WO2020057377A1 - Leadscrew sorting system and method - Google Patents

Leadscrew sorting system and method Download PDF

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Publication number
WO2020057377A1
WO2020057377A1 PCT/CN2019/104561 CN2019104561W WO2020057377A1 WO 2020057377 A1 WO2020057377 A1 WO 2020057377A1 CN 2019104561 W CN2019104561 W CN 2019104561W WO 2020057377 A1 WO2020057377 A1 WO 2020057377A1
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Prior art keywords
screw
image
boundary
screw rod
error boundary
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PCT/CN2019/104561
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French (fr)
Chinese (zh)
Inventor
郭召
王慧亮
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西安大医集团有限公司
北京大医通汇创新科技有限公司
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Publication of WO2020057377A1 publication Critical patent/WO2020057377A1/en

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/04Sorting according to size
    • B07C5/10Sorting according to size measured by light-responsive means

Definitions

  • the present disclosure relates to the technical field of instrument measurement, and in particular, to a screw sorting system and method.
  • Multi-leaf gratings are composed of multiple sets of blades, each of which moves independently under the driving of a screw rod, and forms different shooting fields through the cooperation between the blades.
  • the screw rod has a small diameter and a large aspect ratio, and belongs to a miniature slender rod (for example, a diameter of 1.5 mm and a length of 200 mm), which has poor rigidity and is easy to bend.
  • the bending of the screw rod will cause swaying during the blade movement, which will cause noise and stagnation, affect the flexibility of the blade movement, and also reduce its own life.
  • the quality is uneven, and the amount of deflection during the rotation of different screws may be different.
  • the deflection amount of the screw rod needs to be tested to sort out the screw rods with acceptable deflection amount.
  • a screw sorting system including: a rotation drive device connected to one end of the screw and configured to drive the screw to rotate; and an image data acquisition device configured to rotate the screw when the screw is rotated To acquire and enlarge the image of the lead screw and upload the enlarged image data of the lead screw; a display connected to the image data acquisition device is configured to display the enlarged lead screw image and display an error boundary , So as to sort the screw rod according to the screw rod image and the error boundary.
  • the image data acquisition device is disposed outside an outer peripheral surface of the screw rod, and an observation direction thereof is perpendicular to an axial direction of the screw rod; or the image acquisition device is disposed on the screw rod.
  • An outer side of an end remote from the rotary driving device has an observation direction along an axial direction of the screw rod.
  • the lead screw sorting system further includes: a controller connected to the display, configured to determine the error boundary, and control the display to display the error boundary; the controller further It is connected with the image data acquisition device and is configured to acquire a screw image of the screw in the rotation process in real time, and determine whether a screw boundary in the obtained screw image exceeds the error boundary, so as to detect the The screw is sorted.
  • the lead screw sorting system further includes: an input device connected to the controller, configured to input a maximum allowable deflection amount of the lead screw to the controller, so as to facilitate the The controller determines the error boundary.
  • a screw sorting method which is applied to the screw sorting system as described above.
  • the screw sorting method includes: a rotation driving device drives the screw to rotate; during the rotation of the screw
  • the image data acquisition device acquires and enlarges the image of the screw rod, and uploads the enlarged screw rod image data; the display shows the enlarged screw rod image, and displays an error boundary, so as to facilitate the calculation based on the screw rod image and the error Boundaries sort the screws.
  • the screw sorting method further includes: the controller sorts the screw according to the screw image and the error boundary.
  • the controller sorts the screw rod according to the screw rod image and the error boundary, including: the controller acquires the screw rod image during the rotation of the screw rod in real time, and judges Whether the lead screw boundary in the obtained lead screw image exceeds the error boundary, if yes, it is determined that the lead screw is unqualified; if not, it is determined that the lead screw is qualified.
  • the error boundary includes at least a first-level error boundary and a second-level error boundary, and the first-level error boundary is located within the second-level error boundary; the controller determines that the Whether the screw boundary in the screw image exceeds the error boundary includes: when the controller determines that the screw boundary in the screw image is within the first-level error boundary, determining that the screw is qualified and Is the first level; when the controller determines that the screw boundary in the screw image is outside the first level error boundary and is within the second level error boundary, the controller determines that the screw is qualified and is the first Second level; when the controller determines that the screw boundary in the screw image is outside the second level error boundary, the controller determines that the screw is unqualified.
  • the method before the display displays the error boundary, the method further includes: the controller determines the error boundary; and the controller sends the error boundary to the display.
  • the controller determining the error boundary includes: the controller obtaining a maximum allowable deflection amount of the screw rod; and the controller determining the error boundary according to the maximum allowable deflection amount.
  • FIG. 1 is a schematic structural diagram of a screw sorting system according to some embodiments of the present disclosure
  • FIG. 2 is another schematic structural diagram of a screw sorting system according to some embodiments of the present disclosure.
  • FIG. 3 is a flowchart of a screw sorting method according to some embodiments of the present disclosure
  • FIG. 5 is another flowchart of a screw sorting method according to some embodiments of the present disclosure.
  • FIG. 6 is another flowchart of a screw sorting method according to some embodiments of the present disclosure.
  • FIG. 7 is another flowchart of a screw sorting method according to some embodiments of the present disclosure.
  • FIG. 8 is another flowchart of a screw sorting method according to some embodiments of the present disclosure.
  • FIG. 9 is a schematic diagram of an error boundary displayed on a display screen in a screw sorting method according to some embodiments of the present disclosure.
  • the screw sorting system 100 includes a rotary drive device 1, an image data acquisition device 2, and a display 3.
  • the rotation driving device 1 is connected to one end of the screw rod 4 and is configured to drive the screw rod 4 to rotate;
  • the image data acquisition device 2 is configured to acquire and enlarge the image of the screw rod 4 when the screw rod 4 rotates, and The enlarged screw image data is uploaded;
  • the display 3 is connected to the image data acquisition device 2 and is configured to display the enlarged screw image 3a and display an error boundary 3c so as to facilitate the process according to the screw image 3a and the error boundary 3c.
  • the screw rod 4 is sorted.
  • the boundary of the screw image 3a in the ideal state where the screw 4 is not bent when it is mounted on the rotary drive device 1 is referred to as a reference boundary 3b
  • the error boundary 3c is outside the reference boundary 3b and between the reference boundary 3b
  • the distance is less than or equal to m times the maximum allowable deflection amount of the screw 4 (that is, the maximum deflection amount allowed by the screw) (ie, H max ).
  • the distance between the error boundary 3c and the reference boundary 3b can be set to be equal to m times the maximum allowable deflection amount of the screw rod 4 in order to accurately sort out the screw rod 4 with a qualified deflection amount; it can also be set It is m times smaller than the maximum allowable deflection of the screw rod 4 to improve the quality of the sorted screw rod 4.
  • the image data acquisition device 2 is disposed outside the outer peripheral surface of the screw rod 4, and its viewing direction is perpendicular to the axial direction of the screw rod 4.
  • the screw rod in the displayed screw rod image 3 a is displayed.
  • a side view image of the lead screw whose border is a long strip, and the error boundary 3c is two straight lines or rectangular frames or other figures on the periphery of the lead screw boundary in the lead screw image 3a or on the lead screw boundary.
  • the image data acquisition device 2 is disposed outside the end of the screw rod 4 far from the rotary driving device 1, and the viewing direction is along the axial direction of the screw rod 4, and the screw rod boundary in the screw rod image 3 a is displayed.
  • the rotation of the screw 4 is driven by the rotation driving device 1, the image data acquisition device 2 acquires and enlarges the image of the screw 4, and uploads the enlarged image data of the screw to the image data acquisition.
