scholarly journals Monitoring the Chloride Concentration in International Scheldt River Basin District Water Using a Low-Cost Multifunction Data Acquisition Board

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 1025
Author(s):  
Wanda Guedens ◽  
Monique Reynders ◽  
Koen Van Vinckenroye ◽  
Jan Yperman ◽  
Robert Carleer

In analytical chemistry laboratories, to gather in the shortest time as many data as possible with the utmost accuracy and precision, high throughput automated setups are indispensable. In the present study, to determine the chloride concentration in the international Scheldt river basin district, experiments are carried out utilizing a thermostatically controlled semi-automated setup. A novel ICT-based method is developed using a low-cost multifunction Data Acquisition Board (DAQ) controlled by a homebuilt LabVIEW™ program. Specifically, this approach enables a correlation between different parameters i.e., droplet volume, temperature, A/D voltage conversions. Here, processing experimental data of a potentiometric precipitation titration utilizing a silver nitrate standard solution as titrant in a manual burette equipped with a controllable electronic valve allows for a preliminary indication of the titration end point via the Virtual Instrument (VI) numerical first derivative tool in the LabVIEW software. The LabVIEW tool is compared with the well-known Gran method implemented in the LabVIEW program, emphasizing an accurate performance of the setup to determine the chloride concentration in fresh river water. We are confident that our findings are evidence of the versatile and powerful features of the LabVIEW controlled DAQ in the analytical chemistry laboratory.

2000 ◽  
Author(s):  
Francesco Fantozzi ◽  
Umberto Desideri

Abstract Small scale Internal Combustion Engines (ICE) powered Combined Heat and Power (CHP) plants are economically convenient when availability and efficiencies are above specified limits. Nevertheless these plants are often run without a monitoring device capable of data storing and trending and of performance evaluation. This paper describes the setting up of a powerful low-cost monitoring system for the CHP plant that powers the School of Engineering of the University of Perugia. Data acquisition is performed by interfacing a Personal Computer (PC) to existing control panels via, serial port, and to a data acquisition board for those variables that are not measured by existing devices. Performance indexes are then calculated via software. Alarms and controls are stored as well to set up a database for diagnostic purposes. The monitoring itself has already shown its troubleshooting capability in interface to maintenance personnel: history trending of variables speeds up the phase of failure identification because it eliminates those possibilities that are negated by cross referencing values of different variables.


2015 ◽  
Vol 742 ◽  
pp. 203-207
Author(s):  
Liang Han ◽  
Yan Song Li

Ethernet based on TCP/IP is a standard open network, which promotes the development of data acquisition in the direction of network. Data acquisition and processing systems connected by Ethernet make the data acquisition terminals (lower computer) and processing control center (upper computer) from integrated to discrete. Separate data acquisition terminals can realize miniaturization and modularization and increase the flexibility of the application. A new type, low cost, high precision data acquisition terminal based on ARM processor was designed for solving the problem of complicated structure, big volume and high cost of traditional data acquisition system. Combined with the technologies of network communication, a data acquisition PC system based on virtual instrument technology was designed by LabVIEW.


2014 ◽  
pp. 17-24
Author(s):  
O. Postolache ◽  
P. Girao ◽  
M. Pereira ◽  
Helena Ramos

This paper reports the implementation of a neural processing structure as a component of an intelligent measuring system that uses ion selective electrodes (ISEs) as sensing elements of heavy metal ions (Pb+2, Cd+2) concentration. The neural network (NN), designed and implemented to reduce errors due to ion interference and to pH and temperature variations, is of the multiple-input multiple-output Multilayer Percepton (MLP-NN) type. The NN is a component of a virtual instrument that includes a PC laptop, a PCMCI data acquisition board with associated conditioning circuits and the specific ISE sensors. A practical approach concerning the optimal neural processing solution (number of NN structures, number of neurons, neuron transfer functions) to increase the performance of low cost ISEs is presented. Results are presented to evaluate the performance of the NN intelligent ISE system and to discuss the possibility of transferring the acquisition and processing task to a low cost acquisition and control unit such as a microcontroller.


2014 ◽  
Vol 91 (11) ◽  
pp. 1958-1960 ◽  
Author(s):  
Edgar P. Moraes ◽  
Nilbert S. A. da Silva ◽  
Camilo de L. M. de Morais ◽  
Luiz S. das Neves ◽  
Kassio M. G. de Lima

2014 ◽  
Vol 584-586 ◽  
pp. 2023-2027
Author(s):  
Wei Sun ◽  
Ying Zhang ◽  
Shao Fei Jiang

A vibration signal acquisition system was designed based virtual instrument technology. The process and principle design of structure vibration signal acquisition system based on LabVIEW software and CompactRIO hardware were discussed in detail. Finally, system test was conducted by a three story steel frame structure. And the test results were compared with traditional instruments system. The experiment showed that the data acquisition system of structure vibration signal which based on CompactRIO is precise and reliable in measurement results, and can realize multi channel synchronous data acquisition, storage, and support the real-time online data filtering and spectrum analysis and so on.Compared with the traditional platforms, the system proposed in the paper has short development cycle, low cost, user-defined functions, rugged, portable and other advantages. It can be widely used in complex and special building environment, so it will have a broad application prospect in the field of SHM.


2018 ◽  
Author(s):  
Thomas Akam ◽  
Mark E. Walton

Fiber photometry is the process of recording bulk neural activity by measuring fluorescence changes in activity sensitive indicators (e.g. GCaMP) through an optical fiber. We present a system of open source hardware and software for fiber photometry data acquisition consisting of a compact, low cost, data acquisition board built around the Micropython microcontroller, and a cross platform graphical user interface (GUI) for controlling acquisition and visualising signals. The system can acquire two analog and two digital signals, and control two external LEDs via built in LED drivers. Time-division multiplexed illumination allows independent readout of fluorescence evoked by different excitation wavelengths from a single photoreceiver signal. Validation experiments indicate this approach offers better signal to noise for a given average excitation light intensity than sinusoidally-modulated illumination. pyPhotometry is substantially cheaper than commercial hardware filling the same role, and we anticipate, as an open source and comparatively simple tool, it will be easily adaptable and therefore of broad interest to a wide range of users.


2011 ◽  
Vol 63-64 ◽  
pp. 804-807
Author(s):  
Gao Hua Liao ◽  
De Hui Liu

A virtual instrument which has the function of data acquisition, displaying and saving, time domain analysis, frequency domain analysis and so on is developed successfully. It combines the developed VI software Labview with the software Star for modal analysis,and makes program for controlling the data acquisition card,to generate a file with a fixed data format,and applies this file in Star System to complete the experiment of modal analysis. In using VI (virtual instrument) for modal analysis of mechanical structure the system realizes data collection、save、display、analysis and processing. From actual working we can make a conclusion that it has the advantage of low-cost, stability, high rate, efficiency and reliability.


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