变电站电气设备相对位置及金属特性影响变电站RFID(Radio Frequency Identification)监测系统通信性能.针对其类似隧道环境及多金属介质特点,提出了基于多天线技术的变电站设备状态传感标签监测系统,建立了监测系统信道模型,并分析了多...变电站电气设备相对位置及金属特性影响变电站RFID(Radio Frequency Identification)监测系统通信性能.针对其类似隧道环境及多金属介质特点,提出了基于多天线技术的变电站设备状态传感标签监测系统,建立了监测系统信道模型,并分析了多天线RFID监测系统的性能影响因素.实验结果表明,阅读器天线与传感标签间距离小于80 m时,相比单天线及双收发天线监测系统,4收发天线系统通信误码率最大可降低1至3个数量级;通信距离在25～80 m时,垂直布置多天线方式较水平布置方式误码率可降低20%～40%.展开更多
Owing to the variability of mine surfaces, it is difficult to obtain the deformation monitoring data of the observation stations by traditional leveling technique. GPS RTK （Real-Time Kinematic） technique was employe...Owing to the variability of mine surfaces, it is difficult to obtain the deformation monitoring data of the observation stations by traditional leveling technique. GPS RTK （Real-Time Kinematic） technique was employed to the subsidence observation in this paper, and its main sources of errors including rover pole deflection of the vertical, un-modeled systematic errors （gross error, multipath delay etc.） and the height transformation error, were analyzed systematically. Based on the fundamental theories of spherical fit- ting and Empirical Mode Decomposition （EMD）, the error reduction models were studied exhaustively. And two experiments were done in different environment to test the proposed models. The results show that the proposed methods can achieve a fourth-grade leveling accuracy, with （Root-Mean-Square） RMS in three orthogonal directions （N, E and H） of 4.1, 3.3 and 3.1 ram, respectively, by 3-5 rain continuous shaking of the observation GPS antenna, fully satisfying for mine surface subsidence deformation monitoring.展开更多
文摘变电站电气设备相对位置及金属特性影响变电站RFID(Radio Frequency Identification)监测系统通信性能.针对其类似隧道环境及多金属介质特点,提出了基于多天线技术的变电站设备状态传感标签监测系统,建立了监测系统信道模型,并分析了多天线RFID监测系统的性能影响因素.实验结果表明,阅读器天线与传感标签间距离小于80 m时,相比单天线及双收发天线监测系统,4收发天线系统通信误码率最大可降低1至3个数量级;通信距离在25～80 m时,垂直布置多天线方式较水平布置方式误码率可降低20%～40%.
基金sponsored by the National Natural Science Foundation of China (Nos.41074010, 41104005 and 40904004)the Scientific Research Foundation of Key Laboratory for Land Environment and Disaster Monitoring of SBSM (Nos.LEDM2010B12 and LEDM2009A01) the Jiangsu Qinglan Project
文摘Owing to the variability of mine surfaces, it is difficult to obtain the deformation monitoring data of the observation stations by traditional leveling technique. GPS RTK （Real-Time Kinematic） technique was employed to the subsidence observation in this paper, and its main sources of errors including rover pole deflection of the vertical, un-modeled systematic errors （gross error, multipath delay etc.） and the height transformation error, were analyzed systematically. Based on the fundamental theories of spherical fit- ting and Empirical Mode Decomposition （EMD）, the error reduction models were studied exhaustively. And two experiments were done in different environment to test the proposed models. The results show that the proposed methods can achieve a fourth-grade leveling accuracy, with （Root-Mean-Square） RMS in three orthogonal directions （N, E and H） of 4.1, 3.3 and 3.1 ram, respectively, by 3-5 rain continuous shaking of the observation GPS antenna, fully satisfying for mine surface subsidence deformation monitoring.
