specifically comprises the following steps:
automated machine and robot: automated machines and robots are introduced to perform construction tasks such as concrete placement, rebar installation, and formwork making, which machines are controlled simultaneously by predetermined computer programs and algorithms to ensure high precision and efficiency;
s4, virtual model creation and construction simulation, which concretely comprises the following steps:
creating a virtual model: creating a virtual model of the box girder using computer software, including detailed geometric and structural features;
and (3) construction simulation: performing construction simulation in the virtual model, and optimizing a construction plan, resource allocation and a construction process; the virtual model creation and construction simulation comprises the steps of creating a virtual model of the box girder by utilizing Computer Aided Design (CAD) and Computer Aided Manufacturing (CAM) software, and performing construction simulation in the virtual model so as to optimize construction plan and resource allocation, thereby improving construction efficiency and ensuring construction quality.
S5, intelligent control and management, which specifically comprises the following steps:
and (3) intelligent control: utilizing artificial intelligence and machine learning algorithms to automate decision processes including optimizing construction progress, resource allocation, risk management, and predictive maintenance;
and (3) management: remote monitoring and adjustment, engineers and management personnel monitor construction progress in real time through a remote monitoring system, adjust according to requirements, and ensure the safety and quality of construction;
s6, quality control and acceptance, which specifically comprises the following steps:
and (3) quality control: quality inspection using intelligent techniques, including detection of defects and deviations using laser scanning and image recognition;
and (5) acceptance checking: and after the box girder is built, checking and accepting are carried out, so that the box girder meets the design requirements and safety standards.
In any one of the steps 1-6, the data and functions of the intelligent technology can be combined with cloud computing and internet of things (IoT), cloud storage space and databases such as cloud, ali cloud and the like are combined through high-speed transmission of 5G data, terminal imaging such as mobile phone video and television is assisted to achieve data storage, sharing and remote access, cloud computing, cloud storage, cloud network, cloud security, cloud databases and cloud management services are provided for the cloud, ali cloud and the like through the existing cloud, so that the problem in manufacturing of the box girder can be solved more efficiently, and cloud services such as Tengxun cloud, *** cloud, beijing east cloud, shengma cloud and ucloud can be selected to better adapt to the demands of companies.
The automated machine and robot construction of step S3 further includes: concrete pump and spraying robot, steel bar processing robot, automatic steel template making machine, cantilever robot, automatic inspection robot, automatic measuring equipment, unmanned aerial vehicle, conveyer belt and automatic crane, vibrating table and vibrating equipment;
the concrete pump and the spraying robot are used for conveying the concrete to a required position through a pipeline, and the pouring work of the concrete is automatically completed;
the steel bar machining robot is used for cutting, bending and installing steel bars according to the design specification;
the automatic steel template manufacturing machine is used for automatically cutting and assembling the box girder templates according to design requirements;
the cantilever robot is used for hanging on the box girder and completing concrete spraying and steel bar installation;
the automatic inspection robot is used for detecting defects and deviations through a laser scanning or vision system so as to inspect the quality of the surface of the box girder;
the automatic measuring equipment comprises measuring equipment such as a laser range finder, a total station, a GPS and the like and is used for measuring the position, the size and the flatness of the box girder so as to ensure that the box girder meets the design requirements;
the unmanned aerial vehicle is used for investigation, monitoring and inspection of a construction site and providing high-resolution aerial images and videos for project management and quality control;
the conveyer belt and the automatic crane are respectively used for automatically conveying materials and equipment to a construction site and assisting in safe transportation when the box girder is constructed at high altitude;
the vibrating table and the vibrating equipment are used for vibrating after concrete pouring so as to remove air bubbles and improve the compactness of the concrete.
The intelligent integration and management are carried out on equipment such as a concrete pump, an injection robot, a steel bar processing robot, an automatic steel template manufacturing machine, a cantilever robot, an automatic inspection robot, automatic measuring equipment, an unmanned aerial vehicle, a conveying belt, an automatic crane, a vibrating table, vibrating equipment and the like, so that the box girder can be manufactured more efficiently and safely.
