CN205679239U - Intelligent vehicle navigation system and intelligent vehicle - Google Patents

Abstract

The utility model discloses an intelligent vehicle navigation system and an intelligent vehicle, wherein the navigation system includes: a weather information acquisition module, a road surface information acquisition module, and a communication module for obtaining the weather information, road surface information, and location of the route path obtained by the intelligent vehicle The information is transmitted to the navigation server, so that the navigation server generates weather and road surface navigation information based on the weather information, road surface information and location information related to the weather and road surface conditions obtained by at least one smart car; the navigation processing module obtains the weather and road surface returned by the navigation server according to the user navigation request Navigation information, the weather road surface navigation information that display module contains weather information, road surface information, so that determine navigation path according to the weather road surface navigation information containing weather information, road surface information; The intelligent vehicle of the utility model can upload the weather road surface information that real-time acquisition The navigation server can also obtain the server to determine the vehicle navigation route based on the weather and road condition information shared by multiple users.

Description

Smart vehicle navigation system and smart car

technical field

The utility model relates to the field of vehicle navigation, in particular to an intelligent vehicle navigation system and an intelligent vehicle.

Background technique

Car navigation is a commonly used technology in modern society, which can provide users with accurate route navigation information. Car navigation in the prior art is generally based on GPS, etc. Although GPS can provide accurate navigation paths, when special circumstances such as rain, snow, hail and mudslides occur, GPS navigation cannot reflect these weather conditions in time . Especially in the rainy weather, the potholes, culverts, and tunnels on the road are prone to water accumulation. If the driver cannot obtain the rainfall information or the water accumulation on the road in time, it is easy to enter the puddle by mistake, causing the engine to flood or the vehicle to overturn, etc. Safety accidents: For example, in Beijing, there have been major accidents in which people in the car drowned because the car owner was not familiar with the road conditions and entered a stagnant culvert. The settings of the rainfall monitoring and waterlogging monitoring systems in the prior art are relatively fixed, and cars cannot monitor the waterlogging information of each road section in real time, making it inconvenient for navigation users to give navigation strategies based on current road conditions. In addition, the existing technology cannot obtain real-time road surface and weather conditions based on the vehicle and share them with other users, and cannot provide users with smart cars that consider user needs.

Therefore, it is necessary to propose a system for vehicle navigation based on real-time weather conditions and road conditions to solve the above-mentioned technical problems in the prior art.

Utility model content

A technical problem to be solved by the utility model is how to provide a vehicle navigation system based on real-time weather conditions and road conditions to solve the above-mentioned technical problems in the prior art.

The utility model provides an intelligent vehicle navigation system, comprising: a weather information acquisition module, used to acquire weather information of the route of the intelligent vehicle and location information related to the weather information; a road surface information acquisition module, used to acquire the route of the intelligent vehicle Road surface information and location information related to the road surface information; the communication module is connected with the weather information acquisition module and the road surface information acquisition module, and is used to obtain the weather information of the route path obtained by the smart car, the location information related to the weather information, and the route path The road surface information and the location information related to the road surface information are transmitted to the navigation server, so that the navigation server generates weather and road surface navigation information according to the weather information, road surface information and location information obtained by at least one smart car; the navigation processing module is connected with the communication module , used to obtain the weather and road surface navigation information returned by the navigation server according to the user's navigation request; the display module is connected to the navigation processing module, and is used to display the weather and road surface navigation information containing weather information and/or road surface information, so that according to the weather information and/or road surface navigation information \ Or the weather road surface navigation information of the road surface information to determine the navigation route.

Further, the navigation processing module includes: a location determining unit, configured to determine the current location information of the user; a receiving unit, configured to receive the navigation request of the user, and the navigation request of the user includes at least a navigation destination address; a sending unit, connected with the receiving unit, the location The determination unit is connected to send the user's navigation destination address and the user's current location information to the communication module; the communication module is used to send the navigation destination address and the user's current location information to the navigation server, so that the navigation server can use the user's navigation destination address , the user's current location information and the user's navigation route information calculated by the weather and road navigation information, wherein the navigation route is to avoid the severe weather exceeding the first set threshold and/or the road passability less than the second set threshold Navigation path; the communication module is used to receive navigation path information and send the navigation path information to the display module.

