A device and method for collecting and processing massive time-series data based on big data technology

A big data technology and time-series data technology, which is applied in the field of massive time-series data collection and processing devices, can solve problems such as centralized deployment of group-level application systems, and achieve long-term historical data storage problems, high timeliness, and cost reduction. Effect

Active Publication Date: 2019-06-14
SHANDONG LUNENG SOFTWARE TECH
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] However, it is currently impossible to solve the centralized deployment of group-level application systems, the functional and performance requirements for massive time-series data collection and transmission during the construction of data center servers and data mining centers, and provide a low-cost data collection and transmission that supports horizontal expansion. method, it is imperative to construct a massive time-series data collection device and method based on big data technology,

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
  • A device and method for collecting and processing massive time-series data based on big data technology
  • A device and method for collecting and processing massive time-series data based on big data technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The concrete implementation of the present invention is described in detail below, it is necessary to point out here that the following implementation is only used for further description of the present invention, and can not be interpreted as limiting the protection scope of the present invention. Some non-essential improvements and adjustments still belong to the protection scope of the present invention.

[0039] The present invention provides a massive time series data collection and processing device based on big data technology, as shown in the attached figure 1 As shown, it includes a data collection device 1, a data collection device 2, and a data center server 3, wherein the data collection device 2 is connected to the data collection device 1 and the data center server 3 respectively;

[0040] The data acquisition device is used to obtain the user's electricity consumption monitoring data in real time or quasi-real time, and transmit the collected user's electri...

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 device and a method for collection and processing of massive time series data based on a big data technology. The device comprises a data acquisition device, a data collection device and a data center server, wherein the data collection device is respectively connected to the data acquisition device and the data center serve. According to the device and the method, the massive real-time data can be processed quickly, effectively and timely while the safe, stable and effective running of equipment can be guaranteed.

Description

technical field [0001] The invention relates to the application field of electricity consumption data analysis, in particular to a device and method for collecting and processing massive time-series data based on big data technology. Background technique [0002] With the rapid development of computer technology, the data in various industries has grown rapidly, the amount of data has become larger and larger, the types have become more and more, and the data structure has become more complex. Traditional databases are not only placed independently for each device, but also require more The large deployment space has disadvantages such as difficult deployment and high cost, and cannot meet the general requirements of users. [0003] Time-series data is time-series data with time tags. Its typical characteristics are fast generation frequency, heavy dependence on collection time, and large amount of information from multiple measurement points. In the power industry, in orde...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/22G06F16/215
CPCG06F16/215G06F16/22G06F2216/03
Inventor 孟瑜丁书耕邢宏伟丛兴滋杨立涛刘涛王庆刚徐冉段培见苏京彬张俊岭刘猛刘韩旭
Owner SHANDONG LUNENG SOFTWARE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap