Abstract: A facility creates a dynamic gauge for indicating the status of equipment. The facility causes a gauge to be displayed with an initial satisfactory range and an initial unsatisfactory range. The facility accesses historical data describing the status of a sensor attached to equipment. The facility determines a new satisfactory range and a new unsatisfactory range, and alters the gauge to visually indicate the new satisfactory range and the new unsatisfactory range.

Abstract: A vehicle monitoring system, comprising: an interface configured to at least communicate with a controller area network bus; a remote data telecommunication interface; a database; at least one automated processor, configured to: extract information from the controller area network bus; store records in the database representing the extracted information; process the database to determine operating statistics; selectively communicate at least a portion of the database over the remote data telecommunication interface; and determine at least one of an operating parameter for the vehicle and a predicted net fuel cost based on at least the operating statistics and a fuel unit cost.

Abstract: A method of predicting, in real-time, a relationship between a vehicle's engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle's engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle's engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.

Abstract: A facility creates a dynamic gauge for indicating the status of equipment. The facility causes a gauge to be displayed with an initial satisfactory range and an initial unsatisfactory range. The facility accesses historical data describing the status of a sensor attached to equipment. The facility determines a new satisfactory range and a new unsatisfactory range, and alters the gauge to visually indicate the new satisfactory range and the new unsatisfactory range.

Abstract: A facility creates a dynamic gauge for indicating the status of equipment. The facility causes a gauge to be displayed with an initial satisfactory range and an initial unsatisfactory range. The facility accesses historical data describing the status of a sensor attached to equipment. The facility determines a new satisfactory range and a new unsatisfactory range, and alters the gauge to visually indicate the new satisfactory range and the new unsatisfactory range.

Abstract: A method of predicting, in real-time, a relationship between a vehicle's engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle's engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle's engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.

Abstract: A method of predicting, in real-time, a relationship between a vehicle's engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle's engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle's engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.

Abstract: A method of determining anomalous operation of a system includes: capturing a stream of data representing sensed (or determined) operating parameters of the system over a range of operating states, with a stability indicator representing whether the system was operating in a stable state when the operating parameters were sensed; determining statistical properties of the stream of data, including an amplitude-dependent parameter and a variance thereof over time parameter for an operating regime representing stable operation; determining a statistical norm for the statistical properties that distinguish between normal operation and anomalous operation of the system; responsive to detecting that normal and anomalous operation of the system can no longer be reliably distinguished, determining new statistical properties to distinguish between normal and anomalous system operation; and outputting a signal based on whether a concurrent stream of data representing sensed operating parameters of the system represent

Abstract: A vehicle monitoring system, comprising: an interface configured to at least communicate with a controller area network bus; a remote data telecommunication interface; a database; at least one automated processor, configured to: extract information from the controller area network bus; store records in the database representing the extracted information; process the database to determine operating statistics; selectively communicate at least a portion of the database over the remote data telecommunication interface; and determine at least one of an operating parameter for the vehicle and a predicted net fuel cost based on at least the operating statistics and a fuel unit cost.

Abstract: A method of predicting, in real-time, a relationship between a vehicle's engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle's engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle's engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.

Abstract: A vehicle monitoring system, comprising: an interface configured to at least communicate with a controller area network bus; a remote data telecommunication interface; a database; at least one automated processor, configured to: extract information from the controller area network bus; store records in the database representing the extracted information; process the database to determine operating statistics; selectively communicate at least a portion of the database over the remote data telecommunication interface; and determine at least one of an operating parameter for the vehicle and a predicted net fuel cost based on at least the operating statistics and a fuel unit cost.