Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Dynamic compression prediction control method of continuous monitoring data in unstable network transmission

A technology for monitoring data and network transmission, applied in transmission systems, electrical components, etc., can solve problems such as network forecasting, setting different constraints, and undisclosed mathematical model formulas, so as to reduce time-consuming transmission and ensure accuracy.

Active Publication Date: 2020-02-07
CHONGQING UNIV
View PDF9 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of this comparison document is to establish a mathematical model and solve it with the goal of optimal energy consumption. It does not model with the goal of time optimization. Therefore, the mathematical model formula composed of compression, transmission, and decompression is not disclosed, and the constraints are established. It is not the same; the comparison file did not take into account the unstable network conditions during the calculation process, and did not predict the current network, so it cannot be applied to unstable networks

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
  • Dynamic compression prediction control method of continuous monitoring data in unstable network transmission
  • Dynamic compression prediction control method of continuous monitoring data in unstable network transmission
  • Dynamic compression prediction control method of continuous monitoring data in unstable network transmission

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The present invention will be further described below in conjunction with drawings and embodiments.

[0053] Such as figure 1 , figure 2 and image 3 As shown, the dynamic compression predictive control method of the continuous type operation detection data of the power system in the continuous type monitoring data in the unsteady network transmission is described as an embodiment, including the following steps:

[0054] S1: Periodically collect the network rate in the power system to obtain the current network data;

[0055] S2: According to the current data transmission environment, it takes T time to obtain the current direct transmission of continuous data;

[0056] S3: Predict the next time period at the current moment The change trend of the internal transmission rate;

[0057] S4: Obtain the time-consuming of future direct transmission according to the change of future transmission rate

[0058] S5: Establish an optimization model based on the current t...

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 dynamic compression prediction control method for continuous monitoring data in unstable network transmission. The dynamic compression prediction control method comprises thesteps: S1, a data acquisition step, S2, a step of modeling and calculation of a compression ratio, S3, a compression transmission step; and S4, a decompression step. Compared with a transmission optimization method based on lossless data compression, the transmission time consumption optimization method based on the dynamic compression ratio is adopted to reduce the transmission time consumption,so that the compression, transmission and decompression time consumption is greatly saved; the data is processed according to time periods, the compression ratio is calculated by predicting the network speed, and the method is suitable for an unstable network environment; constraint conditions are set by calculating direct transmission time consumption of original data in a predicted network speed environment, the predicted network speed compression ratio is calculated and compared with the current network speed compression ratio in combination with a function taking minimum time consumptionas a target, and the accuracy of the optimal compression ratio is ensured.

Description

technical field [0001] The invention relates to the technical field of data compression, in particular to a dynamic compression predictive control method in an unsteady network. Background technique [0002] Data compression is a widely used processing method that guarantees the quality of the original data and reduces the size of the data. However, the compression and decompression itself takes time and is closely related to the compression ratio. If data compression is used to improve network transmission efficiency, the following issues need to be considered: [0003] 1. The entire monitoring data transmission task includes the whole process from the bottom sensor collection to uploading to the target object and restoring to the original data. In this process, the optimal compression ratio is only selected according to the current network environment and data proportion and Unreliable, ignoring the influence of the fluctuation frequency of the data transmission rate on t...

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): H04L29/06
CPCH04L69/04
Inventor 张可柴毅叶胜强彭志杰刘超宋鑫张龙
Owner CHONGQING UNIV
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
Eureka Blog
Learn More
PatSnap group products