CN104680517A - Looseness detection method of bolt - Google Patents

Looseness detection method of bolt Download PDF

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CN104680517A
CN104680517A CN201510032843.4A CN201510032843A CN104680517A CN 104680517 A CN104680517 A CN 104680517A CN 201510032843 A CN201510032843 A CN 201510032843A CN 104680517 A CN104680517 A CN 104680517A
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bolt
image
bolts
tested
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CN104680517B (en
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田煜
赵乾
陶大帅
马纪军
杨帅
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Tsinghua University
CRRC Tangshan Co Ltd
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Tangshan Railway Vehicle Co Ltd
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Abstract

本发明涉及一种螺栓松动的检测方法,属于机械状态检测及维护技术领域。首先对拧紧后的待测螺栓进行标记,待测螺栓松动后,摄取螺栓的照片,照片包含第一标记、第二标记和待测螺栓的完整图像;摄取图像后,利用图像角度的计算算法,通过图像灰度化、图像二值化、边缘检测、判断特征符号,分别识别出照片中第一标记和第二标记的坐标位置;根据坐标位置,计算两个标记之间的相对转动角度;将相对转动角度与设定的角度阈值进行比较,对松动螺栓进行紧固操作。本发明方法提高螺栓松动检测的针对性,保证设备的安全可靠运行。

The invention relates to a detection method for bolt looseness, which belongs to the technical field of mechanical state detection and maintenance. First, mark the bolts to be tested after tightening. After the bolts to be tested are loosened, take photos of the bolts. The photos include the first mark, the second mark and the complete image of the bolts to be tested; after taking the image, use the calculation algorithm of the image angle, Through image grayscale, image binarization, edge detection, and judgment of feature symbols, the coordinate positions of the first mark and the second mark in the photo are respectively identified; according to the coordinate position, the relative rotation angle between the two marks is calculated; The relative rotation angle is compared with the set angle threshold, and the loose bolts are tightened. The method of the invention improves the pertinence of bolt loosening detection and ensures safe and reliable operation of equipment.

Description

一种螺栓松动的检测方法A method for detecting bolt looseness

技术领域technical field

本发明涉及一种螺栓松动的检测方法,属于机械状态检测及维护技术领域。The invention relates to a detection method for bolt looseness, which belongs to the technical field of mechanical state detection and maintenance.

背景技术Background technique

当前,螺栓作为一种连接件,在国民生产的各个领域都有广泛的应用,如铁路运输、航空航天、风力发电、机械加工等。螺栓的拧紧状态直接会影响设备的工作性能,如果出现问题可能会造成灾难性的后果。At present, as a connecting piece, bolts are widely used in various fields of national production, such as railway transportation, aerospace, wind power generation, machining, etc. The tightening state of the bolt will directly affect the working performance of the equipment, and if there is a problem, it may cause disastrous consequences.

通常情况下,螺栓发生失效主要有断裂和松动,其中松动是最常见的问题。目前关于对螺栓松动的检测方法有很多,如检测预紧力的变化、检测连接系统的非线性特性以及检测声发射信号等。这些方法的确能检测到螺栓的松动,但是其操作往往比较复杂,效率比较低,不利于在实际生产中应用。而且,螺栓连接作为一种重要的连接方式,其使用量是十分巨大的,很难采用上述的方式对每个螺栓的状态进行检测。Usually, the failure of bolts mainly includes fracture and loosening, among which loosening is the most common problem. At present, there are many detection methods for bolt looseness, such as detection of changes in pre-tightening force, detection of nonlinear characteristics of connection systems, and detection of acoustic emission signals. These methods can indeed detect the loosening of bolts, but their operations are often complicated and the efficiency is relatively low, which is not conducive to the application in actual production. Moreover, as an important connection method, the bolt connection is used in a huge amount, and it is difficult to detect the state of each bolt by the above-mentioned method.

