A multi-source transfer learning study based on feature difference enhancement for inter-project knowledge transfer of construction equipment
Engineering equipment intelligence is an important basis tor the development of in-telligent construction,and project knowledge is the knowledge source of engineering equipment intelligence.Therefore,the effective sharing and utilization of engineering equipment knowledge across projects is an important link to realize intelligent construction.In order to enhance the efficiency and effectiveness of cross-project utilization of engineering equipment knowledge,this paper proposes a multi-source domain transfer learning framework based on feature difference enhancement.The framework uses a hybrid deep neural network to extract the common spatio-temporal feature representation of source items,screens transferable source items based on the project similarity measurement,and mines the domain special feature representation of multiple source domains through the designed feature difference enhancement method and integrates it,so as to avoid negative transfer and realize effective cross-project transfer of engineering equip-ment knowledge.In this paper,the data of several tunnel engineering projects are used to carry out experiments.In the two prediction objectives of six shield equipment attitude prediction knowledge transfer tasks,the average accuracy improvement of the framework compared with the baseline model is 86.48％and 117.01％,respectively,and it has good robustness and situa-tional adaptability.Experiments show that the new framework designed in this paper can mine the characteristic knowledge of multiple source domain projects and integrate their common knowledge,improve the knowledge utilization rate by integrating the knowledge of multi-source domain transfer learning,provide an effective method and tool for the cross-project transfer of large-scale engineering equipment knowledge,and help improve the level of knowledge manage-ment and intelligent construction of construction projects.
construction projectproject knowledge transferconstruction equipment knowl-edgemulti-source domain transfer learningdeep learning
NETL
NSTL
万方数据
维普
