幕墙安装建筑机器人系统关键技术研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
随着我国城市化进程的不断加快,建筑幕墙作为现代建筑物的主导性外部装饰,越来越受到人们的青睐。在建筑幕墙安装施工中,普遍存在着工人劳动强度大、现场安全性差、施工效率低、施工质量难以保证、工艺标准不统一等问题。
     本文在国家高技术研究发展计划(863计划)板材安装室内装修机器人系统研究(2007AA04Z240)项目的支持下,根据建筑板材安装工艺与安装施工现场环境特征,开展幕墙安装建筑机器人系统关键技术的研究,旨在研发出适用于建筑幕墙安装的自动化、智能化施工设备。本文将围绕幕墙安装机器人的关键技术进行如下研究:
     1.首先,对目前建筑幕墙手工安装工艺与安装过程中存在的问题进行分析,根据自动化安装的特点,制定出建筑幕墙自动化安装工艺。考察现有国内外建筑机器人及建筑幕墙安装机器人的研究现状,并结合自动化安装工艺对安装机器人结构进行研究与设计。
     2.根据安装机器人的工作流程,应用机器人运动学理论,建立了串并联结构的运动学反解方程。通过仿真软件对并联机构的反解方程进行了验证,为机器人运动控制提供可靠的理论依据。对并联机构的奇异位形进行了分析,并利用数学分析软件对其姿态调整的工作空间进行搜索求解。
     3.针对幕墙安装机器人系统工作过程中操作机械手的低频振动,对安装机器人提升系统结构进行了振动模态分析,确定影响幕墙安装精度的振动模态。结合本系统的振动特性,探索基于被动方式的阻尼抑振方法。根据系统振动参数及阻尼抑振原理,提出一种抑振扶墙机构,使系统振动接近临界阻尼振动达到预期的抑振目标。
     4.运用基于结构光的视觉检测方法检测待安装板材相对于墙体的位置,以克服非结构化建筑环境对图像处理检测精度的影响。通过对结构光视觉数学模型的分析与图像处理算法的研究,建立基于线结构光的视觉检测系统。应用基于神经网络的摄像机在线标定方法,解决复杂建筑环境下的视觉系统参数标定问题。
     最后,研制幕墙安装机器人样机,并在模拟工况和实际工程上对系统进行实验验证。实验结果证明,幕墙安装机器人系统理论依据充分,串并联混合六自由度结构设计合理,能够完成建筑幕墙的自动化安装,提高大型板材安装的自动化水平。
With the accelerating process of urbanization in China, building walls are more andmore favored by people as dominant outdoor decoration of modern buildings. Widespreadproblems are existed in the current building curtain wall installation and construction, suchas: site security is poor, construction efficiency is low, construction quality is difficult toguarantee, manual tasks are labor-intensive and process standards are not uniform.
     Under the support of Research on plate installation and interior decoration robotsystem (2007AA04Z240)in the National High Technology Research and DevelopmentProgram (863Program), according to the building panels installation process andconstruction site environmental characteristics, we carry out the key technology research onrobotic construction equipment of construction curtain wall installation, and aim to developthe automated construction equipment for building curtain wall installation. This article willfocus on the key technologies of building curtain wall installation robot to perform thefollowing studies:
     First, analyses on problems of traditional hand-building curtain wall installationprocess and the installation process have been put forward, and according to thecharacteristics of the automated installation, we have developed a complete automatedinstallation process for building plates. The research status on construction robot and platemounting robot at home and abroad has been analyzed, also, combined with automatedinstallation process, we have research and designing on the structure of the installationrobot.
     According to the installation robot workflow, utilizing the robot kinematics theory, wehave established an inverse kinematics equation of the series-parallel structure. And theinverse kinematics equation of the parallel mechanism was verified by simulation software,also provides a reliable theoretical basis for the robot motion control. We have donesingularity analysis for parallel structure platform, and have used mathematical analysissoftware to make search algorithm on work space of their attitude adjustment.
     For the low-frequency vibration on operating robot in the process of building platesinstalled robot system, we have modal analysis on upgrading system structure of theinstallation robot, depending on the installation process, the vibration modes which affectthe plate mounting accuracy can be determined. The damping vibration suppression methodbased on passive combining the vibration characteristics of the system has been put forward. According to the principle of vibration parameters and damping vibration suppressionsystem, design vibra buttresses institutions to make the system vibration near criticaldamping vibration to achieve the goal of the vibration suppression, and we do experimentalverifications.
