Urban-oriented digital twin multi-scale element modeling method and deduction analysis method

Abstract

The invention provides a city-oriented digital twinborn multi-scale element modeling method and a city-oriented digital twinborn multi-scale element deduction analysis method. The modeling method comprises the following steps: establishing a digital twinborn model of each city element under a microscopic scale; establishing a digital twin model of each city function system under the city system scale; establishing an association relationship between the city element digital twin models under the microscopic scale, and establishing an association relationship between nodes of the city function system digital twin models under the city system scale; and dividing the target city into a plurality of grids with the same size according to a preset demand, and establishing an association relationship between the grids and each city element digital twinborn model under the micro scale and each city function system digital twinborn model under the city system scale according to the spatial position to obtain a multi-scale digital twinborn system. According to the method, the technical problems of single scale and lack of systematicity of the digital twinborn model in the current digital twinborn application can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital twin modeling, and in particular to a city-oriented digital twin multi-scale element modeling method and a deduction and analysis method. Background Art

[0002] With the rapid development and improvement of digital twin technology, more and more cities have begun to explore and apply digital twin technology to improve urban management and public utility services. Digital twin technology establishes a digital model of the city to achieve real-time monitoring and prediction of the city's operating status, providing accurate and reliable data support for city managers, and has a wide range of applications in smart parks, smart transportation and other fields.

[0003] However, the current application of urban digital twins has the problem of single scale of digital twin models and lack of systematicity. Existing digital twin modeling methods often only model at a single scale. For example, when modeling urban digital twins, they only focus on the modeling of digital twins at micro scales such as buildings, vehicles, and pedestrians, but do not consider the modeling of digital twins at urban scales such as road edges and nodes. In addition, existing digital twin modeling methods often only focus on the modeling of a single system and ignore the coupling relationship between multiple systems. For example, they only focus on how to display various urban elements at the visualization level, but ignore the modeling of the coupling relationship between urban system elements such as power supply, communication, and transportation, and cannot effectively describe the overall operation mechanism and process of the city. The above problems greatly limit the application of digital twin modeling in complex urban systems. Summary of the invention

[0004] The present invention provides a city-oriented digital twin multi-scale element modeling method and a deduction and analysis method, which can solve the technical problems of the current digital twin applications, such as the single scale of the digital twin model and the lack of systematicity.

[0005] According to one aspect of the present invention, a method for multi-scale element modeling of digital twins for cities is provided, the method comprising:

[0006] According to the attribute data of several urban elements, a digital twin model of each urban element at a microscopic scale is established;

[0007] A digital twin model of each urban function system at the urban system scale is established based on the attribute data of several urban function systems and the relationship data between the nodes in each urban function system, where the urban function system is represented by edges and nodes in a complex network;

[0008] According to the attribute data of several urban elements and the attribute data of several urban functional systems, the association relationship between the digital twin models of various urban elements at the micro scale is established; according to the coupling relationship between several urban functional systems, the association relationship between the various nodes of the digital twin models of various urban functional systems at the urban system scale is established;

[0009] According to preset requirements, the target city is divided into several grids of the same size. According to the spatial position, the grids are associated with the digital twin models of each urban element at the micro scale and the digital twin models of each urban functional system at the urban system scale to obtain a multi-scale digital twin system.

[0010] Preferably, the city elements include people, buildings and vehicles, and the city element digital twin models include people digital twin models, building digital twin models and vehicle digital twin models.

[0011] Preferably, the attributes of the personnel digital twin model include id, name, location, address, and workplace, and behaviors include eating, working, and moving; the building digital twin model includes id, name, location, and number of service personnel, and behaviors include power outage, water outage, and collapse.

[0012] Preferably, the urban functional system includes a power system, a communication system, a water supply system, a gas system and a road system.

