CN115830805A - Highway slope monitoring and early warning system and equipment based on digital twin - Google Patents
Highway slope monitoring and early warning system and equipment based on digital twin Download PDFInfo
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- CN115830805A CN115830805A CN202211300070.XA CN202211300070A CN115830805A CN 115830805 A CN115830805 A CN 115830805A CN 202211300070 A CN202211300070 A CN 202211300070A CN 115830805 A CN115830805 A CN 115830805A
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Abstract
The invention provides a road slope monitoring and early warning system and device based on digital twins. The system comprises: the system comprises a physical entity module, a virtual model module, a service module, a twin data module and a connection module. The invention efficiently reflects the real-time state of the road slope through the virtual digital twin, realizes the simulation of the overall catastrophe process, the publishing of early warning information and the prevention and control decision preview planning, can realize the visualization of the overall catastrophe evolution process of the three-dimensional road slope, improves the slope disaster risk prediction precision and obviously improves the risk prevention and control level of the road slope engineering.
Description
Technical Field
The embodiment of the invention relates to the technical field of slope disaster risk prevention and control, in particular to a road slope monitoring and early warning system and device based on digital twins.
Background
The highway is used as the most basic and extensive traffic infrastructure and is an important guarantee for connecting other various transportation modes and playing the transportation efficiency of the comprehensive traffic network. With the increase of the foundation construction strength, the highway construction is developed rapidly, and the slope stability in the related highway slope prevention and control construction also faces challenges. In the construction and operation process of the highway side slope, side slope disasters occur occasionally, and the life and property safety of people along the highway is seriously threatened. At present, the highway side slope disaster prevention and control mainly stays in a theoretical research stage, the side slope stability is judged depending on engineering experience, the dynamic process of the side slope is difficult to monitor in real time, and an early warning system which can be used for real highway side slope disasters is lacked. And a twin virtual side slope parallel to the real road side slope is established, and the landform and geomorphic characteristics of the side slope, the planning construction of the side slope engineering, the management operation and the like are simulated in a virtual space, so that the level of preventing and controlling the side slope disaster risks can be improved, and the resource waste is reduced. With the improvement of the scientific and technical level, the Digital Twin technology is distinguished in the aspects of monitoring and early warning of engineering disasters. Therefore, it is an urgent technical problem to be solved in the industry to develop a digital twin-based highway slope monitoring and early warning system and device, which can effectively overcome the above-mentioned defects in the related art.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention provides a road slope monitoring and early warning system and device based on digital twins.
In a first aspect, an embodiment of the present invention provides a digital twin-based highway slope monitoring and early warning system, including: the physical entity module is basic space information of a real highway side slope, static information of the highway side slope is collected and processed by adopting technologies such as remote sensing and the like, and dynamic change of a natural environment where the highway side slope is located is obtained by adopting intelligent sensing equipment; the virtual model module maps static information and dynamic changes of real highway slopes into a digital twin highway slope realistic model one by one through building information modeling, and the constructed three-dimensional highway slope realistic model can accurately sense slope changes and is reflected into the virtual model module in real time through the connecting module; the service module is a practical application of a digital twin highway slope model and is used for issuing highway slope disaster early warning information and prevention and control decisions in time, dynamic monitoring and catastrophe early warning on highway slope safety are realized based on an established highway slope intelligent control system, a highway slope catastrophe evolution process is integrally mastered through scientific calculation, highway slope risk classification is realized, and optimal prevention and control measures are formulated; the twin data module is a construction basis of the digital twin highway slope, comprises the steps of receiving, processing and transmitting data, integrates multi-element heterogeneous data from a physical entity module, a virtual model module and a service module through establishing a data storage management platform and through a data mining and fusion technology, presents a dynamic slope development process in a visual form by means of high-performance data analysis, and inverts a spatial scene of the slope; and the connection module is used for realizing timely transmission and updating of data through a fully-accessed mobile internet and other cooperative high-speed networks.
On the basis of the contents of the system embodiment, the digital twin-based highway slope monitoring and early warning system provided by the embodiment of the invention has the advantages that the static information in the physical entity module comprises landform and landform, rock and soil body parameters, highway traffic and building distribution, and the dynamic change comprises the change of the natural environment of the highway slope.
