智能化社区服务平台在基层治理中的应用效果评估  

Evaluation of the Application Effect of Intelligent Community Service Platform in Grassroots Governance

作　　者：陈丹青 CHEN Danqing(Guiyang Municipal Party School of the Communist Party of China)

机构地区：[1]中共贵阳市委党校

出　　处：《中国建设信息化》2024年第9期52-55,共4页Informatization of China Construction

摘　　要：本文设计了智能化社区服务平台,首先采用分布式框架构建平台,为智能化社区提供数据服务。其次采用实现智能化的机器学习模型,加速网络的训练,用于社区数据分类任务,并对基于多源异质大数据的高精度关联机制,将不同类型的话题数据存储到相应的话题库中,实现结构化、半结构化和非结构化数据的融合处理。最后设定平台管理员、社区政务人员、社区服务单位、社区居民等四种账号信息,为社区居民提供服务。仿真结果显示,智能化社区服务平台功能测试结果均显示测试通过,且响应时间最大变化不到1%,证明了智能化社区服务平台在基层治理中仿真应用的可行性。This article designs an intelligent community service platform,first using a distributed framework to build the platform and provide data services for the intelligent community.Secondly,an intelligent machine learning model is adopted to accelerate network training for community data classification tasks.A high-precision association mechanism based on multi-source heterogeneous big data is used to store different types of topic data in corresponding topic libraries,achieving the fusion processing of structured,semi-structured,and unstructured data.Finally,four types of account information are set up,including platform administrators,community government officials,community service units,and community residents,to provide services for community residents.The simulation results show that the functional test results of the intelligent community service platform have all passed the test,and the maximum response time change is less than 1%,proving the feasibility of the simulation application of the intelligent community service platform in grassroots governance.

关 键 词：社区服务平台 分布式框架 机器学习 数据分类 响应时间 

分 类 号：TP267[自动化与计算机技术—检测技术与自动化装置]