CN113063428A - Vehicle navigation auxiliary system based on vehicle big data - Google Patents
Vehicle navigation auxiliary system based on vehicle big data Download PDFInfo
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- CN113063428A CN113063428A CN202110264465.8A CN202110264465A CN113063428A CN 113063428 A CN113063428 A CN 113063428A CN 202110264465 A CN202110264465 A CN 202110264465A CN 113063428 A CN113063428 A CN 113063428A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
Abstract
The invention relates to a vehicle navigation auxiliary system based on vehicle big data, which belongs to the field of vehicle navigation and mainly provides a vehicle navigation auxiliary system which can be connected with the vehicle big data of a traffic command center and can calculate to obtain an optimal navigation path, and the vehicle navigation auxiliary system comprises a navigation control module, a voice input module, a voice recognition module, a navigation input module, a user interface module, a vehicle big data module, a real-time positioning module, a map updating module, a map storage module, a path algorithm module, a map display module, a voice broadcasting module, a speed detection module and a vehicle distance detection module; the navigation control module is in signal data connection with the path algorithm module. According to the invention, the road condition crowding condition and the road condition on the road surface can be known in real time, reference is provided for an algorithm, the driving route with the shortest time consumption or the shortest distance can be calculated, the map is updated in real time in a networking manner, the navigation is more scientific, the speed and the distance between the vehicle and the vehicle in front are reminded in real time, and the driving process is safer.
Description
Technical Field
The invention relates to the field of vehicle navigation, in particular to a vehicle navigation auxiliary system based on vehicle big data.
Background
The existing vehicle navigation equipment mostly adopts GPS navigation, the vehicle GPS navigation receives data information transmitted by at least 3 of 24 g GPS satellites surrounding the earth through an antenna, and determines the position coordinate through GPS satellite signals by combining an electronic map stored in a vehicle, thereby determining the exact position of a navigation object in the electronic map.
In order to effectively manage vehicle running on a traffic road surface, a plurality of cameras are distributed on the road to shoot road conditions in real time, road traffic command management centers are arranged in all places, pictures shot in real time are uniformly transmitted to the management centers to form data resources, most of the existing GPS navigation systems cannot acquire the data resources, and during navigation, the road traffic jam condition and the latest road condition cannot be known in time, so that the navigation result is not an optimal path.
Therefore, it is necessary to design a vehicle navigation assistance system based on vehicle big data.
Disclosure of Invention
The invention mainly provides a vehicle navigation auxiliary system which can be connected with vehicle big data of a traffic command center and calculate to obtain an optimal navigation path.
The invention provides a vehicle navigation auxiliary system based on vehicle big data, which comprises a navigation control module, a voice input module, a voice recognition module, a navigation input module, a user interface module, a vehicle big data module, a real-time positioning module, a map updating module, a map storage module, a path algorithm module, a map display module, a voice broadcasting module, a speed detection module and a vehicle distance detection module, wherein the voice input module is used for inputting vehicle big data;
the navigation control module is in signal data connection with the path algorithm module, the path algorithm module is in signal data connection with the map storage module, the vehicle big data module is in signal data connection with the path algorithm module, and the navigation control module is in signal data connection with the map display module and the voice broadcasting module.
In a preferred embodiment, the voice input module is in signal data connection with the voice recognition module, the voice recognition module is in signal data connection with the navigation control module, the navigation input module is in signal connection with the user interface module, and the user interface module is in signal connection with the navigation control module.
In a preferred embodiment, the real-time positioning module signals data to the routing algorithm module, and the map updating module signals data to the map storage module.
In a preferred embodiment, the speed detection module is a vehicle speed sensor, and the speed detection module is in signal data connection with the navigation control module.
In a preferred embodiment, the vehicle distance detection module is an ultrasonic distance measurement sensor, and the vehicle distance detection module is in signal data connection with the navigation control module.
In a preferred embodiment, the map updating module is connected to the internet via wifi.
The invention has the technical effects and advantages that:
the road condition crowding condition and the road condition can be known in real time, reference is provided for an algorithm, the driving route with the shortest time consumption or the shortest distance can be calculated, the map networking is updated in real time, the navigation is more scientific, the speed and the distance between the vehicle and the front vehicle are reminded in real time, and the driving process is safer.
Drawings
Fig. 1 is a logic block diagram of the operation of each module.
Description of reference numerals: 1. a navigation control module; 2. a voice input module; 3. a voice recognition module; 4. a navigation input module; 5. a user interface module; 6. a vehicle big data module; 7. a real-time positioning module; 8. a map update module; 9. a map storage module; 10. a path algorithm module; 11. a map display module; 12. a voice broadcasting module; 13. a speed detection module; 14. and a vehicle distance detection module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
A vehicle navigation auxiliary system based on vehicle big data is shown in figure 1 and comprises a navigation control module 1, a voice input module 2, a voice recognition module 3, a navigation input module 4, a user interface module 5, a vehicle big data module 6, a real-time positioning module 7, a map updating module 8, a map storage module 9, a path algorithm module 10, a map display module 11, a voice broadcasting module 12, a speed detection module 13 and a vehicle distance detection module 14;
navigation control module 1 adopts miniature singlechip, intelligent control ware etc, voice input module 2 is the microphone, be used for gathering pronunciation, navigation input module 4 adopts intelligent touch screen, the key input information, vehicle big data module 6 contains the wifi module, be used for connecting the traffic guidance center in various places, with traffic data transmission to route algorithm module 10 in, real-time orientation module 7 adopts the GPS module, be used for real-time detection vehicle position information, route algorithm module 10 is optimum, the shortest route algorithm (for prior art), for example degree of depth is prior to the algorithm, the breadth is prior to the algorithm, Dijstra shortest path and floyd shortest path algorithm, voice broadcast module 12 is the speaker.
