ENVIRONMENTAL MONITORING

• US 20130289927A1
• Filed: 04/26/2013
• Published: 10/31/2013
• Est. Priority Date: 04/27/2012
• Status: Abandoned Application

• Current Assignee: Magpie Sensing LLC
• Original Assignee: Magpie Sensing LLC
• Inventors: Smith, Thomas, Douglas, Robert, Ebers, Brendan, Smalletz, Jonathan, Ozdemir, Sinan
• Application Number:
  US13/871,888
• Publication Number:
  US 20130289927A1
• Time in Patent Office: Days
• US Class Current: 702/130
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06Q 10/0832 Special goods or special handling procedures, e.g. handling of hazardous or fragile goods

Abstract

A computer-based method includes collecting a sequence of measurements related to a controllable environmental parameter in a monitored space over time, deriving a master curve based on the sequence of collected measurements to characterize normal periodic variations in the controllable environmental parameter over time, collecting one or more subsequent measurements that represent the controllable environmental parameter of the monitored space, and evaluating a likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level by comparing a curve associated with one or more of the subsequent measurements to the master curve.

Claims

1. A computer-based method comprising:

collecting a sequence of measurements related to a controllable environmental parameter in a monitored space over time;

deriving a master curve based on the sequence of collected measurements to characterize normal periodic variations in the controllable environmental parameter over time;

collecting one or more subsequent measurements that represent the controllable environmental parameter of the monitored space; and

evaluating a likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level by comparing a curve associated with one or more of the subsequent measurements to the master curve.

2. The computer-based method of claim 1, further comprising alerting one or more system operators if the evaluation reveals a likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level,

wherein the alerting is in advance of the controllable environmental parameter exceeding the acceptable level.

3. The computer-based method of claim 1, further comprising:

estimating the future point in time that the controllable environmental parameter will exceed the acceptable level.

4. The computer-based method of claim 3, further comprising:

presenting to one or more system operators an indication of the estimated future point in time that the controllable environmental parameter will exceed the acceptable level.

5. The computer-based method of claim 1, wherein deriving the master curve to characterize the normal periodic variations in the controllable environmental parameter over time comprises:

dividing the sequence of collected measurements into groups of sequentially collected measurements;

fitting a group curve to each respective group, wherein each group curve is defined by a standard-form variable equation having coefficients that can vary from group curve to group curve;

calculating a statistical measure of central tendency for each respective coefficient in the standard-form variable equation, based on corresponding coefficients in the standard-form equations that define at least two or more of the group curves; and

creating the master curve by applying the corresponding calculated statistical measure of central tendency for each respective coefficient in the standard-form variable equation.

6. The computer-based system of claim 5, wherein the standard-form variable equation is a quadratic equation having a form of f(x)=a0x2+a1x+a2 or a cubic equation having a form f(x)=a0x3+a1x2+a2x+a3,

wherein a0, a1, a2 and a3 are the coefficients of the standard-form variable equation.

7. The computer-based method of claim 1, wherein comparing the curve associated with the one or more subsequent measurements with the master curve comprises:

fitting a subsequent measurement curve to a first one of the subsequent measurements based on the first subsequent measurement and one or more other measurements collected sequentially relative to the first subsequent measurement;

quantifying a degree to which the subsequent measurement curve deviates from the master curve.

8. The computer-based method of claim 7, wherein quantifying the degree to which the subsequent measurement curve deviates from the master curve comprises:

calculating one or more z-scores associated with one or more coefficients in the standard-form equation that defines the subsequent measurement curve and one or more respective corresponding coefficients in the standard-form equation that defines the master curve.

9. The computer-based method of claim 8, wherein evaluating the likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level comprises:

determining whether one or more of the calculated z-scores exceed a corresponding threshold.

10. The computer-based method of claim 9, wherein determining whether one or more of the calculated z-scores exceed the corresponding threshold comprises:

comparing the one or more z-scores to corresponding standard deviations associated with the associated coefficients.

11. The computer-based method of claim 1, further comprising:

deriving, based on the master curve, one or more physical or operational parameters of the monitored space or a control system configured to control the environmental parameter in the monitored space.

