Research and design of environmental monitoring and road lighting system based on the Internet of things

Author(s):  
Yang Xu ◽  
Shuai Liu ◽  
Ying Peng
2012 ◽  
Vol 198-199 ◽  
pp. 1755-1760 ◽  
Author(s):  
Guo Ping Zhou ◽  
Ya Nan Chen

Applying the Internet of Things (IOT) into ecological environmental monitoring is the goal of this paper. There are several advantages of the Internet of Things (IOT) applying in ecological environment monitoring. A hierarchical monitoring system is presented, including system architecture, hardware/software design, information flow and software implementation. In the end, using carbon dioxide gas in the atmosphere for experimental purposes, in data collection and analysis. Experiments showed that this system is capable of monitoring ecologica environment, which orientate the future research of forest ecosystem.


Author(s):  
R. Habibi ◽  
A. A. Alesheikh

Thanks to the recent advances of miniaturization and the falling costs for sensors and also communication technologies, Internet specially, the number of internet-connected things growth tremendously. Moreover, geosensors with capability of generating high spatial and temporal resolution data, measuring a vast diversity of environmental data and automated operations provide powerful abilities to environmental monitoring tasks. Geosensor nodes are intuitively heterogeneous in terms of the hardware capabilities and communication protocols to take part in the Internet of Things scenarios. Therefore, ensuring interoperability is an important step. With this respect, the focus of this paper is particularly on incorporation of geosensor networks into Internet of things through an architecture for monitoring real-time environmental data with use of OGC Sensor Web Enablement standards. This approach and its applicability is discussed in the context of an air pollution monitoring scenario.


2014 ◽  
Vol 889-890 ◽  
pp. 671-675 ◽  
Author(s):  
Jun Jin Yang ◽  
Cheng Hua Fu ◽  
Zi Qi Dong

This paper presents a remote security system based on the Internet of things. The system uses S3C2440 as the control core, Linux operating system as the software platform, combined with remote security system construction of GPRS communication technology. The system introduces V4L2 camera video capture process based on Linux operating system, the GPRS module alarm information sending and receiving process, and the project of Android platform video monitoring software. At last, experiments show the system can monitor designated area. When meeting a critical situation,it will automatically alarm. It is of far-reaching significance.


2012 ◽  
Vol 263-266 ◽  
pp. 2834-2837
Author(s):  
Lei Sang ◽  
Duo Long

The Internet of things covers many aspects such as the electronic tag reader research, the Internet of things software research and the e-commerce research, etc. The SAVANT middleware is one of the key issues of the study. Based on electronic product code, radio frequency identification technology and system description middleware technology, this paper focuses on research and design of the Internet of things middleware system to solve the problem of data acquisition.


Author(s):  
Saad Hikmat Haji ◽  
Amira B. Sallow

Air pollution, water pollution, and radiation pollution are significant environmental factors that need to be addressed. Proper monitoring is crucial with the goal that by preserving a healthy society, the planet can achieve sustainable development. With advancements in the internet of things (IoT) and the improvement of modern sensors, environmental monitoring has evolved into a smart environment monitoring (SEM) system in recent years. This article aims to have a critical overview of significant contributions and SEM research, which include monitoring the quality of air , water pollution, radiation pollution, and agricultural systems. The review is divided based on the objectives of applying SEM methods, analyzing each objective about the sensors used, machine learning, and classification methods. Moreover, the authors have thoroughly examined how advancements in sensor technology, the Internet of Things, and machine learning methods have made environmental monitoring into a truly smart monitoring system.


2020 ◽  
Vol 170 ◽  
pp. 105257 ◽  
Author(s):  
Wariston Fernando Pereira ◽  
Leonardo da Silva Fonseca ◽  
Fernando Ferrari Putti ◽  
Bruno César Góes ◽  
Luciana de Paula Naves

Sign in / Sign up

Export Citation Format

Share Document