Design of Lighting System and Watering Automation Based Internet of Things with Message Queuing Telemetry Transport Protocol and Framework Flutter

Abstract

The management of electricity consumption for lamps and water tanks generally relies on a kWh meter, so it is still not effective because it can only monitor and limit electricity usage, not being able to turn off pumps and unused lights. These problems can be overcome with the Internet of Things, which is able to connect equipment through the internet network. The process requires a communication protocol system, which is efficient in terms of bandwidth, latency, and power consumption. The communication protocol model used in this study is Message Queuing Telemetry Transport, considering that this protocol can connect to slow networks. The test results show that the Message Queuing Telemetry Transport (MQTT) application has a better performance on the lighting and watering automation system, which is implemented on a mobile application using the Flutter framework to receive and display high-load garden light control, waterpump control and underground reservoir water level monitoring. The calibration results show that the HYSRF05 sensor can work well in the range of 50-150 cm, with a maximum relative error of 0.36%. The smallest distance change that can be detected by the sensor is 0.04 cm with a maximum relative error of 0.05%. With the magnitude of the error obtained, it can be said that the sensor is suitable for use as a water level detector in an underground reservoir water level monitoring system. The power consumption for lighting and water pumps shows that the design of this system has an impact on power savings of 118.03 kWh. With the Flutter framework, a Mobile Application was built to manage and handle underground reservoir water level monitoring system data, so that users can set conditions to notify users about water level thresholds, use of lighting devices and water pumps through a Mobile Application that is equipped with a Notification feature that is integrated in real-time.