Community governance method based on digital twinning and application

Abstract

The invention discloses a community governance method based on digital twinning, and the method comprises the steps: carrying out the layering and household-splitting modeling of buildings in a community, and building a spatial layout model of roads, greening and Internet of Things equipment, so as to construct a community three-dimensional digital twinning pedestal; real-time data of population track, vehicle passing, elevator running state, dog behavior and high-altitude object throwing events are obtained through Internet of Things equipment and synchronized to community dynamic data in real time; the real-time data is associated with a digital twin base, an interactive three-dimensional visual interface is generated, and personnel flow, vehicle tracks, elevator states and event alarm information are dynamically displayed; and analyzing the collected data based on a machine learning algorithm, and generating a resource configuration optimization strategy, a risk early warning instruction and an emergency response scheme. The method can solve the problem that the existing community public security governance means is mainly based on webpage end disposal and lacks visual presentation and later prevention drill ability.

Description

Technical Field

[0001] This application relates to the fields of digital twin and community governance, and particularly to a community governance method, an electronic device, and a computer-readable storage medium based on digital twin. Background Art

[0002] As the basic unit of social governance, the community currently faces problems such as single governance means, insufficient data integration, and low level of intelligence. Traditional governance relies on web page processing, lacking real-time and intuitiveness, and it is difficult to achieve risk prevention and dynamic management. Moreover, existing solutions have limitations in aspects such as personnel control, device linkage, and data analysis. Summary of the Invention

[0003] In order to overcome the defects of the above-mentioned prior art, embodiments of the present invention provide a community governance method and application based on digital twin, which can solve the problem that the current community public safety governance means mainly rely on web page disposal, lacking intuitive presentation and the ability of later prevention and rehearsal.

[0004] On the one hand, embodiments of the present invention propose a community governance method based on digital twin, including: performing hierarchical household modeling on the buildings in the community, and establishing a spatial layout model of roads, greenery, and Internet of Things devices to construct a three-dimensional digital twin base of the community; obtaining real-time data on population whereabouts, vehicle passage, elevator operation status, dog behavior, and high-altitude parabolic events through Internet of Things devices, and synchronizing them to the community dynamic data in real time; associating the real-time data with the digital twin base to generate an interactive three-dimensional visualization interface, dynamically displaying personnel flow, vehicle trajectories, elevator status, and event alarm information; analyzing the collected data based on machine learning algorithms to generate resource allocation optimization strategies, risk warning instructions, and emergency response plans.

[0005] In an embodiment of the present invention, the specific steps of constructing the digital twin base include: using 3DSMax to perform hierarchical household modeling on the buildings, naming each household according to building number - unit number - floor number - household number, and setting 3D static labels on the top of the buildings; creating differentiated 3D character models according to role types, binding the skeletal system and material features; performing standardized modeling on vehicles, elevators, dogs, and cameras, and reserving dynamic interaction interfaces.

[0006] In an embodiment of the present invention, the specific method of real-time data collection is: capturing the whereabouts of residents through face recognition cameras, extracting features using mobile networks and matching with a pre-stored population information database; identifying vehicle features and license plate information through intelligent cameras and image recognition algorithms; monitoring the running height, speed, and fault signals of elevators in real time through elevator sensors; using cameras for detecting dog walking behavior and high-altitude parabolic cameras, and respectively using pre-trained algorithms to identify un-leashed behavior and parabolic trajectories.

[0007] In one embodiment of the present invention, the dynamic mapping and 3D visualization include: binding real-time animated paths for the population, vehicles, elevators, and dogs in the digital twin base to simulate their physical space behaviors; rendering the building models with translucent materials to make the internal states of the elevators visible from the outside; setting differentiated tags for key personnel and retrieving detailed information by clicking on the tags.

[0008] In one embodiment of the present invention, the data analysis and governance decision-making include: generating 3D bar charts based on population whereabouts data to analyze peak hours of people flow in places and optimize the allocation of community service resources; generating traffic heat maps based on vehicle passing data and automatically generating traffic diversion strategies during peak hours; optimizing the maintenance plan based on elevator failure frequency data to reduce redundant maintenance costs; generating a leaderboard of frequently-occurring buildings based on the statistics of high-altitude parabolic events and triggering targeted inspection instructions.

[0009] In one embodiment of the present invention, the specific steps of face recognition and feature matching are as follows: normalizing the face images captured by the camera and extracting gender, age, and clothing features; matching the features with prefabricated 3D character models and binding dynamic pathfinding animations; generating temporary models for unmatched personnel, marking them with visitor tags, and recording their whereabouts trajectories.

