摘 要在智能家居普及与家电保有量攀升的背景下传统维修模式存在响应滞后、服务标准化不足、供需匹配低效等痛点。消费者面临维修渠道分散、定价不透明难题维修企业则受限于人工派单、资源调度僵化等问题。在此趋势下构建高效、智能的家电维修系统成为优化服务流程、提升供需双方满意度的迫切需求。本系统采用主流技术架构进行开发后端基于IDEA开发平台以Java语言结合SpringBoot框架搭建稳定可靠的服务端体系前端采用数据驱动的Vue框架构建交互界面并依托微信开发者工具与Uni-app框架完成微信小程序端的开发工作。系统面向用户、维修师傅、管理员三类角色深度贴合社区家电上门维修的实际场景核心实现用户报修管理、智能派单调度、在线双向沟通、全流程订单跟踪及服务评价反馈等关键功能构建高效协同的维修服务生态。本文聚焦管理员、维修师傅与用户对家电维修小程序的实际需求以提升用户体验、优化系统性能为目标研究小程序开发相关理论完成系统的设计与实现。该系统简化用户报修流程大幅提升维修服务体验充分满足多方使用诉求。关键词家电维修小程序SpringBootVueAbstractAgainst the backdrop of smart home proliferation and rising household appliance ownership, traditional repair models face challenges such as delayed response times, insufficient service standardization, and inefficient supply-demand matching. Consumers encounter issues like fragmented repair channels and opaque pricing, while repair enterprises struggle with rigid manual dispatch and resource allocation. Under this trend, building an efficient and intelligent appliance repair system has become an urgent need to optimize service processes and enhance satisfaction for both suppliers and demanders.The system is developed using mainstream technical architecture, with the backend built on the IDEA development platform and a stable, reliable server-side system constructed using Java combined with the SpringBoot framework. The frontend employs a>
基于微信小程序的家电维修系统设计与实现
摘 要在智能家居普及与家电保有量攀升的背景下传统维修模式存在响应滞后、服务标准化不足、供需匹配低效等痛点。消费者面临维修渠道分散、定价不透明难题维修企业则受限于人工派单、资源调度僵化等问题。在此趋势下构建高效、智能的家电维修系统成为优化服务流程、提升供需双方满意度的迫切需求。本系统采用主流技术架构进行开发后端基于IDEA开发平台以Java语言结合SpringBoot框架搭建稳定可靠的服务端体系前端采用数据驱动的Vue框架构建交互界面并依托微信开发者工具与Uni-app框架完成微信小程序端的开发工作。系统面向用户、维修师傅、管理员三类角色深度贴合社区家电上门维修的实际场景核心实现用户报修管理、智能派单调度、在线双向沟通、全流程订单跟踪及服务评价反馈等关键功能构建高效协同的维修服务生态。本文聚焦管理员、维修师傅与用户对家电维修小程序的实际需求以提升用户体验、优化系统性能为目标研究小程序开发相关理论完成系统的设计与实现。该系统简化用户报修流程大幅提升维修服务体验充分满足多方使用诉求。关键词家电维修小程序SpringBootVueAbstractAgainst the backdrop of smart home proliferation and rising household appliance ownership, traditional repair models face challenges such as delayed response times, insufficient service standardization, and inefficient supply-demand matching. Consumers encounter issues like fragmented repair channels and opaque pricing, while repair enterprises struggle with rigid manual dispatch and resource allocation. Under this trend, building an efficient and intelligent appliance repair system has become an urgent need to optimize service processes and enhance satisfaction for both suppliers and demanders.The system is developed using mainstream technical architecture, with the backend built on the IDEA development platform and a stable, reliable server-side system constructed using Java combined with the SpringBoot framework. The frontend employs a>
