CN115982828A - Bridge maintenance digital twin body construction method and device - Google Patents
Bridge maintenance digital twin body construction method and device Download PDFInfo
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Abstract
The invention provides a bridge maintenance digital twin body construction method and a device, belonging to the field of digital twin body construction, wherein the method comprises the following steps: classifying the structure of the bridge, and determining the attribute of the digital twin unit corresponding to each class; configuring the attributes of the digital twin unit corresponding to the category to which each structure belongs, including a geometric model, a data model, an action model, a service model and a mechanism simulation model, and constructing the digital twin unit corresponding to each structure; and acquiring sensor data and external data associated with each structure according to the attribute configuration, and calling a data analysis function associated with the attribute of the digital twin unit corresponding to each structure according to the sensor data and the external data to acquire a data analysis result. The method reduces the development workload, improves the construction efficiency of the digital twin of the bridge, and has stronger expandability and universality, thereby better performing maintenance service data superposition, state display and behavior analysis prediction under different model scenes and providing a standard for the construction of the digital twin.
Description
Technical Field
The invention relates to the field of digital twin construction, in particular to a bridge maintenance digital twin construction method and device.
Background
The digital twin is a simulation process integrating multiple disciplines, multiple physical quantities, multiple scales and multiple probabilities by fully utilizing data such as physical models, sensor updating, operation history and the like. By completing the mapping in the virtual space, the full life cycle process of the entity equipment corresponding to the mapping is reflected. Therefore, the method is widely applied to the fields of smart cities, digital intelligence, smart construction, smart operation and maintenance and the like.
Specifically, the digital twin creates a three-dimensional digital model of a Building target through BIM (Building Information Modeling), CAD (Computer Aided Design), and the like, and then creates a mapping between a physical entity and a digital virtual topic through internet of things perception and control, so as to represent various characteristics of a certain specific physical entity, such as state, action, logic, and the like, and form a digital model, i.e., a digital twin body.
When the digital twin is applied to a bridge or other buildings, a traditional three-dimensional model is usually constructed on a specific building, and then mapping between a building entity and the digital twin is formed in a data acquisition and data analysis mode on the basis of the three-dimensional model, so that construction of the digital twin is completed.
When the same kind of buildings, such as bridges, are applied to different scenes, a specific three-dimensional model of the building needs to be constructed according to the actual construction condition of the building, and then the construction of a digital twin body is carried out, so that a large amount of customized research and development are still needed when the digital twin body is constructed, and a digital twin body system in the true sense is difficult to realize. Therefore, the existing digital twin construction method has large development workload and low efficiency.
Disclosure of Invention
The invention provides a construction method of a bridge maintenance digital twin body, which is used for solving the problems that the development workload of a digital twin system is large in the prior art, the method has the defect of low efficiency, and constructs a universal bridge digital twin system.
The invention provides a bridge maintenance digital twin body construction method, which comprises the following steps:
classifying the structure of the bridge, and determining the attribute of the digital twin unit corresponding to each class;
and configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs, and constructing the digital twin unit corresponding to each structure.
According to the bridge maintenance digital twin body construction method provided by the invention, the step of classifying the bridge structure comprises the following steps:
and classifying the structures of the bridge according to the position relation among the structures of the bridge, the functions and the characteristics of the structures.
According to the digital twin construction method for bridge maintenance provided by the invention, the step of classifying the structure of the bridge according to the position relationship among the structures of the bridge, the effect and the characteristics of the structure comprises the following steps:
dividing the structures of the bridge into a plurality of first categories according to the position relationship among the structures of the bridge;
dividing the structure of each first class into a plurality of second classes according to the function of the structure of each first class;
dividing the structure of each second category into a plurality of third categories according to the characteristics of the structure of each second category;
the step of determining the attribute of the corresponding digital twin unit of each type of structure comprises the following steps:
determining an attribute of the digital twin unit corresponding to each third category.
