上海交通大学学报

上海交通大学学报 ›› 2014, Vol. 48 ›› Issue (11): 1536-1540.

• 建筑科学 • 上一篇    下一篇

壁面粘贴质量检测系统设计

周志琨1，杨淞1，金桂华2，王俊伟2，赵言正1   

  1. （1.上海交通大学 机器人研究所，上海 200240； 2.上海市房地产科学研究院，上海 200031）
  • 收稿日期:2013-01-22 出版日期:2014-11-28 发布日期:2021-04-26
  • 基金资助:

    上海市住房保障和房屋管理局科研课题（FG201012）资助

Design and Research of a Detecting System for Hollowing Wall

ZHOU Zhikun1，YANG Song1，JIN Guihua2，WANG Junwei2，ZHAO Yanzheng1   

  1. （1. Research Institute of Robotics， Shanghai Jiaotong University， Shanghai 200240， China；2. Shanghai Real Estate Science Research Institute, Shanghai 200031, China）
  • Received:2013-01-22 Online:2014-11-28 Published:2021-04-26

摘要：

摘要：  利用空鼓壁面与正常壁面接受同种敲击体敲击产生音频特性的不同，设计一种以负压吸附爬壁机器人为载体的壁面粘贴质量检测诊断系统，通过计算机软件实现敲击声音信号的提取、分析与处理.音频信号被转化为数字信号后,利用Matlab软件进行数字信号处理：首先应用高通滤波器滤除信号中的风机噪声信号，继而对滤波后的音频信号进行特征参数的分析提取，根据所得特征参数筛选与正常信息不相吻合的故障参数，最终实现对空鼓的判定.实验结果表明，该方法简单易行，准确度较高.

关键词: 空鼓检测, 滤波, 负压吸附, 信号处理

Abstract:

Abstract： Utilizing the differences of the knocking sound between the hollowing wall and normal wall, a detecting system was designed with a wall clamping robot as its carrier. After filtering the sound signals with HPF (high pass filter) in matlab programing, the signals were processed and the characteristic parameters of the signals were obtained. After comparing the results with the parameter of the normal signal, the decision was made whether the hollowing phenomenon exists. The experiment results show that this method is easy to use with high precision, and it can replace human beings to complete dangerous tasks.

Key words: hollowing detection, filtering, negative adsorption, signal processing

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