CN103453914A - Cloud navigation system and method for intelligent updating of map - Google Patents

Abstract

The present invention provides a cloud navigation system and method for intelligently updating maps. The system includes: a cloud server and a plurality of vehicle-mounted terminals; wherein, the vehicle-mounted terminals are used to collect vehicle speed information through OBD and vehicle position information through GPS, and send to the cloud server; the vehicle terminal also sends the navigation instructions input by the user to the cloud server; the cloud server is used to receive and integrate vehicle speed information, vehicle location information and regional map information, extract new road information and add it to the stored regional map information In the process, route navigation information is generated according to the navigation instruction input by the user and the stored area map information and sent to the corresponding vehicle-mounted terminal. According to the information collected by the vehicle-mounted terminal, the invention intelligently analyzes the newly added road and adds it to the map, so that the road is included in the planning in the subsequent navigation and provides updated route navigation information for the vehicle-mounted terminal.

Description

Cloud navigation system and method for intelligently updating maps

technical field

The invention relates to GPS navigation technology, more specifically, to a cloud navigation system and method for intelligently updating maps.

Background technique

Most of the existing navigation systems employ a large amount of manpower to discover and add new roads through on-the-spot investigations, which wastes a lot of manpower. Moreover, the updated map needs to be downloaded by the majority of users before it can be put into use. Many users are not familiar with the Internet or when they are busy, the map may not be updated in time, which may lead to navigation failure. The current road navigation system also does not have a road navigation system that intelligently updates maps based on cloud computing.

Contents of the invention

The technical problem to be solved by the present invention is to provide a cloud navigation system and method for intelligently updating maps in view of the above-mentioned defect that the existing car GPS navigation system cannot update maps effectively.

The technical solution adopted by the present invention to solve the technical problem is: to construct a cloud navigation system for intelligently updating maps, including: a cloud server and a plurality of vehicle-mounted terminals;

The vehicle-mounted terminal is used to collect the vehicle speed information through the OBD and the vehicle position information through the GPS, and send it to the cloud server; the vehicle-mounted terminal also sends the navigation instructions input by the user to the cloud server;

The cloud server is used to receive vehicle speed information and vehicle position information of a plurality of vehicle-mounted terminals, extract new road information and add it to the stored area map information, and according to the navigation instructions input by the user and the stored area map information Generate route navigation information and publish it to the corresponding vehicle terminal.

In the cloud navigation system for intelligently updating maps according to the present invention, the vehicle-mounted terminal includes: a vehicle-mounted controller and a GPS module connected thereto, an OBD module, a human-computer interaction module and a network communication module;

The GPS module is used to obtain vehicle location information;

The OBD module is used to obtain vehicle speed information;

The human-computer interaction module is used to receive navigation instructions input by the user, and display path navigation information to the user;

The on-board controller is used to communicate the vehicle speed information collected by the OBD module, the vehicle position information collected by the GPS module, and the navigation instruction input by the user received by the human-computer interaction module through the network communication The module sends to the cloud server; and the on-board controller receives the route navigation information issued by the cloud server through the network communication module and displays it on the human-computer interaction module.

In the cloud navigation system for intelligently updating maps according to the present invention, the cloud server includes:

The data acquisition module is used to store the vehicle speed information and vehicle position information collected by the multiple vehicle-mounted terminals, and store regional map information;

The data integration module is used to integrate vehicle speed information, vehicle location information and regional map information, and extract new road information and add it to the stored regional map information;

A data analysis module, configured to read data from the data integration module to generate route navigation information according to the navigation instruction input by the user;

The data release module is used to release the generated route navigation information to the corresponding vehicle terminal.

In the cloud navigation system for intelligently updating maps according to the present invention, the data integration module also deletes road information that has not been used within a predetermined period from the area map information.

