| The oil farm is professional warehouse that stores and supplies the oil product, and is the tie that coordinates the crude oil producing and processing, the oil transporting and supplying. For a long time, the datum of oil farm had been collected manually. On one hand, it is not only inefficient but also fallible;On the other hand, it is inconvenient to find out the real-time running situation of the field in time and to improve the level of enterprise's standardized management. Along with the development of automation technology and information technology in oil and chemistry industry, Oil Farm Supervisory Control System is attracted more and more attention.This thesis is based on a project of Oil Farm Supervisory Control System, which consists of inferior hardware system for control and superior software system for supervisory. In the inferior hardware system, it is used PLC (Programmable Logical Controller) to collect and manage the numeral signals, analog signals, pulse signals and to communicate with the level indicator based on RS485 and also to control the pumps and valves. In the superior software system, it is developed the program by Ifix to support the guests to find out the real-time running situation of the field in time.For Oil Farm Supervisory Control System, the precision of standard density is extremely important. The author worked out the standard density of crude oil by Polynomial Curve Fitting and Neural Network. Compared with Polynomial Curve Fitting, the standard density calculated by Neural Network is more accurate.Actual uses show that Oil Farm Supervisory Control System can increase the efficient and veracity in the oil transport, and decrease the working intention. The perspective purpose is carried out. |
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