In the intelligent control of step S5: optimizing the construction progress includes predicting the construction time, dynamically adjusting the progress:
wherein predicting the construction time includes using the historical data and the current construction progress to predict the completion time of the box girder construction, and dynamically adjusting the progress includes using the AI system to automatically adjust the construction progress plan according to the real-time data and conditions to cope with an emergency or an insufficient resource condition;
resource allocation includes material and labor management, equipment scheduling:
wherein material and labor management includes optimizing distribution of material and labor using AI algorithms, ensuring adequate resource supply at the appropriate time and place, and equipment scheduling includes helping optimize use of equipment using an automated decision system;
risk management includes risk identification, risk assessment:
wherein risk identification includes analyzing historical data and real-time data using a machine learning model to identify possible risk factors such as unstable weather, supply chain problems, or construction errors, and risk assessment is to automatically assess the severity of risk using an AI system based on the risk identification results and provide advice to assist a project management team in making decisions;
the predictive maintenance includes equipment maintenance, box girder maintenance:
wherein equipment maintenance includes predicting maintenance requirements of the equipment based on data of equipment sensors using AI algorithms to reduce unnecessary downtime, while box girder maintenance includes predicting maintenance requirements based on historical data and usage of the box girders using machine learning models to ensure long-term reliability thereof, and AI algorithms are a set of mathematical and computer science methods for simulating and imitating computer programs of human intelligent behaviors and decision processes, which are key components of constructing an Artificial Intelligence (AI) system for processing and analyzing data, learning patterns, making decisions, and performing various intelligent tasks, AI algorithms have been very conveniently put into predictive maintenance of box girders as algorithms relatively mature nowadays.
And the management in step S5 further includes: utilizing Virtual Reality (VR) and Augmented Reality (AR) technologies to provide construction training, visual simulation, and real-time guidance, AR devices are used at the construction site to display real-time information and instructions about the box girder, in this implementation, the AR devices may be selected to: such as smart phone and tablet computer, AR glasses and AR dedicated sensor, etc. to better with virtual information stack in real world, with reinforcing user's perception and interactive experience, through intelligent interaction, promote efficiency of construction and quality.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. An intelligent box girder construction method is characterized in that: comprising the following steps:
s1, project planning and design, which specifically comprises the following steps:
project planning: before construction is started, project evaluation is carried out, and requirements and targets for constructing the box girder are determined, wherein the requirements and targets comprise specifications of cross section, length, bearing capacity and the like;
designing a box girder: the method comprises the steps of formulating a detailed design of the box girder, including a structure, materials and a construction method;
s2, data acquisition and monitoring, wherein the method specifically comprises the following steps:
and (2) sensor installation: installing sensors at the construction site for monitoring environmental factors (such as temperature, humidity, wind speed) and changes in the box girder itself (such as displacement, stress);
data acquisition and detection: continuously collecting data through a sensor and transmitting the data to a data analysis system so as to monitor the construction process in real time;
s3, automatic machine and robot construction, which specifically comprises the following steps:
automated machine and robot: automated machines and robots are introduced to perform construction tasks such as concrete placement, rebar installation, and formwork making, which machines are controlled simultaneously by predetermined computer programs and algorithms to ensure high precision and efficiency;
s4, virtual model creation and construction simulation, which concretely comprises the following steps:
creating a virtual model: creating a virtual model of the box girder using computer software, including detailed geometric and structural features;
and (3) construction simulation: performing construction simulation in the virtual model, and optimizing a construction plan, resource allocation and a construction process;
s5, intelligent control and management, which specifically comprises the following steps:
and (3) intelligent control: utilizing artificial intelligence and machine learning algorithms to automate decision processes including optimizing construction progress, resource allocation, risk management, and predictive maintenance;
and (3) management: remote monitoring and adjustment, engineers and management personnel monitor construction progress in real time through a remote monitoring system, adjust according to requirements, and ensure the safety and quality of construction;
s6, quality control and acceptance, which specifically comprises the following steps:
and (3) quality control: quality inspection using intelligent techniques, including detection of defects and deviations using laser scanning and image recognition;
and (5) acceptance checking: and after the box girder is built, checking and accepting are carried out, so that the box girder meets the design requirements and safety standards.
