Systems and methods for monitoring a process output with a highly abridged spectrophotometer
View Patent ↗A method for monitoring a process output with a highly abridged spectrophotometer. The method includes securing spectral data for each spectral primary used in a process, measuring spectral data with a highly abridged spectrophotometer for a sample produced by the process, determining an estimated weight for each spectral primary in the sample, and computing spectral data representative of the sample based on the secured spectral data and the determined estimated weight for each spectral primary in the sample.
1. A method for monitoring a process output with a highly abridged spectrophotometer, the method, comprising:
securing spectral data for each spectral primary used in a process;
measuring spectral data with a highly abridged spectrophotometer for a sample produced by the process;
determining an estimated weight for each spectral primary in the sample;
computing spectral data representative of the sample based on the secured spectral data and the determined estimated weight for each spectral primary in the sample; and
storing the computed spectral data.
2. The method of claim 1 , wherein securing the spectral data for each spectral primary used in the process includes measuring the spectral data with a benchmark instrument for each spectral primary used in the process.
3. The method of claim 2 , wherein measuring the spectral data with the benchmark instrument comprises measuring the spectral data with a scanning spectrophotometer.
4. The method of claim 2 , wherein measuring the spectral data with the benchmark instrument comprises measuring the spectral data with an abridged spectrophotometer that measures spectral data at thirty-one or more different wavelengths.
5. The method of claim 1 , wherein measuring the spectral data with the highly abridged spectrophotometer includes measuring the spectral data for a predetermined number of different wavelengths.
6. The method of claim 5 , wherein measuring the spectral data for the predetermined number of different wavelengths comprises measuring the spectral data for ten or fewer different wavelengths.
7. The method of claim 1 , wherein determining the estimated weight for each spectral primary in the sample comprises determining each weight with a Neugebauer module.
8. The method of claim 1 , wherein determining the estimated weight for each spectral primary in the sample comprises determining each weight with a one constant Kubelka-Munk module.
9. The method of claim 1 , wherein determining the estimated weight for each spectral primary in the sample comprises determining each weight with a two constant Kubelka-Munk module.
10. The method of claim 1 , wherein determining the estimated weight for each spectral primary in the sample comprises determining each weight with a log absorbance module.
11. The method of claim 1 , wherein determining the estimated weight for each spectral primary in the sample comprises determining each weight with a multi-flux module.
12. The method of claim 1 , further comprising determining an appropriate mixing module before securing the spectral data for each spectral primary used in the process.
13. The method of claim 2 , further comprising storing the spectral data measured with the benchmark instrument.
14. The method of claim 1 , further comprising storing the spectral data measured with the abridged spectrophotometer.
15. The method of claim 1 , further comprising storing the estimated weight for each spectral primary in the sample.
16. The method of claim 1 , further comprising generating a spectral curve that comprises the computed data points.
17. A system for monitoring a process output with a highly abridged spectrophotometer, the system comprising:
a highly abridged spectrophotometer;
a mixing model module for determining an estimated weight for each spectral primary in a sample based on spectral data measured by the highly abridged spectrophotometer; and
a spectral data computing module for computing spectral data representative of the sample based on the determined estimated weights.
18. A computer program stored on a computer-readable medium, the program comprising instructions for determining an estimated weight for each spectral primary in a sample produced by a process.
19. The computer program of claim 18 , further comprising instructions for computing spectral data representative of a sample produced by a process, wherein the computed spectral data is based on the determined estimated weights.
20. The computer program of claim 19 , further comprising instructions for generating a spectral curve based on the computed spectral data.
21. A method for monitoring a process output with a highly abridged spectrophotometer, the method, comprising:
securing spectral data for each base component used in a process, wherein the base component has a first spectrum that affects a spectrum of a sample produced by the process;
measuring spectral data for the sample with a spectrophotometer, wherein the spectrophotometer measures less than thirty-one (31) spectral bands across the visible spectrum;
determining an estimated weight for each base component in the sample;
computing spectral data representative of the sample based on the secured spectral data and the determined estimated weight for each base component in the sample; and
storing the computed spectral data.
22. A processor for monitoring a process output with a highly abridged spectrophotometer, wherein the processor is configured to:
receive spectral data for each spectral primary used in a process;
receive spectral data for a sample produced by the process, wherein the spectral data for the sample is measured with a highly abridged spectrophotometer;
determine an estimated weight for each spectral primary in the sample; and
compute spectral data representative of the sample based on the secured spectral data and the determined estimated weight for each spectral primary in the sample.