CN111397497B - Machine tool assembly precision detection method and system - Google Patents
Machine tool assembly precision detection method and system Download PDFInfo
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- CN111397497B CN111397497B CN202010209128.4A CN202010209128A CN111397497B CN 111397497 B CN111397497 B CN 111397497B CN 202010209128 A CN202010209128 A CN 202010209128A CN 111397497 B CN111397497 B CN 111397497B
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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
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/02—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring length, width or thickness
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72406—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by software upgrading or downloading
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72409—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
- H04M1/72412—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories using two-way short-range wireless interfaces
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
- H04M1/72409—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories
- H04M1/72415—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality by interfacing with external accessories for remote control of appliances
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
Abstract
The invention provides a method and a system for detecting the assembly precision of a machine tool, wherein the method comprises the following steps: establishing communication connection with a magnetic grid sensor; importing a three-dimensional drawing of a machine tool; detecting all designated edges of the three-dimensional drawing; for each specified edge, the following steps are included: selecting a designated edge to be detected; sending a distance measurement instruction to the magnetic grid sensor; receiving the detection length measured by the magnetic grid sensor; judging whether all the specified edges are detected; if yes, judging whether all the specified edges are in the error range; if yes, the length of the appointed edge is modified into the corresponding detection length, and an actual measurement model is formed and exported.
Description
Technical Field
The invention relates to the technical field of detection, in particular to a method and a system for detecting the assembly precision of a machine tool.
Background
During the assembly and debugging process of large-scale automation equipment, especially high-precision machine tools, a plurality of high-precision assembly parameters need to be measured according to construction drawings. In current construction and acceptance, technical staff generally use portable laser phase range finder to carry out the range finding. But the disadvantages are more obvious: 1) the tiny angle error of the laser phase distance meter can multiply the result error along with the increase of the detection distance. 2) The laser phase distance meter has low precision, and the common error of the existing selected laser phase distance meter is 30 meters +/-5 mm. 3) The use of laser phase rangefinders does not allow for accurate measurement of unobstructed or non-linear distances. 4) After the test is finished, the measured data is fed back to a technician by an engineer, the technician reconstructs the model, and then the next step of machine tool parameter adjustment is carried out.
In addition, test points are too many in construction and acceptance inspection, missing test or error test is easy to generate in a manual feedback mode, and the precision of equipment cannot be guaranteed.
Disclosure of Invention
The invention aims to provide a machine tool assembly precision detection method and system, which improve the detection precision, can also accurately measure some non-linear paths, eliminates the result error caused by the deflection angle of a distance meter in laser phase distance measurement according to the hardware principle, and realizes the quick derivation of an actual measurement model.
Particularly, the invention provides a machine tool assembly precision detection method, which comprises the following steps: establishing communication connection with a magnetic grid sensor; importing a three-dimensional drawing of a machine tool; detecting all designated edges of the three-dimensional drawing; for each specified edge, the following steps are included: selecting a designated edge to be detected; sending a distance measurement instruction to the magnetic grid sensor; receiving the detection length measured by the magnetic grid sensor; judging whether all the specified edges are detected; if yes, judging whether all the specified edges are in the error range; if yes, the length of the appointed edge is modified into the corresponding detection length, and an actual measurement model is formed and exported.
Further, before detecting the designated edge, setting an error range for the designated edge, wherein the error ranges of different designated edges are the same or different.
Further, before the specified edges are detected, the three-dimensional drawing is divided into at least two detection areas, and each detection area comprises at least two specified edges; and, the detection regions are sequentially detected.
Further, for each specified edge, the method further comprises: comparing the length of the specified edge to be detected in the three-dimensional drawing with the received detection length to obtain an error value; calculating a deviation percentage according to the error value and an error threshold; marking the corresponding designated edge according to the deviation percentage ratio.
Further, the designated edges are marked with colors, and the percentage of deviation for different ranges corresponds to different colors.