[0010] In one embodiment of the present invention, the vehicle recognition and trajectory generation include: detecting vehicle bounding boxes through YOLOv8 and extracting color and vehicle type features by ResNet50; matching the features with a pre-stored 3D vehicle model library to generate vehicle driving path animations; triggering an alarm for illegal parking behaviors and pushing the associated vehicle owner information to the management terminal.

[0011] In one embodiment of the present invention, the digital twin-based community governance method realizes local data processing through edge computing nodes, specifically: deploying edge servers within the community to perform real-time cleaning and feature extraction on sensor data; uploading the key data after feature extraction to the cloud to reduce network load and latency.

[0012] On the other hand, an embodiment of the present invention also proposes an electronic device, including: a memory and one or more processors connected to the memory, the memory storing a computer program, and the processors being configured to execute the computer program to implement the digital twin-based community governance method as described in any one of the above embodiments.

[0013] On yet another hand, an embodiment of the present invention also proposes a computer-readable storage medium storing computer-executable instructions for executing the digital twin-based community governance method as described in any one of the above embodiments.

[0014] As can be seen from the above, compared with the prior art, the above embodiments of the present invention can have at least one or more of the following beneficial effects:

[0015] The community governance method based on digital twin proposed in the embodiments of the present invention realizes the intelligent, visual and dynamic management of community governance by constructing a three-dimensional digital twin base of the community and integrating real-time data of Internet of Things devices, including the refined modeling of community buildings, roads, greenery, population, vehicles, elevators, dogs and security equipment. Combining technologies such as face recognition, vehicle monitoring, elevator status perception, dog walking behavior detection, and high-altitude object tracking, it can map the real-time operation status of the community. Community workers can intuitively monitor personnel flow, vehicle traffic, elevator operation and maintenance, pet management and potential safety hazards through a three-dimensional visualization interface, and optimize resource allocation and improve emergency response efficiency through data analysis, solving the problems of insufficient visualization (two-dimensional plane display cannot intuitively reflect the correlation of three-dimensional space events), static models (most existing digital twin systems are pre-rendered models and cannot respond to physical space changes in real time), lagged response, and lack of simulation and prevention drill capabilities in traditional community governance, and significantly improving the community management efficiency and the level of residents' safety guarantee. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention, and constitute a part of the present invention. The illustrative embodiments and descriptions thereof of the present invention are used to explain the present invention, and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 is a flowchart of the community governance method based on digital twin provided by the embodiments of the present invention;

[0018] Figure 2 is a schematic structural diagram of an electronic device provided by the embodiments of the present invention;

[0019] Figure 3 is a schematic structural diagram of a computer-readable storage medium provided by the embodiments of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other. The present invention will be described below with reference to the drawings and in conjunction with the embodiments.

[0021] In order to enable those of ordinary skill in the art to better understand the technical solutions of the present invention, 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. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments, and all should belong to the protection scope of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the description, claims and above-mentioned drawings of the present invention are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that such terms can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0023] It should also be noted that the division of multiple embodiments in the present invention is only for the convenience of description and should not constitute a special limitation. The features in various embodiments can be combined and cross-referenced without conflict.

[0024] As Figure 1 shown, the first embodiment of the present invention proposes a community governance method based on digital twins, for example, including: Step S1, performing hierarchical household modeling on the buildings in the community, and establishing a spatial layout model of roads, greenery, and Internet of Things devices to construct a community three-dimensional digital twin base; Step S2, obtaining real-time data on population whereabouts, vehicle traffic, elevator operation status, dog behavior, and high-altitude parabolic events through Internet of Things devices, and synchronizing them to the community dynamic data in real time; Step S3, associating the real-time data with the digital twin base to generate an interactive three-dimensional visualization interface, and dynamically displaying personnel flow, vehicle trajectories, elevator status, and event alarm information; Step S4, analyzing the collected data based on machine learning algorithms to generate resource allocation optimization strategies, risk warning instructions, and emergency response plans.

