A surface roughness detection method and system for rotary part machining based on 5G

Abstract

This invention relates to a surface roughness detection method and system for machining rotating parts based on 5G technology. The invention includes establishing a coordinate system based on the relative positions of the rotating part, a second 5G laser sensor, and a tool holder on a machine tool; if the outer edge contour of the cross-section conforms to a circle, the machining spindle is activated, causing the rotating part to rotate around its centerline; based on the coordinate system, the second 5G laser sensor periodically scans the outer edge of the cross-section on the circumferential side of the rotating part, acquiring multiple roughness measurement point coordinate sets at different time points and uploading them via 5G communication; calculation and analysis are performed based on the multiple roughness measurement point coordinate sets; compared to existing technologies, the periodic scanning of the outer edge of the cross-section on the rotating part using a second 5G laser sensor enables this invention to determine whether the surface roughness of the circumferential side of the rotating part meets the finished product requirements during machining.

Description

Technical Field

[0001] This invention belongs to the field of rotary part processing technology, and particularly relates to a roughness detection method and system for rotary part processing based on 5G. Background Technology

[0002] 5G is a new generation of broadband mobile communication technology characterized by high speed, low latency, and massive connectivity. It serves as the network infrastructure for realizing the interconnection of humans, machines, and things.

[0003] Rotating parts are parts that can rotate around the center line of a certain component. They generally refer to shaft-type parts and disc-type parts, and the outer edge of the cross-section is circular.

[0004] In existing rotary part machining processes, the rotary part needs to be fixed on a lathe and rotated around its axial centerline before machining. When performing surface roughness inspection, the part must be removed from the lathe's machining spindle after machining is complete before the circumferential surface roughness can be inspected. If the surface roughness of the circumferential surface does not meet the finished product requirements, the part must be re-fixed on the lathe and re-machined, resulting in low work efficiency.

[0005] Therefore, there is an urgent need for a technical solution that can detect whether the surface roughness of the circumferential side of a rotating part meets the requirements of the finished product during the processing. Summary of the Invention

[0006] One of the objectives of this invention is to address the shortcomings of existing technologies by providing a roughness detection method for rotary parts based on 5G technology. This method solves the problem that existing technologies cannot detect whether the surface roughness of the circumferential side of the rotary part meets the requirements of the finished product during the machining process.

[0007] To achieve the above objectives, the present invention adopts the following technical solution:

[0008] A surface roughness detection method for rotary part machining based on 5G, comprising:

[0009] S300 establishes a coordinate system based on the relative positions of the rotating component, the second 5G laser sensor, and the tool holder on the machine tool;

[0010] S400, based on the coordinate system, the outer edge of the cross-section of the circumferential side of the rotating part is scanned by the second 5G laser sensor to obtain the coordinates of at least 4 circular measurement points and upload them through 5G communication;

[0011] S500, calculate and analyze based on the coordinates of the circular measurement point to determine whether the shape of the outer edge contour of the cross-section conforms to a circle;

[0012] S500a, if the outer edge contour of the cross section conforms to a circle, then the machining spindle is started, and the machining spindle drives the rotating part to rotate around its spindle centerline;

[0013] S600, based on the coordinate system, the second 5G laser sensor periodically scans the outer edge of the cross-section of the circumferential side of the rotating part in a rotating state, obtains multiple roughness measurement point coordinate sets at different time points, and uploads them through 5G communication. The roughness measurement point coordinate set includes multiple roughness measurement point coordinates.

[0014] S700, based on the coordinates of multiple roughness measurement points, calculations are performed to obtain the average surface coefficient of the rotating part along the X-axis and the average surface coefficient of the rotating part along the Y-axis.

[0015] S800, obtain the X-axis average surface coefficient value and the Y-axis average surface coefficient value of the finished rotating part, compare the actual X-axis average surface coefficient value with the X-axis finished surface average coefficient value, and compare the actual Y-axis average surface coefficient value with the Y-axis finished surface average coefficient value.

[0016] S800a, if the average coefficient of the actual surface of the X-axis is less than or equal to the average coefficient of the finished surface of the X-axis, and the average coefficient of the actual surface of the Y-axis is less than or equal to the average coefficient of the finished surface of the Y-axis, then the circumferential side surface of the rotating part meets the requirements of the finished surface roughness.

[0017] The machine tool is equipped with a tool holder and a machining spindle. The tool holder is equipped with a cutting tool and a second 5G laser sensor. The second 5G laser sensor is located on one side of the cutting tool, and the scanning area of ​​the second 5G laser sensor corresponds to the position of the cutting tool tip. The rotating component is fixed at the machining spindle of the machine tool, and the center line of the rotating component corresponds to the center line of the machining spindle.

[0018] As a preferred embodiment of the 5G-based roughness detection method for rotary part machining according to the present invention, S700, calculation and analysis are performed based on multiple roughness measurement point coordinate sets to obtain the X-axis actual surface average coefficient value and the Y-axis actual surface average coefficient value of the rotary part, including:

[0019] S710, Select one roughness measurement point coordinate group, and filter out the largest X-axis coordinate value, the smallest X-axis coordinate value, the largest Y-axis coordinate value, and the smallest Y-axis coordinate value from the multiple roughness measurement point coordinates therein;

[0020] S720, calculate the difference between the largest and smallest X-axis coordinate values, and obtain the corresponding actual surface system value on the X-axis; calculate the difference between the largest and smallest Y-axis coordinate values, and obtain the corresponding actual surface system value on the Y-axis;

[0021] S730, return to the execution of the step of selecting one roughness measurement point coordinate group and filtering out the largest X-axis coordinate value, the smallest X-axis coordinate value, the largest Y-axis coordinate value and the smallest Y-axis coordinate value from the multiple roughness measurement point coordinates, until all the roughness measurement point coordinate groups have obtained the corresponding X-axis actual surface system value and Y-axis actual surface system value.