  • the monitor 3 connected to the device 2 judges whether the screw boundary in the screw image 3a exceeds the error boundary 3c in real time by observing the screw 4 during one revolution in the display 3, and sorts out the qualified screw 4, namely, In the displayed screw image 3a, the screw boundary does not exceed the error 4 of the screw 4 and the screw 4 can be sorted conveniently and quickly.
  • the image data acquisition device 2 in the lead screw sorting system 100 can enlarge the lead screw 4 and display the image through the display 3.
  • the deflection of the lead screw 4 can be observed intuitively and accurately, which overcomes the fact that the lead screw 4 is miniature. It is difficult to judge the errors caused by parts, and it is easy to misjudge the technical problems.
  • the error boundary 3c is set on the display 3, it can be judged whether the screw 4 is qualified by judging whether the screw boundary in the screw image 3a exceeds the error boundary 3c.
  • the operation is simple, the process is fast, and no tedious data collection is required.
  • the process and complicated calculation can realize the batch and fast sorting of the screw rod 4.
  • the image data acquisition device 2 includes a high-power electron microscope.
  • the high-power electron microscope can be used to magnify the lead screw 4 several times and upload the enlarged lead screw image data to the display 3, which can clearly and accurately observe the rotary motion and deflection of the lead screw 4, which overcomes the problem caused by the lead screw 4. It is a problem that is difficult to observe and the data is difficult to obtain due to micro parts.
  • the manner of sorting the screw 4 according to the screw image 3a and the error boundary 3c may be to observe the screw image 3a by human eyes to determine whether the screw boundary in the screw image 3a exceeds
  • the error boundary 3c further sorts the lead screw 4.
  • the manner in which the screw rods 4 are sorted according to the screw rod image 3a and the error boundary 3c may be automatically sorted by using a hardware device and / or a software program.
  • the screw sorting system 100 further includes a controller 5 connected to the display 3 and configured to determine the error boundary 3 c and control the display 3 to display the error boundary 3 c.
  • the controller 5 is also connected to the image data acquisition device 2. The connection is configured to acquire the screw image 3a of the screw 4 during rotation in real time, and determine whether the screw boundary in the obtained screw image 3a exceeds the error boundary 3c to sort the screw 4.
  • the error boundary 3c is determined by the controller 5 and the display 3 is controlled to display the error boundary 3c. It is not necessary to set the error boundary 3c by manual adjustment, which simplifies the operation and improves the accuracy through the operation of the machine.
  • the controller 5 can obtain the screw image 3a of the screw 4 during the rotation in real time, and then automatically determine whether the screw boundary in the obtained screw image 3a exceeds the error boundary 3c, and perform the measurement on the screw 4 according to the judgment result. Sorting does not need to be judged by human eyes, making the operation process faster, more efficient and accurate.
  • the controller 5 may be a CPU (Central Processing Unit, Central Processing Unit), an MCU (Microcontroller Unit, Microcontrol Unit), a combination logic controller, a microprogram controller, and the like.
  • CPU Central Processing Unit
  • MCU Microcontroller Unit
  • a combination logic controller a microprogram controller
  • the lead screw sorting system 100 further includes: an input device 6 connected to the controller 5 and configured to input the maximum allowable deflection amount of the lead screw 4 to the controller 5 so as to facilitate The controller 5 determines an error boundary 3c.
  • the input device 6 may be a mouse, a keyboard, a voice input device (such as a microphone), a touch screen, and the like.
  • the screw sorting system 100 further includes a voice prompting device 7 connected to the controller 5.
  • the voice prompting device 7 broadcasts the wire. Information such as the qualified rod or the level of the screw rod, so as to sort the screw rod 4 makes the screw rod sorting process more convenient and quick.
  • the rotary driving device 1 includes: a clamping member 11 and an electrode 12, the clamping member 11 is configured to clamp one end of the screw rod 4, and the motor 12 is connected to the clamping member 11. Is configured to drive the screw 4 to rotate. In this way, one end of the screw rod 4 can be clamped and fixed by the clamping member 11, and the screw rod 4 can be rotated under the driving of the motor 12. The rotation speed is relatively stable, and the qualified screw rod 4 can be sorted out more accurately.
  • Some embodiments of the present disclosure also provide a screw sorting method.
  • the screw sorting method is applied to the screw sorting system 100 provided in the above embodiment. As shown in FIG. 3, the screw sorting The method includes the following steps:
  • the rotation driving device 1 drives the screw rod 4 to rotate.
  • step S10 referring to FIG. 2 again, the screw rod 4 is mounted on the rotation driving device 1, and the motor 12 is used to drive the screw rod 4 to rotate.
  • the image data acquisition device 2 acquires and enlarges the image of the screw rod 4, and uploads the enlarged screw rod image data.
  • the image data acquisition device 2 for example, a high magnification microscope
  • the image data acquisition device 2 is used to acquire and enlarge the image of the screw rod 4, and upload the enlarged screw rod image data to the display 3.
  • the display 3 displays the enlarged screw rod image 3a, and displays an error boundary 3c, so as to sort the screw rod 4 according to the screw rod image 3a and the error boundary 3c.
  • the enlarged screw image 3a and the error boundary 3c are displayed on the display 3.
  • the error boundary 3c is located at the periphery of the reference boundary 3b and the distance from the reference boundary 3b is less than or equal to the maximum of the screw 4 M times (ie, H max ) the allowable deflection amount (that is, the maximum deflection amount allowed by the screw), where m is a magnification of the enlarged screw image 3 a relative to the real screw 4.
  • the enlarged screw image 3a can be visually observed, and by determining whether the screw boundary in the screw image 3a displayed by the screw 4 during the rotation of the screw 4 exceeds the error boundary 3c, Sorting the screw rod 4 according to the judgment result.
  • the screw rod sorting method is simple in operation and strong in practicability. It does not require complicated data collection and calculation processes, and can realize large-scale sorting of the screw rod 4, which improves efficiency and is convenient for use in the production line.
  • the step of sorting the screw 4 according to the screw image 3a and the error boundary 3c can be performed by human eyes to determine whether the screw boundary in the screw image 3a exceeds the error boundary 3c, and then manually sort. ⁇ qualified screw 4.
  • the steps of sorting the screw rod 4 according to the screw rod image 3 a and the error boundary 3 c may be performed by using a hardware device and / or a software program for automatic sorting.
  • the screw rod sorting method further includes: S40.
  • the controller 5 sorts the screw rod 4 according to the screw rod image 3a and the error boundary 3c.
  • the controller 5 automatically determines whether the screw rod 4 is qualified to save labor costs and is more accurate than judging by human eyes.
  • the controller 5 sorts the screw rod 4 according to the screw rod image 3 a and the error boundary 3 c.
  • the step S40 includes:
  • S401 The controller 5 acquires the screw image 3a of the screw 4 in the turning process in real time.
  • step S402 it is determined whether the screw boundary in the obtained screw image 3a exceeds the error boundary 3c. If yes, it is determined that the screw 4 is unqualified; if not, it is determined that the screw 4 is qualified.
  • the screw rod 4 is regarded as a defective product.
  • the screw boundary in the rod image 3a does not exceed the error boundary 3c, then the screw 4 is a qualified product, and the operation is simple and standardized, which further improves the accuracy and efficiency of the screw 4 sorting and shortens the sorting of the screw 4 time.
  • the error boundary 3c includes at least: the first level error boundary 3c-1 and The second-level error boundary 3c-2, and the first-level error boundary 3c-1 is located within the second-level error boundary 3c-2.
  • Step S402 further includes:
  • controller 5 determines that the screw boundary in the screw image 3a is within the first-level error boundary 3c-1, it determines that the screw 4 is qualified and the first level.
