Abstract:
Methods and systems for simplifying data collected from assets are provided. An example method involves receiving a simplified set of data at a server. The simplified set of data is generated by application of a dataset simplification algorithm on raw data obtained from a data source at an asset upon a determination that a recently obtained point in the raw data differed from a corresponding predicted point predicted by extrapolation based on previously saved points included in one or more previously generated simplified sets of data by an amount of extrapolation error that is limited by an upper bound that is fixed as the raw data is collected over time. The method further involves receiving a request for a status of the asset and extrapolating a status of the asset based on the simplified set of data in response to the request.
Abstract:
Methods and systems for simplifying data collected from assets are provided. An example method involves receiving a set of simplified data at a server. The simplified set of data is generated by application of a dataset simplification algorithm on raw data obtained from a data source at an asset upon satisfaction of a data logging trigger, wherein the dataset simplification algorithm causes interpolation error within the simplified set of data to be limited by an upper bound that is fixed across the simplified set of data. The method further involves receiving a request for a status of the asset and interpolating a status of the asset based on the simplified set of data in response to the request.
Abstract:
The present invention discloses a telemetry wireless beacon data fleet management condition determination method. The method comprises the steps of providing at least access to first data that identifies and associates beacon unique identifiers with objects, and providing at least access to second data of threshold values and limits associated with beacon data. The method further comprises providing access to a preprocessing telemetry log of telemetry data and determining each object located with a vehicle. Said determining each object located with a vehicle comprises identifying each beacon unique identifier disposed with an initial vehicle location, and identifying each beacon unique identifier disposed with a second vehicle location, wherein said second vehicle location is determined by one of a speed, distance, location or geofence, and wherein said identifying each beacon unique identifier disposed with a second vehicle location determines an accurate number of objects disposed with a vehicle.
Abstract:
The present invention discloses a telemetry wireless beacon data preprocessing method. The method comprises the steps of accessing a log of telemetry data which telemetry data include data and beacon data, and translating said data into at least one of engine codes, G forces, and map locations. For each unique identifier in said beacon data, said beacon data are translated into at least one of a beacon temperature, beacon pressure, beacon light, or beacon user defined sensor reading. The method further comprises the step of storing a preprocessing telemetry log of said telemetry data for fleet management condition processing.
Abstract:
The present invention discloses telemetry wireless beacon devices, a telemetry wireless beacon data monitoring and logging method, a telemetry wireless beacon data pre-processing method and a telemetry wireless beacon data fleet management condition determination method which devices and methods are for application in vehicular telemetry systems.
Abstract:
The present invention discloses telemetry wireless beacon devices, a telemetry wireless beacon data monitoring and logging method, a telemetry wireless beacon data pre-processing method and a telemetry wireless beacon data fleet management condition determination method which devices and methods are for application in vehicular telemetry systems.
Abstract:
Systems and storage media containing instructions for asset tracking are provided. An example system includes a server and an asset tracking device onboard an asset. The asset tracking device to receive raw data pertaining to the asset, determine a dynamic group of carry-over data points, derived from the raw data, to be used in the performance of a dataset simplification algorithm on the raw data, perform the dataset simplification algorithm on a set of data that contains the raw data and the dynamic group of carry-over data points to determine one or more data points in the set of data to be recorded, and transmit the recorded data points to the server.
Abstract:
Methods and devices for asset tracking are provided. An example method involves obtaining a stream of raw data, adding data points from the stream of raw data to a data buffer in a first cycle of data, performing a dataset simplification algorithm on the first cycle of data to determine whether one or more data points from the first cycle of data are to be recorded, preparing the data buffer for a second cycle of data, including determining a group of carry-over data points to be included in the second cycle of data, and continuing to add data points from the stream of raw data to the data buffer in the second cycle of data.