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 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 are disclosed for collecting and processing non-similar data. According to certain embodiments, a first set of signals produced by a first set of sensors is received. The first set of signals is indicative of machine parameters. The machine parameters are organized by a plurality of data channels. Each of the plurality of data channels is associated with a distinct characteristic. A second set of signals produced by a second set of sensors is also received. The second set of signals is indicative of location information associated the machine and corresponding timestamps. The machine parameters, location information, and timestamps are received at a server. The machine parameters, location information, and timestamps are merged into a table. In the table, the machine parameters may be aggregated according to at least one of corresponding data channel, timestamp, and machine ID. A request from a user for information from the table is received. Then the information is output to the user.

Abstract: A distributed worksite data management system is provided. The system includes a plurality of machines, each having a data communication device and a controller on-board the machine. The controller is configured to read sensor data associated with the machine and transmit the sensor data to the data communication device. A worksite datacenter is accessible by the plurality of machines. The worksite datacenter is situated remotely from the worksite. The worksite datacenter includes a plurality of databases and application servers. An end user device is associated with the plurality of machines. The end user device is configured to visualize results of an execution of an application of the controller.