Desarrollo de un controlador inteligente difuso para el sistema de bombeo de fuentes de CO2 con monitoreo remoto y en tiempo real desde un Scada Web

Abstract

The following thesis has been conducted in order to promote the use of new industry 4.0 technologies which allow to control, monitor and analyze data remotely by using existing smart controllers that are already in the market. These technologies have been applied in a CO2 liquid production plant. The following project had as its starting point the assembly of electric cabinets in the main CO2 sources, which keep differential pressure sensors which themselves are connected to a Siemens S7-1200 PLC that transforms the electric signal (Voltage V) into the physical signal (cmH20 pressure). As the CO2 comes from a natural source, its flow remains variable at different times of the day, causing as well during those times a variable CO2 liquid production. Additionally, as the pressure is not being controlled, the receiver tanks are more susceptible to damage caused by implosion, hence a fuzzy smart controller was introduced to keep the pressure at the desired level as specified by the technician on duty. This controller was programmed by a third Siemens s7-1200 PLC with an analog output module and it was also connected to a 30 HP speed shifter which itself was connected to an asynchronous triphasic motor mechanically coupled to a lobe compressor. The setpoint parameters, process values, motor frequency and working hours are controlled and monitored in real time from a SCADA WEB SERVER which was implemented with web development tools such as HTML, CSS and JavaScript, free of charge text editing tools such as SublimeText3 and the PLC s7 1200 WEB service tool. To conclude, the implemented SCADA WEB SERVER presents a great alternative in the design of data acquisition systems, providing very fast response times when reading and writing system variables as well as an increment in the companies revenue by removing licensing costs coming from other software. Additionally, the fuzzy controller provides an improvement in the process stability when compared to the classic PID controller.