以铁路列车为例,轨道机车作为日常生活中非常重要的交通工具,其安全性不可忽略。为保证机车安全运行,工作人员需要每天对其进行状态检查,检查项目其中一项就是检查螺栓是否松动。通常情况下,一节车厢上面就有几百甚至更多的螺栓,一天当中又有多列列车,对螺栓松动的检测是一件极其繁重的工作。传统检查螺栓的方法主要有两种:一种是不管螺栓是否已经松动,工人都会用扳手拧紧螺栓,确保螺栓处于拧紧的状态;另一种是螺栓在第一次拧紧后分别在螺栓和螺母上用线标记拧紧的状态,检查时只需查看是螺栓和螺母上的划线是否对齐,如果不对齐则拧紧至其对齐。第一种方法工作量大、效率低下、没有针对性,而第二种方法容易使工人在检测大量螺栓后产生视觉疲劳,导致错检、漏检,特别是现在开通的高速列车,更要求工人能快速、准确地完成螺栓的检测。而且,上述的检测螺栓松动的方法均为定性的检测,并不能定量地表示螺栓松动的程度,不利于对个别易松动的螺栓进行重点监测。保证螺栓的良好连接状态是列车安全运行的先决条件之一,而现有的对螺栓连接状态的检测方法都很难从操作性、成本、快速性、准确性等方面满足铁路运营的需求,因此需要探索新的方法对螺栓的松动状态进行检测。Taking railway trains as an example, rail locomotives are very important means of transportation in daily life, and their safety cannot be ignored. In order to ensure the safe operation of the locomotive, the staff needs to check its condition every day. One of the inspection items is to check whether the bolts are loose. Usually, there are hundreds or even more bolts on a car, and there are many trains in a day, so the detection of bolt looseness is an extremely heavy work. There are two main methods of traditional inspection of bolts: one is that regardless of whether the bolts have been loosened, the workers will tighten the bolts with a wrench to ensure that the bolts are in a tightened state; the other is that the bolts are on the bolts and nuts after the first tightening Use a line to mark the tightening state. When checking, you only need to check whether the dashed lines on the bolt and nut are aligned. If they are not aligned, tighten them until they are aligned. The first method has a large workload, low efficiency, and is not targeted, while the second method is likely to cause visual fatigue to the workers after inspecting a large number of bolts, resulting in false inspections and missed inspections, especially for the high-speed trains currently in operation, which require workers It can quickly and accurately complete the detection of bolts. Moreover, the above-mentioned methods for detecting bolt looseness are all qualitative detections, and cannot quantitatively indicate the degree of bolt looseness, which is not conducive to focusing on monitoring individual easy-to-loose bolts. Ensuring a good connection state of bolts is one of the prerequisites for safe train operation, and the existing detection methods for bolt connection state are difficult to meet the needs of railway operations in terms of operability, cost, speed, and accuracy. It is necessary to explore new methods to detect the loose state of bolts.

发明内容Contents of the invention

本发明的目的是提出一种螺栓松动的检测方法,旨在克服传统螺栓松动检测中存在的效率低下、费时费力、疲劳误判等问题。通过图像分析技术计算出松动前后螺栓上标记符号的相对转角,量化螺栓松动的角度,为螺栓连接状态的检测与维护提供一种快速、精确的方法。The purpose of the present invention is to propose a detection method for bolt looseness, aiming at overcoming the problems of low efficiency, time-consuming and labor-intensive, fatigue misjudgment and the like existing in the traditional detection of bolt looseness. Through the image analysis technology, the relative rotation angle of the marking symbol on the bolt before and after loosening is calculated, and the angle of bolt loosening is quantified, which provides a fast and accurate method for the detection and maintenance of the bolt connection state.

本发明提出的螺栓松动的检测方法,包括以下步骤:The detection method of bolt looseness proposed by the present invention may further comprise the steps:

(1)对拧紧后的待测螺栓进行标记,在螺栓的固定部分作出第一标记,在螺栓的旋转部分作出第二标记,第一标记和第二标记处在一条直线上,标记的符号为直线或圆点,(1) Mark the bolt to be tested after tightening, make the first mark on the fixed part of the bolt, and make the second mark on the rotating part of the bolt. The first mark and the second mark are on a straight line, and the symbol of the mark is straight lines or dots,

(2)待测螺栓松动后,摄取螺栓的照片,照片包含第一标记、第二标记和待测螺栓的完整图像;(2) After the bolt to be tested is loosened, take a photo of the bolt, the photo includes the first mark, the second mark and the complete image of the bolt to be tested;

(3)摄取图像后,利用图像角度的计算算法,通过图像灰度化、图像二值化、边缘检测、判断特征符号,分别识别出照片中第一标记和第二标记的坐标位置;(3) After the image is captured, the coordinate positions of the first mark and the second mark in the photo are recognized respectively through image grayscale, image binarization, edge detection, and feature symbol judgment using the calculation algorithm of the image angle;

(4)根据第一标记和第二标记的坐标位置,利用平面几何方法计算第一标记和第二标记之间的相对转动角度α;(4) According to the coordinate positions of the first mark and the second mark, the relative rotation angle α between the first mark and the second mark is calculated by a plane geometry method;

(5)设定相对转动角度的阈值α0,将步骤(4)的相对转动角度α与相对转动角度的阈值α0进行比较,若α≥α0,则对待测螺栓进行拧紧操作,若α<α0,则检测下一个螺栓。(5) Set the threshold α 0 of the relative rotation angle, compare the relative rotation angle α in step (4) with the threshold α 0 of the relative rotation angle, if α≥α 0 , then tighten the bolt to be tested, if α <α 0 , then detect the next bolt.

