Supercharge Your Innovation With Domain-Expert AI Agents!

Multi-concurrent data processing method and device

A technology for parallel processing and processing containers, applied in the field of vehicles, which can solve the problem of high concurrent task processing that cannot fully utilize hardware resources

Pending Publication Date: 2022-04-12
CHINA FIRST AUTOMOBILE
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a multi-concurrent data processing method and device to at least solve the technical problem in the prior art that hardware resources cannot be fully utilized for high-concurrency task processing

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
  • Multi-concurrent data processing method and device
  • Multi-concurrent data processing method and device
  • Multi-concurrent data processing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] According to an embodiment of the present invention, an embodiment of a multi-concurrent data processing method is provided. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and , although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0028] figure 1 It is a flowchart of a multi-concurrent data processing method according to an embodiment of the present invention. Such as figure 1 As shown, the method may include the following steps:

[0029] Step S102, acquiring road test data collected by the vehicle.

[0030] In the technical solution provided in the above step S102 of the present invention, the road test data can be the data collected by the car during the automatic driving process, can be the speed, acceleration and time ...

Embodiment 2

[0056] The technical solutions of the embodiments of the present invention are illustrated below in combination with preferred implementation modes.

[0057] The core of the self-driving car is the self-driving system composed of artificial intelligence, visual computing, radar and global positioning system, so the quality of the self-driving system determines whether the self-driving car can be used in real life on a large scale In the final analysis, all behaviors are actually data-driven. Only by using massive high-quality data to train different modules in a timely manner can the automatic driving system be continuously optimized. Existing hardware can quickly and timely process and screen valuable data, which is crucial for the rapid iteration and development of the automatic driving system.

[0058] How to use limited hardware resources in a timely manner to process the extremely fast accumulated test data is the main problem faced by the autonomous driving data platform...

Embodiment 3

[0099] According to an embodiment of the present invention, a multi-concurrent data processing device is also provided. It should be noted that the multi-concurrent data processing apparatus can be used to execute the multi-concurrent data processing method in Embodiment 1.

[0100] Figure 4 is a schematic diagram of a multi-concurrent data processing device according to an embodiment of the present invention. Such as Figure 4 As shown, the multi-concurrent data processing apparatus 400 may include: an acquisition module 401 , a decomposition module 402 , a submission module 403 and a processing module 404 .

[0101] The acquisition module 401 is configured to acquire the road test data collected by the vehicle.

[0102] The decomposition module 402 is configured to decompose the drive test data to generate multiple vehicle work tasks to be processed in parallel, wherein the vehicle work tasks are tasks for controlling the vehicle to work according to the specified contro...

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 a multi-concurrent data processing method and device. The method comprises the following steps: acquiring road test data acquired by a vehicle; decomposing the road test data to generate a plurality of vehicle work tasks to be processed in parallel, the vehicle work tasks being tasks for controlling a vehicle to work according to a specified control instruction; the plurality of vehicle work tasks to be processed in parallel are submitted to a container cluster manager, and the container cluster manager is used for arranging and scheduling computing resources in a server cluster; a container cluster manager schedules a plurality of processing containers to perform parallel processing on each vehicle work task to be subjected to parallel processing, a processing result is generated, each processing container is provided with a set of computing resources, and the computing resources are used for processing the vehicle work tasks. The technical problem that in the prior art, hardware resources cannot be fully utilized for high-concurrency task processing is solved.

Description

technical field [0001] The present invention relates to the field of vehicles, in particular to a multi-concurrent data processing method and device. Background technique [0002] At present, it is necessary to train different modules in a timely manner by using massive amounts of high-quality data in order to continuously optimize the automatic driving system. [0003] In related technologies, on the one hand, hardware resources cannot be expanded infinitely, and on the other hand, the data collected by self-driving cars is increasing rapidly every day. A car will collect 700MB of data per second, and the amount of data will reach 10T in a day. At the same time, the iteration speed of the algorithm depends on the generation speed of high-quality data, so if the data collected by the road test cannot be processed in time, it will greatly affect the optimization speed of the automatic driving system, and the existing processing logic is still insufficient. The problem of uti...

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): G06F9/48G06F9/50
CPCG06F9/48G06F9/50
Inventor 王振东张伟德朱军刘坤鹏郑朝友段锐孙建蕾任思阳葛绍亮刘加银
Owner CHINA FIRST AUTOMOBILE
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com