Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Internet of Vehicles data analysis platform based on big data architecture

A data analysis and big data technology, applied in the field of big data car networking data analysis, can solve problems such as undocking, low stand-alone processing performance, irregular model training and analysis process, etc., and achieve the effect of visual data analysis

Inactive Publication Date: 2021-03-16
江苏海平面数据科技有限公司
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a car networking data analysis platform based on a big data architecture, and its purpose is to solve the problems that the traditional data analysis platform cannot be connected with the online environment, the model training and analysis process is not standardized, and the stand-alone processing performance is low.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Internet of Vehicles data analysis platform based on big data architecture
  • Internet of Vehicles data analysis platform based on big data architecture
  • Internet of Vehicles data analysis platform based on big data architecture

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] Such as figure 1 Shown is a platform architecture diagram of a big data architecture-based Internet of Vehicles data analysis platform proposed by the present invention. The Internet of Vehicles data analysis platform includes a data receiving module, a data analysis task management module, and a data push module;

[0052] The data receiving module is used to receive the real-time data reported by the terminal, and perform preprocessing operations such as null value checking, missing value filling, abnormal value detection and other preprocessing operations on the data, and carry out segmentation packaging and writing to the message according to the driving cycle for the data that meets the conditions Middleware Kafka and distributed file system HDFS;

[0053] The data analysis task management module assembles the data analysis tasks according to different task types, and submits the data analysis tasks to the Spark distributed computing engine for calculation according...

Embodiment 2

[0056] Such as Figure 2-4 Shown is a task execution flow chart of an Internet of Vehicles data analysis platform based on a big data architecture proposed by the present invention, wherein the data analysis tasks are divided into three categories: offline training tasks, online analysis tasks, and offline analysis tasks. According to the task type The corresponding execution process is also different.

[0057] Offline training task execution steps: the first step is to upload the task code jar package for offline training; the second step is to associate the target vehicle number set to be analyzed; the third step is to select the range of the data set to be analyzed, that is, the date directory on HDFS; the fourth step The first step is to customize the visual dashboard in the data visualization module and associate it with the analysis task; the fifth step is to adjust the relevant parameters of the analysis task according to actual needs before starting the task; the sixth...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an Internet of Vehicles data analysis platform based on a big data architecture. The platform comprises a data receiving module, a data analysis task management module and a data pushing module, the data receiving module receives the collected data reported by a vehicle-mounted terminal, judges and processes the collected data according to a certain data preprocessing logic, and writes the data meeting a certain condition into message middleware Kafka; the data analysis task management module submits a data analysis task to a Spark distributed computing engine, performsunified monitoring and management in the execution process of the data analysis task, and writes monitoring indexes and a final analysis result in a database Clickhouse in the operation period of thedata analysis task; the data pushing module receives a request that a user subscribes a certain data analysis task to output a result based on a Websocket protocol; and the problems that a traditional data analysis platform cannot be connected with an online big data scene environment, and the model training analysis process is not standard are solved.

Description

technical field [0001] The invention relates to a car networking data analysis platform based on a big data architecture, and belongs to the technical field of big data car networking data analysis. Background technique [0002] With the continuous implementation and improvement of industrial policies and the maturity and popularization of vehicle-mounted smart terminal technology, more and more companies have completed the reception and storage of vehicle data; however, in the face of massive data reported by terminals, most of the current applications are Do some processing on current real-time data, or do some simple statistical analysis on historical data. However, in stark contrast to this is the high cost of platform construction and maintenance and storage costs; Information is reported once every 10 seconds. If each piece of information is 1KB (after compression), the storage requirement for one year is about 3PB, and the storage cost is nearly one million yuan. [...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F16/2458G06F16/2455G06F16/215G06F16/2457G06F16/248G06F16/182G06F9/54
CPCG06F9/546G06F2209/547G06F16/182G06F16/215G06F16/24561G06F16/2457G06F16/2465G06F16/248
Inventor 王欣然孙杰沈祥红
Owner 江苏海平面数据科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products