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in the layout,a single strand straightener is shown,which should be the proper design for this range of products.please clarift and correct.
it is mentioned that in housingless stands,the load bearing angle of bearing are 120 degrees,twice as much as conventional stands.Why this angle is any different from conventional stands.
are all Universal stands identical?The roll sizes do not change from the first stands of the tandem mill to the last?
Cooling bed length of 78 meters is too short.We should add anonther 12 or 24 meters to it.Cooling calculations should be done with a site ambient temperature of 40℃,which is normal in summer time.
With a roller interspacing of 1200mm and 105 rolls,the length of bed run-in table would be more than 100 meter,as it is mentioned in the text.Please clarift.
Again it is assumed that the straigthener is amulti-strand one(discharging from bed in layers).Please clarift.
it is mentioned that the run out table length is 66meter. How this would be possible while the length of the bar on cooling bed could be close to 78 meters?The length of run-out should be adjusted after deciding about the bed length(90 or 102 meters)
在地面区划中,滨弄直被显示,这应该是 products.please clarift 的这一范围的适当设计而且改正。
一般提到,在无住屋的台子,举止的负荷举止角度是 120 度,两次像传统的台子一样的很多。为什么这一个角度是任何的不同传统的台子。
所有的全世界的台子是同一的吗?卷物大小不从纵排压榨机的第一个台子改变到最后?
78 公尺的冷却床长度太短。我们应该把 anonther 12 or 24 公尺加入它。冷却计算应该与 40 的位置周围温度一起做℃,在夏天时间,常态是哪一个。
藉由滚筒 1200 毫米和 105个卷物的间隔,床的长度跑 - 在桌子中会不只是 100 公尺,当它被在本文提到之时。请 clarift 。
再一次它被假定 straigthener 是 amulti-搁浅一.(在层中从床卸货)请 clarift 。
它被提到奔跑出自桌子长度是 66 公尺。 当在冷却的床上的酒吧的长度可能是接近 78 公尺的时候,这会如何是可能的?奔跑的长度-在决定有关床长度的事之后在外应该被调整 (90 or 102 公尺)
我找了半天,只有这个了,先凑合一下吧!
it is mentioned that in housingless stands,the load bearing angle of bearing are 120 degrees,twice as much as conventional stands.Why this angle is any different from conventional stands.
are all Universal stands identical?The roll sizes do not change from the first stands of the tandem mill to the last?
Cooling bed length of 78 meters is too short.We should add anonther 12 or 24 meters to it.Cooling calculations should be done with a site ambient temperature of 40℃,which is normal in summer time.
With a roller interspacing of 1200mm and 105 rolls,the length of bed run-in table would be more than 100 meter,as it is mentioned in the text.Please clarift.
Again it is assumed that the straigthener is amulti-strand one(discharging from bed in layers).Please clarift.
it is mentioned that the run out table length is 66meter. How this would be possible while the length of the bar on cooling bed could be close to 78 meters?The length of run-out should be adjusted after deciding about the bed length(90 or 102 meters)
在地面区划中,滨弄直被显示,这应该是 products.please clarift 的这一范围的适当设计而且改正。
一般提到,在无住屋的台子,举止的负荷举止角度是 120 度,两次像传统的台子一样的很多。为什么这一个角度是任何的不同传统的台子。
所有的全世界的台子是同一的吗?卷物大小不从纵排压榨机的第一个台子改变到最后?
78 公尺的冷却床长度太短。我们应该把 anonther 12 or 24 公尺加入它。冷却计算应该与 40 的位置周围温度一起做℃,在夏天时间,常态是哪一个。
藉由滚筒 1200 毫米和 105个卷物的间隔,床的长度跑 - 在桌子中会不只是 100 公尺,当它被在本文提到之时。请 clarift 。
再一次它被假定 straigthener 是 amulti-搁浅一.(在层中从床卸货)请 clarift 。
它被提到奔跑出自桌子长度是 66 公尺。 当在冷却的床上的酒吧的长度可能是接近 78 公尺的时候,这会如何是可能的?奔跑的长度-在决定有关床长度的事之后在外应该被调整 (90 or 102 公尺)
我找了半天,只有这个了,先凑合一下吧!
