Remote data acquisition module using optic interface for industrial automation and control

Author(s):  
T. Ozkul ◽  
M. Guizani
2014 ◽  
Vol 8 (4) ◽  
pp. 598-610
Author(s):  
Ahmed O. Abdul Salam ◽  

Automation via the internet has recently received considerable attention. The prime objective of internetbased process automation underlies, amongmany others, the feasibility of remote monitoring and control of a wide range of distributed and collaborative experimental and manufacturing tools and machineries. Such emphasis would adopt the recent software and hardware development technologies. This paper investigates the minimal hardware and software requirements to design and implement a fully functional academic and industrial automation system that can be readily attached to the available internet/intranet infrastructure. Three tiers mainly constitute the proposed system, the instrumentation and measurement tier, the software platform (for data collection, processing, displaying, and communication), and the client-server tier. The common controllerbased techniques, such as PLC (Programmable Logic Controllers), SCADA (Supervisory Control and Data Acquisition), and DAQ (Data Acquisition) platforms can be very well employed in such applications without sophistication burdens. Eventually, the ultimate intentions of having engineers and technical operators to monitor, control, maintain, and calibrate factory equipment, or students involved in lab experimentation, from local or remote distances can be successfully achieved around the clock. Previous and current practical implementation examples will be verified to assess the feasibility range of existing techniques and their implications.


Author(s):  
Thomas Strasser ◽  
Martijn Rooker ◽  
Gerhard Ebenhofer ◽  
Alois Zoitl ◽  
Christoph Sunder ◽  
...  

2012 ◽  
Vol 253-255 ◽  
pp. 705-715 ◽  
Author(s):  
Mohamed Elbanhawi ◽  
Milan Simic

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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