CN111737328A - Big data analysis method applied to Internet of vehicles - Google Patents
Big data analysis method applied to Internet of vehicles Download PDFInfo
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- CN111737328A CN111737328A CN202010526803.6A CN202010526803A CN111737328A CN 111737328 A CN111737328 A CN 111737328A CN 202010526803 A CN202010526803 A CN 202010526803A CN 111737328 A CN111737328 A CN 111737328A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
Abstract
The invention belongs to the technical field of vehicle intelligent control application, and particularly discloses a big data analysis method applied to a vehicle networking. And 2, converting the query data by the data conversion tool. And 3, calculating the data by the data real-time calculation module. And 4, the data storage module stores the converted data into a database. And 5, displaying the data analysis platform by the data analysis tool. The big data analysis method applied to the Internet of vehicles has the beneficial effects that: the intelligent vehicle data collection and analysis system is reasonable in design, accurate and stable collection, analysis and processing of vehicle data information can be achieved, reliability of intelligent vehicle safe passing control is guaranteed, and safety of intelligent vehicle control in the internet of vehicles is improved.
Description
Technical Field
The invention belongs to the technical field of vehicle intelligent control application, and particularly relates to a big data analysis method applied to a vehicle networking.
Background
The connotation of the Internet of vehicles mainly refers to: the vehicle-mounted equipment on the vehicle effectively utilizes all vehicle dynamic information in the information network platform through a wireless communication technology, and provides different functional services in the running process of the vehicle.
The car networking realizes the all-round network link of car and cloud platform, car and car, car and road, car and people, car interior through the information communication technology of new generation, has mainly realized "three nets merge", namely fuses car intranet, intercar network and on-vehicle mobile internet. The vehicle networking is characterized in that 1, communication between the vehicle and the cloud platform means that the vehicle realizes information transmission with a vehicle networking service platform through wireless communication technologies such as satellite wireless communication or mobile cellular, receives a control instruction issued by the platform, and shares vehicle data in real time; 2. the communication between the vehicles means that information exchange and information sharing are realized between the vehicles, and the communication comprises vehicle state information such as vehicle positions, running speeds and the like and can be used for judging road traffic conditions; 3. the communication between the vehicles and the roads means that the information communication between the vehicles and the roads is realized by means of a ground road fixed communication facility, and the communication is used for monitoring the road surface condition and guiding the vehicles to select the optimal running path; 4. the communication between the vehicle and the people means that a user can communicate information with the vehicle through wireless communication means such as Wi-Fi, Bluetooth, honeycomb and the like, so that the user can monitor and control the vehicle through corresponding mobile terminal equipment; 5. the communication among the devices in the vehicle refers to information data transmission among the devices in the vehicle, and is used for real-time detection and operation control of the device state and establishment of a digital control system in the vehicle.
It can be known from the above description that how to implement analysis, processing and the like of vehicle big data is the key of the internet of vehicles, that is, the accuracy, stability and safety of the data analysis, processing and the like will directly affect the reliability of intelligent control of vehicle safe traffic.
Based on the problems, the invention provides a big data analysis method applied to the Internet of vehicles.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a big data analysis method applied to the Internet of vehicles, which has reasonable design of operation flow, can realize accurate and stable acquisition, analysis and processing of vehicle data information, ensures the reliability of intelligent control on vehicle safe passage and improves the safety of intelligent control on vehicles in the Internet of vehicles.
The technical scheme is as follows: the big data analysis method applied to the Internet of vehicles comprises the following steps of 1, inquiring data from an original database by a data analysis tool. And 2, converting the query data by the data conversion tool. And 3, calculating the data by the data real-time calculation module. And 4, the data storage module stores the converted data into a database. And 5, displaying the data analysis platform by the data analysis tool.
In the technical scheme, firstly, in step 1, a data analysis tool queries from a PowerView dynamic atlas module, wherein, the PowerView dynamic atlas module can actively carry out machine learning, data mining and semantic search, the semantic search data of the PowerView dynamic atlas module is stored in a massive structured storage system or a massive unstructured storage system, while mass structured storage systems or mass unstructured storage systems are managed through a distributed file system, then step 2 and step 3 data conversion tool and data real-time calculation module convert and calculate the data, the method comprises the processes of data mutual transfer, data extraction, data conversion and transfer, and finally, the mass structured storage system or the mass unstructured storage system in the steps 4 and 5 is used as a data storage module to store the converted data, and the data analysis tool extracts the data information to be inquired in the step 1 to perform platform display.