[0013] Preferably, the target city is divided into several grids of the same size according to preset requirements, and the grids are associated with the digital twin models of each urban element at the micro scale and the digital twin models of each urban functional system at the urban system scale according to the spatial positions, so that the multi-scale digital twin system is obtained, including:

[0014] Determine the grid size and shape based on business needs;

[0015] Divide the target city into several grids of the same size according to the grid size and shape;

[0016] According to the spatial position and the service scope of the nodes in the digital twin model of each urban functional system, each grid corresponds to at most one node in the digital twin model of a city functional system; according to the spatial position, each urban element corresponds to a unique grid; thereby establishing an association relationship between the grid and the digital twin models of each urban element at the micro scale and the digital twin models of each urban functional system at the urban system scale, and obtaining a multi-scale digital twin system.

[0017] Preferably, the grid is in a rectangular or hexagonal shape.

[0018] According to another aspect of the present invention, a deduction analysis method is provided, the method comprising:

[0019] Establish a multi-scale digital twin system;

[0020] Conduct deduction and analysis based on the established multi-scale digital twin system;

[0021] Among them, the multi-scale digital twin system is established using any of the above-mentioned methods.

[0022] According to another aspect of the present invention, a computer device is provided, comprising a memory, a processor, and a city-oriented digital twin multi-scale element modeling program stored in the memory and executable on the processor, wherein the processor implements any of the above-mentioned methods when executing the city-oriented digital twin multi-scale element modeling program.

[0023] By applying the technical solution of the present invention, the digital twin models of micro-scales such as buildings, vehicles, and pedestrians and the digital twin models of system nodes at the scale of the urban system are incorporated into the urban digital twin system, and a multi-scale urban digital twin system is constructed, which is closer to the operating mechanism of the urban complex system from the system level to the micro-level, so that the urban micro-scale elements and the urban system scale elements form an organic whole, which can more accurately describe the operating mechanism of the city and improve the digital twin city's ability to express and depict the real urban complex system; through the spatial position and logical belonging relationship, the association relationship between the urban system scale digital twin model and the micro-scale digital twin model is established, so that it is possible to analyze the influence mechanism of the urban system scale digital twin model on the micro-scale digital twin model. The multi-scale digital twin system established by the present invention opens up the relationship between twins of different scales, makes it possible to analyze the top-down urban scene analysis, and can simulate the process of urban disaster impact from the urban system scale to the urban micro-scale. It can be applied to the scenes of judging the development trend of disasters, formulating and optimizing disaster plans, and improving urban resilience, and provides a basis for deduction and analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The included drawings are used to provide a further understanding of the embodiments of the present invention, which constitute a part of the specification, are used to illustrate the embodiments of the present invention, and together with the text description, explain the principles of the present invention. Obviously, the drawings in the following description are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1 A flowchart of a city-oriented digital twin multi-scale element modeling method provided according to an embodiment of the present invention is shown;

[0026] Figure 2 A logic diagram of a city-oriented digital twin multi-scale element modeling method provided according to an embodiment of the present invention is shown;

[0027] Figure 3 A schematic diagram of a complex network representation of an urban functional system provided according to an embodiment of the present invention is shown;

[0028] Figure 4 A schematic diagram of a micro-scale digital twin model and its association relationship provided according to an embodiment of the present invention is shown;

[0029] Figure 5 A schematic diagram of digital twin models of different scales and their association relationships provided according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0030] It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other. The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0032] Unless otherwise specifically stated, the relative arrangement of the parts and steps described in these embodiments, numerical expressions and numerical values ​​do not limit the scope of the present invention. At the same time, it should be understood that, for ease of description, the sizes of the various parts shown in the accompanying drawings are not drawn according to the actual proportional relationship. The technology, method and equipment known to ordinary technicians in the relevant field may not be discussed in detail, but in appropriate cases, the technology, method and equipment should be regarded as a part of the authorization specification. In all examples shown and discussed here, any specific value should be interpreted as being merely exemplary, rather than as a limitation. Therefore, other examples of exemplary embodiments may have different values. It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once a certain item is defined in an accompanying drawing, it does not need to be further discussed in subsequent drawings.

