基于深度学习的二维网格空间泛在感知技术研究与应用  

Research and Application of 2-D Grid Space Ubiquitous Sensing Technology Based on Deep Learning

作　　者：袁加梅 张莉莉 丁蕾 张弛 Yuan Jiamei;Zhang Lili;Ding Lei;Zhang Chi(StateGrid Anhui Marketing Service Center,Hefei Anhui,230022)

机构地区：[1]国网安徽营销服务服务中心,安徽合肥230022

出　　处：《电子测试》2021年第18期87-88,91,共3页Electronic Test

摘　　要：本项目利用人工智能语义分析方法,研究二元语法(Bigram)二分法地址特征匹配与要素重组,智能切分、重构供电服务地址,将网格化分析维度逐步精确到台区、小区、用户,为台区经理和资源分配提供数据和理论支撑,加强客户个性化、多样化服务需求响应能力,优化客户服务感知,提升公司投诉风险防控能力。This project uses artificial intelligence semantic analysis method to study Bigram dichotomy address feature matching and element recombination,intelligent segmentation and reconstruction of power supply service address,and gradually accurate grid analysis dimension to the station,community and user,providing data and theoretical support for station manager and resource allocation.The project also strengthens the ability to respond to customers‘personalized and diversified service demands,optimizes customer service perception,and improves the power company‘s complaint risk prevention and control ability.

关 键 词：台区管理 优化营商环境 二元语法二分法 二维网格空间 提质增效 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM73[自动化与计算机技术—控制科学与工程]