Research on marine environmental monitoring system based on the Internet of Things technology

Author(s):  
Yang Zixuan ◽  
Wang Zhifang ◽  
Liu Chang
2011 ◽  
Vol 121-126 ◽  
pp. 2624-2629 ◽  
Author(s):  
Shao Ling Li ◽  
Yu Han ◽  
Ge Li ◽  
Man Zhang ◽  
Lei Zhang ◽  
...  

During agricultural production, some information (such as temperature,humidty,wind, rainfall and PH of soil) is obtained by manual measurement method,which exists many problems,for example time-consuming, laborious problem.In this paper, the agricultural greenhouse environmental monitoring system is designed based on the Internet of Things,which realized remote realtime monitoring of the environmental information in greenhouse,combining with the Internet,wireless network and mobile network.A wireless sensor network is established for collecting environmental information such as temperature and humidity by using ZigBee protocol.Finally,the collected environmental information is accessed into the internet and mobile network through the control center .The monitoring system can realize the short message warming and real-time monitoring of agriculture enviromental information.


2013 ◽  
Vol 448-453 ◽  
pp. 332-336
Author(s):  
Ding Guo Jiang ◽  
Dan Feng Wu

The Three Gorge Project (TGP) is one of the largest hydraulic projects in the world, because of its super-huge style and complex function, the TGP exerts far-reaching and profound impacts. As while as beneficial effects, the TGP also brings bad influences. The main negative environmental influences of TGP are the impacts on the aquatic life, the estuary, the water blooms, the greenhouse gases and the relationships between the lakes and the Yangtze River. As the TGP has distinct features of temporal and spatial variation, it is important to monitoring the influences water resources in timely. In order to give the negative influence effective control, This paper mainly introduces eco-environmental monitoring system based on the Internet of Things (IoT). The system watches and grasps the change of the eco-environmental factors affected by TGP, especially those major environmental factors and seriously affected areas. It provides scientific basis for the ecological impacts caused by the TGP. The Three Gorges monitoring system based on the IoT is of great significance.


2018 ◽  
Vol 14 (06) ◽  
pp. 165
Author(s):  
Xiaobing Hou

<p class="0abstract"><span lang="EN-US">T</span><span lang="EN-US">o improve the monitoring system of rock and soil engineering slope, based on the technology of Internet of things, the monitoring of rock and soil slope </span><span lang="EN-US">wa</span><span lang="EN-US">s studied. A multi parameter remote monitoring system based on the technology of Internet of things </span><span lang="EN-US">wa</span><span lang="EN-US">s proposed.</span><span lang="EN-US">By combining GPS locator with several sensor instruments, many parameters, such as ground displacement, deep displacement, groundwater level, stress and strain, </span><span lang="EN-US">we</span><span lang="EN-US">re collected.</span><span lang="EN-US">Through the Internet of things technology, the key data </span><span lang="EN-US">we</span><span lang="EN-US">re transmitted to the monitoring room. The wireless transmission of the monitoring data </span><span lang="EN-US">wa</span><span lang="EN-US">s completed. Using information fusion technology, database management and Web service, the monitoring data </span><span lang="EN-US">we</span><span lang="EN-US">re classified and managed.</span><span lang="EN-US">Through the data analysis, the reliability theory </span><span lang="EN-US">wa</span><span lang="EN-US">s used to predict the slope. Finally, the rock and soil engineering slope monitoring based on the Internet of things </span><span lang="EN-US">wa</span><span lang="EN-US">s verified.</span><span lang="EN-US">The results show</span><span lang="EN-US">ed</span><span lang="EN-US"> that the stability of the slope </span><span lang="EN-US">wa</span><span lang="EN-US">s influenced by many factors. At the same time, the effectiveness and accuracy of monitoring data </span><span lang="EN-US">we</span><span lang="EN-US">re important for slope prediction. T</span><span lang="EN-US">o sum up, t</span><span lang="EN-US">he reliability theory is more suitable for the stability analysis of the local slope and the section.</span></p>


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shunzhi Fan

In order to improve the stability of the electrical control system, based on the Internet of Things technology, this paper constructs an online monitoring system for electrical control based on the Internet of Things. Based on actual needs, communication requirements, and common communication methods in the remote monitoring system, this paper combines the requirements of actual remote communication to conduct a detailed comparative analysis of the principles, performance characteristics, reliability, cost, maintenance, and other aspects of various communication methods, proposes a plan that can meet the communication requirements of the system, and completes the design of the wireless linear link communication network. In addition, according to the three-tier architecture of the Internet of Things, this paper comprehensively uses the technologies related to the Internet of Things to design and develop the perception layer, transmission layer, and application layer. Finally, this paper designs experiments to test the performance of the system constructed in this paper. The research results show that the online monitoring system based on the Internet of Things constructed in this paper meets the needs of intelligent monitoring of the electrical control system.


2017 ◽  
Vol 13 (09) ◽  
pp. 123 ◽  
Author(s):  
Kehua Xian

<p><span style="font-family: 宋体; font-size: medium;">In order to develop a new convenient online monitoring system for Internet of things, an online monitoring system based on cloud computing is designed. The performance of this new Internet of things technology used in modern agricultural is test by Amazon relational database service (RDS) and ZigBee perception network. By analyzing the Internet of things related technologies and agricultural modernization, the integration framework of the Internet of things, cloud computing and data mining technology in the field of modern agriculture are proposed. Through the modern agricultural Internet of things monitoring system, the Internet of things intelligent gateway, cloud based research and construction of large data analysis and data mining projects are verified. The experimental results show that the relevant parameters of the model are obtained by training about 70% of the original data after adopting the cloud computing. Based on the above finding, it is concluded that the open Internet of things platform needs to be supported by the powerful computing resources. In addition, the cloud computing technology is suitable for the development of the Internet of things service platform.</span></p>


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