On the basis of the content of the system embodiment, the road slope monitoring and early warning system based on digital twinning provided in the embodiment of the present invention, where the landform is the geometric shape information of the road slope, includes: a planar form, a vertical cross-sectional form, and a longitudinal cross-sectional form; the plane form is the projection form of the landform form of the road side slope on a plane coordinate system; the vertical section forms comprise a side slope shape, a side slope length and a side slope; the profile in longitudinal section includes the pull-up voltage and the size of the longitudinal section.
On the basis of the content of the system embodiment, the road slope monitoring and early warning system based on digital twin provided in the embodiment of the invention comprises the following components, wherein the rock-soil body parameters are basic physical parameters of rock-soil body materials forming the road slope: rock-soil body strength, pore water pressure, seepage coefficient and heat transfer characteristics.
On the basis of the content of the system embodiment, the road traffic and building distribution is the spatial geographical position of the road traffic track and the building relative to the side slope.
On the basis of the content of the system embodiment, the road slope monitoring and early warning system based on the digital twin provided in the embodiment of the invention comprises a virtual model module and a virtual model module, wherein the virtual model module comprises: the road slope catastrophe overall process visualization module is used for inverting the running conditions of the road slope in different natural environments in real time through a large-deformation numerical simulation method based on the constructed three-dimensional live-action model; and the stability and risk evaluation module is used for analyzing disaster-causing factors of the highway side slope disasters through artificial intelligence and determining the easiness degree of the highway side slope disasters and potential landslide risks by combining a landslide stability analysis method, wherein the landslide risks comprise landslide migration distance, movement speed and stacking thickness and the influence range of the bearing body.
On the basis of the content of the above system embodiment, the road slope monitoring and early warning system based on digital twin provided in the embodiment of the present invention further includes: the highway slope catastrophe early warning module is based on timely feedback of the twin data module, adopts an artificial intelligence method to establish an early warning system of a highway slope, and improves efficient transmission of slope disaster early warning information through wireless transmission.
On the basis of the content of the above system embodiment, the road slope monitoring and early warning system based on digital twin provided in the embodiment of the present invention further includes: the highway side slope disaster prevention and control module is used for collecting engineering examples of successful prevention and control of existing highway side slope disasters through a big data technology, establishing a corresponding prevention and control database, analyzing and calculating optimal prevention and control measures in the existing prevention and control database through a machine learning algorithm immediately after the stability and risk assessment module assesses the incident degree and potential landslide risk of the side slope disasters, and transmitting optimal strategies to the virtual model module through the connection module to realize visual verification of the highway side slope disaster prevention and control.
In a second aspect, an embodiment of the present invention provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the digital twin-based highway slope monitoring and early warning system provided by any one of the various implementation manners of the first aspect.
In a third aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to implement the digital twin-based highway slope monitoring and warning system provided in any one of the various implementation manners of the first aspect.
The road slope monitoring and early warning system and device based on the digital twin provided by the embodiment of the invention can efficiently reflect the real-time state of the road slope through the virtual digital twin, realize the simulation of the overall catastrophe process, the publishing of early warning information and the prevention decision preview planning, realize the visualization of the overall catastrophe process of the three-dimensional road slope, improve the slope disaster risk prediction precision and obviously improve the risk prevention and control level of the road slope project.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description will be given below to the drawings required for the description of the embodiments or the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a digital twin-based highway slope monitoring and early warning system according to an embodiment of the present invention;
fig. 2 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention;
fig. 3 is a schematic view of an operation flow of a digital twin-based highway slope monitoring and early warning system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In addition, technical features of various embodiments or individual embodiments provided by the present invention may be arbitrarily combined with each other to form a feasible technical solution, and such combination is not limited by the sequence of steps and/or the structural composition mode, but must be realized by a person skilled in the art, and when the technical solution combination is contradictory or cannot be realized, such a technical solution combination should not be considered to exist and is not within the protection scope of the present invention.
