CN112084550A - Digital twinning modeling method for intelligent hoisting process of prefabricated parts of fabricated building - Google Patents
Digital twinning modeling method for intelligent hoisting process of prefabricated parts of fabricated building Download PDFInfo
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Abstract
The invention discloses a digital twinning modeling method for an intelligent hoisting process of prefabricated parts of an assembly type building, which mainly comprises the steps of solid modeling of an assembly type building construction site, digital twinning virtual body modeling and virtual-real interaction correlation modeling. The construction site entity modeling is composed of intelligent hoisting component modeling, intelligent hoisting equipment modeling and intelligent gateway modeling, and construction site data acquisition is realized; the digital twin virtual body modeling carries out analog simulation on a construction site from four aspects of geometry, physics, behavior and rule; the virtual-real interactive correlation modeling is to realize synchronous simulation of the construction site entity modeling and the digital twin virtual body modeling through a data transmission protocol, so as to realize model-driven prediction and optimization. The invention can solve the problems of difficult data mapping, complicated information, insufficient intuition, difficult searching and the like in the hoisting process of the traditional prefabricated building components, strengthens the control on the assembly type construction process, improves the construction efficiency and improves the informatization level of the assembly type hoisting process.
Description
Technical Field
The invention relates to the field of digital twinning and building construction, in particular to a digital twinning modeling method for an intelligent hoisting process of prefabricated parts of an assembly type building.
Background
In recent years, China has become a large building country with great attention, and the building industry of China will take green, industrialized and information roads in the future. The assembly type building is one of important paths for realizing the transformation from a traditional construction mode to a modern industrialized construction mode, the technical level of the assembly type building directly reflects the national construction capability and the scientific and technological strength, and the development of the assembly type building is comprehensively promoted to become the central importance of the construction industry. With the improvement of the industrialization degree, the technical level of the fabricated building is also continuously improved, such as the improvement of the prefabrication rate, the increase of the component quantity, the wider propulsion area, the increase of the hoisting height and the like, and along with the increase of the potential safety hazards in the aspects of hoisting operation, falling objects and the like, the industry is required to pay attention. The method improves the construction hoisting management level of the fabricated building, has important significance for promoting the development of the fabricated building towards a healthy and sustainable direction and for the economic construction and social stability of China.
The digital twin is widely concerned and researched by academia as a key enabling technology for solving the physical fusion problem of intelligent manufacturing information and practicing the intelligent manufacturing idea target, and is introduced to the building industry from the industry for landing application. The digital twin is taken as a key enabling technology for solving the physical fusion problem of intelligent manufacturing information and practicing the intelligent manufacturing idea and target, is widely concerned and researched by academia, and is introduced into more and more fields by the industry for landing application. The primary task of a digital twin landing application is to create a digital twin model of the application object.
Therefore, the establishment of the digital twin model is a precondition for applying the digital twin concept in the construction stage of the building, and the standardized establishment method of the digital twin model is one of the key problems to be solved urgently.
With the continuous improvement of informatization requirements of the assembly type hoisting process, the digital twin is taken as an informatization solution with universality, and the informatization level of the assembly type hoisting process can be greatly improved. On the background, the invention provides a digital twinning modeling method for the intelligent hoisting process of an assembly type building prefabricated part, and compared with the hoisting process of the traditional assembly type building prefabricated part, the method has the following three advantages:
(1) and the logical relation of data in the hoisting process of the fabricated building is clearly and comprehensively displayed.
(2) All information of the assembly type hoisting process is collected, stored and processed, control over the assembly type construction process is strengthened, and construction efficiency is improved.
(3) The defects that the traditional assembly type hoisting process is difficult to map, information is redundant and complicated, the traditional assembly type hoisting process is not visual enough and difficult to search are overcome, and the informatization level of the assembly type hoisting process is improved.
