基于知识图谱的鼓风机轴承温度智能预测  

Intelligent Prediction of Blower Bearing Temperature Based on Knowledge Graph

作　　者：韩春荣[1] 杨自强 郭俊温[1] 王鹏飞 伍小龙 孙晨暄 HAN Chun-Rong;YANG Zi-Qiang;GUO Jun-Wen;WANG Peng-Fei;WU Xiao-Long;SUN Chen-Xuan(Beijing Drainage Group Co.Ltd.,Beijing 100044,China;Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China)

机构地区：[1]北京城市排水集团有限责任公司,北京100044 [2]北京工业大学信息学部,北京100124

出　　处：《计算机系统应用》2024年第2期105-114,共10页Computer Systems & Applications

摘　　要：轴承温度是衡量鼓风机是否正常运行的重要指标之一.然而,轴承通常安装在狭小密闭的空间中,导致其温度难以实时准确检测.为了解决这个问题,设计了基于知识图谱的鼓风机轴承温度智能预测方法.利用统计方法分析鼓风机运行系统,获取与轴承温度相关的影响因素.结合运行机理和领域知识构建知识图谱,提取影响轴承温度的直接和间接特征变量.采用双模块模糊神经网络对知识图谱进行推理,实现对鼓风机轴温的实时准确预测.结果表明,基于知识图谱的鼓风机轴承温度智能预测方法可以准确地建模鼓风机系统,具有良好的温度预测能力.该项研究可以为轴承温度的实时监测和变化趋势预测提供支持.The bearing temperature of the blower is an important indicator to evaluate its stable operation.However,since bearings are usually installed in a relatively closed environment,it is difficult to achieve real-time and accurate detection of bearing temperature.To address this issue,a knowledge graph-based intelligent prediction of the bearing temperature of blowers is presented.First,a statistical method is applied to analyze the operational system of blowers,and the influencing factors related to bearing temperature are obtained.Second,a knowledge graph is constructed by combining mechanism and domain knowledge.In addition,the direct and indirect feature variables that affect the bearing temperature are extracted.Third,a dual modular fuzzy neural network is designed to deduce the knowledge graph,and the real-time and accurate prediction of the bearing temperature of blowers is realized.Finally,the results show that the intelligent prediction method of bearing temperatures of blowers based on a knowledge graph can accurately model the blower system and has good temperature prediction ability.This research can provide support for real-time monitoring and change trend prediction of bearing temperatures.

关 键 词：轴承温度 目标预测 知识图谱 模糊神经网络 检测方法 

分 类 号：X703.3[环境科学与工程—环境工程] TP391.1[自动化与计算机技术—计算机应用技术]