[0022] S740, calculate the mean value of all the actual surface coefficient values ​​of the X-axis, and obtain the corresponding average value of the actual surface coefficient value of the X-axis; calculate the mean value of all the actual surface coefficient values ​​of the Y-axis, and obtain the corresponding average value of the actual surface coefficient value of the Y-axis.

[0023] As a preferred embodiment of the 5G-based roughness detection method for rotary part machining according to the present invention, S700, calculation and analysis are performed based on multiple roughness measurement point coordinate sets to obtain the X-axis actual surface average coefficient value and the Y-axis actual surface average coefficient value of the rotary part, including:

[0024] S750, Select one roughness measurement point coordinate group, and obtain the corresponding X-axis coordinate value and the corresponding Y-axis coordinate value from the multiple roughness measurement point coordinates therein;

[0025] S760, calculate the mean value of all the X-axis coordinate values ​​and obtain the corresponding actual surface system value of the X-axis; calculate the mean value of all the Y-axis coordinate values ​​and obtain the corresponding actual surface system value of the Y-axis;

[0026] S770, return to the step of selecting one roughness measurement point coordinate group and obtaining the corresponding X-axis coordinate value and the corresponding Y-axis coordinate value from multiple roughness measurement point coordinates, until all roughness measurement point coordinate groups have obtained the corresponding X-axis actual surface system value and Y-axis actual surface system value.

[0027] S780, calculate the mean value of all the actual surface coefficient values ​​of the X-axis, and obtain the corresponding average value of the actual surface coefficient value of the X-axis; calculate the mean value of all the actual surface coefficient values ​​of the Y-axis, and obtain the corresponding average value of the actual surface coefficient value of the Y-axis.

[0028] As a preferred embodiment of the roughness detection method for rotary part machining based on 5G described in this invention, S500, based on the coordinates of the circular measurement point, calculates and analyzes to determine whether the shape of the outer edge contour of the cross-section conforms to a circle, including:

[0029] S510, take the coordinates of 3 of the circular measurement points to form a reference circle, and calculate the center coordinates of the reference circle and the radius value of the reference circle;

[0030] S520, take one of the remaining circular measurement point coordinates as the comparison coordinate, and calculate the distance between the comparison coordinate and the center coordinate of the reference circle;

[0031] S530, calculate the absolute value of the difference between the distance value and the radius value of the reference circle;

[0032] S540, return to the step of taking one of the remaining circular measurement point coordinates as the comparison coordinate and calculating the distance between the comparison coordinate and the center coordinate of the reference circle, until all the remaining circular measurement point coordinates are used as comparison coordinates and the corresponding distance values ​​are calculated.

[0033] S560, determine whether the absolute value of all the differences is less than or equal to the allowable deviation value;

[0034] S560a, if the absolute value of all the differences is less than or equal to the allowable deviation value, then the shape of the outer edge contour of the cross section conforms to a circle;

[0035] S560b, if the absolute value of the difference is greater than the allowable deviation value, then the shape of the outer edge contour of the cross section does not conform to a circle.

[0036] As a preferred embodiment of the roughness detection method for rotary part machining based on 5G described in this invention, S500, based on the coordinates of the circular measurement point, calculates and analyzes to determine whether the shape of the outer edge contour of the cross-section conforms to a circle, including:

[0037] S510, take the coordinates of 3 of the circular measurement points to form a reference circle, and calculate the center coordinates of the reference circle and the radius value of the reference circle;

[0038] S520, take one of the remaining circular measurement point coordinates as the comparison coordinate, and calculate the distance between the comparison coordinate and the center coordinate of the reference circle;

[0039] S530, calculate the absolute value of the difference between the distance value and the radius value of the reference circle;

[0040] S540, return to the step of taking one of the remaining circular measurement point coordinates as the comparison coordinate and calculating the distance between the comparison coordinate and the center coordinate of the reference circle, until all the remaining circular measurement point coordinates are used as comparison coordinates and the corresponding distance values ​​are calculated.

[0041] S560, determine whether the absolute value of all the differences is less than or equal to the allowable deviation value;

[0042] S560a, if the absolute value of all the differences is less than or equal to the allowable deviation value, then the rotating part is rotated around the center line of the machining shaft by a certain angle through the machining shaft; return to the execution of the step of scanning the outer edge of the cross-section of the circumferential side of the rotating part based on the coordinate system, obtaining the coordinates of at least 4 circular measurement points and uploading them through 5G communication, until the total angle of the rotating part rotating around the center line of the machining shaft is greater than or equal to 360°, then the shape of the outer edge contour of the cross-section conforms to a circle;

[0043] S560b, if the absolute value of the difference is greater than the allowable deviation value, then the shape of the outer edge contour of the cross section does not conform to a circle.

