| 铀尾矿库WSN安全监控镜像约束域定位算法 |
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| 引用本文： | 余修武,,,范飞生,,夏凡,周利兴,,,刘永,,,李向阳,,,张枫,,.铀尾矿库WSN安全监控镜像约束域定位算法[J].中国安全生产科学技术,2017,13(11):90-96. |
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| 作者姓名： | 余修武 范飞生 夏凡 周利兴 刘永 李向阳 张枫 |
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| 作者单位： | （1.南华大学 环境与安全工程学院，湖南 衡阳 421001；
2.金属矿山安全与健康国家重点实验室，安徽 马鞍山 243000；3.湖南省铀尾矿库退役治理技术工程技术研究中心，湖南 衡阳 421001） |
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| 摘 要： | 铀尾矿库的WSN安全监控监测技术是一门新型领域技术，是实现铀尾矿库安全综合治理的重要前提，定位技术因其能够快速定位事件发生区域的地理位置而成为WSN的关键技术之一。RSSI测距定位技术因其易于实现、成本低等特点而被广泛应用，然而其在铀尾矿库中会受到多径、非视距等因素的影响，远距离得到的RSSI值测距误差较大。为此，提出一种镜像最小通信圆约束域定位算法，未知节点利用多个近距离RSSI测距值生成最小通信圆，以锚节点坐标镜像最小通信圆生成镜像圆，多条件约束形成定位区域进行区域定位。仿真结果表明:多最小通信圆定位效果优于单最小通信圆，且比传统RSSI和RSSI质心算法具有更高的定位精度和较小的误差均方差。
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| 关 键 词： | 无线传感器网络 铀尾矿库 RSSI测距 定位技术 镜像原理 最小通信圆 |
Constraint region location algorithm of WSN safety monitoring image in uranium tailings |
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| YU Xiuwu,,' target="_blank" rel="external">,FAN Feisheng,' target="_blank" rel="external">,XIA Fan,ZHOU Lixing,,' target="_blank" rel="external">,LIU Yong,,' target="_blank" rel="external">,LI Xiangyang,,ZHANG Feng' target="_blank" rel="external">ZHANG Feng,,' target="_blank" rel="external">.Constraint region location algorithm of WSN safety monitoring image in uranium tailings[J].Journal of Safety Science and Technology,2017,13(11):90-96. |
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| Authors: | YU Xiuwu " target="_blank">' target="_blank" rel="external"> FAN Feisheng " target="_blank">' target="_blank" rel="external"> XIA Fan ZHOU Lixing " target="_blank">' target="_blank" rel="external"> LIU Yong " target="_blank">' target="_blank" rel="external"> LI Xiangyang ZHANG Feng" target="_blank">ZHANG Feng' target="_blank" rel="external">ZHANG Feng " target="_blank">' target="_blank" rel="external"> |
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| Affiliation: | (1. School of Environment and Safety Engineering, University of South China, Hengyang Hunan 421001, China;
2. State Key Laboratory of Safety and Health for Metal Mines, Maanshan Anhui 243000, China;
3. Hunan Engineering Technology Research Center for Uranium Tailings Decommission and Treatment, Hengyang Hunan 421001, China) |
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| Abstract: | The wireless sensor network (WSN) safety monitoring technology of the uranium tailings is a new field technology, which is an important guarantee for the safety comprehensive management of the uranium tailings, and the location technology is one of the key technologies of WSN because of its ability to quickly locate the location of the event occurrence region. The received signal strength indicator (RSSI) ranging localization technology has been widely used because it is easy to implement with a low cost, however, it can be influenced by the factors such as multipath, non-line-of-sight and other factors in the uranium tailings, so the error of RSSI ranging in the long-distance is large. Therefore, a image minimum communication circle constraint region location algorithm (IMC-CC) was put forward. The unknown node generated the minimum communication circle using multiple close RSSI ranging values, then the image circle was generated by the minimum communication circle of the anchor node coordinate image, and the region localization was carried out by forming the localization region with the multi-condition constraint. The simulation results showed that the localization effect of multiple minimum communication circles was better than that of single minimum communication circle, and compared with the traditional RSSI and RSSI centroid algorithms, the localization accuracy was higher, with a smaller error mean square deviation. |
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| Keywords: | wireless sensor network (WSN) uranium tailings received signal strength indicator (RSSI) ranging positioning technology image theory minimum communication circle |
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