  • controller 5 determines that the screw boundary in the screw image 3a is outside the first-level error boundary 3c-1 and is within the second-level error boundary 3c-2, it determines that the screw 4 is qualified and is the second level.
  • controller 5 determines that the screw boundary in the screw image 3a is outside the second-level error boundary 3c-2, it determines that the screw 4 is unqualified.
  • the number of groups of the error boundary 3c should not be limited to two groups, and may also include one, three, or more than three groups of error boundaries to determine the quality level of the screw 4 and adapt. Different sorting requirements for the amount of screw deflection.
  • the controller 5 determines an error boundary 3c.
  • step S201 of the controller 5 determining the error boundary 3c includes:
  • the controller 5 obtains the maximum allowable yaw amount of the screw rod 4.
  • the controller 5 determines the error boundary 3c according to the maximum allowable yaw amount.
  • the above steps include the following process: acquiring the magnification m of the displayed enlarged screw image 3a relative to the actual screw 4, the acquisition method may be: directly reading the magnification m of the image data acquisition device 2, The magnification m can also be obtained by calculating the ratio of the displayed screw image 3a to the diameter of the real screw 4.
  • the maximum allowable yaw amount h max of the screw rod 4 is input to the controller 5 through the input device 6.
  • the controller 5 sends the error boundary 3c to the display 3.
  • the display 3 thus displays the error boundary 3c on the periphery of the screw image 3a.

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Abstract

A leadscrew sorting system (100), comprising: a rotation driving device (1) connected to an end of a leadscrew (4) and configured to drive the leadscrew to rotate; an image data acquisition device (2) configured to acquire and enlarge an image of the leadscrew when the leadscrew is rotated, and to upload data of an enlarged leadscrew image (3a); and a display (3) connected to the image data acquisition device, and configured to display the enlarged leadscrew image and display an error boundary (3c), so as to perform leadscrew sorting according to the leadscrew image and the error boundary. A leadscrew sorting method applied to the sorting system is also provided.

Description

丝杆分拣系统及方法Screw rod sorting system and method
本公开要求于2018年09月19日提交国家知识产权局、申请号为201811094513.8、公开名称为“丝杆分拣系统及方法”的中国专利公开的优先权,其全部内容通过引用结合在本公开中。This disclosure claims the priority of a Chinese patent publication filed on September 19, 2018 with the State Intellectual Property Office, application number 201811094513.8, and public name "Screw Sorting System and Method", the entire contents of which are incorporated herein by reference in.
技术领域Technical field
本公开涉及仪器测量技术领域,尤其涉及一种丝杆分拣系统及方法。The present disclosure relates to the technical field of instrument measurement, and in particular, to a screw sorting system and method.
背景技术Background technique
在放疗治疗中,适形调强技术是一种先进的治疗手段,多叶光栅是实现适形调强的关键器件。多叶光栅由多组叶片组成,每片叶片在丝杆带动下独立运动,通过叶片之间的配合形成不同的射野。In radiotherapy, conformal intensity modulation technology is an advanced treatment method, and multi-leaf gratings are the key devices to achieve conformal intensity modulation. Multi-leaf gratings are composed of multiple sets of blades, each of which moves independently under the driving of a screw rod, and forms different shooting fields through the cooperation between the blades.
丝杆直径小,长径比大,属于微型细长杆(例如:直径为1.5mm,长度为200mm),刚性差,易弯曲。丝杆弯曲会造成叶片运动过程中发生偏摆晃动,形成噪音、卡滞,影响叶片运动的灵活性,同时也降低了自身寿命。丝杆加工完成后,质量参差不齐,不同丝杆在回转过程中的偏摆量可能有所不同。为保证设备的可靠性,需要对丝杆的偏摆量进行测试,以分拣出偏摆量合格的丝杆。The screw rod has a small diameter and a large aspect ratio, and belongs to a miniature slender rod (for example, a diameter of 1.5 mm and a length of 200 mm), which has poor rigidity and is easy to bend. The bending of the screw rod will cause swaying during the blade movement, which will cause noise and stagnation, affect the flexibility of the blade movement, and also reduce its own life. After the processing of the screw is completed, the quality is uneven, and the amount of deflection during the rotation of different screws may be different. In order to ensure the reliability of the equipment, the deflection amount of the screw rod needs to be tested to sort out the screw rods with acceptable deflection amount.
发明内容Summary of the Invention
一方面,提供了一种丝杆分拣系统,包括:回转驱动装置,与丝杆一端连接,被配置为驱动丝杆进行回转;图像数据获取装置,被配置为在所述丝杆进行回转时,获取并放大所述丝杆的图像,并将放大后的丝杆图像数据上传;与所述图像数据获取装置相连的显示器,被配置为显示所述放大后的丝杆图像,并显示误差边界,以便于根据所述丝杆图像和所述误差边界对丝杆进行分拣。In one aspect, a screw sorting system is provided, including: a rotation drive device connected to one end of the screw and configured to drive the screw to rotate; and an image data acquisition device configured to rotate the screw when the screw is rotated To acquire and enlarge the image of the lead screw and upload the enlarged image data of the lead screw; a display connected to the image data acquisition device is configured to display the enlarged lead screw image and display an error boundary , So as to sort the screw rod according to the screw rod image and the error boundary.
在一些实施例中,所述图像数据获取装置设置于所述丝杆的外周面外侧,其观察方向垂直于所述丝杆的轴向;或者,所述图像获取装置设置于所述丝杆的远离所述回转驱动装置的一端外侧,其观察方向沿所述丝杆的 轴向。In some embodiments, the image data acquisition device is disposed outside an outer peripheral surface of the screw rod, and an observation direction thereof is perpendicular to an axial direction of the screw rod; or the image acquisition device is disposed on the screw rod. An outer side of an end remote from the rotary driving device has an observation direction along an axial direction of the screw rod.
在一些实施例中,所述丝杆分拣系统还包括:与所述显示器相连的控制器,被配置为确定所述误差边界,并控制所述显示器显示所述误差边界;所述控制器还与所述图像数据获取装置连接,被配置为实时获取所述丝杆在回转过程中的丝杆图像,判断所获取的丝杆图像中的丝杆边界是否超出所述误差边界,以对所述丝杆进行分拣。In some embodiments, the lead screw sorting system further includes: a controller connected to the display, configured to determine the error boundary, and control the display to display the error boundary; the controller further It is connected with the image data acquisition device and is configured to acquire a screw image of the screw in the rotation process in real time, and determine whether a screw boundary in the obtained screw image exceeds the error boundary, so as to detect the The screw is sorted.
在一些实施例中,所述丝杆分拣系统还包括:与所述控制器相连的输入设备,被配置为向所述控制器输入所述丝杆的最大允许偏摆量,以便于所述控制器确定所述误差边界。In some embodiments, the lead screw sorting system further includes: an input device connected to the controller, configured to input a maximum allowable deflection amount of the lead screw to the controller, so as to facilitate the The controller determines the error boundary.
另一方面,提供了一种丝杆分拣方法,应用于如上所述的丝杆分拣系统,所述丝杆分拣方法包括:回转驱动装置驱动丝杆进行回转;在丝杆回转过程中,图像数据获取装置获取并放大丝杆的图像,并将放大后的丝杆图像数据上传;显示器显示放大后的丝杆图像,并显示误差边界,以便于根据所述丝杆图像和所述误差边界对丝杆进行分拣。In another aspect, a screw sorting method is provided, which is applied to the screw sorting system as described above. The screw sorting method includes: a rotation driving device drives the screw to rotate; during the rotation of the screw The image data acquisition device acquires and enlarges the image of the screw rod, and uploads the enlarged screw rod image data; the display shows the enlarged screw rod image, and displays an error boundary, so as to facilitate the calculation based on the screw rod image and the error Boundaries sort the screws.