The embodiment of the invention provides a road slope monitoring and early warning system based on digital twins, and the system comprises the following components in percentage by weight, as shown in figure 1: the physical entity module is basic space information of a real highway side slope, static information of the highway side slope is collected and processed by adopting technologies such as remote sensing and the like, and dynamic change of a natural environment where the highway side slope is located is obtained by adopting intelligent sensing equipment; the virtual model module maps static information and dynamic changes of real highway slopes into a digital twin highway slope realistic model one by one through building information modeling, and the constructed three-dimensional highway slope realistic model can accurately sense slope changes and is reflected into the virtual model module in real time through the connecting module; the service module is a practical application of a digital twin highway slope model and is used for issuing highway slope disaster early warning information and prevention and control decisions in time, dynamic monitoring and catastrophe early warning on highway slope safety are realized based on an established highway slope intelligent control system, a highway slope catastrophe evolution process is integrally mastered through scientific calculation, highway slope risk classification is realized, and optimal prevention and control measures are formulated; the twin data module is a construction basis of a digital twin highway slope and comprises data receiving, processing and transmitting, a data storage management platform is established, multi-element heterogeneous data from a physical entity module, a virtual model module and a service module are integrated through a data mining and fusion technology, and a slope dynamic development process is presented in a visual form by means of high-performance data analysis to invert a spatial scene of the slope; and the connecting module is used for realizing the timely transmission and updating of data through a fully accessed mobile internet and other cooperative high-speed networks.
Based on the content of the system embodiment, as an optional embodiment, in the digital twin-based highway slope monitoring and early warning system provided in the embodiment of the present invention, the static information in the physical entity module includes landform and landform, rock and soil body parameters, highway traffic and building distribution, and the dynamic change includes a change of a natural environment where the highway slope is located.
Based on the content of the foregoing system embodiment, as an optional embodiment, the road slope monitoring and early warning system based on digital twinning provided in the embodiment of the present invention, where the topographic features are geometric shape information of the road slope, includes: a planar form, a vertical cross-sectional form, and a longitudinal cross-sectional form; the plane form is the projection form of the landform form of the road side slope on a plane coordinate system; the vertical section forms comprise a side slope shape, a side slope length and a side slope; the profile includes a vertical cross-sectional shape and a vertical cross-sectional size.
Based on the content of the above system embodiment, as an optional embodiment, the road slope monitoring and early warning system based on digital twin provided in the embodiment of the present invention, where the rock-soil body parameters are basic physical parameters of rock-soil body materials forming the road slope, includes: rock-soil body strength, pore water pressure, seepage coefficient and heat transfer characteristics.
Based on the content of the above system embodiment, as an optional embodiment, in the road slope monitoring and early warning system based on the digital twin provided in the embodiment of the present invention, the road traffic and the building distribution are spatial geographical positions of the road traffic track and the building relative to the slope.
Based on the content of the above system embodiment, as an optional embodiment, the road slope monitoring and early warning system based on digital twin provided in the embodiment of the present invention, the virtual model module includes: the road slope catastrophe overall process visualization module is used for inverting the running conditions of the road slope in different natural environments in real time through a large-deformation numerical simulation method based on the constructed three-dimensional live-action model; and the stability and risk evaluation module is used for analyzing disaster-causing factors of the highway side slope disasters through artificial intelligence and determining the easiness degree of the highway side slope disasters and potential landslide risks by combining a landslide stability analysis method, wherein the landslide risks comprise landslide migration distance, movement speed and stacking thickness and the influence range of the bearing body.
Based on the content of the above system embodiment, as an optional embodiment, the road slope monitoring and early warning system based on digital twin provided in the embodiment of the present invention, the virtual model module further includes: the highway slope catastrophe early warning module is used for timely feeding back based on the twin data module, an artificial intelligence method is adopted to establish an early warning system of the highway slope, and high-efficiency transmission of slope disaster early warning information is improved through wireless transmission.
Based on the content of the above system embodiment, as an optional embodiment, the road slope monitoring and early warning system based on digital twin provided in the embodiment of the present invention, the virtual model module further includes: the highway side slope disaster prevention and control module is used for collecting engineering examples of successful prevention and control of existing highway side slope disasters through a big data technology, establishing a corresponding prevention and control database, analyzing and calculating optimal prevention and control measures in the existing prevention and control database through a machine learning algorithm immediately after the stability and risk assessment module assesses the incident degree and potential landslide risk of the side slope disasters, and transmitting optimal strategies to the virtual model module through the connection module to realize visual verification of the highway side slope disaster prevention and control.
The road slope monitoring and early warning system and device based on the digital twin provided by the embodiment of the invention can efficiently reflect the real-time state of the road slope through the virtual digital twin, realize the simulation of the overall catastrophe process, the publishing of early warning information and the prevention decision preview planning, realize the visualization of the overall catastrophe process of the three-dimensional road slope, improve the slope disaster risk prediction precision and obviously improve the risk prevention and control level of the road slope project.
