New energy automobile AIOT system

Abstract

The invention relates to a new energy automobile AIOT system, and belongs to the technical field of automobile Internet of Things, and the new energy automobile AIOT system comprises a central control subsystem, a gateway subsystem, a service value-added subsystem and an application docking station which are connected in sequence. The central control subsystem is used for front-end display and instruction interaction; the gateway subsystem is used for connecting the central control subsystem and the service value-added subsystem and transmitting information; the service value-added subsystem is used for collecting and analyzing the information of the application docking station, and outputting a corresponding execution strategy based on an analysis result; the application docking station is used for connecting all parts of the automobile. According to the invention, an intelligent scene service platform composed of cloud network connection, data connection and application connection is constructed around intelligent product service, and the platform focuses on two vertical fields of intelligent interaction equipment and intelligent Internet of Vehicles, so that application scenes are explored actively, and a series of scene service products are introduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile Internet of Things, and in particular, relates to an AIOT system for new energy automobiles. Background Art

[0002] The current application expansion dock of AIOT (artificial intelligence AI + Internet of Things IoT) for new energy vehicles is relatively simple and cannot meet all the needs of users. The existing system cannot achieve deep interaction between the vehicle and the surrounding environment, and has deficiencies in energy management and fault diagnosis.

[0003] Therefore, it is necessary to provide a new new energy vehicle AIOT system to solve the above technical problems. Summary of the invention

[0004] The purpose of the present disclosure is to provide a new energy vehicle AIOT system in order to solve the above problems.

[0005] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0006] A new energy vehicle AIOT system, comprising a central control subsystem, a gateway subsystem, a service value-added subsystem and an application expansion dock connected in sequence;

[0007] The central control subsystem is used for front-end display and command interaction;

[0008] The gateway subsystem is used to connect the central control subsystem and the service value-added subsystem and perform information transmission;

[0009] The service value-added subsystem is used to collect and analyze the information of the application expansion dock, and output a corresponding execution strategy based on the analysis result;

[0010] The application expansion dock is used to connect various components of the car.

[0011] As a further optimization solution of the present disclosure, the gateway subsystem includes a vehicle-mounted T-BOX, which is connected to the Internet of Vehicles service provider TSP, and the Internet of Vehicles service provider TSP is connected to the IoT cloud platform. Users can establish a connection with the IoT cloud platform through a mobile phone APP.

[0012] As a further optimization scheme of the present disclosure, the service value-added subsystem includes a data acquisition module, a data analysis module and a scenario service module; the data acquisition module is used to collect information of the application expansion dock; the data analysis module is used to analyze the acquired information; and the scenario service module is used to provide corresponding services based on the analysis results.

[0013] As a further optimization solution of the present disclosure, the data acquisition module is also used to collect surrounding environment data, vehicle status data and road traffic data.

[0014] As a further optimization solution of the present disclosure, the surrounding environment data includes air quality data, noise level data and vehicle surrounding obstacle data.

[0015] As a further optimization solution of the present disclosure, the vehicle status data includes cruising range, vehicle speed and rotation speed, steering angle, and battery voltage and power percentage.

[0016] As a further optimization solution of the present disclosure, the road traffic data includes road type, road surface conditions, traffic signs and markings, real-time road condition information, lane information and vehicle congestion conditions.

[0017] As a further optimization solution of the present disclosure, the data analysis module is used to analyze the acquired information; the scenario service module is used to provide corresponding services based on the analysis results, including:

[0018] By collecting road traffic data and combining it with artificial intelligence algorithms for analysis and decision-making, the vehicle's autonomous driving can be achieved;

[0019] Interact with the vehicle through the central control subsystem to control the vehicle's auxiliary functions, including navigation, music playback, air conditioning adjustment, and window lifting;

[0020] By collecting vehicle status data and monitoring various parameters of the vehicle in real time, when a vehicle fails, it can quickly and accurately diagnose the type and location of the fault and provide the corresponding fault code and solution; based on the vehicle's usage and historical data, it can predict the life of vehicle components and possible failures, and remind the owner to perform maintenance and care in advance to avoid vehicle failures during driving;

[0021] Integrates driver behavior analysis, safety assistance and health monitoring, including fatigue monitoring and drunk driving warning; distraction monitoring data analysis can detect whether the driver has distracted behavior and promptly remind the driver to concentrate.

[0022] As a further optimization scheme of the present invention, the application expansion dock includes a central expansion dock of the dashboard, a rearview mirror base expansion dock, a secondary instrument panel expansion dock, a central cup holder expansion dock, an armrest box expansion dock, a rear headrest expansion dock, a roof expansion dock, a rear ceiling light expansion dock, a rear seat expansion dock, a rear windshield high expansion dock, a trunk expansion dock and a virtual expansion dock.

