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.

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 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.

A method collects data in a network having a consumption meter as part of a supply network and containing a sensor. The sensor contains a measuring element which provides raw measurement data corresponding to a physical or physicochemical value or parameter. The sensor contains a communication device and a memory. For the determination of the measurement resolution of the sensor the conditions for generating time stampings using a correlation model are determined in advance. On a basis of the correlation model, time stampings of successive raw measurement data in the sensor are generated, the time stampings are stored in the memory. The time stampings are transmitted over a wired connection and/or a radio link so that on the basis of the time stampings using the correlation model the raw measurement data collected by the measuring element are reconstructed and evaluated. Whereas raw measurement data is used for on-demand network analysis.

A telemetry processing system in a cluster network receives telemetry data from a plurality of telemetry producers and formats it into a structured format for storage in a datastore. One or more consumers subscribe to receive respective data of the telemetry data at a particular reception frequency, such as once per day or week, etc. A selected transport interface transmits the appropriate telemetry datasets to subscribed consumers according to their selected schedule to allow telemetry producer to collect telemetry data in tune with consumer schedules.