Applied Spectroscopy On line Control Welcome!!
Miniature Technology CCD Detection Technology  Czerny-Turner Optical Cross Bench 1 Connector 2 Slit 3 Collimator 4 Mirror  5 Graiting 6 Mirror 7 Col. Lens 8 Op. Filter 9 CCD Detector Simultaneous Detection of Full Spectrum
Optic Fiber Spectrometry Up to 1,000 meters in NIR with attenuation below 5% 20 m max. in UV-VIS No contact between Sensor and Product Non-Invasive & Non-Destructive Fast and Safe Measurement Modular and Versatile
No-Moving SPC Optics No moving optics in the Spectrometer High Stability and Low maintenance No spectral drift No Chemical Residues – Clean Operation Light Central Control Sample Optic Fiber Spectrum Sensor
Customized Technology Customizable User Software  Exclusive Fiber Optic Commuting System Multi Parameter & Multipoint – Full Automatic Available for Solids and/or Liquids Remote Supervision by Internet or Intranet Historic Database Register and Exportable High experienced Technical Support
“ OLSEN”: The OnLine Sensor
Technical Characteristics Automatic Reference Device Exclusive Optical Sensor with NIR Light Source Electronic Commands and Remote Communication Monitoring Sensors to control remotely the Device Operation and Performance Automatic and Programmable Sampling Device Fully Installed in Industrial Cabinets
Process Electronics & Automation
NIR Automatic Central Device Auto-Refrigerated NIR Unit General Power Sources Fiber Optic Commuter up to Control 8 Remote Process Sensors System Micro-Controler Electronics and Automatic Controlers Temperature Monitoring Sensors PC Serial and USB Communication
Measurement and Communication Olsen 1 Central Control Central PC User 1 User 2 Fiber Optics Fiber Optics CAN CAN Intranet Intranet RS232 USB (Light signal) (Light signal) (control) (Data & Registers) CAN CAN NIR Commuter Electronics Olsen 2 Olsen 3 Olsen n
Automation Maximum and Minimum Levels Alarms On Line Graphics by Sensor and Parameter Automatic Error Register Permanent Full System Performance Monitoring Simultaneous Information in Screen of the selected Sensors and Parameters Programmable Period to Display On Line Automatic and On Line Calculation / Report of: Single Result; Period; Average; Time; Date & Alarms Automatic & Programmable Sampling through Software;  By sensor and time - Up to 4(four) samples per day per sensor: For Calibration and/or Validation Procedures
Predicted Statistics X axis :  Difference Between the NIR Data and Lab Standard Analysis (Residuals) Y axis :  Predicted Percentage of Samples falling into the different Residuals ranges
Obtained Statistics in Process Results Obtained in Real Process Plants over the following  Residual = NIR value – LAB value Products: Soybean Soybean Meal High Protein Soybean Meal
 
 
 
Advantages Great Versatility Modular Sequential & Automatic Analysis of different products/parameters in each sensor Fast Response and Full Automation Huge Quantity Information about the Process Rapid Statistics and Historic Data Low Maintenance Optimum Representative
Thank You Very Much !!! Gustavo Caneda

On line presentation

  • 1.
    Applied Spectroscopy Online Control Welcome!!
  • 2.
    Miniature Technology CCDDetection Technology Czerny-Turner Optical Cross Bench 1 Connector 2 Slit 3 Collimator 4 Mirror 5 Graiting 6 Mirror 7 Col. Lens 8 Op. Filter 9 CCD Detector Simultaneous Detection of Full Spectrum
  • 3.
    Optic Fiber SpectrometryUp to 1,000 meters in NIR with attenuation below 5% 20 m max. in UV-VIS No contact between Sensor and Product Non-Invasive & Non-Destructive Fast and Safe Measurement Modular and Versatile
  • 4.
    No-Moving SPC OpticsNo moving optics in the Spectrometer High Stability and Low maintenance No spectral drift No Chemical Residues – Clean Operation Light Central Control Sample Optic Fiber Spectrum Sensor
  • 5.
    Customized Technology CustomizableUser Software Exclusive Fiber Optic Commuting System Multi Parameter & Multipoint – Full Automatic Available for Solids and/or Liquids Remote Supervision by Internet or Intranet Historic Database Register and Exportable High experienced Technical Support
  • 6.
    “ OLSEN”: TheOnLine Sensor
  • 7.
    Technical Characteristics AutomaticReference Device Exclusive Optical Sensor with NIR Light Source Electronic Commands and Remote Communication Monitoring Sensors to control remotely the Device Operation and Performance Automatic and Programmable Sampling Device Fully Installed in Industrial Cabinets
  • 8.
  • 9.
    NIR Automatic CentralDevice Auto-Refrigerated NIR Unit General Power Sources Fiber Optic Commuter up to Control 8 Remote Process Sensors System Micro-Controler Electronics and Automatic Controlers Temperature Monitoring Sensors PC Serial and USB Communication
  • 10.
    Measurement and CommunicationOlsen 1 Central Control Central PC User 1 User 2 Fiber Optics Fiber Optics CAN CAN Intranet Intranet RS232 USB (Light signal) (Light signal) (control) (Data & Registers) CAN CAN NIR Commuter Electronics Olsen 2 Olsen 3 Olsen n
  • 11.
    Automation Maximum andMinimum Levels Alarms On Line Graphics by Sensor and Parameter Automatic Error Register Permanent Full System Performance Monitoring Simultaneous Information in Screen of the selected Sensors and Parameters Programmable Period to Display On Line Automatic and On Line Calculation / Report of: Single Result; Period; Average; Time; Date & Alarms Automatic & Programmable Sampling through Software; By sensor and time - Up to 4(four) samples per day per sensor: For Calibration and/or Validation Procedures
  • 12.
    Predicted Statistics Xaxis : Difference Between the NIR Data and Lab Standard Analysis (Residuals) Y axis : Predicted Percentage of Samples falling into the different Residuals ranges
  • 13.
    Obtained Statistics inProcess Results Obtained in Real Process Plants over the following Residual = NIR value – LAB value Products: Soybean Soybean Meal High Protein Soybean Meal
  • 14.
  • 15.
  • 16.
  • 17.
    Advantages Great VersatilityModular Sequential & Automatic Analysis of different products/parameters in each sensor Fast Response and Full Automation Huge Quantity Information about the Process Rapid Statistics and Historic Data Low Maintenance Optimum Representative
  • 18.
    Thank You VeryMuch !!! Gustavo Caneda