In another embodiment, as shown in fig. 1, a digital twin-based highway slope monitoring and early warning system comprises a physical entity module 1, a virtual model module 2, a service module 3, a twin data module 4 and a connection module 5.
Physical entity module 1: the method is characterized in that the basic space information of the real highway side slope is acquired, static information (landform, earth and earth body parameters, highway traffic, building distribution and the like) of the highway side slope is collected and processed by using technologies such as remote sensing and the like, and dynamic change of the natural environment where the highway side slope is located is acquired by adopting intelligent sensing equipment. Wherein, the landform is the geometric shape information of the highway side slope, namely the plane shape, the vertical section shape and the longitudinal section shape; the plane form is the projection form of the landform form of the road side slope on a plane coordinate system; the vertical section forms comprise a side slope shape, a long side slope, a slope and the like. The longitudinal section configuration includes relief features, size, and the like. The rock-soil body parameters are basic physical parameters of rock-soil body materials forming the highway slope, such as strength, pore water pressure, permeability coefficient, heat transfer characteristics and the like. Road traffic and building distribution mainly refers to the spatial and geographical positions of road traffic tracks and building buildings relative to a side slope. The dynamic change of the natural environment mainly comprises rainfall, air temperature, earthquake and the like.
Virtual model module 2: namely a three-dimensional live-action model of the road slope. Static information and dynamic changes of the real road side slopes are mapped into the digital twin road side slope real-scene model one by one through a building information modeling technology. The constructed three-dimensional highway side slope real-scene model can accurately sense the change condition of the side slope and reflects the change condition to the virtual model module in real time through the connection module.
The service module 3: and (3) practical application of the digital twin highway slope model. By establishing an intelligent highway side slope control system, dynamic monitoring, disaster early warning and the like of the safety of the highway side slope are realized, the disaster evolution process of the highway side slope is integrally mastered through scientific calculation, the side slope disaster mechanism is known, the risk classification of the highway side slope is realized, and the optimal prevention and control measures are formulated. The service module mainly comprises a catastrophe overall process visualization module, a stability and risk assessment module, a road slope catastrophe early warning module and a road slope disaster prevention and control module. The road slope catastrophe overall process visualization module is used for inverting the running conditions of the road slope under different natural environments in real time through a large-deformation numerical simulation method based on the constructed three-dimensional live-action model; the stability and risk assessment module analyzes disaster causing factors of the highway side slope disasters through an artificial intelligence technology and determines the susceptibility of the highway side slope disasters and potential landslide risks by combining a landslide stability analysis method. Landslide risks mainly include landslide migration distance, movement speed and stacking thickness, and the influence range of the bearer (road traffic and building construction); the highway side slope catastrophe early warning module is based on the timely feedback of a twin data module, establishes a highway side slope early warning system by using an artificial intelligence method, and improves the high-efficiency transmission of side slope disaster early warning information through wireless transmission; the highway side slope disaster prevention and control module collects engineering examples of successful prevention and control of existing highway side slope disasters through a big data technology and establishes a corresponding prevention and control database, and after the stability and risk assessment module assesses the easiness degree of the side slope disasters and the potential landslide risks, the disaster prevention and control module immediately analyzes and calculates optimal prevention and control measures in the existing prevention and control database through a machine learning algorithm. Meanwhile, the optimal strategy is transmitted to the virtual model module through the connection module to realize the visual verification of the highway slope disaster prevention and control.
Twin data module 4: the construction foundation of the digital twin highway slope mainly comprises the steps of receiving, processing and transmitting data. By establishing a data storage management platform, integrating multi-element heterogeneous data from a physical entity module, a virtual model module and a service module through a data mining and fusion technology, presenting a dynamic development process of the side slope in a visual form by means of high-performance data analysis, and inverting a spatial scene of the side slope.
The connection module 5: the data transmission and updating in time are realized through a full-access mobile internet and other collaborative high-speed networks.
