Abstract: Multiple communication modules are used in communicating image data from an image capture device at a vehicle. Telematic data is communicated to a management server via a telematics device. An event is detected based on the telematic data. The management server requests image data from the image capture device corresponding to the event. The image capture device activates and transmits the requested image data via its own communication module in response to the request. In this way, regular, minimalistic communication is performed via the telematics device, but major data communication is performed directly by the image capture device.

Abstract: Multiple communication modules are used in communicating image data from an image capture device at a vehicle. Telematic data is communicated to a management server via a telematics device. An event is detected based on the telematic data. The management server requests image data from the image capture device corresponding to the event. The image capture device activates and transmits the requested image data via its own communication module in response to the request. In this way, regular, minimalistic communication is performed via the telematics device, but major data communication is performed directly by the image capture device.

Abstract: Multiple communication modules are used in communicating image data from an image capture device at a vehicle. Telematic data is communicated to a management server via a telematics device. An event is detected based on the telematic data. The management server requests image data from the image capture device corresponding to the event. The image capture device activates and transmits the requested image data via its own communication module in response to the request. In this way, regular, minimalistic communication is performed via the telematics device, but major data communication is performed directly by the image capture device.

Abstract: Multiple communication modules are used in updating firmware at a peripheral device. A peripheral device firmware version is communicated to a management server via a telematics device. An access location for updated firmware is communicated from the management server to the peripheral device via the telematics device. The peripheral device accesses and downloads the updated firmware via a long-range communication module, not via the telematics device. In this way, regular, minimalistic communication is performed via the telematics device, but major data communication is performed directly by the peripheral device.

Abstract: Multiple communication modules are used in updating firmware at a peripheral device. A peripheral device firmware version is communicated to a management server via a telematics device. An access location for updated firmware is communicated from the management server to the peripheral device via the telematics device. The peripheral device accesses and downloads the updated firmware via a long-range communication module, not via the telematics device. In this way, regular, minimalistic communication is performed via the telematics device, but major data communication is performed directly by the peripheral device.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of faults, determine a priority level for each fault by applying the extracted feature data to a predictive model, determine at least one high priority fault, and generate at least one operator alert based on the at least one high priority fault.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Abstract: Systems and methods for evaluating configuration changes on a machine in a manufacturing line are provided. The machine is controlled by a PLC that stores a plurality of parameters associated with the machine. The method involves operating one or more processors to: obtain, from the PLC, a plurality of first parameter values corresponding to the plurality of parameters stored at the PLC at a first time and a plurality of second parameter values corresponding to the plurality of parameters stored at the PLC at a second time; determine a plurality of parameter value differences; identify a plurality of configuration parameters from the plurality of parameters based on the plurality of parameter value differences, each configuration parameter corresponding to a user-manipulatable parameter associated with controlling the machine; and store a plurality of first configuration parameter values in association with a first timestamp corresponding to the first time.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of cell configurations, determine an efficiency score by applying the feature data to a predictive model generated for predicting a production level of the manufacturing assembly line, determine at least one target cell configuration from the cell configurations based on the efficiency score, and apply the at least one target cell configuration to at least one cell by implementing each target cell configuration to a corresponding cell.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data and line production data, determine one or more production associations between the cell data and the line production data; evaluate the one or more production associations to identify one or more critical production associations; retrieve the cell data and the line production data associated with the one or more critical production associations; and train a predictive model with the retrieved cell data and the retrieved line production data to predict the production level of the manufacturing assembly line.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of faults, determine a priority level for each fault by applying the extracted feature data to a predictive model, determine at least one high priority fault, and generate at least one operator alert based on the at least one high priority fault.

Abstract: Various systems and methods for modeling a manufacturing assembly line are disclosed herein. Some embodiments relate to operating a processor to receive cell data, extract feature data from the cell data, determine a plurality of cell configurations, determine an efficiency score by applying the feature data to a predictive model generated for predicting a production level of the manufacturing assembly line, determine at least one target cell configuration from the cell configurations based on the efficiency score, and apply the at least one target cell configuration to at least one cell by implementing each target cell configuration to a corresponding cell.

Abstract: A system and method for managing automation stations having one or more pieces of automation equipment in an automation environment. The system includes: a plurality of data collection devices configured to collect data related to a plurality of actuations performed by at least one automation station based on data collection criteria; and at least one processing module in communication with the plurality of data collection devices and configured to aggregate and analyze the collected data to detect one or more statistical anomalies, wherein the processing module determines an adjustment to the at least one automation station or the automation environment to address the statistical anomaly and implements the adjustment.