[0023] As a further optimization scheme of the present disclosure, the central expansion dock of the dashboard is used to connect the head-up display system HUD and the AI ​​robot; the expansion dock of the rearview mirror base is used to connect the trip recorder; the auxiliary instrument panel expansion dock is used to connect the makeup mirror; the central cup holder expansion dock is used to connect the fragrance, water cup, wireless charger and drone remote control; the armrest box expansion dock is used to connect the refrigerator, storage equipment and charging equipment; the rear headrest expansion dock is used for the rear voice projection entertainment equipment; the roof expansion dock is used to connect the searchlight and the drone charging equipment; the rear ceiling light expansion dock is used to connect the study lamp, the radiation lamp and the starry sky ceiling; the rear seat expansion dock is used to connect the smart safety seat; the rear windshield high expansion dock is used to connect the rear camera; the trunk expansion dock is used to connect the drone and the refrigerator; the virtual expansion dock is used to connect the Bluetooth device.

[0024] The beneficial effects of the present disclosure are:

[0025] This disclosure revolves around intelligent product services, and builds an intelligent scenario service platform composed of cloud network connection, data connection, and application connection. It focuses on the two vertical fields of intelligent interactive devices and intelligent vehicle networking, actively explores application scenarios, and launches a series of scenario service products; by integrating artificial intelligence algorithms and communication technologies, it improves the safety, energy efficiency and user experience of new energy vehicles; realizes intelligent interconnection and data interaction between vehicles, vehicles and infrastructure, and vehicles and the cloud, and provides a variety of scenario services. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the system framework in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] The present application is further described in detail below in conjunction with the accompanying drawings. It is necessary to point out here that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technical personnel in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0028] like Figure 1 As shown, a new energy vehicle AIOT system includes a central control subsystem, a gateway subsystem, a service value-added subsystem and an application expansion dock;

[0029] The central control subsystem is used for front-end display and command interaction;

[0030] The gateway subsystem is used to connect the central control subsystem and the service value-added subsystem and perform information transmission;

[0031] The service value-added subsystem is used to collect and analyze the information of the application expansion dock, and output a corresponding execution strategy based on the analysis result;

[0032] The application expansion dock is used to connect various components of the car.

[0033] The gateway subsystem includes a vehicle-mounted T-BOX, which is connected to the Internet of Vehicles service provider TSP, and the Internet of Vehicles service provider TSP is connected to the IoT cloud platform. Users can establish a connection with the IoT cloud platform through a mobile phone APP.

[0034] The service value-added subsystem includes a data acquisition module, a data analysis module and a scenario service module; the data acquisition module is used to collect information of the application expansion dock; the data analysis module is used to analyze the acquired information; and the scenario service module is used to provide corresponding services based on the analysis results.

[0035] The data acquisition module is also used to collect surrounding environment data, vehicle status data and road traffic data.

[0036] The surrounding environment data includes air quality data, noise level data and vehicle surrounding obstacle data.

[0037] The vehicle status data includes cruising range, vehicle speed and rotation speed, steering angle, and battery voltage and power percentage.

[0038] The road traffic data includes road type, road surface conditions, traffic signs and markings, real-time road condition information, lane information and vehicle congestion conditions.

[0039] The data analysis module is used to analyze the acquired information; the scenario service module is used to provide corresponding services based on the analysis results, including:

[0040] By collecting road traffic data and combining it with artificial intelligence algorithms for analysis and decision-making, the vehicle's autonomous driving can be achieved;

[0041] Interact with the vehicle through the central control subsystem to control the vehicle's auxiliary functions, including navigation, music playback, air conditioning adjustment, and window lifting;

[0042] By collecting vehicle status data and monitoring various parameters of the vehicle in real time, when a vehicle fails, it can quickly and accurately diagnose the type and location of the fault and provide the corresponding fault code and solution; based on the vehicle's usage and historical data, it can predict the life of vehicle components and possible failures, and remind the owner to perform maintenance and care in advance to avoid vehicle failures during driving;

[0043] It integrates driver behavior analysis, safety assistance and health monitoring functions, including fatigue monitoring and drunk driving warning; the distraction monitoring function monitors whether the driver has distracted behavior and promptly reminds the driver to concentrate.

[0044] The application expansion dock includes the dashboard central expansion dock, the rearview mirror base expansion dock, the auxiliary instrument panel expansion dock, the central cup holder expansion dock, the armrest box expansion dock, the rear headrest expansion dock, the roof expansion dock, the rear ceiling light expansion dock, the rear seat expansion dock, the rear windshield high expansion dock, the trunk expansion dock and the virtual expansion dock. The central expansion dock of the dashboard is used to connect the head-up display system HUD and the AI ​​robot; the expansion dock at the base of the rearview mirror is used to connect the trip recorder; the auxiliary instrument panel expansion dock is used to connect the makeup mirror; the central cup holder expansion dock is used to connect fragrances, water cups, wireless chargers and drone remote controls; the armrest box expansion dock is used to connect refrigerators, storage devices and charging devices; the rear headrest expansion dock is used for rear voice projection entertainment devices; the roof expansion dock is used to connect searchlights and drone charging devices; the rear ceiling light expansion dock is used to connect study lights, radiation lights and starry sky ceilings; the rear seat expansion dock is used to connect smart safety seats; the rear windshield high-position expansion dock is used to connect a rear-facing camera; the trunk expansion dock is used to connect drones and refrigerators; the virtual expansion dock is used to connect Bluetooth devices.