     The article selects visual inspection method based on structured light to detect theposition of the pending installation plate relatives to the wall, to overcome the impact of thedetection accuracy of unstructured built environment towards the image processing. By theresearch of the structured light detection mathematical model analysis and imageprocessing algorithms, Visual inspection methods and principles based on structured lightare established. And applying online calibration method based on neural network cameras,to solve visual system parameter calibration problems under complex built environment.Finally, we develop the curtain wall installation robot prototype, and do experimentalverifications both under simulation conditions and in actual engineering. Experimentalresults show that, the structure of the curtain wall installation robot is reasonable, and therobot can complete the automated installation of curtain wall construction, also, to someextent, this system improves the level of automation of large panels installed.
引文
[1]楚风华.十二五中国建筑业发展展望[J].中国建设信息,2011(04):12-17
    [2]刘中贤.建筑幕墙——高层建筑外围结构的主导[J].经营管理者,2011(09):343
    [3]综合报道.住建部通报2011年房屋市政工程生产安全事故情况[N].建筑时报,2012-03-22(02)
    [4]刘海波,武学民.国外建筑业的机器人化[J].机器人,1994,3(16):124-127
    [5]吴成东,刘国怀.建筑机器人技术研究进展[J].建筑机械化,1998,(3):10-13
    [6]孙伟,于永璋.几种建筑机器人概介[J].建筑机械化,1990,(6):22-24
    [7] Dooil Hwang. Experimental study of full scale concrete wall construction using contourcrafting. California: University of Southern California. May2005
    [8] Behrokh Khoshnevis. Automated construction by contour crafting-related robotics andinformation technologies[J]. Automation in Construction,2004,(13):5-19
    [9] Kamel S. Saidi, Jonathan B. O Brien, Alan M. Lytle. Robotics in Construction [M].Handbook of Robotics. Springer,2008-6-27:1079-1097
    [10] Thomas. BockConstruction Robotics [J]. Auton Robot,2007(22):201-209
    [11] Seung Nam Yu, Seung Yeol Lee, Chang Soo Han. Development of the curtain wallinstallation robot: Performance and efficiency tests at a construction site[J]. AutonRobot,2007(22):281-291
    [12]周友行,何清华.国内建设机器人的发展应用前景[J].凿岩机械气动工具,2002,(4):1-4
    [13]冯勇,徐殿国,王炎,杨宏.壁面爬行遥控检查机器人控制系统的研制[J].机器人,1995(1):35-41
    [14]樊炳辉,苏学成,李贻斌等.井下喷浆机器人的运动仿真设计[J].矿山机械,1994(12):24-29
    [15]宋雪莲.国产机器人世博建功[J].中国经济周刊,2010,23(19)
    [16] P. Gonzalez de Santos, J. Estremera, E. Garcia, et al. Power assist devices forinstalling plaster panels in construction [J]. Automation in Construction,2008(17):459-466
    [17] Frans van Gassel, Pascal Schrijver, Jos Lichtenberg. ASSEMBLING WALL PANELS WITHROBOTIC TECHNOLOGIES [C]. ISARC.2006.728-736
    [18] Hyeun-Seok Choia, Chang-Soo Hana, Kye-young Leeb, etc. Development of hybrid robotfor construction works with pneumatic actuator[J]. Automation in Construction,2005(14):452-459
    [19] S.Y. Lee, J. Lee, C.S. Han, K.Y. Lee, S.H. Lee. Human robot cooperative control andtask planning for a glass ceiling installation robot, Proc. Intl. Symp. Autom AndRobotics in Construction,2008:181–186.
