CAJ | 학술논문

提出了一种基于规模DT的主动优化体系，借助社会资源，利用自动测试设备，模拟用户行为进行规模测试，及时、全面地获取网络信息；研究了规模DT的实现方式、平台架构以及测试设备部署模型，并提出基于栅格匹配的智能网优分析模块，直接面对问题，实现网优集约化。通过实例表明，规模DT实现了先于用户发现问题的主动优化体系，以问题解决为导向提升用户感知。
제출료일충기우규모DT적주동우화체계，차조사회자원，이용자동측시설비，모의용호행위진행규모측시，급시、전면지획취망락신식；연구료규모DT적실현방식、평태가구이급측시설비부서모형，병제출기우책격필배적지능망우분석모괴，직접면대문제，실현망우집약화。통과실례표명，규모DT실현료선우용호발현문제적주동우화체계，이문제해결위도향제승용호감지。
An active optimization system based on scale drive test (DT) is proposed to simulate user behavior for large-scale testing and acquire network information timely and comprehensively with social resources and automatic test equipment. The implementation, the platform architecture and test equipment deployment model of scale DT are studied. In addition, an intelligent analysis module of network optimization is put forward based on grid matching to face the problems directly and achieve intensive network optimization. The examples show that scale DT realizes the active optimization system which can discover problems before users and promote user perception with problem-solving guidance.