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作 者:刘雅萱 赵聪慧 柴洲 LIU Yaxuan;ZHAO Conghui;CHAI Zhou(CRRC Xi'an Railway Vehicle Co.,Ltd,Xi'an 712000,Chian;School of Civil Engineering,Shijiazhuang Tiedao University,Shijiazhuang,050043,Hebei Chian;Baoji Public Works Section of China Railway Xi'an Bureau Group Co.,Ltd,Baoji 721001,Shanxi Chian)
机构地区:[1]中车西安车辆有限公司,陕西西安712000 [2]石家庄铁道大学土木工程学院,河北石家庄050043 [3]中国铁路西安局集团有限公司宝鸡工务段,陕西宝鸡721001
出 处:《粘接》2025年第5期77-80,共4页Adhesion
摘 要:多传感器数据融合技术在土工材料领域运用极为关键,它可以增强材料性能评估的全面性与准确性,优化工程设计和施工过程,提升项目安全性、可靠性及经济效益。可以通过多传感器数据融和对土壤、岩石及土工合成材料等实时监测与性能评估。尽管数据融合技术提供了众多益处,但实施过程仍面临数据异构性和大数据处理等挑战。鉴于此,未来研究方向应专注于开发更高效的数据融合算法、提高数据处理能力,并探索集成新型传感器技术与物联网应用,以充分发挥多传感器数据融合技术在土木工程中应用潜力。Multi-sensor data fusion technology is extremely important in the field of geomaterials,which can enhance the comprehensiveness and accuracy of material performance assessment,optimize the engineering design and construction process,and improve the safety,reliability and economic efficiency of the project.Real-time monitoring and performance evaluation of soil,rocks and geosynthetics can be integrated with multi-sensor data.Despite the many benefits offered by data fusion technologies,implementation challenges such as data heterogeneity and big data processing are still present.In view of this,future research directions should focus on developing more efficient data fusion algorithms,improving data processing capabilities,and exploring the integration of new sensor technologies and Internet of Things applications,so as to give full play to the application potential of multi-sensor data fusion technology in civil engineering.
分 类 号:TQ014[化学工程] TP212[自动化与计算机技术—检测技术与自动化装置]
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