scholarly journals Real-time Corresponding and Safety System to Monitor Home Appliances based on the Internet of Things Technology

Author(s):  
Nalinsak Gnotthivongsa ◽  
◽  
Huangdongjun ◽  
Khamla Non Alinsavath
Author(s):  
Riklan Kango ◽  
Suhaedi Suhaedi ◽  
Fadli Awal Hasanuddin

This research aims to design an electric panel monitoring system using the Internet of Things technology in company buildings so that consumers can monitor real-time electricity consumption. The energy consumption monitoring method that we propose uses PM2100 by implementing a real-time monitoring function of the power consumption of a 3-phase electric panel. The monitoring system implementation results show that the value is very close to measuring the digital multimeter measuring instrument. The monitoring system produces a current measurement accuracy of 97.38% with an error of 2.62%, while the 3-phase voltage measurement error is 0.616%. This system design helps companies obtain information faster to be considered data to improve efficiency in the Company.


2021 ◽  
Vol 10 (1) ◽  
pp. 50
Author(s):  
Tao Li ◽  
Gangfeng Wang ◽  
Yunxi Zhang

In recent years, an intelligent vibratory roller with adjustable mode has become the leading direction for the development of compaction equipment that can obtain the state of the pressed material during the compaction operation and then control the working parameters and the excitation mode of the whole machine according to the condition of the pressed material. The intelligent vibratory roller can better meet today’s requirements for compaction. This paper proposes a compaction operation monitoring system for an intelligent vibratory roller based on the Internet of Things. Firstly, a hardware system for real-time compaction operation monitoring was established, including the selection of a sensor module and signal conditioning module. Secondly, a method for real-time compaction monitoring data evaluation and analysis of compaction was proposed and a detailed analysis process of the compaction data was designed. Finally, the compaction operation monitoring prototype system based on the Internet of Things technology was designed and constructed.


2014 ◽  
Vol 686 ◽  
pp. 272-276 ◽  
Author(s):  
Ru Bo Lan

The Internet of things technology plays a very important role in coal mine monitoring work. To achieve convergence ground technical management personnel and coal mine production in the extensive application of the Internet of things technology, it can effectively improve the monitoring capacity of all aspects of the coal mine, the monitoring content and low false zero false negative. To ensure the safe and efficient production of the coal mine enterprises, this paper will make discussion and research from the network technology in the local temperature mine tunnel real-time acquisition and control technology.


2013 ◽  
Vol 705 ◽  
pp. 584-589
Author(s):  
Liang Chen ◽  
Yang Wang ◽  
Shi Wang Yang ◽  
Xue Ping Gu ◽  
Yan Xu

A real-time interactive smart energy system is designed based on the internet of things and cloud computing, which is composed of Smart Meters, Smart Terminals, Smart Power Plugs and Cloud computing service system. Combining with Smart Gird property and the internet of things technology, the smart energy system provides the full range interaction of Power companies-Internet of things equipments-cooperation between the equipments. Meanwhile, the offline decision mode is supported by the expert system and the online decision mode is provided by the Cloud computing service system, making it both reliable and real-time in transaction processing. Eventually, the smart energy system can achieve real-time visualization, diversified interaction, smart interaction and scientific decision-making.


2021 ◽  
Vol 27 (spe) ◽  
pp. 28-30
Author(s):  
Tao Ding ◽  
Jingtao Li ◽  
Jiqiang Pan ◽  
Dong Guo

ABSTRACT In the environment of rapid social and economic development, the reform of medical informatization is constantly advancing, and the residents pay more and more attention to their own health status while improving their living standards. The traditional medical service system has some disadvantages in providing real-time, cross regional, long-term and easy-to-operate health services, which has become increasingly inadequate to meet the health needs of users. In order to solve the problem of difficulty in seeing a doctor caused by limited medical resources, and to carry out real-time health monitoring for a large number of groups suffering from chronic diseases and sub-health groups, this study conducted in-depth analysis and experimental exploration on the human remote mobile medical information collection method based on the Internet of things and intelligent algorithm. It established the information collection section by using KbaC clustering algorithm based on ant colony point system which, combined with a comparative study on the health indicators of related groups, has successfully proved that the Internet of things technology and intelligent algorithm for medical information collection and follow-up medical services are of certain positive significance, based on the Internet of things and other related technologies of human remote medical information collection system that can accurately and timely detect the patient's blood pressure, blood sugar and other health data, and then provide corresponding medical services.


2018 ◽  
Vol 5 (6) ◽  
pp. 745 ◽  
Author(s):  
Erfan Rohadi ◽  
Dodik Widya Adhitama ◽  
Ekojono Ekojono ◽  
Rudy Ariyanto ◽  
Rosa Andrie Asmara ◽  
...  

<p><strong>Abstrak</strong><em><br /></em></p><p><em>Internet of Things</em> merupakan perkembangan teknologi berbasis internet masa kini yang memiliki konsep untuk memperluas manfaat yang benda yang tersambung dengan koneksi internet secara terus menerus. Sebagai contoh benda elektronik, salah satunya adalah Raspberry Pi. Teknologi ini memiliki kemampuan memberikan informasi secara otomatis dan <em>real time</em>. Salah satu pemanfaatan perkembangan teknologi ini di bidang perikanan adalah sistem pemantauan air kolam. Pada prakteknya, para pembudidaya ikan lele masih melakukan pemantauan tersebut secara konvensional yaitu dengan cara mendatangi kolam ikan. Hal ini berpengaruh terhadap efisiensi waktu dan keefektifan kerja pembudidayaan ikan.<strong></strong></p><p>Pada penelitian ini dikembangkan alat yang berfungsi untuk membantu memantau dan mengontrol kualitas air kolam ikan lele berbasis <em>Internet of Things</em>. Piranti yang diperlukan adalah sensor keasaman (pH), sensor suhu dan sebuah relay untuk mengatur aerator oksigen air. Data dari sensor-sensor tersebut direkam oleh Raspberry Pi untuk kemudian diolah menjadi informasi sesuai kebutuhan pengguna melalui perantara internet secara otomatis. Selanjutnya data-data tersebut dapat ditampilkan dengan berbagai macam platform, salah satunya dengan model <em>mobile web</em>.  <strong></strong></p><p>Hasil uji menunjukan bahwa pengembangan teknologi <em>Internet of Things</em>  pada sistem ini dapat membantu pembudidaya untuk melakukan pemantauan terhadap kualitas air secara otomatis. Sistem otomasi yang dikembangkan menjanjikan peningkatan keberhasilan dalam pembudidayaan ikan lele.</p><p> </p><p><em><strong>Abstract</strong></em></p><p><em>For recent years, the Internet of Things becomes the topic interest of improvement based on technologies that have the concept of extending the benefits of an object that is connected to an internet constantly. This technology has the ability to provide information automatically and real time. One of expansion in the field of fishery is the water ponds monitoring system. In the fact, the catfish farmers are still doing conventional monitoring by coming to the fish pond. This could affects the efficiency of time and effectiveness of fish cultivation work.</em></p><p><em>In this research, the systems that can monitor and control the quality of catfish water ponds based on the Internet of Things is proposed. The necessary tools are acidity sensor (pH), temperature sensor and a relay to adjust water oxygen aerator. The data sensors have been recorded by Raspberry Pi that processed into information according to user needs through internet automatically. Furthermore, these data have been displayed with a variety of platforms, one with a mobile web model.</em></p><p><em>The results shows that the system based on Internet of Things technology can monitor the water quality automatically. The automation system promises the productivity of catfish farming.</em></p>


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