scholarly journals LabView and Connections with Third-Party Hardware

2021 ◽  
Author(s):  
Giuseppe Porzio

Data acquisition is a function that plays a fundamental role in the automatic supervision and system control, it combine the system (software and hardware) to the process to be controlled (real world). The field of application starts from research to automation, from industry to home automation, in practice everything that in some way must be performed without human supervision. Data acquisition systems are mainly used to measure physical phenomena such as: temperature, voltage, current, distance and pressure, shock and vibration, and displacement, RPM, angle and discrete events, weight. In order to measure it we need a DAQ, Data AcQuisition System, in this chapter we propose to use a cheap open source hardware: Arduino.

Author(s):  
Nicholas Goodman ◽  
Brian J Leege ◽  
Peter E Johnson

Exposing students to hands-on experiments has been a common approach to illustrating complex physical phenomena that have been otherwise modelled solely mathematically. Compressible, isentropic flow in a duct is an example of such a phenomenon, and it is often demonstrated via a de Laval nozzle experiment. We have improved an existing converging/diverging nozzle experiment so that students can modify the location of the normal shock that develops in the diverging portion to better understand the relationship between the shock and the pressure. We have also improved the data acquisition system for this experiment and explained how visualisation of the standing shock is now possible. The results of the updated system demonstrate that the accuracy of the isentropic flow characteristics has not been lost. Through pre- and post-laboratory quizzes, we show the impact on student learning as well.


Author(s):  
Arvid Ramdeane ◽  
Lloyd Lynch

The University of the West Indies Seismic Research Centre, Trinidad and Tobago, operates a network of over 50 stations for earthquake and volcanic monitoring in the Eastern Caribbean islands. These stations form a seismic network consisting of various types of instrumentation, and communication systems. Over a period of 11 years, the Centre has embarked on an initiative of upgrading and expanding the current network with combinations of broadband and/or strong motion sensors, high dynamic range digitizers and networking equipment to link each station to centralized observatories via high speed digital data transmission medium. To realize such an upgrade and expansion, the Centre has developed a seismic data acquisition system prototype built using open-source hardware and software tools. The prototype is intended to be low-cost using off the shelf hardware components and open-source seismic related software handling data acquisition and data processing in two separate modules. The prototype uses a three-channel accelerometer sensor and can process data into standard MiniSEED format for easy data archiving and seismic data analysis. A global position module provides network time protocol time synchronization within 1 millisecond for accurate timestamping of data. Data can be stored locally on the prototype in twenty-minute data files or securely transferred to a central location via internet with the use of virtual private network capabilities. The prototype is modular in design allowing for components to be replaced easily and the system software can be updated remotely thus reducing maintenance cost.


1985 ◽  
Vol 32 (4) ◽  
pp. 1405-1408 ◽  
Author(s):  
L. C. Welch ◽  
R. T. Daly ◽  
D. Loucks ◽  
T. H. Moog ◽  
J. Stewart

2016 ◽  
Vol 693 ◽  
pp. 1758-1764 ◽  
Author(s):  
Meng Ying Liu ◽  
Jian Jun Sun ◽  
Wei Zhao ◽  
Ting Ting Zhang ◽  
Zhi Wei Liu

An apparatus is developed in this paper, which surveys the motion law of the CAM follower. The apparatus is comprised of the frame body, motors, transmission system, execution system, control system and data acquisition system. The displacement curve, speed curve and acceleration curve of CAM are drawn by analyzing the signal from the dial indicators. This apparatus can provide technical data for the mechanical principle course as well as scientific research work.


2010 ◽  
Vol 219 (2) ◽  
pp. 022011 ◽  
Author(s):  
G Bauer ◽  
U Behrens ◽  
K Biery ◽  
J Branson ◽  
E Cano ◽  
...  

2020 ◽  
Author(s):  
Michael Laporte ◽  
Michael Perlin ◽  
Ben Tatham ◽  
Mojtaba Hosseini ◽  
Dario Baturan ◽  
...  

<p>A fundamental element of real-time mission critical seismic monitoring networks is the data acquisition system, comprising the underlying protocol and the telemetry solution. Selection of the acquisition protocol can have significant impact on the outcomes sought by the seismic network such as data availability and usability as well as operational cost and even station and data center design.</p><p>We examine the performance of various acquisition protocols using a set of standard measures of system performance. Primary measures include bandwidth utilization, data latency and robustness (data completeness). In addition, protocol functionality and features, including support for multiple data types and state-of-health, are assessed for system impact on options for station, telemetry, and data center design as well as the overall functionality of the system solution.</p><p>Real-world and system generated data are employed and key quantitative measures of system effectiveness are identified and used as the basis of the analysis. Results of the analysis show the real-world impact of low level aspects like protocol selection on system performance.</p>


Sign in / Sign up

Export Citation Format

Share Document