Internet of vehicles data analysis system based on artificial intelligence

Abstract

The invention belongs to the technical field of Internet of Vehicles data analysis systems, and particularly relates to an Internet of Vehicles data analysis system based on artificial intelligence, which comprises a data acquisition module, a data preprocessing module, a communication module, a cloud platform and a vehicle-mounted terminal interaction system, and is characterized in that a traffic management system is used for transmitting current information to the data acquisition module through ramp signals; the data acquisition module pre-processes the information through the data pre-processing module, transmits the information to the cloud platform through the communication module for storage and analysis, and finally sends the information to the vehicle-mounted terminal interaction system through the communication module; the personalized service module on the vehicle-mounted terminal interaction system can provide intelligent navigation for a user, change a route in advance and prevent a driver from continuing to move forward according to a user portrait and a data result deeply excavated and analyzed by the cloud platform, so that the traffic efficiency of a road intersection can be improved, and the road traffic is smoother.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle networking data analysis systems, and specifically relates to a vehicle networking data analysis system based on artificial intelligence. Background Art

[0002] With the rapid development of Internet of Vehicles technology, massive amounts of vehicle operation data, driving behavior data, environmental data, etc. are collected and transmitted in real time. These data contain huge value and can be used to improve traffic safety, optimize traffic efficiency, and improve driving experience. However, traditional data analysis methods are difficult to effectively process such large and complex data, and cannot fully tap its potential value. It is impossible to better combine artificial intelligence technology with Internet of Vehicles data to build an efficient and intelligent Internet of Vehicles data analysis system, and cannot provide strong support for improving traffic safety, optimizing traffic efficiency, and improving driving experience.

[0003] In order to solve the above problems, this application proposes an Internet of Vehicles data analysis system based on artificial intelligence. Summary of the invention

[0004] The present invention provides an Internet of Vehicles data analysis system based on artificial intelligence, which can effectively solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an artificial intelligence-based Internet of Vehicles data analysis system, comprising a data acquisition module, a data preprocessing module, a communication module, a cloud platform and a vehicle terminal interaction system;

[0006] The data acquisition module includes a system data acquisition module and a status data acquisition module. The system data acquisition module is used to collect vehicle network data in real time from data sources such as traffic management systems, traffic information systems, intelligent parking systems, and roadside units. The status data acquisition module includes vehicle-mounted sensors, vehicle-mounted GPS modules, vehicle-mounted cameras, vehicle-mounted radars, and driving recorders. Vehicle operation data, environmental data, user behavior data, etc. can be collected through vehicle-mounted sensors, vehicle-mounted GPS modules, vehicle-mounted cameras, vehicle-mounted radars, and driving recorders.

[0007] The data preprocessing module is used to perform operations such as cleaning, denoising, and format conversion on the raw data collected by the data acquisition module to provide high-quality data for subsequent analysis;

[0008] The communication module is used for communication and data transmission between the data acquisition module, the data preprocessing module, the cloud platform and the vehicle terminal interactive system;

[0009] The cloud platform is used to store data, analyze data, fuse data and model data collected by the data acquisition module;

[0010] The vehicle-mounted terminal interactive system includes a data visualization module, an alarm module, and a personalized service module.

[0011] Preferably, the vehicle-mounted GPS module is used in conjunction with a driving recorder to accurately record vehicle driving data such as the vehicle's driving route, driving speed, stop location and stop time.

[0012] Preferably, the traffic management system is used to effectively alleviate traffic congestion and reduce the occurrence of traffic accidents. On ordinary roads such as urban roads, the traffic management system can effectively help the traffic management department organize and manage traffic flow through dynamic traffic lights, and can collect the waiting time of the dynamic traffic lights in real time and send it to the system data acquisition module. After intelligent analysis through the cloud platform, the route can be reasonably planned.

[0013] Preferably, the traffic management system is used to transmit the current information to the data acquisition module through the ramp signal. After the data acquisition module pre-processes the information through the data pre-processing module, it transmits it to the cloud platform through the communication module for storage and analysis, and finally sends it to the vehicle terminal interactive system through the communication module. The personalized service module on the vehicle terminal interactive system can provide users with intelligent navigation and change routes in advance based on user portraits and data results from in-depth mining and analysis by the cloud platform, which can prevent drivers from continuing to move forward, thereby improving the traffic efficiency of road intersections and making road traffic smoother.

