Abstract
With the ever-increasing richness of social resources, the number of devices using the Internet of Things is also increasing. Currently, many people keep pets such as fish in their homes, and they need to be carefully taken care of. In particular, it is necessary to create a safe and comfortable environment for them and to maintain this environment continuously. An adverse environment can affect the growth of fish and may even result in their death. This study used the LinkIt 7697 module and the BlocklyDuino editor to produce a control system for a smart aquarium. The purpose of this system is to monitor the temperature, light intensity, and water level in an aquarium, as well as to provide alerts to presence of intruders; therefore, temperature, light, ultrasonic, and infrared sensing modules are used. The system has set aquarium environment thresholds, and it processes the signals obtained by the sensors to control and optimize the outputs to loads using data fusion calculations so that the aquarium has the most comfortable environment for the fish. An automatic feeder is also included in the system, and this uses a servo motor. The data from the system is uploaded to a back-end computer through the built-in Wi-Fi system of the LinkIt 7697 module. The Cloud Sandbox platform is used to display the results in real time, achieving the purpose of remote network monitoring.
Highlights
In modern society, many people keep pets to accompany them
The system has set aquarium environment thresholds, and it processes the signals obtained by the sensors to control and optimize the outputs to loads using data fusion calculations so that the aquarium has the most comfortable environment for the fish
We propose to integrate deep learning into the BP data fusion algorithm; that is, the number of hidden layers is set to P, and the BPNN is replaced by a deep learning model based on stacked auto encoders
Summary
Many people keep pets to accompany them. in contrast to large pets such as cats and dogs, which need to spend time outdoors, pet fish only need to be fed each day and periodically have their water changed. Wi-Fi was used in conjunction with a cloud-computing platform, Cloud Sandbox With this system, users can record and observe changes in the aquarium environment at any time, and a web-based system can be used to display the data in various forms such as charts and line graphs. A remote monitoring system for the aquarium environment was constructed using IoT technologies This system uses a MediaTek LinkIt 7697 as the main control development platform, and its. There are relays to control a heating rod, an LED light bar, two pumps for the water level, and a servo motor for the feeder These controllers will adjust their parameters according to the best living environment for the fish and achieve the most stable and comfortable state. This information is continuously stored in a computer database, allowing users to track and record the growth of their fish [6]
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