Further, the weather information that the weather information acquisition module is used to acquire includes rainfall information, snow volume information, and weather severity information related to the road surface; the road surface information that the road surface information acquisition module is used to acquire includes road area water information, road area snow information , Passability information of the road surface.

Further, the weather information acquisition module includes a rain sensor installed on the windshield wiper, and the rain sensor is used to obtain real-time rainfall information on the route of the smart car; the position determination unit is used to obtain position information related to the rain; the communication module communicates with the rain sensor, The location determination unit is connected to transmit the rainfall information and the location information related to the rainfall to the navigation server, so that the navigation server can form rainfall navigation information according to the rainfall information of different regions acquired by multiple intelligent vehicles.

Further, it also includes: a snow sensor, which is used to acquire snow volume information on the path of the smart car in real time; a position determining unit, which is used to acquire position information related to the snow volume; and a communication module connected to the snow volume sensor, which is used to The snow volume information and the location information related to the snow volume are transmitted to the navigation server, so that the navigation server can form snow volume navigation information according to the snow volume information in different regions acquired by multiple smart vehicles.

Further, the road surface information acquisition module includes a 360-degree surround-view camera; the 360-degree surround-view camera is used to obtain real-time road surface water information on the path of the smart car; the position determination unit is used to obtain the location information of the road surface water; the communication module and the 360-degree surround-view The camera and the position determination unit are connected to transmit the road surface water information and the location of the water accumulation to the navigation server, so that the navigation server can form road surface water navigation information based on the water accumulation information in different regions obtained by multiple smart vehicles.

Further, the road surface information acquisition module includes a 360-degree surround-view camera; the 360-degree surround-view camera is used to obtain the data information of the road area snow on the route of the smart car in real time; the position determination unit is used to obtain the position information of the road area snow; the communication module communicates with the 360 The surrounding view camera is connected with the position determination unit, and the snow information and snow location are transmitted to the navigation server, so that the navigation server can form road snow navigation information based on the snow information of different regions obtained by multiple vehicles.

Further, the position determination unit is a position determination unit based on any device among GPS, A-GPS, base station, and WIFI.

Further, the road surface information acquisition module includes radar, night vision device, sonar, and temperature sensor.

The utility model provides an intelligent vehicle, including the above-mentioned intelligent vehicle navigation system.

The intelligent vehicle navigation system and the intelligent vehicle provided by the utility model can obtain weather information related to the road surface in real time, such as rainfall information, road condition information such as road surface water information, and transmit the above information to other intelligent vehicles in real time, so that the intelligent vehicle users can According to the weather information and road condition information shared by other users, the vehicle travel path is determined, and the path with bad weather or poor road condition is actively avoided, making the user's travel more intelligent.

Description of drawings

Fig. 1 shows a structural block diagram of an intelligent vehicle navigation system according to an embodiment of the present invention.

Fig. 2 shows a structural block diagram of an intelligent vehicle navigation system according to another embodiment of the present invention.

Fig. 3 shows a structural block diagram of an intelligent vehicle control system according to another embodiment of the present invention.

Fig. 4 shows a structural block diagram of a navigation system based on an intelligent vehicle control system according to an embodiment of the present invention.

Fig. 5 shows a flowchart of an intelligent vehicle navigation method according to an embodiment of the present invention.

Fig. 6 shows a flow chart of an intelligent vehicle navigation method according to another embodiment of the present invention.

detailed description

The present invention will be described more fully below with reference to the accompanying drawings, in which exemplary embodiments of the present invention are illustrated.