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计算机视觉系统用于工业生产线的难点是系统要达到的实时性、精准性和鲁棒性。所论述的“视觉反馈控制的完全分钢系统”是用于钢铁企业恶劣环境和复杂工况下的由多个摄像头构成计算机视觉系统。系统通过分析多个摄像头连续采集的螺纹钢在传送链床上的分布图像,控制多个分钢机构协调动作,实现十几米的螺纹钢的自动分离。主要内容有:
系统设计。分析了已有的计数和端头分钢系统,确定了在棒材一端已经分离的初始状态下,依次控制分钢楔上升,将棒材完全分离的方案;提出了分段检测的多目视觉方案,降低了多目视觉系统的难度,使系统容易安装维护,提高了系统的鲁棒性。
图像信息分析。包括滤波去噪、棒材区域分割、分离开口状况检测等。根据工作面图像的特点,采用用平滑度和平滑方向可调的序贯快速滤波算法滤掉垂直边缘噪声和其他噪声;提出了一种结合图像边缘特征来进行二值化的方法。在现场环境光强度有较大变化、各处目标的灰度值存在较大差异的情况下,仍然能够快速准确的目标检测;提出了基于先验知识的分钢开口边界检测流程。即根据分钢楔已有的动作,推断需要检测区域的中心线,从中心线向两侧检测开口区域边界点集合,然后利用霍夫变换拟合出最能表征这些点集的直线方程。该方法鲁棒性好,适合于噪声较大、边界点不连续的情况,而且满足系统的实时性要求。
多分钢动作决策。在分段检测的多目视觉的框架下,提出了多分钢楔全局优化的技术路线,在整个分离过程中尽可能少地使用分钢楔,提高效率。
设计并实现完全分钢仿真平台,在实验室完成了基本程序的调试和方案的验证工作,并且在仿真平台的基础上完成了系统的工程实现。
现场使用表明,本文所设计的系统结构和算法是有效的、可行的,为新系统的推广奠定了良好基础。
Regarding the usage of Computer vision system in industrial production line, the difficulty are always real-time, accuracy and robustness of the system As discussed in this article, “Entirely spilt-steel system by visual feedback control” refers to the computer visual system with multi-cameras, being applicable to the steel& iron enterprises with rough and complex working conditions. The system analyzes the distributed images of the deformed steel bar on forwarder, and then controls multi-spilt-steel components to a coordinated actions, achieving the auto-spilt of the around 10m deformed steel bar. The contents are as followed:
system design.
Analyze all existing splitting-steel system for counting and spilt-steel tips. A program is set to lift the spilt-steel wedge in turn and make the steel-bar separated completely in the situation where one end of the steel-bar has been separated. Propose a visual system design of multilist for subsection detection, and decrease difficulty of the multilist visual system, which is also a good help for the installation and maintenance, increasing the robustness of the system.
Analysis of the image data. Including filtering and cleaning up, section seperation of steel-bar, examination and detection of separation opening. According to the specification of the working image, take smoothness and direction smoothness adjustable sequence-quick filtering as a method to filter noise from vertical edges and other directions. Propose a method to apply binaryzation by combining with specifications of image edges.
In the situation where light intensity and target gray value varies greatly, it still achieve quick and correct detection. Propose a edge detecting process basing on existing knowledges and experiences.
According to the existing motion of spilt-steel bar, it can determine the centerline of the area under detection, and then matches and fits the equation of the straight line which can best indicate and describe the point set by means of Hough Transform. The method is of good robustness, being applicable to the situation with strong noise and discrete frontier point, and it can meet the needs of the system timeliness.
Decision-making of multi-spilt-steel. In the framework of multilist visual system, it selects an appropriate technology pathway to optimize overall the multi-spilt-steel wedge. It increases the efficiency when it use less spilt-steel wedge during the process of separation. It designs and achieves a completely imitation of the spilt-steel framework, with basic program debugging and design validation completed in the lab; then it is applied to the systematical engineering basing on the imitation framework.
