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作 者:张帝 孟磊 董飞[1,2] 丁恩杰 赵端 ZHANG Di;MENG Lei;DONG Fei;DING Enjie;ZHAO Duan(College of Information and Control Engineering,China University of Mining and Technology,Xuzhou 221008,China;National & Local Joint Engineering Laboratory of Mining Internet Technology on Mine,Xuzhou 221008,China;lnternet of Things(Mine Perception)Research Center,China University of Mining and Technology,Xuzhou 221008,China)
机构地区:[1]中国矿业大学信息与控制工程学院,江苏徐州221008 [2]矿山互联网应用技术国家地方联合工程实验室,江苏徐州221008 [3]中国矿业大学物联网(感知矿山)研究中心,江苏徐州221008
出 处:《煤矿安全》2018年第11期91-95,共5页Safety in Coal Mines
基 金:国家重点研发计划资助项目(2017YFC0804400);国家自然科学基金资助项目(41302203)
摘 要:为实现对矿井突水的智能化分析和处理,以及突水相关知识在领域内的共享和复用,提出基于本体构建矿井突水预警知识库。通过总结突水发生的机理研究,归纳出突水领域中重要概念及其相互间的联系;利用本体建模工具Protégé4.3实现七步法构建突水本体,完成突水领域知识的统一形式化描述;同时根据专家经验及相关文献资料设计推理规则库,借助Jena API工具包读取本体模型并加载规则库,推理出潜在的隐性知识。最后,通过底板突水发生的实例,验证该预警知识库的有效性和实用性;结果表明,该知识库对实例发生突水的预测结果符合实际评判结果,可实现突水危险等级的智能化判别。In order to realize the intelligent analysis and treatment of mine water inrush and the sharing and reusing of water inrush knowledge in the field, a knowledge base of mine water inrush warning based on ontology is proposed. By summarizing the mechanism of water inrush, the important concepts and their relations in the field of water inrush are summarized. The method of ontology modeling tool Protégé4.3 was used to construct the water inrush body by seven steps to complete the unified and formalized description of the water inrush domain knowledge. Meanwhile, the reasoning rule base is designed according to the expert's experience and the relevant literature, the ontology model is read by Jena API toolkit and the rule base is loaded to reason out the latent tacit knowledge. Finally, the validity and practicability of this early warning knowledge base are verified by examples of occurrence of floor water inrush. The results show that the prediction result of water inrush from this knowledge base accords with the actual judgment result, which can realize the intelligent discrimination of water inrush danger level.
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