Smart city modeling management system based on AI big data

Abstract

The invention discloses a smart city modeling management system based on AI big data. The system comprises a system server, a data acquisition and storage module, a data analysis and processing module, an AI big data three-dimensional modeling module, a supervision module, an alarm module, a system management module, a man-machine interaction module and a data proofreading module. The system is reasonable in structural design, can construct a corresponding three-dimensional model, facilitates the user to directly check and judge the urban condition, has a good experience feeling, can feed back the road condition, the road flow prediction condition and the parking amount of the parking lot in the region to the user in real time through the man-machine interaction module, and improves the user experience. The user can plan and select travel roads and travel modes, can monitor fire protection problems, and can feed back problems existing in the system model and abnormal conditions existing in real conditions through the man-machine interaction module, so that the user can participate in interaction.

Description

Technical Field

[0001] The present invention relates to the technical field of smart city management, and in particular to a smart city modeling management system based on AI big data. Background Art

[0002] AI big data is a new type of technology composed of artificial intelligence and massive data. It can process data in any field and achieve the ability of autonomous data analysis and self-optimization through algorithms such as machine learning and deep learning. In short, AI big data refers to a method of using artificial intelligence to process a large amount of data and provide more efficient and accurate analysis results. AI big data technology has been widely applied in various industries, which can help enterprises get rid of the cumbersome data summary and processing work, saving a large amount of manpower and time costs.

[0003] A smart city refers to a modern urban development model that applies advanced technical means such as information technology and the Internet of Things, aiming to improve urban management and service levels, enhance urban operation efficiency and sustainable development. It realizes the digitization, intelligentization and interconnection of various fields within the city by comprehensively using technologies such as big data, cloud computing, the Internet of Things, and artificial intelligence, so as to provide a more convenient, efficient, safe, environmentally friendly and sustainable urban life and environment.

[0004] Currently, in urban management, for traffic conditions, users usually view and judge through navigation devices. The judgment results may have errors, and the user interaction and visualization are relatively limited. It is difficult for users to make intuitive judgments, and it is difficult to have an immersive experience and real-time interaction. Moreover, for abnormal situations found during the user's travel, such as: foreign objects on the road, navigation information deviation, and fire safety hazard problems, it is difficult to give timely feedback, which is not conducive to the supervisors to handle them in a timely manner, resulting in low efficiency. As a result, the urban road resources cannot be reasonably utilized by the public. Therefore, we have designed a smart city modeling management system based on AI big data to solve the above problems. Summary of the Invention

[0005] The object of the present invention is to solve the problems existing in the prior art, and a smart city modeling management system based on AI big data is proposed. It can construct corresponding three-dimensional models, which is beneficial for users to directly view and judge the urban situation, has a good experience, and can feedback the road conditions, road traffic flow prediction, and the parking volume in the parking lots within the area to users through the human-computer interaction module in real time, enabling users to plan and select travel routes and travel modes. It can also monitor fire problems. At the same time, users can also feedback the problems existing in the system model and abnormal situations in the real situation through the human-computer interaction module, which is beneficial for the data verification module to verify the data and for the alarm module to dispatch supervisors to process the feedback problems in a timely manner, enabling users to participate in the interaction.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] A smart city modeling management system based on AI big data includes a system server, a data acquisition and storage module, a data analysis and processing module, an AI big data three-dimensional modeling module, a supervision module, an alarm module, a system management module, a human-computer interaction module, and a data verification module;

[0008] The data acquisition and storage module is used to obtain urban building data, basic road data, population information data, fire facility information data, and road monitoring facility data, and store the data;

[0009] The data analysis and processing module analyzes and processes the data stored in the data acquisition and storage module;

[0010] The AI big data three-dimensional modeling module converts the data processed by the data analysis and processing module into a smart city modeling reference diagram and constructs a corresponding three-dimensional model;

[0011] The supervision module includes a real-scene data acquisition unit, a navigation software data acquisition unit, a traffic flow measurement unit, and a fire monitoring unit;

[0012] The alarm module timely feedbacks the abnormal situations monitored in the supervision module and sends corresponding processing instructions;

[0013] The system management module monitors, maintains, and manages the entire system to ensure the stability and availability of the system, including system configuration, performance monitoring, and troubleshooting functions;

[0014] The human-computer interaction module includes a user login page, a user information authentication unit, and a user interaction operation unit;

[0015] The data verification module is used to verify the data feedback by the supervision module and the human-computer interaction module, and edit and correct the AI big data three-dimensional modeling module.

