A dynamic compression method for real-time monitoring data of mine environment with variable step

A technology for environmental monitoring and real-time monitoring, applied in database indexing, electrical digital data processing, structured data retrieval, etc., can solve problems such as dynamic compression, lossy compression, and inability to obtain compression steps that are difficult to apply to real-time monitoring time-series data

Active Publication Date: 2019-05-17
CHINA UNIV OF MINING & TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the dimensions of the compressed data can be expanded arbitrarily without limitation, this method uses fixed components to perform linear combination of M time-based functions to achieve time-series data fitting and compression. The fixed components prevent data compression from changing according to the time-series data. Lossy compression of different degrees is difficult to apply to the dynamic compression of real-time monitoring time-series data such as mine environmental monitoring data, and it is impossible to dynamically obtain the compression step (variable) according to the warning level of mine environmental monitoring. It is difficult to ensure the change trend of time-series data Realize dynamic compression of data without changing

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 dynamic compression method for real-time monitoring data of mine environment with variable step
  • A dynamic compression method for real-time monitoring data of mine environment with variable step
  • A dynamic compression method for real-time monitoring data of mine environment with variable step

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0085] Embodiment 1: The compression method uses a variable step size compression algorithm to dynamically compress the real-time monitoring data of the mine environment, including the following steps, such as figure 1 Shown:

[0086] 1) Deploy a variety of mine environment monitoring sensors in the mine to collect time series data of mine environment monitoring, and transmit the time series data of mine environment monitoring to the network database through Internet communication technology;

[0087] 2) Divide the mine environment monitoring time series data into real-time monitoring data and historical monitoring data, and use the mine environment monitoring time series data obtained by each mine environment monitoring sensor as the original data for preparing the mine environment monitoring data sample within the specified time;

[0088] 3) Sort the mining environment monitoring data samples from small to large, and divide them into four equal parts; use the quartile and interquar...

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 relates to a variable-step-length dynamic compression method for real-time monitored data in a mine environment, belonging to a time sequence data compression method. The method is a variable-step-length data compression method, which is designed for the real-time performance, the timeliness, the multi-source performance and the massive performance of monitored data of a mine hydrological sensor; sample characteristics of monitored data of the mine environment are analyzed, so that an real-time early warning level dividing point of the mine environment is calculated; the event early warning level of the mine environment is comprehensively calculated; compression step lengths of real-time and historical monitored data are respectively calculated; and a compression algorithm of the historical and real-time monitored data is designed. By means of the variable-step-length dynamic compression method for the real-time monitored data in the mine environment disclosed by the invention, a monitored data sample of the mine environment can be dynamically adjusted; the event early warning level of the mine environment is calculated; a monitored data compression function having the variable compression step length can be realized; by means of the method, the change tendency of the monitored data can be reflected as much as possible; while motored time sequence data characteristics are reserved, the data storage space and the time can be simplified; and the monitored data inquiry and display efficiency can be increased.

Description

Technical field [0001] The invention relates to a variable step length time series data compression method, in particular to a variable step length mine environment real-time monitoring data dynamic compression method. Background technique [0002] The mine environment monitoring system based on the Internet of Things deploys a variety of mine environment monitoring sensors under the mine. Through Internet communication technology, the real-time monitoring time series data can be transmitted to the network database on the remote server, and the mine environment monitoring time series data can be collected and sent to the Users provide real-time monitoring data services for the mine environment. However, the mine environment monitoring system is faced with the need for real-time and comprehensive monitoring of various parameters of the mine environment to be able to dynamically, real-time and comprehensively reflect the research needs of the mine environment. This is bound to make...

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): G06F16/215G06F16/22G06F16/2458G06F16/248H03M7/30
CPCG06F16/215G06F16/22G06F16/2465G06F16/2474G06F16/248H03M7/30
Inventor 杨慧杨浩岳建华酆格斐
Owner CHINA UNIV OF MINING & 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