On-site usage indicates that the system structure and algorithm are both of effectiveness and feasibility, and it lays a steady consolidation for the widespread of this new system.
系统设计。分析了已有的计数和端头分钢系统,确定了在棒材一端已经分离的初始状态下,依次控制分钢楔上升,将棒材完全分离的方案;提出了分段检测的多目视觉方案,降低了多目视觉系统的难度,使系统容易安装维护,提高了系统的鲁棒性。
图像信息分析。包括滤波去噪、棒材区域分割、分离开口状况检测等。根据工作面图像的特点,采用用平滑度和平滑方向可调的序贯快速滤波算法滤掉垂直边缘噪声和其他噪声;提出了一种结合图像边缘特征来进行二值化的方法。在现场环境光强度有较大变化、各处目标的灰度值存在较大差异的情况下,仍然能够快速准确的目标检测;提出了基于先验知识的分钢开口边界检测流程。即根据分钢楔已有的动作,推断需要检测区域的中心线,从中心线向两侧检测开口区域边界点集合,然后利用霍夫变换拟合出最能表征这些点集的直线方程。该方法鲁棒性好,适合于噪声较大、边界点不连续的情况,而且满足系统的实时性要求。
多分钢动作决策。在分段检测的多目视觉的框架下,提出了多分钢楔全局优化的技术路线,在整个分离过程中尽可能少地使用分钢楔,提高效率。
设计并实现完全分钢仿真平台,在实验室完成了基本程序的调试和方案的验证工作,并且在仿真平台的基础上完成了系统的工程实现。
现场使用表明,本文所设计的系统结构和算法是有效的、可行的,为新系统的推广奠定了良好基础。
Regarding the usage of Computer vision system in industrial production line, the difficulty are always real-time, accuracy and robustness of the system As discussed in this article, “Entirely spilt-steel system by visual feedback control” refers to the computer visual system with multi-cameras, being applicable to the steel& iron enterprises with rough and complex working conditions. The system analyzes the distributed images of the deformed steel bar on forwarder, and then controls multi-spilt-steel components to a coordinated actions, achieving the auto-spilt of the around 10m deformed steel bar. The contents are as followed:
system design.
Analyze all existing splitting-steel system for counting and spilt-steel tips. A program is set to lift the spilt-steel wedge in turn and make the steel-bar separated completely in the situation where one end of the steel-bar has been separated. Propose a visual system design of multilist for subsection detection, and decrease difficulty of the multilist visual system, which is also a good help for the installation and maintenance, increasing the robustness of the system.
Analysis of the image data. Including filtering and cleaning up, section seperation of steel-bar, examination and detection of separation opening. According to the specification of the working image, take smoothness and direction smoothness adjustable sequence-quick filtering as a method to filter noise from vertical edges and other directions. Propose a method to apply binaryzation by combining with specifications of image edges.
In the situation where light intensity and target gray value varies greatly, it still achieve quick and correct detection. Propose a edge detecting process basing on existing knowledges and experiences.
According to the existing motion of spilt-steel bar, it can determine the centerline of the area under detection, and then matches and fits the equation of the straight line which can best indicate and describe the point set by means of Hough Transform. The method is of good robustness, being applicable to the situation with strong noise and discrete frontier point, and it can meet the needs of the system timeliness.
Decision-making of multi-spilt-steel. In the framework of multilist visual system, it selects an appropriate technology pathway to optimize overall the multi-spilt-steel wedge. It increases the efficiency when it use less spilt-steel wedge during the process of separation. It designs and achieves a completely imitation of the spilt-steel framework, with basic program debugging and design validation completed in the lab; then it is applied to the systematical engineering basing on the imitation framework.
On-site usage indicates that the system structure and algorithm are both of effectiveness and feasibility, and it lays a steady consolidation for the widespread of this new system.
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