Fig. 1 shows a structural block diagram of an intelligent vehicle navigation system according to an embodiment of the present invention. As shown in Figure 1, the device mainly includes: a weather information acquisition module 101, which acquires weather information of the route of the smart car and location information related to the weather information; a road surface information acquisition module 102, which is used to acquire the road information of the route of the smart car And the location information related to the road surface information; the communication module 103 is connected with the weather information acquisition module 101 and the road surface information acquisition module 102, and is used to obtain the weather information of the route path obtained by the smart car and the location information related to the weather information, the way The road surface information of the path and the location information related to the road surface information are transmitted to the navigation server, so that the navigation server generates weather and road surface navigation information according to the weather information, road surface information and location information obtained by at least one smart car; the navigation processing module 104, and the communication module Be connected, be used for obtaining the weather road surface navigation information in the navigation server; Display module 105, be connected with navigation processing module, be used for displaying the navigation information that contains weather information and road surface information, so that according to the weather road surface that contains weather information and road surface information The navigation information determines a navigation path.

The intelligent vehicle navigation system of the embodiment of the utility model obtains the weather information and road surface information of the route based on the weather sensor or road surface information installed on the smart vehicle, and transmits the weather information and road surface information on the route to the navigation server for navigation The server forms weather and road surface navigation information maps based on the weather information and road surface information uploaded by multiple smart vehicles. The information is transmitted to other smart vehicles in real time, so that smart vehicle users can determine the vehicle's travel path based on the weather information and road condition information shared by other users, and actively avoid paths with bad weather or poor road conditions, making people's travel more intelligent.

In one embodiment, the navigation processing module 104 includes: a location determining unit 1041, configured to determine the current location information of the user; a receiving unit 1042, configured to receive the user's navigation request, and the user's navigation request includes at least a navigation destination address; a sending unit 1043. Connect with the navigation information receiving unit and the position determination unit, and send the user's navigation destination address and the user's current location information to the communication module, so that the communication module 103 sends the above information to the navigation server, and the navigation server uses the user's navigation purpose The address, the user's current location information, and the user's navigation route information calculated from the weather and road surface navigation information, wherein the navigation route is to avoid the severe weather exceeding the first set threshold and/or the road passability being less than the second set threshold the navigation route; the communication module 103 receives the navigation route information, and sends the navigation route information to the display.

In one embodiment, the weather information obtained by the weather information acquisition module 101 includes rainfall information, snow amount information, and natural disaster information related to the road surface, through which the severity of the weather related to the road surface can be determined. Specifically, the navigation server or the vehicle-mounted computer can determine the severity of the weather according to the rainfall information, snow quantity information, and natural disaster information related to the road surface. Different weights are used for weather phenomena to calculate the degree of severe weather.

In one embodiment, the road surface information acquired by the road surface information acquisition module 102 includes road surface water information, road surface snow information, and road surface passability information. Specifically, the pavement passability may be determined through a weighted average algorithm according to road area water information, road snow area information, and road surface damage information.

Fig. 2 shows the structural block diagram of the intelligent vehicle navigation system of another embodiment of the utility model, as shown in Fig. 2, this intelligent vehicle navigation system comprises: weather information acquisition module 201, road surface information acquisition module 202, LTE communication module 203, Navigation processing module 204, display module 205.

In one embodiment, the weather information acquisition module includes a rain sensor 2011 or a snow sensor 2012 installed on the wiper. The rain sensor 2011 is used to obtain the rainfall information of the passing position or the parking position of the smart car in real time; the communication module 203 transmits the rainfall information and the location information related to the rainfall to the navigation server, so that the navigation server can obtain the rainfall information of different regions according to multiple vehicles. Generate rainfall navigation information.

In one embodiment, a rain sensor is installed on the smart vehicle or the rain sensor 2011 on the wiper is used to determine the rainfall, and the acquired rainfall information and GPS information related to the rainfall are transmitted to the cloud navigation server.

In one embodiment, a rain sensor is installed on the smart vehicle or the snow sensor 2012 on the wiper is used to determine the snowfall, and the acquired snowfall information and GPS position information related to the snowfall are sent to the cloud navigation server .