本发明提出的螺栓松动的识别方法,其优点是:The identification method of bolt looseness that the present invention proposes, its advantage is:

(1)本发明提出的螺栓松动检测方法,可以简单地对待测螺栓固定部分和旋转部分进行标记;然后方便地通过摄像头摄取螺栓图像,通过图像角度识别量化螺栓松动角度;当相对转角超过设置的角度阈值时,可以自动报警,提高螺栓松动检测的针对性,保证设备的安全可靠运行;(1) The bolt loosening detection method proposed in the present invention can simply mark the fixed part and the rotating part of the bolt to be measured; then conveniently take the bolt image through the camera, and identify and quantify the bolt loosening angle by image angle; when the relative rotation angle exceeds the set When the angle threshold is reached, it can automatically alarm, improve the pertinence of bolt loosening detection, and ensure the safe and reliable operation of the equipment;

(2)本发明提出的螺栓松动识别方法,可以将每个螺栓的检测结果存入数据库,通过长期的数据积累,有利于评价螺栓的长期松动规律,作为量化数据信息进入设备运行维护的基础数据档案,从而提高对设备螺栓紧固的安全性与可靠性的评估与监控。(2) The bolt loosening identification method proposed by the present invention can store the detection results of each bolt in the database, and through long-term data accumulation, it is beneficial to evaluate the long-term loosening law of the bolts, and enter the basic data of equipment operation and maintenance as quantitative data information Archives, thereby improving the evaluation and monitoring of the safety and reliability of equipment bolt fastening.

附图说明Description of drawings

图1为本发明提出的螺栓松动的检测方法的流程框图。Fig. 1 is a flow chart of the detection method for bolt looseness proposed by the present invention.

图2为本发明提出的螺栓松动的检测方法中螺栓松动标记示意图,其中(a)为螺栓拧紧时示意图;(b)螺栓松动后螺栓示意图。Fig. 2 is a schematic diagram of bolt loosening marks in the detection method for bolt loosening proposed by the present invention, wherein (a) is a schematic diagram when the bolt is tightened; (b) is a schematic diagram of the bolt after the bolt is loose.

图2中,1为螺栓连接中的固定部分,2为固定部分上的第一标记,3为螺栓连接中的旋转部分,4为旋转部分上的第二标记。In Fig. 2, 1 is the fixed part in the bolted connection, 2 is the first mark on the fixed part, 3 is the rotating part in the bolted connection, and 4 is the second mark on the rotating part.

具体实施方式detailed description

本发明提出的螺栓松动的检测方法,其流程框图如图1所示,包括以下步骤:The detection method of bolt looseness that the present invention proposes, its flow chart as shown in Figure 1, comprises the following steps:

(1)对拧紧后的待测螺栓进行标记,如图2所示,在螺栓的固定部分1作出第一标记2,在螺栓的旋转部分3作出第二标记4,第一标记2和第二标记4处在一条直线上,标记的符号为直线或圆点,本发明的一个实施例中,第一标记和第二标记为直线;(1) Mark the bolt to be tested after tightening, as shown in Figure 2, make the first mark 2 on the fixed part 1 of the bolt, make the second mark 4 on the rotating part 3 of the bolt, the first mark 2 and the second mark The mark 4 is on a straight line, and the symbol of the mark is a straight line or a dot. In one embodiment of the present invention, the first mark and the second mark are straight lines;

(2)待测螺栓松动后,摄取螺栓的照片,照片包含第一标记、第二标记和待测螺栓的完整图像;(2) After the bolt to be tested is loosened, take a photo of the bolt, the photo includes the first mark, the second mark and the complete image of the bolt to be tested;

(3)摄取图像后,利用图像角度的计算算法,通过图像灰度化、图像二值化、边缘检测、判断特征符号,分别识别出照片中第一标记和第二标记的坐标位置;(3) After the image is captured, the coordinate positions of the first mark and the second mark in the photo are recognized respectively through image grayscale, image binarization, edge detection, and feature symbol judgment using the calculation algorithm of the image angle;

(4)根据第一标记和第二标记的坐标位置,利用平面几何方法计算第一标记和第二标记之间的相对转动角度α;(4) According to the coordinate positions of the first mark and the second mark, the relative rotation angle α between the first mark and the second mark is calculated by a plane geometry method;

(5)设定相对转动角度的阈值α0,将步骤(4)的相对转动角度α与相对转动角度的阈值α0进行比较,若α≥α0,则对待测螺栓进行拧紧操作,若α<α0,则检测下一个螺栓。(5) Set the threshold α 0 of the relative rotation angle, compare the relative rotation angle α in step (4) with the threshold α 0 of the relative rotation angle, if α≥α 0 , then tighten the bolt to be tested, if α <α 0 , then detect the next bolt.