[0044] As a preferred embodiment of the surface roughness detection method for 5G-based rotary part machining described in this invention, it further includes:

[0045] S800b, if the average coefficient of the actual surface of the X-axis is greater than the average coefficient of the finished surface of the X-axis, and / or the average coefficient of the actual surface of the Y-axis is greater than the average coefficient of the finished surface of the Y-axis, then the rotating part does not meet the requirements for the surface roughness of the finished product.

[0046] As a preferred embodiment of the surface roughness detection method for 5G-based rotary part machining described in this invention, it further includes:

[0047] S100: The rotating part in the workshop is scanned by the first 5G laser sensor to confirm the placement position of the rotating part in the workshop and the data is uploaded via 5G communication; the rotating part is scanned by the first 5G laser sensor to obtain the initial external dimensions of the rotating part and the data is uploaded via 5G communication to determine whether the external dimensions of the rotating part meet the workpiece size requirements.

[0048] S100a, if the external dimensions of the rotating part meet the workpiece size requirements, then according to the workshop placement position of the rotating part, the rotating part is fixed at the machining axis of the machine tool, and the axis center line of the rotating part corresponds to the axis center line of the machining axis.

[0049] S100b: If the external dimensions of the rotating part do not meet the workpiece size requirements, a corresponding alarm will be issued.

[0050] By initially obtaining the external dimensions of the rotating part and determining whether the external dimensions of the rotating part meet the workpiece size requirements, unqualified workpieces can be initially eliminated and selected, ensuring the yield rate of the rotating part.

[0051] As a preferred embodiment of the surface roughness detection method for 5G-based rotary part machining described in this invention, it further includes:

[0052] S200: The rotating part at the processing shaft is scanned by the first 5G laser sensor, the outer dimensions of the rotating part are obtained for the second time and uploaded through 5G communication to generate a rough shape drawing of the rotating part; the finished shape drawing of the rotating part is obtained, and it is determined whether the rough shape drawing of the rotating part can encompass the finished shape drawing of the rotating part.

[0053] S200a, if the outline drawing of the rotary part blank can encompass the outline drawing of the rotary part finished product, then the machine tool is scanned by the first 5G laser sensor to confirm the relative positions of the rotary part, the second 5G laser sensor and the tool holder on the machine tool and the data is uploaded via 5G communication.

[0054] S200b: If the outline drawing of the rotary part blank cannot encompass the outline drawing of the rotary part finished product, a corresponding alarm will be issued.

[0055] By obtaining the outer dimensions of the rotating part a second time, a blank outline drawing of the rotating part is generated; a finished outline drawing of the rotating part is obtained, and it is determined whether the blank outline drawing of the rotating part can encompass the finished outline drawing of the rotating part. This allows for a second round of elimination of unqualified workpieces and selection, ensuring the yield rate of the rotating part.

[0056] As a preferred embodiment of the surface roughness detection method for 5G-based rotary part machining described in this invention, it further includes:

[0057] S500b: If the outer edge contour of the cross-section does not conform to a circle, a corresponding alarm is issued.

[0058] One of the beneficial effects of this invention is that, under the premise that the outer edge of the cross-section of the circumferential side of the rotating part is circular, the invention uses the second 5G laser sensor to periodically scan the outer edge of the cross-section in the rotating state, obtains the coordinates of multiple roughness measurement points at different time points, and performs calculation and analysis. This enables the invention to determine whether the surface roughness of the circumferential side of the rotating part meets the finished product requirements during the processing. At the same time, by applying 5G communication technology, the invention can realize the function of fast wireless information transmission.

[0059] The second objective of this invention is to address the shortcomings of existing technologies by providing a surface roughness detection system for rotary part machining based on 5G.

[0060] To achieve the above objectives, the present invention adopts the following technical solution:

[0061] A surface roughness detection system for rotary part machining based on 5G includes: a workshop, a processor, and a memory. The workshop is equipped with a machine tool and a first 5G laser sensor. The machine tool is equipped with a tool holder and a machining spindle. The tool holder is equipped with a cutting tool and a second 5G laser sensor. The second 5G laser sensor is located on one side of the cutting tool, and the scanning area of ​​the second 5G laser sensor corresponds to the tip position of the cutting tool. The memory stores a computer program, and when the computer program is executed by the processor, it implements the steps of the method described in any one of the objectives of this invention.

[0062] The second objective of this invention has the following beneficial effects: Given that the outer edge of the cross-section of the circumferential side of the rotating part is circular, this invention uses the second 5G laser sensor to periodically scan the outer edge of the cross-section in a rotating state, acquiring and calculating the coordinates of multiple roughness measurement points at different time points. This allows the invention to determine whether the surface roughness of the circumferential side of the rotating part meets the finished product requirements during processing. Simultaneously, by applying 5G communication technology, it enables rapid wireless information upload. Attached Figure Description

[0063] Figure 1 This is a flowchart of Embodiment 1 of the present invention.

[0064] Figure 2 This is a flowchart of Embodiment 2 of the present invention.

[0065] Figure 3 This is a flowchart of Embodiment 3 of the present invention.

[0066] Figure 4 This is a flowchart of Embodiment 4 of the present invention.

[0067] Figure 5 This is a schematic diagram that includes the finished product outline of the rotary part within the blank outline drawing of the rotary part described in this invention.

[0068] Figure 6 This is one of the schematic diagrams illustrating the scanning principle of the second 5G laser sensor in this invention.

[0069] Figure 7 This is the second schematic diagram of the scanning principle of the second 5G laser sensor in this invention.

[0070] Figure 8This is a schematic diagram of the detection system in Embodiment 5 of the present invention.