Particularly, the invention also provides a machine tool assembly precision detection system, which comprises a portable intelligent handheld terminal and a magnetic grid sensor, wherein the portable intelligent handheld terminal is in communication connection with the magnetic grid sensor: wherein, portable intelligent handheld terminal includes application, and application includes communication module, drawing import module, appointed border selection module, instruction sending module, receiving module, comparison module, first judgement module, second judgement module, third judgement module, modification module and export module, wherein: the communication module is used for establishing communication connection with the magnetic grid sensor; the drawing import module is used for importing the three-dimensional drawing of the machine tool; the designated edge selection module is used for selecting a designated edge to be detected in the three-dimensional drawing; the command sending module is used for sending a distance measuring command to the magnetic grid sensor; the receiving module is used for receiving the detection length measured by the magnetic grid sensor; the comparison module is used for comparing the length of the specified edge to be detected in the three-dimensional drawing with the received detection length to obtain an error value; the first judging module is used for judging whether the error value is within the error range or not; the second judgment module is used for judging whether all the specified edges are detected; the third judging module is used for judging whether all the specified edges are within the error range; the modification module is used for modifying the length of the specified edge into the corresponding detection length if the error value is within the error range, so as to form an actual measurement model; and the derivation module is used for deriving the actual measurement model.
Further, the application program further comprises an area dividing module for dividing the three-dimensional drawing into at least two detection areas, wherein each detection area comprises a plurality of specified edges.
Further, the application program further comprises a ratio calculation module and a marking module, wherein the ratio calculation module is used for calculating deviation percentage ratio according to the error value and the error threshold value; and the marking module is used for marking the corresponding appointed edge according to the deviation percentage ratio.
Particularly, the invention also provides a portable intelligent handheld terminal which comprises an application program, wherein the application program is used for executing the machine tool assembly precision detection method.
Further, applications were developed based on the Unity3D engine.
According to the machine tool assembly precision detection method and system, the magnetic grid sensor is combined with the modeling APP of the portable intelligent handheld terminal, and the precision can reach +/-0.025 +0.01L mm within 30 meters due to the fact that the high-precision magnetic grid ruler is used for positioning measurement, so that the detection precision is high. And the magnetic strip in the magnetic grid ruler has better flexibility, can accurately measure some non-linear paths, is very suitable for being used as a high-precision long-size assembly distance detection tool, and eliminates the result error caused by the deflection angle of the distance meter in laser phase distance measurement according to the hardware principle. After all data tests are completed, the APP application program can automatically rebuild the model according to the test results, so that the actual measurement model can be rapidly exported, and technicians can be provided for next-step machine tool parameter adjustment work, the work difficulty of the technicians and the requirements on design experience are reduced to the maximum extent, the labor intensity is greatly reduced, and the work efficiency is improved.
Furthermore, the method and the system for detecting the assembly precision of the machine tool correspond the detected appointed edge to the corresponding appointed edge on the machine tool through the APP and the Bluetooth signal, and judge whether all the appointed edges in the drawing are detected or not through the APP, so that the detection comprehensiveness is ensured, and the occurrence of missing detection or wrong detection is avoided.
Further, the method and the system for detecting the assembly accuracy of the machine tool are developed based on a Unity3D cross-platform professional engine, the cross-platform characteristics of the platform are inherited, files generated by research and development can be suitable for various platforms such as iOS, Android, Web, Windows and the like, and identification codes written by developers can be automatically compiled on different platforms and can be automatically identified under different file paths. Meanwhile, the portable machine tool assembly precision detection system based on the magnetic grid sensor can be issued to an android platform of a mobile phone.
Furthermore, the machine tool assembly precision detection method and system provided by the invention have the advantages that the portable intelligent handheld terminal is convenient to carry, the developed APP software is simple and convenient to operate, the system is enabled to be 'what you see is what you get' through a powerful object-oriented scene modeling technology and an image real-time rendering functional module, and multiple three-dimensional object objects can be repeatedly called due to the object-oriented packaging characteristic, so that the development efficiency and the development real-time performance are improved.