[0033] like Figure 1 and Figure 2 As shown, the present invention provides a city-oriented digital twin multi-scale element modeling method, the method comprising:

[0034] S10, establishing a digital twin model of each urban element at a microscopic scale according to the attribute data of a number of urban elements;

[0035] S20. A digital twin model of each urban function system at the urban system scale is established based on the attribute data of several urban function systems and the relationship data between the nodes in each urban function system, wherein the urban function system is represented by edges and nodes in a complex network, such as Figure 3 As shown;

[0036] S30. Establishing the association relationship between the digital twin models of various urban elements at the micro scale based on the attribute data of several urban elements and the attribute data of several urban functional systems, and establishing the association relationship between the various nodes of the digital twin models of various urban functional systems at the urban system scale based on the coupling relationship between several urban functional systems; wherein the association relationship between the various nodes includes the association relationship between the various nodes of the digital twin model of the same urban functional system and the association relationship between the various nodes of the digital twin models of different urban functional systems;

[0037] S40. Divide the target city into several grids of the same size according to preset requirements, and establish associations between the grids and the digital twin models of each urban element at the micro scale and the digital twin models of each urban functional system at the urban system scale according to their spatial positions, so as to obtain a multi-scale digital twin system.

[0038] The present invention incorporates digital twin models of microscopic scales such as buildings, vehicles, and pedestrians and digital twin models of system nodes at the scale of urban systems into the urban digital twin system, constructs a multi-scale urban digital twin system, and is closer to the operating mechanism of urban complex systems from the system level to the microscopic level, so that urban microscopic scale elements and urban system scale elements form an organic whole, which can more accurately describe the operating mechanism of the city and improve the digital twin city's ability to express and depict real urban complex systems; through spatial position and logical belonging, the association between the urban system scale digital twin model and the microscopic scale digital twin model is established, making it possible to analyze the influence mechanism of the urban system scale digital twin model on the microscopic scale digital twin model. The multi-scale digital twin system established by the present invention opens up the relationship between twins of different scales, making it possible to analyze urban scenes from top to bottom, and can simulate the process of urban disaster impact propagation from the urban system scale to the urban microscopic scale. It can be applied to the scenarios of judging the development trend of disasters, formulating and optimizing disaster plans, and improving urban resilience, and provides a basis for deduction and analysis.

[0039] According to an embodiment of the present invention, Figure 2 As shown in the figure, the entire system includes digital twin models at two scales: urban system scale and micro scale. The digital twin model at the urban system scale includes various functional systems in the city, including power systems, communication systems, water supply systems, gas systems, and road systems. These systems can be represented by edges and nodes in complex networks.

[0040] Specifically, the nodes of the power system, communication system, water supply system, and gas system represent facilities, and the edges represent the relationships between the facilities; the nodes of the road system represent intersections, and the edges represent roads.

[0041] For example, taking the complex network representation of a communication system, such as Figure 3 As shown in Figure 2, the nodes in the communication system are divided into two categories: source nodes and demand nodes. Figure 3 In the figure, the source nodes are represented by solid circles and hollow circles respectively. The source nodes represent nodes that communicate with the outside world, such as 5G base stations that can connect to satellite communications. The demand nodes represent other nodes that need to connect to the source nodes to communicate with the outside world. They cannot communicate with the outside world by themselves, such as the routers in users' homes. Therefore, the source nodes can always communicate with the outside world, but if a demand node cannot connect to any source node, it cannot communicate.

[0042] According to an embodiment of the present invention, the micro-scale includes various conventional micro-scale urban digital twin models, wherein urban elements include personnel, buildings, and vehicles, etc. The urban element digital twin models include personnel digital twin models, building digital twin models, and vehicle digital twin models, etc. These digital twin models generally include attributes, behaviors, etc., and can be associated through belonging relationships. Figure 4 As shown in the figure, taking the association between a personnel digital twin model and two building digital twin models as an example, the personnel digital twin model has attributes such as id, name, location, address, workplace, and behaviors such as eating, working, and moving, where id is the global unique identifier of the personnel digital twin; the building digital twin model has attributes such as id, name, location, number of service personnel, and behaviors such as power outage, water outage, and collapse, where id is the global unique identifier of the building digital twin model. Digital twin models at the micro scale can be associated through belonging relationships. For example, personnel have attributes such as address and workplace, which means that the personnel digital twin model is associated with the building digital twin model through relationships such as residence and work. Attributes such as address and workplace are the global unique identifiers of buildings, pointing to the corresponding buildings, thus generating a relationship between the personnel digital twin model and the building digital twin model.

