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桩基成孔智能检测平台的研究与设计 被引量:1

Research and Design of Intelligent Pile Foundation Hole Detection Platform
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摘要 在高速公路、高层建筑、桥梁工程等工程中,桩基工程是非常重要的一个模块。而由于外部施工环境较为复杂,导致桩基质量控制难度较大。因此,以桩基成孔检测技术为研究主体,阐述了一种桩基成孔智能检测技术。通过超声波的频谱特征进行深入研究工作,利用Gabor变换对桩基检测采样信号进行预处理,并结合孔内视频图像采集信息由数据传输模块上传至数据分析软件,实现检测数据同步存档功能的同时,采用大数据分析在线矫正单一设备分析结果的准确性,最终以图文并茂的方式再现数字化参数。实现桩基成孔参数精准测量和自动智能判别,同时系统后台支持多用户分权限登录,满足建设管理单位授权对监理单位、施工单位等多方人员同步实时获取检测结果。通过实际测试运行表明,该系统测量成孔参数准确性高,为类似桩基工程质量控制工作开展提供一定的借鉴。 Pile foundation engineering is a quite important module in highways,high-rise buildings,bridge projects and other projects.Due to the complicated external construction environment,the quality control of the pile foundation is difficult.Therefore,pile-based hole detection technology as the research subject,we expound a smart pile foundation hole detection technology.Through the in-depth research work of the ultrasonic spectrum characteristics,the Gabor transform is used to preprocess the pile base detection sampling signal.Combined with the video image acquisition information in the hole,the data transmission module is uploaded to the data analysis software to realize the synchronous data archiving function.At the same time,the data analysis is used to correct the accuracy of the single device analysis result,and finally the digital parameters are reproduced in an illustrated manner.Accurate measurement and automatic intelligent identification of pile foundation hole parameters are realized,while the system backend supports multi-user sub-authorization registration and meets the authorization of the construction management unit to obtain the test results in real time by the supervisory unit and the construction unit.The actual test operation shows that the system has high accuracy in measuring the parameters of the hole,which provides a reference for the quality control work of the pile foundation project.
作者 陈曦鸣 朱克亮 吴自明 王震海 徐宁 CHEN Xi-ming;ZHU Ke-liang;WU Zi-ming;WANG Zhen-hai;XU Ning(Construction Branch of State Grid Anhui Electric Power Co.,Ltd.,Hefei 230001,China)
出处 《计算机技术与发展》 2020年第9期171-176,共6页 Computer Technology and Development
基金 国家电网科学基金资助(JS20190700103)。
关键词 成孔质量 频谱特征 GABOR变换 可视化 智能判别 hole quality spectrum characteristics Gabor transform visualization intelligent discriminant
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