In one embodiment, the size of the rainfall can be determined comprehensively according to the raindrop size sensor and the raindrop frequency sensor on the rain sensor 2011 . Rain sensors can include infrared LED transmitters, infrared receivers, central control units, and car windshields. The infrared receiver includes a preamplifier circuit containing a silicon photocell, a sampling integration circuit, a differential amplifier circuit, and a feedback circuit. The infrared LED transmitter sends the modulated signal to the preamplifier circuit. The output terminal of the preamplifier circuit is connected to the sampling The input terminals of the integration circuit are connected, the timing level input terminal and the signal output terminal of the sampling integration circuit are respectively connected with the output terminal of the central control module and the input terminal of the differential amplifier circuit, and the output terminal of the differential amplifier circuit is connected with the input terminal of the differential amplifier circuit. The sampling input of the central control module is connected to the input port of the feedback circuit, and the output end of the feedback circuit is connected to the negative feedback input port of the infrared LED transmitter to stabilize the voltage fluctuation caused by the raindrop fluctuation.

Specifically, the neural network algorithm can be used to establish the correspondence between the size of the raindrop, the frequency of the raindrop and the amount of rainfall according to the collected voltage. After the neural network model is established, the degree of rainfall is determined according to the magnitude and frequency of rainfall at the input end. Specifically, the degree of rainfall can be evaluated by the amount of 0-100. If the degree of rainfall is 0, it is determined that there is no rainfall; if the degree of rainfall is 0-30, it is determined that the rainfall is light rain. If the degree of rainfall is 30-60 , then determine the rainfall as moderate rain; if the degree of rainfall is 60-90, determine the rainfall as heavy rain; if the degree of rainfall is 90-100, determine the rainfall as heavy rain.

It should be noted that although the embodiment of the utility model distinguishes the rain sensor 2011 and the snow sensor 2012, those skilled in the art should be able to understand that the utility model is not limited thereto. sensor detection unit.

In one embodiment, the road surface information acquisition module 102 includes a camera 2021 , a radar 2022 , and a night vision device 2023 . The vehicle camera can be a 360-degree surround-view camera, and a camera is installed on the front, rear, left, and right sides of the vehicle, and the road conditions are obtained based on the 360-degree surround-view camera, and then the relevant information of the road surface is transmitted to the navigation server.

In one embodiment, the 360-degree surround-view camera is used to obtain the data information of the road surface water of the smart car passing position or parking position in real time; the communication module is used to transmit the water accumulation information and the water accumulation position to the navigation server, so that the navigation server according to The accumulated water information in different regions acquired by multiple vehicles forms road surface water navigation information.

In one embodiment, the radar 2022 and the night vision device 2023 can also be used to obtain the road condition information of the passing location or the parking location of the smart car. Specifically, a sensor such as a sonar is used to obtain the depth of accumulated water, and a temperature sensor is used to obtain the temperature of the surrounding environment.

In one embodiment, the 360-degree camera of the vehicle is used for image analysis to obtain water accumulation information on the road in front of the vehicle. information, then the water accumulation information and the location information of the accumulation water location such as GPS information are transmitted to the server in the cloud.

In one embodiment, after the user turns on the navigation, the position navigation software of the vehicle-mounted central control module automatically obtains the navigation information of the cloud navigation server. The navigation information may include rainfall information and water accumulation information in different regions obtained by different smart vehicles The display module displays the navigation information including rainfall information and water accumulation information to the user, so that the user can plan a navigation route according to the rainfall information and water accumulation information, and optimize the travel of the user.

In one embodiment, the central control device of the smart vehicle can analyze road-related information such as water, snow, mudslides, traffic accidents and congestion information based on the 360-degree surround-view camera. If the road has water, snow, mudslides, traffic accidents or congestion When it happens, the obtained road surface information will be transmitted to the cloud navigation server, and the cloud navigation server will transmit the information to the car navigation terminals of other vehicles that may pass through the relevant positions on the road surface so that other vehicles can avoid the relevant situation in time and automatically determine the optimal travel route. . If the user sends a navigation request to the server, the user's navigation path is planned according to the road conditions.

