论文部分内容阅读
在煤矿井下安全生产系统中,对井下人员的精确实时定位是一个很重要的任务之一。ZigBee技术以它低功率、低成本、低复杂性等特征,被大量的应用在煤矿井下定位系统中。研究一种基于ZigBee技术的煤矿井下人员新定位算法,采用最邻近的信号强度(NNSS)指纹匹配在煤矿井下进行初步定位,然后运用动态三边测量(DTN)对移动节点进行精确的测距定位,并与其他的经典的定位算法进行比较,结果证明了这种算法是可行的,且明显的能够提高定位的精确度。
In coal mine safety production system, the accurate real-time positioning of underground personnel is a very important task. ZigBee technology with its low power, low cost, low complexity and other features, is widely used in coal mine positioning system. A new positioning algorithm based on ZigBee technology for underground miners is researched. The nearest neighbor signal strength (NNSS) fingerprinting is used to make preliminary positioning in coal mine, and then dynamic triangulation (DTN) is used to accurately locate the mobile node , And compared with other classical positioning algorithms. The results show that this algorithm is feasible, and obviously can improve the positioning accuracy.