[0025] Specifically, in Step S1, for example, 3DSMax is used to create the digital twin base. The hierarchical household modeling method is adopted: each floor is independently grouped (Group), and the household unit is named according to <building number>-<unit number>-<floor number>-<household number> (such as G2-1-15-03), and a 3D static label of the building number is displayed at the top of the building; 3D character models are made according to the role types (owners, tenants, the elderly, women, children, property management, security guards, cleaners, couriers, food delivery workers, supermarket employees, community doctors, members of the neighborhood committee), topological specifications, skeletal systems, and material characteristics. For example:

[0026]

[0027] The vehicle, for example, uses a standard size (length × width × height): 4800×1850×1750mm, and the key components are modeled separately; for elevator modeling, door animations are reserved and floor displays are added; for canine biological modeling, the main skeleton and the tail bone chain are created, and hair is added; for camera modeling, the main body, pan-tilt, bracket, and static parts are made separately.

[0028] Import the prepared models into the digital twin base, and then import the digital twin base into UE5. During import, coordinate calibration is performed and the model materials are converted. Then, secondary development is carried out to handle some operation logics, such as adding click events and data communication interfaces. Models such as people, vehicles, elevators, canines, and cameras can be clicked to view real-time data information.

[0029] For example, use C++ in UE5 to implement video capture and encoding, and use the WebRTC library (such as libwebrtc) to handle the transmission of video streams. Then, use JavaScript and the webRTC API on the front-end page to receive the video stream. Thus, UE5 integrates the digital twin base in the form of a video stream into the front-end system of digital twin community governance.

[0030] Create a click event for the building in UE5. In the front-end system of digital twin community governance, clicking on the building on the digital twin base can trigger the callback method of the click event in UE5. UE5 sends the building ID to the front-end system, and at the same time, a floor index table pops up. When the front-end system clicks on the floor index, it sends the building and floor IDs to UE5, and UE5 triggers the extraction of the model of that floor to view the layout of all houses on that floor. When clicking on the floor index, the front-end system requests the floor population data from the server to view the population information, and the population information can be supplemented and modified by calling the population information editing interface.

[0031] In step S2, after the front-end system of digital twin community governance is opened, the front-end system sends the full amount of community population information data to UE5. In UE5, the obtained full amount of population data is distributed to each 3D character model. UE5 creates a Widget label instance on the head of the character model and binds the population data to display information such as name, age, and occupation. UE5 then adds a click event OnClicked() to this label. Clicking on this label can further view more complete population information, and an enumeration type is set for these personnel types such as released prisoners, community correction personnel, drug addicts, mental patients, elderly living alone, disabled persons, and low-income persons for distinction. Different personnel icons are set according to different enumeration types to facilitate real-time tracking and control by community staff.

[0032] By installing face recognition cameras on the community roads, the whereabouts of residents are captured and mapped in real time into the digital twin community governance system (the photos of the people captured by the cameras are sent to the server, and then the front-end system calls the server interface to send the photos of the people to UE5. MobileNetV3 is used in UE5 for feature extraction, and the feature data structure is defined to predict the probability of male, predict age, etc. According to the appearance, clothing and other characteristics of the photo, the matching 3D character model is selected, and the selected character model is set to the position captured by the camera. The character animation automatic pathfinding is set on UE5 to realize the simple walking of the virtual character at this position).

[0033] Community workers can visually view the movement of this person near the camera in the digital twin community governance system. The digital twin community governance system records the whereabouts of the person, analyzes the frequency of the person entering and leaving various places at different times, and generates a three-dimensional bar chart of this data in the front-end system. For example, if there is a large flow of people entering and leaving the community supermarket during a certain period, the community workers can communicate with the community supermarket to arrange more staff for checkout during that period.

[0034] In step S3, by installing intelligent recognition scene cameras at the road and garage entrances and exits, the whereabouts of residents' vehicles are captured and mapped in real time into the digital twin community governance system (the photos of the vehicles captured by the cameras are sent to the server, and then the front-end system calls the server interface to send the photos of the vehicles to UE5. YOLOv8+ResNet50 is used in UE5 to extract vehicle features, and the vehicle feature data format is defined. According to the features of the photo, the matching 3D vehicle model is selected, and the selected vehicle model is set to the position captured by the camera. The vehicle driving animation on the road is set on UE5 to realize the simple driving of the virtual vehicle at this position).

[0035] In step S4, by installing electric vehicle monitoring cameras and elevator status sensors in the elevators of each building, it is mapped in the digital twin community governance system (the sensor sends the elevator status data to UE5 in real time after edge gateway data processing. UE5 sets the animation path of the elevator model running up and down in the building model according to the acquired sensor data, where the sensor data includes whether the elevator is faulty, height, etc.). In addition, because the elevator model is inside the building model, a semi-transparent material instance is created on UE5 to set the wall perspective effect for the outer wall so that the operation of the elevator can be seen outside the building: the real-time status (ascending, descending, stopped) of the elevator in each building.