在一些实施例中,所述丝杆分拣方法还包括:控制器根据所述丝杆图像和所述误差边界对丝杆进行分拣。In some embodiments, the screw sorting method further includes: the controller sorts the screw according to the screw image and the error boundary.
在一些实施例中,所述控制器根据所述丝杆图像和所述误差边界对丝杆进行分拣,包括:所述控制器实时获取所述丝杆在回转过程中的丝杆图像,判断所获取的丝杆图像中的丝杆边界是否超出所述误差边界,如果是,则判定所述丝杆不合格;如果否,则判定所述丝杆合格。In some embodiments, the controller sorts the screw rod according to the screw rod image and the error boundary, including: the controller acquires the screw rod image during the rotation of the screw rod in real time, and judges Whether the lead screw boundary in the obtained lead screw image exceeds the error boundary, if yes, it is determined that the lead screw is unqualified; if not, it is determined that the lead screw is qualified.
在一些实施例中,所述误差边界至少包括:第一等级误差边界和第二等级误差边界,且所述第一等级误差边界位于所述第二等级误差边界内;所述控制器判断所述丝杆图像中的丝杆边界是否超出所述误差边界,包括:所述控制器确定所述丝杆图像中的丝杆边界位于所述第一等级误差边界以内时,判定所述丝杆合格且为第一等级;所述控制器确定所述丝杆图像中的丝杆边界位于所述第一等级误差边界外且位于所述第二等级误差边界以内时,判定所述丝杆合格且为第二等级;所述控制器确定所述丝杆图像中 的丝杆边界位于所述第二等级误差边界外时,判定所述丝杆不合格。In some embodiments, the error boundary includes at least a first-level error boundary and a second-level error boundary, and the first-level error boundary is located within the second-level error boundary; the controller determines that the Whether the screw boundary in the screw image exceeds the error boundary includes: when the controller determines that the screw boundary in the screw image is within the first-level error boundary, determining that the screw is qualified and Is the first level; when the controller determines that the screw boundary in the screw image is outside the first level error boundary and is within the second level error boundary, the controller determines that the screw is qualified and is the first Second level; when the controller determines that the screw boundary in the screw image is outside the second level error boundary, the controller determines that the screw is unqualified.
在一些实施例中,所述显示器显示误差边界之前,还包括:所述控制器确定误差边界;所述控制器将所述误差边界发送至所述显示器。In some embodiments, before the display displays the error boundary, the method further includes: the controller determines the error boundary; and the controller sends the error boundary to the display.
在一些实施例中,所述控制器确定误差边界包括:所述控制器获取丝杆的最大允许偏摆量;所述控制器根据所述最大允许偏摆量确定所述误差边界。In some embodiments, the controller determining the error boundary includes: the controller obtaining a maximum allowable deflection amount of the screw rod; and the controller determining the error boundary according to the maximum allowable deflection amount.
附图说明BRIEF DESCRIPTION OF THE DRAWINGS
为了更清楚地说明本公开实施例中的技术方案,下面将对实施例描述中所需要使用的附图作简单地介绍。显而易见地,下面描述中的附图仅仅是本公开的一些实施例,对于本领域普通技术人员来讲,还可以根据这些附图获得其他的附图。In order to explain the technical solution in the embodiments of the present disclosure more clearly, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are just some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings may be obtained based on these drawings.
图1为根据本公开的一些实施例的丝杆分拣系统的一种结构示意图;1 is a schematic structural diagram of a screw sorting system according to some embodiments of the present disclosure;
图2为根据本公开的一些实施例的丝杆分拣系统的另一种结构示意图;2 is another schematic structural diagram of a screw sorting system according to some embodiments of the present disclosure;
图3为根据本公开的一些实施例的丝杆分拣方法的一种流程图;FIG. 3 is a flowchart of a screw sorting method according to some embodiments of the present disclosure; FIG.
图4为根据本公开的一些实施例的丝杆分拣方法的另一种流程图;4 is another flowchart of a screw sorting method according to some embodiments of the present disclosure;
图5为根据本公开的一些实施例的丝杆分拣方法的再一种流程图;FIG. 5 is another flowchart of a screw sorting method according to some embodiments of the present disclosure; FIG.
图6为根据本公开的一些实施例的丝杆分拣方法的又一种流程图;FIG. 6 is another flowchart of a screw sorting method according to some embodiments of the present disclosure; FIG.
图7为根据本公开的一些实施例的丝杆分拣方法的又一种流程图;7 is another flowchart of a screw sorting method according to some embodiments of the present disclosure;
图8为根据本公开的一些实施例的丝杆分拣方法的又一种流程图;FIG. 8 is another flowchart of a screw sorting method according to some embodiments of the present disclosure; FIG.
图9为根据本公开的一些实施例的丝杆分拣方法中显示屏所显示的误差边界的示意图。9 is a schematic diagram of an error boundary displayed on a display screen in a screw sorting method according to some embodiments of the present disclosure.
具体实施方式detailed description
下面将结合附图,对本公开的一些实施例进行描述。显然,所描述的实施例仅仅是本公开的一部分实施例,而不是全部的实施例。基于本公开中的实施例,本领域普通技术人员所获得的所有其他实施例,都属于本公开保护的范围。Hereinafter, some embodiments of the present disclosure will be described with reference to the drawings. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, and not all the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art fall within the protection scope of the present disclosure.
对于适形强调技术用多叶光栅中的丝杆,需要对丝杆的偏摆量进行测试,以分拣出偏摆量合格的丝杆。本公开的一些实施例提供了一种丝杆分 拣系统100,如图1所示,丝杆分拣系统100包括:回转驱动装置1、图像数据获取装置2和显示器3。其中,回转驱动装置1与丝杆4一端连接,被配置为驱动丝杆4进行回转;图像数据获取装置2被配置为在丝杆4进行回转时,获取并放大丝杆4的图像,并将放大后的丝杆图像数据上传;显示器3与图像数据获取装置2相连,被配置为显示放大后的丝杆图像3a,并显示误差边界3c,以便于根据丝杆图像3a和所述误差边界3c对丝杆4进行分拣。For the lead screw in the multi-leaf grating for conformal emphasis technology, the deflection of the lead screw needs to be tested to sort out the lead screw with a qualified deflection amount. Some embodiments of the present disclosure provide a screw sorting system 100. As shown in FIG. 1, the screw sorting system 100 includes a rotary drive device 1, an image data acquisition device 2, and a display 3. Among them, the rotation driving device 1 is connected to one end of the screw rod 4 and is configured to drive the screw rod 4 to rotate; the image data acquisition device 2 is configured to acquire and enlarge the image of the screw rod 4 when the screw rod 4 rotates, and The enlarged screw image data is uploaded; the display 3 is connected to the image data acquisition device 2 and is configured to display the enlarged screw image 3a and display an error boundary 3c so as to facilitate the process according to the screw image 3a and the error boundary 3c. The screw rod 4 is sorted.
其中,称丝杆4安装在回转驱动装置1上时不发生弯曲的理想状态下的丝杆图像3a的边界为参考边界3b,误差边界3c在参考边界3b的外围,且与参考边界3b之间的距离小于或等于丝杆4的最大允许偏摆量(即允许丝杆设定的最大偏摆量)的m倍(即H max),m为放大后的丝杆图像3a相对于真实丝杆4的放大倍数。 Among them, the boundary of the screw image 3a in the ideal state where the screw 4 is not bent when it is mounted on the rotary drive device 1 is referred to as a reference boundary 3b, and the error boundary 3c is outside the reference boundary 3b and between the reference boundary 3b The distance is less than or equal to m times the maximum allowable deflection amount of the screw 4 (that is, the maximum deflection amount allowed by the screw) (ie, H max ). Magnification of 4.
