Archive for the ‘safety’ Category

Replacing a manual hydraulic fracturing process that originally required multiple operators can be costly and complicated, but engineers at Data Science Automation were able to create a new acquisition and control system that requires only one operator.



 

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By working with LabVIEW, a new system was easy to create and implement. This cut out the complexity of numerous operators and allowed for more focus on safety-critical aspects of the process. The new LabVIEW based system also generates a higher level of consistency and more reliable results.

 

>> Check out the details here.

In the past, technicians who test drilling tools and electronics for Halliburton had to manually simulate deep well conditions to make sure that equipment would be able to survive the extreme pressure under the earth’s surface.  This manual system exposed technicians to high pressure, placing them at risk because there was no separation between them and the sources of high pressure. To reduce the risk of these testing procedures, Halliburton asked Optimation to create a system for technicians to run tests remotely, safely, and efficiently.

 

 

Optimation used CompactRIO and LabVIEW software to develop a turnkey layout and fabrication of a new valve, panel, and control system. 

 

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>> Check out the case study here. 



Around the world, car accidents claim more lives with each passing year. In fact, according to the Department of Road Transport and Highways in India, the number of auto accidents increased by 34 percent from 1994 to 2004, with one-quarter of crashes due to driver distraction or falling asleep at the wheel. To put the brakes on this deadly trend, engineers at the Indian Institute of Technology innovated with NI LabVIEW software and an NI Compact Vision System to create a real-time, reliable method to detect early symptoms of driver fatigue and prevent car accidents.

 

The most effective estimator of a driver’s fatigue level is the measure of percentage closure of eyes (PERCLOS), followed by the rate of eye saccades, or quick, simultaneous movements of both eyes in the same direction. As a driver grows drowsy, the rate of eye saccades slowly decreases.To power the driver attention monitoring system, engineers turned to LabVIEWand NI CVS-1456 to implement algorithms for real-time eye detection and PERCLOS and eye saccades measurement. These CVS devices are easy-to-use, real-time imaging systems that acquire, process, and display images from IEEE 1394 cameras, which are then saved using NI-IMAQ driver software.

0.4672.gifOffline results for eye detection and eye state estimation based on algorithm in NI Vision

 

 

The final result? A nonintrusive, stand-alone embedded system that achieved 6 fps with an accuracy of more than 90 percent on the CVS-1456 device. This driver attention monitoring system may not be a guardian angel, but it’s just another way that NI tools are helping the world put safety first.

 

 

>> Read the full case study here.