Systems and methods for utility meter demand data collection

• US 20070005519A1
• Filed: 06/20/2005
• Published: 01/04/2007
• Est. Priority Date: 06/20/2005
• Status: Abandoned Application

• Current Assignee: Cellnet Innovations, Inc.
• Original Assignee: Cellnet Innovations, Inc.
• Inventors: Gupta, Ravi
• Application Number:
  US11/157,097
• Publication Number:
  US 20070005519A1
• Time in Patent Office: Days
• US Class Current: 705/412
• CPC Class Codes: G01R 21/133 by using digital technique
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

Systems and methods for utility meter data collection on distributed metering systems. One aspect of the present invention provides a method and system of remotely determining the highest demand peak occurring during a given billing cycle.

Claims

1. A method of collecting utility demand data from a utility meter comprising:

determining a period of a set number of time intervals, wherein the period'"'"'s length is equal to a maximum number of time intervals in any billing cycle plus a number of time intervals of slack;

determining a peak transmission count of a set number of time intervals, wherein the peak transmission count is equal to the maximum number of time intervals in any billing cycle minus the minimum number of time intervals in the billing cycle plus the number of time intervals of slack plus one;

recording a demand peak at the passage of each time interval, wherein the demand peak is associated with the time interval in which it occurred;

determining demand peak high values, wherein the demand peak high values are the highest demand peaks occurring over the last period, and the number of demand peak high values determined is equal to the peak transmission count;

transmitting demand peak high values to a remote data collection system; and

determining the highest demand peak to occur during a billing period from the demand peak high values.

2. The method of claim 1 wherein the time interval is a day.

4. The method of claim 1 wherein the number of time intervals of slack is equal to the number of time intervals of flexibility in excess of a billing window.

5. The method of claim 1 wherein the time interval is divided into non-overlapping 15 minute segments and the demand peak is the 15 minute segment occurring during the time interval that has the greatest amount of utility consumed.

6. The method of claim 1 wherein the time interval is divided into overlapping 15 minute segments and the demand peak is the 15 minute segment occurring during the time interval that has the greatest amount of utility consumed.

7. The method of claim 1 wherein the time interval is divided into rolling 15 minute segments and the demand peak is the 15 minute segment occurring during the time interval that has the greatest amount of utility consumed.

8. The method of claim 1 further comprising storing demand peaks for only the intervals in the last period.

9. The method of claim 1 wherein the remote data collection system utilizes a drive-by data collection device to receive the transmitted demand peak high values.

10. The method of claim 1 wherein the remote data collection system utilizes a stationary data collection device to receive the transmitted demand peak high values.

11. The method of claim 1 wherein determining the highest demand peak to occur during a billing period further comprises determining which of the demand peak high values occur within the billing period by determining whether the time interval associated with each demand peak high value occurs within the billing period.

3. The method of claiml wherein the time interval is a half-day.

12. A utility demand data collection system comprising:

a utility meter reading device for determining a period and a peak transmission count, recording demand peaks and their associated time intervals, and determining demand peak high values, wherein the demand peak high values are the highest demand peaks occurring over the last period, and the number of demand peak high values is equal to the peak transmission count, and transmitting demand peak high values; and

a data collection device for receiving the transmitted demand peak high values and determining the highest demand peak to occur during a billing period.

13. The system of claim 12 wherein the time interval is a day.

14. The system of claim 12 wherein the number of time intervals of slack is equal to the number of time intervals of flexibility in excess of a billing window.

15. The system of claim 12 wherein the time interval is divided into non-overlapping 15 minute segments and the demand peak is the 15 minute segment occurring during the time interval that has the greatest amount of utility consumed.

16. The system of claim 12 wherein the time interval is divided into overlapping 15 minute segments and the demand peak is the 15 minute segment occurring during the time interval that has the greatest amount of utility consumed.

17. The system of claim 12 wherein the time interval is divided into rolling 15 minute segments and the demand peak is the 15 minute segment occurring during the time interval that has the greatest amount of utility consumed.

18. The system of claim 13 wherein a drive-by data collection device is used to receive the transmitted demand peak high values.

19. The system of claim 13 wherein a stationary data collection device is used to receive the transmitted demand peak high values.