[0036] When the sensor detects an elevator failure or a fire, UE5 sets the elevator model in the building model to a Widget label with a red alarm style. The digital twin community governance system records the operation frequency and failure status of the elevators in each building, and reasonably arranges elevator maintenance, avoiding the waste of manpower, material and financial resources in the regular maintenance of each elevator.

[0037] UE5 sets a click event onClick() for the camera model in the elevator model. After clicking, it queries video information and calls the front-end system video plugin to view real-time video and video playback. When it detects that a battery car enters the elevator, the camera will automatically identify (using the algorithm built into the Hikvision camera), capture it and automatically save the image at that time, and issue a voice dissuasion. Generate an alarm signal and send it back to the system, and push it to relevant management personnel.

[0038] Furthermore, by installing intelligent recognition scenario cameras at the entrances and exits of roads and garages (using Megvii's algorithm for not leashing dogs while walking them), it captures the whereabouts of dogs and the behavior of not leashing dogs while walking them (when it detects someone walking a dog without a leash, the camera will generate an alarm message, and record relevant photos, videos, and the information of the dog and its owner will be sent back and pushed to the management personnel, forming a view library of events, providing direct evidence for subsequent work), and maps it in the digital twin community governance system (the dog photo captured by the camera is sent to the server, and then the front-end system calls the server interface to send the dog photo to UE5. UE5 uses ResNet-50 to extract the dog features, filters and matches the 3D dog model according to the features of the photo, and sets the filtered dog model to the position captured by the camera. Set the dog walking animation path on UE5 to realize the simple movement of the virtual dog model at this position).

[0039] Furthermore, by installing high-altitude throwing cameras around the building, it maps in the digital twin community governance system (the high-altitude throwing information captured by the camera (using the high-altitude throwing algorithm built into the Hikvision camera) is sent to the server, and the server sends the high-altitude throwing information to UE5. UE5 creates a cubic electric object model according to the high-altitude throwing information and sets it to the position captured by the camera. Set the falling animation trajectory of the object model at this position on UE5), and at the same time when a high-altitude throwing behavior occurs, UE5 sets the camera view to automatically switch to the building where the incident occurred.

[0040] In summary, the community governance method based on digital twin proposed in the first embodiment of the present invention constructs a three-dimensional digital twin base for the community, integrates real-time data of Internet of Things devices, and realizes intelligent, visual, and dynamic management of community governance, including refined modeling of community buildings, roads, greenery, population, vehicles, elevators, dogs, and security equipment. Combining technologies such as face recognition, vehicle monitoring, elevator status perception, dog walking behavior detection, and high-altitude object throwing tracking, it can map the real-time operation status of the community. Community workers can intuitively monitor personnel flow, vehicle traffic, elevator operation and maintenance, pet management, and potential safety hazards through a three-dimensional visualization interface, and optimize resource allocation and improve emergency response efficiency through data analysis, solving the problems of insufficient visualization (two-dimensional plane display cannot intuitively reflect the correlation of three-dimensional space events), model staticization (existing digital twin systems are mostly pre-rendered models and cannot respond to physical space changes in real time), response lag, and lack of simulation and prevention drill capabilities in traditional community governance, significantly improving the community management efficiency and the level of residents' safety protection.

[0041] In addition, as Figure 2 shown, the third embodiment of the present invention also proposes an electronic device, for example, including: at least one processing unit and at least one storage unit. Among them, the storage unit stores a computer program. When the computer program is executed by the processing unit, the processing unit is caused to execute the method as described in the first embodiment, and the beneficial effects of the electronic device provided in this embodiment are the same as those of the community governance method based on digital twin provided in the first embodiment.

[0042] As Figure 3 shown, the fourth embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the above method are implemented, and the beneficial effects of the computer-readable storage medium provided in this embodiment are the same as those of the community governance method based on digital twin provided in the first embodiment.

[0043] Among them, the computer-readable storage medium may include, but is not limited to, any type of disk, including floppy disks, optical discs, DVDs, CD-ROMs, microdrives, and magneto-optical discs, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of medium or device suitable for storing instructions and / or data.

[0044] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0045] In the above embodiments, the descriptions of the respective embodiments have their own focuses. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0046] In the several embodiments provided by this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some service interfaces. The indirect couplings or communication connections of the devices or units can be electrical or other forms.

