CN112504186B - Graphical digital measurement method and system - Google Patents
Graphical digital measurement method and system Download PDFInfo
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- CN112504186B CN112504186B CN202011250069.1A CN202011250069A CN112504186B CN 112504186 B CN112504186 B CN 112504186B CN 202011250069 A CN202011250069 A CN 202011250069A CN 112504186 B CN112504186 B CN 112504186B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
Abstract
The invention belongs to the field of machine tool control, and provides a graphical digital measurement system method and a graphical digital measurement system aiming at the problem that bulges are difficult to test in a guide rail in the prior art, wherein the graphical digital measurement system method comprises the following steps: acquiring data sent by sensors on the front side and the rear side of a moving part moving on a slide rail; converting the data into a primary graph curve; adjusting initial values of the two primary graph curves to obtain two intermediate graph curves; comparing the two middle-level graph curves to obtain data characteristics; and analyzing the fault position according to the data characteristics.
Description
Technical Field
The invention belongs to the field of machine tool control, and particularly relates to a graphical digital measurement method and a graphical digital measurement system.
Background
With the development of society, products are also gradually pursuing refinement. The precision of the product is driving the precision of the machine tool to be higher. There are usually a large number of rails in the machine tool, along which the sliding parts slide when the machine tool is in use. For this reason, it is necessary to determine the properties of the guide rail.
In view of the above, chinese patent CN201810102867.6 provides a device and a method for quickly measuring the straightness of a guide mounting surface of a machine tool. The device comprises a supporting seat, a sliding trolley, a sliding rail, a sensor joint and a photoelectric sensor; the supporting seat is used for positioning and fixing the whole device; a sensor joint is fixed on the sliding trolley, and an eddy current sensor used for measuring the straightness of the bottom surface and the side surface of the mounting surface respectively is arranged on the sensor joint; the sliding trolley can slide on the sliding rail, and the linearity error of the sliding rail is controlled within a small range; the photoelectric sensor is fixed above the sliding rail and is responsible for transmitting the position information of the measuring point. The scheme is a non-contact continuous measuring method, an eddy current sensor is adopted to measure displacement, and the straightness of the bottom surface and the side surface of the installation surface of the guide rail of the machine tool can be measured at one time.
In the above-described solution, although the front and side straightness of the guide rail is detected, no corresponding detection is made as to whether the guide rail is inclined, that is, the inclination degree of the cross section of the guide rail cannot be detected, and it cannot be determined whether the inclination degree of the guide rail meets the requirement.
Disclosure of Invention
The invention provides a graphical digital measurement system method and a graphical digital measurement system, which solve the problem that bulges are difficult to test in a guide rail in the prior art.
The basic scheme of the invention is as follows: a graphical digital measurement method, comprising:
acquiring data sent by sensors on the front side and the rear side of a moving part moving on a slide rail;
converting the data into a primary graph curve;
adjusting initial values of the two primary graph curves to obtain two intermediate graph curves;
comparing the two middle-level graph curves to obtain data characteristics;
and analyzing the fault position according to the data characteristics.
The basic scheme has the beneficial effects that: in the scheme, sensors are arranged in front of and behind the moving part and used for acquiring data of the front side and the rear side of the moving part, namely front side data and rear side data; the front side data and the back side data are converted into graphical curves, namely a front side curve and a back side curve according to rules, the graphical curves are convenient for visually knowing the change of the data acquired by the sensor, and the visualization of the data is realized; and comparing the front side curve with the rear side curve, and analyzing to obtain the data characteristics so as to know the position of the fault related to the data characteristics. Therefore, the moving tracks of the moving component and the moving component are distinguished by measuring the moving motion tracks before and after the moving component, when the moving tracks of the moving component and the moving component have a larger difference, and the difference caused by the problem is found correspondingly; according to the scheme, the comparison difference between the graphs is formed through the front data and the back data, the front difference and the back difference of the moving part in the movement along the sliding rail are definitely known, and the fault position can be conveniently analyzed.
Furthermore, the acquisition frequency of the sensor is more than or equal to 3000bit/s, and the acquisition precision reaches 1 filament.
Further, the two sensors of the moving part are symmetrical by taking a central axis of the moving part along the guide rail direction as an axis.