需要说明的是,误差边界3c与参考边界3b之间的距离可设置为等于丝杆4的最大允许偏摆量的m倍,以准确分拣出偏摆量合格的丝杆4;也可以设置为小于丝杆4的最大允许偏摆量的m倍,以提高所分拣出的丝杆4的质量。It should be noted that the distance between the error boundary 3c and the reference boundary 3b can be set to be equal to m times the maximum allowable deflection amount of the screw rod 4 in order to accurately sort out the screw rod 4 with a qualified deflection amount; it can also be set It is m times smaller than the maximum allowable deflection of the screw rod 4 to improve the quality of the sorted screw rod 4.
在一些实施例中,请再次参见图1,图像数据获取装置2设置于丝杆4的外周面外侧,其观察方向垂直于丝杆4的轴向,所显示的丝杆图像3a中的丝杆边界为长条形的丝杆侧视图像,误差边界3c为处于丝杆图像3a中的丝杆边界外围或丝杆边界上的两条直线或矩形框或其他图形。In some embodiments, please refer to FIG. 1 again. The image data acquisition device 2 is disposed outside the outer peripheral surface of the screw rod 4, and its viewing direction is perpendicular to the axial direction of the screw rod 4. The screw rod in the displayed screw rod image 3 a is displayed. A side view image of the lead screw whose border is a long strip, and the error boundary 3c is two straight lines or rectangular frames or other figures on the periphery of the lead screw boundary in the lead screw image 3a or on the lead screw boundary.
在另一些实施例中,图像数据获取装置2设置于丝杆4的远离回转驱动装置1的一端外侧,其观察方向沿丝杆4的轴向,所显示的丝杆图像3a中的丝杆边界为圆形的丝杆截面图像,误差边界3c为处于丝杆图像3a中的丝杆边界外围或丝杆边界上的圆环。In other embodiments, the image data acquisition device 2 is disposed outside the end of the screw rod 4 far from the rotary driving device 1, and the viewing direction is along the axial direction of the screw rod 4, and the screw rod boundary in the screw rod image 3 a is displayed. Is a circular cross section image of the screw rod, and the error boundary 3c is a ring on the periphery of the screw rod boundary or on the screw rod boundary in the screw rod image 3a.
上述丝杆分拣系统100中,利用回转驱动装置1驱动丝杆4进行回转,图像数据获取装置2获取并放大丝杆4的图像,并将放大后的丝杆图像数据上传至与图像数据获取装置2相连的显示器3,通过在显示器3中观察 丝杆4在回转一周的过程中,实时判断丝杆图像3a中的丝杆边界是否超过误差边界3c,分拣出合格的丝杆4,即所显示的丝杆图像3a中的丝杆边界未超出误差边界3c的丝杆4,可以方便、快速地对丝杆4实现分拣。In the above-mentioned screw sorting system 100, the rotation of the screw 4 is driven by the rotation driving device 1, the image data acquisition device 2 acquires and enlarges the image of the screw 4, and uploads the enlarged image data of the screw to the image data acquisition. The monitor 3 connected to the device 2 judges whether the screw boundary in the screw image 3a exceeds the error boundary 3c in real time by observing the screw 4 during one revolution in the display 3, and sorts out the qualified screw 4, namely, In the displayed screw image 3a, the screw boundary does not exceed the error 4 of the screw 4 and the screw 4 can be sorted conveniently and quickly.
该丝杆分拣系统100中的图像数据获取装置2可以对丝杆4进行放大,并通过显示器3显示图像,可直观准确地观测到丝杆4的偏摆,克服了由于丝杆4是微型零件所导致的误差难以判断,容易误判的技术问题。且由于在显示器3上设置了误差边界3c,可通过判断丝杆图像3a中的丝杆边界是否超出误差边界3c进而判断该丝杆4是否合格,操作简单、过程快速,不需要繁琐的数据采集过程和复杂计算,可实现对丝杆4的批量化快速分拣。The image data acquisition device 2 in the lead screw sorting system 100 can enlarge the lead screw 4 and display the image through the display 3. The deflection of the lead screw 4 can be observed intuitively and accurately, which overcomes the fact that the lead screw 4 is miniature. It is difficult to judge the errors caused by parts, and it is easy to misjudge the technical problems. And because the error boundary 3c is set on the display 3, it can be judged whether the screw 4 is qualified by judging whether the screw boundary in the screw image 3a exceeds the error boundary 3c. The operation is simple, the process is fast, and no tedious data collection is required. The process and complicated calculation can realize the batch and fast sorting of the screw rod 4.
作为一种可能的设计,图像数据获取装置2包括高倍电子显微镜。采用高倍电子显微镜可以将丝杆4放大数倍,并将放大后的丝杆图像数据上传至显示器3,可以清晰准确地观测到丝杆4的回转运动和偏摆情况,克服了因丝杆4是微型零件造成的不易观测、数据较难获取的问题。As a possible design, the image data acquisition device 2 includes a high-power electron microscope. The high-power electron microscope can be used to magnify the lead screw 4 several times and upload the enlarged lead screw image data to the display 3, which can clearly and accurately observe the rotary motion and deflection of the lead screw 4, which overcomes the problem caused by the lead screw 4. It is a problem that is difficult to observe and the data is difficult to obtain due to micro parts.
在一些实施例中,根据丝杆图像3a和误差边界3c对丝杆4进行分拣的方式,可以为通过人眼对丝杆图像3a进行观察,判断丝杆图像3a中的丝杆边界是否超过误差边界3c,进而对丝杆4进行分拣。In some embodiments, the manner of sorting the screw 4 according to the screw image 3a and the error boundary 3c may be to observe the screw image 3a by human eyes to determine whether the screw boundary in the screw image 3a exceeds The error boundary 3c further sorts the lead screw 4.
在另一些实施例中,根据丝杆图像3a和误差边界3c对丝杆4进行分拣的方式,可以采用硬件装置和/或软件程序进行自动分拣。参见图2,丝杆分拣系统100还包括:与显示器3相连的控制器5,被配置为确定误差边界3c,并控制显示器3显示误差边界3c;该控制器5还与图像数据获取装置2连接,被配置为实时获取丝杆4在回转过程中的丝杆图像3a,判断所获取的丝杆图像3a中的丝杆边界是否超出误差边界3c,以对丝杆4进行分拣。In other embodiments, the manner in which the screw rods 4 are sorted according to the screw rod image 3a and the error boundary 3c may be automatically sorted by using a hardware device and / or a software program. Referring to FIG. 2, the screw sorting system 100 further includes a controller 5 connected to the display 3 and configured to determine the error boundary 3 c and control the display 3 to display the error boundary 3 c. The controller 5 is also connected to the image data acquisition device 2. The connection is configured to acquire the screw image 3a of the screw 4 during rotation in real time, and determine whether the screw boundary in the obtained screw image 3a exceeds the error boundary 3c to sort the screw 4.
