Automated performance analysis and failure remediation

• US 7,421,371 B2
• Filed: 01/25/2006
• Issued: 09/02/2008
• Est. Priority Date: 01/26/2005
• Status: Active Grant

• Current Assignee: Océ-Technologies B.V. (Canon Inc.)
• Original Assignee: Océ-Technologies B.V. (Canon Inc.)
• Inventors: Wang, Lu, Morskate, Anita C., Segers, Erwin J. M.
• Primary Examiner(s): Wachsman; Hal D
• Application Number:
  US11/338,687
• Publication Number:
  US 20060168475A1
• Time in Patent Office: 951 Days
• Field of Search: 702/183, 702/184, 702/185, 702/187
• US Class Current: 702/183
• CPC Class Codes: G06F 11/0733 in a data processing system embedded in an image processing device, e.g. printer, facsimile, scanner
• CPC Class Codes: G06F 11/0748 in a remote unit communicating with a single-box computer node experiencing an error/fault remote testing G06F11/2294
• CPC Class Codes: G06F 11/079 Root cause analysis, i.e. error or fault diagnosis in a hardware test environment G06F11/22; in a software test environment G06F11/36
• CPC Class Codes: G06F 11/0793 Remedial or corrective actions recovery from an exception in an instruction pipeline G06F9/3861; by retry G06F11/1402; for recovering from a failure of a protocol instance or entity H04L69/40
• CPC Class Codes: G06F 11/2294 by remote test

Abstract

A service diagnosis tool for performance analysis and failure remediation of electromechanical devices, e.g. printers or copiers. The tool communicates with an actual device of a specific type, and accesses data from a knowledge data set containing knowledge relating to properties of devices of the specific type, a device data set and a history data set. The device data set contains parameters of the actual device, including actual error data indicating errors that occurred in an actual period. The historical data includes historical error data of the actual device relating to errors, performance and/or remediation that occurred before the actual period. The tool has a calculation unit for analyzing and combining data from the data sets for generating a prioritized item list indicative of remedial steps to be executed. The items in the list relate to performance and/or failure of the actual device, and are organized according to priority rules.

Claims

1. A system for diagnosis of electromechanical devices of at least one predefined type, the system comprising:

a communication unit that communicates with an actual device of the at least one predefined type;

a unit that accesses a knowledge data set containing knowledge relating to properties of devices of the at least one predefined type;

a unit that accesses a device data set containing parameters of the actual device, the parameters including actual error data indicating errors that occurred in an actual period;

a unit that accesses a history data set containing historical data of the actual device, the historical data including at least one of historical error data relating to errors, performance data relating to performance analysis and remediation data relating to failure remediation that occurred before the actual period;

a calculation unit that analyzes and combines data from at least one of the knowledge, device and history data sets for generating a prioritized item list indicative of remedial steps to be executed, the items relating to at least one of performance and failure of the actual device, and being prioritized according to priority rules; and

a systematic error analysis unit connected to the calculation unit that systematically detects trends or patterns in the actual and historical error data,

wherein the systematic error analysis unit is arranged for detecting at least one trend of the actual device by comparing relative error values calculated from the actual and historical error data, and the calculation unit is arranged for including a trend item in the prioritized item list when the at least one trend exceeds a predetermined threshold.

2. The system as claimed in claim 1, wherein the calculation unit is arranged for generating the prioritized item list according to the priority rules by including symptoms and corresponding actions, the symptoms being selected according to an amount of affect the symptoms have on the performance of the actual device.

3. The system as claimed in claim 1, wherein the calculation unit is arranged for generating the prioritized item list subdivided into categories according to the priority rules.

4. The system as claimed in claim 3, wherein the categories comprise at least one of an error category, a maintenance category, a modification category, and a quality category.

5. The system as claimed in claim 1, wherein the systematic error analysis unit is arranged for detecting at least one pattern of the actual device based on relative error values calculated from at least the actual error data compared to at least one reference value based on the knowledge relating to properties of devices of the at least one predefined type, and the calculation unit is arranged for including a pattern item in the prioritized item list when the at least one pattern exceeds a predetermined threshold.

6. The system as claimed in claim 1, wherein the calculation unit is arranged for setting the priority of an item in the prioritized item list according to priority rules by combining, for a selected error type, said detected at least one trend and said detected at least one pattern.

7. The system as claimed in claim 1, wherein the calculation unit is arranged for setting the priority of an item in the prioritized item list according to priority rules by adjusting the priority, for a selected error type, in dependence of a number of activities executed by the electromechanical device in the actual period.

8. The system as claimed in claim 1, wherein the calculation unit is arranged for setting the priority of an item in the prioritized item list according to priority rules by adjusting the priority, for a selected error type, in dependence on determining if the actual and historical error data comprises incidents, in a particular case by classifying errors as incidents if a relatively small number of intervals that constitute the actual period contains at least one error.

9. The system as claimed in claim 1, further comprising a diagnostic unit that performs diagnostic procedures by controlling the actual device via the communication unit.

10. The system as claimed in claim 1, wherein the calculation unit is arranged for including replacement parts in the prioritized item list related to the remedial steps.

11. The system as claimed in claim 1, wherein the calculation unit is arranged for including remedial data in the prioritized item list related to the remedial steps that have been executed.

12. The system as claimed in claim 1, wherein the unit that accesses the history data set is arranged for including the prioritized item list in the history data set.