[0071] Figure 9 This is a schematic diagram of the operation of Embodiment 5 of the present invention.

[0072] In the picture:

[0073] 100 - Workshop; 110 - Aisle; 120 - Parts storage area; 130 - Machine tool storage area;

[0074] 200 - Machine tool; 210 - Tool holder; 211 - Cutting tool; 220 - Machining spindle;

[0075] 300 - The first 5G laser sensor;

[0076] 400 - Second 5G laser sensor;

[0077] 500-camera;

[0078] 600 - Lighting indicator;

[0079] 001-Rotating component. Detailed Implementation

[0080] To make the technical solution and advantages of the present invention clearer, the present invention and its beneficial effects will be described in further detail below with reference to specific embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0081] Example 1

[0082] like Figure 1 , 5 As shown in 6 and 7;

[0083] A surface roughness detection method for rotary part machining based on 5G, comprising:

[0084] S100: The first 5G laser sensor scans the rotating parts in the workshop to confirm the placement of the rotating parts in the workshop and uploads the information via 5G communication; the first 5G laser sensor scans the rotating parts to obtain the preliminary external dimensions of the rotating parts and uploads the information via 5G communication to determine whether the external dimensions of the rotating parts meet the workpiece size requirements.

[0085] S100a, if the external dimensions of the rotating part meet the workpiece size requirements, then according to the workshop placement position of the rotating part, the rotating part is fixed at the machining axis of the machine tool, and the center line of the rotating part's axis corresponds to the center line of the machining axis.

[0086] S100b: If the external dimensions of the rotating part do not meet the workpiece size requirements, a corresponding alarm will be issued.

[0087] S200: The first 5G laser sensor scans the rotating part at the machining shaft, and the second scan acquires the external dimensions of the rotating part and uploads them via 5G communication to generate a rough outline drawing of the rotating part; then, the finished outline drawing of the rotating part is acquired, and it is determined whether the rough outline drawing can encompass the finished outline drawing. The finished outline drawing of the rotating part is stored in the memory. The finished outline drawing can be generated from the pre-scanned finished part or it can be an electronic 3D drawing.

[0088] S200a, if the outline drawing of the rotary part blank can encompass the outline drawing of the rotary part finished product, the machine tool is scanned by the first 5G laser sensor to confirm the relative positions of the rotary part, the second 5G laser sensor, and the tool holder on the machine tool and the data is uploaded via 5G communication.

[0089] S200b: If the outline drawing of the rotating part blank cannot encompass the outline drawing of the finished rotating part, a corresponding alarm will be issued. Specifically, the alarm is implemented through a buzzer or an indicator light.

[0090] S300 establishes a coordinate system based on the relative positions of the rotating component, the second 5G laser sensor, and the tool holder on the machine tool.

[0091] More specifically, the origin of the coordinate system is the laser divergence point of the second 5G laser sensor, that is, the coordinates of the second 5G laser sensor are (0, 0).

[0092] A coordinate system is established based on the relative positions of the rotating component, the second 5G laser sensor, and the tool holder on the machine tool, which facilitates the subsequent acquisition of measurement point coordinates from the circumferential side of the rotating component.

[0093] S400, based on the coordinate system, scans the outer edge of the cross-section of the circumferential side of the rotating part using a second 5G laser sensor to obtain the coordinates of at least 4 circular measurement points and uploads them via 5G communication; that is, at least the coordinates of the circular measurement points S1(x1, y1), S2(x2, y2), S3(x3, y3) and S4(x4, y4) are obtained; more preferably, at least 5 to 13 circular measurement point coordinates are obtained and uploaded via 5G communication.

[0094] S500 calculates and analyzes the coordinates of the circular measurement point to determine whether the shape of the outer edge contour of the cross section conforms to a circle.

[0095] Specifically, including:

[0096] S510, take the coordinates of 3 circular measurement points to form a reference circle, and calculate the coordinates of the center of the reference circle and the radius of the reference circle.

[0097] That is, the coordinates of the circular measurement points S1(x1, y1), S2(x2, y2) and S3(x3, y3) are used to form a reference circle;

[0098] According to the equation of the perpendicular bisector of S1S2:

[0099] as well as

[0100] According to the equation of the perpendicular bisector of S2S3:

[0101]

[0102] Set separately

[0103] At the same time, according to the equation And y0 = Ax0 + C1;

[0104] Calculate the coordinates of the intersection point of the perpendicular bisector of S1S2 and the perpendicular bisector of S2S3, which is the coordinates of the center of the reference circle C0(x0, y0).

[0105] Furthermore, according to the equation

[0106] Calculate the radius of the reference circle, i.e., the value of r0;

[0107] S520, take the coordinates S of the remaining circular measurement points. n (x n y n () as the comparison coordinates;

[0108] According to the equation

[0109] Calculate the distance between the comparison coordinates and the center coordinates of the reference circle, i.e., r. n The value.

[0110] S530, calculate the absolute value of the difference between the distance value and the radius value of the reference circle;

[0111] That is, according to formula N n =|r0-r n |;

[0112] Calculate the absolute value of the difference between the distance value and the radius of the reference circle, N. n The value;

[0113] S540, return to the execution of the step of taking one circular measurement point coordinate from the remaining circular measurement point coordinates as the comparison coordinate and calculating the distance value between the comparison coordinate and the center coordinate of the reference circle, until all remaining circular measurement point coordinates are used as comparison coordinates and the corresponding distance values ​​are calculated.

