Construction and application of a knowledge graph for EPC engineering management in the Yangtze River Protection Project
Qianyou ZHONG , Xingning LIU , Xianqiang GUO , Yishu LAI , Hanxu ZHANG , Xueming WU
Water Resources and Hydropower Engineering ›› 2025, Vol. 56 ›› Issue (S1) : 58 -66.
In the modern industrial environment, the field of water EPC management is faced with unprecedented complex data management and decision-making challenges. With the continuous growth of data volume, traditional data processing method have been difficult to meet the requirements of efficient and high-precision knowledge extraction and management. The construction technology of knowledge graph was discussed for water conservancy EPC enterprise management based on deep learning. Entity identification is carried out by combining BERT-BiLSTM-CRF model, and inter-entity relationship extraction is carried out by using improved BERT-BiGRU-Attention model. The knowledge graph construction and systematic analysis are carried out on the information of standards, specifications and management documents in the field of water conservancy EPC management. The result show that the entity recognition rate and relation extraction rate of the improved knowledge extraction model in the field of water conservancy engineering management are as high as 93.5% and 92.9% respectively, which significantly improves the efficiency of EPC knowledge management and lays a foundation for comprehensive knowledge application. Finally, knowledge extraction was integrated with the water conservancy EPC management platform, which has a friendly operation interface and supports dynamic knowledge update and knowledge query. To sum up, the study findings provide a dynamically updated and rich knowledge graph resource base for professionals in the field of water conservancy engineering management, enhances the complex decision-making ability in the process of EPC project management through the water conservancy EPC management platform, and promotes the intelligent management of water conservancy EPC projects.
deep learning / knowledge graph / Yangtze River Protection / entity recognition / relation extraction / management platform
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