上述实施例中,通过控制器5确定误差边界3c,并控制显示器3显示误差边界3c,无需通过人工调整来设定误差边界3c,简化了操作,且通过机器操作提高了准确性。且控制器5可以实时获取丝杆4在回转过程中的 丝杆图像3a,进而自动判断出所获取的丝杆图像3a中的丝杆边界是否超出误差边界3c,并根据判断结果对丝杆4进行分拣,不需要通过人眼判断,使得操作过程更加快速高效且准确。In the above embodiment, the error boundary 3c is determined by the controller 5 and the display 3 is controlled to display the error boundary 3c. It is not necessary to set the error boundary 3c by manual adjustment, which simplifies the operation and improves the accuracy through the operation of the machine. In addition, the controller 5 can obtain the screw image 3a of the screw 4 during the rotation in real time, and then automatically determine whether the screw boundary in the obtained screw image 3a exceeds the error boundary 3c, and perform the measurement on the screw 4 according to the judgment result. Sorting does not need to be judged by human eyes, making the operation process faster, more efficient and accurate.
在一些实施例中,控制器5可为CPU(Central Processing Unit、中央处理器)、MCU(Microcontroller Unit、微控制单元)、组合逻辑控制器和微程序控制器等。In some embodiments, the controller 5 may be a CPU (Central Processing Unit, Central Processing Unit), an MCU (Microcontroller Unit, Microcontrol Unit), a combination logic controller, a microprogram controller, and the like.
作为一种可能的设计,参见图2,丝杆分拣系统100还包括:与控制器5相连的输入设备6,被配置为向控制器5输入丝杆4的最大允许偏摆量,以便于控制器5确定误差边界3c。As a possible design, referring to FIG. 2, the lead screw sorting system 100 further includes: an input device 6 connected to the controller 5 and configured to input the maximum allowable deflection amount of the lead screw 4 to the controller 5 so as to facilitate The controller 5 determines an error boundary 3c.
在一些实施例中,输入设备6可为鼠标、键盘、语音输入装置(例如麦克风)、触摸屏等。In some embodiments, the input device 6 may be a mouse, a keyboard, a voice input device (such as a microphone), a touch screen, and the like.
作为一种可能的设计,参见图2,丝杆分拣系统100还包括:与控制器5相连的语音提示装置7,在控制器5判定丝杆4合格时,通过语音提示装置7播报该丝杆合格或者丝杆等级等信息,从而将丝杆4进行分拣,使得丝杆分拣过程更加方便快捷。As a possible design, referring to FIG. 2, the screw sorting system 100 further includes a voice prompting device 7 connected to the controller 5. When the controller 5 determines that the screw 4 is qualified, the voice prompting device 7 broadcasts the wire. Information such as the qualified rod or the level of the screw rod, so as to sort the screw rod 4 makes the screw rod sorting process more convenient and quick.
作为一种可能的设计,请再次参见图2,回转驱动装置1包括:夹持部件11和电极12,夹持部件11被配置为夹持丝杆4的一端;电机12与夹持部件11相连,被配置为驱动丝杆4回转。这样,可将丝杆4的一端用夹持部件11夹持固定,在电机12的驱动下使丝杆4回转,回转速度比较稳定,进而更准确地分拣出合格的丝杆4。As a possible design, please refer to FIG. 2 again. The rotary driving device 1 includes: a clamping member 11 and an electrode 12, the clamping member 11 is configured to clamp one end of the screw rod 4, and the motor 12 is connected to the clamping member 11. Is configured to drive the screw 4 to rotate. In this way, one end of the screw rod 4 can be clamped and fixed by the clamping member 11, and the screw rod 4 can be rotated under the driving of the motor 12. The rotation speed is relatively stable, and the qualified screw rod 4 can be sorted out more accurately.
本公开的一些实施例还提供了一种丝杆分拣方法,该丝杆分拣方法应用于如上述实施例所提供的丝杆分拣系统100,如图3所示,该丝杆分拣方法包括如下步骤:Some embodiments of the present disclosure also provide a screw sorting method. The screw sorting method is applied to the screw sorting system 100 provided in the above embodiment. As shown in FIG. 3, the screw sorting The method includes the following steps:
S10,回转驱动装置1驱动丝杆4进行回转。S10. The rotation driving device 1 drives the screw rod 4 to rotate.
在上述步骤S10中,请再次参见图2,将丝杆4安装在回转驱动装置1上,使用电机12驱动丝杆4进行回转。In the above step S10, referring to FIG. 2 again, the screw rod 4 is mounted on the rotation driving device 1, and the motor 12 is used to drive the screw rod 4 to rotate.
S20,在丝杆4回转过程中,图像数据获取装置2获取并放大丝杆4 的图像,并将放大后的丝杆图像数据上传。S20. During the rotation of the screw rod 4, the image data acquisition device 2 acquires and enlarges the image of the screw rod 4, and uploads the enlarged screw rod image data.
在上述步骤S20中,在丝杆4回转过程中,利用图像数据获取装置2(例如可为高倍显微镜)获取并放大丝杆4的图像,并将放大后的丝杆图像数据上传至显示器3。In the above step S20, during the rotation of the screw rod 4, the image data acquisition device 2 (for example, a high magnification microscope) is used to acquire and enlarge the image of the screw rod 4, and upload the enlarged screw rod image data to the display 3.
S30,显示器3显示放大后的丝杆图像3a,并显示误差边界3c,以便于根据丝杆图像3a和误差边界3c对丝杆4进行分拣。S30. The display 3 displays the enlarged screw rod image 3a, and displays an error boundary 3c, so as to sort the screw rod 4 according to the screw rod image 3a and the error boundary 3c.
在上述步骤S30中,通过显示器3显示出放大后的丝杆图像3a和误差边界3c,误差边界3c位于参考边界3b的外围,且与参考边界3b之间的距离小于或等于丝杆4的最大允许偏摆量(即允许丝杆设定的的最大偏摆量)的m倍(即H max),m为放大后的丝杆图像3a相对于真实丝杆4的放大倍数。 In the above step S30, the enlarged screw image 3a and the error boundary 3c are displayed on the display 3. The error boundary 3c is located at the periphery of the reference boundary 3b and the distance from the reference boundary 3b is less than or equal to the maximum of the screw 4 M times (ie, H max ) the allowable deflection amount (that is, the maximum deflection amount allowed by the screw), where m is a magnification of the enlarged screw image 3 a relative to the real screw 4.
采用上述丝杆分拣方法,可直观地观测到放大后的丝杆图像3a,且可通过判断丝杆4回转过程中其所显示的丝杆图像3a中的丝杆边界是否超出误差边界3c,根据判断结果对丝杆4进行分拣。该丝杆分拣方法操作简单、实用性强,无需复杂的数据采集及计算过程,可实现对丝杆4进行大批量分拣,提高了效率,方便在生产一线使用。By using the above-mentioned screw sorting method, the enlarged screw image 3a can be visually observed, and by determining whether the screw boundary in the screw image 3a displayed by the screw 4 during the rotation of the screw 4 exceeds the error boundary 3c, Sorting the screw rod 4 according to the judgment result. The screw rod sorting method is simple in operation and strong in practicability. It does not require complicated data collection and calculation processes, and can realize large-scale sorting of the screw rod 4, which improves efficiency and is convenient for use in the production line.
在一些实施例中,根据丝杆图像3a和误差边界3c对丝杆4进行分拣的步骤,可以为通过人眼判断丝杆图像3a中的丝杆边界是否超出误差边界3c,进而手动分拣出合格的丝杆4。In some embodiments, the step of sorting the screw 4 according to the screw image 3a and the error boundary 3c can be performed by human eyes to determine whether the screw boundary in the screw image 3a exceeds the error boundary 3c, and then manually sort.出 qualified screw 4.