    [20] S.Y. Lee, J. Lee, C.S. Han, K.Y. Lee, S.H. Lee, Chang Soo Han. Automation Systemfor Curtain Wall Installation [C], ISARC,2006.710-715
    [21]柳洪义,宋伟刚.自动贴瓷砖机器人系统[J].机器人技术与应用,2002(4):32-33
    [22] R. Navon. Process and quality control with a video camera, for a floor-tillingrobot[J]. Automation in Construction,2000:113-125
    [23] Gonzalez de Santos P, Estremera J, Garcia E, et al. Power assist devices forinstalling plaster panels in construction [J]. Automation in Construction,2008,(17):459-466
    [24] http://www.ggrgroup.com/robots-overhang-beams/geko-250-electric-pv-plus/
    [25]张芹.我国建筑幕墙的发展[C].2008年全国铝门窗幕墙行业年会论文.广州:2008:7-9
    [26]中国建筑科学研究院. JGJ3-2010[S],2010,《高层建筑混凝土结构技术规程》.北京:中国建筑工业出版社,2010
    [27] http://baike.baidu.com/view/1101707.htm
    [28]何星华,王洪涛,黄政等. GB/T21086-2007[S],2007,《建筑幕墙》.北京:中国标准出版社,2007
    [29]董志龙,杨玉华,陈向阳.大块GRC板干挂幕墙的设计与施工技术[J].建筑技术,2006,37(9):668-670
    [30]周俊兴,魏艳,王景祥. JC830.1-830.2-2005[S],2005,《干挂饰面石材及其金属挂件》.北京:中国标准出版社,2005
    [31]李怀亮,魏华,丁玉峰.对石材干挂工程相关问题的看法[J].中国建筑装饰.2005,23(5):23-31
    [32]饶平山.玻璃幕墙的应用及其发展[J].工业建筑,1999,29(12):33-34
    [33]赵锋.浅谈玻璃幕墙的安装[J].浙江建筑,1998(3):41-42
    [34]崔卫,史英麒.单元式玻璃幕墙与构件式玻璃幕墙的对比分析[J].门窗,2010(05):10-12
    [35]张绍纲,张欣,张建平等. GB5237.1-2008[S],2008,《铝合金建筑型材标准》.北京:中国标准出版社,2005
    [36]刘志强,胡保生,关晓红.人机系统及其基本理论[J].系统工程与电子技术,1990(7):17-25
    [37] Lenat D B, Feigenbaum E A, On the thresholds of knowledge[J]. ARTIFICIAL INTELLIGENCE,1991(47):185-230
    [38]路甬祥,陈鹰.人机一体化系统与技术—21世纪机械科学的重要发展方向[J].机械工程学报,1994,30(5):1-7
    [39]杨灿军,陈鹰.人机一体化系统建模初探[J].制造业自动化,1997,19(1):1-5
    [40]陈恳,杨向东,刘莉,杨东超.机器人技术与应用[M].北京:清华大学出版社,2006
    [41]赵云峰,程丽,赵永生.3-UPS/S并联机构运动学分析及机构优化设计[J].机械设计,2009,26(1):46-49
    [42] Alici G, Shirinzadeh B. Topology optimization and singularity analysis of a3-SPSparallel manipulator with a passive constraining spherical joint[J]. Mechanism andMachine Theory,2004,39(2):215-235.
    [43] Ming Z Huang, Shou-Hung Ling, Yang Sheng, A study of velocity kinematics for hybridmanipulators with parallel–series configurations[C], Robotics and Automation. IEEEInt. Conf.1993
    [44] Lee K M, Shah D K, Kinematic analysis of a three-degrees-of-freedom in-parallelactuated manipulator[C]. IEEE Journal Robotics and Automation.1988,4(3):354–360
    [45]吴善强.低噪声负压吸附爬壁机器人系统研究[D].哈尔滨:哈尔滨工业大学,2007
    [46] Z. Y. Zhang. Camera Calibration with One-Dimensional Objects[C]. IEEE Transactionson Pattern Analysis and Machine Intelligence.2004,26(7):892-899
