密集储分货架系统变形监测数学模型应用研究
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摘要
密集储分一体化系统DCASS货架是否稳定关系到整个物流仓储系统的安全性,建立数学模型并采用合理的分析方法对货架系统进行变形监测,是准确把握货架变形特征并保证其稳定性的重要研究方法。文章应用多元回归分析、灰色系统及卡尔曼滤波等3种变形分析模型对观测数据进行对比,建立了DCRP检校、平面时间基线视差与空间时间基线视差等3种数学模型,并对密集储分DCASS货架系统进行瞬间变形监测实验的应用研究。结果表明:灰色系统模型可以使用较少的数据而得到较好的预测结果,卡尔曼滤波模型预测结果较为稳定可靠;采用DCRP方法对DCASS货架系统进行瞬间变形监测,可以实现对目标系统变形监测的多点化、全天候、动态化、瞬时性以及非接触式监测;变形监测实验能够精确捕捉各变形点的变形量,货架稳定性得到了有效校验,监测精度可达2‰。
The stability of the racking system in DCASS is related to the safety of the whole logistics warehousing,and it is an important work to analyze and predict the stability of the racking system and to grasp the deformation characteristics of the system accurately by establishing mathematical model.Three deformation analysis models such as multivariate regression analysis,grey system and Kalman filter are used to analyze the deformation of observation data. Three deformation monitoring mathematic models such as DCRP calibration model,Plane Pseudo Parallax model and Spatial Temporal Motion Parallax model are used to carry out the instantaneous deformation monitoring experiments on the DCASS racking system in normal state. The results show: the grey system model can use less data to obtain better prediction; the prediction results of Kalman filter model are stable and reliable the deformation monitoring experiment can accurately capture the deformation of every deformation point,the racking stability has been effectively verified,and the monitoring accuracy can reach 2‰.
The stability of the racking system in DCASS is related to the safety of the whole logistics warehousing,and it is an important work to analyze and predict the stability of the racking system and to grasp the deformation characteristics of the system accurately by establishing mathematical model.Three deformation analysis models such as multivariate regression analysis,grey system and Kalman filter are used to analyze the deformation of observation data. Three deformation monitoring mathematic models such as DCRP calibration model,Plane Pseudo Parallax model and Spatial Temporal Motion Parallax model are used to carry out the instantaneous deformation monitoring experiments on the DCASS racking system in normal state. The results show: the grey system model can use less data to obtain better prediction; the prediction results of Kalman filter model are stable and reliable the deformation monitoring experiment can accurately capture the deformation of every deformation point,the racking stability has been effectively verified,and the monitoring accuracy can reach 2‰.
引文
[1]赵永谦.密集储分一体货架系统稳定性及变形监测研究[D].济南:山东大学,2016.
[2] Chen M Z,Zhao Y Q,Yu C X,et al. Exploring of PST-TBPM in monitoring dynamic deformation of steel structure in vibration[J].Material Applied Mechanics and Materials,2017,108(2):22-29.
[3] Yu C X,Zhang G J,Zhao Y Q,et al. Observing bridge dynamic deflection in Green Time by information technology[J]Material Applied Mechanics and Materials,2017,108(2):55-62.
[4] Yu C X,Zhang G J,Liu X D,et al. Monitoring bridge dynamic deformation in vibration bydigital photography system[J]. Material Applied Mechanics and Materials,2017,108(2):76-83.
[5]于承新,蓝悦明,张桂玉,等.灰色系统理论用于形变分析的探索[J].山东建筑工程学院学报,1999,14(2):42-45.
[6]赵永谦.变形分析的数学拟合应用研究[J].山东科学,2008,21(1):21-24.
[7]文鸿雁.基于小波理论的变形分析模型研究[D].武汉:武汉大学,2004.
[8]刘苏.数字近景摄影测量技术在砌体结构地震动变形监测中的应用研究[D].济南:山东建筑大学,2010.
[9]丁新华,刘苏,王怀林.三维时间基线视差法在物流货架震动变形监测中的应用[J].山东科学,2011,24(4):52-57.