[0016] Preferably, the data acquisition and storage module collects existing data sources and verifies the data in combination with deployed cameras, sensors, and lidar.

[0017] Preferably, the existing data sources include urban planning and design drawings, urban aerial photos, satellite cloud images, and relevant information on various buildings and plans within the city.

[0018] Preferably, urban infrastructure has corresponding identifiers in the 3D model constructed by the AI big data 3D modeling module.

[0019] Preferably, the supervision module further includes a data cleaning and integration unit, which detects and corrects errors, missing values, and outliers in the data, integrates data from different sources, and ensures format consistency.

[0020] Preferably, the supervision module can also supervise the real-time parking volume in parking lots.

[0021] Preferably, the traffic flow measurement unit in the supervision module establishes real-time traffic flow distribution maps for each road section, predicts the traffic flow distribution for each road section, and presents it to travelers in the form of image data and map markings for travelers to choose.

[0022] Preferably, the output end of the user login page is connected to the input end of the user information authentication unit, and the output end of the user information authentication unit is connected to the input end of the user interaction operation unit, enabling the user to interact with the 3D model constructed by the AI big data 3D modeling module, including querying urban information, editing model functions, and providing feedback.

[0023] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0024] 1. For this AI big data-based smart city modeling management system, the data acquisition and storage module collects urban information, constructs a corresponding 3D model through the AI big data 3D modeling module based on the analyzed data, and marks public facilities in the 3D model, which is beneficial for users to directly view and judge the urban situation and provides a good experience.

[0025] 2. For this AI big data-based smart city modeling management system, the supervision module collects urban information in real time, can measure traffic flow, establish real-time traffic diagrams for each road section, and can generate traffic flow prediction maps, and feeds back road conditions, road congestion conditions, and parking volume in parking lots within the area to users through the human-computer interaction module, enabling users to plan and choose travel routes and travel modes, reducing the occurrence of road congestion. At the same time, the fire monitoring unit can also monitor fire problems.

[0026] 3. In this AI big data-based smart city modeling management system, users can query urban information and road congestion conditions through the human-computer interaction module, which is beneficial for travel. At the same time, users can also feedback problems existing in the system model and abnormal situations in the real world through the human-computer interaction module, which is beneficial for the data verification module to conduct data verification and for the alarm module to dispatch supervisors to handle the feedback problems in a timely manner, enabling users to participate in the interaction. Brief Description of the Drawings

[0027] Figure 1 It is a schematic structural diagram of a smart city modeling management system based on AI big data proposed by the present invention.

[0028] In the figure: 1. System server; 2. Data acquisition and storage module; 3. Data analysis and processing module; 4. AI big data three-dimensional modeling module; 5. Supervision module; 501. Real-scene data acquisition unit; 502. Navigation software data acquisition unit; 503. Traffic flow measurement unit; 504. Fire monitoring unit; 6. Alarm module; 7. System management module; 8. Human-computer interaction module; 801. User login page; 802. User information authentication unit; 803. User interaction operation unit; 9. Data verification module. Detailed Embodiment

[0029] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying 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.

[0030] Refer to Figure 1 , a smart city modeling management system based on AI big data, including a system server 1, a data acquisition and storage module 2, a data analysis and processing module 3, an AI big data three-dimensional modeling module 4, a supervision module 5, an alarm module 6, a system management module 7, a human-computer interaction module 8, and a data verification module 9;

[0031] The data acquisition and storage module 2 is used to obtain urban building data, basic road data, population information data, fire facility information data, and road monitoring facility data, and store the data. The data acquisition and storage module 2 collects existing data sources and combines the deployed cameras, sensors, and lidar to verify the data, which is beneficial to improving the accuracy of the data, and further beneficial to the accuracy of the three-dimensional model constructed by the AI big data three-dimensional modeling module 4. The existing data sources include urban planning and design drawings, urban aerial photos, satellite cloud maps, and relevant information of various buildings and plans in the city;

[0032] The data analysis and processing module 3 analyzes and processes the data stored in the data acquisition and storage module 2;