Referring to fig. 3, the operation process of the digital twin-based highway slope monitoring and early warning system includes:
specific information such as landforms, road traffic, building and the like of a road slope of the physical entity module 1 is acquired through a remote sensing technology, rock-soil body parameters and information of natural environment (hydrogeological conditions and the like) are acquired based on a geological survey report, collected information is processed by a big data means, and a physical entity module database is established. A plurality of monitoring points are arranged at proper positions of the road side slope, and sensors (a temperature sensor, a displacement sensor, a shock detector, a soil moisture sensor and the like) are arranged to comprehensively monitor the change condition of the natural environment (temperature, displacement, earthquake, rainfall and the like) of the side slope. And the basic information of the road slope and the sensor monitoring data are transmitted to the twin data module 4 for storage and management through the connecting module 5.
Calling the highway side slope space information obtained in the step 1 from the twin data module 4, and constructing a highway side slope three-dimensional real scene model (a virtual model module 2) by a building information modeling technology; the actual running condition of the side slope is fed back to the virtual model module in real time through data transmission of the connection module 5 by accurately sensing the change of a sensor of a monitoring point of the highway side slope, so that the real-time dynamic three-dimensional visualization of the highway side slope is realized.
The running state of the road slope is monitored in real time through a digital twin model, and the running conditions of the road slope under different natural environments are inverted in real time through a large-deformation numerical simulation method based on a module 1 (a catastrophe overall process visual module) in a virtual model module 2. Based on the module 2 (stability and risk assessment module) in the virtual model module 2, disaster-causing factors of the highway side slope disasters are analyzed through an artificial intelligence technology, and the easiness degree of the highway side slope disasters and potential landslide risks are determined by combining a landslide stability analysis method. The landslide risk mainly comprises the landslide migration distance, the movement speed and the stacking thickness, and the influence range on a bearing body (road traffic and building buildings). Based on a module 3 (catastrophe early warning module) in the virtual model module 2, an early warning system of the highway side slope is established by an artificial intelligence method according to the timely feedback of the twin data module 4, and the high-efficiency transmission of the side slope disaster early warning information is improved through wireless transmission. Based on a module 4 (disaster prevention and control module) in the virtual model module 2, engineering examples of successful prevention and control of existing highway slope disasters are collected through a big data technology, a corresponding prevention and control database is established, and after the module 3 evaluates the incidence degree and potential landslide risk of the slope disasters, the disaster prevention and control module immediately analyzes and deduces optimal highway slope disaster prevention and control measures in the existing prevention and control database through a machine learning algorithm and is based on visual verification of the highway slope disaster prevention and control of the digital twin model.
Through scientific calculation and decision analysis of the virtual model module 2, early warning information, prevention and control decisions and the like of highway slope disasters are timely issued to the service module 3 by the connection module 5.
The system of the embodiment of the invention is realized by depending on the electronic equipment, so that the related electronic equipment is necessarily introduced. To this end, an embodiment of the present invention provides an electronic apparatus, as shown in fig. 2, including: the system comprises at least one processor (processor), a communication Interface (communication Interface), at least one memory (memory) and a communication bus, wherein the at least one processor, the communication Interface and the at least one memory are communicated with each other through the communication bus. The at least one processor may invoke logic instructions in the at least one memory to implement the various systems provided in the system embodiments.
In addition, the logic instructions in the at least one memory may be implemented in software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product. 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 to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the system 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.
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 the present 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. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to implement the methods or systems of the various embodiments or portions of the embodiments.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. Based on this recognition, each block in the flowchart or block diagrams may represent a module, a program segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
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. The utility model provides a highway slope monitoring and early warning system based on digit twin, its characterized in that includes: the physical entity module is basic space information of a real highway side slope, static information of the highway side slope is collected and processed by adopting technologies such as remote sensing and the like, and dynamic change of a natural environment where the highway side slope is located is obtained by adopting intelligent sensing equipment; the virtual model module maps static information and dynamic changes of real highway slopes into a digital twin highway slope realistic model one by one through building information modeling, and the constructed three-dimensional highway slope realistic model can accurately sense slope changes and is reflected into the virtual model module in real time through the connecting module; the service module is a practical application of a digital twin highway slope model and is used for issuing highway slope disaster early warning information and prevention and control decisions in time, dynamic monitoring and catastrophe early warning on highway slope safety are realized based on an established highway slope intelligent control system, a highway slope catastrophe evolution process is integrally mastered through scientific calculation, highway slope risk classification is realized, and optimal prevention and control measures are formulated; the twin data module is a construction basis of a digital twin highway slope and comprises data receiving, processing and transmitting, a data storage management platform is established, multi-element heterogeneous data from a physical entity module, a virtual model module and a service module are integrated through a data mining and fusion technology, and a slope dynamic development process is presented in a visual form by means of high-performance data analysis to invert a spatial scene of the slope; and the connection module is used for realizing timely transmission and updating of data through a fully-accessed mobile internet and other cooperative high-speed networks.
