本文以1996-2020年间智能物流产业专利数据为研究对象，分析智能物流技术跨领域融合的独立发展模式、单向型融合模式、顾问式双向融合模式、联络人式双向融合模式，并在此基础上基于局部相似性，从Jacard指标、PA指标、RA 指标进行融合趋势预测。研究结果表明：不同类型的融合模式呈现稳定、微小波动趋势；联络人式双向融合是主要方式；基于不同指标计算的预测结果显示，专用机械、金属制品、信号传输等技术是未来主要融合方向，专用机械-金属制品、专用机械-信号传输等之间的融合是未来主要趋势。

This paper takes the patent data of the intelligent logistics industry from 1996 to 2020 as the research object, and analyzes the independent development mode, one-way integration mode, consultant-type two-way integration mode, and liaison-type two-way integration mode of cross-field integration of intelligent logistics technology from the perspective of dynamic evolution. On this basis, based on the local similarity, the fusion trend is predicted from the Jacard index, the PA index, and the RA index. Research results show that different types of fusion models show a trend of stability and slight fluctuation; the two-way fusion of liaison is the main mode; the prediction results calculated based on different indicators show that technologies such as special machinery, metal products, and signal transmission are the main fusion directions in the future, and the fusion between special machinery-metal products, special machinery-signal transmission, etc. is the main trend in the future.

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国家自然科学基金青年科学基金项目“跨越结构的藩篱：网络断层对技术融合的作用机理研究”（72002170）;陕西省哲学社会科学重点研究基地项目“数字经济背景下陕西省融合创新网络结构断层与子群演化研究”（20JZ090）;教育部人文社会科学研究青年基金项目“解构跨界集成困境：分裂断层作用下产学研合作创新网络子群演化研究”（20YJC630010）;陕西省软科学研究计划一般项目“网络断层视角下陕西省产学研合作创新能力提升机制研究”（2020KRM027）;陕西省社会科学基金项目“基于工业互联网的陕西省制造业协同创新生态系统研究”（2020R009）