Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Processing method for fitting and sampling telemetry data of data acquisition and monitoring control system

A technology of monitoring control and telemetry data, applied in the field of data processing, can solve problems such as inaccurate analysis results, no data correlation processing, and unfavorable real-time environment use, so as to improve the accuracy of data sampling and avoid data deviation and abnormal effects

Inactive Publication Date: 2010-06-16
上海申瑞电力科技股份有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For real-time telemetry data, during the collection process, data deviations and abnormalities may occur due to reasons such as acquisition devices and data channels. Such deviations may affect the application analysis software and bring inaccurate analysis results
[0004] At present, the data sampling of domestic power application analysis software is generally based on the data processing of an independent section, directly using the sampled data, and not correlating the data in the time window, and the processing method is complicated, which is not conducive to use in a real-time environment

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
  • Processing method for fitting and sampling telemetry data of data acquisition and monitoring control system
  • Processing method for fitting and sampling telemetry data of data acquisition and monitoring control system
  • Processing method for fitting and sampling telemetry data of data acquisition and monitoring control system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings, but the present embodiments are not intended to limit the present invention, and any similar structures and similar changes of the present invention should be included in the protection scope of the present invention.

[0016] The present invention provides a fast data fitting method to solve this problem. Using this method can better obtain sampling data and obtain a reliable data source.

[0017] The data fitting method adopts the weighted mean method, and the data column X 1 , X 2 ,...,X n (n≥10), the weight W of these n data increases according to the proportional series, respectively: 2 -n ,2 1-n ,2 2-n ,…,2 n-1-n . Then the data sampling value is

[0018] E ( X ) = Σ 1 n W i × ...

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 processing method for fitting and sampling telemetry data fitting and sampling of a data acquisition and monitoring control system, and relates to the technical field of data processing. The invention aims to solve the technical problem to ensure that the data sampling accuracy is improved in the telemetry data sampling in a power system. The method comprises the following steps: 1) taking at least 12 sample data; 2) processing extreme values of the data: removing the maximum and the minimum; 3) solving a weighted value of fitting data; fitting the sample data E(Xi) according to a weighing formula; 4) computing a sampling error, wherein the sampling error e is equal to Xio-E(Xi); 5) setting a warning sign for acquired abnormal data; and for the given error limit Ee, if e is greater than Ee, transmitting the data exception warning, and using the fitting data to replace the sample data; and 6) saving the fitting data, repeating the steps 1) to 5), and performing fitting the sampled telemetry data. The method has the characteristics of avoiding data deviation and data exception, and improving the data sampling accuracy.

Description

technical field [0001] The invention relates to a data processing technology, in particular to a fast processing technology for remote measurement data sampling of a data acquisition and monitoring control system of an electric power system. Background technique [0002] The period of uplinking the real-time telemetry data of the power system to the main station is generally 2 to 3 seconds. It is the data source of most real-time application analysis software, and the preliminary processing technology for this data source has universal significance. [0003] For real-time telemetry data, during the acquisition process, data deviation and abnormality may occur due to reasons such as acquisition devices and data channels. Such deviation data may affect the application analysis software and bring inaccurate analysis results. [0004] At present, domestic power application analysis software generally bases data sampling on an independent cross-section, directly uses the sampled ...

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): G05B21/02
Inventor 李昌李毅
Owner 上海申瑞电力科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products