Algorithm for aperture telemetry supervisory system oil production
The article deals with the problem of multiple access transmission medium supervisory system on objects of oil production. In order to increase the speed of data transfer is justified using random access medium. The author has identified disadvantages of these methods and how to resolve them. As additional measures to improve the characteristics of the network load control prompted the central link of the base station by keeping the volume of information transmitted at an acceptable level. To be able to manage network traffic provides the use of event-driven (sporadic) mode survey data from controlled oil production facilities. In order to study the control object analyzed the dynamics of technological processes on the basis of historical data Oil Company. The analysis showed that the main causes of events are changes in the values of continuous parameters (telemetry) on the threshold (aperture). This determined the feasibility of adaptive control aperture value telemetry to limit network congestion. As an adaptive algorithm development methodology proposed the use of one of the optimization methods - Mamdani fuzzy inference on the basis of formal criteria of optimality. Computer modelling the transfer of process data and analysis of the results confirmed the effectiveness of the proposed approach. As a result, it was shown that the proposed technique allows the author to support the load of the network at an acceptable level of reliability at high dynamics of the process display in the control centre.