可以将利用本发明方法检测得到的第一标记和第二标记相对转动的角度存入数据库,根据多次检测得到的转动角度,可开展一系列后续处理,比如可在照片中进行转动角度的标注,并将检测得到的转动角度值和事先设定的阈值比较,如果检测值超出设定阈值则给出相应的提示和操作建议,比如提示判断螺栓松动严重需要重新拧紧,长期对同一设备在不同使用阶段的螺栓松动角度的检测数据,可以用于该设备的螺栓紧固安全与可靠性的评估。The relative rotation angles of the first mark and the second mark detected by the method of the present invention can be stored in the database, and a series of follow-up processing can be carried out according to the rotation angle obtained by multiple detections, for example, the rotation angle can be marked in the photo , and compare the detected rotation angle value with the preset threshold value, if the detected value exceeds the set threshold value, corresponding prompts and operation suggestions will be given, such as a prompt to judge that the bolt is seriously loose and needs to be re-tightened The detection data of the bolt loosening angle in the use stage can be used for the evaluation of the safety and reliability of the bolt fastening of the equipment.

Claims (1)

1.一种螺栓松动的检测方法,其特征在于该检测方法包括以下步骤:1. A detection method for bolt looseness, characterized in that the detection method may further comprise the steps: (1)对拧紧后的待测螺栓进行标记,在螺栓的固定部分作出第一标记,在螺栓的旋转部分作出第二标记,第一标记和第二标记处在一条直线上,标记的符号为直线或圆点,(1) Mark the bolt to be tested after tightening, make the first mark on the fixed part of the bolt, and make the second mark on the rotating part of the bolt. The first mark and the second mark are on a straight line, and the symbol of the mark is straight lines or dots, (2)待测螺栓松动后,摄取螺栓的照片,照片包含第一标记、第二标记和待测螺栓的完整图像;(2) After the bolt to be tested is loosened, take a photo of the bolt, the photo includes the first mark, the second mark and the complete image of the bolt to be tested; (3)摄取图像后,利用图像角度的计算算法,通过图像灰度化、图像二值化、边缘检测、判断特征符号,分别识别出照片中第一标记和第二标记的坐标位置;(3) After the image is captured, the coordinate positions of the first mark and the second mark in the photo are recognized respectively through image grayscale, image binarization, edge detection, and feature symbol judgment using the calculation algorithm of the image angle; (4)根据第一标记和第二标记的坐标位置,利用平面几何方法计算第一标记和第二标记之间的相对转动角度α;(4) According to the coordinate positions of the first mark and the second mark, the relative rotation angle α between the first mark and the second mark is calculated by a plane geometry method; (5)设定相对转动角度的阈值α0,将步骤(4)的相对转动角度α与相对转动角度的阈值α0进行比较,若α≥α0,则对待测螺栓进行拧紧操作,若α<α0,则检测下一个螺栓。(5) Set the threshold α 0 of the relative rotation angle, compare the relative rotation angle α in step (4) with the threshold α 0 of the relative rotation angle, if α≥α 0 , then tighten the bolt to be tested, if α <α 0 , then detect the next bolt.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1629886A (en) * 2003-12-15 2005-06-22 中国科学院自动化研究所 Door lock assembly computer detection system
WO2005066506A1 (en) * 2004-01-08 2005-07-21 Ciptex Limited Railway safety apparatus
JP2009210276A (en) * 2008-02-29 2009-09-17 Mitsubishi Heavy Ind Ltd System and method for detecting loosening of fastening implement

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1629886A (en) * 2003-12-15 2005-06-22 中国科学院自动化研究所 Door lock assembly computer detection system
WO2005066506A1 (en) * 2004-01-08 2005-07-21 Ciptex Limited Railway safety apparatus
JP2009210276A (en) * 2008-02-29 2009-09-17 Mitsubishi Heavy Ind Ltd System and method for detecting loosening of fastening implement

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