[目的/意义] 通过识别新颖专利代替由一组关键词代表的专利空白，改善技术机会识别过于主观的缺陷；[方法/过程] 利用一种基于系统流程的定量方法识别专利的新颖程度。通过基于密度的局部离群点（DLOF）算法识别出新颖专利，利用技术范围指标与同类专利数量指标构建研发组合标识图；[结果/结论] 研究结果表明，基于专利的新颖性研发组合标识图可以准确的识别出新颖专利，为技术研发提供借鉴。

[Purpose/significance] The meanings of potential technology opportunities become more explicit by identifying novel patents rather than patent vacancies that are usually represented as a simple set of keywords. [Method/process] We proposed an approach to detect novel patents based on systematic processes and quantitative outcomes. Density-Based Local Outlier (DLOF) algorithm was used to identify novel patents. Then, we used the scope of technology index and the number of similar patents index to structure an anomaly-portfolio patent map. [Result/conclusion] Research results show that novelty-focused patent mapping for the technology opportunity analysis can accurately identify the novel patents and provide a reference for the technology research and development.