Parallel A/D Successive Data Acquisition Module Driver Design Based on VXI A24/D16

2010 ◽  
Vol 44-47 ◽  
pp. 3254-3258
Author(s):  
Wang Chun Zhu ◽  
Hai Ying Gao ◽  
Zhi Li
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
System Performance ◽  
Continuous Data ◽  
Real Time Monitoring ◽  
Test Board ◽  
Long Time ◽  
Data Acquisition Module

In many testing and controlling fields, a long time and continuous data acquisition is in great need to realize real-time monitoring, playback and analysis after signal gathering. The implementation of successive data acquisition module is an important way for the increase of system performance in VXI testing systems. The method of a parallel A/D successive data acquisition module driver design is presented in this paper. Finally, the soft test board of the module is developed.

Alternate Data Acquisition and Real-time Monitoring System on HT-7 Tokamak

2005 ◽  
Vol 7 (6) ◽  
pp. 3114-3116 ◽  
Author(s):  
Wei Peijie ◽  
Luo Jiarong ◽  
Wang Hua ◽  
Li Guiming
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Monitoring System ◽  
Real Time Monitoring

Telescope performance real-time monitoring based on machine learning

2020 ◽  
Vol 500 (1) ◽  
pp. 388-396
Author(s):  
Tian Z Hu ◽  
Yong Zhang ◽  
Xiang Q Cui ◽  
Qing Y Zhang ◽  
Ye P Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
System Performance ◽  
High Performance ◽  
High Efficiency ◽  
Peak Performance ◽  
Source Image ◽  
Detection Accuracy ◽  
Real Time Monitoring ◽  
Active Optics

ABSTRACT In astronomy, the demand for high-resolution imaging and high-efficiency observation requires telescopes that are maintained at peak performance. To improve telescope performance, it is useful to conduct real-time monitoring of the telescope status and detailed recordings of the operational data of the telescope. In this paper, we provide a method based on machine learning to monitor the telescope performance in real-time. First, we use picture features and the random forest algorithm to select normal pictures captured by the acquisition camera or science camera. Next, we cut out the source image of the picture and use convolutional neural networks to recognize star shapes. Finally, we monitor the telescope performance based on the relationship between the source image shape and telescope performance. Through this method, we achieve high-performance real-time monitoring with the Large Sky Area Multi-Object Fibre Spectroscopic Telescope, including guiding system performance, focal surface defocus, submirror performance, and active optics system performance. The ultimate performance detection accuracy can reach up to 96.7 per cent.

Research on Mountain Landslide WSN Monitoring System for Karst Area

2013 ◽  
Vol 325-326 ◽  
pp. 836-841 ◽  
Author(s):  
Zhen Xiang Liu ◽  
Xin Wang ◽  
Yong Heng Shi ◽  
Meng Long Zhao
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Monitoring System ◽  
Karst Area ◽  
Landslide Monitoring ◽  
Real Time Monitoring ◽  
Monitoring Plan ◽  
Geological Disasters ◽  
Landslide Stability

This paper, based on the origin of Karst Area landslide and the geographical conditions of Guizhou, studies the application of WSN technology on monitoring and forecast landslide and other geological disasters in Karst, and then put forward a landslide monitoring plan. We study the data acquisition layer node topology, and construct WSN monitoring system and test it under the stimulated environment. The result has shown that, the constructed monitoring system can meet the need of real time monitoring of landslide stability in Karst Area.

scholarly journals The Key Technology Design of the Real-Time Monitoring System Based on FPGA

2019 ◽  
Vol 15 (05) ◽  
pp. 38
Author(s):  
Bengang Bao ◽  
Xiangping Zhu ◽  
Yonghong Tan
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Monitoring System ◽  
Data Acquisition System ◽  
Lighting System ◽  
Real Time Monitoring ◽  
Time Data ◽  
Key Technology ◽  
The Real ◽  
Real Time Data

<p class="keywords"><span lang="EN-US">Due to having a direct affect for the growth of crops, the monitor and modification for the indicators of Greenhouse environment play significant roles in improving the yield of crops. The system, which adopts FPGA technology to control and modify the air condition and lighting system by collecting and analyzing the data of the temperature and humidity, has achieved good effects in practice. In our study, the key technology of real-time data acquisition system based on FPGA is proposed. In particular, based on FPGA, the designed ADC0809 and asynchronous FIFO can save the data in real time, which can be analyzed and disposed timely, so that the environment can be corrected in time.</span></p>

scholarly journals Slope stability monitoring in opencast coal mine based on wireless data acquisition system-a case study

2018 ◽  
Vol 7 (2.21) ◽  
pp. 24
Author(s):  
Kumar Dorthi ◽  
K Ram Chandar
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Coal Mine ◽  
Slope Angle ◽  
Data Acquisition System ◽  
Real Time Monitoring ◽  
Wireless Data ◽  
Opencast Coal Mine ◽  
Wireless Data Acquisition

Real time monitoring of slope failures is necessary to maintain the stability of slopes in open cast mines. A 3-level structure of Wireless Data Acquisition System (WDAQ) is developed for real time monitoring of slope deformation and analysis of data. In this paper, a case study is presented in a large opencast coal mine. Deformation in the slopes with slope angles of 49o, 53o, 58o, 64o, 68o and 70o is monitored over old underground workings. The deformation caused due to the external load like movement Heavy Earth Moving Machinery (HEMM). Maximum deformation was 1.57mm for slope angle of 70o. It can be observed that the deformation increased with increased slope angle. This paper also describes that the validation of data based on WDAQ with the conventional method of monitoring as well as numerical modeling. The data obtained using WDAQ is in close to other two methods. The variation is around 11%. 

The Research on Hydraulic Components Data Monitoring and Management System Based on Network Real-Time Monitoring

2013 ◽  
Vol 457-458 ◽  
pp. 745-750
Author(s):  
Qi Zhang ◽  
Zhi Jing Zhang ◽  
Xin Jin
Keyword(s):  
Data Analysis ◽  
Data Acquisition ◽  
Real Time ◽  
Data Storage ◽  
Management System ◽  
Analysis Data ◽  
Data Monitoring ◽  
Hydraulic Control ◽  
Real Time Monitoring ◽  
Data Acquisition Card

in order to improve the speed and accuracy of monitoring data of hydraulic components,improve the method and efficiency of data storage management, hydraulic components data monitoring and management system based on network real-time monitoring were researched.system uses the ADLINK PCI-9114 data acquisition card collecting signal the sensor transferring,then transfer the signal to the computer on the scene.Temperature,pressure,flow and other signal data acquisition,data analysis,data storage and alarm functions were realized through the LabVIEW software.The system also achieved real-time remote monitoring by B/S structure.Compared with the existing hydraulic control system,the system integrated data acquisition,data analysis,data storage and alarm function and realized the remote real-time monitoring,also have a good interface of humanization design.So it can be applied to the field of hydraulic components data acquisition.

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