Sheet product dispenser and method of operation

• US 7,996,108 B2
• Filed: 08/22/2008
• Issued: 08/09/2011
• Est. Priority Date: 08/22/2008
• Status: Active Grant

• Current Assignee: GPCP IP Holdings LLC
• Original Assignee: Georgia-Pacific Consumer Products LP (KOCH Industries Incorporated)
• Inventors: Yardley, Craig D.
• Primary Examiner(s): Waggoner; Timothy R
• Application Number:
  US12/196,753
• Publication Number:
  US 20100044407A1
• Time in Patent Office: 1,082 Days
• Field of Search: 700/236, 700/244, 700/241, 221/7
• US Class Current: 700/241
• CPC Class Codes: B65H 2513/52 Age; Duration; Life time or chronology of event
• CPC Class Codes: B65H 35/0006 Article or web delivery apparatus incorporating cutting or line-perforating devices
• CPC Class Codes: Y10T 225/209 With feed-out of lead-end to aid initial grasping
• CPC Class Codes: Y10T 428/24463 Plural paper components

Abstract

A sheet product dispenser and method of operation is provided. The sheet product dispenser records usage data and stores the data on a storage device. A dispenser controller uses the usage data to create a model that is used to determine a predicted depletion date. The depletion date is provided as feedback to an operator to allow the operator to more efficiently dispatch maintenance personnel. In one embodiment, the feedback is in the form of a display on the front of the dispenser that displays the predicted depletion date.

Claims

1. A method of operating a sheet product dispenser, said method comprising:

dispensing a sheet product to a user by way of a mechanically or electrically operable sheet product dispenser;

recording data in machine-readable format regarding the dispensing of said sheet product;

creating a database in machine-readable format of said recorded data;

predicting at a processor-based controller a date when said sheet product supply will be depleted; and

,

displaying said date on a display panel at said sheet product dispenser.

2. The method of claim 1 further comprising the step of creating a mathematical prediction model readable by the controller to predict said depletion date based on said database of recorded data.

3. The method of claim 2 further comprising the step of recording the actual amount of sheet product remaining.

4. The method of claim 3 further comprising the step of comparing said predicted depletion date relative to said actual amount of sheet product remaining, and updating said mathematical prediction model based on said comparison of said predicted depletion date and said actual sheet product remaining.

5. The method of claim 2 further comprising the step of determining a usage trend based on said database of recorded data.

6. The method of claim 5 further comprising the step of weighting said model to predict depletion date based on said usage trend.

7. The method of claim 1 wherein said prediction of said date when said sheet product supply will be depleted is determined by regression analysis, conditional probability density analysis, statistical classification analysis, artificial neural networks, or a decision tree analysis.

8. A sheet product dispenser for dispensing a sheet product disposed therein, the dispenser comprising:

a dispenser mechanism operably coupled to dispense a predetermined amount of said sheet product;

a controller operably coupled to activate said dispenser mechanism, said controller includes a processor responsive to executable computer instructions when executed on the processor for calculating a predicted depletion date of said sheet product in response to said dispenser system being activated; and

,

a display electrically coupled to said controller.

9. The sheet product dispenser of claim 8 wherein said processor is further responsive to executable computer instructions when executed on the processor for transmitting a signal indicative of said depletion date to said display in response to said depletion date being calculated.

10. The sheet product dispenser of claim 9 further comprising a data storage device electrically coupled to said processor, wherein said processor is further responsive to executable computer instructions when executed on the processor for recording dispensing data in a machine-readable format on said data storage device in response to said dispenser mechanism being activated.

11. The sheet product dispenser of claim 10 wherein said processor is further responsive to executable computer instructions when executed on the processor for storing said dispensing data in machine-readable format in a database on said data storage device in response to said dispensing data being recorded.

12. The sheet product dispenser of claim 11 wherein said machine-readable dispensing data includes date of dispenser mechanism activation and amount of sheet product dispensed.

13. The sheet product dispenser of claim 12 wherein said depletion date is calculated using regression analysis, conditional probability density analysis, statistical classification analysis, artificial neural networks, or a decision tree analysis.

14. A sheet product dispenser comprising:

a sensor;

a housing configured to receive a supply of sheet product;

a dispensing mechanism operably coupled to said supply of sheet product and said sensor, wherein said dispensing mechanism dispenses a predetermined amount of sheet product in response to activation of said sensor;

a controller electrically coupled to said sensor and said dispensing mechanism; and

,

a data storage device electrically coupled to said controller;

wherein said controller includes a processor responsive to executable computer instructions when executed on the processor for determining a predicted depletion date of said supply of sheet product in response to said sensor being activated.

15. The sheet product dispenser of claim 14 further comprising:

a display electrically coupled to said controller; and

wherein said processor is further responsive to executable computer instructions when executed on the processor for displaying said predicted depletion date on said display in response to said predicted depletion date being determined.

16. The sheet product dispenser of claim 15 wherein said processor is further responsive to executable computer instructions when executed on the processor for recording usage data regarding usage of said sheet product dispenser in a machine-readable format in response to said sensor being activated, said usage data being stored for retrieval in a machine-readable format on said data storage device.

17. The sheet product dispenser of claim 16 wherein said processor is further responsive to executable computer instructions when executed on the processor for storing said usage data in a machine-readable format in a database on said data storage device in response to said sensor being activated.

18. The sheet product dispenser of claim 17 wherein said usage data includes dispensing date, dispensing time or amount of sheet product dispensed.

19. The sheet product of claim 18 wherein said processor is further responsive to executable computer instructions when executed on the processor for creating a mathematical prediction model for use with said determining a predicted depletion date by retrieving said usage data from said database in response to said sensor being activated.

20. The sheet product of claim 19 wherein said mathematical prediction model is based on regression analysis, conditional probability density analysis, statistical classification analysis, artificial neural networks, or a decision tree analysis.