Method and apparatus for sensing microbial growth conditions

• US 6,704,681 B1
• Filed: 12/27/2002
• Issued: 03/09/2004
• Est. Priority Date: 12/27/2002
• Status: Expired due to Fees

• Current Assignee: MGS Holdings, LLC (TRC Cos., Inc.)
• Original Assignee: Environomics Southwest, LLC
• Inventors: Lee, Michael, Nassof, Russell S., Kuhn, Ryan
• Primary Examiner(s): SHAH, KAMINI S
• Application Number:
  US10/330,564
• Time in Patent Office: 438 Days
• Field of Search: 702/132, 702/136, 702/34, 165/1, 165/16, 204/230.2, 204/230.6, 204/515
• US Class Current: 702/132
• CPC Class Codes: G01N 25/56 by investigating moisture content

Abstract

This method and device collect relative humidity data, then evaluate that data using an algorithm to determine if conditions are permissible for fungal growth. The growth condition meter, placed in a building'"'"'s wall or ceiling, includes a simple controller attached to a memory, a timer, a relative humidity sensor, and a user interface. The device executes an algorithm for determining growth conditions based on a 24-hour history of relative humidity samples. First, the algorithm determines if relative humidity levels follow a cyclical profile similar to typical environmental conditions. In addition, it verifies that enough time is spent below a temporal humidity threshold. Second, the algorithm performs a baseline analysis comparing all samples over the previous 24-hour period to determine if all samples are over a fixed threshold. This allows for a situation where enough time is spent below the temporal threshold but overall relative humidity remains too high.

Claims

1. A method of detecting environmental conditions conducive to mold growth within a cavity of a building comprising:

sensing a relative humidity value;

repeating the sensing of a relative humidity value from time to time;

creating a historical data set by storing the relative humidity values from at least two sequential iterations of the sensing activity;

analyzing the historical data set to determine a severity level based upon when at least one predetermined humidity threshold is exceeded; and

notifying a user of the severity level.

2. The method of claim 1, wherein analyzing the historical data set comprises increasing the severity level when the historical data set indicates that the relative humidity has remained greater than a first baseline humidity for a predetermined data set scope, said predetermined data set scope being greater than 15 hours.

3. The method of claim 1, wherein analyzing the historical data set comprises increasing the severity level when relative humidity values in the historical data set indicate relative humidity below the temporal humidity threshold for a period of time less than a first duration.

4. The method of claim 1, wherein analyzing the historical data set comprises:

increasing the severity level when the historical data set indicates that the relative humidity has remained greater than a first baseline humidity for a predetermined data set scope, said predetermined data set scope being greater than 15 hours; and

increasing the severity level when relative humidity values in the historical data set indicate relative humidity below the temporal humidity threshold for a period of time less than a first duration.

5. The method of claim 4, wherein analyzing the historical data set further comprises:

additionally increasing the severity level when relative humidity values in the historical data set indicate relative humidity below the temporal humidity threshold for a period of time less than a second duration, the second duration being less than the first duration;

additionally increasing the severity level when relative humidity values in the historical data set indicate relative humidity below the temporal humidity threshold for a period of time less than a third duration, the third duration being less than the second duration;

additionally increasing the severity level when relative humidity values in the historical data set indicate relative humidity below the temporal humidity threshold for a period of time less than a fourth duration, the fourth duration being less than the third duration.

6. The method of claim 5 wherein:

the temporal humidity threshold is about 80%;

the first duration is about 13 hours;

the second duration is about 10 hours;

the third duration is about 7 hours; and

the fourth duration is about 4 hours.

7. The method of claim 4, wherein analyzing the historical data set further comprises:

additionally increasing the severity level when the historical data set indicates that the relative humidity has remained greater than a second baseline humidity for the predetermined data set scope, the second baseline humidity threshold being greater than the first baseline humidity threshold; and

additionally increasing the severity level when the historical data set indicates that the relative humidity has remained greater than a third baseline humidity for the predetermined data set scope, the third baseline humidity threshold being greater than the second baseline humidity threshold.

8. The method of claim 7, wherein:

the first baseline humidity threshold is about 65%;

the second baseline humidity threshold is about 70%; and

the third baseline humidity threshold is about 75%.

9. The method of claim 1, wherein the step of notifying a user further comprises transmitting the severity level to a host computer.

10. The method of claim 1, wherein the historical data set includes at least eight relative humidity values from iterations of the sensing activity performed over the previous 24 hours.

11. The method of claim 10 wherein the historical data set includes at least 24 relative humidity values from iterations of the sensing activity performed over the previous 24 hours.

12. A system for detecting environmental conditions conducive to mold growth within a cavity of a building comprising:

a controller;

a relative humidity sensor operably coupled to the controller;

a memory operably coupled to the controller, wherein a set of relative humidity values sensed by the relative humidity sensor during a set of sampling events are stored in the memory;

a set of executable instructions are stored in the memory for execution by the controller, the set of executable instructions being configured to control the relative humidity sensor and execute a humidity analysis algorithm for determining environmental conditions conducive to mold growth by analyzing the set of relative humidity values relative to at least one predetermined humidity threshold; and

a user interface operably coupled to the controller for reporting results of the humidity analysis algorithm as a severity level.

13. The system of claim 12, further comprising a network interface.

14. The system of claim 12, wherein the user interface comprises a user notification panel for indicating the severity level.

15. The system of claim 14, wherein the user interface further comprises a visual alarm indicating a severity level wherein a growth condition deviating from historical norms has been reached.

16. The system of claim 14, wherein the user interface further comprises an audio alarm indicating a severity level wherein a growth condition deviating from historical norms has been reached.

20. The system of claim 15, wherein the user interface further comprises, an audio alarm indicating a severity level wherein a growth condition deviating from historical norms has been reached.

17. A system for detecting environmental conditions conducive to mold growth within a cavity of a building comprising:

a host computer; and

at least one growth condition meter within at least one cavity of a building operably coupled to the host computer, comprising;

a controller;

a relative humidity sensor operably coupled to the controller;

a memory operably coupled to the controller, wherein a set of relative humidity values sensed by the relative humidity sensor during a set of sampling events are stored in the memory, and a set of executable instructions are stored in the memory for execution by the controller, the set of executable instructions being configured to control the relative humidity sensor and execute a humidity analysis algorithm for determining environmental conditions conducive to mold growth by analyzing the set of relative humidity values relative to at least one predetermined humidity threshold; and

a user interface for reporting results of the humidity analysis algorithm as a severity level.

18. The system of claim 17, wherein the user interface comprises a user notification panel for indicating the severity level.

19. The system of claim 17, wherein the user interface further comprises a visual alarm indicating a severity level wherein a growth condition deviating from historical norms has been reached.