Rancang Bangun Sistem Monitoring Berbasis Iot Pada Pembangkit Listrik Hybrid Di Dusun Penawar Laut
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Institusion
Politeknik Negeri Bengkalis
Author
Aswal, Putra
Subject
451 Teknik Elektro
Datestamp
2021-10-12 09:23:26
Abstract :
In Penawar Laut Hamlet there is a fishing boat dock that does not yet have a lighting system, making it difficult for fishermen to move at night, so that fishing activities can run easily, a hybrid power plant will be built. To facilitate the operation of this plant, an internet of things-based monitoring system will be created which is monitored via Android so that the state of the generator can be known using current and voltage sensors and speed sensors to determine the rotational speed of the turbine, for the load in the form of lighting two 10 watt DC lamps and a 5 watt DC lamp can be controlled on and off as needed. All existing sensors provide the required parameter information to the NodeMCU ESP8266 which is connected to the internet using MiFi so that it can be monitored on Android using the Blynk application anywhere and anytime. In this monitoring system, voltage can be monitored with an average percentage accuracy of voltage readings of 98 %, current sensor readings with an average percentage of reading accuracy of 97.28 % and turbine speed sensor readings having an average percentage of reading accuracy of 92, 94 %.
In Penawar Laut Hamlet there is a fishing boat dock that does not yet have a lighting system, making it difficult for fishermen to move at night, so that fishing activities can run easily, a hybrid power plant will be built. To facilitate the operation of this plant, an internet of things-based monitoring system will be created which is monitored via Android so that the state of the generator can be known using current and voltage sensors and speed sensors to determine the rotational speed of the turbine, for the load in the form of lighting two 10 watt DC lamps and a 5 watt DC lamp can be controlled on and off as needed. All existing sensors provide the required parameter information to the NodeMCU ESP8266 which is connected to the internet using MiFi so that it can be monitored on Android using the Blynk application anywhere and anytime. In this monitoring system, voltage can be monitored with an average percentage accuracy of voltage readings of 98 %, current sensor readings with an average percentage of reading accuracy of 97.28 % and turbine speed sensor readings having an average percentage of reading accuracy of 92, 94 %.
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