基于知识图谱的水工程联合调度计算方案生成技术研究

人工方法构建水工程联合调度计算方案工作效率低且容易产生人为错误，为更好地生成水工程联合调度计算方案，研究和探索如何应用知识图谱技术实现计算方案的自动生成。研究领域知识图谱概念和物理 2 种模型的构建，以及知识图谱存储、检索和推理方法，并以淠河流域为例应用专题知识图谱的检索、推理方法， 将检索和推理结果存储为规定的数据内容和格式，即所需的水工程联合调度计算方案。研究表明：专题知识图谱是构建水工程联合调度计算方案的信息载体，专题知识图谱的检索、推理是水工程联合调度计算方案自动生成的主要方法。相对于传统人工方法，基于知识图谱技术生成大规模的水工程联合调度计算方案更加准确和高效。

Technical Study on Generate Computing Solution of Water Conservancy Project Joint Operation Based on Knowledge Graph

Construction of the water conservancy engineering joint scheduling calculation scheme by artificial method is inefficient and prone to human error. In order to better generate the scheduling scheme, knowledge graph technology is explored to automatically generate the scheme. This paper studies two models of knowledge graph with regarding to the concept and physical one, and moreover indicates the storage, retrieval and inference of knowledge graph. Taking the Pi River basin as an example, the retrieval and inference method of the domain knowledge graph is applied, and the results, in the other words, the joint scheduling schemes, are stored as the specified data content and data format. Research shows that the domain knowledge graph is the information carrier of the water conservancy engineering joint scheduling calculation scheme, and the retrieval and inference of domain knowledge graph is the main method of automatic generation of water conservancy engineering joint scheduling calculation scheme. Compared with the traditional artificial method, it is more accurate and efficient.