2. The digital twin-based highway slope monitoring and warning system according to claim 1, wherein the static information in the physical entity module comprises terrain and landform, rock and earth parameters, highway traffic and building distribution, and the dynamic change comprises the change of the natural environment of the highway slope.
3. The digital twin-based highway slope monitoring and early warning system as claimed in claim 2, wherein the landform is geometric shape information of the highway slope, comprising: a planar form, a vertical cross-sectional form, and a longitudinal cross-sectional form; the plane form is the projection form of the landform form of the road side slope on a plane coordinate system; the vertical section forms comprise a side slope shape, a side slope length and a side slope; the profile in longitudinal section includes the pull-up voltage and the size of the longitudinal section.
4. The digital twin-based highway slope monitoring and early warning system according to claim 3, wherein the rock-soil body parameters are basic physical parameters of rock-soil body materials constituting the highway slope, and comprise: rock-soil body strength, pore water pressure, seepage coefficient and heat transfer characteristics.
5. The digital twin based highway slope monitoring and warning system of claim 4 wherein said highway traffic and building distribution is the spatial geographical location of highway traffic tracks and building buildings relative to a slope.
6. The digital twin-based highway slope monitoring and early warning system according to claim 5, wherein the virtual model module comprises: the road slope catastrophe overall process visualization module is used for inverting the running conditions of the road slope in different natural environments in real time through a large-deformation numerical simulation method based on the constructed three-dimensional live-action model; and the stability and risk evaluation module is used for analyzing disaster-causing factors of the highway side slope disasters through artificial intelligence and determining the easiness degree of the highway side slope disasters and potential landslide risks by combining a landslide stability analysis method, wherein the landslide risks comprise landslide migration distance, movement speed and accumulation thickness and the influence range of the bearing body.
7. The digital twin-based highway slope monitoring and early warning system according to claim 6, wherein the virtual model module further comprises: the highway slope catastrophe early warning module is based on timely feedback of the twin data module, adopts an artificial intelligence method to establish an early warning system of a highway slope, and improves efficient transmission of slope disaster early warning information through wireless transmission.
8. The digital twin-based highway slope monitoring and warning system according to claim 7, wherein the virtual model module further comprises: the highway side slope disaster prevention and control module is used for collecting engineering examples of successful prevention and control of existing highway side slope disasters through a big data technology, establishing a corresponding prevention and control database, analyzing and calculating optimal prevention and control measures in the existing prevention and control database through a machine learning algorithm immediately after the stability and risk assessment module assesses the incident degree and potential landslide risks of the side slope disasters, and transmitting the optimal strategy to the virtual model module through the connection module to realize visual verification of the highway side slope disaster prevention and control.
9. An electronic device, comprising:
at least one processor, at least one memory, a communication interface, and a bus; wherein the content of the first and second substances,
the processor, the memory and the communication interface complete mutual communication through the bus;
the memory stores program instructions executable by the processor, which are invoked by the processor to implement the system of any one of claims 1 to 8.
10. A non-transitory computer-readable storage medium storing computer instructions that cause a computer to implement the system of any one of claims 1 to 8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116665422A (en) * | 2023-05-29 | 2023-08-29 | 广西交通设计集团有限公司 | Highway side slope falling stone risk monitoring and early warning system |
| CN117332664A (en) * | 2023-12-01 | 2024-01-02 | 北京云庐科技有限公司 | Geological disaster digital twin live-action display method based on physical calculation result |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116665422A (en) * | 2023-05-29 | 2023-08-29 | 广西交通设计集团有限公司 | Highway side slope falling stone risk monitoring and early warning system |
| CN116665422B (en) * | 2023-05-29 | 2024-03-29 | 广西交通设计集团有限公司 | Highway side slope falling stone risk monitoring and early warning system |
| CN117332664A (en) * | 2023-12-01 | 2024-01-02 | 北京云庐科技有限公司 | Geological disaster digital twin live-action display method based on physical calculation result |
| CN117332664B (en) * | 2023-12-01 | 2024-02-09 | 北京云庐科技有限公司 | Geological disaster digital twin live-action display method based on physical calculation result |
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