Furthermore, in the method and the system for detecting the assembly precision of the machine tool, the dynamic modeling part is realized by combining program parameter binding in the development process, and the program editing supports multiple languages, so that the interactive content requirement of system development can be met. Meanwhile, the method also provides an API, so that developers can conveniently access application and process audio, and possibility is provided for function expansion.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
fig. 1 is a schematic configuration diagram of a machine tool assembly accuracy detection system 100 according to one embodiment of the present invention;
fig. 2 is a flowchart of a machine tool assembly accuracy detection method according to an embodiment of the present invention;
FIG. 3 is a block diagram of an APP application 300 in accordance with one embodiment of the present invention;
FIG. 4 is a block diagram of a magnetic grid sensor 120 according to one embodiment of the present invention.
Detailed Description
Fig. 1 is a schematic configuration diagram of a machine tool assembly accuracy detection system 100 according to an embodiment of the present invention. As shown in fig. 1, the machine tool assembly accuracy detection system 100 includes a portable intelligent handheld terminal 110 and a magnetic grid sensor 120. The portable intelligent handheld terminal 110 is a system host, and the magnetic grid sensor 120 is a slave.
The portable intelligent handheld terminal 110 may be a mobile phone, a tablet computer or a portable PC. Install the APP application on portable intelligent handheld terminal 110, this APP application is used for cooperating with magnetic grid sensor 120, receives the lathe actual construction size that magnetic grid sensor 120 detected to according to the lathe actual construction size to modeling again in the lathe three-dimensional graph, thereby realize the detection of lathe assembly precision.
Preferably, the APP application is developed based on the Unity3D engine developed by the Danish Unity corporation. The Unity3D engine supports the release of a plurality of platforms such as IOS, ANDROID, PC, WEB, ps3.xbox, and the like, has the characteristics of delayed rendering, best lighting mapping, lens special effects, and the like, and is convenient for the selection, marking, and other operations of the machine three-dimensional drawing.
In the invention, the Unity3D engine can be used for realizing the following functions:
1. the model is rotated. When a finger slides on the screen, the current rotation value of the model is multiplied by the preset speed and then multiplied by the frame generation time, and the distance of the finger sliding is the rotation value of the model. The rotation value is saved and Quaternison. Euler () is called in the LateUpdate () method to rotate the model.
2. The model moves. When two fingers touch the screen, recording the initial positions of the two fingers. And judging the front and back positions of the two fingers, and if the distance between the two fingers is increased, amplifying the model. If the two fingers move together in one direction, the model moves, the calculated result is saved, and the model position is modified in the LateUpdate () method.
3. And (5) transparently displaying the machine tool model. A collapsable display with Alpha channels is achievable using Legacy Shaders/transactions/diffusion sharder of the Unity3D engine.
4. Model edges are selected. When a screen is clicked, calling a Screen PointToray () method to obtain a ray emitted from a camera, detecting a model where the ray collides, and selecting a corresponding surface or a corresponding line.
5. And setting the length of the selected frame. And selecting the corresponding appointed edge, obtaining the actual length of the data returned by the magnetic grid sensor through a distance conversion algorithm, and setting the selected appointed edge, so that whether the appointed edge has an error or not can be clearly seen.
The magnetic grid sensor 120 is in communication connection with the portable intelligent handheld terminal 110. For one embodiment, the magnetic grid sensor 120 is connected to the portable smart handheld terminal 110 via bluetooth. The two can also be connected by other ways, such as wifi and other common connection ways.
Example 1
Fig. 2 is a flowchart of a machine tool assembly accuracy detection method according to an embodiment of the present invention. As shown in fig. 2, the method for detecting the assembly accuracy of the machine tool comprises the following steps:
s2010: the portable intelligent handheld terminal is in communication connection with the magnetic grid sensor, for example, the portable intelligent handheld terminal is connected with the magnetic grid sensor through Bluetooth, WiFi, RF and the like.