[0014] Preferably, the traffic information system is used to obtain data through roadside sensors and moving cars.

[0015] Preferably, before cleaning the data collected by the vehicle-mounted GPS module through the data preprocessing module, the data collected by the vehicle-mounted GPS module needs to be standardized so that it has a unified format to facilitate subsequent cleaning and repair operations.

[0016] Preferably, the rules of the standardization process are as follows: 1. a unique data number is assigned to each vehicle to achieve vehicle identification;

[0017] 2. Date and time information is processed in the form of year, month, and day. For example, January 1, 2019 is converted into 20190101, and the time is converted into seconds.

[0018] 3. The latitude and longitude geographic location information of the moving vehicle needs to be converted into decimal form, and the unit of the vehicle's speed must be unified into km / h.

[0019] Preferably, the data visualization module is used to display the results of the cloud platform analysis to users in intuitive forms such as charts and maps to facilitate user understanding and use.

[0020] Preferably, the alarm module is used to alert the driver when the on-board camera detects that the driver is drowsy during driving, when the on-board GPS module detects that the vehicle deviates from the set driving route, and when the on-board radar detects a dangerous obstacle and needs to brake during driving.

[0021] Preferably, the personalized service module is used to provide users with personalized services such as driving behavior analysis, vehicle fault warning, intelligent navigation, etc. based on user portraits and data results from deep mining and analysis of the cloud platform.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] 1. By dividing the data acquisition module into two parts, the system data acquisition module and the status data acquisition module, the system data acquisition module can collect Internet of Vehicles data in real time from data sources such as traffic management systems, traffic information systems, intelligent parking systems, and roadside units. The status data acquisition module can collect vehicle operation data, environmental data, user behavior data, etc. through on-board sensors, on-board GPS modules, on-board cameras, on-board radars, and driving recorders. It has a wide range of detection types and complete data detection, which can provide strong support for improving traffic safety, optimizing traffic efficiency, and improving driving experience. It has important practical significance and application value.

[0024] 2. By setting up the data preprocessing module, the raw data collected by the data acquisition module can be cleaned, denoised, format converted, and other operations can be performed, which can provide high-quality data for subsequent storage and analysis of the cloud platform. By setting up the communication module, it is convenient for the data acquisition module, the data preprocessing module, the cloud platform and the vehicle terminal interactive system to communicate and transmit data. By setting up the data visualization module, the data visualization module can display the results of the cloud platform analysis to the user in an intuitive form such as charts and maps, which is convenient for users to understand and use. By setting up the alarm module, the alarm module can warn the driver when the on-board camera detects that the driver is drowsy during driving, when the on-board GPS module detects that the vehicle deviates from the set driving route, and when the on-board radar detects that a dangerous obstacle needs to be braked during driving, so as to avoid accidents. By setting up the personalized service module, the personalized service module can provide users with personalized services based on user portraits and the data results of deep mining and analysis of the cloud platform, such as driving behavior analysis, vehicle fault warning, intelligent navigation, etc., which can improve the experience.

[0025] 3. Traffic management systems can effectively ease traffic congestion and reduce the occurrence of traffic accidents. On ordinary roads such as urban roads, traffic management systems can effectively help traffic management departments organize and manage traffic flows through dynamic traffic lights, and can collect the waiting time of dynamic traffic lights in real time and send it to the system data acquisition module. After intelligent analysis through the cloud platform, the route can be reasonably planned. The traffic management system is used to pass the current information to the data acquisition module through the ramp signal. The data acquisition module pre-processes the information through the data pre-processing module, and transmits it to the cloud platform for storage and analysis through the communication module, and finally sends it to the vehicle terminal interactive system through the communication module. The personalized service module on the vehicle terminal interactive system can provide users with intelligent navigation and change routes in advance based on user portraits and the data results of deep mining and analysis by the cloud platform, which can prevent drivers from continuing to move forward, thereby improving the traffic efficiency of road intersections and making road traffic smoother. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0027] Figure 1 This is a system architecture diagram of an artificial intelligence-based Internet of Vehicles data analysis system of the present invention.