Disclosure of Invention
The invention aims to solve the problems that data are difficult to map, information is redundant and complicated, the information is not visual enough, the searching is difficult, and the logic is disordered in the information collection, storage and processing processes in the traditional assembly type building prefabricated part hoisting process.
The digital twinning modeling method for the assembly type building prefabricated part in the hoisting process clearly and comprehensively shows the logical relation of data in the assembly type building prefabricated part in the hoisting process. All information of the assembly type hoisting process is collected, stored and processed, control over the assembly type construction process is strengthened, and construction efficiency is improved.
The defects that the traditional assembly type hoisting process is difficult to map, information is redundant and complicated, the traditional assembly type hoisting process is not visual enough and difficult to search are overcome, and the informatization level of the assembly type hoisting process is improved.
In order to solve the technical problems, the technical scheme is as follows:
a digital twinning modeling method for an intelligent hoisting process of an assembly type building prefabricated part is characterized by comprising the following steps:
the construction site entity modeling is composed of intelligent hoisting component modeling, intelligent hoisting equipment modeling and intelligent gateway modeling, and construction site data acquisition is realized;
the digital twin virtual body modeling carries out analog simulation on a construction site from four aspects of geometry, physics, behavior and rule;
the virtual-real interactive correlation modeling is to realize synchronous simulation of the construction site entity modeling and the digital twin virtual body modeling through a data transmission protocol, so as to realize model-driven prediction and optimization.
Further, the digital twinning modeling method for the intelligent hoisting process of the prefabricated parts of the fabricated building is characterized by comprising the following steps of:
the intelligent hoisting component consists of a component body, an active RFID tag and an embedded terminal X.
Further, the digital twinning modeling method for the intelligent hoisting process of the prefabricated parts of the fabricated building is characterized by comprising the following steps of:
the types of components themselves mainly include laminated slabs, stairs, walls, balconies, etc.
The RFID tag is attached to the component closely, and the unique number of the component and the entire characteristic information of the component can be identified by scanning the RFID tag.
The embedded terminal X adopts STEM32, is integrated with a real-time data acquisition and preprocessing APP, and is used for real-time sensing of environment and component states, and data storage, calculation and transmission.
Further, the digital twinning modeling method for the intelligent hoisting process of the prefabricated parts of the fabricated building is characterized by comprising the following steps of:
the intelligent hoisting equipment consists of equipment, a heterogeneous sensor, an actuator, a controller and an embedded terminal Y.
Further, the digital twinning modeling method for the intelligent hoisting process of the prefabricated parts of the fabricated building is characterized by comprising the following steps of:
the equipment itself mainly comprises a crane, a cross hanging beam and the like
The heterogeneous sensor mainly collects position data S, speed data V, stress data F, energy consumption data E, visual data I, voice data L and the like.
And the executor and the controller receive the execution instruction and the control instruction, and the automatic execution and control of the hoisting of the prefabricated assembly are realized.
The embedded terminal Y requests data from the sensor in a request form by calling the real-time data acquisition preprocessing APP, so that non-redundant storage, edge calculation and transmission communication, autonomous analysis and decision of the related real-time data of the hoisting equipment are realized.
Further, the digital twinning modeling method for the intelligent hoisting process of the prefabricated parts of the fabricated building is characterized by comprising the following steps of:
the intelligent gateway adopts embedded equipment such as RPI and the like, and establishes connection with the bottom layer intelligent manufacturing equipment through communication protocols such as MTConnect, AutomationML, OPC UA and the like.
The intelligent gateway integrates the intelligent hoisting component and data on the embedded terminal X and the embedded terminal Y on the intelligent hoisting equipment, and the data are transmitted in a JSON format and stored in a cloud NoSQL public database according to authority and hierarchy. The intelligent gateway is connected with the intelligent hoisting component and the intelligent hoisting equipment in a wireless mode such as Zigbee, WIFI and Bluetooth.
Further, the digital twinning modeling method for the intelligent hoisting process of the prefabricated parts of the fabricated building is characterized by comprising the following steps of:
the digital twin virtual body modeling carries out analog simulation on a construction site from four aspects of geometry, physics, behavior and rules.