According to the bridge maintenance digital twin body construction method provided by the invention, the attributes of the digital twin unit corresponding to each category comprise a geometric model, a data model, an action model, a rule model, a service model and a mechanism simulation model;
the geometric model comprises two-dimensional attributes and three-dimensional attributes;
the data model comprises static data, perception data, control data and artificial data;
the static data comprises basic attributes, position attributes and relation attributes;
the motion model comprises a perception motion and a control motion;
the rule model includes abnormal alarms and conditional operations;
the business model comprises daily inspection, regular maintenance and disease repair.
According to the bridge maintenance digital twin body construction method provided by the invention, the attributes of the digital twin units corresponding to the category to which each structure belongs are configured, and the step of constructing the digital twin units corresponding to each structure comprises the following steps:
configuring a CAD drawing of each structure for the two-dimensional attributes;
configuring a BIM model and/or other three-dimensional models of each structure for the three-dimensional attributes;
configuring one or more of name, serial number, specification, size, text description and picture image of each structure for the basic attributes;
configuring GIS coordinates and/or a position relative to an origin of each structure for the position attributes;
configuring the relationship attributes of each structure and other structures of the bridge for the relationship attributes;
configuring sensor codes of each structure for the perception data;
configuring the control data with adjustable attributes;
configuring the manual data through manual input or importing the manual data by a third-party system;
configuring a perception function for the perception action;
configuring a control function for the control action;
configuring an abnormal alarm function for the abnormal alarm;
configuring a function for triggering a corresponding action when the attribute meets a preset condition for the condition operation;
configuring a daily inspection business process for the daily inspection;
configuring a regular maintenance business process for the regular maintenance;
configuring a disease repair business process for the disease repair;
and configuring a mechanism analysis algorithm or a mechanism analysis simulation platform for the mechanism simulation model.
According to the bridge maintenance digital twin body construction method provided by the invention, after the step of configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs and constructing the digital twin unit corresponding to each structure, the method further comprises the following steps:
and checking the integrity and correctness of the attribute of the digital twin unit corresponding to each structure.
According to the method for constructing the bridge maintenance digital twin body provided by the invention, after the steps of configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs and constructing the digital twin unit corresponding to each structure, the method further comprises the following steps of:
acquiring sensor data and external data associated with each structure according to the configuration of the attribute of the digital twin unit corresponding to each structure;
and calling a data analysis function associated with the attribute of the digital twin unit corresponding to each structure according to the sensor data and the external data associated with each structure to obtain a data analysis result corresponding to each structure.
The invention also provides a digital twin construction device for bridge maintenance, which comprises:
the determining module is used for classifying the structure of the bridge and determining the attribute of the digital twin unit corresponding to each class;
and the construction module is used for configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs and constructing the digital twin unit corresponding to each structure.
The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the bridge maintenance digital twin construction method.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of constructing a digital twin for bridge maintenance as described in any of the above.
The invention also provides a computer program product, which comprises a computer program, wherein the computer program is used for realizing any one of the bridge maintenance digital twin construction methods when being executed by a processor.
According to the bridge maintenance digital twin body construction method and device, the bridge structure is subjected to type division, corresponding digital twin unit attributes are constructed for each type of bridge structure in advance, when the digital twin unit of each structure of the bridge is constructed, only the digital twin unit attribute corresponding to the type to which each structure belongs is configured, and only once development is needed, so that the method and device can be suitable for construction of digital twin bodies of various bridges, the reusability is high, the development workload is reduced, and the bridge digital twin body construction efficiency is improved; and the digital twin unit attributes corresponding to the bridge structure type and the type can be dynamically expanded according to the needs, and the expandability and the universality are strong, so that maintenance service data superposition, state display and behavior analysis prediction under different model scenes can be better performed, and the specifications are provided for the construction of the digital twin.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a bridge maintenance digital twin construction method according to an embodiment of the present invention;
FIG. 2 is a second schematic flow chart of the digital twin construction method for bridge maintenance according to the present invention;
FIG. 3 is a schematic structural diagram of a digital twin construction device for bridge maintenance provided by the present invention;
fig. 4 is a schematic structural diagram of an electronic device provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The construction method of the bridge maintenance digital twin body of the present invention is described below with reference to fig. 1, and the method includes:
optionally, the structure of the bridge is divided into several categories, such as bridge abutment, bridge pier, foundation and support, according to the professional structure and maintenance service requirement of the bridge.