[0028] In the figure: 1. Data acquisition module;

[0029] 2. Data preprocessing module;

[0030] 3. Communication module;

[0031] 4. Cloud platform;

[0032] 5. In-vehicle terminal interactive system. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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. Based on the embodiments of 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.

[0034] Examples, such as Figure 1 As shown, an Internet of Vehicles data analysis system based on artificial intelligence includes a data acquisition module 1, a data preprocessing module 2, a communication module 3, a cloud platform 4 and a vehicle terminal interaction system 5;

[0035] The data acquisition module 1 includes a system data acquisition module and a status data acquisition module. The system data acquisition module is used to collect Internet of Vehicles data in real time from data sources such as traffic management systems, traffic information systems, intelligent parking systems, and roadside units. The status data acquisition module includes vehicle-mounted sensors, vehicle-mounted GPS modules, vehicle-mounted cameras, vehicle-mounted radars, and driving recorders. Vehicle operation data, environmental data, user behavior data, etc. can be collected through vehicle-mounted sensors, vehicle-mounted GPS modules, vehicle-mounted cameras, vehicle-mounted radars, and driving recorders. By dividing the data acquisition module into two parts, the system data acquisition module and the status data acquisition module can be used to collect vehicle operation data, environmental data, user behavior data, etc. The system data acquisition module can collect Internet of Vehicles data in real time from data sources such as traffic management systems, traffic information systems, intelligent parking systems, and roadside units. The status data acquisition module can collect vehicle operation data, environmental data, user behavior data, etc. through on-board sensors, on-board GPS modules, on-board cameras, on-board radars, and driving recorders. It has a wide range of detection types and complete data detection, which can provide strong support for improving traffic safety, optimizing traffic efficiency, and improving driving experience. It has important practical significance and application value.

[0036] The data preprocessing module 2 is used to clean, denoise, and convert the format of the raw data collected by the data acquisition module 1 to provide high-quality data for subsequent analysis;

[0037] The communication module 3 is used for communication and data transmission between the data acquisition module 1, the data preprocessing module 2, the cloud platform 4 and the vehicle terminal interactive system 5;

[0038] The cloud platform 4 is used for data storage, data analysis, data fusion and data modeling of the data collected by the data acquisition module 1;

[0039] The vehicle terminal interactive system 5 includes a data visualization module, an alarm module, and a personalized service module. The data visualization module can display the results of the cloud platform analysis to the user in an intuitive form such as charts and maps, which is convenient for the user to understand and use. The personalized service module can provide users with personalized services based on user portraits and data results of deep mining and analysis of the cloud platform, such as driving behavior analysis, vehicle fault warning, intelligent navigation, etc., which can improve the experience. The alarm module can warn the driver when the on-board camera detects that the driver is drowsy during driving, when the on-board GPS module detects that the vehicle deviates from the set driving route, and when the on-board radar detects a dangerous obstacle and needs to brake during driving, so as to avoid accidents.

[0040] As a further implementation scheme of the above invention: the vehicle-mounted GPS module is used in conjunction with a driving recorder to accurately record vehicle driving data such as the vehicle's driving route, driving speed, stop location and stop time.

[0041] As a further implementation scheme of the above invention: the traffic management system is used to effectively alleviate traffic congestion and reduce the occurrence of traffic accidents. On ordinary roads such as urban roads, the traffic management system can effectively help the traffic management department organize and manage traffic flow through dynamic traffic lights, and can collect the waiting time of the dynamic traffic lights in real time and send it to the system data acquisition module, which can be intelligently analyzed by the cloud platform 4 to reasonably plan the route.

[0042] As a further implementation scheme of the above invention: the traffic management system is used to transmit the current information to the data acquisition module through the ramp signal. After the data acquisition module pre-processes the information through the data pre-processing module 2, it is transmitted to the cloud platform 4 through the communication module 3 for storage and analysis, and finally sent to the vehicle-mounted terminal interactive system 5 through the communication module 3. The personalized service module on the vehicle-mounted terminal interactive system 5 can provide users with intelligent navigation based on user portraits and data results deeply mined and analyzed by the cloud platform 4, change the route in advance, and prevent the driver from continuing to move forward, thereby improving the traffic efficiency of road intersections and making road traffic smoother.

