Research and development of data compression methods for technical monitoring systems

A. G. Yakunin
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Abstract

Objective . The aim of the study is to develop methods for data compression in relation to monitoring systems. Method . The studies were carried out mainly experimentally, by processing data generated by the information-measuring system of the Altai State Technical University in the process of meteorological observations, temperature control and control of the consumption of such energy resources as hot and cold water, heat supply. However, when it was proposed to change their structure and presentation form to compact the stored data, the degree of compression was found theoretically. Result . The results of studies conducted with the participation of the author of the publication in the field of data processing, transmission and storage are presented. Methods for streaming data compression “on the fly” as it arrives, both lossy and lossless, as well as methods based on optimizing the structure of databases designed to store information collected during monitoring, are considered. The main attention is paid to the consideration of data compression created in the process of temperature monitoring, since it is the control and monitoring of temperature processes that is most common in various technical process control systems, heat metering systems both on the consumer side (housing and communal services) and on the side of the heat supply organization. Conclusion . In the vast majority of cases, lossless compression allows you to compress the information received from the monitoring system by more than 10 times, and lossy compression is much stronger, and without losing the pragmatic value of the stored information.
技术监控系统数据压缩方法的研究与开发
目标。这项研究的目的是发展与监测系统有关的数据压缩方法。方法。研究以实验为主,利用阿尔泰国立技术大学信息测量系统在气象观测、温度控制和冷热水、供热等能源消耗控制过程中产生的数据进行处理。然而,当提出改变它们的结构和表示形式来压缩存储的数据时,从理论上找到了压缩的程度。结果。本文介绍了在出版物作者的参与下,在数据处理、传输和存储领域进行的研究结果。考虑了流数据到达时“在飞行中”压缩的方法,包括有损和无损,以及基于优化数据库结构的方法,这些数据库旨在存储监控期间收集的信息。主要关注的是对温度监测过程中产生的数据压缩的考虑,因为在各种技术过程控制系统中,温度过程的控制和监测是最常见的,无论是在消费者方面(住房和公共服务)还是在供热组织方面。结论。在绝大多数情况下,无损压缩允许您将从监控系统接收到的信息压缩10倍以上,有损压缩要强得多,而且不会失去存储信息的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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8 weeks
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