The geometric layer mainly carries out modeling aiming at basic information such as appearance, size and model of a hoisting component and hoisting equipment, and BIM modeling software such as Revit and 3Dsmax is mainly applied to establish a geometric model.
The physical layer is mainly used for modeling material parameters, mechanical properties and the like of hoisting components and hoisting equipment, and is mainly used for establishing a physical model by using finite element analysis software such as midas and ansys.
And (5) performing time-space evolution simulation on the whole hoisting process on the behavior level to obtain the changes of material parameters and mechanical properties in the time-space evolution process, and integrating the changes into a physical model in a parameterized form.
The rule model quantifies and limits the mechanical property parameters of the member and the equipment running state in the hoisting process according to the national standard specification, and is integrated into the physical model in a parameterized form.
Further, the digital twinning modeling method for the intelligent hoisting process of the prefabricated parts of the fabricated building is characterized by comprising the following steps of:
the virtual-real interaction correlation model is realized through a high-speed, high-stability and low-delay data transmission protocol (such as DDS, MQTT, HTTP and the like). The virtual-real interaction correlation model enables real-time data such as component parameters, equipment running states and environmental changes in the physical model of the assembly type building hoisting construction site to be synchronized to the digital twin virtual model and stored in the public database according to safety authorities, and the digital twin virtual model is enabled to realize synchronous simulation.
The virtual-real interaction correlation model applies algorithms such as BP neural network, SVM, deep learning and the like to form real-time judgment, analysis and prediction of the hoisting process, and realizes self-perception, self-decision and self-control of the fabricated building hoisting construction site entity.
Compared with the prior art, the method clearly and comprehensively shows the logical relation of the data in the hoisting process of the fabricated building. All information of the assembly type hoisting process is collected, stored and processed, control over the assembly type construction process is strengthened, and construction efficiency is improved. The defects that the traditional assembly type hoisting process is difficult to map, information is redundant and complicated, the traditional assembly type hoisting process is not visual enough and difficult to search are overcome, and the informatization level of the assembly type hoisting process is improved.
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FIG. 1 is a flow chart of a digital twin modeling method in an intelligent hoisting process of prefabricated parts of an assembly type building.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Implementation example:
the hoisting process of the laminated slab, which is a typical component of the assembly construction site, is taken as an example.
Firstly, modeling of the intelligent hoisting laminated slab.
Intelligence is in the superimposed sheet manufacturing process, guarantees that the superimposed sheet accords with the requirement for quality. And an active RFID tag and an embedded terminal X are closely attached to the laminated slab to form the intelligent hoisting laminated slab. The unique number of the laminated slab and all characteristic information of the manufacturer, production place, material, size and the like of the laminated slab can be identified by scanning the RFID tag. The embedded terminal X adopts STEM32, is integrated with real-time data acquisition and preprocessing APP, carries out real-time perception on information such as the position, stress strain and wind speed of the laminated plate, and stores, calculates and transmits data.
Secondly, modeling by the intelligent crane.
The crane is provided with a heterogeneous sensor, an actuator, a controller and an embedded terminal Y to form intelligent hoisting equipment. The heterogeneous sensor mainly collects position data S, hoisting speed data V, lifting rope stress data F, crane energy consumption data E, other visual data I, voice data L and the like of a lifting hook. And the executor and the controller receive the execution instruction and the control instruction to realize the automatic execution and control of the hoisting of the laminated plate. The embedded terminal Y requests data from the sensor in a request form by calling the real-time data acquisition preprocessing APP, so that non-redundant storage, edge calculation and transmission communication, autonomous analysis and decision of the related real-time data of the crane are realized.
Then, intelligent gateway modeling is performed.