[0114] S560, determine whether the absolute values ​​of all differences are less than or equal to the allowable deviation value; where the allowable deviation value is 0.02 to 0.002 mm; select an appropriate value based on the actual situation;

[0115] S560a, if the absolute value of all differences is less than or equal to the allowable deviation value, then the shape of the outer edge profile of the cross section conforms to a circle;

[0116] S560b, if the absolute value of the difference is greater than the allowable deviation value, the shape of the outer edge profile of the cross section does not conform to the circle.

[0117] S500a, if the outer edge contour of the cross-section conforms to a circle, the machining spindle is started, and the machining spindle drives the rotating part to rotate around its spindle centerline.

[0118] S500b: If the outer edge contour of the cross-section does not conform to a circle, a corresponding alarm will be issued. Specifically, the alarm is a buzzer or an indicator light.

[0119] S600, based on a coordinate system, periodically scans the outer edge of the cross-section of the circumferential side of a rotating part in a rotating state using a second 5G laser sensor, acquires multiple roughness measurement point coordinate sets at different time points, and uploads them via 5G communication. The roughness measurement point coordinate set includes multiple roughness measurement point coordinates.

[0120] That is, based on the coordinate system, the second 5G laser sensor periodically scans the outer edge of the cross-section of the circumferential side of the rotating part, and obtains the roughness measurement point coordinate groups H1, H2, H3, and H4 at different time points, which are then uploaded via 5G communication. The scanning positions of the roughness measurement point coordinate groups H1, H2, H3, and H4 are all different; among them, the time points of the period include T1, T2, T3, and T4.

[0121] S700, based on the roughness measurement point coordinate group H1, H2, H3, H4, calculation and analysis are performed to obtain the actual surface average coefficient value of the rotating part along the X-axis and the actual surface average coefficient value along the Y-axis.

[0122] Specifically, including:

[0123] S710, select one roughness measurement point coordinate group, and filter out the largest X-axis coordinate value, the smallest X-axis coordinate value, the largest Y-axis coordinate value, and the smallest Y-axis coordinate value from multiple roughness measurement point coordinates;

[0124] That is, select the roughness measurement point coordinate group H1, wherein the roughness measurement point coordinate group H1 includes the roughness measurement point coordinates H1T1(x) at time node T1. 1t1 y 1t1 The roughness measurement point coordinates H1T2(x) at time node T21t2 y 1t2 The roughness measurement point coordinates H1T3(x) at time node T3 1t3 y 1t3 ) and the roughness measurement point coordinates H1T4(x) at time node T4. 1t4 y 1t4 ); from x 1t1 x 1t2 x 1t3 and x 1t4 Filter out the largest X-axis coordinate value H1xmax and the smallest X-axis coordinate value H1xmin; from y 1t1 y 1t2 y 1t3 and y 1t4 The largest Y-axis coordinate value H1ymax and the smallest Y-axis coordinate value H1ymin are selected from the data.

[0125] S720, calculate the difference between the maximum X-axis coordinate value H1xmax and the minimum X-axis coordinate value H1xmin, and obtain the corresponding actual surface system value Δx1 on the X-axis; calculate the difference between the maximum Y-axis coordinate value H1ymax and the minimum Y-axis coordinate value H1ymin, and obtain the corresponding actual surface system value Δy1 on the Y-axis.

[0126] That is, H1xmax - H1xmin = Δx1; H1ymax - H1ymin = Δy1;

[0127] S730, return to the step of selecting one roughness measurement point coordinate group and filtering out the largest X-axis coordinate value, the smallest X-axis coordinate value, the largest Y-axis coordinate value and the smallest Y-axis coordinate value from multiple roughness measurement point coordinates, that is, return to the step of S710 until all roughness measurement point coordinate groups have obtained the corresponding X-axis actual surface system value and Y-axis actual surface system value.

[0128] That is, we get Δx2, Δx3, Δx4, Δy2, Δy3 and Δy4 accordingly;

[0129] S740, calculate the mean value of all actual surface coefficient values ​​along the X-axis, and obtain the corresponding average value Q of the actual surface coefficient value along the X-axis. x ; Calculate the mean value of all actual surface coefficient values ​​along the Y-axis, and obtain the corresponding average value Q of the actual surface coefficient value along the Y-axis. y ;

[0130] Right now

[0131] S800, obtain the average surface coefficient C of the finished rotating part along the X-axis. x and the average surface coefficient C of the Y-axis finished product yThe average coefficient Q of the actual surface along the X-axis x The average coefficient C of the finished product surface along the X-axis x Compare the sizes and use the average coefficient Q of the actual surface along the Y-axis. y The average coefficient C of the finished product surface along the Y-axis y A size comparison was performed. Among them, the average surface coefficient C along the X-axis of the finished rotating part was calculated. x and the average surface coefficient C of the Y-axis finished product y It can be obtained by pre-scanning the finished rotary part and performing corresponding calculations. The scanning and calculation methods are the same as in this embodiment.

[0132] S800a, if the actual surface average coefficient Q along the X-axis x Less than or equal to the average surface coefficient C of the finished product along the X-axis x And the actual surface average coefficient Q along the Y-axis y Less than or equal to the average surface coefficient C of the finished product along the Y-axis y If the circumferential side surface of the rotating part meets the surface roughness requirements of the finished product.

