Design of Sample Preparation Preconcentration System Based on LabVIEW

2014 ◽  
Vol 955-959 ◽  
pp. 1074-1077
Author(s):  
Tie Zheng Wang ◽  
Chang Jian Li ◽  
Fei Fei Zhang ◽  
Wei Fang Li
Keyword(s):  
Real Time ◽  
Sample Pretreatment ◽  
Drive Mode ◽  
Labview Software ◽  
Control Instrument ◽  
Data Acquisition Card ◽  
Machine Interface ◽  
Pre Treatment ◽  
Control Of Parameters ◽  
And Control

It is of great significance for the measurement of low concentration of VOCs that the sample pretreatment preconcentration system. We design a gas sample pre-treatment preconcentration system based on LabVIEW. It’s in this system, of whose PC uses LabVIEW software and of whose following part adopts data acquisition card USB4711A; intelligent temperature control instrument FB400 of RKC and mass flow controller of burkert (MFC8711). The standardized drive mode of OPC and DataSocket of LabVIEW realize the PC real-time communication with lower computer .This system has a good man-machine interface and it is a reliable control system. This system can realize the real-time display and control of parameters such as temperature, flow, and also realize the running condition of all equipments control and alarm function.

Design on Monitored Control System of Vessel Dynamic Cyclone Oily Water Separator

2012 ◽  
Vol 614-615 ◽  
pp. 608-612
Author(s):  
Wei Ren ◽  
Qiang Ma ◽  
Jing Lv
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
Real Time ◽  
Working Conditions ◽  
Labview Software ◽  
Water Separator ◽  
Data Acquisition Card ◽  
Oily Water ◽  
Design Idea ◽  
Monitored Control System

The design idea of monitored control subsystem of vessel dynamic cyclone oily water separator is based on LabVIEW software platform, adopted DataSocket technology, by using DAQcard-A-16E-4E data acquisition card to realize real-time monitoring. This paper introduced the components of the monitored control system, analyzed its working conditions. According to the experimental operating records on some real ships, the application results and characteristics are summarized.

Real-time man-machine interface and control using deliberate eye blink

2015 ◽  
Vol 18 (4) ◽  
pp. 370 ◽  
Author(s):  
Dipali Bansal ◽  
Rashima Mahajan ◽  
Sujit Roy ◽  
Dheeraj Rathee ◽  
Shweta Singh
Keyword(s):  
Real Time ◽  
Eye Blink ◽  
Machine Interface ◽  
Man Machine Interface ◽  
And Control

A Novel Automated Balancing and Correcting Machine

2011 ◽  
Vol 383-390 ◽  
pp. 1285-1289
Author(s):  
Zhi Yuan Zhang ◽  
Ju Li Li
Keyword(s):  
Control System ◽  
Real Time ◽  
Industrial Development ◽  
Integration Method ◽  
Fast Response ◽  
Ac Servo ◽  
Data Acquisition Card ◽  
Measurement Principle ◽  
Time Correction ◽  
And Control

A novel automated balancing and correcting machine is proposed and studied. Its structure, composition and control system are introduced. A data acquisition card with USB2.0 interface is used to obtain the real-time unbalanced signal. The rotor unbalance and the mass need to be removed are calculated according to the unbalanced measurement principle. The feed which is needed to complete the correction is deduced by integration method on the basis unbalance measurement and correction principle. The AC servo motors with high precision and fast response are used to drive the rotor to achieve fast and accurate unbalance measurement and correction. A prototype according to the principle is manufactured to test the thinking. Experiments proved that the unbalance reducing rate at one time correction more than 95%. It is necessary to further industrial development.

Multi-Channel Data Acquisition and Control System Based on LabVIEW

2011 ◽  
Vol 71-78 ◽  
pp. 2303-2308
Author(s):  
Dao De Zhang ◽  
Cheng Xu ◽  
Qiang Wang ◽  
Yu Rong Pan
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
Real Time ◽  
Modular Design ◽  
Stable Condition ◽  
Time Signals ◽  
Data Acquisition Card ◽  
Self Tuning ◽  
And Control ◽  
Time Acquisition

The system is a data acquisition and control system used for multi-channel. It is based on the integration of LabVIEW, PCI data acquisition card and intelligent self-tuning PID. Aiming at the ART’s data acquisition card, the paper introduces on the allocation of LabVIEW and Non-NI data acquisition card. The modular design is adopted to realize real-time acquisition, processing, display, save and error messages for multi-channel signals. Utilizing exported standard signals and real-time signals via data acquisition card, we have controlled furnace temperature by intelligent self-tuning PID and made its range in certain variation change according to standard time temperature curve. And the practical application shows that the system works in the stable condition.

Study and Design of the Control System for Crop Growth Cabinet

2015 ◽  
Vol 740 ◽  
pp. 511-514
Author(s):  
Yan Yan Tian ◽  
Yang Yang Xu ◽  
Shang Hong Yu
Keyword(s):  
Operating System ◽  
Control System ◽  
Real Time ◽  
Environmental Parameters ◽  
Crop Growth ◽  
Ecological Environment ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Machine Interface ◽  
And Control

The crop growth cabinet control system mainly consists of color touch screen interface operating system and control system. They communicate with each other through the RS485 module. The control system’s control core is ATmega128L single chip microcomputer, and operating system interface uses Cortex_M3 as the kernel of 32-bit processor STM32F103VC, and adopts μC/GUI to write human-machine interface which real-time monitors crop growth environmental parameters in the cabinet, and by setting various parameters to simulate the plant a variety of ecological environment.

Microstructural investigation of surface roughness in MBE-grown AlAs

1995 ◽  
Vol 53 ◽  
pp. 454-455
Author(s):  
R. Rajesh ◽  
R. Droopad ◽  
C. H. Kuo ◽  
R. W. Carpenter ◽  
G. N. Maracas
Keyword(s):  
Thin Film ◽  
Real Time ◽  
Growth Control ◽  
Native Oxide ◽  
Effusion Cell ◽  
Surface Oxide Layer ◽  
Microstructural Investigation ◽  
Mbe Growth ◽  
Film Substrate ◽  
And Control

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

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