    [47] Navon R. Process and quality control with a video camera, for a floor-tilling robot[J].Automation in Construction,2000,10(1):113–125
    [48]黄真,李艳文,高峰.空间运动构件姿态的欧拉角表示[J].燕山大学学报,2002,26(3):189-192
    [49]刘辛军,吴超,汪劲松.[PP]S类并联机器人机构姿态描述方法[J].机械工程学报,2008,44(10):19-23
    [50]黄真,等.并联机器人机构学理论及控制[M].北京:机械工业出版社,1997:385-396
    [51]查展鹏,一种三自由度机器人运动学分析[J].船舶科学技术,2007,29(1):44-47
    [52]邓飞,李文忠.3-PSP并联机构的空间位置正解分析[J].机械设计,2009,26(1):41-45
    [53]王丹,郭辉,孙志礼.基于ADAMS的3_RPS型并联机器人位姿的正解与逆解[J].东北大学学报,2005,26(12):1185-1187
    [54]闫述,王旭永,陶建峰,等.三自由度摇摆台姿态逆解及ADAMS仿真[J].系统仿真学报,2008,20(2):325-327
    [55]刘更谦.基于3-RSS/S结构踝关节康复并联机器人系统研究[D].天津:河北工业大学,2007
    [56]李艳文.几类空间并联机器人的奇异研究[D].秦皇岛:燕山大学,2005
    [57]罗建国,韩建友.空间机构奇异分类新方法研究[J].机械设计,2010(4):1-8
    [58]罗建国,韩建友.基于微分几何理论的机构研究方法[J].机械设计,2011(05):1-5
    [59]王民,费仁元,吴季茂.电流变材料抑振机构动态性能测试与分析[J].机械工程学报,2008,41(10):196-200
    [60] Johnson C D. Design of passive damping system [J]. Special50th Anniversary DesignIssue Trans of ASME,1995,117(1):171-176
    [61]楚中毅,崔晶,孙立宁,等.双重驱动平面并联机器人的振动控制[J].清华大学学报(自然科学版),2006,46(1):153-156
    [62]沈莉芳.基于ANSYS的叉车门架结构计算机辅助分析[J].计算机工程应用技术,2007(40):383-385
    [63]赵坚,王太勇,胡世广.基于模态综合方法的叉车门架系统振动特性研究[J].机械强度,2006,28(3):429-432
    [64]王岩.液压驱动双曲柄连杆同步升降平台的运动特性研究[D].兰州:兰州理工大学,2010
    [65]丁毓峰等. ANSYS12.0有限元分析完全手册[M].北京:电子工业出版社,2011
    [66]郝钟雄. ANSYS与CAD软件的接口问题研究[J].机械设计与制造,2007(7):75-76
    [67] E. Rocon, L. Bueno, A.Ruiz, et al. Discussion on control of tremor suppression viabiomechanical loading [J]. Assistive Technology-Shaping the Future,2003:832-836
    [68]冯永慧.高速电梯水平振动主动控制研究[D].上海:上海交通大学,2008
    [69] Sadri A. M., Wynne R. J., Wright J. R.. Robust strategies for active vibration controlof strain actuated plate like structures[J]. In Proceedings of the1998InternationalConference on Control Control, Swansea, UK,1998,1(455):213~218
    [70] DOAN M, ISTEFANOPULOS Y. Optimal nonlinear controller design for flexible robotmanipulators with adaptive internal model[J]. IET Control Theory&Applications,2007,1(3):770-778.
    [71] CHEONG J, CHUNG W K, YOUM Y. Two-step controller for3D flexible link manipulators:Bandwidth modulation and modal feedback approach[J]. ASME Journal of Dynamic System,Measurement and Control,2002,124(12):566-574.
    [72] DADFARNIA M, JALILI N. A Lyapunov-based piezoelectric controller for flexiblecartesian robot manipulators[J]. ASME Journal of Dynamic System, Measurement andControl,2004,126(6):347-358.
    [73]吴大方,刘安成,麦汉超,等.压电智能柔性梁振动主动控制研究[J].北京航空航天大学学报,2004,30(2):160-163.
    [74]敖宏瑞,姜洪源,闫辉,等.基于小波变换的金属橡胶干摩擦系统阻尼识别[J].机械设计,2004,21(7):27-30.