[0133] S800b, if the actual surface average coefficient Q along the X-axis x Greater than the average surface coefficient C of the finished product along the X-axis x And / or the actual surface average coefficient Q along the Y-axis y Greater than the average surface coefficient C of the finished product along the Y-axis y If the rotating part does not meet the surface roughness requirements of the finished product, then the rotating part will not meet the surface roughness requirements.

[0134] The machine tool is equipped with a tool holder and a machining spindle. The tool holder is equipped with a cutting tool and a second 5G laser sensor. The second 5G laser sensor is located on one side of the cutting tool, and the scanning area of ​​the second 5G laser sensor corresponds to the position of the cutting tool tip. The rotating part is fixed at the machining spindle of the machine tool, and the center line of the rotating part corresponds to the center line of the machining spindle.

[0135] Example 2

[0136] like Figure 2 , 5 As shown in 6 and 7;

[0137] Example 2 is basically the same as Example 1, except that:

[0138] S700, based on the roughness measurement point coordinate group H1, H2, H3, H4, calculation and analysis are performed to obtain the actual surface average coefficient value of the rotating part along the X-axis and the actual surface average coefficient value along the Y-axis.

[0139] Specifically, including:

[0140] S750, select one roughness measurement point coordinate group, and obtain the corresponding X-axis coordinate value and the corresponding Y-axis coordinate value from multiple roughness measurement point coordinates;

[0141] That is, select the roughness measurement point coordinate group H1, wherein the roughness measurement point coordinate group H1 includes the roughness measurement point coordinates H1T1(x) at time node T1. 1t1 y 1t1 The roughness measurement point coordinates H1T2(x) at time node T2 1t2 y 1t2 The roughness measurement point coordinates H1T3(x) at time node T3 1t3 y 1t3 ) and the roughness measurement point coordinates H1T4(x) at time node T4. 1t4 y 1t4 ); and obtain the corresponding X-axis coordinate value x from it. 1t1 x 1t2 x 1t3 and x 1t4 Get the corresponding Y-axis coordinate value y 1t1 y 1t2 y 1t3 and y 1t4 ;

[0142] S760, calculate the mean of all X-axis coordinate values ​​and obtain the corresponding actual surface system value Δx1 on the X-axis; calculate the mean of all Y-axis coordinate values ​​and obtain the corresponding actual surface system value Δy1 on the Y-axis;

[0143] Right now

[0144] S770, return to the step of selecting one roughness measurement point coordinate group and obtaining the corresponding X-axis coordinate value and the corresponding Y-axis coordinate value from multiple roughness measurement point coordinates, that is, return to the step of S750 until all roughness measurement point coordinate groups have obtained the corresponding X-axis actual surface system value and Y-axis actual surface system value.

[0145] That is, we get Δx2, Δx3, Δx4, Δy2, Δy3 and Δy4 accordingly;

[0146] S780, calculate the mean value of all actual surface coefficient values ​​along the X-axis, and obtain the corresponding average value Q of the actual surface coefficient value along the X-axis. x ; Calculate the mean value of all actual surface coefficient values ​​along the Y-axis, and obtain the corresponding average value Q of the actual surface coefficient value along the Y-axis. y ;

[0147] Right now

[0148] The remaining steps and configurations are the same as in Example 1, and will not be repeated here.

[0149] Example 3

[0150] like Figure 3 , 5 As shown in Figure 6;

[0151] Example 3 is basically the same as Example 1, except that:

[0152] S500 calculates and analyzes the coordinates of the circular measurement point to determine whether the shape of the outer edge contour of the cross section conforms to a circle.

[0153] Specifically, including:

[0154] S510, take the coordinates of 3 circular measurement points to form a reference circle, and calculate the coordinates of the center of the reference circle and the radius of the reference circle.

[0155] S520: Select one circular measurement point from the remaining circular measurement point coordinates as the comparison coordinate, and calculate the distance between the comparison coordinate and the center coordinate of the reference circle.

[0156] S530, calculate the absolute value of the difference between the distance value and the radius value of the reference circle;

[0157] S540, return to the execution of the step of taking one circular measurement point coordinate from the remaining circular measurement point coordinates as the comparison coordinate and calculating the distance value between the comparison coordinate and the center coordinate of the reference circle, until all remaining circular measurement point coordinates are used as comparison coordinates and the corresponding distance values ​​are calculated.

[0158] S560, determine whether the absolute value of all differences is less than or equal to the allowable deviation value;

[0159] S560a, if the absolute value of all the differences is less than or equal to the allowable deviation value, the rotating part is rotated around the center line of the machining shaft by a certain angle through the machining shaft; return to execute the step of scanning the outer edge of the cross section of the circumferential side of the rotating part through the second 5G laser sensor based on the coordinate system, obtaining the coordinates of at least 4 circular measurement points and uploading them through 5G communication, that is, return to execute the step of S400 until the total angle of the rotating part rotating around the center line of the machining shaft is greater than or equal to 360°, then the shape of the outer edge contour of the cross section conforms to a circle;

[0160] The remaining steps and configurations are the same as in Example 1, and will not be repeated here.

[0161] Example 4

[0162] like Figures 4 to 7 As shown;

[0163] Example 4 is basically the same as Example 2, except that:

[0164] S500 calculates and analyzes the coordinates of the circular measurement point to determine whether the shape of the outer edge contour of the cross section conforms to a circle.

