基站健康度自动化评估研究与实践

The research and practice on automatic health evaluation of base station

传统基站维护评估一般为在服和退服两种单一的运行状态标识,但是在服基站由于受基站运行环境、参数配置、设备性能等多种因素影响,仔细分析还存在不同等级的运行质量态势。根据基站在服运行过程中产生的各类相关数据,利用专家经验设定各种数据的阈值门限和关联关系,采用一定的数据模型和数据算法,自动形成基站运行健康度的层级,建立一套自动评估的体系和系统平台,将有助于基站进行质检入网、隐患消除、感知提升等精细化的管理动作,提升网络服务质量。

The traditional BTS maintenance assessment generally identifies two single operation statuses,in-service and out-of-service,but in-service BTS are also subject to different levels of operation quality postures due to the influence of various factors such as BTS operation environment,parameter configuration,equipment performance,and so on,which are carefully analyzed.According to the various types of relevant data generated in the process of BTS in-service operation,using expert experience to set the threshold and correlation relationship of various data,adopting certain data models and data algorithms to automatically form the tiers of BTS opera-tional health,and setting up a set of automatic assessment system and system platform will help to carry out the quality inspection of the BTS to enter the network,elimination of hidden dangers,perception enhancement and other refined management actions,so as to im-prove network service quality.