The objective of this research is to make a constant pressure control in water supply with the method of PID using PLC Siemens S7-1200 as a controller and also to monitor the process of its work system from a distance through the internet of things (IoT). The water distribution system is created utilizing 3 phase pump which will supply water from the tank. The pressure sensor will be used as an analog input signal of PLC to detect the pressure of water in the pipe. Using inverter, water pressure will be kept constantly matched with the desired set point through the setting of pump speed using the digital PID method that is available on PLC. The score of the set point is done through HMI of touch panel KTP700basic. By using Wi-Fi communication that has been connected to the internet, PLC data can be sent to a cloud server through raspberry pi3 using the MQTT protocol. Raspberry pi3 program is designed using the java script coding language. Research result showing that this system can keep the water pressure at a constant level of 1.2 bar in the water supply. It is also able to monitor the water pressure through HMI and handphone via IoT Technology in the GoIoT server.
This research aims to design a pipe cutting machine using an AC servo motor and PLC as a controller based on HMI (Human Machine Interface). The use of AC servo motors is done to maintain accuracy and precision in cutting pipe lengths. This research uses experimental methods which include hardware and software design. PLC LS XGT Series is used to control the pipe cutting machine automatically based on the input signal from the proximity and encoder. Proximity is used to detect the presence of pipe while the encoder is used to detect AC servo motor rotation. By knowing the number of turns of the AC servo motor through the encoder, the length of the pipe can also be determined. The AC servo motor with Mitsubishi HC-KFS43 400W models is used to pull the pipe, gripping the pipe, and moving the cutting machine while a modified AC circle saw motor is used to drive the cutting blade. Based on the results of the study, the cutting machine can cut pipes automatically according to the desired number and length of the pipe. The work process can be monitored and controlled on a computer through HMI.
Most industries use the manual sorting process to sort consumer goods production. The problem of manual sorting is taking a long time to complete the work. The industry should be demanded to be faster and more efficient in meeting consumer needs. The purpose of this research is to make a tool that can sort goods automatically into the warehouse using RFID technology by combining Arduino and PLC as the controller. The number of items that have been sorted can be monitored remotely by using the Internet of Things (IoT). By identifying the items using RFID makes work more concise and efficient. This research uses an experimental method. The automatic sorting system uses an RFID reader to read ID cards that have been installed on the goods side. The ID cards are processed into Modbus data to be sent to the PLC Siemens S7-1200 via Ethernet Shield that is connected to the Arduino Mega 2560. The PLC will select items to be placed on each conveyor. The results of this study showed that the system can work automatically in the sorting of consumer goods and can monitor the process of its work system on the GOIOT platform via the internet network.
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