Predicting remaining useful life for a consumable using a weighted least square regression prediction technique
US-9134675-B2 · Sep 15, 2015 · US
US10079944B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10079944-B2 |
| Application number | US-201715785132-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 16, 2017 |
| Priority date | Mar 25, 2016 |
| Publication date | Sep 18, 2018 |
| Grant date | Sep 18, 2018 |
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Methods and apparatus for predicting colorant usage by printing devices are provided. A prediction server can receive a request to predict colorant usage for a first printing device. The prediction server can determine first plurality of functions to predict colorant usage for the first printing device. The first plurality of functions can include at least one linear function and at least one non-linear function. The first plurality of functions can be based on colorant-usage rates indicating historical rates of change in colorant used by the first printing device. The prediction server can determine a prediction of colorant usage for the first printing device using the first plurality of functions. The prediction server can provide an output involving the prediction of colorant usage for the first printing device, where the prediction of colorant usage can include a confidence interval related to the prediction.
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What is claimed is: 1. A method for predicting printer device colorant usage, the method comprising: receiving, at a prediction server, a request to predict colorant usage for a first printing device; determining, at the prediction server, a first plurality of functions to predict colorant usage for the first printing device, wherein the first plurality of functions comprise at least one linear function and a plurality of non-linear functions, wherein the first plurality of functions are based on one or more colorant-usage rates that indicate historical rates of change in colorant used by a plurality of printing devices that include the first printing device, and wherein determining the at least one non-linear function includes i) analyzing historical rates of change in colorant used by the plurality of printing devices, and ii) determining a pre-determined number of periodic components of the historical rates of change; determining, at the prediction server, a prediction of colorant usage for the first printing device using the first plurality of functions based on combining an estimate of the at least one linear function; and providing an output of the prediction server involving the prediction of colorant usage for the first printing device comprising an estimated time before replacing colorant for the first printing device, wherein the prediction of colorant usage further comprises a confidence interval indicating a range of time related to the estimated time before replacing colorant for the first printing device. 2. The method of claim 1 , wherein the pre-determined number of periodic components comprises one or more of a weekly periodic component related to weekly usage of the first printing device, a monthly periodic component related to monthly usage of the first printing device, and a yearly periodic component related to yearly usage of the first printing device. 3. The method of claim 2 , the pre-determined number of periodic components comprises the weekly periodic component, the monthly periodic component, and the yearly periodic component. 4. The method of claim 1 , further comprising: receiving, at the prediction server, information about usage of the first printing device, the information about usage comprising a first number-of-pages value related to a number of pages printed by the first printing device during a first time interval and a first colorant-level value related to an amount of colorant available to the first printing device at a particular time within the first time interval. 5. The method of claim 4 , wherein the one or more colorant-usage rates comprise a first colorant-usage rate, and wherein determining the first plurality of functions comprises: determining the first colorant-usage rate for the first time interval based on the first colorant-level value; determining whether the first colorant-usage rate is within a distribution of colorant-usage rate values; and after determining that the first colorant-usage rate is within the distribution of colorant-usage rate values, determining the at least one linear function based on the first colorant-usage rate. 6. The method of claim 5 , wherein the distribution of colorant-usage rate values comprises a colorant-usage-per-page rate that is based on one or more colorant-level values and one or more number-of-pages values. 7. The method of claim 4 , wherein the information about usage of the first printing device comprises a plurality of number-of-pages values for the first printing device, and wherein determining the first plurality of functions comprises determining the at least one non-linear function based upon application of a regression technique to the plurality of number-of-pages values. 8. The method of claim 1 , wherein the first plurality of functions comprises a function related to maintenance performed on the first printing device. 9. The method of claim 1 , wherein the first plurality of functions comprises a function related to colorant capacity of the first printing device. 10. The method of claim 1 , wherein the output of the prediction server comprises a prediction of a number of days before colorant replacement for the first printing device. 11. The method of claim 10 , wherein the confidence interval comprises a range of days related to the prediction of the number of days before colorant replacement for the first printing device. 12. The method of claim 1 , wherein determining the first plurality of functions comprises: obtaining current usage data from the first printing device, the current usage data comprising data related to toner usage by the first printing device; and determining historical usage data for the first printing device based on the current usage data, wherein the historical usage data comprises at least one colorant-usage rate of the one or more colorant-usage rates. 13. A prediction server, comprising: one or more processors; and data storage configured to store computer-readable instructions that, when executed by the one or more processors, cause the prediction server to perform tasks comprising: receiving, a request to predict colorant usage for a first printing device; determining a first plurality of functions to predict colorant usage for the first printing device, wherein the first plurality of functions comprise at least one linear function and a plurality of non-linear functions, wherein the first plurality of functions are based on one or more colorant-usage rates that indicate historical rates of change in colorant used by a plurality of printing devices that include the first printing device, and wherein determining the at least one non-linear function includes i) analyzing historical rates of change in colorant used by the plurality of printing devices, and ii) determining a pre-determined number of periodic components of the historical rates of change; determining a prediction of colorant usage for the first printing device using the first plurality of functions based on combining an estimate of the at least one of linear function; and providing an output involving the prediction of colorant usage for the first printing device comprising an estimated time before replacing colorant for the first printing device without replacement, wherein the prediction of colorant usage further comprises a confidence interval indicating a range of time related to the estimated time before replacing colorant for the first printing device. 14. The prediction server of claim 13 , wherein the pre-determined number of periodic components comprises one or more of a weekly periodic component related to weekly usage of the first printing device, a monthly periodic component related to monthly usage of the first printing device, and a yearly periodic component related to yearly usage of the first printing device. 15. The prediction server of claim 14 , the pre-determined number of periodic components comprises the weekly periodic component, the monthly periodic component, and the yearly periodic component. 16. The prediction server of claim 13 , wherein the tasks further comprise: receiving information about usage of the first printing device, the information about usage comprising a first number-of-pages value related to a number of pages printed by the first printing device during a first time interval and a first colorant-level value related to an amount of colorant available to the first printing device at a particular time within the first time interval. 17. The prediction server of claim 16 , wherein the one or more colorant-usage rates comprise a first
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