The navigation control module 1 is in signal data connection with the path algorithm module 10, the path algorithm module 10 is in signal data connection with the map storage module 9, the vehicle big data module 6 is in signal data connection with the path algorithm module 10, when the navigation control module works, the path algorithm module 10 calculates the traffic route with the fastest time or the shortest route in real time according to road condition data obtained by the vehicle big data module 6, the navigation control module 1 is in signal data connection with the map display module 11 and the voice broadcasting module 12, and the navigation control module 1 displays the calculated traffic route through the map display module 11 or broadcasts the calculated traffic route out through the voice broadcasting module 12.
The voice input module 2 is connected with the voice recognition module 3 through signal data, the voice recognition module 3 is connected with the navigation control module 1 through signal data, the navigation input module 4 is connected with the user interface module 5 through signals, the user interface module 5 is connected with the navigation control module 1 through signals, the navigation control module 1 analyzes input voice, then the optimal or shortest route is obtained through the path algorithm module 10, and the optimal or shortest route is displayed through the map display module 11 or broadcasted through the voice broadcast module 12.
The real-time positioning module 7 is connected with the map storage module 9 through signal data, and the built-in electronic map is updated in real time.
The speed detection module 13 is a vehicle speed sensor and is used for detecting the vehicle speed, the speed detection module 13 is connected with the navigation control module 1 through signal data, and when the vehicle speed exceeds the maximum value of a road section, the navigation control module 1 can control the voice broadcast module 12 to send out alarm sound.
The vehicle distance detection module 14 is an ultrasonic ranging sensor and is used for detecting the distance between the vehicle and the front vehicle, the vehicle distance detection module 14 is connected with the navigation control module 1 through signal data, and when the vehicle approaches the tail of the front vehicle, the navigation control module 1 can control the voice broadcast module 12 to send out alarm sound.
The map updating module 8 is connected with the internet through wifi, and can update the electronic map in the map storage module 9 in real time.
The system learns the traffic and road conditions of the road surface in real time through the vehicle big data module 6 and databases of traffic command centers of all regions, provides reference for the path algorithm module 10 to plan the optimal and shortest paths, and can plan the optimal driving path in real time.
It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by one of ordinary skill in the art and related arts based on the embodiments of the present invention without any creative effort, shall fall within the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are generally practiced in the art without specific recitation or limitation.
Claims (6)
1. A vehicle navigation auxiliary system based on vehicle big data is characterized by comprising a navigation control module (1), a voice input module (2), a voice recognition module (3), a navigation input module (4), a user interface module (5), a vehicle big data module (6), a real-time positioning module (7), a map updating module (8), a map storage module (9), a path algorithm module (10), a map display module (11), a voice broadcasting module (12), a speed detection module (13) and a vehicle distance detection module (14);
navigation control module (1) and route algorithm module (10) signal data connection each other, route algorithm module (10) signal data connection map memory module (9), vehicle big data module (6) signal data connection route algorithm module (10), navigation control module (1) signal data connection map display module (11) and voice broadcast module (12).
2. The vehicle big data-based vehicle navigation assistance system according to claim 1, wherein the voice input module (2) is in signal data connection with the voice recognition module (3), the voice recognition module (3) is in signal data connection with the navigation control module (1), the navigation input module (4) is in signal connection with the user interface module (5), and the user interface module (5) is in signal connection with the navigation control module (1).
3. A vehicle big data based vehicle navigation assistance system according to claim 2, characterized in that the real-time positioning module (7) signals data to the path algorithm module (10), and the map updating module (8) signals data to the map storage module (9).
4. The vehicle big data-based vehicle navigation auxiliary system according to claim 3, wherein the speed detection module (13) is a vehicle speed sensor, and the speed detection module (13) is in signal data connection with the navigation control module (1).
5. The vehicle big data-based vehicle navigation assistance system according to claim 4, wherein the vehicle distance detection module (14) is an ultrasonic distance measurement sensor, and the vehicle distance detection module (14) is in signal data connection with the navigation control module (1).
6. The vehicle big data-based vehicle navigation assistance system according to claim 5, wherein the map updating module (8) is connected to the Internet via wifi.
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Cited By (1)
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CN113701779A (en) * | 2021-09-08 | 2021-11-26 | 苏州玛旭自动化科技有限公司 | Road intelligent navigation system and navigation method based on big data |
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