基于AI的高校报修系统设计研究  

University repair application system design based on AI

作　　者：袁海峰[1] 胡锐[1] YUAN Haifeng;HU Rui(Information Construction and Management Center,SUST,Suzhou 215009,Chnia)

机构地区：[1]苏州科技大学信息化建设与管理中心,江苏苏州215009

出　　处：《苏州科技大学学报（自然科学版）》2024年第2期71-76,共6页Journal of Suzhou University of Science and Technology（Natural Science Edition）

基　　金：国家自然科学基金项目(51978239)。

摘　　要：为了提高校园报修系统的信息利用效率和用户体验,降低校园报修管理的成本和客诉率,研究结合了苏州科技大学校园报修系统现状,并应用了自然语言处理(NLP)技术来改进系统。改进后的算法应用于语音输入报修内容,有助于改善报修文本分类和回复、维修管理与分配等功能。语音识别使得报修过程更加智能和高效,提升了用户体验和报修效率。通过综合应用机器学习和NLP技术,校园报修系统实现了智能化、自动化的维修管理,为校内学生和教职员工提供了更加便捷和高质量的维修服务。In order to improve the information utilization efficiency and user experience of the campus repair system,reduce the cost of campus management and customer complaint rate,natural language processing(NLP)technology is used based on the current situation of the campus repair system at Suzhou University of Science and Technology.The application of this algorithm includes voice input repair content,intelligent text classification and reply,repair management and allocation,etc.The application makes the repair process more intelligent and efficient,improving user experience and repair efficiency.Through the comprehensive application of machine learning and NLP technology,the campus repair system has achieved intelligent and automated maintenance management,providing more convenient and high-quality repair services for students and faculty on campus.

关 键 词：校园报修 人工智能 自然语言处理 智能文本分类 机器学习 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]