In one embodiment, water depth detectors such as radar, sonar or other water depth measuring equipment can be installed on each smart vehicle, and when the vehicle enters the stagnant water or when it is in the stagnant water, it can automatically detect the water depth, and when the water depth exceeds the set threshold After that, it will automatically warn and prompt that the vehicle cannot pass, or control the vehicle to drive automatically, leave the wading area, and transmit the water depth data to the cloud navigation server.

In one embodiment, the cloud navigation server can also be connected to the municipal system's flood warning monitoring system and rainfall warning monitoring system, and transmit real-time regional precipitation information or road surface water information to the municipal service system, and obtain them from the municipal service system. The accumulated water information obtained by the fixed accumulated water monitoring device installed by the municipal department, and the rainfall information obtained through satellite and rainfall monitoring in various places, so that the cloud navigation server can obtain all-round accumulated water and rainfall information.

In one embodiment, a snow sensor can be installed on the vehicle to obtain real-time snowfall information on the passing road area, and transmit the location information and snowfall information related to the snowfall information to the navigation server.

In one embodiment, after the user enters the navigation destination address, the vehicle navigation terminal transmits the destination address information and the location information of the vehicle, such as GPS location information, to the cloud navigation server, and the cloud navigation server calculates the information based on the statistics obtained from each vehicle. Calculate and plan the navigation path based on the rainfall information and water accumulation information. When the user clicks on the panorama mode navigation, the water accumulation information will be displayed on the navigation map as a red warning.

In one embodiment, the cloud navigation server can perform a weighted average of the rainfall information and water accumulation information obtained by each vehicle at the same location for a certain period of time to obtain more accurate navigation data information.

Fig. 3 shows a structural block diagram of an intelligent vehicle control system according to another embodiment of the present invention. As shown in FIG. 3 , the intelligent vehicle control system mainly includes: a central control device, an intelligent driving module 313 , an instrument panel 310 , a central control display 311 , and a HUD (Head Up Display) head-up display 312 .

The central control device can be composed of multiple modules, mainly including: main board 300; power supply module 301, which provides power for the central control device; SATA (Serial Advanced Technology Attachment, serial advanced technology attachment) module 302, connected To a storage device such as SSD303, can be used to store data information; FM (Frequency Modulation, frequency modulation) module 304, provides the function of radio for vehicle; Power amplifier module 305, is used for sound processing; WIFI (Wireless-Fidelity, wireless fidelity)/ The bluetooth module 306 provides the service of WIFI/bluetooth for the vehicle; the LTE (Long Term Evolution, Long Term Evolution) communication module 307 provides the communication function with the telecom operator for the vehicle; the Switch adapter interface 309, the Switch adapter interface 309 can As an expandable interface to connect various sensors, for example, if you need to add a night vision function sensor or a PM2. Perform data processing and transmit the data to the central control display. The above functional modules are only an example of the embodiment of the present utility model, and users or developers can set new functional modules according to actual needs.

The instrument panel 310 can have a 12.3-inch LCD display device, and the instrument panel can use TI's J6CPU; the operating system of the instrument panel can be based on a QNX embedded system, and the instrument panel can be used to display weather and road navigation information and navigation paths. The HUD head-up display 312 can display, for example, GPS navigation information, weather road surface navigation information, and navigation route information.

The intelligent driving module 313 can be used to process operations related to intelligent driving. For example, it can be combined with ADAS devices for intelligent driving. Offset and other functions.

In one embodiment, the system related to vehicle safety can be made into a relatively closed system, and the system related to open sharing can be set up as a relatively open system. For example, the display of the instrument panel and the intelligent driving system can be used as a relatively closed system, while the sharing and measurement of rainfall information can be relatively open for sharing with other users.

