虚端子自动关联技术是数字化变电站虚回路建立的关键一环,对系统安全运行尤为重要。现行的虚端子手动关联方式存在明显的效率低下问题,关联方法的限制也会导致虚端子识别效率低、准确性不高等问题,文章利用FastText模型对虚端子信息进...虚端子自动关联技术是数字化变电站虚回路建立的关键一环,对系统安全运行尤为重要。现行的虚端子手动关联方式存在明显的效率低下问题,关联方法的限制也会导致虚端子识别效率低、准确性不高等问题,文章利用FastText模型对虚端子信息进行编码,将其映射到高维向量空间,可以实现对虚端子描述文件中关键特征的提取,以便提高后续匹配工作的效率;引入最长公共子序列(longest common subsequence,LCS)算法能够比较编码后的虚端子信息并找出最佳匹配对应关系。通过校验和修正匹配结果,确保关联的准确性,在实际变电站数据集上的算例验证表明,FastText模型的文本表示能力和LCS算法的字符串匹配优势有效提高了虚端子自动关联的准确率和计算效率,可为发展变电站的数字化改造技术提供参考。展开更多
In order to improve the consistency between the recommended retrieval results and user needs,improve the recommendation efficiency,and reduce the average absolute deviation of resource retrieval,a design method of int...In order to improve the consistency between the recommended retrieval results and user needs,improve the recommendation efficiency,and reduce the average absolute deviation of resource retrieval,a design method of intelligent recommendation retrieval model for Fujian intangible cultural heritage digital archive resources based on knowledge atlas is proposed.The TG-LDA(Tag-granularity LDA)model is proposed on the basis of the standard LDA(Linear Discriminant Analysis)model.The model is used to mine archive resource topics.The Pearson correlation coefficient is used to measure the relevance between topics.Based on the measurement results,the FastText deep learning model is used to achieve archive resource classification.According to the classification results,TF-IDF(term frequency–inverse document frequency)algorithm is used to calculate the weight of resource retrieval keywords to achieve resource retrieval,and a recommendation model of intangible cultural heritage digital archives resources is built through the knowledge map to achieve comprehensive and personalized recommendation of resources.The experimental results show that the recommendation and retrieval results of the proposed method are more in line with users’needs,can provide users with personalized digital archive resources,and the average absolute deviation of resource retrieval is low,the recommendation efficiency is high,and the utilization effect of archive resources is effectively improved.展开更多
文摘虚端子自动关联技术是数字化变电站虚回路建立的关键一环,对系统安全运行尤为重要。现行的虚端子手动关联方式存在明显的效率低下问题,关联方法的限制也会导致虚端子识别效率低、准确性不高等问题,文章利用FastText模型对虚端子信息进行编码,将其映射到高维向量空间,可以实现对虚端子描述文件中关键特征的提取,以便提高后续匹配工作的效率;引入最长公共子序列(longest common subsequence,LCS)算法能够比较编码后的虚端子信息并找出最佳匹配对应关系。通过校验和修正匹配结果,确保关联的准确性,在实际变电站数据集上的算例验证表明,FastText模型的文本表示能力和LCS算法的字符串匹配优势有效提高了虚端子自动关联的准确率和计算效率,可为发展变电站的数字化改造技术提供参考。
文摘In order to improve the consistency between the recommended retrieval results and user needs,improve the recommendation efficiency,and reduce the average absolute deviation of resource retrieval,a design method of intelligent recommendation retrieval model for Fujian intangible cultural heritage digital archive resources based on knowledge atlas is proposed.The TG-LDA(Tag-granularity LDA)model is proposed on the basis of the standard LDA(Linear Discriminant Analysis)model.The model is used to mine archive resource topics.The Pearson correlation coefficient is used to measure the relevance between topics.Based on the measurement results,the FastText deep learning model is used to achieve archive resource classification.According to the classification results,TF-IDF(term frequency–inverse document frequency)algorithm is used to calculate the weight of resource retrieval keywords to achieve resource retrieval,and a recommendation model of intangible cultural heritage digital archives resources is built through the knowledge map to achieve comprehensive and personalized recommendation of resources.The experimental results show that the recommendation and retrieval results of the proposed method are more in line with users’needs,can provide users with personalized digital archive resources,and the average absolute deviation of resource retrieval is low,the recommendation efficiency is high,and the utilization effect of archive resources is effectively improved.
