Design and Implementation of Smart Home System Based on OneNet Cloud Platform

Tao, Tao; Ren, Lei; Funan, Zhang; Wang, Hui; Wang, Xiaolin

doi:10.1109/icce-tw52618.2021.9602944

Cited by 2 publications

(1 citation statement)

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“…The mobile phone can receive and send corresponding commands through wifi connection to the wifi provided by ESP8266. The preset command parameters are passed into the module through connecting ESP8266's wifi and then communicating with the single chip microcomputer through the serial port connection between ESP8266 and single chip microcomputer to transmit the data to the single chip microcomputer and execute the corresponding instructions [8].…”

Section: Communication Modulementioning

confidence: 99%

Design and Research of Multi-point Water Quality Monitoring System Based on Internet of Things

Jia,

Zhang

2024

E3S Web Conf.

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With the increasing demand for water quality monitoring and the increasing severity of water pollution, the water environmental quality in China faces a worrying situation, and water body monitoring has become an extremely important task. Now more than ever, new strategies for water quality monitoring are needed, and the rapid development of wireless monitoring technology perfectly meets people’s pursuit of low-cost, automated and real-time water quality monitoring. However, there are still problems such as few monitoring points cannot reflect the overall situation of water bodies, high artificial costs, and time-consuming analysis. This paper designs and implements a new water monitoring platform built on an Internet of Things platform. Taking water quality monitoring sensors as the core and small boats as the basic framework, it carries control, positioning, navigation equipment, uses wireless network as the data transmission means, monitors multi-point cruising sampling in different areas, realizes real-time collection, data storage and data analysis to complete related environmental monitoring. The multi-point online water quality monitoring system comprehensively applies sensor technology, Internet of Things technology and cloud computing technology to form an integrated online monitoring system. It aims to solve the problems of harsh working environment, strong repetitiveness and long sampling time of water quality monitoring tasks, and achieve fast, efficient and accurate completion of water quality monitoring tasks.

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Section: Communication Modulementioning

confidence: 99%