Further, the data collected by the sensor is time-displacement coordinate data.
Further, the adjusting of the initial values of the two primary graph curves specifically includes: and increasing the k value of the data sent by the front and rear sensors to ensure that the values of the front and rear sensors are the same at the same time.
Further, the comparing of the two intermediate-level graph curves obtains data characteristics, specifically: and calculating the difference value between the two intermediate image curves at the same moment according to the two intermediate image curves, and taking the value as the data characteristic.
Further, after converting the data into a primary graph curve, the method further comprises: displaying two of the primary graphical curves.
Further, after obtaining two middle-level graph curves, the method further comprises the following steps: and displaying two middle-level graphic curves.
Further, according to the data characteristics, analyzing the fault position, specifically:
acquiring a characteristic fault association table;
and searching the corresponding fault position from the characteristic fault association table according to the data characteristics.
Further, the characteristic fault association table is preset.
Further, the comparing of the two intermediate-level graph curves obtains data characteristics, specifically: drawing two middle-level graph curves in two same coordinate systems respectively, intercepting different middle-level graph curves in the two same coordinate systems by adopting the same method to form two final-stage images, comparing the difference degree between each row of the two final-stage images by adopting an image contrast method, and taking the difference degree as a data characteristic.
The invention also provides a graphical digital measurement system which comprises a lathe, wherein the lathe comprises a slide rail, a moving part and a processor, the moving part can slide on the slide rail, the front side and the rear side of the moving part are respectively provided with a sensor, and the processor comprises an imaging module, an adjusting module and an analyzing module;
the sensor is used for acquiring the displacement of the mobile component in unit time and sending the unit time and the displacement to the imaging module;
the imaging module is used for receiving the unit time and the displacement sent by the two sensors, drawing a primary graph curve according to the unit time and the displacement and sending the primary graph curve to the adjusting module;
the adjusting module is used for receiving the primary graph curve sent by the imaging module, adjusting an initial value of the primary graph curve to be used as a middle-level graph curve and sending the middle-level graph curve to the analyzing module;
and the analysis module is used for receiving the middle-level graph information sent by the adjustment module, comparing the two middle-level graph curves to obtain data characteristics, and analyzing the fault position according to the data characteristics.
Drawings
FIG. 1 is a flow chart of an embodiment of a graphical digital measurement method of the present invention;
FIG. 2 is a block diagram of an embodiment of a digital measurement system;
FIG. 3 is a schematic diagram of the installation of the sensor and the moving part in the digital graphic measurement system according to the present invention.
Reference numbers in the drawings: lathe 1, slide rail 2, moving part 3, standard board 4, treater 5.
Detailed Description
The following is further detailed by the specific embodiments:
the first embodiment is as follows:
a graphical digital measurement method, as shown in fig. 1, comprising:
s1, acquiring data sent by sensors A and B on the front side and the rear side of a moving part moving on a slide rail;
s2, converting the data into a primary graph curve;
s3, adjusting the initial values of the two primary graph curves to obtain two intermediate graph curves, and displaying the two intermediate graph curves;
s4, comparing the two middle-level graph curves to obtain data characteristics;
and S5, analyzing the fault position according to the data characteristics.
Specifically, in S1, as shown in fig. 3, a sensor a and a sensor B are respectively disposed on the front side and the rear side of the moving member 3, the sensor a and the sensor B are symmetric about the central axis of the moving member 3 along the direction of the guide rail 2, the acquisition frequencies of the sensors a and B are both greater than or equal to 3000bit/S, and the acquisition precision reaches 1 filament. The data collected by the sensor is time-displacement coordinate data, namely displacement of the sensor A or the sensor B in unit time.
For example: the sliding rail 2 is a horizontal straight sliding rail 2, the moving part 3 horizontally slides on the sliding rail 2, the front side and the rear side of the moving part 3 are respectively provided with a sensor A and a sensor B, the lathe 1 is provided with a standard plate 4 on the left side of the left end of the sliding rail 2, the standard plate 4 is perpendicular to the horizontal straight sliding rail 2, the intersection point of the extension line of the central axis of the sliding rail 2 and the standard plate 4 is used as a fixed point C, and the displacement of the sensor A and the sensor B in unit time is collected.
