Building management performance indexing and control

• US 7,599,815 B2
• Filed: 03/06/2006
• Issued: 10/06/2009
• Est. Priority Date: 03/04/2005
• Status: Expired due to Fees

• Current Assignee: PureChoice Incorporated
• Original Assignee: PureChoice Incorporated
• Inventors: Kennedy, James M., Reichel, Bryan S.
• Primary Examiner(s): Wachsman; Hal D
• Application Number:
  US11/368,911
• Publication Number:
  US 20060206273A1
• Time in Patent Office: 1,310 Days
• Field of Search: 702/182, 702/1, 702/24, 702/81, 702/187
• US Class Current: 702/182
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/64 using pre-stored data
• CPC Class Codes: F24F 2110/20 Humidity
• CPC Class Codes: F24F 2110/50 Air quality properties
• CPC Class Codes: F24F 2110/64 Airborne particle content
• CPC Class Codes: F24F 2110/72 Carbon monoxide
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house
• CPC Class Codes: G05B 23/0235 based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/08 Construction
• CPC Class Codes: G06Q 50/12 Hotels or restaurants
• CPC Class Codes: Y02B 30/70 Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Abstract

A method for measuring compliance with building air quality attribute set points. The method includes the steps of sensing a first attribute of environmental air quality, setting a range of acceptable values for the first attribute, setting a penalty function for the first attribute and comparing sensed data to the first range of acceptable values. The first penalty function is applied as appropriate to assess a first set of points for the first attribute. An index value is created that is a function of the first set of points. In another aspect, the method includes sensing a second attribute, comparing the data against acceptable values and applying a second penalty function as appropriate. The index value is also a function of the second set of points. In yet another aspect, the method includes the step of sensing a first attribute at a second site.

Claims

1. A method for measuring compliance with building air quality attribute set points, comprising the steps of:

sensing a first attribute of air quality with an air quality sensor at a first site;

setting a first range of acceptable values for the first attribute;

setting a first penalty function for the first attribute;

comparing the sensed first attribute to the first range of acceptable values and applying the first penalty function to assess a first set of points for the first attribute; and

creating an index value that is a function of the first set of points.

2. The method of claim 1, further comprising the step of storing data from the air quality sensor related to the first attribute from the sensing step and wherein the step of comparing the sensed first attribute to the first range of acceptable values includes comparing the stored data against the first range of acceptable values.

3. The method of claim 1, further comprising the step of storing data from the air quality sensor related to the first attribute from the sensing step and wherein the step of comparing the sensed data for the first attribute to the first range of acceptable values includes comparing a block of the stored data against the first range of acceptable values and wherein the step of applying the first penalty function includes applying the first penalty function if the entire block of stored data is outside the first range of acceptable values.

4. The method of claim 1, further comprising the step of storing data from the air quality sensor related to the first attribute from the sensing step, wherein:

the step of storing data from the sensing step includes storing a time stamp;

the step of setting a first range of acceptable values for the first attribute includes setting a first time dependent range of values for a first time interval and a second time dependent range of values for a second time interval; and

the step of comparing the sensed first attribute to the first range of acceptable values includes comparing the data for the first attribute stored during the first time interval against the first time dependent range of values and comparing the data for the first attribute stored during the second time interval against the second time dependent range of values.

5. The method of claim 1, further comprising the step of calculating a percentage of time out of range, including calculating the percentage of time that the first attribute is outside the first range of acceptable values.

6. The method of claim 1, further comprising:

sensing a second attribute of air quality at the first site over a first time period;

setting a second range of acceptable values for the second attribute;

setting a second penalty function for the second attribute where points are assessed as function of a difference between the data for the second attribute and the second range of acceptable values;

comparing the sensed second attribute to the second range of acceptable values and applying the second penalty function to assess a second set of points for each second attribute;

wherein the step of creating the index value further includes creating an index value that is a function of the second set of points.

7. The method of claim 6, further comprising the step of storing data from the second attribute from the sensing step and wherein the step of comparing the sensed second attribute to the second range of acceptable values includes comparing stored data against the second range of acceptable values.

8. The method of claim 6, further comprising the step of storing data from the second attribute from the sensing step and wherein the step of comparing the sensed data for the second attribute to the second range of acceptable values includes comparing a block of the stored data against the second range of acceptable values and wherein the step of applying the second penalty function includes applying the second penalty function if the entire block of stored data is outside the first range of acceptable values.

9. The method of claim 6, further comprising the step of storing data from the second attribute from the sensing step, wherein:

the step of storing data from the sensing step includes storing a time stamp;

the step of setting a second range of acceptable values for the second attribute includes setting a first time dependent range of values for a first time interval and a second time dependent range of values for a second time interval; and

the step of comparing the sensed second attribute to the second range of acceptable values includes comparing the data for the second attribute stored during the first time interval against the first time dependent range of values and comparing the data for the second attribute stored during the second time interval against the second time dependent range of values.

10. The method of claim 6, further comprising the step of calculating a percentage of time that the first attribute is outside the first range of acceptable values.

11. The method of claim 1 further comprising:

sensing a first attribute of environmental air quality at a second site;

comparing the sensed data for the first attribute to the first range of acceptable values and applying the first penalty function to assess a first set of points for the first attribute at the second site; and

creating an index value that is a function of the first set of points for the first attribute at the second site.

12. The method of claim 1, further comprising the step of outputting data related to the sensed first attribute to a spreadsheet.

13. The method of claim 1, wherein the first attribute of air quality is selected from the group consisting of smoke, carbon monoxide, carbon dioxide, temperature, humidity, toxins, chemicals, particles, volatile organic compounds, and foreign substances.

14. The method of claim 1, wherein the first attribute of air quality is a first attribute of indoor air quality.

15. A system for measuring compliance with building air quality attribute set points, comprising:

an air quality sensor producing data values for a first attribute; and

a processor configured to set a first range of acceptable data values for the first attribute, set a first penalty function for the first attribute where points are assessed as a function of a difference that data for the first attribute is outside the first range of acceptable values, compare the sensed data values for the first attribute to the first range of acceptable values and apply the first penalty function to assess a first set of points for each sensed data value for the first attribute, and create an index value that is a function of the first set of points.

16. The system of claim 15, further comprising:

data storage operably connected to the air quality sensor, the data storage used to store the data values; and

wherein the processor compares the data values to the first range of acceptable data values by comparing data values stored in the data storage against the first range of acceptable data values.

17. The system of claim 15, wherein the first attribute is selected from the group consisting of smoke, carbon monoxide, carbon dioxide, temperature, humidity, toxins, chemicals, particles, volatile organic compounds, and foreign substances.

18. The system of claim 15, wherein the first attribute is a first attribute of indoor air quality.