在另一些实施例中,如图4所示,根据丝杆图像3a和误差边界3c对丝杆4进行分拣的步骤,可以采用硬件装置和/或软件程序进行自动分拣。所述丝杆分拣方法还包括:S40,控制器5根据丝杆图像3a和误差边界3c对丝杆4进行分拣。通过控制器5对丝杆4是否合格进行自动判断,以节约人力成本,且比起人眼观察进行判断更加准确。In other embodiments, as shown in FIG. 4, the steps of sorting the screw rod 4 according to the screw rod image 3 a and the error boundary 3 c may be performed by using a hardware device and / or a software program for automatic sorting. The screw rod sorting method further includes: S40. The controller 5 sorts the screw rod 4 according to the screw rod image 3a and the error boundary 3c. The controller 5 automatically determines whether the screw rod 4 is qualified to save labor costs and is more accurate than judging by human eyes.
在一些实施例中,如图5所示,控制器5根据丝杆图像3a和误差边界3c对丝杆4进行分拣的步骤S40,包括:In some embodiments, as shown in FIG. 5, the controller 5 sorts the screw rod 4 according to the screw rod image 3 a and the error boundary 3 c. The step S40 includes:
S401,控制器5实时获取丝杆4在回转过程中的丝杆图像3a。S401: The controller 5 acquires the screw image 3a of the screw 4 in the turning process in real time.
S402,判断所获取的丝杆图像3a中的丝杆边界是否超出误差边界3c,如果是,则判定丝杆4不合格;如果否,则判定丝杆4合格。In step S402, it is determined whether the screw boundary in the obtained screw image 3a exceeds the error boundary 3c. If yes, it is determined that the screw 4 is unqualified; if not, it is determined that the screw 4 is qualified.
在上述实施例中,丝杆4在回转过程中,只要所显示的丝杆图像3a中的丝杆边界超出误差边界3c,则该丝杆4就被认定为不合格品,如果所显示的丝杆图像3a中的丝杆边界没有超出误差边界3c,则该丝杆4为合格品,操作简单、规范,进一步提高了丝杆4分拣的准确性和效率,缩短了丝杆4分拣的时间。In the above embodiment, during the rotation of the screw rod 4, as long as the screw rod boundary in the displayed screw rod image 3a exceeds the error boundary 3c, the screw rod 4 is regarded as a defective product. The screw boundary in the rod image 3a does not exceed the error boundary 3c, then the screw 4 is a qualified product, and the operation is simple and standardized, which further improves the accuracy and efficiency of the screw 4 sorting and shortens the sorting of the screw 4 time.
为了对丝杆4的质量进行进一步细分,以满足不同的设计需求,作为一种可能的设计,如图6和图9所示,误差边界3c至少包括:第一等级误差边界3c-1和第二等级误差边界3c-2,且第一等级误差边界3c-1位于第二等级误差边界3c-2内。In order to further subdivide the quality of the screw rod 4 to meet different design requirements, as a possible design, as shown in FIG. 6 and FIG. 9, the error boundary 3c includes at least: the first level error boundary 3c-1 and The second-level error boundary 3c-2, and the first-level error boundary 3c-1 is located within the second-level error boundary 3c-2.
控制器5判断丝杆图像3a中的丝杆边界是否超出误差边界3c的步骤S402还包括:The controller 5 determines whether the screw boundary in the screw image 3a exceeds the error boundary 3c. Step S402 further includes:
控制器5确定丝杆图像3a中的丝杆边界位于第一等级误差边界3c-1以内时,判定丝杆4合格且为第一等级。When the controller 5 determines that the screw boundary in the screw image 3a is within the first-level error boundary 3c-1, it determines that the screw 4 is qualified and the first level.
控制器5确定丝杆图像3a中的丝杆边界位于第一等级误差边界3c-1外且位于第二等级误差边界3c-2以内时,判定丝杆4合格且为第二等级。When the controller 5 determines that the screw boundary in the screw image 3a is outside the first-level error boundary 3c-1 and is within the second-level error boundary 3c-2, it determines that the screw 4 is qualified and is the second level.
控制器5确定丝杆图像3a中的丝杆边界位于第二等级误差边界3c-2外时,判定丝杆4不合格。When the controller 5 determines that the screw boundary in the screw image 3a is outside the second-level error boundary 3c-2, it determines that the screw 4 is unqualified.
采用如上方式,可方便快速地对丝杆4进行等级判定,在判定出丝杆4是合格品的基础上,进一步判断该丝杆4是否为优等品,或为次等品,提高了丝杆4的良率。将优等丝杆4,例如被判定为第一等级的丝杆4应用于多叶光栅,因其偏摆量小、质量高,所以可提高多叶光栅的多组叶片的使用寿命和灵活性,进而在适形调强技术中发挥其显著作用。By adopting the above method, it is possible to quickly and easily determine the level of the screw rod 4, and on the basis of determining that the screw rod 4 is a qualified product, it is further judged whether the screw rod 4 is a superior or inferior product, and the screw rod is improved. 4 yield. The application of a superior screw rod 4, such as the first-ranked screw rod 4, to a multi-leaf grating, because of its small deflection and high quality, can improve the service life and flexibility of the multi-blade of the multi-leaf grating. And then play a significant role in conformal intensity modulation technology.
参照上面的方法,本领域技术人可知,误差边界3c的组数应不限于两组,其还可以包括一组、三组、或三组以上误差边界,以判定丝杆4的质量等级,适应对丝杆偏摆量的不同分拣需求。With reference to the above method, a person skilled in the art knows that the number of groups of the error boundary 3c should not be limited to two groups, and may also include one, three, or more than three groups of error boundaries to determine the quality level of the screw 4 and adapt. Different sorting requirements for the amount of screw deflection.
作为一种可能的设计,如图7和图8所示,显示器3显示误差边界3c之前,还包括:As a possible design, as shown in FIG. 7 and FIG. 8, before the display 3 displays the error boundary 3 c, it further includes:
S201,控制器5确定误差边界3c。S201. The controller 5 determines an error boundary 3c.
在一些实施例中,控制器5确定误差边界3c的步骤S201,包括:In some embodiments, step S201 of the controller 5 determining the error boundary 3c includes:
S2011,控制器5获取丝杆4的最大允许偏摆量。S2011, the controller 5 obtains the maximum allowable yaw amount of the screw rod 4.
S2012,控制器5根据最大允许偏摆量确定误差边界3c。S2012, the controller 5 determines the error boundary 3c according to the maximum allowable yaw amount.
示例性的,上述步骤包括如下过程:获取所显示的放大后的丝杆图像3a相对于实际丝杆4的放大倍数m,获取方式可以为:直接读取图像数据获取装置2的放大倍数m,也可通过计算所显示的丝杆图像3a与真实丝杆4的直径的比值来得放大倍数m。通过输入设备6向控制器5输入丝杆4的最大允许偏摆量h max。控制器5根据放大倍数m和丝杆4的最大允许偏摆量h max,计算得到误差边界3c与其对应的参考边界3b之间的距离H max,H max=m×h maxExemplarily, the above steps include the following process: acquiring the magnification m of the displayed enlarged screw image 3a relative to the actual screw 4, the acquisition method may be: directly reading the magnification m of the image data acquisition device 2, The magnification m can also be obtained by calculating the ratio of the displayed screw image 3a to the diameter of the real screw 4. The maximum allowable yaw amount h max of the screw rod 4 is input to the controller 5 through the input device 6. The controller 5 calculates the distance H max between the error boundary 3 c and the corresponding reference boundary 3 b according to the magnification factor m and the maximum allowable deflection amount h max of the screw rod 4, H max = m × h max .
S202,控制器5将误差边界3c发送至显示器3。从而显示器3在丝杆图像3a的外围显示该误差边界3c。S202. The controller 5 sends the error boundary 3c to the display 3. The display 3 thus displays the error boundary 3c on the periphery of the screw image 3a.