    [75]刘笑含.干挂安装板材机器人系统关键技术研究[D].天津:河北工业大学,2011
    [76]丁毓峰等. ANSYS12.0有限元分析完全手册[M].北京:电子工业出版社,2011
    [77] Gonzalezde Santos P, Estremera J,Garcia E, etal.Power assist devices for installingplaster panels in construction[J]. Automation in Construction,2008,17(4):459-466
    [78] Choia H S, Han C S, Lee K Y, et al. Development of hybrid robot for constructionworks with pneumatic actuator[J]. Automation in Construction,2005,14(4):452–459
    [79] Peter Lindsey, Andrew Blakeeter Lindsey, Andrew Blake. Real-time tracking ofsurfaces with structured light[J]. Image and Vision Computing,1995,13(7):585-59
    [80]周维,鲍远津,於俊.关于抑制光线强度变化影响的运动目标检测[J].计算机仿真,2006,23(3):167-171
    [81]杨杰,付忠良,阮波,照度不均匀图像的快速自适应灰度修正[J].计算机应用,2005,25(3):598-602
    [82] Lee B Y, Juan H, Yu S F. A study of computer vision for measuring surface roughnessin the turning process[J].Advanced Manufacturing Technology,2002,19:295-301
    [83]张贞子.机器人视觉定位及跟踪[D].哈尔滨:哈尔滨工业大学,1997,10
    [84] Roger Y, Tsai. An Efficient and Accurate Camera Calibration Technique for3D MachineVision and Pattern Recognition[J]. Miami Beach, FL1986:364-374
    [85]朱振友.焊接机器人初始焊位视觉识别与导引研究[D].上海:上海交通大学,2004
    [86]孙立新,韩炜,刘冰清等.结构光焊缝检测传感器设计理论的研究[J].光学学报,2003,23(2):225-230
    [87]章毓晋.图像工程(上册):图像处理和分析[M].北京:清华大学出版社,2001
    [88] Qi Wang, Qi Li, Zhe Chen, Jianfeng Sun, Rui Yao. Range image noise suppression inlaser imaging system[J]. Optics&Laser Technology, March2009,41(2):140-147
    [89] P. Schmid. Segmentation of Digitized Dermatoscopic Images by Two Dimensional ColorClustering[J]. IEEE Trans. On Medical Imaging,1999,18(2):164-171
    [90] I. Grinias and G. Tziritas. A Semi-Automatic Seeded Region Growing Algorithm forVideo Object Localization and Tracking[J]. Signal Processing: ImageCommunication,2001,16(10):977-986
    [91] Karl Peterson, Jeremy Carlson, Lawrence Sutter, Thomas Van Dam. Methods for thresholdoptimization for images collected from contrast enhanced concrete surfaces forair-void system characterization[C]. Materials Characterization, In Press,Accepted Manuscript, Available online1November2008
    [92] Shapiro B, Pisa J, Sklansky. Skeleton generation from x, y boundary sequences [J].Computer Graphics Images Processing,2001,15(2):136-153
    [93] Z. Y. Zhang. A Flexible New Technique for Camera Calibration[C]. IEEE Transactionson Pattern Analysis and Machine Intelligence.2000,22(11):1330-1334
    [94] Z. Y. Zhang. Camera Calibration with One-Dimensional Objects[C]. IEEE Transactionson Pattern Analysis and Machine Intelligence.2004,26(7):892-899
    [95] R. Hartley, A. Zisserman. Multiple View Geometry in Computer Vision[D]. England:Cambridge University Press.2000
    [96]吴福朝,李华,胡占义.基于主动视觉的摄像机自标定方法研究[J].自动化学报,2001,27(6):736-746
    [97] Y. C. Jiang, Z. Y. Hu. An Intrinsic Parameters Self-Calibration Technique for ActiveVision System[J]. In Proc. of ICPR.1998:67-69
    [98]段发阶,刘凤梅,叶声华.一种新型线结构光传感器结构参数标示方法[J].仪器仪表学报,2000,21(4):108-110
    [99]邾继贵,李艳军,叶声华.基于共面标定参照物的线结构光传感器快速标定方法[J].中国机械工程,2005,17(2):183-186
    [100]周富强,张广军.表面视觉传感器模型参数的简易标定方法[J].机械工程学报,2005,41(3):175-179
    [101]邓春梅,陈吉红,周会成,师汉民.激光线结构光数控测量系统的标定[J].华中理工大学学报.2000,28(3):19-2
    [102]田震,张玘,熊九龙,王国超.基于神经网络的大范围空间标定技术[J].光学学报.2011,4(31):
    [103]华希俊,李永超,王木菊等.基于BP神经网络的摄像机标定方法研究[J].机械设计与制造,2010(11):51-53
    [104]葛哲学,孙志强.神经网络理论与MATLAB R2007实现[M].北京:电子工业出版社,2007
    [105] Robert J Schilling, James J Carroll, Ahmad F Alajlouni. Approximation of nonlinearsystems with radial basis function networks[J]. IEEE Trans Neural Networks,2001,12(1):1-14