Abstract: Systems and methods for analyzing and optimizing worksite operations based on video and or audio data are disclosed. One method includes receiving one or more models relating to a worksite, receiving first sensor data associated with the machine at the worksite, receiving second sensor data associated with an operation of the machine at the worksite, wherein the second sensor data is sourced from a sensor that is different from a sensor sourcing the first sensor data, determining, by the one or more processors, a machine state based at least on the first data and the second data, comparing the determined machine state to a modeled machine state represented by the received one or more models to classify site operations and/or detect an irregularity in site operations or an inefficiency in site operations, and generating a response based at least on the detected irregularity or inefficiency.

Abstract: Systems and methods for managing and optimizing mixed fleet worksite operations based on video and or audio data are disclosed. One method includes receiving one or more models relating to a fleet of machines at the worksite, wherein the fleet of machines comprises an in-network machine and an out-of-network machine, receiving first sensor data associated with the out-of-network machine at the worksite, receiving second sensor data associated with the in-network machine at the worksite, determining a machine state of each of the in-network machine and the out-of-network machine based at least on the first sensor data and the second sensor data, comparing the determined machine states to a modeled machine state represented by the received one or more models to classify site operations and/or detect an irregularity in site operations or an inefficiency in site operations, and generating a response based at least on the detected irregularity or inefficiency.

Abstract: Systems and methods for optimizing worksite operations based on operator conditions are disclosed. One method includes receiving first data including one or more of a worksite model and information relating to actual operation of a worksite, wherein the worksite model includes a simulated operation of a machine associated with the worksite. Second data may be received, the second data associated with an operator of a machine at the worksite and including one or more of nutritional data, health data, and sleep data. An operation state may be determined based at least on the first data and the second data. A response may be generated based at least on the determined operation state.

Abstract: Systems and methods for analyzing and optimizing worksite operations based on video and or audio data are disclosed. One method includes receiving one or more models relating to a worksite, receiving first sensor data associated with the machine at the worksite, receiving second sensor data associated with an operation of the machine at the worksite, wherein the second sensor data is sourced from a sensor that is different from a sensor sourcing the first sensor data, determining, by the one or more processors, a machine state based at least on the first data and the second data, comparing the determined machine state to a modeled machine state represented by the received one or more models to classify site operations and/or detect an irregularity in site operations or an inefficiency in site operations, and generating a response based at least on the detected irregularity or inefficiency.

Abstract: Systems and methods for managing and optimizing mixed fleet worksite operations based on video and or audio data are disclosed. One method includes receiving one or more models relating to a fleet of machines at the worksite, wherein the fleet of machines comprises an in-network machine and an out-of-network machine, receiving first sensor data associated with the out-of-network machine at the worksite, receiving second sensor data associated with the in-network machine at the worksite, determining a machine state of each of the in-network machine and the out-of-network machine based at least on the first sensor data and the second sensor data, comparing the determined machine states to a modeled machine state represented by the received one or more models to classify site operations and/or detect an irregularity in site operations or an inefficiency in site operations, and generating a response based at least on the detected irregularity or inefficiency.

Abstract: Systems and methods for visually reviewing worksite operations using a time-shift controlled visualization of the worksite are disclosed. One method includes receiving first data including one or more of a worksite model and information relating to operation of a worksite, where the worksite model includes a simulated operation of a machine associated with the worksite. Visualization information may be generated that represents at least a portion of the first data. A visualization may be generated based at least on the visualization information and a view of the worksite.

Abstract: Systems and methods for optimizing worksite operations based on operator conditions are disclosed. One method includes receiving first data including one or more of a worksite model and information relating to actual operation of a worksite, wherein the worksite model includes a simulated operation of a machine associated with the worksite. Second data may be received, the second data associated with an operator of a machine at the worksite and including one or more of nutritional data, health data, and sleep data. An operation state may be determined based at least on the first data and the second data. A response may be generated based at least on the determined operation state.

Abstract: A process of enabling and providing a service for improving haulage efficiency in a haulage system includes identifying a customer who may benefit from the service. Haulage vehicles of a fleet of haulage vehicles are equipped with a system for monitoring haulage parameters of the haulage vehicles. Equipment for gathering data on the monitored haulage parameters and for gathering information on haulage vehicle location along haul roads is provided. Target haulage parameters which result in desired haulage system performance are determined. The data is analyzed and deviations of actual haulage system performance from desired haulage system performance are determined.