[0047] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0048] In addition, in each embodiment of this application, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0049] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, read-only memories (ROM), random access memories (RAM), mobile hard disks, magnetic disks, or optical discs.

[0050] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing relevant hardware through a program. This program can be stored in a computer-readable memory, and the memory can include: flash drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs, etc.

[0051] The above are only exemplary embodiments of the present disclosure and should not be used to limit the scope of the present disclosure. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure still fall within the scope covered by the present disclosure. Those skilled in the art will readily think of other embodiments of the present disclosure after considering the specification and practicing the present disclosure here. This application aims to cover any variations, uses, or adaptive changes of the present disclosure, and these variations, uses, or adaptive changes follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The specification and embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

[0052] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0053] Those skilled in the art can easily understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A community governance method based on digital twins, characterized in that include: Carry out layered and household-by-household modeling of buildings in the community, and establish spatial layout models of roads, greenery, and IoT devices to build a three-dimensional digital twin base for the community; Obtain real-time data on population movements, vehicle traffic, elevator operation status, dog behavior, and incidents of dropping objects from high places through IoT devices, and synchronize them to community dynamic data in real time; The real-time data is associated with the digital twin base to generate an interactive three-dimensional visualization interface to dynamically display personnel flow, vehicle trajectory, elevator status and event alarm information; The collected data is analyzed based on machine learning algorithms to generate resource allocation optimization strategies, risk warning instructions and emergency response plans.

2. The community governance method based on digital twin according to claim 1, wherein The specific steps of constructing the digital twin base include: 3DSMax is used to model the building by layer and household. Each household is named according to the building number-unit number-layer number-household number, and a 3D static label is set on the top of the building. Create differentiated 3D character models according to character types, and bind the skeleton system and material characteristics; Standardized modeling is performed for vehicles, elevators, dogs, and cameras, and dynamic interaction interfaces are reserved.

3. The community governance method based on digital twin according to claim 1, wherein, The specific method of real-time data collection is: The movement of residents is captured through facial recognition cameras, and features are extracted using mobile networks and matched against a pre-stored population database; Identify vehicle features and license plate information through smart cameras and image recognition algorithms; Real-time monitoring of operating height, speed and fault signals through elevator sensors; Through the dog walking behavior detection camera and the high-altitude object throwing camera, pre-trained algorithms are used to identify off-leash behavior and object throwing trajectory respectively.

4. The community governance method based on digital twin according to claim 1, wherein The dynamic mapping and three-dimensional visualization include: In the digital twin base, real-time animation paths are bound to people, vehicles, elevators, and dogs to simulate their physical spatial behaviors; The building model is rendered with semi-transparent materials to make the internal status of the elevator visible from the outside. Set differentiated labels for key personnel and click the labels to retrieve detailed information.

5. The community governance method based on digital twin according to claim 1, wherein The data analysis and governance decisions include: Generate a three-dimensional bar chart based on population movement data, analyze peak hours of traffic in venues, and optimize the allocation of community service resources; Generate traffic heat maps based on vehicle traffic data and automatically generate peak-hour traffic diversion strategies; Optimize maintenance plans based on elevator failure frequency data to reduce redundant maintenance costs; Based on the statistics of high-altitude throwing incidents, a ranking list of buildings with frequent incidents is generated to trigger targeted inspection instructions.

6. The community governance method based on digital twin according to claim 3, wherein, The specific steps of face recognition and feature matching are: Normalize the facial images captured by the camera and extract gender, age and clothing features; Match pre-made 3D character models according to features and bind dynamic path-finding animations; Generate a temporary model for unmatched persons, annotate visitor labels and record their whereabouts.

7. The community governance method based on digital twin according to claim 3, wherein The vehicle identification and trajectory generation include: YOLOv8 is used to detect the vehicle bounding box, and ResNet50 is used to extract color and vehicle model features; Match the features with the pre-stored 3D vehicle model library to generate vehicle driving path animation; An alarm is triggered for illegal parking behavior, and the associated owner information is pushed to the management terminal.

8. The community governance method based on digital twin according to claim 1, wherein The method realizes data localization processing through edge computing nodes, specifically: Deploy edge servers in the community to perform real-time cleaning and feature extraction of sensor data; Upload the key data after feature extraction to the cloud to reduce network load and latency.

9. An electronic device, characterized in that, Including: A memory and one or more processors connected to the memory, the memory stores a computer program, and the processors are configured to execute the computer program to implement the digital twin-based community governance method according to any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for executing the digital twin-based community governance method according to any one of claims 1-8.

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