摘要
目前,城市工业化进程不断发展,土地资源日益匮乏。高层建筑能够合理有效地利用土地资源,缓解现有土地资源紧张局势。而为了保障高层建筑正常使用和建设安全,合理有效地监测建筑物倾斜度尤为重要。论文通过搭建建筑物模型,模拟高层建筑倾斜过程,通过SCA100T倾角传感器及无线射频收发模块将数据传至上位机,实时获取高层建筑倾角变化数据,并利用小波变换时频特性去除噪声信号,获取建筑物真正倾角变化曲线及处理后数据,并以处理后的数据作为建筑为倾斜实际判断预警依据,通过倾斜度计算获得建筑物实际位移数据,并对进一步研究做出展望。
At present,the process of urban industrialization develops continuously,but the land resources become scarce.Hence the high-rise buildings will be reasonable for the effective use of the land resources,and for easing its tensions.In order to guarantee the normal use of high-rise buildings and the construction safe,effectively monitoring the building gradient became special important.In this paper,a building model is introduced to simulate the high-rise building inclination process,the relevant data is transmitted to a host computer through the SCA100T tilt sensor and a radio frequency transceiver module.The data of the inclination of the high-rise building are obtained in real time,while the noise signal removed by wavelet transform.Then the actual inclination angle of the building can be obtained,the criterion for the building inclination will based on the new data after treatment,the actual data of the building can be obtained by the vertical gradient calculation easily.The further research is also forecasted.is transmitted to a host computer through the SCA100T tilt sensor and a radio frequency transceiver module.The data of the inclination of the high-rise building are obtained in real time,while the noise signal removed by wavelet transform.Then the actual inclination angle of the building can be obtained,the criterion for the building inclination will based on the new data after treatment,the actual data of the building can be obtained by the vertical gradient calculation easily.The further research is also forecasted.
作者
冀鹏超
曾春平
马琨
叶飞
JI Pengchao;ZENG Chunping;MA Kun;YE Fei(School of Science,Kunming University of Science and Technology,Kunming 650093)
出处
《计算机与数字工程》
2018年第3期512-517,共6页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:51278235)
云南省教育厅重大项目(编号:KKJI201507001)
云南省高校结构健康诊断重点实验室资助