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首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Dominant technology identification of wind power generation
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Dominant technology identification of wind power generation

机译：风力发电的主导技术识别

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Wind energy, the most commercialized prospect of renewable energy, is being developed and utilized on a large scale. Major institutions and universities have invested a lot of manpower, capital and technology in researching the wind power technology, which has made remarkable progress. In the era of green economy, the leading technology of wind power deserves more attention. Dominant technology represents the development direction of technology area. Identification of the dominant technology is of great significance for the technological choice and strategic layout of enterprises. In contrast to traditional technology identification methods, here we propose a visual analysis model based on patent citation relationship. First, the patent mutual citation data are input into the visualization software Gephi to identify the leading technology in the visual processing stage. The PageRank algorithm is used to cross contrast the technical value to build the leading technology recognition model. Second, we evaluate the technical value of each patent with five indices, including 'number of patent cited', 'patent number of the same family', 'scope of patent coverage', 'claim number of each patent', and 'number of patent litigations' to verify the accuracy of the visual model. Taking the database of wind power generation technology from European Patent Office as an example, we obtain 7421 patents from 1900 to 2017. The results of visual processing, evaluation of the index and PageRank judgment show that the visual model has a significant effect in the identification of the leading technology. The results also explain the applicability of the PageRank algorithm and the five indicators are the most scientific and reasonable for dominant technology identification.
机译：风能，可再生能源的最商业化前景，正在大规模开发和利用。主要机构和大学研究了大量人力，资本和技术在研究风电技术，这取得了显着进展。在绿色经济时代，风力的领先技术值得更加关注。主导技术代表了技术领域的发展方向。鉴定主导技术对企业的技术选择和战略布局具有重要意义。与传统技术识别方法相比，这里我们提出了一种基于专利引用关系的视觉分析模型。首先，专利互联数据被输入到可视化软件Gephi中，以识别视觉处理阶段的领先技术。 PageRank算法用于交叉对比技术值以构建领先的技术识别模型。二，我们评估每项专利的技术价值五个指数，包括“专利人数”，“专利人数的同一家庭”，“专利覆盖范围”，“每项专利的索赔人数”和“数量”专利诉讼'验证视觉模型的准确性。从欧洲专利局采取风力发电技术的数据库为例，我们从1900年到2017年获得7421项专利。视觉处理的结果，指数和PageRank判断的评估结果表明，视觉模型在识别中具有显着影响领先技术。结果还解释了PageRank算法的适用性，五个指标是主要技术识别的最科学合理的。

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