期刊文献+

基于数字孪生的水土流失防治责任范围变化预测模型 被引量:1

Prediction model of soil erosion control responsibility range change based on digital twin
下载PDF
导出
摘要 为建立实用、高效的水土流失防治责任范围变化预测模型,提高合规性判断的准确性,在总结水土流失防治责任范围可撤销性、时空交错性、临时性和条件适用性等4个主要动态特性的基础上,提出一种基于数字孪生的水土流失防治责任范围变化预测模型。数学模型为描述防治责任范围状态的虚拟模型,防治责任范围为物理实体,模型基于防治责任范围变化主要因素的孪生数据,对防治责任范围有效性状态进行评估和预测。结果表明:模型对防治责任范围变化进行预测的正确率提升约38%,具有良好的预测防治责任范围变化的性能,有助于进一步提升提高遥感监管成果的质量,在生产建设项目遥感监管应用领域有一定的借鉴意义。 In order to establish a practical and efficient prediction model of soil erosion control responsibility range change and improve the accuracy of compliance judgment,a model for predicting the change of soil erosion control responsibility range based on digital twin is proposed.The model is based on summarizing four dynamic characteristics of soil erosion control responsibility range,which are reconcilability,space-time interweaving,temporality,and conditional applicability.Taking the numerical model as a virtual model describing the state of the range of control responsibility,and the range of control responsibility as a physical entity,the model evaluates and predicts the eff ectiveness of the range of control responsibility,based on the twin data of main factors that change the range of control responsibility.The result shows that the model improves accuracy of predicting changes in the range of control responsibility by approximately 38%,which has good performance in predicting changes and can further improve the quality of remote sensing supervision results.It can provide a certain reference in the field of remote sensing supervision applications for production and construction projects.
作者 卢敬德 李智广 LU Jingde;LI Zhiguang(Infi nite Matrix Technology Co.,Ltd.,Guangzhou 510055,China;The Center of Soil and Water Conservation Monitoring,Ministry of Water Resources,Beijing 100055,China)
出处 《水利信息化》 2024年第1期19-24,共6页 Water Resources Informatization
基金 河南省水利厅2021年水利科技攻关项目(GG202151)。
关键词 数字孪生 水土流失 遥感监管 防治责任范围 预测模型 digital twin soil erosion remote sensing supervision the range of control responsibility forecasting model
  • 相关文献

参考文献5

二级参考文献17

共引文献155

同被引文献9

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部