Study on Facilities Agriculture Remote Monitor and Control System Based on Tri-Networks Convergence

2014 ◽  
Vol 1073-1076 ◽  
pp. 1875-1878
Author(s):  
Li Juan Shi ◽  
Xiu Xia Yu ◽  
Jian Zhao ◽  
Qin Sheng Du
Keyword(s):  
Radio Frequency ◽  
Real Time ◽  
Internet Technology ◽  
The Internet ◽  
Monitoring And Control ◽  
Remote Transmission ◽  
Control Information ◽  
3G Network ◽  
Remote Controller ◽  
And Control

Facility agriculture environment monitoring system of the existing main adopts the wired communication technology, such as serial bus technology and field bus technology for communication. This system has the advantages of good interoperability, strong anti-interference ability, but the poor stability, low reliability, difficult to deploy, installation and maintenance costs high, which greatly limits its application in the design of facilities agriculture field. Three nets fusion refers to the 3G, RFID and Internet combination. In this paper, the 3G network, wireless radio frequency technology and Internet technology combining, in order to solve the above problems, the use of 3G network and the Internet to a large amount of data real-time remote transmission, using radio frequency network RFID technology through the short distance wireless data transmission terminal sensors to collect information, these information in time through the3G network and the Internet are transmitted to the the remote controller. The remote controller sends according to terminal sensor control information, through the 3G network and the Internet will control information is transmitted to the radio frequency network, wireless RF network through wireless communication control information is transmitted to the terminal controller, the final completion of the remote monitoring and control of agricultural facilities. The experimental results show that, the system can meet the real-time and can perform remote transmission for large data, provide the technical basis of visual audio data monitoring information transmission for agricultural facilities.

scholarly journals MIOT Framework, General Purpose Internet of Things Gateway using Smartphone

2018 ◽  
Vol 14 (02) ◽  
pp. 6
Author(s):  
Toni Tegar Sahidi ◽  
Achmad Basuki ◽  
Herman Tolle
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Best Practice ◽  
General Purpose ◽  
Mobile Internet ◽  
The Internet ◽  
Remote Controller ◽  
Iot Devices ◽  
Main Component ◽  
And Control

<p class="western">Internet of things (IoT) is a complex system with few best practices in building ones, especially on handling real-time communication between IoT devices to the Internet. A framework is often used to fasten building IoT system. This paper present Mobile Internet of Things (MIOT), a framework which use a smartphone as the main component to handle communication between IoT device and the internet. A smartphone is used as the communication gateway (relay) for IoT devices and not as the IoT controller as in common Smartphone-IoT approach. For evaluation purpose, two implementations of IoT prototype scenario is built, an environmental monitoring and a remote controller (RC) car. The experiment shows a quick and easy deployment of IoT system. The Environment Monitoring able to send data to the server in real-time, and control The RC Car with a reasonable response time.</p><p><span>The experiment on 200 ms interval between each packet, shows that MIOT Framework has round-trip latency between MIOT Server and IoT hardware for ≈ 88.007 ms. The addition of smartphone as the main component in the framework (MIOT Apps) contribute to additional latency ≈ 13.145 ms. </span></p><p><span>Using a Smartphone as a gateway for IoT in MIOT Framework is possible and promising. It can be used as a best practice to develop a reliable IoT system which reduces time, effort, and learning overhead on building IoT systems.</span></p>

scholarly journals ANALISIS KINERJA INTERNET OF THINGS BERBASIS FIREBASE REAL-TIME DATABASE

2019 ◽  
Vol 2 (1) ◽  
pp. 6-17
Author(s):  
I Nyoman Buda Hartawan ◽  
I Wayan Sudiarsa
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Electronic Devices ◽  
Local Area ◽  
The Internet ◽  
Monitoring And Control ◽  
Average Delay ◽  
3G Networks ◽  
4G Networks ◽  
And Control

Internet of Things (IoT) technology makes it possible to monitor and control environmental conditions and electronic devices remotely via the internet. To be used as a monitoring and control tool, the IoT must be able to be operated in realtime. IoT must be able to provide information about an environmental condition and control electronic devices in real time. In this study a remote lighting control system was built using Firebase as a database that is able to turn on/off lights in realtime. The system is built using NodeMCU ESP8266 and android applications so that it is easier to implement on smartphones. The purpose of this study is to perform a performance analysis of firebase as a database that is able to update data in real time via the internet. Testing is done using various types of network connections such as 3G networks, 4G networks, and Local Area Networks (LANs). The test results show that Firebase supports the application of IoT that is capable of updating data in realtime, but the type of network connection used provides a varied delay effect. The average delay generated on 3G networks, 4G networks and LANs is 3.57 seconds, 1.42 seconds and 1.4 seconds.

scholarly journals Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Bhargav Appasani ◽  
Amitkumar Vidyakant Jha ◽  
Sunil Kumar Mishra ◽  
Abu Nasar Ghazali
Keyword(s):  
Real Time ◽  
Situational Awareness ◽  
Area Measurement ◽  
Measurement Unit ◽  
Monitoring And Control ◽  
Communication Infrastructure ◽  
Wide Area Measurement System ◽  
Digital Elevation ◽  
Elevation Model ◽  
And Control

AbstractReal time monitoring and control of a modern power system has achieved significant development since the incorporation of the phasor measurement unit (PMU). Due to the time-synchronized capabilities, PMU has increased the situational awareness (SA) in a wide area measurement system (WAMS). Operator SA depends on the data pertaining to the real-time health of the grid. This is measured by PMUs and is accessible for data analytics at the data monitoring station referred to as the phasor data concentrator (PDC). Availability of the communication system and communication delay are two of the decisive factors governing the operator SA. This paper presents a pragmatic metric to assess the operator SA and ensure optimal locations for the placement of PMUs, PDC, and the underlying communication infrastructure to increase the efficacy of operator SA. The uses of digital elevation model (DEM) data of the surface topography to determine the optimal locations for the placement of the PMU, and the microwave technology for communicating synchrophasor data is another important contribution carried out in this paper. The practical power grid system of Bihar in India is considered as a case study, and extensive simulation results and analysis are presented for validating the proposed methodology.

Robotics Application in Remote Data Acquisition and Control for Solar Ponds

2012 ◽  
Vol 253-255 ◽  
pp. 705-715 ◽  
Author(s):  
Mohamed Elbanhawi ◽  
Milan Simic
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Energy Production ◽  
Green Energy ◽  
Industrial Robots ◽  
Sampling Station ◽  
Monitoring And Control ◽  
Solar Ponds ◽  
And Control ◽  
Remote Data

This paper presents one application of industrial robots in the automation of renewable energy production. The robot supports remote performance monitoring and maintenance of salinity gradient solar ponds. The details of the design, setup and the use of the robot sampling station and the remote Data Acquisition (DAQ) system are given here. The use of a robot arm, to position equipment and sensors, provides accurate and reliable real time data needed for autonomous monitoring and control of this type of green energy production. Robot upgrade of solar ponds can be easily integrated with existing systems. Data logged by the proposed system can be remotely accessed, plotted and analysed. Thus the simultaneous and remote monitoring of a large scale network of ponds can be easily implemented. This provides a fully automated solution to the monitoring and control of green energy production operations, which can be used to provide heat and electricity to buildings. Remote real time monitoring will facilitate the setup and operations of several solar ponds around cities.

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