Fig. 4 shows a structural block diagram of a navigation system based on an intelligent vehicle control system according to an embodiment of the present invention. As shown in Figure 4, the navigation system based on the intelligent vehicle control system mainly includes: an intelligent vehicle and a navigation server. The smart car includes a motherboard 400, a power module 401, a SATA module 402, an SSD 403, an FM module 404, a power amplifier module 405, a WIFI/bluetooth module 406, an LTE communication module 407, a Switch interface 409, an instrument panel 410 and a central control display 411, HUD head-up display 412, intelligent driving device 413, rain sensor 414, surround view camera 415, night vision device 416, radar 417, GPS positioning module 418, wherein the rain sensor includes raindrop frequency sensor 4141, raindrop size sensor 4142. The smart car is connected with the navigation server 419 through the WIFI/bluetooth module 406 and the LTE communication module 407 .

In one embodiment, the data of the rain sensor of the wiper on the car is connected to the navigation system. Specifically, the data of the rain sensor and the GPS position information obtained by the raindrop frequency sensor 4141 and the raindrop size sensor 4142 of the wiper on the car can be connected to the cloud server, and the navigation server can synthesize the rainfall data of multiple smart vehicles in various cities and places. , forming a real-time rainfall map.

In one embodiment, a plurality of intelligent vehicles acquire water accumulation data information through a 360-degree surround-view camera 415 , a night vision device 416 , and a radar 417 . In the case of relatively heavy rain, the navigation system automatically avoids areas prone to water accumulation through the navigation server.

In one embodiment, the present invention provides a smart car, which includes the smart car navigation system as described above.

Fig. 5 shows a flowchart of an intelligent vehicle navigation method according to an embodiment of the present invention. As shown in Figure 5, the intelligent vehicle navigation method mainly includes:

Step 500, sending a navigation request to a navigation server.

Step 502, obtaining weather and road surface navigation information returned by the navigation server according to the navigation request.

Step 504, displaying the weather and road navigation information including weather information and road surface information on the vehicle display so as to determine a navigation route according to the weather and road surface navigation information including weather information and road surface information.

Specifically, the weather road surface navigation information includes the weather information of the route obtained by the smart car and the location information related to the weather information, the road surface information of the route and the location information related to the road surface information. Weather information, road surface information and location information generate weather road surface navigation information.

Fig. 6 shows a flow chart of an intelligent vehicle navigation method according to another embodiment of the present invention. As shown in Figure 6, the intelligent vehicle navigation method mainly includes:

Step 600, receiving a user's navigation request, where the user's navigation request includes at least a navigation destination address.

Step 602, acquiring the current location information of the user.

Step 604, transmitting the navigation destination address of the user and the current location information of the user to the navigation server.

Step 606, obtain the navigation route calculated by the navigation server based on the user's navigation destination address, the user's current location information, and weather and road surface navigation information so that the vehicle can avoid bad weather exceeding the first set threshold and/or road passability less than the second Path to set the threshold.

In one embodiment, the weather information includes rainfall information, snow amount information, and natural disaster information related to the road surface, and the severity of the weather is determined according to the rain amount information, snow amount information, and road surface related natural disaster information.

In one embodiment, the road surface information includes road surface water information, road surface snow information, and road surface damage information; road passability is determined according to the road surface water information, road snow area information, and road surface damage information.

In one embodiment, the intelligent vehicle navigation method also includes: obtaining the rainfall information of the passing position or the stop position of the intelligent vehicle in real time; transmitting the rainfall information and the position information related to the rainfall to the navigation server so that the navigation server The acquired rainfall information in different regions forms rainfall navigation information.

In one embodiment, the intelligent vehicle navigation method also includes: acquiring the snow volume information of the passing position or the stop position of the intelligent vehicle in real time; Snow volume information in different regions acquired by a smart car forms snow volume navigation information.

In one embodiment, the intelligent vehicle navigation method also includes: acquiring the data information of road surface water in the path of the intelligent vehicle in real time; The accumulated water information in different areas forms road surface water navigation information.