[0043] As a further embodiment of the above invention: the traffic information system is used to obtain data through roadside sensors and moving cars.

[0044] As a further implementation scheme of the above invention: before cleaning the data collected by the vehicle-mounted GPS module through the data preprocessing module 2, the data collected by the vehicle-mounted GPS module needs to be standardized so that it has a unified format to facilitate subsequent cleaning and repair operations.

[0045] As a further implementation scheme of the above invention: the rules of the standardization process are as follows: 1. a unique data number is assigned to each vehicle to realize the division of vehicles;

[0046] 2. Date and time information is processed in the form of year, month, and day. For example, January 1, 2019 is converted into 20190101, and the time is converted into seconds.

[0047] 3. The latitude and longitude geographic location information of the moving vehicle needs to be converted into decimal form, and the unit of the vehicle's speed must be unified into km / h.

[0048] As a further implementation scheme of the above invention: the data visualization module is used to display the analysis results of the cloud platform 4 to the user in an intuitive form such as charts and maps, so as to facilitate the user's understanding and use.

[0049] As a further implementation scheme of the above invention: the alarm module is used to alert the driver when the on-board camera detects that the driver is drowsy during driving, when the on-board GPS module detects that the vehicle deviates from the set driving route, and when the on-board radar detects a dangerous obstacle and needs to brake during driving.

[0050] As a further implementation scheme of the above invention: the personalized service module is used to provide users with personalized services such as driving behavior analysis, vehicle fault warning, intelligent navigation, etc. based on user portraits and data results deeply mined and analyzed by the cloud platform 4.

[0051] In specific implementation: the system data acquisition module can collect Internet of Vehicles data in real time from data sources such as traffic management system, traffic information system, intelligent parking system, roadside unit, etc. The status data acquisition module can collect vehicle operation data, environmental data, user behavior data, etc. through on-board sensors, on-board GPS modules, on-board cameras, on-board radars and driving recorders. The detection types are wide and the data detection is complete, which can provide strong support for improving traffic safety, optimizing traffic efficiency, and improving driving experience.

[0052] The data preprocessing module 2 can clean, denoise, convert the format and other operations on the raw data collected by the data acquisition module 1, and provide high-quality data for the subsequent storage and analysis of the cloud platform 4. The data visualization module can display the results of the cloud platform 4 analysis to the user in an intuitive form such as charts and maps, which is convenient for the user to understand and use. The alarm module can warn the driver when the on-board camera detects that the driver is drowsy during driving, when the on-board GPS module detects that the vehicle deviates from the set driving route, and when the on-board radar detects that a dangerous obstacle needs to be braked during driving, so as to avoid accidents. The personalized service module can provide users with personalized services based on user portraits and the data results of deep mining and analysis of the cloud platform, such as driving behavior analysis, vehicle fault warning, intelligent navigation, etc., which can improve the user experience;

[0053] The traffic management system can effectively alleviate traffic congestion and reduce the occurrence of traffic accidents. On ordinary roads such as urban roads, the traffic management system can effectively help the traffic management department organize and manage traffic flow through dynamic traffic lights, and can collect the waiting time of the dynamic traffic lights in real time to the system data acquisition module, which can be intelligently analyzed by the cloud platform 4 to reasonably plan the route. The traffic management system is used to transmit the current information to the data acquisition module 1 through the ramp signal. The data acquisition module 1 pre-processes the information through the data pre-processing module 2, and transmits it to the cloud platform 4 for storage and analysis through the communication module 3, and finally sends it to the vehicle terminal interactive system 5 through the communication module 3. The personalized service module on the vehicle terminal interactive system 5 can provide users with intelligent navigation and change routes in advance based on the user portrait and the data results of the cloud platform's in-depth mining and analysis, which can prevent drivers from continuing to move forward, thereby improving the traffic efficiency of road intersections and making road traffic smoother.

