Prototype of Microhydro Generator with Complement Load and Telemonitoring Using Labview Software with ESP8266 Module Interface

Kusriyanto, Medilla; Utama, Hanif Burhanuddin Putra; Rais, Rao Naveed Bin

doi:10.1088/1742-6596/1201/1/012014

Cited by 3 publications

(1 citation statement)

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“…Many research papers in this domain propose sensors and transducers embedded in microcontrollers integrated wireless transmission with local or cloud databases that translate input data into valuable and efficient information. To mention some of these works are: in [6] proposed a low-cost, simple weather monitoring and controlling system using ESP8266 NodeMCU, in [8] proposed monitoring system for a greenhouse based on NodeMCU ESP8266 and Blynk, in [11] proposed a prosthetic hand control interface using an ESP8266 Wi-Fi module, in [12] proposed a remote medical diagnosis system using NodeMCU ESP8266, in [21] proposed a prototype of micro-hydro monitored remotely using ESP8266 and LabVIEW, in [22] proposed smart monitoring for a pressure regulator based on IoT, in [23] discussed implementation of an industrial level sensor data acquisition and monitoring system using IoT, in [24] provided a sensing and monitoring system based on Thingspeak with Mathlab analysis, and in [25] proposed monitoring and leakage detection system using NodeMCU ESP8266 and Wi-Fi technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart monitoring system using NodeMCU for maintenance of production machines

Pranowo

Artanto

2022

IJEECS

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Maintenance is an activity that helps to reduce risk, increase productivity, improve quality, and minimize production costs. The necessity for maintenance actions will increase efficiency and enhance the safety and quality of products and processes. On getting these conditions, it is necessary to implement a monitoring system used to observe machines' conditions from time to time, especially the machine parts that often experience problems. This paper presents a low-cost intelligent monitoring system using NodeMCU to continuously monitor machine conditions and provide warnings in the case of machine failure. Not only does it provide alerts, but this monitoring system also generates historical data on machine conditions to the Google Cloud (Google Sheet), includes which machines were down, downtime, issues occurred, repairs made, and technician handling. The results obtained are machine operators do not need to lose a relatively long time to call the technician. Likewise, the technicians assisted in carrying out machine maintenance activities and online reports so that errors that often occur due to human error do not happen again. The system succeeded in reducing the technician-calling time and maintenance workreporting time up to 50%. The availability of online and real-time maintenance historical data will support further maintenance strategy.

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