Laser airborne remote sensing real-time acquisition, processing, and control system

1997 ◽  
Author(s):  
Brian T. Kelly ◽  
Robert E. Pierson ◽  
T. J. Dropka ◽  
James A. Dowling ◽  
L. M. Lang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Control System ◽  
Real Time ◽  
Airborne Remote Sensing ◽  
And Control ◽  
Time Acquisition

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.

scholarly journals A Real-Time, Automatic, and Dynamic Scheduling and Control System for PET Patients Based on Wearable Sensors

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1104
Author(s):  
Shin-Yan Chiou ◽  
Kun-Ju Lin ◽  
Ya-Xin Dong
Keyword(s):  
Control System ◽  
Real Time ◽  
Human Error ◽  
Dynamic Scheduling ◽  
Wearable Sensors ◽  
Time Data ◽  
Scan Time ◽  
Number Of Patients ◽  
And Control ◽  
Automatic Scheduling

Positron emission tomography (PET) is one of the commonly used scanning techniques. Medical staff manually calculate the estimated scan time for each PET device. However, the number of PET scanning devices is small, the number of patients is large, and there are many changes including rescanning requirements, which makes it very error-prone, puts pressure on staff, and causes trouble for patients and their families. Although previous studies proposed algorithms for specific inspections, there is currently no research on improving the PET process. This paper proposes a real-time automatic scheduling and control system for PET patients with wearable sensors. The system can automatically schedule, estimate and instantly update the time of various tasks, and automatically allocate beds and announce schedule information in real time. We implemented this system, collected time data of 200 actual patients, and put these data into the implementation program for simulation and comparison. The average time difference between manual and automatic scheduling was 7.32 min, and it could reduce the average examination time of 82% of patients by 6.14 ± 4.61 min. This convinces us the system is correct and can improve time efficiency, while avoiding human error and staff pressure, and avoiding trouble for patients and their families.

Next Generation of Real Time Data Acquisition, Calibration and Control System for the RatCAP Scanner

2007 ◽  
Author(s):  
Sachin S Junnarkar ◽  
Jack Fried ◽  
Sudeepti Southekal ◽  
Jean-Francois Pratte ◽  
Paul O'Connor ◽  
...  
Keyword(s):  
Control System ◽  
Data Acquisition ◽  
Real Time ◽  
Next Generation ◽  
Time Data ◽  
Real Time Data ◽  
And Control

Sectional Data Acquisition and Control System for Solar Street Lamps Based on Internet of Things

2013 ◽  
Vol 773 ◽  
pp. 148-153 ◽  
Author(s):  
Juan Zhou ◽  
Bing Yan Chen ◽  
Meng Ni Zhang ◽  
Ying Ying Tang
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Data Acquisition ◽  
Real Time ◽  
Network Flow ◽  
Short Interval ◽  
Management Problem ◽  
Time Data ◽  
Control Centre ◽  
And Control

Aiming at the management problem of real-time data created while intelligent solar street lamps working, sectional data acquisition and control system based on internet of things is introduced in the paper. Communication protocol with unified form and flexible function is designed in the system, and communication address is composed of sectional address and subsection address. Three-level data structure is built in the polling algorithm to trace real-time state of lamps and to detect malfunction in time, which is suitable for sectional lamps management characteristics. The system reflects necessary statistic data and exception information to remote control centre through GPRS to short interval expend on transmission and procession and save network flow and system energy. The result shows the system brings improved management affection and accords with the idea of energy-saving and environmental protection.

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