Data Gathering Optimization Strategy Based on Dynamic Frequency Algorithm for Remote Monitoring System

ZHANG Bin; ZHU Jian-tao; XU Zhao

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Data Gathering Optimization Strategy Based on Dynamic Frequency Algorithm for Remote Monitoring System

更新时间：2026-09-04

- Data Gathering Optimization Strategy Based on Dynamic Frequency Algorithm for Remote Monitoring System
- Vol. 33, Issue 8, Pages: 86-91(2016)
- 作者机构：
  
  桂林电子科技大学机构计算机科学与工程学院,广西,桂林,541004
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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张斌, 朱建涛, 徐曌. 基于动态频率算法的远程监控系统数据采集优化策略[J]. 微电子学与计算机, 2016, 33(8): 86-91.

ZHANG Bin, ZHU Jian-tao, XU Zhao. Data Gathering Optimization Strategy Based on Dynamic Frequency Algorithm for Remote Monitoring System[J]. 2016, 33(8): 86-91.
张斌, 朱建涛, 徐曌. 基于动态频率算法的远程监控系统数据采集优化策略[J]. 微电子学与计算机, 2016, 33(8): 86-91. DOI：

ZHANG Bin, ZHU Jian-tao, XU Zhao. Data Gathering Optimization Strategy Based on Dynamic Frequency Algorithm for Remote Monitoring System[J]. 2016, 33(8): 86-91. DOI：

摘要

提出一种基于动态频率算法的数据采集优化策略

以ARMA预测为基础

根据数据变化趋势

动态改变采集频率

从而以较小频率采集到报警信息

在保证关键信息准确采集的同时

提高了数据的实时性与数据挖掘效率.最后给出具体算法与实验

以及对比说明该算法的效果.

Abstract

The paper proposes an algorithm based dynamic frequency to solve the problem. Base the prediction of ARMA and data changing trend

the algorithm changes the frequency of data collection. Through the algorithm

the key information could be collected in time and the efficiency could be improved. At last

the algorithm and experiment will be displayed and the benefits of the algorithm in comparison with polling have been shown.

关键词

Keywords

references

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