13. A method for diagnosis of electromechanical devices of at least one predefined type, the method comprising the steps of:

communicating with an actual device of the at least one predefined type;

accessing a knowledge data set containing knowledge relating to properties of devices of the at least one predefined type;

accessing a device data set containing parameters of the actual device, the parameters including actual error data indicating errors that occurred in an actual period;

accessing a history data set containing historical data of the actual device, the historical data including at least one historical error data relating to errors, performance data relating to performance analysis and remediation data relating to failure remediation that occurred before the actual period; and

analyzing and combining data from at least one of the knowledge, device and history data sets for generating a prioritized item list indicative of remedial steps to be executed, the items relating to at least one of performance or failure of the actual device, and being prioritized by applying priority rules,

wherein said step of analyzing comprises systematic error analysis for systematically detecting trends or patterns in at least one of the actual and historical error data, and

wherein the systematic error analysis comprises detecting at least one trend of the actual device by comparing relative error values calculated from the actual and historical error data, and said step of generating comprises including a trend item in the prioritized item list when the at least one trend exceeds a predetermined threshold.

14. The method as claimed in claim 13, wherein said step of generating the prioritized item list according to the priority rules comprises including symptoms and corresponding actions, the symptoms being selected according to an amount of affect the symptoms have on the performance of the actual device.

15. The method as claimed in claim 13, wherein the systematic error analysis comprises detecting at least one pattern of the actual device based on relative error values calculated from at least the actual error data compared to at least one reference value based on the knowledge relating to properties of devices of the at least one predefined type, and said step of generating comprises including a pattern item in the prioritized item list when the at least one pattern exceeds a predetermined threshold.

16. The method as claimed in claim 13, wherein said step of generating comprises setting the priority of an item in the prioritized item list according to priority rules by combining, for a selected error type, said detected at least one trend and said detected at least one pattern.

17. The method as claimed in claim 13, wherein said step of generating comprises including remedial data in the prioritized item list related to the remedial steps that have been executed.

18. The method as claimed in claim 13, wherein said step of accessing the history data set comprises including the prioritized item list in the history data set.

19. The method as claimed in claim 13, including a preliminary step of storing at least said knowledge data set containing knowledge relating to properties of devices of the at least one predefined type in a portable data storage medium for connection to the actual device.

20. The method as claimed in claim 13, wherein said step of communicating with the actual device includes connecting a portable data storage medium to the actual device, the portable data storage medium containing at least said knowledge data set containing knowledge relating to properties of devices of the at least one predefined type.

21. The method as claimed in claim 20, wherein in reaction to connection of said portable data storage medium, the actual device automatically enters a diagnosis mode wherein said steps of accessing data sets and of analyzing and combining are performed.

22. A computer program product embodied on a computer readable medium readable by a processor for diagnosis of electromechanical devices of at least one predefined type, said program product including computer executable instructions executable by the processor to perform the steps of:

communicating with an actual device of the at least one predefined type;

accessing a knowledge data set containing knowledge relating to properties of devices of the at least one predefined type;

accessing a device data set containing parameters of the actual device, the parameters including actual error data indicating errors that occurred in an actual period;

accessing a history data set containing historical data of the actual device, the historical data including at least one historical error data relating to errors, performance data relating to performance analysis and remediation data relating to failure remediation that occurred before the actual period; and

analyzing and combining data from at least one of the knowledge, device and history data sets for generating a prioritized item list indicative of remedial steps to be executed, the items relating to at least one of performance or failure of the actual device, and being prioritized by applying priority rules,

wherein said step of analyzing comprises systematic error analysis for systematically detecting trends or patterns in at least one of the actual and historical error data, and

wherein the systematic error analysis comprises detecting at least one trend of the actual device by comparing relative error values calculated from the actual and historical error data, and said step of generating comprises including a trend item in the prioritized item list when the at least one trend exceeds a predetermined threshold.

23. An electromechanical device of at least one predefined type, comprising a diagnosis system, the system comprising:

a unit that accesses a knowledge data set containing knowledge relating to properties of devices of the at least one predefined type;

a unit that accesses a device data set containing parameters of the electromechanical device, the parameters including actual error data indicating errors that occurred in an actual period;

a unit that accesses a history data set containing historical data of the electromechanical device, the historical data including at least one of historical error data relating to errors, performance data relating to performance analysis and remediation data relating to failure remediation that occurred before the actual period; and

a calculation unit that analyzes and combines data from at least one of the knowledge, device and history data sets for generating a prioritized item list indicative of remedial steps to be executed, the items relating to at least one of performance and failure of an actual device, and being prioritized by applying priority rules; and

a systematic error analysis unit connected to the calculation unit that systematically detects trends or patterns in the actual and historical error data,

wherein the systematic error analysis unit is arranged for detecting at least one trend of the electromechanical device by comparing relative error values calculated from the actual and historical error data, and the calculation unit is arranged for including a trend item in the prioritized item list when the at least one trend exceeds a predetermined threshold.

24. The device as claimed in claim 23, wherein the device is a digital sheet processing apparatus for processing sheet documents, the apparatus comprising at least one of a printer unit and a scanner unit.

25. The device as claimed in claim 24, wherein the device comprises a user interface that includes a user operable command for activating the diagnosis system.

26. The device as claimed in claim 23, wherein the device comprises an interface for a portable data storage medium including at least the knowledge data set containing knowledge relating to properties of devices of the at least one predefined type.

27. The device as claimed in claim 26, including a device that automatically senses a connection being made with a portable data storage medium having stored therein data for diagnosis of the electromechanical device, and in reaction automatically activating the diagnosis system.

28. The device as claimed in claim 26, including a device that automatically senses a connection being made with a portable data storage medium and thereupon automatically checking authorization data stored therein.