Internet of vehicles real-time data processing method and system
A technology for real-time data processing and Internet of Vehicles, which is applied in electrical digital data processing, special data processing applications, transmission systems, etc., and can solve problems such as difficult data extraction, management and processing, real-time and reliability defects, and dirty data. Achieve the effect of improving real-time performance, improving traffic services and intelligent management, and improving data quality
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
no. 1 example
[0038] figure 1 It is a schematic composition diagram of the real-time data processing system of the Internet of Vehicles provided by the embodiment of the present invention. From figure 1 It can be seen from the figure that the system is mainly composed of modules of a real-time data monitoring layer 100 , a real-time data review layer 200 , a real-time data processing layer 300 , and a real-time data storage layer 400 . in:
[0039] The real-time data monitoring layer 100, the modules at this level are mainly responsible for real-time monitoring of the data source of the Internet of Vehicles terminal, to realize the real-time monitoring of the real-time update status of the terminal data, so as to provide "real-time" data for the real-time data review layer 200 . Wherein, in order to achieve an accurate and efficient monitoring effect, the present invention preferably adopts a monitoring strategy based on a combination of time difference and fixed frequency to dynamically ...
no. 2 example
[0052] In order to illustrate the technical solution of the present invention more clearly, the working method of the above-mentioned system will be briefly introduced below in conjunction with the accompanying drawings. As mentioned above, when the vehicle is running, due to the complex operating environment of the vehicle, abnormal data often occurs. These abnormal data include data containing errors, random error data, and data that is lost or distorted. The data were eliminated or filled in appropriately. On the other hand, although the on-board data collected by the terminal at a certain point in time is a discrete data variable, it is actually a certain data in a time series, which is related to the previous data in the time series. Therefore, using previous relevant historical data, missing data or eliminated abnormal data can be predicted and filled, so as to obtain normal data sequences, and then provide more specific, accurate and reliable vehicle operation and statu...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com