The intelligent gateway adopts embedded equipment such as RPI and the like, and establishes connection with the bottom layer intelligent manufacturing equipment through communication protocols such as MTConnect, AutomationML, OPC UA and the like. The intelligent gateway integrates the intelligent laminated plate, the embedded terminal X on the intelligent crane and the data on the embedded terminal Y, and the data are transmitted in a JSON format and stored in a cloud NoSQL public database according to authority and hierarchy. The intelligent gateway is connected with the intelligent hoisting component and the intelligent hoisting equipment in a WIFI mode.
Next, digital twinning phantom modeling is performed.
Revit modeling software was used to stack the slab and crane geometry models. The geometric model of the laminated slab comprises all characteristic information of a manufacturer, a production place, materials, sizes and the like, and corresponds to the information of the active RFID tag on the laminated slab; the crane geometric model comprises all information such as tonnage, model, span, hoisting height and the like. And (3) establishing a physical model of the laminated slab and the crane by using the midas finite element analysis software. The physical model of the laminated slab mainly comprises information such as materials, stress strain and the like; the crane physical model mainly comprises equal information. And (3) performing time-space evolution simulation on the whole hoisting process at a behavior level to obtain the changes of the material parameters and the mechanical properties of the laminated slab, the positions of the lifting hooks of the crane, the hoisting speed, the stress of the lifting ropes and the energy consumption in the time-space evolution process, and integrating the changes into a physical model in a parameterized form. And the regular model quantitatively limits the mechanical property parameters of the laminated slab and the running state of a crane in the hoisting process according to the national standard specification, and is integrated into the physical model in a parameterized manner.
After the hoisting is started, real-time data such as superimposed sheet parameters, crane running states, environmental changes and the like in the physical model of the assembly type building hoisting construction site can be synchronized to the digital twin virtual model through a high-speed, high-stability and low-delay data transmission protocol (such as DDS, MQTT, HTTP and the like) through the virtual-real interaction correlation model, and the digital twin virtual model is stored in a public database according to safety rights, so that the digital twin virtual model can realize synchronous simulation. And (3) applying algorithms such as BP neural network, SVM, deep learning and the like to form real-time judgment, analysis and prediction of the hoisting process of the laminated slab, and realizing self-perception, self-decision and self-control of the fabricated building hoisting construction site entity.
Although the illustrative embodiments of the present invention have been described above to enable those skilled in the art to understand the present invention, the present invention is not limited to the scope of the embodiments, and it is apparent to those skilled in the art that all the inventive concepts using the present invention are protected as long as they can be changed within the spirit and scope of the present invention as defined and defined by the appended claims.
Claims (8)
1. A digital twin modeling method in the intelligent hoisting process of prefabricated parts of an assembly type building is characterized by comprising the following steps:
the construction site entity modeling for intelligent hoisting of the prefabricated components of the fabricated building is composed of intelligent hoisting component modeling, intelligent hoisting equipment modeling and intelligent gateway modeling, and data acquisition of the construction site for intelligent hoisting of the prefabricated components of the fabricated building is realized;
performing analog simulation on the intelligent hoisting construction site of the prefabricated part of the assembly type building from four aspects of geometry, physics, behavior and rule by digital twin virtual body modeling;
the virtual-real interactive correlation modeling is to realize synchronous simulation of the solid modeling and the digital twin virtual body modeling of the intelligent hoisting construction site of the prefabricated parts of the fabricated building through a data transmission protocol, and realize model-driven prediction and optimization.
2. The method for modeling the intelligent hoisting process of the prefabricated parts of the fabricated building according to claim 1, which is characterized in that: the assembly type building intelligent hoisting component consists of a component body, an active RFID tag and an embedded terminal X.
3. The method for modeling the intelligent hoisting process of the prefabricated parts of the fabricated building according to claim 2, which is characterized in that:
the types of the intelligent hoisting members of the fabricated building comprise a laminated slab, a stair, a wall and a balcony;
the RFID tag is closely attached to the assembly type building intelligent hoisting component, and the unique number of the component and all characteristic information of the assembly type building intelligent hoisting component are identified by scanning the RFID tag;
the embedded terminal X adopts STEM32, is integrated with a real-time data acquisition and preprocessing APP, and is used for real-time sensing of environment and component states, and data storage, calculation and transmission.
