基于集中式智能控制系统上位机数据采集算法

将集中式控制系统是将常用的二层结构改进为智能化三层结构的设计方案,即传感器、智能巡检仪和上位机。上位机既可以直接读取传感器的数据也可读取智能巡检仪的采集数据。此方案较好地解决了二层结构所出现的问题,并且也适合较大规模的其它类型的控制系统。但这种设计方案存在当传感器数量规模较大时上位机所采集数据出现丢失现象。为此提出了利用数据库的历史数据及工艺控制曲线的线性特征的数据采集补赏算法,较好地解决了数据丢失的问题。并以温控系统为例仿真了在较大规模控制环境下的算法性能,试验结果达到了研究目的。

Based on centralized Intelligent Control System Data Collection algorithm design

This article describes a design scheme which changes the commonly used bi-layer structure of centralized temperature control systems into three-tier structure, which contains three layers: thermostat, intelligent logging device and upper computer. Upper computer can directly read data both from thermostat and the data collected by intelligent logging device. This scheme can solve the problems resulting from two-layer structure well and is also suitable for larger-scale control systems of other types. However, there still exists data loss in this scheme when systems reach a great scale. The article proposes a method of using historical data in the database and linear attributes of temperature curves to improve data collection algorithm, preferably solving this data loss problem. And temperature control system, for example simulation algorithm performance in large-scale control environment, test results achieved research purposes.