The process of acquiring the displacement of the sensor A in unit time is as follows: at t 1 At that moment, sensor A is activated and the vector from A to C is measured
At t 2 At that moment, sensor A is activated again to measure the vector from A to C
Through calculation of the vector, the value at t can be obtained 1 To t 2 During the time of (2), the displacement of the sensor A
Where t is 2 -t 1 Is the unit time length, i.e. if the acquisition frequency of the sensor is 3000bit/s, then t is 2 -t 1 It should be 1/3000 s.
Specifically, in S2, the data is converted into a primary graph, specifically: the horizontal axis is time t, the unit time length is unit time s of the horizontal axis, the vertical axis is distance, the data is time-displacement coordinate data, the distance of the initial time t is set to be 0, and the displacement is carried out in the time period from t0 to t1 in the data
Then time t1
Displacement according to unit time
And the analogy is carried out in sequence, and an s-t image is drawn. The primary graph curve transformed from the data sent by sensor a is curve a, and the primary graph curve transformed from the data sent by sensor B is curve B.
Specifically, in S3, the start values of the two primary graphs are adjusted to ensure that the start values of the two primary graphs are consistent, and two middle-level graphs are obtained and displayed.
Specifically, in S4, comparing the two middle-level graph curves to obtain a data characteristic, specifically: (1) and calculating the difference value between the two intermediate image curves at the same moment according to the two intermediate image curves, and taking the value as the data characteristic. (2) Respectively drawing two middle-level graph curves in two same coordinate systems, intercepting the different middle-level graph curves in the two same coordinate systems by using the same method to form two final-stage images, comparing the difference degree between each row of the two final-stage images by using an image contrast method, and taking the difference degree as a data characteristic.
Specifically, in S5, analyzing the fault location according to the data characteristics, specifically:
acquiring a characteristic fault association table; the characteristic fault association table is preset, and the fault association table is associated with data characteristics and fault positions;
and searching the corresponding fault position from the characteristic fault association table according to the data characteristics.
Sensors are arranged in front of and behind the moving part 3 and used for acquiring data on the front side and the rear side of the moving part 3, namely front side data and rear side data; the front side data and the back side data are converted into graphical curves, namely a front side curve and a back side curve according to rules, the graphical curves are convenient for visually knowing the change of the data acquired by the sensor, and the visualization of the data is realized; and comparing the front side curve with the rear side curve, and analyzing to obtain the data characteristics so as to know the position of the fault related to the data characteristics. Therefore, according to the scheme, the difference between the front and the back of the moving part 3 in the movement along the slide rail 2 is clearly known through the contrast difference between the front and the back data forming graphs, and the determination of the failure position is convenient to analyze.
If a protrusion appears at a certain position of the rear side of the slide rail 2, when the moving component 3 passes through the protrusion, the rear side of the moving component 3 is lifted, the variation detected by the sensor a is larger than that detected by the sensor B, and no matter whether the variation is a primary graph curve or a middle graph curve, the difference between the middle graph curve of the curve a corresponding to the sensor a and the middle graph curve of the curve B corresponding to the sensor B is larger and larger, and a data imaging processing mode is adopted, so that a worker can distinguish whether the difference is within a preset range by naked eyes from a display module.
The numerical value of the data characteristic is large, the fault at the time can be correspondingly known to be 'convex' according to the data characteristic-fault table, the positions of the sensor A and the sensor B in the middle-level graphic curve of the moving component at the moment are combined, the fact that the 'convex' occurs at the specific position y can be known, and the position where the fault occurs and the type of the fault can be known.
The second embodiment:
the difference between the present embodiment and the first embodiment is:
specifically, as shown in fig. 3, in S1, a standard plate is disposed on the lathe, and the data collected by the sensor is time-distance coordinate data, that is, information about the distance from the current time to the standard plate.
Specifically, in S2, the data is converted into a primary graph, specifically: converting the current time and distance information sent by the sensor A into an s-t image by taking the time t as a horizontal axis and the distance s as a vertical axis, and taking the s-t image as a primary graph curve A; and converting the current time and distance information sent by the sensor B into an s-t image serving as a primary graph curve B by taking the time t as a horizontal axis and the distance s as a vertical axis.
