scholarly journals Advanced RISC Machine Based Data Acquisition Development and Control

Author(s):  
Ramani G ◽  
Menakambal S
Keyword(s):  
2016 ◽  
pp. 86-90
Author(s):  
Gerald Caspers ◽  
Klaus Nammert ◽  
Holger Fersterra ◽  
Hartmut Hafemann

Fluidised-bed steam dryers have been in use for industrial-scale drying of pressed beet pulp for more than 20 years. This highly energy-efficient process can be considered to be state of the art in the industry. Scientific laboratory and pilot-plant testing have provided the basis for a detailed description of the principles of fluidisation and drying in superheated water vapour. Advances in production data acquisition, in particular regarding the options for the real-time presentation and evaluation of high-resolution operating data (Industry 4.0), have opened up new potentials for optimisation of the drying process in fluidised-bed steam dryers. By analysing and interpreting sequences of events, or simultaneous events, it is now possible to analyse process behaviour in great depth. This allows malfunctions to be avoided by improved design or, assisted by suitable measuring and control systems, to be detected at an early stage. Failures can then be prevented altogether by initiating automated countermeasures. On the basis of more recent insights gained from the analysis of faults and disruptions using modern operating data acquisition, BMA’s fluidised-bed steam dryer (WVT) has been subjected to fundamental technological and technical improvements, so it now meets today’s demands for efficiency and reliability. Modifications include the product inlet, the distribution plate and several other parts, in addition to the known and patented PPS (Plug Protection System; EP 2457649 B1), and the patented rotary weir (EP 2146167 B1).


Author(s):  
Meer Shadman Shafkat Tanjim ◽  
Ashrafun Nushra Oishi ◽  
Ali Azam Sojib ◽  
Md. Bashir Ahmmad ◽  
Md. Shaiful Islam ◽  
...  

1998 ◽  
Vol 45 (4) ◽  
pp. 2057-2061 ◽  
Author(s):  
S. Altarac ◽  
M. Tallon ◽  
E. Thiebaut ◽  
R. Foy

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.


2008 ◽  
Vol 19 (9) ◽  
pp. 094012 ◽  
Author(s):  
B T Hjertaker ◽  
R Maad ◽  
E Schuster ◽  
O A Almås ◽  
G A Johansen

2021 ◽  
Vol 64 (5) ◽  
pp. 759-764
Author(s):  
S. Yu. Ksenofontov ◽  
A. V. Kupaev ◽  
T. V. Vasilenkova ◽  
D. A. Terpelov ◽  
P. A. Shilyagin ◽  
...  

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