[0165] Specifically, including:

[0166] S510, take the coordinates of 3 circular measurement points to form a reference circle, and calculate the coordinates of the center of the reference circle and the radius of the reference circle.

[0167] S520: Select one circular measurement point from the remaining circular measurement point coordinates as the comparison coordinate, and calculate the distance between the comparison coordinate and the center coordinate of the reference circle.

[0168] S530, calculate the absolute value of the difference between the distance value and the radius value of the reference circle;

[0169] S540, return to the execution of the step of taking one circular measurement point coordinate from the remaining circular measurement point coordinates as the comparison coordinate and calculating the distance value between the comparison coordinate and the center coordinate of the reference circle, until all remaining circular measurement point coordinates are used as comparison coordinates and the corresponding distance values ​​are calculated.

[0170] S560, determine whether the absolute value of all differences is less than or equal to the allowable deviation value;

[0171] S560a, if the absolute value of all the differences is less than or equal to the allowable deviation value, the rotating part is rotated around the center line of the machining shaft by a certain angle through the machining shaft; return to execute the step of scanning the outer edge of the cross section of the circumferential side of the rotating part based on the coordinate system through the second 5G laser sensor to obtain the coordinates of at least 4 circular measurement points and upload them through 5G communication until the total angle of the rotating part rotating around the center line of the machining shaft is greater than or equal to 360°, then the shape of the outer edge contour of the cross section conforms to a circle;

[0172] The remaining steps and configurations are the same as in Example 2, and will not be repeated here.

[0173] Example 5

[0174] like Figures 8 to 9 As shown;

[0175] A shape detection system for rotary part machining based on 5G includes: a workshop 100, a processor, and a memory. The workshop 100 is equipped with a machine tool 200 and multiple first 5G laser sensors 300. The machine tool 200 is equipped with a tool holder 210 and a machining spindle 220. The tool holder 210 is equipped with a cutting tool 211 and a second 5G laser sensor 400, located to one side of the cutting tool 211. The scanning area of ​​the second 5G laser sensor 400 corresponds to the tip position of the cutting tool 211. A rotary part 001 is fixed at the machining spindle 220 of the machine tool 200, and the center line of the spindle of the rotary part 001 corresponds to the center line of the machining spindle 220. The memory stores a computer program, which, when executed by the processor, implements the steps of any one of embodiments 1 to 4. Specifically, the processor is a microcontroller or a PLC processor, and both the first 5G laser sensors 300 and the second 5G laser sensors 400 are equipped with 5G communicators.

[0176] Preferably, an illumination indicator 600 is provided on one side of the second 5G laser sensor 400, and the illumination area of ​​the illumination indicator 600 corresponds to the scanning area of ​​the second 5G laser sensor 400. Specifically, the illumination light of the illumination indicator 600 is red. With the above arrangement, the illumination indicator 600 emits visible illumination light covering the scanning area of ​​the second 5G laser sensor 400, allowing the operator to see the scanning area of ​​the second 5G laser sensor 400 on the rotating part 001, thereby facilitating the adjustment of the scanning area of ​​the second 5G laser sensor 400.

[0177] Preferably, a plurality of first 5G laser sensors 300 are arranged around the edge of the workshop 100 inside the workshop 100. This arrangement enables the first 5G laser sensors 300 to scan the interior of the workshop 100.

[0178] Preferably, multiple cameras 500 are also installed inside the workshop 100, and a first 5G laser sensor 300 is mounted on each camera 500. More preferably, the first 5G laser sensor 300 is integrally integrated with the camera 500. This arrangement enables the camera 500 to acquire image information about the interior of the workshop 100.

[0179] Preferably, multiple cameras 500 and multiple first 5G laser sensors 300 are arranged around the edge of the workshop 100 inside the workshop 100. This arrangement enables the first 5G laser sensors 300 to scan the interior of the workshop 100; simultaneously, the cameras 500 can acquire image information from the interior of the workshop 100.

[0180] Preferably, the workshop 100 includes an aisle 110, a parts placement area 120, and a machine tool placement area 130, with the aisle 110 located between the parts placement area 120 and the machine tool placement area 130. The parts placement area 120 is used to place the rotating parts 001 to be processed, the machine tool placement area 130 is used to place the machine tool 200, and the aisle 110 is used for personnel passage.

[0181] Preferably, the second 5G laser sensor 400 is positioned along the tool 211 in a direction away from the tool tip. This arrangement prevents the second 5G laser sensor 400 from colliding with the rotating component 001.

[0182] Based on the disclosure and teachings of the foregoing specification, those skilled in the art can make changes and modifications to the above embodiments. Therefore, the present invention is not limited to the specific embodiments described above, and any obvious improvements, substitutions, or modifications made by those skilled in the art based on the present invention are within the scope of protection of the present invention. Furthermore, although some specific terms are used in this specification, these terms are only for convenience of explanation and do not constitute any limitation on the present invention.

