Systems and methods for detecting normal levels of bacteria in water using a multiple angle light scattering (MALS) instrument

• US 7,551,279 B2
• Filed: 11/29/2006
• Issued: 06/23/2009
• Est. Priority Date: 09/19/2005
• Status: Expired due to Fees

• Current Assignee: JMAR LLC
• Original Assignee: JMAR Technologies, Inc.
• Inventors: McCarty, David, Adams, John A., Crousore, Kristina M., Teters, Cherish K., Tutrow, Michael P., Ricardi, John
• Primary Examiner(s): STAFIRA, MICHAEL PATRICK
• Application Number:
  US11/564,773
• Publication Number:
  US 20070194244A1
• Time in Patent Office: 937 Days
• Field of Search: None
• US Class Current: 356/338
• CPC Class Codes: G01N 15/1433 using image recognition
• CPC Class Codes: G01N 15/1459 the analysis being performed on a sample stream
• CPC Class Codes: G01N 2015/019 Biological contaminants; Fouling
• CPC Class Codes: G01N 2015/0238 Single particle scatter
• CPC Class Codes: G01N 21/53 within a flowing fluid, e.g. smoke
• CPC Class Codes: G01N 33/1893 using flow cells

Abstract

A particle detection system to identify and classify particles is programmed to capture digitized images of the particle generated by directing a light source through a fluid that includes the particle. The particle scatters the light and the scattered light is detected using a detector. The detector creates a digital signal corresponding to the particle, which is used by the system to generate Bio-Optical Signature. This Bio-Optical Signature can then be used to classify the event, or particle. Count rate and trends of the classified particles are monitored to detect a change that is representative of the overall health safety of the water or by knowing the levels of bacteria in process water, such as Reverse Osmosis (RO) feed water, reject brine, and product water, the operator may better monitor the life and condition of the RO membrane.

Claims

1. A system for monitoring normal levels of bacteria in liquid, the system comprising:

an optical axis;

a target zone, the optical axis intersecting the target zone;

at least one light source configured to generate a light beam and direct the light beam through the target zone;

an optic lens system configured to collect light scattered by a particle associated with the bacteria in the liquid medium in the target zone and direct the scattered light to at least one detector, the detector configured to detect the light and generate a digital signal; and

a computer system coupled with the detector, the computer system configured to execute a set of programmed instructions to identify and classify the particle, compare counts per unit time to a threshold, and generate an alarm, the instructions causing the computer system to;

extract events from the digital signal;

calculate the similarity between the extracted event and a known event;

classify the event based on the similarity;

calculate a new count rate for the classification type;

calculate a trend in the count rate; and

generate an alarm if the trend is undesirable,

wherein the similarity is determined by a calculation of the ratios of outer pixels to inner pixels and comparing between the extracted event and a known event.

2. The system of claim 1, wherein the bacteria are a Heterotropic Plate Count (HPC) bacteria.

3. The system of claim 1, wherein the bacteria are an indicator of biofilm slough-off, growth of a biofilm, or both.

4. The system of claim 1, wherein the liquid is a brine reject produced by a Reverse Osmosis RO process.

5. The system of claim 1, wherein the liquid is an inlet feed water for a RO process.

6. The system of claim 1, wherein the liquid is a RO product of a RO process.

7. The system of claim 1, wherein the liquid is at least one of a brine reject produced by a Reverse Osmosis RO process, an inlet feed water for a RO process, or a RO product of a RO process.

30. The system of claim 1, wherein classifying the event comprises generating a Bio-Optical Signature.

8. A system for monitoring normal levels of bacteria in liquid, the system comprising:

an optical axis;

a target zone, the optical axis intersecting the target zone;

at least one light source configured to generate a light beam and direct the light beam through the target zone;

an optic lens system configured to collect light scattered by a particle associated with the bacteria in the liquid medium in the target zone and direct the scattered light to at least one detector, the detector configured to detect the light and generate a digital signal; and

a computer system coupled with the detector, the computer system configured to execute a set of programmed instructions to identify and classify the particle, compare counts per unit time to a threshold, and generate an alarm, the instructions causing the computer system to;

extract events from the digital signal;

calculate the similarity between the extracted event and a known event;

classify the event based on the similarity;

calculate a new count rate for the classification type;

calculate a trend in the count rate; and

generate an alarm if the trend is undesirable,

wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to generate a intensity versus time vector (L-events vector) for the extracted event.

9. The system of claim 8, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to compute a tuned differential vector from the L-events vector.

10. The system of claim 9, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to compare the tuned differential vector to a threshold.

11. The system of claim 10, wherein comparing the tuned differential vector to a threshold comprises comparing the tuned differential vector to a low threshold and then a high threshold.

12. The system of claim 10, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to begin counting subsequent frames received from the detector based on the comparison, and to determine an interval for the event based in the number of frames counted.

13. The system of claim 12, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to determine an event duration based in the number of frames counted and to compare the duration to a threshold.

14. The system of claim 13, wherein comparing the event duration to a threshold comprises comparing the event duration to a minimum and a maximum threshold.

