Abstract: A system and method for tracking activity of a plurality of machines can comprise identifying at least one work segment of a smart machine based on sensor data from one or more sensors of the smart machine; and identifying at least one work segment of each of a plurality of non-smart machines based on the identified at least one work segment of the smart machine and location data transmitted from the non-smart machine. The identified at least one work segment of the smart machine can be identified in association a first location at a worksite. The at least one work segment of each of the non-smart machines can be identified when the non-smart machine is within a predetermined distance of the first location associated with the identified at least one work segment of the smart machine.

Abstract: A system and method for tracking activity of a plurality of machines can comprise identifying at least one work segment of a smart machine based on sensor data from one or more sensors of the smart machine; and identifying at least one work segment of each of a plurality of non-smart machines based on the identified at least one work segment of the smart machine and location data transmitted from the non-smart machine. The identified at least one work segment of the smart machine can be identified in association a first location at a worksite. The at least one work segment of each of the non-smart machines can be identified when the non-smart machine is within a predetermined distance of the first location associated with the identified at least one work segment of the smart machine.

Abstract: A system for remote monitoring of a machine is provided. The system includes a data store to store machine data associated with an operation of the machine. The system includes an analyzer comprising a plurality of analytics engines to analyze the machine data. The analyzer selects one or more analytics engines based at least on one of machine data and a type of the machine. The analyzer is further configured to analyze machine data using the selected one or more analytics engines and to determine a plurality of exceptions. The system includes a rules engine to process at least two of the plurality of exceptions and determine a smart exception, wherein the smart exception is a hierarchical combination of the at least two of the plurality of exceptions. The system includes an interface to display a notification to a user in the event of a smart exception.

Abstract: A system for remote monitoring of a machine is provided. The system includes a data store to store machine data associated with an operation of the machine. The system includes an analyzer comprising a plurality of analytics engines to analyze the machine data. The analyzer selects one or more analytics engines based at least on one of machine data and a type of the machine. The analyzer is further configured to analyze machine data using the selected one or more analytics engines and to determine a plurality of exceptions. The system includes a rules engine to process at least two of the plurality of exceptions and determine a smart exception, wherein the smart exception is a hierarchical combination of the at least two of the plurality of exceptions. The system includes an interface to display a notification to a user in the event of a smart exception.