The present invention also provides a cloud navigation method for intelligently updating maps, comprising the following steps:

The vehicle speed information collected by the vehicle terminal through the OBD and the vehicle position information collected by the GPS are sent to the cloud server; the vehicle terminal also sends the navigation instructions input by the user to the cloud server;

The cloud server receives vehicle speed information and vehicle location information of a plurality of vehicle-mounted terminals, extracts newly added road information and adds it to the stored area map information, and generates a route according to the navigation instructions input by the user and the stored area map information The navigation information is published to the corresponding vehicle terminal.

In the cloud navigation method for intelligently updating maps according to the present invention, the vehicle-mounted terminal collects and interacts data through the following steps:

The on-board controller collects the vehicle speed information through the OBD module and sends it to the cloud server through the network communication module;

The vehicle controller collects the vehicle position information through the GPS module and sends it to the cloud server through the network communication module;

The on-board controller receives the navigation instruction input by the user through the human-computer interaction module and sends it to the cloud server through the network communication module;

The on-vehicle controller receives route navigation information released by the cloud server through the network communication module and displays it on the human-computer interaction module.

In the cloud navigation method for intelligently updating maps according to the present invention, the cloud server collects and releases information through the following steps:

Store the vehicle speed information and vehicle position information collected by the multiple vehicle-mounted terminals through the data acquisition module, and store the area map information;

Integrate the required vehicle speed information, vehicle location information and regional map information through the data integration module, and extract new road information and add it to the stored regional map information;

Reading data from the data integration module according to the navigation instruction input by the user through the data analysis module to generate route navigation information;

The generated route navigation information is released to the corresponding vehicle-mounted terminal through the data publishing module.

In the cloud navigation method for intelligently updating maps according to the present invention, the data integration module also deletes road information that has not been used within a predetermined period from the area map information.

Implementing the cloud navigation system and method for intelligently updating maps of the present invention has the following beneficial effects: the present invention can intelligently analyze newly added roads according to the information collected by the vehicle-mounted terminal, and add them to the map, so that the subsequent navigation In this process, the road is included in the planning, and updated route navigation information is provided for the vehicle-mounted terminal. The present invention can further detect unused roads, such as construction roads, and delete them from the area map information, thereby enabling real-time navigation.

Description of drawings

The present invention will be further described below in conjunction with accompanying drawing and embodiment, in the accompanying drawing:

Fig. 1 is the functional block diagram of the preferred embodiment of the cloud navigation system according to the intelligent update map of the present invention;

Fig. 2 is the specific block diagram of vehicle-mounted terminal in the cloud navigation system of intelligent update map according to the present invention;

Fig. 3 is a specific block diagram of the cloud server in the cloud navigation system for intelligently updating maps according to the present invention.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

The present invention conceives a cloud navigation system for intelligently updating maps. Based on cloud computing technology, it collects and sorts out the real-time running information of GPS and OBD of the car and combines cloud service calculations to quickly update the map and plan the best driving time for the car in time. path.

Please refer to FIG. 1 , which is a functional block diagram of a preferred embodiment of a cloud navigation system for intelligently updating maps according to the present invention. As shown in FIG. 1 , the cloud navigation system for intelligently updating maps provided by this embodiment includes at least a cloud server 200 and a plurality of vehicle-mounted terminals, such as a first vehicle-mounted terminal 100-1 to an Nth vehicle-mounted terminal 100-N.

Wherein, the vehicle-mounted terminal is used to collect vehicle speed information through OBD and vehicle location information through GPS, and send the collected vehicle-mounted data to the cloud server 200 . The vehicle terminal also sends the navigation instruction input by the user to the cloud server 200 .