Specifically, in S3, the starting values of the two primary graphs are adjusted, specifically: and increasing the k value of the data sent by the front and rear sensors to ensure that the values of the front and rear sensors are the same at the same time. And errors caused by inconsistency of initial values of the two primary graph curves in subsequent judgment are avoided.
Example three:
a graphical digital measuring system comprises a lathe 1, wherein the lathe 1 comprises a slide rail 2, a moving part 3 and a processor 5, the moving part 3 can slide on the slide rail 2, sensors are respectively arranged on the front side and the rear side of the moving part 3, and the processor 5 comprises an imaging module, an adjusting module, an analyzing module and a display module;
the sensor is used for acquiring the displacement of the mobile part 3 in unit time and sending the unit time and the displacement to the imaging module;
the imaging module is used for receiving the unit time and the displacement sent by the two sensors, drawing a primary graph curve according to the unit time and the displacement and sending the primary graph curve to the adjusting module;
the adjusting module is used for receiving the primary graph curve sent by the imaging module, adjusting an initial value of the primary graph curve to be used as a middle-level graph curve, and sending the middle-level graph curve to the analyzing module and the display module;
the analysis module is used for receiving the middle-level graphic information sent by the adjustment module, comparing the two middle-level graphic curves to obtain data characteristics, analyzing a fault position according to the data characteristics and sending the fault position information to the display module;
and the display module is used for receiving and displaying the middle-level graph curve sent by the adjusting module and the fault position information sent by the analyzing module.
It should be understood that this embodiment is a system example corresponding to the first or second embodiment, and may be implemented in cooperation with the first or second embodiment. The related technical details mentioned in the first or second embodiment are still valid in this embodiment, and are not described herein again to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first or second embodiment.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics of the embodiments has not been described in detail, so that a person of ordinary skill in the art can understand all the common technical knowledge in the field of the invention before the application date or the priority date, can know all the prior art in the field, and have the ability to apply routine experimentation before the application date. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (4)
1. A graphical digital measurement method is characterized in that: the method comprises the following steps:
acquiring data sent by sensors on the front side and the rear side of a moving part moving on a slide rail, wherein the data acquired by the sensors are time-displacement coordinate data; the method comprises the following specific steps: a sensor A and a sensor B are respectively arranged on the front side and the rear side of the moving part, a standard plate is arranged on the left side of the left end of the sliding rail of the lathe, the standard plate is perpendicular to the horizontal sliding rail, the intersection point of the extension line of the central axis of the sliding rail and the standard plate is used as a fixed point, and the displacement of the sensor A and the sensor B in unit time is acquired;
converting the data into a primary graph curve; specifically, the horizontal axis is time t, the unit time length is unit time of the horizontal axis, the vertical axis is distance s, since the data is time-displacement coordinate data, the distance of the initial time t is set to be 0, and the displacement is carried out in the time period from t0 to t1 in the data
Then time t1
Displacement according to unit time
Drawing an s-t image by analogy in sequence;
adjusting initial values of the two primary graph curves to obtain two intermediate graph curves; adjusting the initial values of the two primary graph curves to ensure that the initial values of the two primary graph curves are consistent; the method specifically comprises the following steps: increasing k values of data sent by the front and rear side sensors to enable the values of the front and rear side sensors to be the same at the same time;
comparing the two middle-level graph curves to obtain data characteristics; specifically, two middle-level graph curves are respectively drawn in two same coordinate systems, different middle-level graph curves in the two same coordinate systems are intercepted by the same method to form two final-stage images, the difference degree between each row of the two final-stage images is compared by an image contrast method, and the difference degree is used as a data characteristic;
analyzing the fault position according to the data characteristics, specifically, acquiring a characteristic fault association table; the characteristic fault association table is preset, and the fault association table is associated with data characteristics and fault positions; and searching the corresponding fault position from the characteristic fault association table according to the data characteristics.
2. A graphical digital measurement method according to claim 1, characterized in that: the acquisition frequency of the sensor is more than or equal to 3000bit/s, and the acquisition precision reaches 1 filament.
3. A graphical digital measurement method according to claim 1, characterized in that: after obtaining two middle-level graph curves, the method further comprises the following steps: and displaying two middle-level graphic curves.