4. The method for modeling the intelligent hoisting process of the prefabricated parts of the fabricated building according to claim 1, which is characterized in that:
the intelligent hoisting equipment consists of equipment, a heterogeneous sensor, an actuator, a controller and an embedded terminal Y.
5. The method for modeling the intelligent hoisting process of the prefabricated parts of the fabricated building according to claim 4, wherein the method comprises the following steps:
the hoisting equipment comprises a crane and a transverse hoisting beam;
the heterogeneous sensor collects position data S, speed data V, stress data F, energy consumption data E, visual data I and voice data L;
the executor and the controller receive the execution instruction and the control instruction to realize the automatic execution and control of the hoisting of the prefabricated parts;
the embedded terminal Y requests data from the sensor in a request form by calling the real-time data acquisition preprocessing APP, so that non-redundant storage, edge calculation and transmission communication, autonomous analysis and decision of the related real-time data of the hoisting equipment are realized.
6. The method for modeling the intelligent hoisting process of the prefabricated parts of the fabricated building according to claim 1, which is characterized in that:
the intelligent gateway adopts RPI embedded equipment and establishes connection with the bottom layer intelligent manufacturing equipment through MTConnect, AutomationML or OPC UA communication protocols;
the intelligent gateway integrates data on an intelligent hoisting component, an embedded terminal X and an embedded terminal Y on the intelligent hoisting equipment, and the data are transmitted in a JSON format and stored in a cloud NoSQL public database according to authority and hierarchy;
the intelligent gateway is connected with the intelligent hoisting component and the intelligent hoisting equipment in a wireless mode such as Zigbee, WIFI and Bluetooth.
7. The method for modeling the intelligent hoisting process of the prefabricated parts of the fabricated building according to claim 1, which is characterized in that:
the digital twin virtual body modeling carries out analog simulation on a construction site from four aspects of geometry, physics, behavior and rule;
the geometric layer is mainly used for modeling basic information such as appearance, size and model of a hoisting component and hoisting equipment, and BIM modeling software such as Revit and 3Dsmax is used for building a geometric model;
the physical layer is mainly used for modeling material parameters, mechanical properties and the like of hoisting components and hoisting equipment, and finite element analysis software such as midas and ansys is applied to establish a physical model;
performing time-space evolution simulation on the whole hoisting process on a behavior level to obtain the changes of material parameters and mechanical properties in the time-space evolution process, and integrating the changes into a physical model in a parameterized form;
the rule model quantifies and limits the mechanical property parameters of the member and the equipment running state in the hoisting process according to the national standard specification, and is integrated into the physical model in a parameterized form.
8. The method for modeling the intelligent hoisting process of the prefabricated parts of the fabricated building according to claim 1, which is characterized in that:
the virtual-real interaction correlation model is based on a high-speed, high-stability and low-delay data transmission protocol; the virtual-real interaction correlation model synchronizes real-time data such as component parameters, equipment running states, environmental changes and the like in the physical model of the assembly type building hoisting construction site to the digital twin virtual model and stores the digital twin virtual model in a public database according to safety authorities, so that the digital twin virtual model realizes synchronous simulation;
and the virtual-real interaction correlation model applies a BP neural network, an SVM and a deep learning algorithm to form real-time judgment, analysis and prediction of the hoisting process, and realizes self-perception, self-decision and self-control of the fabricated building hoisting construction site entity.
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| CN113047548A (en) * | 2021-03-10 | 2021-06-29 | 陕西华山建设集团有限公司 | Hoisting construction method for steel stairs in irregular plate column shear wall structure |
| CN113110313A (en) * | 2021-03-26 | 2021-07-13 | 广东建设职业技术学院 | Construction process control method based on digital twinning |
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