15. The system of claim 13, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to locate a peak position frame for the event.

16. The system of claim 15, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to remove noise from the digital signal by summing on a pixel by pixel basis the peak position frame and the previous frame and subtracting (0.5 multiplied by the sum of corresponding pixels from the three frames before the peak event and 0.5 multiplied by the sum of corresponding pixels from the three frames after the event).

17. The system of claim 16, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to normalize the frame that results from the summing and subtracting.

18. The system of claim 17, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to correct the gain for the normalized frame.

19. The system of claim 18, wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to correct dead pixels in the normalized frame.

20. A system for monitoring normal levels of bacteria in liquid, the system comprising:

an optical axis;

a target zone, the optical axis intersecting the target zone;

at least one light source configured to generate a light beam and direct the light beam through the target zone;

an optic lens system configured to collect light scattered by a particle associated with the bacteria in the liquid medium in the target zone and direct the scattered light to at least one detector, the detector configured to detect the light and generate a digital signal; and

a computer system coupled with the detector, the computer system configured to execute a set of programmed instructions to identify and classify the particle, compare counts per unit time to a threshold, and generate an alarm, the instructions causing the computer system to;

extract events from the digital signal;

calculate the similarity between the extracted event and a known event;

classify the event based on the similarity;

calculate a new count rate for the classification type;

calculate a trend in the count rate; and

generate an alarm if the trend is undesirable,

wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to perform a mean amplitude calculation on a normalized frame, and

wherein the instructions are further configured to cause the computer system to extract events by causing the computer system to back rotate the normalized frame to the standard orientation of a major axis using a rotation angle.

21. A system for monitoring normal levels of bacteria in liquid, the system comprising:

an optical axis;

a target zone, the optical axis intersecting the target zone;

at least one light source configured to generate a light beam and direct the light beam through the target zone;

an optic lens system configured to collect light scattered by a particle associated with the bacteria in the liquid medium in the target zone and direct the scattered light to at least one detector, the detector configured to detect the light and generate a digital signal; and

a computer system coupled with the detector, the computer system configured to execute a set of programmed instructions to identify and classify the particle, compare counts per unit time to a threshold, and generate an alarm, the instructions causing the computer system to;

extract events from the digital signal;

calculate the similarity between the extracted event and a known event;

classify the event based on the similarity;

calculate a new count rate for the classification type;

calculate a trend in the count rate; and

generate an alarm if the trend is undesirable,

wherein the instructions are further configured to cause the computer system to precondition the extracted events, and

wherein the instructions are further configured to cause the computer system to precondition the extracted events by causing the computer system to generate a normalized array of events, each event of the array of events comprising a standard orientation, and to adjust the mean value of each event in the array of events.

22. The system of claim 21, wherein adjusting the mean value comprises adjusting the mean value to a predetermined value.

23. The system of claim 21, wherein the instructions are further configured to cause the computer system to precondition the extracted events by causing the computer system to perform log normal processing for each event of the array of events.

24. The system of claim 23, wherein the instructions are further configured to cause the computer system to precondition the extracted events by causing the computer system to readjust the mean for each event of the array of events after the log normal processing.

25. The system of claim 21, wherein the instructions are further configured to cause the computer system to precondition the extracted events by causing the computer system to generate a normalized array of events, each event of the array of events comprising a standard orientation, and to multiply each pixel time in the array of events by sin(scattering angle)^4.

26. The system of claim 25, wherein the instructions are further configured to cause the computer system to precondition the extracted events by causing the computer system to adjust the mean for each event in the array of events to a predetermined value.

27. A system for monitoring normal levels of bacteria in liquid, the system comprising:

an optical axis;

a target zone, the optical axis intersecting the target zone;

at least one light source configured to generate a light beam and direct the light beam through the target zone;

an optic lens system configured to collect light scattered by a particle associated with the bacteria in the liquid medium in the target zone and direct the scattered light to at least one detector, the detector configured to detect the light and generate a digital signal; and

a computer system coupled with the detector, the computer system configured to execute a set of programmed instructions to identify and classify the particle, compare counts per unit time to a threshold, and generate an alarm, the instructions causing the computer system to;

extract events from the digital signal;

calculate the similarity between the extracted event and a known event;

classify the event based on the similarity;

calculate a new count rate for the classification type;

calculate a trend in the count rate; and

generate an alarm if the trend is undesirable,

wherein the instructions are further configured to cause the computer system to extract features for classification for the extracted event, and

wherein the instructions are further configured to cause the computer system to extract features from the extracted events by causing the computer system to generate a normalized array of events, each event of the array of events comprising a standard orientation, and to use the entire frame corresponding to each event in the array of events for extraction.

28. The system of claim 27, wherein the instructions are further configured to cause the computer system to extract features from the extracted events by causing the computer system to generate a normalized array of events, each event of the array of events comprising a standard orientation, and to perform spatial transformation on each event in the array of events.

29. The system of claim 28, wherein the instructions are further configured to cause the computer system to extract features from the extracted events by causing the computer system to select either a RT-circular or RT-spoke data for classification.