CAJ | 학술논문

对物联网中关键信号进行挖掘定位是下一代物联网技术发展的重点。在传统的物联网系统中，数据不分关键和非关键，每个节点的数据做单独处理，所以无法分级处理，达到较好的定位。提出一种多路径层进指导的物联网中关键信号挖掘定位技术，采用物联网技术将分布式系统下各个离散制造系统的终端数据进行统一收集和综合，通过多路径层进指导的方法对所获取的所有数据进行分类处理，提取关键与非关键，最终采用数据融合的方法实现精确定位。采用一组实际节点数据进行实验，结果显示，关键信号可以被精确挖掘定位，算法具有很好的应用价值。
대물련망중관건신호진행알굴정위시하일대물련망기술발전적중점。재전통적물련망계통중，수거불분관건화비관건，매개절점적수거주단독처리，소이무법분급처리，체도교호적정위。제출일충다로경층진지도적물련망중관건신호알굴정위기술，채용물련망기술장분포식계통하각개리산제조계통적종단수거진행통일수집화종합，통과다로경층진지도적방법대소획취적소유수거진행분류처리，제취관건여비관건，최종채용수거융합적방법실현정학정위。채용일조실제절점수거진행실험，결과현시，관건신호가이피정학알굴정위，산법구유흔호적응용개치。
The critical signal excavation positioning was development focus for the networking of the next generation tech-nology. In the traditional system, the data of the key and non-critical data was not divided for each node, so the grading pro-cess cannot be achieved with better positioning. The key signal mining and position in things of internet based on multipath layer guidance was proposed, the distributed networking technology system was used for a terminal for discrete manufactur-ing system, the unified data collection and integrated was done, then the multi-path layer was directed into all of the ac-quired data classification processing to extract critical and non-critical, ultimately the data fusion method was used to achieve precise positioning. A group of actual node data was collected to do the experiment, and the result shows that the key signal can be accurately positioned excavated, so the algorithm has good application value.