Big data computing control system and method based on a cloud service platform

A technology of cloud service platform and control method, which is applied in the field of big data computing control system based on cloud service platform, can solve the problems of low computing efficiency, high memory usage rate, slow data feedback, etc., and achieve energy efficiency improvement and reasonable structure , The effect of reducing energy costs

Inactive Publication Date: 2019-06-11
GLOBAL TONE COMM TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the existing big data analysis technology has a high memory usage rate, resulting in a low operation rate; the operation efficiency is not high, and the data feedback is slow

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
  • Big data computing control system and method based on a cloud service platform
  • Big data computing control system and method based on a cloud service platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0045] For the existing big data analysis technology, the memory usage rate is high, resulting in low computing speed; the computing efficiency is not high, and the data feedback is slow. The present invention utilizes the time series analysis method to effectively realize the monitoring of real-time dynamic data and the prediction of future trends; utilizes real-time big data calculation and analysis technology to complete dispatching algorithms, dynamic prediction, safety analysis, analyze the purchase amount of electric power or other energy sources, and predict energy Consumption and management of energy users. The inv...

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 belongs to the technical field of big data, and discloses a big data computing control system and method based on a cloud service platform. The data acquisition module is used for acquiring various data, the original data and the data processed by the parallel processing module and the log processing module are stored in the memory through the data storage module, and a user can check the various data through the display module. By means of the Spark memory computing technology, various common analysis algorithms are completed, the efficiency and the fault-tolerant rate are improved, and meanwhile computing results with high real-time requirements are pushed to an application layer or a client side. Real-time dynamic data monitoring and future trend prediction are effectivelyrealized by utilizing a time sequence analysis method; A real-time big data calculation and analysis technology is used for completing a scheduling algorithm, dynamic prediction and safety analysis,analyzing the purchase amount of electric power or other energy, predicting energy consumption and managing energy users. The system is reasonable in structure, and energy utilization can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of big data, and in particular relates to a big data computing control system and method based on a cloud service platform. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: With the development of the times, big data has penetrated into all aspects of our lives. The amount of data generated in economic life or industrial production is increasing, and the traditional computing control system is no longer enough to deal with such a huge amount of data. In order to make full use of these data to further accelerate technological progress or better serve people's lives, big data systems have emerged. The energy management platform exists as an independent software system. The key function is to display energy consumption classification indicators. It cannot be combined with the production control system, and it is difficult to achieve the goals of ...

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 Applications(China)
IPC IPC(8): G06F16/2458G06F16/2455G06F16/22
CPCY02D10/00
Inventor 程国艮李欣然
Owner GLOBAL TONE COMM 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