The cloud server 200 is used to receive the vehicle speed information and vehicle position information of multiple vehicle-mounted terminals, and integrate the vehicle speed information, vehicle position information and stored regional map information sent by multiple vehicle-mounted terminals, and extract new road information and add it to the storage in the area map information for . In other embodiments of the present invention, the cloud server 200 can analyze the vehicle position information and vehicle speed information collected within a period of time to determine which roads do not appear in the area map information, and the roads that do not appear in this period of time occurs more than the preset number of times, so the cloud server 200 can add the section of the road and the average speed information of the vehicle on the section of the road into the area map information. In other embodiments of the present invention, the cloud server 200 can analyze the vehicle position information and vehicle speed information collected within a period of time, and judge which roads in the area map information have not been used, and the cloud server 200 can use the section of road Deleted in area map information. The cloud server 200 extracts the above-mentioned integrated and regularly updated data according to a navigation command input by a user received from a certain vehicle terminal to generate route navigation information. For example, according to the current vehicle position information and vehicle speed information of the vehicle-mounted terminal, as well as the destination information in the navigation instruction input by the user, a virtual model of the traffic road condition is established from the area map information, and the route navigation information is generated and issued to the corresponding vehicle terminal. The cloud computing adopted by the cloud server 200 is an Internet-based computing mode involving public participation. Cloud computing is faced with massive Internet data. Cloud computing is service-centric, including infrastructure as a service, platform as a service and software as a service. Cloud computing has scalability and computing elasticity, and is used in a dynamic service environment. For example, the present invention can determine and adjust the computing, memory and storage resources required by the cloud computing platform virtual machine of the cloud server 200 according to the number of existing running cars and the amount of collected OBD data, and guide the planned path Information is provided to end customers in the form of services.

The present invention uses a plurality of vehicle-mounted terminals in the system to collect a large amount of vehicle speed information and vehicle position information, compares them with the area map information stored in the cloud server in advance, updates and stores the area map information stored in the cloud server, and provides information for each vehicle-mounted terminal. to navigate. When the user applies for GPS navigation service and enters the navigation instruction, the data related to the navigation instruction is extracted from the integrated data, such as the real-time position of the car and the data of the road in the area between the destinations, and a virtual traffic map of the traffic situation is established. model, and then calculate the best route guidance information, and transmit the best route guidance information to the vehicle terminal that submits the navigation service application.

Please refer to FIG. 2 , which is a specific block diagram of the vehicle-mounted terminal in the cloud navigation system for intelligently updating maps according to the present invention. As shown in FIG. 2 , the vehicle-mounted terminal 100 further includes: a vehicle-mounted controller 110 and an OBD module 120 , a GPS module 130 , a human-computer interaction module 140 and a network communication module 150 connected thereto.

Among them, the OBD module 120 is used to acquire the vehicle speed information. OBD is a program that automatically diagnoses car faults and is used to detect the running status of the car when it is started. OBD emerged in the 1980s, and the United States, Japan and Europe began to install OBD on their cars. At present, there are three generations of OBD products. The early OBD did not have a detection function. The OBD II that appeared in the mid-1990s has an automatic detection function. OBD III has the function of using a small vehicle communication system to automatically notify the vehicle's operating parameters and location, but it is still in the research and development stage. The system in the present invention can preferably adopt the most common OBD II with the function of automatic notification of information in the market now.

The GPS module 130 is used to acquire the location information of the car. The GPS module 130 acquires the location of the car through global positioning satellites, that is, the location information of the car. GPS is a system that uses satellites to perform real-time positioning and navigation around the world. GPS has the characteristics of global all-weather work, and its positioning accuracy is high. The single-machine positioning accuracy is better than 10m, and the high-precision GPS accuracy can reach centimeter and millimeter levels. The GPS module 130 used in the present invention is a vehicle-mounted GPS used for vehicle navigation and positioning.

The human-computer interaction module 140 is used for receiving navigation instructions input by the user, and displaying route navigation information to the user. The human-computer interaction module 140 is an interface for the user to interact with the vehicle-mounted terminal, and is used to receive navigation instructions input by the user, such as driving destinations, route selection targets, etc. information to the user. The human-computer interaction module 140 can adopt multiple input methods such as touch screen input and voice input to facilitate the use of users.

The network communication module 150 is a port for connecting the on-board system of the car to the external network, and is used to transmit the above-mentioned on-board data to the cloud server 200 and obtain services from the cloud server 200 at the same time. The network communication module 150 may be a wireless network terminal such as WIFI or 3G or a communication device with multiple technologies coexisting.

The on-board controller 110 is an embedded processor, which is used for controlling and coordinating the operation of the on-board system, such as coordinating data transmission between modules, optimizing the human-computer interaction interface, and so on. The on-board controller 110 is used to send the vehicle speed information collected by the OBD module 120 and the vehicle position information collected by the GPS module 130, as well as the navigation instructions input by the user received by the human-computer interaction module 140, to the cloud via the network communication module 150 Server 200. Moreover, the on-vehicle controller 110 also receives route navigation information issued by the cloud server 200 and displays it through the human-computer interaction module 140 . The embedded processor can choose a processor similar to that of ARM Company, which has the characteristics of low power consumption and energy saving, and is suitable for the field of mobile communication.

Please refer to FIG. 3 , which is a specific block diagram of the cloud server in the cloud navigation system for intelligently updating maps according to the present invention. As shown in FIG. 3 , the cloud server 200 further includes: a data collection module 210 , a data integration module 220 , a data analysis module 230 and a data publishing module 240 .

Wherein, the data collection module 210 is used for storing the vehicle speed information collected by the aforementioned plurality of vehicle-mounted terminals 100 through OBD and the vehicle location information collected by GPS. Area map information is also stored in the data collection module 210 .

The data integration module 220 is used for integrating vehicle speed information, vehicle location information and area map information, and extracting new road information to add to the stored area map information. Preferably, in other embodiments of the present invention, the data integration module 220 can analyze the vehicle position information and vehicle speed information collected within a period of time to determine which roads do not appear in the area map information, and roads that do not appear If more than a preset number of times occurs within this period, the data integration module 220 may add the road section and the average speed information of the vehicle on the road section to the area map information. In other embodiments of the present invention, the data integration module 220 can analyze the vehicle position information and vehicle speed information collected within a period of time, and determine which roads in the area map information have not been used, and the data integration module 220 can use the Road segments are deleted in the area map information. The present invention can optimize the storage structure of data during integration. The number of domestic cars is very large, and a large amount of on-board data needs to be stored during the system's use. It is unrealistic to store all these on-board data in a single server, so the data should be distributed in different servers. The present invention can use a distributed file system to manage and store data, which is used to integrate map information distributed in different servers, and provide the data analysis module with regional map information required for path planning. The distributed file system is suitable for storing massive data, and can divide a huge single database into multiple small and medium-sized databases, thereby improving the efficiency of data collection, processing and analysis. The specific data distribution method can be considered in consideration of multiple factors such as the city, the regional planning structure within the city, and the dense traffic points of vehicles to meet the needs of users. If the traffic volume is heavy, multiple servers can be set up in the traffic hub area, otherwise no or one server can be set up to meet user needs practically and without wasting resources. The distributed storage technologies of cloud computing mainly include Google's non-open source distributed file system GFS and HDFS in the Hadoop open source project supported by the Apache Software Foundation. The present invention can preferably adopt Hadoop HDFS, which has the characteristics of high fault tolerance and high throughput, can be deployed on cheap hardware and provides high-throughput data access, and is suitable for storage management of massive data. The present invention analyzes the areas that the vehicle may pass through during driving according to the location information of the vehicle's departure and destination, and learns which data in the server needs to be integrated for the data analysis module 230 to calculate the optimal route. After a period of operation, the system will also optimize the data storage structure according to the driving habits of the user group.