[10]赵永谦,陈绪慧,岳冲,等.近景摄影测量在钢结构货架抗震稳定性方面的研究[J].测绘与空间地理信息,2014,37(11):213-215.
[11] Yu C X,Ding X H,Chen M Z,et al. The application of digital cameras in monitoring dynamic deformation of steel shelf[J].Applied Mechanics and Materials,2013,405-408:873-877.
[12] Zhao Y Q,Wu Y H,Yu C X. Research on instantaneous dynamical deformation monitoring the masonry structure based on artificial earthquake motion[J]. International Journal of Hybrid Information Technology,2015,8(10):241-252.
[13] Zhao Y Q,Wu Y H,Yu C X. Instantaneous deformation monitoring research on the dense channels accessing-Sorting System[J].International Journal of u-and e-Service,Science and Technology,2016,9(3):97-106.
[14]于承新,巩建国,陈明志,等.三维时间基线视差法在变形监测中的应用研究[J].山东建筑工程学院学报,2003,18(3):26-29.
[15]边广生,寇展华,李伟.单向叠合板开裂影响因素及堆放方案优化研究[J].山东建筑大学学报,2018,33(4):24-27,50.
[16]周学军,王周泰,郭强,等. P-SFG体系整体结构模型抗震性能分析[J].山东建筑大学学报,2018,33(2):1-7.
[17] GB/T 28576—2012,工业货架设计计算[S].北京:中国计划出版社,2012.
[2] Chen M Z,Zhao Y Q,Yu C X,et al. Exploring of PST-TBPM in monitoring dynamic deformation of steel structure in vibration[J].Material Applied Mechanics and Materials,2017,108(2):22-29.
[3] Yu C X,Zhang G J,Zhao Y Q,et al. Observing bridge dynamic deflection in Green Time by information technology[J]Material Applied Mechanics and Materials,2017,108(2):55-62.
[4] Yu C X,Zhang G J,Liu X D,et al. Monitoring bridge dynamic deformation in vibration bydigital photography system[J]. Material Applied Mechanics and Materials,2017,108(2):76-83.
[5]于承新,蓝悦明,张桂玉,等.灰色系统理论用于形变分析的探索[J].山东建筑工程学院学报,1999,14(2):42-45.
[6]赵永谦.变形分析的数学拟合应用研究[J].山东科学,2008,21(1):21-24.
[7]文鸿雁.基于小波理论的变形分析模型研究[D].武汉:武汉大学,2004.
[8]刘苏.数字近景摄影测量技术在砌体结构地震动变形监测中的应用研究[D].济南:山东建筑大学,2010.
[9]丁新华,刘苏,王怀林.三维时间基线视差法在物流货架震动变形监测中的应用[J].山东科学,2011,24(4):52-57.
[10]赵永谦,陈绪慧,岳冲,等.近景摄影测量在钢结构货架抗震稳定性方面的研究[J].测绘与空间地理信息,2014,37(11):213-215.
[11] Yu C X,Ding X H,Chen M Z,et al. The application of digital cameras in monitoring dynamic deformation of steel shelf[J].Applied Mechanics and Materials,2013,405-408:873-877.
[12] Zhao Y Q,Wu Y H,Yu C X. Research on instantaneous dynamical deformation monitoring the masonry structure based on artificial earthquake motion[J]. International Journal of Hybrid Information Technology,2015,8(10):241-252.
[13] Zhao Y Q,Wu Y H,Yu C X. Instantaneous deformation monitoring research on the dense channels accessing-Sorting System[J].International Journal of u-and e-Service,Science and Technology,2016,9(3):97-106.
[14]于承新,巩建国,陈明志,等.三维时间基线视差法在变形监测中的应用研究[J].山东建筑工程学院学报,2003,18(3):26-29.
[15]边广生,寇展华,李伟.单向叠合板开裂影响因素及堆放方案优化研究[J].山东建筑大学学报,2018,33(4):24-27,50.
[16]周学军,王周泰,郭强,等. P-SFG体系整体结构模型抗震性能分析[J].山东建筑大学学报,2018,33(2):1-7.
[17] GB/T 28576—2012,工业货架设计计算[S].北京:中国计划出版社,2012.