12. The computer-based method of claim 11, wherein the physical or operational parameters include:

one or more physical parameters of the monitored space relevant to facilitating control over the environmental parameter in the monitored space;

or

one or more operational parameters associated with the control system.

13. The computer-based method of claim 11, further comprising:

presenting one or more recommendations to a system operator based on one or more of the derived parameters,

wherein the one or more recommendations relate to a physical parameter of the monitored space or an operational parameter associated with the control system.

14. The computer-based method of claim 1, wherein the environmental parameter is selected from the group consisting of:

temperature, humidity, barometric pressure, moisture, visible or ultraviolet light intensity, radiation, particulate contamination, air quality, relative position, acceleration and shock load.

15. A computer system comprising:

a sensor arranged and configured to measure a controllable environmental parameter; and

one or more processors coupled to the sensor via a communications network, wherein the one or more processors are configured to;

receive a sequence of measurements related to the controllable environmental parameter in a monitored space over time from the sensor;

derive a master curve based on the sequence of collected measurements to characterize normal periodic variations in the controllable environmental parameter over time;

collect one or more subsequent measurements that represent the controllable environmental parameter of the monitored space; and

evaluate a likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level by comparing a curve associated with one or more of the subsequent measurements to the master curve.

16. The computer system of claim 15, further comprising:

a user-interface coupled to the one or more processors via the communications network, wherein the one or more processors are further configured to;

alert one or more system operators if the evaluation reveals a likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level,

wherein the alert comprises an indication made available to one of the system operators from the user-interface in advance of the controllable environmental parameter actually exceeding the acceptable level.

17. The computer system of claim 15, wherein the one or more processors are further configured to:

estimate the future point in time that the controllable environmental parameter will exceed the acceptable level, and

make available to the one of the system operators from the user-interface an indication of the estimated future point in time that the controllable environmental parameter will exceed the acceptable level.

18. The computer system of claim 15, wherein deriving the master curve to characterize the normal periodic variations in the controllable environmental parameter over time comprises:

dividing the sequence of collected measurements into groups of sequentially collected measurements;

fitting a group curve to each respective group, wherein each group curve is defined by a standard-form variable equation having coefficients that can vary from group curve to group curve;

calculating a statistical measure of central tendency for each respective coefficient in the standard-form variable equation, based on corresponding coefficients in the standard-form equations that define at least two or more of the group curves; and

creating the master curve by applying the corresponding calculated statistical measure of central tendency for each respective coefficient in the standard-form variable equation.

19. The computer system of claim 15, wherein comparing the curve associated with the one or more subsequent measurements with the master curve comprises:

fitting a subsequent measurement curve to a first one of the subsequent measurements based on the first subsequent measurement and one or more other measurements collected sequentially relative to the first subsequent measurement;

quantifying a degree to which the subsequent measurement curve deviates from the master curve,

wherein quantifying the degree to which the subsequent measurement curve deviates from the master curve comprises calculating one or more z-scores associated with one or more coefficients in the standard-form equation that defines the subsequent measurement curve and one or more respective corresponding coefficients in the standard-form equation that defines the master curve, and

wherein evaluating the likelihood that the controllable environmental parameter will, at some future point in time, exceed an acceptable level comprises determining whether one or more of the calculated z-scores exceed a corresponding threshold.

20. The computer system of claim 15, wherein the one or more processors are further configured to:

derive, based on the master curve, one or more physical or operational parameters of the monitored space or a control system configured to control the environmental parameter in the monitored space,

wherein the physical or operational parameters include;

one or more physical parameters of the monitored space relevant to facilitating control over the environmental parameter in the monitored space;

or

one or more operational parameters associated with the control system.

21. The computer system of claim 20, wherein the one or more processors are further configured to:

make accessible from a user-interface device coupled to the one or more processors, one or more recommendations to a system operator based on one or more of the derived parameters,

wherein the one or more recommendations relate to a physical parameter of the monitored space or an operational parameter associated with the control system.

22. The computer system of claim 15, wherein the environmental parameter is selected from the group consisting of:

temperature, humidity, barometric pressure, moisture, visible or ultraviolet light intensity, radiation, particulate contamination, air quality, relative position, acceleration and shock load.