**5. Real time PID tuning control for LD didactic temperature plant**

In addition to the existing control engineering laboratories, integrating an industryrelevant process with a remote lab has increased the understanding of temperature process modeling and tuning scheme. Obtaining accurate temperature control is crucial when simulate the PID tuning parameters namely K (proportional gain), Ti (integral time) and Td (derivative time). **Figure 10** demonstrates the experimental setup of the temperature measurement system. The plant contains several modular types of thermocouple unit, signal conditioning unit, meter, and processing unit to preinstall with LABVIEW. Real-time tests are shown in **Figure 11**, have revealed that the acquired measurement of plant temperature with several PID setting can be observed from the

**Figure 9.** *Blynk interface with widgets configured for remote monitoring.*

*LabVIEW - A Flexible Environment for Modeling and Daily Laboratory Use*

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**Figure 8.**

**Figure 7.**

*VIs for Arduino-LABVIEW serial read and write.*

*write (2) waveform chart (3) PID setting parameters.*

*VIs from the front panel of the PID control and monitoring system (1) Arduino-LABVIEW serial read and* 

**Figure 10.** *Experimental setup.*

produced graph. The result based on the graph which represented from the PID tuning demonstrate the working of Blynk application to transfer and receive temperature data is acceptable and reliable. Moreover, the alert system was designed to alert when our hardware interface disconnects from the Blynk (**Figure 9**). Thus, IOT interface has made possible with the presence of low-cost module. Additionally, this study will also provide learning experience in creating a framework to digitize an existing process for monitoring purposes.