4. A graphical digital measurement system, characterized by: the automatic detection device comprises a lathe, wherein the lathe comprises a slide rail, a moving part and a processor, the moving part can slide on the slide rail, the front side and the rear side of the moving part are respectively provided with a sensor, and the processor comprises an imaging module, an adjusting module and an analyzing module; a standard plate is arranged on the left side of the left end of the slide rail of the lathe, the standard plate is perpendicular to the horizontal slide rail, and the intersection point of the extension line of the central axis of the slide rail and the standard plate is used as a fixed point;
the sensor is used for acquiring the displacement of the mobile component in unit time and sending the unit time and the displacement to the imaging module;
the imaging module is used for receiving the unit time and the displacement sent by the two sensors, drawing a primary graph curve according to the unit time and the displacement and sending the primary graph curve to the adjusting module; the horizontal axis is time t, the unit time length is unit time of the horizontal axis, the vertical axis is distance s, since the data is time-displacement coordinate data, the distance of the initial time t is set to 0, and the displacement is set in the time period of t0-t1 in the data
Then time t1
Displacement according to unit time
Drawing an s-t image by analogy in sequence;
the adjusting module is used for receiving the primary graph curve sent by the imaging module, adjusting an initial value of the primary graph curve to be used as a middle-level graph curve and sending the middle-level graph curve to the analysis module; adjusting initial values of the two primary graph curves to ensure that the initial values of the two primary graph curves are consistent, specifically, increasing k values to data sent by front and rear sensors to enable the values of the two primary graph curves to be the same at the same time;
the analysis module is used for receiving the intermediate-level graphic information sent by the adjustment module, comparing the two intermediate-level graphic curves to obtain data characteristics, and analyzing a fault position according to the data characteristics, specifically, drawing the two intermediate-level graphic curves in two same coordinate systems respectively, intercepting different intermediate-level graphic curves in the two same coordinate systems by adopting the same method to form two final-level images, comparing the difference between each row of the two final-level images by adopting an image-to-image ratio method, and taking the difference as the data characteristics; acquiring a characteristic fault association table; the characteristic fault association table is preset, and the fault association table is associated with data characteristics and fault positions; and searching the corresponding fault position from the characteristic fault association table according to the data characteristics.
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| JP4967088B2 (en) * | 2008-03-24 | 2012-07-04 | エヌイーシーコンピュータテクノ株式会社 | Information processing apparatus having failure analysis function, failure analysis method, and failure analysis program |
| CN102053459B (en) * | 2010-11-17 | 2012-06-06 | 上海市北印刷（集团）有限公司 | Digital measurement and acquisition working chamber |
| CN102109338B (en) * | 2011-01-10 | 2012-06-06 | 山东力诺瑞特新能源有限公司 | Testing method for radian of end cover |
| CN203824534U (en) * | 2013-08-01 | 2014-09-10 | 广州大华仁盛铝合金管业有限公司 | Equipment for measuring linearity of high-frequency welded tube |
| CN104457565A (en) * | 2014-10-27 | 2015-03-25 | 中冶建筑研究总院有限公司 | Defect size measurement device and method |
| CN104457624A (en) * | 2014-12-29 | 2015-03-25 | 西安石油大学 | Double-laser-device based radiator aluminum tube straightness measurement system and method |
| CN105606323B (en) * | 2016-02-22 | 2018-12-18 | 宁波华斯特林电机制造有限公司 | A kind of visual detection device and stability method of adjustment of motor oscillating test |
| CN108344358A (en) * | 2018-02-01 | 2018-07-31 | 西安交通大学 | A kind of rapid measurement device and measurement method of machine tool guideway mounting surface straightness |
| CN109879169B (en) * | 2019-01-08 | 2021-04-06 | 上海海事大学 | Crane track detection trolley |
| CN110906861B (en) * | 2019-12-12 | 2020-10-20 | 大连理工大学 | Real-time measuring device and method for rolling angle error of guide rail movement |
| CN211012878U (en) * | 2019-12-30 | 2020-07-14 | 东莞市宝科精密机械有限公司 | Linear guide rail parallelism detection system |
| CN111307095A (en) * | 2020-03-03 | 2020-06-19 | 日立电梯（中国）有限公司 | Guide rail installation accuracy measuring device and elevator |
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