With the deepening of the smart city construction, the model "smart+" is rapidly developing. Guilin, the international tourism metropolis fast constructing need smart tourism technology support. This paper studied the smart scenic spot service object and its requirements. And then constructed the smart service platform of the scenic spot application of 3S technology (Geographic Information System (GIS), Remote Sensing (RS) and Global Navigation Satellite System (GNSS)) and the Internet of things, cloud computing. Based on Guilin Seven-star Park scenic area as an object, this paper designed the Seven-star smart scenic spot service platform framework. The application of this platform will improve the tourists’ visiting experience, make the tourism management more scientifically and standardly, increase tourism enterprises operating earnings.
The space constellation of BeiDou Navigation Satellite System(BDS)has three main components, Geostationary Earth Orbits (GEOs), Medium Earth Orbits (MEOs) and Inclined Geosynchronous Satellite Orbits(IGSOs).This paper selected 6 satellite respectively in three types to simulate their exiting service, and used the statistical methods to assess receiver autonomous integrity monitoring(RAIM) availability and fault detection (FD) capability of BeiDou14(Phase Ⅱ with 14 satellites)under the circumstances. This paper assessed RAIM availability performance from satellites and constellation geometry configuration by the number of visible satellites (NVS, NVS⪆5) and position dilution of precision (PDOP, PDOP≤6) together. The FD capability of RAIM is assessed by the maximum minimal detectable bias (MDB) and the maximum minimal detectable effect (MDE). The analyses of simulation results testify that the exiting of single MEO or IGSO satellite have no obvious effect on RAIM availability and error detection ability. However GEO satellite’s exiting can make the number of points in where the constellation geometry is not available and maximum minimum detectable deviation and maximum minimum detectable influence significantly increase. Relative to other two satellites, GEO satellites’ health have a significant impact on the RAIM performance of BDS.
The characterization of ionosphere delay estimated with precise point positioning is analyzed in this paper. The
estimation, interpolation and application of the ionosphere delay are studied based on the processing of 24-h data from 5
observation stations. The results show that the estimated ionosphere delay is affected by the hardware delay bias from
receiver so that there is a difference between the estimated and interpolated results. The results also show that the RMSs
(root mean squares) are bigger, while the STDs (standard deviations) are better than 0.11 m. When the satellite difference
is used, the hardware delay bias can be canceled. The interpolated satellite-differenced ionosphere delay is better than
0.11 m. Although there is a difference between the between the estimated and interpolated ionosphere delay results,it
cannot affect its application in single-frequency positioning and the positioning accuracy can reach cm level.
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