[0033] The AI big data three-dimensional modeling module 4 converts the data processed by the data analysis and processing module 3 into a reference map for smart city modeling, and constructs a corresponding three-dimensional model. Urban infrastructure has corresponding identifiers in the three-dimensional model constructed by the AI big data three-dimensional modeling module 4, facilitating users to quickly search;

[0034] The supervision module 5 includes a real-scene data acquisition unit 501, a navigation software data acquisition unit 502, a traffic flow measurement unit 503, and a fire monitoring unit 504. The real-scene data acquisition unit 501 can collect real-time road traffic flow data through surveillance cameras, combine the information collected by the navigation software data acquisition unit 502 on users' use of navigation software, measure the traffic flow through the traffic flow measurement unit 503, establish the real-time traffic flow distribution of each road section, predict the traffic flow distribution of each road section, and present it to travelers in the form of image data and map markings for travelers to choose travel modes, reducing the occurrence of road congestion. At the same time, the fire monitoring unit 504 can also monitor fire problems, which is conducive to quickly enabling firefighters to handle possible fire problems. The fire monitoring unit 504 includes devices such as surveillance cameras, smoke sensors, and temperature sensors;

[0035] The supervision module 5 also includes a data cleaning and integration unit, which detects and corrects errors, missing values, and outliers in the data, integrates data from different sources, and ensures format consistency. The supervision module 5 can also supervise the real-time parking volume in parking lots within the smart city modeling management area, which is conducive to users' travel planning;

[0036] The alarm module 6 promptly feedbacks the abnormal situations monitored in the supervision module 5 and sends corresponding processing instructions. The abnormal situations measured by the traffic flow measurement unit 503 are fed back to the system server 1. The system server 1 can issue instructions through the alarm module 6 to optimize the traffic lights or promptly conduct police dispatch management for traffic congestion situations, which is conducive to quickly alleviating congestion. Moreover, the alarm module 6 can also send instructions for the abnormal situations monitored by the fire monitoring unit 504, enabling firefighters to promptly go out to solve fire hazards;

[0037] The system management module 7 monitors, maintains, and manages the entire system to ensure the stability and availability of the system, including system configuration, performance monitoring, and troubleshooting functions;

[0038] The human-computer interaction module 8 includes a user login page 801, a user information authentication unit 802, and a user interaction operation unit 803, providing a visual experience for users. The output end of the user login page 801 is connected to the input end of the user information authentication unit 802, and the output end of the user information authentication unit 802 is connected to the input end of the user interaction operation unit 803, enabling users to interact with the three-dimensional model constructed by the AI big data three-dimensional modeling module 4, including querying city information, editing model functions, and providing feedback. Users can query the traffic flow of road sections through the human-computer interaction module 8, which helps avoid congested road sections. Users can report errors in the three-dimensional model constructed by the AI big data three-dimensional modeling module 4, which is beneficial for the data verification module 9 to conduct verification and adjustment. Moreover, users can also provide feedback on areas with potential fire safety hazards, enabling the system server 1 to dispatch staff through the alarm module 6 in a timely manner for inspection and handling, reducing potential safety hazards;

[0039] The data verification module 9 is used to verify the data fed back by the supervision module 5 and the human-computer interaction module 8, and perform editing and correction on the AI big data three-dimensional modeling module 4.

[0040] The function principle of the present invention can be described through the following operation modes:

[0041] In the present invention, the data acquisition and storage module 2 acquires city information and sends the acquired information to the data analysis and processing module 3 for analysis and processing. The AI big data three-dimensional modeling module 4 constructs a corresponding three-dimensional model based on the analyzed data and marks the public facilities in the three-dimensional model, which is beneficial for users to search;

[0042] The supervision module 5 acquires city information in real time through the real-scene data acquisition unit 501, combines the navigation information acquired by the navigation software data acquisition unit 502, calculates the traffic flow through the traffic flow calculation unit 503, establishes a real-time traffic schematic diagram of each road section, and can generate a traffic flow prediction map. The road conditions, road congestion conditions, and the number of parked vehicles in the parking lots within the area are fed back to users through the human-computer interaction module 8, enabling users to select travel routes and travel modes, reducing the occurrence of road congestion. At the same time, the fire monitoring unit 504 can also monitor fire problems, which is beneficial for the fire personnel to handle them quickly;