S2020: the three-dimensional drawing of the machine tool is guided into an APP application program in the portable intelligent handheld terminal, meanwhile, the edges needing to be detected in the three-dimensional drawing and the error ranges corresponding to the edges are set through guiding corresponding configuration files, and the error ranges of different edges can be the same or different. . In the detection method, some edges do not need to be detected, some edges need to be detected, which edges need to be detected can be set through the configuration file of the APP application program, and the default accuracy of the edges which do not need to be detected is free from errors.
S2030: in the APP application program, a three-dimensional drawing is divided into at least two detection areas, and each detection area comprises at least two specified edges. The detection areas are detected sequentially in the subsequent procedures.
S2040: in the APP application program, one detection area is designated as a to-be-detected area.
S2050: and in the APP application program, selecting the specified edge in the area to be detected as the specified edge to be detected. The edge to be detected can be manually specified, and can also be automatically updated by the APP application program.
S2060: and sending a ranging instruction to the magnetic grid sensor.
And after the magnetic grid sensor receives the distance measuring instruction, the length of the corresponding specified edge is measured on the assembled machine tool, and the measurement result is sent to the portable intelligent handheld terminal.
S2070: and the portable intelligent handheld terminal receives the detection length measured by the magnetic grid sensor.
S2080: and comparing the length of the specified edge to be detected in the three-dimensional drawing with the received detection length in the APP application program to obtain the difference value of the length and the received detection length, wherein the difference value is used as the error value of the specified edge to be detected.
S2100: and judging whether the error value is within the error range.
If the error value is not within the error range, then S2090 is executed: and sending out an alarm signal.
If the error value is within the error range, step S2110 is performed: calculating a percentage deviation ratio according to the error value and the error threshold value:
s2120: marking the designated edge according to the deviation percentage ratio, and marking the deviation percentage ratios in different ranges differently.
As one example, a color is used to mark the designated edge. As an example, a green color is marked when the deviation percentage is 0% to 15%, a blue color is marked when the deviation percentage is 15% to 45%, a yellow color is marked when the deviation percentage is 45% to 70%, an orange color is marked when the deviation percentage is 70% to 100%, and a red color is marked when the deviation percentage exceeds 100%. The undetected designated edge appears gray and flashes to act as a cue.
S2130: it is determined whether all of the specified edges in the specified detection region are detected.
If yes, go to S2140. Otherwise, return to S2050.
S2140: and judging whether all the detection areas are detected or not so as to judge whether the measurement of the drawing is finished or not.
If so, then S2150 is performed. Otherwise, return to S2040.
S2150: and generating a detection report, wherein the detection report comprises the drawing standard length, the detection length, the error value, the deviation percentage ratio and other information of all the detected specified edges, and in the detection report, generating a machine tool parameter adjustment suggestion according to the actual error condition.
S2160: judging whether all the designated edges are within the error range to prevent the machine tool model from being seriously deformed due to overlarge detection error,
if yes, execute S2170: and (3) modifying the length of the specified edge in the three-dimensional graph of the machine tool into the detection length obtained by the measurement of the magnetic grid sensor, and forming an actual measurement model.
In particular, due to errors in the actual measurement, it may result in that the detected lengths of several related specified edges, combined, may not be able to determine the size of a certain physical quantity (e.g. a certain component). For such a case, there are two processing methods:
setting one main appointed edge and modifying other appointed edges according to the main appointed edge in an equal ratio.
Finding out the length of the appointed edge with the minimum error value, and calculating the lengths of other appointed edges according to the length.
S2180: the actual measurement model is derived in the APP application.
