1 / 7

“Smart” Sensors

“Smart” Sensors. william.b.dodge@usa.dupont.com. DIRTFT Do It Right The First Time. Concept: All parameters needed for measurement and validation are “local” to the sensor Sensor sends only high quality data to DCS for process control. Hardware. UOP Guided Wave 300P Spectrometers

grossw
Télécharger la présentation

“Smart” Sensors

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. “Smart” Sensors william.b.dodge@usa.dupont.com

  2. DIRTFTDo It Right The First Time • Concept: • All parameters needed for measurement and validation are “local” to the sensor • Sensor sends only high quality data to DCS for process control

  3. Hardware • UOP Guided Wave 300P Spectrometers • Multiplexed applications • ~200 analyzer years experience • Bi-directional MODBUS link to DCS • Analyzer returns MEASUREMENT and STATUS value for control action • DCS sends commands and key process parameters

  4. Example Applications • Measurement Validation • Adaptive Sensor • Auto Calibration Maintenance

  5. Measurement Validation • Sensor validates EACH measurement by combining: • Calibration Model Statistics • Outlier detection, fit parameters . . . • Hardware parameters • System voltages, scan time, detector noise . . . • Process (environmental) Data • Pressures, temperatures, flows . . . Measurement status basis for DCS control

  6. Adaptive Sensors • Product TYPE Sets: • Measurement parameters • Calibration equation (model) • Process STATE Sets: • Instrument response (“Auto” cruse control) • Rapid process change = short time constant • Stead state=long time constant

  7. Auto Calibration • DCS signal triggers raw data save when: • Routine samples pulled for lab analysis (low frequency activity) • Non-standard conditions exist • DCS initiates calibration update based on: • Lab data • Corresponding instrument data

More Related