[0043] At the same time, the supervision module 5 can feed back the information acquired by the real-scene data acquisition unit 501 and the prediction information of the traffic flow calculation unit 503 to the system server 1. The system server 1 determines whether there are abnormal situations on the road or in terms of fire, such as foreign objects on the road, damage to road monitoring or traffic lights, road congestion, and fire accidents. It can dispatch corresponding personnel through the alarm module 6 in a timely manner to handle the abnormal situations;

[0044] Users can query urban information and road congestion conditions through the human-computer interaction module 8, which is beneficial for travel. At the same time, users can also report errors in the 3D models constructed by the AI big data 3D modeling module 4 through the human-computer interaction module 8, take pictures and upload abnormal situations of road sections, and give feedback on fire problems, which is beneficial for the data verification module 9 to conduct data verification and beneficial for the alarm module 6 to dispatch supervisors to handle the feedback problems in a timely manner.

[0045] The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and all should be covered within the protection scope of the present invention.

Claims

1. A smart city modeling management system based on AI big data, characterized in that: It includes a system server (1), a data acquisition and storage module (2), a data analysis and processing module (3), an AI big data three-dimensional modeling module (4), a supervision module (5), an alarm module (6), a system management module (7), a human-computer interaction module (8), and a data proofreading module (9); The data acquisition and storage module (2) is used to obtain urban building data, basic road data, population information data, firefighting facility information data, and road monitoring facility data, and store the data; The data analysis and processing module (3) analyzes and processes the data stored in the data acquisition and storage module (2); The AI ​​big data three-dimensional modeling module (4) converts the data processed by the data analysis and processing module (3) into a smart city modeling reference map and constructs a corresponding three-dimensional model; The monitoring module (5) comprises a real scene data collection unit (501), a navigation software data collection unit (502), a traffic flow measurement unit (503) and a fire monitoring unit (504); The alarm module (6) promptly feeds back the abnormal situation monitored in the supervision module (5) and sends corresponding processing instructions; The system management module (7) monitors, maintains and manages the entire system to ensure the stability and availability of the system, including system configuration, performance monitoring and troubleshooting functions; The human-computer interaction module (8) comprises a user login page (801), a user information authentication unit (802) and a user interaction operation unit (803); The data proofreading module (9) is used to proofread the data fed back by the supervision module (5) and the human-computer interaction module (8), and to edit and correct the AI ​​big data three-dimensional modeling module (4).

2. According to the AI ​​big data-based smart city modeling management system of claim 1, it is characterized in that: The data acquisition and storage module (2) acquires existing data sources and verifies the data in combination with deployed cameras, sensors, and laser radars.

3. According to the AI ​​big data-based smart city modeling management system of claim 2, it is characterized in that: The existing data sources include city planning and design drawings, city aerial photos, satellite cloud images, and related information on various buildings and plans in the city.

4. According to the AI ​​big data-based smart city modeling management system of claim 1, it is characterized in that: The urban infrastructure has corresponding identification in the three-dimensional model constructed by the AI ​​big data three-dimensional modeling module (4).

5. According to the AI ​​big data-based smart city modeling management system of claim 1, it is characterized in that: The supervision module (5) also includes a data cleaning and integration unit to detect and correct errors, missing values ​​and abnormal values ​​in the data, integrate data from different sources, and ensure format consistency.

6. The smart city modeling management system based on AI big data according to claim 1 is characterized in that: The monitoring module (5) can also monitor the real-time parking volume in the parking lot.

7. The smart city modeling management system based on AI big data according to claim 1 is characterized in that: The traffic flow calculation unit (503) in the monitoring module (5) establishes a real-time traffic flow distribution map for each road section, and predicts the traffic flow distribution for each road section, and presents it to travelers through image data and map identification for their selection.

8. The smart city modeling management system based on AI big data according to claim 1 is characterized in that: The output end of the user login page (801) is connected to the input end of the user information authentication unit (802), and the output end of the user information authentication unit (802) is connected to the input end of the user interaction operation unit (803), so that the user can interact with the three-dimensional model constructed by the AI ​​big data three-dimensional modeling module (4), including querying city information, editing model functions, and feedback information.

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