[0054] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. 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. An artificial intelligence-based Internet of Vehicles data analysis system, characterized by: It includes a data acquisition module (1), a data preprocessing module (2), a communication module (3), a cloud platform (4) and a vehicle terminal interactive system (5); The data acquisition module (1) comprises a system data acquisition module and a status data acquisition module. The system data acquisition module is used to collect vehicle network data in real time from data sources such as a traffic management system, a traffic information system, an intelligent parking system, and a roadside unit. The status data acquisition module comprises a vehicle-mounted sensor, a vehicle-mounted GPS module, a vehicle-mounted camera, a vehicle-mounted radar, and a driving recorder. Vehicle operation data, environmental data, user behavior data, etc. can be collected through the vehicle-mounted sensor, the vehicle-mounted GPS module, the vehicle-mounted camera, the vehicle-mounted radar, the driving recorder, and other devices. The data preprocessing module (2) is used to perform operations such as cleaning, denoising, and format conversion on the raw data collected by the data collection module (1), so as to provide high-quality data for subsequent analysis; The communication module (3) is used for communication and data transmission between the data acquisition module (1), the data preprocessing module (2), the cloud platform (4) and the vehicle terminal interactive system (5); The cloud platform (4) is used to perform data storage, data analysis, data fusion and data modeling on the data collected by the data collection module (1); The vehicle-mounted terminal interactive system (5) comprises a data visualization module, an alarm module, and a personalized service module.

2. The vehicle networking data analysis system based on artificial intelligence according to claim 1 is characterized by: The vehicle-mounted GPS module is used with a driving recorder to accurately record vehicle driving data such as the vehicle's driving route, driving speed, stop location and stop time.

3. The vehicle networking data analysis system based on artificial intelligence according to claim 1 is characterized by: The traffic management system is used to effectively alleviate traffic congestion and reduce the occurrence of traffic accidents. On ordinary roads such as urban roads, the traffic management system can effectively help the traffic management department organize and manage traffic flow through dynamic traffic lights, and can collect the waiting time of the dynamic traffic lights in real time and send it to the system data acquisition module. After intelligent analysis through the cloud platform (4), the route can be reasonably planned.

4. The vehicle networking data analysis system based on artificial intelligence according to claim 1 is characterized by: The traffic management system is used to transmit current information to a data acquisition module through a ramp signal. After the data acquisition module pre-processes the information through a data pre-processing module (2), the information is transmitted to a cloud platform (4) through a communication module (3) for storage and analysis, and finally sent to an on-board terminal interactive system (5) through the communication module (3). The personalized service module on the on-board terminal interactive system (5) can provide intelligent navigation for users based on user portraits and data results deeply mined and analyzed by the cloud platform (4), and can change the route in advance, thereby preventing the driver from continuing to move forward, thereby improving the traffic efficiency of road intersections and making road traffic smoother.

5. The vehicle networking data analysis system based on artificial intelligence according to claim 1 is characterized by: Traffic information systems are used to obtain data from roadside sensors and moving cars.

6. The vehicle networking data analysis system based on artificial intelligence according to claim 1 is characterized by: Before the data preprocessing module (2) cleans the data collected by the vehicle-mounted GPS module, it is necessary to standardize the data collected by the vehicle-mounted GPS module so that it has a unified format to facilitate subsequent cleaning and repair operations.

7. The vehicle networking data analysis system based on artificial intelligence according to claim 6 is characterized by: The rules for standardization are as follows:

1. Assign a unique data number to each vehicle to distinguish the vehicles; 2. Date and time information is processed in the form of year, month, and day. For example, January 1, 2019 is converted into 20190101, and the time is converted into seconds.

3. The latitude and longitude geographic location information of the moving vehicle needs to be converted into decimal form, and the unit of the vehicle's speed must be unified into km / h.

8. The vehicle networking data analysis system based on artificial intelligence according to claim 1 is characterized by: The data visualization module is used to display the results of the cloud platform (4) analysis to the user in an intuitive form such as charts and maps, so as to facilitate the user's understanding and use.

9. The vehicle networking data analysis system based on artificial intelligence according to claim 1 is characterized by: The alarm module is used to alert the driver when the on-board camera detects that the driver is drowsy while driving, when the on-board GPS module detects that the vehicle deviates from the set driving route, and when the on-board radar detects a dangerous obstacle and needs to brake during driving.

10. The vehicle networking data analysis system based on artificial intelligence according to claim 1, characterized in that: The personalized service module is used to provide users with personalized services such as driving behavior analysis, vehicle fault warning, intelligent navigation, etc. based on user portraits and data results from in-depth mining and analysis of the cloud platform (4).

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