“智能测绘 + 无人机”教学融合体系构建

Construction of an Integrated Teaching System of “Intelligent Surveying-and-Mapping + UAV”

摘要: 无人机测绘向着智能化、场景化、综合化方向快速发展，行业需要既掌握无人机实操，又具备多源数据处理和综合应用能力的复合型测绘人才。当前高校测绘类专业教学存在知识碎片化、学用场景割裂、实践环节与产业脱节、跨学科融合不足等现实问题。本文立足人才需求，构建“知识图谱–能力矩阵–实践闭环”三位一体教学体系，依托模块化课程、四级实践闭环与双导师教学模式，贯通知识、能力与产业应用培养链条，为适配无人机测绘的测绘专业教学改革提供参考。

Abstract: UAV surveying and mapping is developing rapidly toward intelligence, scenario-based application and integration. The industry demands interdisciplinary surveying and mapping talents who not only master UAV operation, but also possess capabilities in multi-source data processing and comprehensive application. Current teaching of surveying and mapping majors in universities suffers from practical challenges including fragmented knowledge, disconnection between theoretical learning and practical scenarios, decoupled practical training from industrial demands, and insufficient interdisciplinary integration. Based on the talent requirements, this paper constructs a three-in-one teaching system of “knowledge graph - competence matrix - closed-loop practice”. Relying on modular courses, four-level closed-loop practice and the dual-supervisor teaching model, the system connects the training chain of knowledge acquisition, competence development and industrial application, providing references for the teaching reform of surveying and mapping majors adapted to UAV surveying and mapping.