Reported is on the development and test of an integrated structural health monitoring and reporting (SHMR) system for use on Navy aircraft. The goal was to develop and test a versatile, fully programmable SHMR system, designed to synchronize and record data from a range of wireless and hard wired sensor and active RFID networks. Wireless sensors include strain gauges, accelerometers, and load/torque cells. Data were collected at multiple sampling rates and time stamped and aggregated within a single scalable database on a base station, termed the wireless sensor data aggregator (WSDA). The WSDA, in addition to providing a central location for collecting data, also provided a beaconing capability to synchronize each sensor node's embedded precision timekeeper. High speed wireless sensor nodes were demonstrated to be capable of data logging at sample rates of up to 50 K samples/second, while consuming nearly equal 9 milliamps at 3 VDC (27 milliwatts). The high sample rate nodes can operate perpetually, without batteries, by using miniature vibration energy harvesters, which provided 37 milliwatts of continuous DC power under conditions replicating a helicopter gearbox. Scalable networks of RFID nodes with > 20 years coin cell battery life were also demonstrated. Wireless node network initial synchronization in response to a centrally broadcast network command, such as to initiate node sampling, or to synchronize node time keepers, was measured at +/- 4 microseconds. With the time synchronization beacon sent only at the onset of a two hour long test, and with simultaneous exposure to temperatures of -40 to +85 deg C, the system's timing accuracy was nearly equal 5 milliseconds. The system was demonstrated to be capable of supporting both high sample rate burst and periodic sampling modes, with accurate wireless network timing synchronization.


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    Title :

    Synchronized system for wireless sensing, RFID, data aggregation, & remote reporting


    Additional title:

    Synchronisiertes System für Funkmessung, Hochfrequenzkennzeichnung, Datenaggregation und Fernmeldung




    Publication date :

    2009


    Size :

    7 Seiten, 8 Bilder, 5 Tabellen, 7 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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