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基于知識圖譜的水工程聯合調度計算方案生成技術研究--陳勝,劉業森,魏耀麗
摘要:
基于知識圖譜的水工程聯合調度計算方案生成技術研究--陳勝,劉業森,魏耀麗
摘要:
分類:2022年第02期(總第167期)
發布: 2022-05-08 15:51:44
陳 勝1,2,劉業森1,2,魏耀麗3
(1.中國水利水電科學研究院,北京 100038;
2.水利部防洪抗旱減災工程技術研究中心,北京 100038;
3.北京慧盟信通技術發展有限公司,北京 100036)
摘 要:人工方法構建水工程聯合調度計算方案工作效率低且容易產生人為錯誤,為了更好地生成水工程聯合調度計算方案,研究和探索如何應用知識圖譜技術實現計算方案的自動生成。研究領域知識圖譜概念和物理2種模型的構建,以及知識圖譜存儲、檢索和推理方法,并以淠河流域為例應用專題知識圖譜的檢索、推理方法,將檢索和推理結果存儲為規定的數據內容和格式,即所需的水工程聯合調度計算方案。研究表明:專題知識圖譜是構建水工程聯合調度計算方案的信息載體,專題知識圖譜的檢索、推理是水工程聯合調度計算方案自動生成的主要方法。相對于傳統人工方法,基于知識圖譜技術生成大規模的水工程聯合調度計算方案更加準確和高效。
關鍵詞:知識圖譜;水工程;聯合調度;計算方案;方案生成;概念模型;物理模型;知識推理
Research on water conservancy engineering joint regulation scheme based on knowledge graph
CHEN Sheng1,2,LIU Yesen1,2,WEI Yaoli3
(1. China Institute of Water Resources and Hydropower Research, Beijing 100038, China;
2. Research Center on Flood and Drought Disaster Reduction, Ministry of Water Resources, Beijing 100038, China;
3. Beijing HMXT Development Co., Ltd., Beijing 100036, China)
Abstract: 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.
Key words: knowledge graph;water conservancy engineering;joint scheduling;calculation scheme; scheme generation;conceptual model;physical model;knowledge inference
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