The digital twin is to establish a digital mapping model of a real world physical entity and is used for representing bridge maintenance elements. And determining the digital twin design of each type of structure by classifying the structures of the bridge.
The structural category of the bridge can be dynamically added or modified along with the deep cognition of the bridge digital twin or the expansion of the application.
Each class of structure has a consistent digital twin unit attribute, the corresponding digital twin unit attribute being predefined for each class of structure.
The digital twin unit attributes corresponding to the structure of each category are as rich as possible, and all factors possibly involved are covered, so that twin mapping from a real physical space to a virtual digital space is realized, and various maintenance service requirements can be met.
The digital twin unit attribute corresponding to the structure of each category can be dynamically added or modified along with the deep cognition or the expansion of the application of the bridge digital twin body.
And searching the digital twin unit attribute corresponding to the category according to the category of each structure of the bridge.
And 102, configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs, and constructing the digital twin unit corresponding to each structure.
For a certain bridge needing digital twin construction, the construction process of a digital twin model is equal to the configuration process of the attribute of a digital twin unit corresponding to the class to which each structure of the bridge belongs. And after the configuration is finished, the construction of the bridge digital twin body can be finished.
For each structure of the bridge, all digital twin unit attributes corresponding to the category to which each structure belongs do not need to be set, and only relevant attributes conforming to the characteristics of the structure can be set as required.
The attributes of the digital twin units corresponding to the category to which each structure belongs can be displayed on an interface, and a user can configure the attributes according to actual conditions.
In the embodiment, the bridge structures are classified, corresponding digital twin unit attributes are pre-constructed for each type of bridge structure, when the digital twin unit of each structure of the bridge is constructed, only the digital twin unit attribute corresponding to the type to which each structure belongs needs to be configured, and only once development is needed, so that the digital twin unit can be suitable for construction of digital twin bodies of various bridges, the reusability is high, the development workload is reduced, and the construction efficiency of the digital twin bodies of the bridge is improved; and the digital twin unit attributes corresponding to the bridge structure type and the type can be dynamically expanded according to the needs, and the expandability and the universality are strong, so that maintenance service data superposition, state display and behavior analysis prediction under different model scenes can be better performed, and the specifications are provided for the construction of the digital twin.
On the basis of the above embodiment, the step of classifying the structure of the bridge in this embodiment includes: and classifying the structures of the bridge according to the position relation among the structures of the bridge and the functions and characteristics of the structures.
The position relationship between the structures of the bridge is, for example, the upper and lower relationship, the left and right relationship, and the like. For example, the bridge deck belongs to an upper structure in a bridge structure, and the pier belongs to a lower structure of the bridge.
The functions of the bridge structure include load bearing and coupling. The features of the bridge structure include shape features.
In the embodiment, the types of the bridge structures are finely divided through the three standards, so that each type of bridge structure has consistent digital twin unit attributes. The present embodiment does not limit the specific classification method.
On the basis of the above embodiments, the step of classifying the structures of the bridge according to the position relationship among the structures of the bridge, the functions and the features of the structures in this embodiment includes:
dividing the structures of the bridge into a plurality of first categories according to the position relationship among the bridge structures;
alternatively, the structure of the bridge is divided into an upper structure, a lower structure and an attachment structure according to the positional relationship among the structures of the bridge.
Dividing the structure of each first category into a plurality of second categories according to the function of the structure of each first category;
optionally, the upper structure of the bridge is further divided into a bearing structure and a connecting structure according to the action of the bridge structure, the lower structure of the bridge is further divided into a pier, a bridge abutment, a foundation and an anchorage, and the auxiliary structure is further divided into a support, a cushion, a leveling layer and the like.