Example 2
Fig. 3 is a structural diagram of an APP application according to an embodiment of the present invention, which matches the detection method in embodiment 1. As shown in fig. 3, the APP application includes a communication module 3010, a drawing importing module 3020, a region dividing module 3030, a region selecting module 3040, a designated edge selecting module 3050, a command sending module 3060, a receiving module 3070, a comparing module 3080, a first determining module 3090, a ratio calculating module 3100, a marking module 3110, a second determining module 3120, a third determining module 3130, a report generating module 3140, a fourth determining module 3150, a modifying module 3160, an deriving module 3170, and an alarming module 3180.
And the communication module 3010 is configured to establish a communication connection with the magnetic grid sensor.
And the drawing importing module 3020 is used for importing the three-dimensional drawing of the machine tool.
The region dividing module 3030 is connected to the drawing importing module 3020, and is configured to divide the three-dimensional drawing into at least two detection regions, where each detection region includes a plurality of designated edges.
The region selection module 3040 is connected to the region dividing module 3030 and is configured to designate a detection region to be detected.
The designated edge selection module 3050 is connected to the region selection module 3040, and is configured to select a designated edge to be detected in the current detection region.
The instruction sending module 3060 is connected to the designated edge selection module 3050 and the communication module 3010, respectively, and is configured to send a distance measurement instruction to the magnetic grid sensor.
The receiving module 3070 is connected to the communication module 3010 and is configured to receive the detection length measured by the magnetic grating sensor.
The comparing module 3080 is connected to the receiving module 3070, and is configured to compare the length of the to-be-detected specified edge in the three-dimensional drawing with the received detected length, and obtain a difference therebetween as an error value of the to-be-detected specified edge.
The first determining module 3090 is connected to the comparing module 3080 for determining whether the error value is within the error range.
The ratio calculation module 3100 is coupled to the first determination module 3090, and is configured to calculate a deviation percentage ratio according to the error value and an error threshold.
The marking module 3110 is coupled to the ratio calculation module 3100 for marking the respective designated edges according to the deviation percentage ratio.
The second determining module 3120 is connected to the designated edge selecting module 3050, and is configured to determine whether all designated edges in the current detection region are detected.
The fourth determination module 3150 is respectively connected to the second determination module 3120 and the area selection module 3040, and is configured to determine whether all detection areas are detected, so as to determine whether the measurement of the modification paper is completed.
The report generating module 3140 is connected to the fourth determining module 3150, and is used for generating a detection report.
The third determining module 3130 is connected to the report generating module 3140, and is configured to determine whether all designated edges of the drawing are within the error range.
The modifying module 3160 is connected to the third determining module 3130, and is configured to modify the lengths of all designated edges in the drawing to corresponding detected lengths if the error value is within the error range, so as to form an actual measurement model.
The derivation module 3170 is connected to the modification module 3160 for deriving the actual measurement model.
The alarm module 3180 is connected to the first determining module 3090, and is configured to send an alarm signal if the error value exceeds the error range.
Example 3
FIG. 4 is a block diagram of a magnetic grid sensor 120 according to one embodiment of the present invention. As shown in fig. 4, the magnetic grid sensor 120 includes a magnetic grid ruler 1201, a magnetic grid ruler reading head 1202, a bluetooth communication module 1203 integrated with an MCU, an antenna 1204, an input button 1205, an operating state display 1206, a lithium ion battery power supply system 1207, a low power consumption power management module 1208, and a voltage detection management module 1209.
The magnetic scale 1201 is a uniformly magnetized steel strip on which S and N poles are uniformly arranged at intervals, and the distance is recorded by reading S, N pole changes by the magnetic scale reading head 1202. For one embodiment, the bluetooth communication module 1203 is a CC2640 chip. The travel parameters measured by the magnetic grid scale reading head 1202 are collected by the CC2640 chip and forwarded to the portable intelligent handheld terminal 110 through the Bluetooth protocol by the antenna 1204.
For one embodiment, the grating scale head 1202 is model MR52 with a resolution of 25 μm and an accuracy of 25 μm, with measurement accuracy on the order of microns.