The data analysis module 230 is used to read data from the data integration module 220 according to the navigation instruction input by the user to generate route navigation information. The data analysis module 230 establishes a real-time road condition model of the road according to the real-time parameters of vehicle operation collected by the OBD when calculating the optimal route navigation information. For example, according to the operation conditions of the car group at that time, such as the speed of each vehicle, the location and other parameters, the traffic road conditions are established to establish a real-time road condition model of the road. Finally, based on these information, a multi-objective optimization method is adopted, combined with road conditions and regional map information, and according to the actual needs of users, an optimization model is established to calculate route navigation information and provide intelligent GPS navigation services. That is to say, the data integration module 220 records information such as the real-time speed and location of each car driving on the road, and the data analysis module 230 establishes a virtual model of traffic conditions based on these information: if the average speed of a car on a certain road is less than a certain If the average vehicle speed of a certain road is greater than a certain threshold, it means that the road traffic is smooth. In order to conform to the actual situation, the model can comprehensively consider multiple parameter information such as vehicle speed and traffic flow to judge road conditions. Combined with relevant information such as road condition information and regional maps, the data analysis module 230 can use multi-objective optimization technology to calculate the best route navigation information. For example, if the road condition information is good, the traffic volume is small, and the driving distance is short, the road is preferred when selecting a route; on the contrary, if the road condition information is poor, the traffic volume is large, and the driving distance is long, the road is the second choice when selecting a route. At the same time, the choice of multi-objectives can be dynamically adjusted according to the needs of users. On the premise of good road conditions, roads with many scenic spots can be given priority when traveling, and roads with short distances and many refueling stations can be considered for long-distance travel. GPS navigation service.

The data publishing module 240 is used for publishing the calculated route guidance information to the corresponding vehicle terminal 100 .

The present invention also correspondingly provides a cloud service-based intelligent GPS path planning method, comprising the following steps:

First, the car terminal collects the car speed information through OBD and the car position information through GPS, and sends them to the cloud server. The vehicle terminal also sends the navigation instruction input by the user to the cloud server. The vehicle-mounted terminal can be realized by using the various functional modules in the aforementioned Figure 2, so the vehicle-mounted terminal can collect and send data through the following steps: the vehicle-mounted controller collects the vehicle speed information through the OBD module and sends it to the cloud server through the network communication module; The GPS module collects the location information of the car and sends it to the cloud server through the network communication module; the vehicle controller receives the navigation instructions input by the user through the human-computer interaction module and sends them to the cloud server through the network communication module.

Subsequently, the cloud server receives the vehicle speed information and vehicle position information of multiple vehicle-mounted terminals, extracts newly added road information and adds it to the stored area map information, and generates a route according to the navigation instructions input by the user and the stored area map information The navigation information is published to the corresponding vehicle terminal. Wherein, the cloud server can be implemented by using the various functional modules in the aforementioned Figure 3, so the cloud server can collect and release information through the following steps: store the vehicle speed information and vehicle position information collected by the multiple vehicle-mounted terminals through the data collection module, and To store regional map information, a distributed file system can be used to manage and store data; through the data integration module, vehicle speed information, vehicle location information and regional map information can be integrated, and new road information can be extracted and added to the stored regional map information; The analysis module reads data from the data integration module to generate route navigation information according to the navigation instruction input by the user; and distributes the generated route navigation information to the corresponding vehicle-mounted terminal through the data release module. Finally, the vehicle-mounted terminal can receive route navigation information issued by the cloud server through the vehicle-mounted controller and display it through the human-computer interaction module.

To sum up, the cloud navigation system that implements the intelligent update map of the present invention can intelligently analyze the newly added road according to the information collected by the vehicle terminal, and add it to the map, so that in the subsequent navigation, the road Included in the planning; or further, unused roads such as construction roads can be detected and deleted in the regional map information, so that real-time navigation can be achieved.

The present invention has been described based on specific embodiments, but those skilled in the art will understand that various changes and equivalent substitutions can be made without departing from the scope of the present invention. In addition, many modifications may be made to adapt the technique to a particular situation or material without departing from its scope. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed herein, but include all embodiments falling within the scope of the appended claims.