Dividing the structure of each second category into a plurality of third categories according to the characteristics of each second category;
optionally, the load-bearing structure is further divided into plates, beams, trusses, arches, etc. according to the characteristics of the bridge structure, and other second category structures are also specifically divided.
The bridge structures were classified hierarchically as shown in tables 1 to 3 with reference to the Highway engineering construction information model Classification and coding Standard (DB 34/T3838-2021).
TABLE 1
TABLE 2
TABLE 3
The step of determining the attribute of the corresponding digital twin unit of each type of structure comprises the following steps:
determining an attribute of the digital twin unit corresponding to each third category.
For example, the superstructure of one bridge has two plates and the superstructure of the other bridge has three plates. The prior art needs to develop two digital twins respectively constructing two bridges.
In the embodiment, for each plate in the first bridge and the second bridge, the digital twin unit attribute corresponding to the plate type is configured according to the actual requirement, so that the digital twin unit of each plate can be flexibly constructed, the development workload of constructing the bridge digital twin is reduced, and the construction efficiency of the bridge digital twin is improved.
As can be seen from table 3, for the second category in the category of the auxiliary structure, if the expansion joint device does not need or is inconvenient to perform the division of the third category, the digital twin unit attribute corresponding to each second category in the category of the auxiliary structure is pre-constructed.
In the embodiment, the bridge structure is finely divided in multiple levels, corresponding digital twin unit attributes are pre-constructed for each type of finely divided bridge structure, when the digital twin unit of each structure of the bridge is constructed, only the digital twin unit attribute corresponding to the type to which each structure belongs needs to be configured, and only once development is needed, so that the method can be suitable for constructing digital twin bodies of various bridges, the reusability is high, the development workload is reduced, and the construction efficiency of the digital twin bodies of the bridge is improved; and the digital twin unit attributes corresponding to the bridge structure type and the type can be dynamically expanded according to the needs, so that the method has better universality, better maintenance service data superposition, state display and behavior analysis prediction under different model scenes can be carried out, and the method provides a standard for the construction of the digital twin unit.
On the basis of the above embodiment, the attributes of the digital twin unit corresponding to each category in this embodiment include a geometric model, a data model, an action model, a rule model, a business model, and a mechanism simulation model;
the geometric model comprises two-dimensional attributes and three-dimensional attributes;
the data model comprises static data, perception data, control data and artificial data;
the static data comprises basic attributes, position attributes and relationship attributes;
the motion model comprises a perception motion and a control motion;
the rule model includes abnormal alarms and conditional operations;
the business model comprises daily inspection, regular maintenance and disease repair.
Optionally, the attributes of the digital twin unit corresponding to each category are designed by classification, specifically as shown in tables 4 to 5.
TABLE 4
TABLE 5
By configuring the action model, the rule model, the service model and the mechanism simulation model in tables 4 to 5, corresponding simulation software or pre-packaged processing functions can be called to complete the processes of three-dimensional display, anomaly monitoring and alarming, routing inspection, maintenance, repair reporting, mechanism simulation and the like of the bridge.
According to the method, a digital twin body with multiple attributes such as a geometric model, a data model, a rule model, a business model, a mechanism model and a knowledge base is constructed for each bridge structure type, so that complete mapping of a digital entity and a physical entity is established, various maintenance business requirements can be met, and the method has good universality and expandability.
On the basis of the foregoing embodiment, in this embodiment, the configuring an attribute of the digital twin unit corresponding to the category to which each structure belongs includes:
configuring a CAD drawing of each structure for the two-dimensional attributes;
configuring a BIM model and/or other three-dimensional models of each structure for the three-dimensional attributes;
configuring one or more of name, serial number, specification, size, text description and picture image of each structure for the basic attributes;
configuring GIS coordinates and/or a position relative to an origin of each structure for the position attributes;
configuring the relationship attributes of each structure and other structures of the bridge for the relationship attributes;
configuring sensor codes of each structure for the perception data;
configuring the control data with adjustable attributes;
configuring the manual data through manual input or importing the manual data by a third-party system;
configuring a perception function for the perception action;
configuring a control function for the control action;
configuring an abnormal alarm function for the abnormal alarm;
configuring a function for triggering a corresponding action when the attribute meets a preset condition for the condition operation;
configuring a daily inspection business process for the daily inspection;
configuring a regular maintenance business process for the regular maintenance;
configuring a disease repair business process for the disease repair;
and configuring a mechanism analysis algorithm or a mechanism analysis simulation platform for the mechanism simulation model.
