
基本信息:
- 专利标题: 基于机器学习的虚端子模型建模及自动连线方法
- 申请号:CN201710373742.2 申请日:2017-05-24
- 公开(公告)号:CN107247827B 公开(公告)日:2020-05-22
- 发明人: 黄哲忱 , 高磊 , 卜强生 , 杨毅 , 宋爽 , 宋亮亮 , 温东旭 , 李嘉 , 袁浩 , 张海东
- 申请人: 国网江苏省电力公司电力科学研究院 , 国家电网公司 , 中国电力科学研究院 , 江苏省电力试验研究院有限公司
- 申请人地址: 江苏省南京市江宁区帕威尔路1号
- 专利权人: 国网江苏省电力公司电力科学研究院,国家电网公司,中国电力科学研究院,江苏省电力试验研究院有限公司
- 当前专利权人: 国网江苏省电力公司电力科学研究院,国家电网公司,中国电力科学研究院,江苏省电力试验研究院有限公司
- 当前专利权人地址: 江苏省南京市江宁区帕威尔路1号
- 代理机构: 南京纵横知识产权代理有限公司
- 代理人: 董建林
- 主分类号: G06F30/20
- IPC分类号: G06F30/20 ; G06N20/00
The invention discloses a virtual terminator model modeling and automatic ligature method based on machine learning. The virtual terminator model modeling and automatic ligature method based on machine learning comprises the following steps: acquiring at least SCD configuration files which have been finished at first; then analyzing the various acquired SCD configuration files to obtain IED information and virtual terminator ligature information in various SCD files; and establishing a knowledge set which comprises a typical IED model base, a virtual terminator typical ligature matrix and a virtual terminator typical ligature confidence matrix on the basis of an analysis result of the SCD files, then configuring the new SCD files, and carrying out automatic ligature on a virtual terminator on the basis of a current knowledge set. By the virtual terminator model modeling and automatic ligature method based on machine learning, the achievement of the configuration operation which has been finished can be utilized effectively, the modeling workload during actual operation is reduced, meanwhile, and compared with a typical IED judgment method, the virtual terminator model modeling and automatic ligature method based on machine learning can avoid interference caused by the reason that various IED factories have difference on standard understanding.
公开/授权文献:
- CN107247827A 基于机器学习的虚端子模型建模及自动连线方法 公开/授权日:2017-10-13
IPC结构图谱:
G06F30/20 | 设计优化、验证或模拟 |