Claims (8)

1. A cloud navigation system for updating maps intelligently, comprising: a cloud server and a plurality of vehicle-mounted terminals; The vehicle-mounted terminal is used to collect the vehicle speed information through the OBD and the vehicle position information through the GPS, and send it to the cloud server; the vehicle-mounted terminal also sends the navigation instructions input by the user to the cloud server; The cloud server is used to receive vehicle speed information and vehicle position information of a plurality of vehicle-mounted terminals, extract new road information and add it to the stored area map information, and according to the navigation instructions input by the user and the stored area map information Generate route navigation information and publish it to the corresponding vehicle terminal. 2. The cloud navigation system for intelligently updating maps according to claim 1, wherein the vehicle-mounted terminal comprises: a vehicle-mounted controller and a GPS module connected thereto, an OBD module, a human-computer interaction module and a network communication module; The GPS module is used to obtain vehicle location information; The OBD module is used to obtain vehicle speed information; The human-computer interaction module is used to receive navigation instructions input by the user, and display path navigation information to the user; The on-board controller is used to communicate the vehicle speed information collected by the OBD module, the vehicle position information collected by the GPS module, and the navigation instruction input by the user received by the human-computer interaction module through the network communication The module sends to the cloud server; and the on-board controller receives the route navigation information issued by the cloud server through the network communication module and displays it on the human-computer interaction module. 3. the cloud navigation system of intelligent update map according to claim 1, is characterized in that, described cloud server comprises: The data acquisition module is used to store the vehicle speed information and vehicle position information collected by the multiple vehicle-mounted terminals, and store regional map information; The data integration module is used to integrate vehicle speed information, vehicle location information and regional map information, and extract new road information and add it to the stored regional map information; A data analysis module, configured to read data from the data integration module to generate route navigation information according to the navigation instruction input by the user; The data release module is used to release the generated route navigation information to the corresponding vehicle terminal. 4. The cloud navigation system for intelligently updating maps according to claim 1, wherein the data integration module also deletes unused road information within a predetermined period from the regional map information. 5. A cloud navigation method for intelligently updating maps, comprising the following steps: The vehicle speed information collected by the vehicle terminal through the OBD and the vehicle position information collected by the GPS are sent to the cloud server; the vehicle terminal also sends the navigation instructions input by the user to the cloud server; The cloud server receives vehicle speed information and vehicle location information of a plurality of vehicle-mounted terminals, extracts newly added road information and adds it to the stored area map information, and generates a route according to the navigation instructions input by the user and the stored area map information The navigation information is published to the corresponding vehicle terminal. 6. The cloud navigation method for intelligently updating maps according to claim 5, wherein the vehicle-mounted terminal collects and interacts data through the following steps: The on-board controller collects the vehicle speed information through the OBD module and sends it to the cloud server through the network communication module; The vehicle controller collects the vehicle position information through the GPS module and sends it to the cloud server through the network communication module; The on-board controller receives the navigation instruction input by the user through the human-computer interaction module and sends it to the cloud server through the network communication module; The on-vehicle controller receives route navigation information released by the cloud server through the network communication module and displays it on the human-computer interaction module. 7. The cloud navigation method for intelligently updating maps according to claim 5, wherein the cloud server collects and releases information through the following steps: Store the vehicle speed information and vehicle position information collected by the multiple vehicle-mounted terminals through the data acquisition module, and store the area map information; Integrate the required vehicle speed information, vehicle location information and regional map information through the data integration module, and extract new road information and add it to the stored regional map information; Reading data from the data integration module according to the navigation instruction input by the user through the data analysis module to generate route navigation information; The generated route navigation information is released to the corresponding vehicle-mounted terminal through the data publishing module. 8. The cloud navigation method for intelligently updating maps according to claim 5, wherein the data integration module also deletes unused road information within a predetermined period from the area map information.

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