Taking a certain load-bearing column of a bridge as an example, the digital twin unit attributes of the load-bearing column are configured, as shown in table 6. The digital twin unit attribute configuration of other structures of the bridge is similar to the attribute configuration of the bearing column.
TABLE 6 example of pillar digital twin Unit Attribute configurations
The table 6 can be applied to the construction of digital twins of other similar load-bearing columns only by changing a small amount of attributes such as a drawing, a BIM model code, a static attribute and an associated sensor code.
On the basis of the foregoing embodiment, in this embodiment, after the step of configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs and constructing the digital twin unit corresponding to each structure, the method further includes: and checking the integrity and correctness of the attribute of the digital twin unit corresponding to each structure.
In order to guarantee the reliability of data corresponding to the physical structure of the digital twin body unit attribute configuration, integrity and correctness of the digital twin body are verified after the digital twin body is constructed.
Optionally, for checking the integrity of the attribute of the digital twin unit, the attribute which must be configured can be marked and prompted on the page configured by the attribute of the digital twin unit. When the attribute configuration of the digital twin unit is submitted, the attribute configuration is required to be configured, and the unconfigured digital twin unit is checked out to prompt.
Optionally, the correctness of the digital twin is checked, whether a plurality of digital twin units are associated with the same BIM to construct, whether the BIM model code and the sensor code conform to a preset format, and the like are checked.
The integrity and correctness checking conditions may be dynamically adjusted and extended. And after the verification is finished, the final confirmation is manually carried out in a preview mode.
On the basis of the above embodiment, after the step of configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs and constructing the digital twin unit corresponding to each structure, the method further includes:
acquiring sensor data and external data associated with each structure according to the configuration of the attribute of the digital twin unit corresponding to each structure;
and calling a data analysis function associated with the attribute of the digital twin unit corresponding to each structure according to the sensor data and the external data associated with each structure to obtain a data analysis result corresponding to each structure.
Configured to the attribute of the digital twin unit corresponding to each structure are the sensor code and external file information corresponding to the structure.
After the digital twin of the bridge is constructed, sensor data is accessed through sensor coding, external data is correlated through external file information, and a correlated data analysis function is called for analysis, so that the digital twin application can be issued.
For example, the sensor data of the bridge pier is accessed, and the bridge pier settlement analysis simulation function is called to analyze the settlement of the bridge pier.
The digital twin application can be used as an independent system for large-screen, computer, mobile phone and other terminals, and can also be used as a functional module integrated application of other bridge maintenance application systems.
As shown in fig. 2, a complete flow chart of this embodiment is that a bridge structure is classified, digital twin units are divided, then a corresponding digital twin unit attribute is defined for each class, and finally, for a bridge requiring digital twin construction, the digital twin unit attribute configuration is performed for the structure of each class, so that the digital twin construction of the bridge can be completed. After the construction is completed, the digital twins are checked and issued.
The bridge maintenance digital twin body construction device provided by the invention is described below, and the bridge maintenance digital twin body construction device described below and the bridge maintenance digital twin body construction method described above can be referred to in a corresponding manner. Therefore, the descriptions and definitions in the foregoing embodiments of the bridge maintenance digital twin construction method may be used for understanding the execution modules in the embodiments of the present invention.
As shown in fig. 3, the apparatus includes a determining module 301 and a constructing module 302; wherein:
the determining module 301 is configured to classify the structure of the bridge and determine the attribute of the digital twin unit corresponding to each class.
