Abstract: A distributed data mining system and method for determining root cause of problems associated with a MFD cloud. The MFD cloud may be configured to include a fleet of networked MFDs within an enterprise firewall to perform data analytics in real time. High frequency data with describing the state of each MFD can be captured and stored locally in a file system (distributed or not). The high frequency data may be acquired at regular intervals and/or in response to a specific event with a much higher cadence and finer granularity than currently practiced. A distributed data mining module associated with the enterprise firewall may then continuously analyze the data stored within the cloud to identify actual, pending or, difficult to detect problems based on available computational cycles of idle MFDs in the network. The data associated with the problems may then be securely transmitted to a back-end unit to verify and propagate the results of the analysis of the problems more rapidly.

Abstract: A distributed data mining system and method for determining root cause of problems associated with a MFD cloud. The MFD cloud may be configured to include a fleet of networked MFDs within an enterprise firewall to perform data analytics in real time. High frequency data with describing the state of each MFD can be captured and stored locally in a file system (distributed or not). The high frequency data may be acquired at regular intervals and/or in response to a specific event with a much higher cadence and finer granularity than currently practiced. A distributed data mining module associated with the enterprise firewall may then continuously analyze the data stored within the cloud to identify actual, pending or, difficult to detect problems based on available computational cycles of idle MFDs in the network. The data associated with the problems may then be securely transmitted to a back-end unit to verify and propagate the results of the analysis of the problems more rapidly.

Abstract: A method of dispatching a service call for an electromechanical device, such as a document production device, is disclosed. The method includes receiving, by a dispatching server, a communication requesting service on a first document production device. The communication includes a unique identifier corresponding to the first device. A data server stores operational history data for a multiple document production devices, and the dispatching server accesses the operational history data in the data server to retrieve service data for the first device. The dispatching service sends a service order message to a customer service representative mobile communication device. The service order message includes a location identifier for the first device, operator contact information for the first device, and the service data.

Abstract: A method for diagnosing a device malfunction includes receiving a request for repair from an electromechanical device, wherein the request includes identification of the malfunctioning device, data related to the configuration and state of the device, information on the level of access to the device, and a description of the device malfunction. A repair analysis procedure may be automatically selected based on the information received, and at least one automated test may be executed. The repair analysis procedure may be represented by a diagnostics tree having a plurality of nodes, where each node may include different numbers of tests. The tests may include the download of software to the device. Results from the test or tests may be used to move through the diagnostics tree and modify or update the repair analysis procedure. An instruction to resolve the malfunction may then be deployed to the device.