[0045] The above-mentioned embodiments only express several implementation methods of the present disclosure, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present disclosure. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present disclosure, and these all belong to the protection scope of the present disclosure.

Claims

1. A new energy vehicle AIOT system, characterized in that: It includes a central control subsystem, a gateway subsystem, a service value-added subsystem and an application expansion dock connected in sequence; The central control subsystem is used for front-end display and command interaction; The gateway subsystem is used to connect the central control subsystem and the service value-added subsystem and perform information transmission; The service value-added subsystem is used to collect and analyze the information of the application expansion dock, and output a corresponding execution strategy based on the analysis result; The application expansion dock is used to connect various components of the car.

2. A new energy vehicle AIOT system according to claim 1, characterized in that: The gateway subsystem includes a vehicle-mounted T-BOX, which is connected to the Internet of Vehicles service provider TSP, and the Internet of Vehicles service provider TSP is connected to the IoT cloud platform. Users can establish a connection with the IoT cloud platform through a mobile phone APP.

3. The AIOT system for new energy vehicles according to claim 1 is characterized in that: The service value-added subsystem includes a data acquisition module, a data analysis module and a scenario service module; the data acquisition module is used to collect information of the application expansion dock; the data analysis module is used to analyze the acquired information; and the scenario service module is used to provide corresponding services based on the analysis results.

4. A new energy vehicle AIOT system according to claim 3, characterized in that: The data acquisition module is also used to collect surrounding environment data, vehicle status data and road traffic data.

5. The AIOT system for new energy vehicles according to claim 4 is characterized in that: The surrounding environment data includes air quality data, noise level data and vehicle surrounding obstacle data.

6. The AIOT system for new energy vehicles according to claim 4, characterized in that: The vehicle status data includes cruising range, vehicle speed and rotation speed, steering angle, and battery voltage and power percentage.

7. The AIOT system for new energy vehicles according to claim 4, characterized in that: The road traffic data includes road type, road surface conditions, traffic signs and markings, real-time road condition information, lane information and vehicle congestion conditions.

8. The AIOT system for new energy vehicles according to claim 4, characterized in that: The data analysis module is used to analyze the acquired information; the scenario service module is used to provide corresponding services based on the analysis results, including: By collecting road traffic data and combining it with artificial intelligence algorithms for analysis and decision-making, the vehicle's autonomous driving can be achieved; Interact with the vehicle through the central control subsystem to control the vehicle's auxiliary functions, including navigation, music playback, air conditioning adjustment, and window lifting; By collecting vehicle status data and monitoring various parameters of the vehicle in real time, when a vehicle fails, it can quickly and accurately diagnose the type and location of the fault and provide the corresponding fault code and solution; based on the vehicle's usage and historical data, it can predict the life of vehicle components and possible failures, and remind the owner to perform maintenance and care in advance to avoid vehicle failures during driving; Integrates driver behavior analysis, safety assistance and health monitoring, including fatigue monitoring and drunk driving warning; distraction monitoring data analysis can detect whether the driver has distracted behavior and promptly remind the driver to concentrate.

9. The new energy vehicle AIOT system according to claim 1, characterized in that: The application expansion dock includes the dashboard central expansion dock, the rearview mirror base expansion dock, the auxiliary instrument panel expansion dock, the central cup holder expansion dock, the armrest box expansion dock, the rear headrest expansion dock, the roof expansion dock, the rear ceiling light expansion dock, the rear seat expansion dock, the rear windshield high expansion dock, the trunk expansion dock and the virtual expansion dock.

10. The AIOT system for new energy vehicles according to claim 9, characterized in that: The central expansion dock of the dashboard is used to connect the head-up display system HUD and the AI ​​robot; the expansion dock at the base of the rearview mirror is used to connect the trip recorder; the auxiliary instrument panel expansion dock is used to connect the makeup mirror; the central cup holder expansion dock is used to connect fragrances, water cups, wireless chargers and drone remote controls; the armrest box expansion dock is used to connect refrigerators, storage devices and charging devices; the rear headrest expansion dock is used for rear voice projection entertainment devices; the roof expansion dock is used to connect searchlights and drone charging devices; the rear ceiling light expansion dock is used to connect study lights, radiation lights and starry sky ceilings; the rear seat expansion dock is used to connect smart safety seats; the rear windshield high-position expansion dock is used to connect a rear-facing camera; the trunk expansion dock is used to connect drones and refrigerators; the virtual expansion dock is used to connect Bluetooth devices.

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