以上仅为本公开的具体实施方式,但本公开的保护范围并不局限于此,任何熟悉本技术领域的技术人员在本公开揭露的技术范围内,可轻易想到的变化或替换,都应涵盖在本公开的保护范围之内。因此,本公开的保护范围应以权利要求的保护范围为准。The above are only specific implementations of the present disclosure, but the scope of protection of the present disclosure is not limited to this. Any change or replacement that can be easily conceived by those skilled in the art within the technical scope disclosed in the present disclosure should be covered. Within the scope of this disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims (10)

  1. 一种丝杆分拣系统,包括:A screw sorting system includes:
    回转驱动装置,与丝杆一端连接,被配置为驱动丝杆进行回转;The slewing driving device is connected to one end of the screw and is configured to drive the screw to rotate;
    图像数据获取装置,被配置为在所述丝杆进行回转时,获取并放大所述丝杆的图像,并将放大后的丝杆图像数据上传;An image data acquiring device configured to acquire and enlarge an image of the screw rod when the screw rod is rotated, and upload the enlarged screw rod image data;
    与所述图像数据获取装置相连的显示器,被配置为显示所述放大后的丝杆图像,并显示误差边界,以便于根据所述丝杆图像和所述误差边界对丝杆进行分拣。A display connected to the image data acquisition device is configured to display the enlarged screw image and display an error boundary so as to sort the screw according to the screw image and the error boundary.
  2. 根据权利要求1所述的丝杆分拣系统,其中,所述图像数据获取装置设置于所述丝杆的外周面外侧,其观察方向垂直于所述丝杆的轴向;或者,The lead screw sorting system according to claim 1, wherein the image data acquisition device is disposed outside an outer peripheral surface of the lead screw, and an observation direction thereof is perpendicular to an axial direction of the lead screw; or,
    所述图像获取装置设置于所述丝杆的远离所述回转驱动装置的一端外侧,其观察方向沿所述丝杆的轴向。The image acquisition device is disposed on an outer side of an end of the screw rod remote from the rotary driving device, and an observation direction thereof is along an axial direction of the screw rod.
  3. 根据权利要求1所述的丝杆分拣系统,其中,所述丝杆分拣系统还包括:与所述显示器相连的控制器,被配置为确定所述误差边界,并控制所述显示器显示所述误差边界;The screw sorting system according to claim 1, wherein the screw sorting system further comprises: a controller connected to the display, configured to determine the error boundary, and control the display to display Mentioned error boundary;
    所述控制器还与所述图像数据获取装置连接,被配置为实时获取所述丝杆在回转过程中的丝杆图像,判断所获取的丝杆图像中的丝杆边界是否超出所述误差边界,以对所述丝杆进行分拣。The controller is also connected to the image data acquisition device and is configured to acquire a screw image of the screw in the rotation process in real time, and determine whether a screw boundary in the acquired screw image exceeds the error boundary. To sort the lead screw.
  4. 根据权利要求3所述的丝杆分拣系统,其中,所述丝杆分拣系统还包括:与所述控制器相连的输入设备,被配置为向所述控制器输入所述丝杆的最大允许偏摆量,以便于所述控制器确定所述误差边界。The screw sorting system according to claim 3, wherein the screw sorting system further comprises: an input device connected to the controller, configured to input a maximum of the screw to the controller. The amount of yaw is allowed so that the controller can determine the error boundary.
  5. 一种丝杆分拣方法,应用于如权利要求1~4任一项所述的丝杆分拣系统,所述丝杆分拣方法包括:A screw sorting method applied to the screw sorting system according to any one of claims 1 to 4, the screw sorting method comprising:
    回转驱动装置驱动丝杆进行回转;The slewing drive device drives the screw rod to rotate;
    在丝杆回转过程中,图像数据获取装置获取并放大丝杆的图像,并将放大后的丝杆图像数据上传;During the rotation of the screw rod, the image data acquisition device acquires and enlarges the image of the screw rod, and uploads the enlarged image data of the screw rod;
    显示器显示放大后的丝杆图像,并显示误差边界,以便于根据所述丝杆图像和所述误差边界对丝杆进行分拣。The display displays the enlarged image of the screw rod, and displays an error boundary, so as to sort the screw rod according to the image of the screw rod and the error boundary.
  6. 根据权利要求5所述的丝杆分拣方法,其中,所述丝杆分拣方法还包括:控制器根据所述丝杆图像和所述误差边界对丝杆进行分拣。The method for sorting a screw rod according to claim 5, wherein the method for sorting a screw rod further comprises: a controller sorting a screw rod according to the screw rod image and the error boundary.
  7. 根据权利要求6所述的丝杆分拣方法,其中,所述控制器根据所述丝杆图像和所述误差边界对丝杆进行分拣,包括:所述控制器实时获取所述丝杆在回转过程中的丝杆图像,判断所获取的丝杆图像中的丝杆边界是否超出所述误差边界,如果是,则判定所述丝杆不合格;如果否,则判定所述丝杆合格。The method for sorting a screw rod according to claim 6, wherein the controller sorts the screw rod according to the screw rod image and the error boundary, comprising: the controller acquiring the screw rod in real time During the rotation of the screw image, it is determined whether the screw boundary in the obtained screw image exceeds the error boundary, and if it is, the screw is unqualified; if not, the screw is qualified.
  8. 根据权利要求6所述的丝杆分拣方法,其中,所述误差边界至少包括:第一等级误差边界和第二等级误差边界,且所述第一等级误差边界位于所述第二等级误差边界内;The screw sorting method according to claim 6, wherein the error boundary includes at least a first-level error boundary and a second-level error boundary, and the first-level error boundary is located at the second-level error boundary Inside;
    所述控制器判断所述丝杆图像中的丝杆边界是否超出所述误差边界,包括:The controller determining whether a screw boundary in the screw image exceeds the error boundary includes:
    所述控制器确定所述丝杆图像中的丝杆边界位于所述第一等级误差边界以内时,判定所述丝杆合格且为第一等级;When the controller determines that the lead screw boundary in the lead screw image is within the first level error boundary, it determines that the lead screw is qualified and is of the first level;
    所述控制器确定所述丝杆图像中的丝杆边界位于所述第一等级误差边界外且位于所述第二等级误差边界以内时,判定所述丝杆合格且为第二等级;When the controller determines that the screw boundary in the screw image is outside the first-level error boundary and is within the second-level error boundary, determining that the screw is qualified and is the second level;
    所述控制器确定所述丝杆图像中的丝杆边界位于所述第二等级误差边界外时,判定所述丝杆不合格。When the controller determines that the screw boundary in the screw image is outside the second-level error boundary, the controller determines that the screw is unqualified.
  9. 根据权利要求5所述的丝杆分拣方法,其中,所述显示器显示误差边界之前,还包括:The screw sorting method according to claim 5, wherein before the display displays the error boundary, further comprising:
    控制器确定误差边界;The controller determines the error boundary;
    所述控制器将所述误差边界发送至所述显示器。The controller sends the error boundary to the display.
  10. 根据权利要求9所述的丝杆分拣方法,其中,所述控制器确定误差边界包括:The screw sorting method according to claim 9, wherein the controller determining the error boundary comprises:
    所述控制器获取丝杆的最大允许偏摆量;The controller obtains the maximum allowable deflection amount of the screw rod;
    所述控制器根据所述最大允许偏摆量确定所述误差边界。The controller determines the error boundary according to the maximum allowable yaw amount.
PCT/CN2019/104561 2018-09-19 2019-09-05 Leadscrew sorting system and method WO2020057377A1 (en)

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