Compared with the prior art, the big data analysis method applied to the Internet of vehicles has the beneficial effects that: the intelligent vehicle data collection and analysis system is reasonable in design, accurate and stable collection, analysis and processing of vehicle data information can be achieved, reliability of intelligent vehicle safe passing control is guaranteed, and safety of intelligent vehicle control in the internet of vehicles is improved.
Drawings
FIG. 1 is a schematic diagram of a data processing flow structure of a big data analysis method applied to the Internet of vehicles according to the invention;
fig. 2, fig. 3, fig. 4 and fig. 5 are schematic diagrams illustrating data parameters collected by the big data analysis method applied to the internet of vehicles according to the present invention.
Detailed Description
The invention is further elucidated with reference to the drawings and the embodiments.
Examples
The big data analysis method applied to the internet of vehicles as shown in fig. 1 comprises the following steps, step 1, a data analysis tool inquires data from a raw database. And 2, converting the query data by the data conversion tool. And 3, calculating the data by the data real-time calculation module. And 4, the data storage module stores the converted data into a database. And 5, displaying the data analysis platform by the data analysis tool.
Specifically, firstly, in step 1, the data analysis tool queries from the PowerView dynamic atlas module, wherein, the PowerView dynamic atlas module can actively carry out machine learning, data mining and semantic search, the semantic search data of the PowerView dynamic atlas module is stored in a massive structured storage system or a massive unstructured storage system, while mass structured storage systems or mass unstructured storage systems are managed through a distributed file system, then step 2 and step 3 data conversion tool and data real-time calculation module convert and calculate the data, the method comprises the processes of data mutual transfer, data extraction, data conversion and transfer, and finally, the mass structured storage system or the mass unstructured storage system in the steps 4 and 5 is used as a data storage module to store the converted data, and the data analysis tool extracts the data information to be inquired in the step 1 to perform platform display.
Fig. 2, fig. 3, fig. 4 and fig. 5 are schematic diagrams of specific data parameters of data conversion tools and data real-time calculation modules for converting and calculating data in step 2 and step 3 in the big data analysis method applied to the internet of vehicles.
The big data analysis method applied to the Internet of vehicles has reasonable operation flow design, can realize accurate and stable acquisition, analysis and processing of vehicle data information, ensures the reliability of intelligent control on vehicle safe passage, improves the safety of intelligent control on vehicles in the Internet of vehicles, and enables the background to inquire, convert and analyze the data through the big data technology after the platform acquires the data to the background through the vehicle network, so that scattered data become available data.
The foregoing is only a preferred embodiment of this invention and it should be noted that modifications can be made by those skilled in the art without departing from the principle of the invention and these modifications should also be considered as the protection scope of the invention.
Claims (2)
1. Big data analysis method applied to Internet of vehicles is characterized in that: comprises the following steps of (a) carrying out,
step 1, a data analysis tool inquires data from an original database;
step 2, the data conversion tool converts the query data;
step 3, calculating the data by a data real-time calculation module;
step 4, the data storage module stores the converted data into a database;
and 5, displaying the data analysis platform by the data analysis tool.
2. The big data analysis method applied to the Internet of vehicles according to claim 1, wherein: firstly, in step 1, a data analysis tool queries from a PowerView dynamic atlas module, wherein, the PowerView dynamic atlas module can actively carry out machine learning, data mining and semantic search, the semantic search data of the PowerView dynamic atlas module is stored in a massive structured storage system or a massive unstructured storage system, while mass structured storage systems or mass unstructured storage systems are managed through a distributed file system, then step 2 and step 3 data conversion tool and data real-time calculation module convert and calculate the data, the method comprises the processes of data mutual transfer, data extraction, data conversion and transfer, and finally, the mass structured storage system or the mass unstructured storage system in the steps 4 and 5 is used as a data storage module to store the converted data, and the data analysis tool extracts the data information to be inquired in the step 1 to perform platform display.
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| CN202010526803.6A CN111737328A (en) | 2020-06-11 | 2020-06-11 | Big data analysis method applied to Internet of vehicles |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109408548A (en) * | 2018-09-19 | 2019-03-01 | 中国电力科学研究院有限公司 | A kind of urban electric power big data application system and method |
| CN110297847A (en) * | 2019-07-03 | 2019-10-01 | 牡丹江师范学院 | A kind of intelligent information retrieval method based on big data principle |
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2020
- 2020-06-11 CN CN202010526803.6A patent/CN111737328A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109408548A (en) * | 2018-09-19 | 2019-03-01 | 中国电力科学研究院有限公司 | A kind of urban electric power big data application system and method |
| CN110297847A (en) * | 2019-07-03 | 2019-10-01 | 牡丹江师范学院 | A kind of intelligent information retrieval method based on big data principle |
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