scholarly journals IoT Prototype Development of Automatic Fish Feeder and Water Replacement

Author(s):  
Devi Ratnasari ◽  
Rodhiyah ◽  
Arif Pramudwiatmoko

In raising the freshwater fish in the aquarium, we need to pay attention on the fish’s health by noticing the feeding time and the aquarium cleanness. The busy fish owners sometimes do not have time to clean the aquarium and replace the water. The food is even not given regularly. The system which can be developed to help the fish owners in handling the problems in raising the fish is the scheduled automatic feeding monitoring system and automatic water changer when the water has turned turbid. The system is developed by using the NodeMCU ESP8266 as the controlling center and in the same time it helps the system to connect to internet. The system is equipped with the website page to help the fish owner in monitoring the aquarium condition from the distance.

Mekatronika ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 68-78
Author(s):  
Gunalan Sanasie ◽  
Zul Izwan Abdul Radzak ◽  
Muhammad Aizzat Zakaria

This research presents the Preventive Maintenance Data Logger (PMDL) Monitoring System and the process of how it has been manufactured. Preventive Maintenance Data Logger Monitoring System is a device which will collect the data from vehicle’s sensor for prevention maintenance and then save the data to other storage for future analysis. Preventive Maintenance Data Logger Monitoring System also can send notification to user for crash prevention. This project comprises of mechanical system, electronic system, and software system. The methodology of the Preventive Maintenance Data Logger system and prototype development is discussed in this paper on the manufacturing processes. The software is programmed using C language in Arduino software and the notification for preventive are develop using BLYNK application. Manufacturing processes involves in making this project, including additive manufacturing, welding and cutting. Several test case studies were conducted to verify the capability of the device in term of the vehicle speed, location, crash point data, distance between other vehicles detection and reliability.


2022 ◽  
pp. 505-515
Author(s):  
Osikemekha Anthony Anani ◽  
Charles Oluwaseun Adetunji ◽  
Olaniyan T. Olugbemi ◽  
Daniel Ingo Hefft ◽  
Nwankwo Wilson ◽  
...  

2014 ◽  
Vol 13 (1) ◽  
pp. 144 ◽  
Author(s):  
Kirpal Kohli ◽  
Jeff Liu ◽  
Devin Schellenberg ◽  
Anand Karvat ◽  
Ash Parameswaran ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document