The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history of a data acquisition unit in which the onboard card set is located. The local data collection system is configured to manage data collection bands.

As described herein, a system, method, and computer program are provided for edge management of geographically dispersed sensors. An edge device within a network accesses observations of a plurality of geographically dispersed sensors. Additionally, the edge device processes the observations to determine overlapping portions of the observations. Further, the edge device optimizes the observations to form optimized observations for transmission to a cloud processing system, wherein the optimizing is based on the determined overlapping portions of the observations.

The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first and second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Multiple inputs of the crosspoint switch include a third input connected to the second sensor and a fourth input connected to the second sensor. The first sensor signal is from a single-axis sensor at an unchanging location associated with the first machine. The second sensor is a three-axis sensor. The local data collection system is configured to record gap-free digital waveform data simultaneously from at least the first input, the second input, the third input, and the fourth input. The platform is configured to determine a change in relative phase based on the simultaneously recorded gap-free digital waveform data. The second sensor is configured to be movable to a plurality of positions associated with the first machine while obtaining the simultaneously recorded gap-free digital waveform data.

A cloud-based system for making user data available on any platform device in a platform is provided. The cloud-based system comprises a cloud storage, and at least one user profile comprising the user data. In this context, the user data comprises data with respect to at least one measurement device and/or measurement site. Additionally, the at least one user profile is saved on the cloud storage.

A brushing tracker configured to be mounted to a toothbrush has a motion sensor and a transceiver that collect and output raw motion data. The raw motion data is received by a relay and forwarded to a cloud-based remote processing system that processes the raw motion data to determine brushing adequacy based on predetermined criteria. The motion sensor and transceiver are disposed in a flexible case. An attachment band enables the brushing tracker to be affixed to a standard toothbrush for use and affixed to a different toothbrush when desired.

A sensor tag which in use will be affixed to a vehicle for obtaining vehicle telematics data includes a battery for powering the tag and a processor running executable code to process accelerometer data. An accelerometer measures the acceleration of the tag and thereby of the vehicle, and also controls the operation of the processor. A memory is used for storing a unique tag identifier of the tag and for storing trip data including information about trips and acceleration data. Finally, a communication module is used for short range wireless communication with a mobile communications device located in the vehicle via a short range wireless communications protocol, the communication module transmitting the tag's unique identifier and a sequence of time stamped acceleration data. The mobile communications device obtains GPS data, combines this with the acceleration date and transmits this to a server for analysis.

Techniques for managing static and dynamic partitions in software-defined infrastructures (SDI) are described. An SDI manager component may include one or more processor circuits to access one or more resources. The SDI manager component may include a partition manager to create one or more partitions using the one or more resources, the one or more partitions each including a plurality of nodes of a similar resource type. The SDI manager may generate an update to a pre-composed partition table, stored within a non-transitory computer-readable storage medium, including the created one or more partitions, and receive a request from an orchestrator for a node. The SDI manager may select one of the created one or more partitions to the orchestrator based upon the pre-composed partition table, and identify the selected partition to the orchestrator. Other embodiments are described and claimed.

A brushing tracker configured to be mounted to a toothbrush has a motion sensor and a transceiver that collect and output raw motion data. The raw motion data is received by a relay and forwarded to a cloud-based remote processing system that processes the raw motion data to determine brushing adequacy based on predetermined criteria. The motion sensor and transceiver are disposed in a flexible case. An attachment band enables the brushing tracker to be affixed to a standard toothbrush for use and affixed to a different toothbrush when desired.

The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history of a data acquisition unit in which the onboard card set is located. The local data collection system is configured to manage data collection bands.

A sensing system for sensing operational parameters of equipment is described. The sensing system comprises: a plurality of intelligent mounting points, a plurality of sensors, each coupled to a respective mounting point, and a data harvester coupled to the plurality of sensors. Each intelligent mounting point is located at a position on the equipment at which a measurement is to be recorded, and includes at least one equipment identification parameter and at least one sensing point parameter. The data harvester comprises: (i) a wireless transceiver for communicating with the plurality of sensors and a portable device, (ii) a network connection for communicating with a local computer coupled to a distributed control system, (iii) a memory for storing data captured by the sensors, and (iv) a processor operable to control the operation of the data harvester.