Applications of Intelligent Environmental IoT Detection Tools in Environmental Education of College Students

Abstract

A set of intelligent environmental IoT detection tools that apply the Internet of Things to environmental education, including "auxiliary tools for environmental IoT detection" and "environmental analysis system combined with artificial intelligence technology" is proposed in this study. Through various environment detectors at the underlying layer of the Internet of Things, the auxiliary tools for environmental IoT detection collect the data which need to be observed and introduce this set of tools into the living environment of college students. The environmental analysis system combined with artificial intelligence technology analyzes the data collected by the former and draws a visual chart, so that students can stay on top of the environmental change trend at each time point more clearly. Furthermore, by combining machine learning technology with artificial intelligence, this set of tools analyzes the collected data and makes predictions. When a poor environmental condition in the future is predicted, students will be informed of the causes and consequences to understand the connection between human beings and the environment.