[0043] According to an embodiment of the present invention, in S40 of the present invention, the target city is divided into a number of grids of the same size according to preset requirements, and the grids are associated with the digital twin models of each urban element at the micro scale and the digital twin models of each urban functional system at the urban system scale according to the spatial positions, so that the multi-scale digital twin system is obtained, including:

[0044] S41. Determine the size and shape of the grid according to business requirements;

[0045] S42, dividing the target city into a number of grids of the same size according to the size and shape of the grids;

[0046] S43. According to the spatial position and the service scope of the nodes in the digital twin model of each urban functional system, each grid corresponds to at most one node in the digital twin model of a city functional system; according to the spatial position, each urban element corresponds to a unique grid; thereby establishing an association relationship between the grid and the digital twin model of each urban element at the micro scale and the digital twin model of each urban functional system at the urban system scale, and obtaining a multi-scale digital twin system.

[0047] Specifically, the grid is in a rectangular or hexagonal shape.

[0048] In this embodiment, if Figure 5As shown, the digital twin models of each system node in the urban system scale can be associated with the digital twin models at the micro scale through spatial position, so as to realize the propagation of disaster impact from the urban system scale to the micro scale. Here, the digital twin model at the urban system scale can be a digital twin model of any urban functional system represented by a complex network. The digital twin model of personnel and the digital twin model of buildings are selected as examples at the micro scale. On the basis of the mutual association of digital twin models at the same scale before, this embodiment adds a spatial position grid layer between the micro-scale digital twin model and the urban system scale digital twin model, and establishes an association relationship based on spatial position between the digital twin models of the two scales through the spatial position grid. To establish the spatial position grid layer, the grid size must first be determined according to specific business needs. The grid can be rectangular or hexagonal. Here, a rectangle is taken as an example. After determining the size and shape of the grid, the target city is divided into several grids according to the size and shape of the grid. For each urban functional system, each grid corresponds to at most one urban functional system node according to the spatial position and the service range of the node to which the system belongs. At the same time, each building will correspond to a unique grid according to the spatial position, so the relationship between the urban functional system node and the building is established through the grid. Similarly, personnel can also establish a spatially-based relationship with the urban functional system nodes, but it should be noted that personnel do not directly have a relationship with certain urban functional system nodes. For example, personnel will not directly use the electricity of the substation. The relationship between personnel and the substation is only indirectly realized through the building, but personnel will have a direct relationship with other urban systems, such as personnel and road system nodes.

[0049] The present invention also provides a deduction and analysis method, the method comprising:

[0050] Establish a multi-scale digital twin system;

[0051] Conduct deduction and analysis based on the established multi-scale digital twin system;

[0052] Among them, the multi-scale digital twin system is established using any of the above-mentioned methods.

[0053] Through the above process, a multi-scale urban digital twin system including urban system scale and micro scale is constructed. Based on this digital twin system, simulation and deduction of disaster effects at different scales can be carried out to optimize emergency plans and reduce economic losses. For example, in the following scenario: a fire in a substation causes power outages in buildings within its service area. At the same time, the power outage causes the water supply system and communication system to be unable to provide services. In addition, traffic lights fail due to lack of power supply, resulting in traffic congestion; people in the building cannot work normally, causing serious economic losses.

[0054] In order to have a further understanding of the present invention, the city-oriented digital twin multi-scale element modeling method and deduction and analysis method of the present invention are described in detail.