Because the output signal of the reading head of the magnetic grid ruler is an electric signal with the amplitude value in direct proportion to the magnetic flux at a certain position on the magnetic grid ruler corresponding to the output signal, and the fundamental frequency is a pulse signal with the frequency 2 times of the exciting signal frequency, in order to detect the relative position of the magnetic grid ruler and the reading head of the magnetic grid ruler, the digital display meter of the magnetic grid ruler is provided with a band-pass filtering link after receiving and processing the output signal of the reading head of the magnetic grid ruler, and the central frequency is 2 times omega of the exciting frequency. For this purpose, the output signal of the magnetic scale reading head can be mathematically expressed as a sinusoidal signal of frequency ω whose amplitude varies with the displacement of the magnetic scale. This results in a signal with constant amplitude, frequency ω, and initial phase proportional to the displacement x. As long as the initial phase is detected, the relative displacement x between the reading head of the magnetic grid ruler and the magnetic grid ruler is obtained.
The antenna 1204 is used for transmitting and receiving signals. The input button 1205 is used for manual input of information, and the operating state display 1206 is used for displaying the operating state of the device (sensor). The lithium ion battery power supply system 1207, the low power consumption power management module 1208 and the voltage detection management module 1209 are used for providing power for the system and calculating the remaining battery capacity and other information.
According to the machine tool assembly precision detection method and system, the magnetic grid sensor is combined with the modeling APP of the portable intelligent handheld terminal, and the precision can reach +/-0.025 +0.01L mm within 30 meters due to the fact that the high-precision magnetic grid ruler is used for positioning measurement, so that the detection precision is high. And the magnetic strip in the magnetic grid ruler has better flexibility, can accurately measure some non-linear paths, is very suitable for being used as a high-precision long-size assembly distance detection tool, and eliminates the result error caused by the deflection angle of the distance meter in laser phase distance measurement according to the hardware principle. After all data tests are completed, the APP application program can automatically rebuild the model according to the test results, so that the actual measurement model can be rapidly exported, and technicians can be provided for next-step machine tool parameter adjustment work, the work difficulty of the technicians and the requirements on design experience are reduced to the maximum extent, the labor intensity is greatly reduced, and the work efficiency is improved.
Furthermore, the method and the system for detecting the assembly precision of the machine tool correspond the detected appointed edge to the corresponding appointed edge on the machine tool through the APP and the Bluetooth signal, and judge whether all the appointed edges in the drawing are detected or not through the APP, so that the detection comprehensiveness is ensured, and the occurrence of missing detection or wrong detection is avoided.
Further, the method and the system for detecting the assembly accuracy of the machine tool are developed based on a Unity3D cross-platform professional engine, the cross-platform characteristics of the platform are inherited, files generated by research and development can be suitable for various platforms such as iOS, Android, Web, Windows and the like, and identification codes written by developers can be automatically compiled on different platforms and can be automatically identified under different file paths. Meanwhile, the portable machine tool assembly precision detection system based on the magnetic grid sensor can be issued to an android platform of a mobile phone.
Furthermore, the machine tool assembly precision detection method and system provided by the invention have the advantages that the portable intelligent handheld terminal is convenient to carry, the developed APP software is simple and convenient to operate, the system is enabled to be 'what you see is what you get' through a powerful object-oriented scene modeling technology and an image real-time rendering functional module, and multiple three-dimensional object objects can be repeatedly called due to the object-oriented packaging characteristic, so that the development efficiency and the development real-time performance are improved.
