王红雷, 张航, 商俊, et al. Research on RRU recognition algorithm based on de-viation degree[J]. 2020, 33(8): 73-75. DOI: 10.13992/j.cnki.tetas.2020.08.016.
基于偏离度的问题RRU识别算法研究
摘要
为了保证建筑物内的深度覆盖
经常需要大量建设室分
针对室分小区出现问题概率高、发现问题不及时和排查工作量大等困难
本文提出一种基于偏离度的问题RRU智能识别算法
远程实现了对问题RRU的快速定位和问题类型的判定
再关联室分图纸数据库
自动输出问题RRU的安装位置。该算法能及时发现隐性室分问题、缩减现场工作量和提升优化方案准确性
达到提升用户感知和支撑现场优化工作的双重效果。
Abstract
In order to ensure the deep coverage of buildings
a large number of construction rooms are often needed. In view of the difficulties such as high probability of problems
untimely discovery of problems
and heavy workload of troubleshooting
an intelligent identification algorithm of RRU based on deviation degree is proposed
which realizes the rapid location of RRU problems and the determination of problem types remotely
and then associates the room drawing database to automatically output the RRU problems installation position. The algorithm can find hidden room problems in time
reduce the field workload
improve the accuracy of optimization scheme
and achieve the dual effects of improving user perception and supporting the field optimization work.