[0055] In this embodiment, the power, communication, and water supply systems are taken as the urban system scale analysis objects, and the personnel, residential buildings, and office buildings are taken as the micro-scale analysis objects. It is assumed that the disaster is a fire failure of a large substation (power system source node). The modeling and deduction analysis are carried out through the following steps:

[0056] Step 1: Collect data and create a digital twin model

[0057] The data of nodes of people, residential buildings, office buildings, electricity, communication, and water supply systems in the city are collected and corresponding digital twin models are created. The digital twin model of people contains information on residence and workplace. The digital twin models of residential buildings and office buildings contain fields for power supply system status, communication system status, and water supply system status, which are assigned the value of "normal" before the simulation.

[0058] Step 2: Establish the relationship between digital twin models at the same scale based on the ownership and coupling relationships

[0059] Associate the residence in the personnel digital twin model with the residential building where they live, and associate the workplace with the corresponding office building; establish the coupling influence relationship between the power supply system nodes and the water supply system nodes and the communication system nodes.

[0060] Step 3: Establish the relationship between digital twin models at different scales based on spatial position relationships

[0061] The city is spatially divided into several grids with a square grid side length of 1 km. The grids are associated with urban functional system nodes and buildings so that each grid corresponds to at most one urban functional system node and each building corresponds to a unique grid. Therefore, the power supply system status, communication system status, and water supply system status of each building are consistent with those of the corresponding grid.

[0062] Step 4: Use the established multi-scale city digital twin system to conduct deduction and analysis based on specific business needs

[0063] Determine the research indicators and their calculation methods according to the business scenario, and start the deduction. Select the disaster node (power system source node) to make it fail. The failure of the power source node causes all buildings within its service range to lose power. At the same time, the failure of the power system source node causes the failure of the associated water supply system nodes and communication nodes. As a result, the residential buildings and office buildings within the failure range are cut off from water, power, and communication, which in turn causes great inconvenience to the residents and the employees cannot work normally, resulting in economic losses. Calculate the research indicators separately and conduct quantitative analysis of the deduction results.

[0064] The present invention can be used for multi-system propagation simulation of urban disasters. After a city is hit by a disaster, node failure is propagated at the urban system scale according to the coupling relationship between system nodes, and ultimately affects buildings and personnel at the micro scale.

[0065] The present invention also provides a computer device, comprising a memory, a processor, and a city-oriented digital twin multi-scale element modeling program stored in the memory and runnable on the processor, wherein the processor implements any of the above-mentioned methods when executing the city-oriented digital twin multi-scale element modeling program.

[0066] In summary, the present invention provides a city-oriented digital twin multi-scale element modeling method and a deduction and analysis method, which incorporates micro-scale digital twin models of buildings, vehicles, pedestrians, etc. and system node digital twin models at the city system scale into the city digital twin system, and constructs a multi-scale city digital twin system, which is closer to the operation mechanism of the urban complex system from the system level to the micro level, so that the urban micro-scale elements and the urban system scale elements form an organic whole, which can more accurately describe the operation mechanism of the city and improve the digital twin city's ability to express and depict the real urban complex system; through spatial position and logical belonging, the association relationship between the urban system scale digital twin model and the micro-scale digital twin model is established, making it possible to analyze the influence mechanism of the urban system scale digital twin model on the micro-scale digital twin model. The multi-scale digital twin system established by the present invention opens up the relationship between twins of different scales, making top-down urban scenario analysis possible. It can simulate the process of urban disaster impact propagation from the urban system scale to the urban microscale, and can be applied to scenarios such as analyzing disaster development trends, formulating and optimizing disaster plans, and improving urban resilience, providing a basis for deduction and analysis.

[0067] Parts of the present invention that are not described in detail are well known to those skilled in the art.

[0068] In the description of the present invention, it is necessary to understand that the directions or positional relationships indicated by directional words such as "front, back, up, down, left, right", "lateral, vertical, perpendicular, horizontal" and "top, bottom" are usually based on the directions or positional relationships shown in the drawings. They are only for the convenience of describing the present invention and simplifying the description. Unless otherwise specified, these directional words do not indicate or imply that the devices or elements referred to must have a specific direction or be constructed and operated in a specific direction. Therefore, they cannot be understood as limiting the scope of protection of the present invention. The directional words "inside and outside" refer to the inside and outside relative to the contours of each component itself.