Optionally, the structure of the bridge is divided into several categories according to the professional structure and maintenance service requirements of the bridge. And determining the digital twin design of each type of structure by classifying the structure of the bridge.
The structural category of the bridge can be dynamically added or modified along with the deep cognition of the bridge digital twin or the expansion of the application.
The structure of each class has a consistent digital twin unit attribute, the corresponding digital twin unit attribute being predefined for the structure of each class.
The digital twin unit attribute corresponding to the structure of each category can be dynamically added or modified along with the deep cognition or the expansion of the application of the bridge digital twin body.
And searching the digital twin unit attribute corresponding to the category according to the category of each structure of the bridge.
The building module 302 is configured to configure the attribute of the digital twin unit corresponding to the category to which each structure belongs, and build the digital twin unit corresponding to each structure.
For each structure of the bridge, all digital twin unit attributes corresponding to the category to which each structure belongs do not need to be set, and only relevant attributes conforming to the characteristics of the structure can be set as required.
The attributes of the digital twin units corresponding to the category to which each structure belongs can be displayed on an interface, and a user can configure the attributes according to actual conditions.
In the embodiment, the bridge structures are classified, corresponding digital twin unit attributes are pre-constructed for each type of bridge structure, when the digital twin unit of each structure of the bridge is constructed, only the digital twin unit attribute corresponding to the type to which each structure belongs needs to be configured, and only once development is needed, so that the digital twin unit can be suitable for construction of digital twin bodies of various bridges, the reusability is high, the development workload is reduced, and the construction efficiency of the digital twin bodies of the bridge is improved; and the digital twin unit attributes corresponding to the bridge structure type and the type can be dynamically expanded according to the needs, and the expandability and the universality are strong, so that maintenance service data superposition, state display and behavior analysis prediction under different model scenes can be better performed, and the specifications are provided for the construction of the digital twin.
Fig. 4 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 4: a processor (processor) 410, a communication Interface (Communications Interface) 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are in communication with each other via the communication bus 440. Processor 410 may invoke logic instructions in memory 430 to perform a bridge maintenance digital twin construction method comprising: classifying the structure of the bridge, and determining the attribute of the digital twin unit corresponding to each class; and configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs, and constructing the digital twin unit corresponding to each structure.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, the present invention further provides a computer program product, where the computer program product includes a computer program, the computer program may be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer is capable of executing the bridge maintenance digital twin construction method provided by the above methods, and the method includes: classifying the structure of the bridge, and determining the attribute of the digital twin unit corresponding to each class; and configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs, and constructing the digital twin unit corresponding to each structure.
In yet another aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to execute the bridge maintenance digital twin construction method provided by the above methods, the method including: classifying the structure of the bridge, and determining the attribute of the digital twin unit corresponding to each class; and configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs, and constructing the digital twin unit corresponding to each structure.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on the understanding, the above technical solutions substantially or otherwise contributing to the prior art may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A bridge maintenance digital twin construction method is characterized by comprising the following steps:
classifying the structure of the bridge, and determining the attribute of the digital twin unit corresponding to each class;
and configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs, and constructing the digital twin unit corresponding to each structure.
2. The method for constructing the digital twin for bridge maintenance according to claim 1, wherein the step of classifying the structure of the bridge comprises:
and classifying the structures of the bridge according to the position relation among the structures of the bridge, the functions and the characteristics of the structures.
3. The bridge maintenance digital twin construction method according to claim 2, wherein the step of classifying the structure of the bridge according to the positional relationship between the structures of the bridge, the role and the feature of the structure comprises:
dividing the structures of the bridge into a plurality of first categories according to the position relationship among the structures of the bridge;
dividing the structure of each first class into a plurality of second classes according to the function of the structure of each first class;
dividing the structure of each second category into a plurality of third categories according to the characteristics of the structure of each second category;
the step of determining the attribute of the digital twin unit corresponding to each category comprises:
and determining the attribute of the digital twin unit corresponding to each third category.