In one embodiment, the intelligent vehicle navigation method also includes: acquiring the data information of the road snow of the intelligent vehicle passing path in real time; Snow information in different regions forms road area snow navigation information.

The description of the present invention has been presented for purposes of illustration and description, but is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and changes will be apparent to those of ordinary skill in the art. The embodiment was chosen and described in order to better explain the principle and practical application of the invention, and to enable those of ordinary skill in the art to understand the invention and design various embodiments with various modifications suitable for particular purposes.

Claims (10)

1. A kind of intelligent vehicle navigation system, is characterized in that, comprises: A weather information acquisition module, configured to acquire weather information on the route of the smart car and location information related to the weather information; The road surface information acquisition module is used to obtain the road surface information of the route of the smart car and the location information related to the road surface information; The communication module is connected with the weather information acquisition module and the road surface information acquisition module, and is used to obtain the weather information of the route obtained by the smart car and the location information related to the weather information, the road information of the route and the information related to the route. The location information related to the road surface information is transmitted to the navigation server; A navigation processing module, connected to the communication module, for obtaining weather and road surface navigation information from a navigation server; The display module is connected with the navigation processing module and is used for displaying weather and road surface navigation information containing weather information and/or road surface information, so as to determine a navigation route according to the weather and road surface navigation information containing weather information and/or road surface information. 2. The system of claim 1, wherein: Navigation processing modules include: a location determining unit, configured to determine the current location information of the user; A receiving unit, configured to receive a user's navigation request, where the user's navigation request includes at least a navigation destination address; The sending unit is connected with the receiving unit and the position determination unit, and sends the navigation destination address of the user and the current location information of the user to the communication module; The communication module is used to send the navigation destination address and the user's current location information to the navigation server; The communication module is used to receive navigation route information, and send the navigation route information to the display module, wherein, the navigation route is to avoid bad weather exceeding the first set threshold and/or road passability less than the second set threshold. Threshold navigation path. 3. The system of claim 2, wherein: The weather information obtained by the weather information acquisition module includes rainfall information, snow information, and weather severity information related to the road surface; The road surface information acquired by the road surface information acquisition module includes road area water information, road snow area information, and road passability information. 4. The system according to any one of claims 1-3, wherein the weather information acquisition module includes a rain sensor installed on the wiper, The rainfall sensor is used to obtain the rainfall information of the path of the smart car in real time; The location determination unit is used to obtain location information related to rainfall; The communication module is connected with the rain sensor and the position determining unit, and is used for transmitting the rain information and the position information related to the rain to the navigation server. 5. The system according to any one of claims 1-3, further comprising: The weather information acquisition module includes a snow sensor, which is used to obtain the snowfall information of the path of the smart car in real time; The location determination unit is used to obtain location information related to snow volume; The communication module is connected with the snow amount sensor, and is used for transmitting the snow amount information and position information related to the snow amount to the navigation server. 6. The system according to claim 4, wherein the road surface information acquisition module includes a 360-degree look-around camera; The 360-degree surround-view camera is used to obtain road surface water information of the path of the smart car in real time; The position determination unit is used to acquire the position information of road surface water; The communication module is connected with the 360-degree surround-view camera and the position determination unit, and is used to transmit the road surface water information and water location to the navigation server. 7. The system according to claim 5, wherein the road surface information acquisition module includes a 360-degree look-around camera; The 360-degree surround-view camera is used to obtain the road snow information of the path of the smart car in real time; The position determination unit is used to obtain the position information of snow on the road; Communication module is connected with described 360 degree surround camera, position determining unit, described snow cover information, snow cover position are transmitted to navigation server. 8. The system of claim 2, wherein: The position determination unit is a position determination unit based on any device among GPS, A-GPS, base station, and WIFI. 9. The system according to claim 1, wherein the road surface information acquisition module further includes radar, night vision device, sonar, and temperature sensor. 10. A smart car, characterized by comprising the smart car navigation system according to any one of claims 1-9.