[0069] For ease of description, spatially relative terms such as "above", "above", "on the upper surface of", "above", etc. may be used here to describe the spatial positional relationship between a device or feature and other devices or features as shown in the figure. It should be understood that spatially relative terms are intended to include different orientations of the device in use or operation in addition to the orientation described in the figure. For example, if the device in the accompanying drawings is inverted, the device described as "above other devices or structures" or "above other devices or structures" will be positioned as "below other devices or structures" or "below other devices or structures". Thus, the exemplary term "above" can include both "above" and "below". The device can also be positioned in other different ways (rotated 90 degrees or in other orientations), and the spatially relative descriptions used here are interpreted accordingly.

[0070] In addition, it should be noted that the use of terms such as "first" and "second" to limit components is only for the convenience of distinguishing the corresponding components. If not otherwise stated, the above terms have no special meaning and therefore cannot be understood as limiting the scope of protection of the present invention.

[0071] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multi-scale element modeling method for digital twins of cities, It is characterized in that The method comprises: According to the attribute data of several urban elements, a digital twin model of each urban element at a microscopic scale is established; A digital twin model of each urban function system at the urban system scale is established based on the attribute data of several urban function systems and the relationship data between the nodes in each urban function system, where the urban function system is represented by edges and nodes in a complex network; According to the attribute data of several urban elements and the attribute data of several urban functional systems, the association relationship between the digital twin models of various urban elements at the micro scale is established; according to the coupling relationship between several urban functional systems, the association relationship between the various nodes of the digital twin models of various urban functional systems at the urban system scale is established; According to preset requirements, the target city is divided into several grids of the same size. According to the spatial position, the grids are associated with the digital twin models of each urban element at the micro scale and the digital twin models of each urban functional system at the urban system scale to obtain a multi-scale digital twin system.

2. The method according to claim 1, It is characterized in that The urban elements include people, buildings and vehicles, and the urban element digital twin models include people digital twin models, building digital twin models and vehicle digital twin models.

3. The method according to claim 1 or 2, It is characterized in that The attributes of the digital twin model of personnel include id, name, location, address, and workplace, and behaviors include eating, working, and moving; the digital twin model of a building includes id, name, location, and number of people served, and behaviors include power outages, water shortages, and collapse.

4. The method according to claim 1, It is characterized in that The urban functional system includes an electric power system, a communication system, a water supply system, a gas system and a road system.

5. The method according to claim 1, It is characterized in that According to the preset requirements, the target city is divided into several grids of the same size. According to the spatial position, the grids are associated with the digital twin models of each urban element at the micro scale and the digital twin models of each urban functional system at the urban system scale. The multi-scale digital twin system includes: Determine the grid size and shape based on business needs; Divide the target city into several grids of the same size according to the grid size and shape; According to the spatial position and the service scope of the nodes in the digital twin model of each urban functional system, each grid corresponds to at most one node in the digital twin model of a city functional system; according to the spatial position, each urban element corresponds to a unique grid; thereby establishing an association relationship between the grid and the digital twin models of each urban element at the micro scale and the digital twin models of each urban functional system at the urban system scale, and obtaining a multi-scale digital twin system.

6. The method according to claim 5, It is characterized in that The grid is in a rectangular or hexagonal shape.

7. A method of deduction analysis, It is characterized in that The method comprises: Establish a multi-scale digital twin system; Conduct deduction and analysis based on the established multi-scale digital twin system; Wherein, the multi-scale digital twin system is established by using any method described in claims 1-6.

8. A computer device, It is characterized in that The invention comprises a memory, a processor and a city-oriented digital twin multi-scale element modeling program stored in the memory and executable on the processor, wherein the processor implements any one of the methods described in claims 1-6 when executing the city-oriented digital twin multi-scale element modeling program.

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