The deep understanding on sand and sand dunes scale can be useful to reveal the formation mechanism
of the sandstorm for early sandstorm forecast. The current sandstorm observation methods are mainly based
on conventional meteorological station and satellites remote sensing, which are difficult to acquire sand scale
information. A wireless sensing network is implemented in the hinterland of desert, which includes ad hoc network,
sensor, global positioning system (GPS) and system integration technology. The wireless network is a three-layer
architecture and daisy chain topology network, which consists of control station, master robots and slave robots.
Every three robots including one master robot and its two slave robots forms an ad hoc network. Master robots
directly communicate with radio base station. Information will be sent to remote information center. Data
sensing system including different kinds of sensors and desert robots is developed. A desert robot is designed and
implemented as unmanned probing movable nodes and sensors’ carrier. A new optical fiber sensor is exploited to
measure vibration of sand in particular. The whole system, which is delivered to the testing field in hinterland of
desert (25 km far from base station), has been proved efficient for data acquisition.
MA Xina (马鑫), DENG Shungea (邓顺戈), LI Xinwana,b,c* (李新碗)
. The Acquisition of Sand Vibration Information in Hinterland of Desert Based on Advanced Remote Sensing System and Network Technologies[J]. Journal of Shanghai Jiaotong University(Science), 2018
, 23(1)
: 28
-32
.
DOI: 10.1007/s12204-018-1905-1
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