Furthermore, in the method and the system for detecting the assembly precision of the machine tool, the dynamic modeling part is realized by combining program parameter binding in the development process, and the program editing supports multiple languages, so that the interactive content requirement of system development can be met. Meanwhile, the method also provides an API, so that developers can conveniently access application and process audio, and possibility is provided for function expansion.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
1. A machine tool assembly accuracy detection method comprises the following steps:
establishing communication connection with a magnetic grid sensor;
importing a three-dimensional drawing of a machine tool;
detecting all designated edges of the three-dimensional drawing; for each specified edge, the following steps are included:
selecting a designated edge to be detected;
sending a distance measurement instruction to the magnetic grid sensor;
receiving the detection length measured by the magnetic grid sensor;
judging whether all the specified edges are detected;
if yes, judging whether all the specified edges are in the error range;
if so, modifying the length of the appointed edge into the corresponding detection length, forming an actual measurement model and exporting;
wherein, if the detection lengths of a plurality of related specified edges are combined together and the size of a certain physical quantity cannot be determined, the detection lengths of the specified edges are combined together to determine the size of the physical quantity
Setting one of the plurality of associated designated edges as a primary designated edge;
other specified edges of the plurality of related specified edges are modified in an equal ratio according to the main specified edge.
2. The machine tool assembly accuracy detection method according to claim 1,
before detecting the appointed edge, setting an error range for the appointed edge, wherein the error ranges of different appointed edges are the same or different.
3. The machine tool assembly accuracy detection method according to claim 1,
before detecting the appointed edges, dividing the three-dimensional drawing into at least two detection areas, wherein each detection area comprises at least two appointed edges; and the number of the first and second electrodes,
and sequentially detecting the detection areas.
4. The machine tool assembly accuracy detection method according to claim 1,
for each specified edge, further comprising:
comparing the length of the specified edge to be detected in the three-dimensional drawing with the received detection length to obtain an error value;
calculating a deviation percentage ratio according to the error value and an error threshold value;
marking the corresponding designated edge according to the deviation percentage ratio.
5. The machine tool assembly accuracy detection method of claim 4, wherein the designated edge is marked with a color, and the percentage deviation ratios of different ranges correspond to different colors.
6. The utility model provides a lathe assembly accuracy detecting system, includes portable intelligent handheld terminal and magnetic grid sensor, portable intelligent handheld terminal is connected with the communication of magnetic grid sensor:
the portable intelligent handheld terminal comprises an application program, wherein the application program comprises a communication module, a drawing importing module, an appointed edge selecting module, an instruction sending module, a receiving module, a comparing module, a first judging module, a second judging module, a third judging module, a modifying module and a exporting module, wherein:
the communication module is used for establishing communication connection with the magnetic grid sensor;
the drawing import module is used for importing a three-dimensional drawing of a machine tool;
the designated edge selection module is used for selecting a designated edge to be detected in the three-dimensional drawing;
the instruction sending module is used for sending a distance measuring instruction to the magnetic grid sensor;
the receiving module is used for receiving the detection length measured by the magnetic grid sensor;
the comparison module is used for comparing the length of the specified edge to be detected in the three-dimensional drawing with the received detection length to obtain an error value;
the first judging module is used for judging whether the error value is within an error range;
the second judging module is used for judging whether all the specified edges are detected;
the third judging module is used for judging whether all the specified edges are within the error range;
the modification module is used for modifying the length of the specified edge into the corresponding detection length if the error value is within the error range, so as to form an actual measurement model;
the derivation module is used for deriving the actual measurement model;
wherein the modification module is further configured to:
if the detection lengths of a plurality of related specified edges are combined together, the size of a certain physical quantity cannot be determined, and one of the plurality of related specified edges is set as a main specified edge; other specified edges of the plurality of related specified edges are modified in an equal ratio according to the main specified edge.
7. The machine tool fitting accuracy detection system according to claim 6,
the application program further comprises an area dividing module used for dividing the three-dimensional drawing into at least two detection areas, wherein each detection area comprises a plurality of specified edges.
8. The machine tool fitting accuracy detection system according to claim 6,
the application program further comprises a ratio calculation module and a labeling module, wherein,
the ratio calculation module is used for calculating deviation percentage ratio according to the error value and an error threshold value;
and the marking module is used for marking the corresponding appointed edge according to the deviation percentage ratio.
9. A portable intelligent handheld terminal comprising an application program for executing the machine tool assembly accuracy detection method according to any one of claims 1 to 5.