2. The intelligent box girder construction method according to claim 1, wherein: in any one of the steps 1-6, the data and functions of the intelligent technology can be combined with cloud computing and internet of things (IoT), and the cloud storage space and the database such as cloud, ali cloud and the like are combined through high-speed transmission of 5G data, and terminal imaging such as mobile phone video and television is assisted, so that data storage, sharing and remote access are realized.
3. The intelligent box girder construction method according to claim 1, wherein: the automated machine and robot construction of step S3 further includes: concrete pump and spraying robot, steel bar processing robot, automatic steel template making machine, cantilever robot, automatic inspection robot, automatic measuring equipment, unmanned aerial vehicle, conveyer belt and automatic crane, vibrating table and vibrating equipment;
the concrete pump and the spraying robot are used for conveying the concrete to a required position through a pipeline, and pouring of the concrete is automatically completed;
the steel bar machining robot is used for cutting, bending and installing steel bars according to design specifications;
the automatic steel template manufacturing machine is used for automatically cutting and assembling the box girder templates according to design requirements;
the cantilever robot is used for hanging on a box girder and completing concrete spraying and steel bar installation;
the automatic inspection robot is used for detecting defects and deviations through a laser scanning or vision system so as to inspect the quality of the surface of the box girder;
the automatic measuring equipment comprises measuring equipment such as a laser range finder, a total station, a GPS and the like and is used for measuring the position, the size and the flatness of the box girder so as to ensure that the box girder meets the design requirements;
the unmanned aerial vehicle is used for investigation, monitoring and inspection of a construction site and providing high-resolution aerial images and videos for project management and quality control;
the conveying belt and the automatic crane are respectively used for automatically conveying materials and equipment to a construction site and assisting in safe transportation during high-altitude construction of the box girder;
the vibrating table and the vibrating equipment are used for vibrating after concrete pouring so as to remove air bubbles and improve the compactness of concrete.
4. The intelligent box girder construction method according to claim 1, wherein: in the intelligent control of step S5:
the optimizing construction progress comprises the steps of predicting construction time and dynamically adjusting progress:
wherein predicting the construction time includes using the historical data and the current construction progress to predict the completion time of the box girder construction, and dynamically adjusting the progress includes using the AI system to automatically adjust the construction progress plan according to the real-time data and conditions to cope with an emergency or an insufficient resource condition;
the resource allocation includes material and labor management, equipment scheduling:
wherein material and labor management includes optimizing distribution of material and labor using AI algorithms, ensuring adequate resource supply at the appropriate time and place, and equipment scheduling includes helping optimize use of equipment using an automated decision system;
the risk management includes risk identification and risk assessment:
wherein risk identification includes analyzing historical data and real-time data using a machine learning model to identify possible risk factors such as unstable weather, supply chain problems, or construction errors, and risk assessment is to automatically assess the severity of risk using an AI system based on the risk identification results and provide advice to assist a project management team in making decisions;
the predictive maintenance includes equipment maintenance and box girder maintenance:
wherein equipment maintenance includes predicting maintenance requirements of the equipment according to data of equipment sensors by using an AI algorithm to reduce unnecessary downtime, and box girder maintenance includes predicting maintenance requirements based on historical data and use conditions of the box girders by using a machine learning model to ensure long-term reliability thereof.
5. The intelligent box girder construction method according to claim 1, wherein: the management in step S5 further includes:
virtual Reality (VR) and Augmented Reality (AR) technologies are utilized to provide construction training, visual simulation, and real-time guidance, AR equipment is used at a construction site to display real-time information and instructions about the box girder.
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| CN117890214A (en) * | 2024-03-14 | 2024-04-16 | 西安汉华建筑实业有限公司 | Aluminum template quality inspection detection method based on machine vision |
| CN117890214B (en) * | 2024-03-14 | 2024-06-04 | 西安汉华建筑实业有限公司 | Aluminum template quality inspection detection method based on machine vision |
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