4. The bridge maintenance digital twin construction method according to claim 1, wherein the attributes of the digital twin unit corresponding to each category include a geometric model, a data model, an action model, a rule model, a business model and a mechanism simulation model;
the geometric model includes two-dimensional attributes and three-dimensional attributes;
the data model comprises static data, perception data, control data and artificial data;
the static data comprises basic attributes, position attributes and relationship attributes;
the motion model comprises a perception motion and a control motion;
the rule model includes abnormal alarms and conditional operations;
the business model comprises daily inspection, regular maintenance and disease repair.
5. The bridge maintenance digital twin construction method according to claim 4, wherein the attributes of the digital twin unit corresponding to the category to which each structure belongs are configured, and the step of constructing the digital twin unit corresponding to each structure comprises:
configuring a CAD drawing of each structure for the two-dimensional attributes;
configuring a BIM model and/or other three-dimensional models of each structure for the three-dimensional attributes;
configuring one or more of name, serial number, specification, size, text description and picture image of each structure for the basic attributes;
configuring GIS coordinates and/or a position relative to an origin of each structure for the position attributes;
configuring the relationship attributes of each structure and other structures of the bridge for the relationship attributes;
configuring sensor codes of each structure on the perception data;
configuring the control data with adjustable attributes;
the manual data is configured through manual input or imported by a third-party system;
configuring a perception function for the perception action;
configuring a control function for the control action;
configuring an abnormal alarm function for the abnormal alarm;
configuring a function for triggering a corresponding action when the attribute meets a preset condition for the condition operation;
configuring a daily inspection business process for the daily inspection;
configuring a regular maintenance business process for the regular maintenance;
configuring a disease repair business process for the disease repair;
and configuring a mechanism analysis algorithm or a mechanism analysis simulation platform for the mechanism simulation model.
6. The bridge maintenance digital twin construction method according to any one of claims 1 to 5, wherein after the step of configuring the attributes of the digital twin unit corresponding to the category to which each structure belongs and constructing the digital twin unit corresponding to each structure, the method further comprises:
and checking the integrity and correctness of the attribute of the digital twin unit corresponding to each structure.
7. The bridge maintenance digital twin construction method according to any one of claims 1 to 5, wherein after the step of configuring the attributes of the digital twin unit corresponding to the category to which each structure belongs and constructing the digital twin unit corresponding to each structure, the method further comprises:
acquiring sensor data and external data associated with each structure according to the configuration of the attribute of the digital twin unit corresponding to each structure;
and calling a data analysis function associated with the attribute of the digital twin unit corresponding to each structure according to the sensor data and the external data associated with each structure to obtain a data analysis result corresponding to each structure.
8. The utility model provides a digital twin body construction equipment of bridge maintenance which characterized in that includes:
the determining module is used for classifying the structure of the bridge and determining the attribute of the digital twin unit corresponding to each class;
and the construction module is used for configuring the attribute of the digital twin unit corresponding to the category to which each structure belongs and constructing the digital twin unit corresponding to each structure.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the bridge maintenance digital twin construction method according to any one of claims 1 to 7.
10. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program when executed by a processor implements the bridge maintenance digital twin construction method according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116227010A (en) * | 2023-05-10 | 2023-06-06 | 中国公路工程咨询集团有限公司 | Construction method and system of highway maintenance digital twin application system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113111201A (en) * | 2021-04-19 | 2021-07-13 | 北京航空航天大学 | Digital twin model lightweight method and system |
| 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 |
-
2023
- 2023-02-15 CN CN202310114191.3A patent/CN115982828B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113111201A (en) * | 2021-04-19 | 2021-07-13 | 北京航空航天大学 | Digital twin model lightweight method and system |
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| 胡耀义;: "智能油气田数字孪生体建设关键技术研究", 工程技术研究 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116227010A (en) * | 2023-05-10 | 2023-06-06 | 中国公路工程咨询集团有限公司 | Construction method and system of highway maintenance digital twin application system |
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