10. The portable intelligent handheld terminal of claim 9, wherein the application is developed based on a Unity3D engine.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102628669A (en) * | 2011-02-01 | 2012-08-08 | 株式会社其恩斯 | Dimension measuring apparatus, dimension measuring method, and program for dimension measuring apparatus |
| CN103727909A (en) * | 2014-01-27 | 2014-04-16 | 苏州全代数控科技有限公司 | Precision measuring instrument of machine tool |
| CN104697428A (en) * | 2015-03-11 | 2015-06-10 | 武汉静磁栅机电制造有限公司 | Linear displacement detection device with high precision based on magnetic induction sensor |
| CN105888317A (en) * | 2016-04-19 | 2016-08-24 | 中建三局第二建设工程有限责任公司 | Central refrigeration machine room modular prefabrication and assembled construction method |
| CN106354950A (en) * | 2016-08-31 | 2017-01-25 | 华中科技大学 | Steel structure pre-splicing method and system |
| CN107067466A (en) * | 2017-06-01 | 2017-08-18 | 无锡机电高等职业技术学校 | A kind of unity3D modelings and modeling method based on phase-shift laser rangefinder |
| US10192115B1 (en) * | 2017-12-13 | 2019-01-29 | Lowe's Companies, Inc. | Virtualizing objects using object models and object position data |
| CN209055063U (en) * | 2018-09-13 | 2019-07-02 | 上海真奕实业有限公司 | A kind of magnetic railings ruler |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140253504A1 (en) * | 2013-03-05 | 2014-09-11 | Science Ranger Corp. | Mobile electronic device with sensors |
| US9121692B2 (en) * | 2013-03-13 | 2015-09-01 | Trimble Navigation Limited | Method and apparatus for projection of BIM information |
| JP6996147B2 (en) * | 2017-07-27 | 2022-01-17 | 株式会社大林組 | Inspection processing system, inspection processing method and inspection processing program |
-
2020
- 2020-03-23 CN CN202010209128.4A patent/CN111397497B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102628669A (en) * | 2011-02-01 | 2012-08-08 | 株式会社其恩斯 | Dimension measuring apparatus, dimension measuring method, and program for dimension measuring apparatus |
| CN103727909A (en) * | 2014-01-27 | 2014-04-16 | 苏州全代数控科技有限公司 | Precision measuring instrument of machine tool |
| CN104697428A (en) * | 2015-03-11 | 2015-06-10 | 武汉静磁栅机电制造有限公司 | Linear displacement detection device with high precision based on magnetic induction sensor |
| CN105888317A (en) * | 2016-04-19 | 2016-08-24 | 中建三局第二建设工程有限责任公司 | Central refrigeration machine room modular prefabrication and assembled construction method |
| CN106354950A (en) * | 2016-08-31 | 2017-01-25 | 华中科技大学 | Steel structure pre-splicing method and system |
| CN107067466A (en) * | 2017-06-01 | 2017-08-18 | 无锡机电高等职业技术学校 | A kind of unity3D modelings and modeling method based on phase-shift laser rangefinder |
| US10192115B1 (en) * | 2017-12-13 | 2019-01-29 | Lowe's Companies, Inc. | Virtualizing objects using object models and object position data |
| CN209055063U (en) * | 2018-09-13 | 2019-07-02 | 上海真奕实业有限公司 | A kind of magnetic railings ruler |
Non-Patent Citations (3)
| Title |
|---|
| An efficient method for generating assembly precedence constraints;Zhuoran Li等;《Computer-Aided Design》;20200131;第118卷;正文第1-13页 * |
| 基于Unity3D的组合夹具虚拟拆装教学系统设计与实现;杨志文等;《河北工业大学学报》;20181231;第47卷(第5期);第8-16页 * |
| 虚拟现实技术下的装配式结构剪力墙参数化设计;张泽元;《山西建筑》;20181231;第44卷(第36期);第42-43页 * |
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