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Internet of things (IoT) based automatic room temperature monitoring and control with EGS-PWS 2.0.

Authors :
Ega, Adindra Vickar
Ginanjar, Gigin
Azzumar, Muhammad
Achmadi, Aditya
Source :
AIP Conference Proceedings. 2023, Vol. 2654 Issue 1, p1-12. 12p.
Publication Year :
2023

Abstract

Environmental condition is one of the parameters that cannot be neglected in the measurement or calibration activity in the calibration and testing laboratory, especially when it affects the measurement results. Therefore, according to the ISO/IEC 17025:2017 Clause 6.3.3, laboratory must perform the monitoring, recording, and controlling of the environmental condition to meet its requirement. This paper discusses the development of EGS-PWS (Piston Weather Station) Version 2.0 based on Internet of Things (IoT) application with NodeMCU, MicroPython programming, and MQTT (Message Queuing Telemetry Transport) communication protocol, to perform the data acquisition of environmental condition and automatic temperature control in SNSU-BSN. NodeMCU ESP32 as the node sensor or publisher, in which is integrated with the DHT22, BMP180, and MAX31865 module sensor, is able to read and publish the environmental condition data to the ThingSpeak® as the IoT Platform and MQTT Broker. Meanwhile, the NodeMCU ESP8266 as the subscriber of the "field1" or room temperature topic, is able to control the room temperature automatically with relay module and air condition (AC) remote control as the actuator, without the need of waiting the instruction or command from the user remotely. With the initial room temperature of 25.6 °C, the result shows that the EGS-PWS Version 2.0 is successfully demonstrated to read and publish the environmental condition data to the ThingSpeak channel of the user, able to control the increasing or decreasing room temperature of 1°C in each updated message input in "field1" for a specific time interval, and meet the room temperature requirement of (22 ± 1) °C with 100% control accuracy in SNSU-BSN. The respond system characteristic shows that the obtained rise time and settling time are 59 minute 19 second and 1 hour 3 minute 27 second, respectively. Therefore, it can be concluded that the EGS-PWS Version 2.0 is possible to be implemented in all of the calibration and testing laboratory. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2654
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
161906771
Full Text :
https://doi.org/10.1063/5.0115240