Claims

1. A surface roughness detection method for rotary part machining based on 5G, characterized in that, include: S300 establishes a coordinate system based on the relative positions of the rotating component, the second 5G laser sensor, and the tool holder on the machine tool; S400, based on the coordinate system, the outer edge of the cross-section of the circumferential side of the rotating part is scanned by the second 5G laser sensor to obtain the coordinates of at least 4 circular measurement points and upload them through 5G communication; S500, perform calculations and analysis based on the coordinates of the circular measurement point to determine whether the shape of the outer edge of the cross-section where the circular measurement point is located conforms to a circle; S500a, if the shape of the outer edge of the cross section conforms to a circle, then the machining shaft is started, and the machining shaft drives the rotating part to rotate around its center line; S600, based on the coordinate system, the second 5G laser sensor periodically scans the outer edge of the cross-section of the circumferential side of the rotating part in a rotating state, obtains multiple roughness measurement point coordinate sets at different time points, and uploads them through 5G communication. The roughness measurement point coordinate set includes multiple roughness measurement point coordinates. S700, based on the coordinates of multiple roughness measurement points, calculations are performed to obtain the average surface coefficient of the rotating part along the X-axis and the average surface coefficient of the rotating part along the Y-axis. S800, obtain the X-axis average surface coefficient value and the Y-axis average surface coefficient value of the finished rotating part, compare the actual X-axis average surface coefficient value with the X-axis finished surface average coefficient value, and compare the actual Y-axis average surface coefficient value with the Y-axis finished surface average coefficient value. S800a, if the average coefficient of the actual surface of the X-axis is less than or equal to the average coefficient of the finished surface of the X-axis, and the average coefficient of the actual surface of the Y-axis is less than or equal to the average coefficient of the finished surface of the Y-axis, then the circumferential side surface of the rotating part meets the requirements of the finished surface roughness. The machine tool is equipped with a tool holder and a machining spindle. The tool holder is equipped with a cutting tool and a second 5G laser sensor. The second 5G laser sensor is located on one side of the cutting tool, and the scanning area of ​​the second 5G laser sensor corresponds to the position of the cutting tool tip. The rotating component is fixed at the machining spindle of the machine tool, and the center line of the rotating component corresponds to the center line of the machining spindle.

2. The surface roughness detection method for 5G-based rotary part machining according to claim 1, characterized in that, S700, based on the coordinate sets of multiple roughness measurement points, calculations and analyses are performed to obtain the average surface coefficient values ​​of the rotating part along the X-axis and Y-axis, including: S710, Select one roughness measurement point coordinate group, and filter out the largest X-axis coordinate value, the smallest X-axis coordinate value, the largest Y-axis coordinate value, and the smallest Y-axis coordinate value from the multiple roughness measurement point coordinates therein; S720, calculate the difference between the largest and smallest X-axis coordinate values, and obtain the corresponding actual surface system value on the X-axis; calculate the difference between the largest and smallest Y-axis coordinate values, and obtain the corresponding actual surface system value on the Y-axis; S730, return to the execution of the step of selecting one roughness measurement point coordinate group and filtering out the largest X-axis coordinate value, the smallest X-axis coordinate value, the largest Y-axis coordinate value and the smallest Y-axis coordinate value from the multiple roughness measurement point coordinates, until all the roughness measurement point coordinate groups have obtained the corresponding X-axis actual surface system value and Y-axis actual surface system value. S740, calculate the mean value of all the actual surface coefficient values ​​of the X-axis, and obtain the corresponding average value of the actual surface coefficient value of the X-axis; calculate the mean value of all the actual surface coefficient values ​​of the Y-axis, and obtain the corresponding average value of the actual surface coefficient value of the Y-axis.

3. The surface roughness detection method for 5G-based rotary part machining according to claim 1, characterized in that, S700, based on the coordinate sets of multiple roughness measurement points, calculations and analyses are performed to obtain the average surface coefficient values ​​of the rotating part along the X-axis and Y-axis, including: S750, Select one roughness measurement point coordinate group, and obtain the corresponding X-axis coordinate value and the corresponding Y-axis coordinate value from the multiple roughness measurement point coordinates therein; S760, calculate the mean value of all the X-axis coordinate values ​​and obtain the corresponding actual surface system value of the X-axis; calculate the mean value of all the Y-axis coordinate values ​​and obtain the corresponding actual surface system value of the Y-axis; S770, return to the step of selecting one roughness measurement point coordinate group and obtaining the corresponding X-axis coordinate value and the corresponding Y-axis coordinate value from multiple roughness measurement point coordinates, until all roughness measurement point coordinate groups have obtained the corresponding X-axis actual surface system value and Y-axis actual surface system value. S780, calculate the mean value of all the actual surface coefficient values ​​of the X-axis, and obtain the corresponding average value of the actual surface coefficient value of the X-axis; calculate the mean value of all the actual surface coefficient values ​​of the Y-axis, and obtain the corresponding average value of the actual surface coefficient value of the Y-axis.

4. A surface roughness detection method for 5G-based rotary part machining according to any one of claims 1 to 3, characterized in that, S500, based on the coordinates of the circular measurement point, perform calculations and analysis to determine whether the shape of the outer edge of the cross-section conforms to a circle, including: S510, take the coordinates of 3 of the circular measurement points to form a reference circle, and calculate the center coordinates of the reference circle and the radius value of the reference circle; S520, take one of the remaining circular measurement point coordinates as the comparison coordinate, and calculate the distance between the comparison coordinate and the center coordinate of the reference circle; S530, calculate the absolute value of the difference between the distance value and the radius value of the reference circle; S540, return to the step of taking one of the remaining circular measurement point coordinates as the comparison coordinate and calculating the distance between the comparison coordinate and the center coordinate of the reference circle, until all the remaining circular measurement point coordinates are used as comparison coordinates and the corresponding distance values ​​are calculated. S560, determine whether the absolute value of all the differences is less than or equal to the allowable deviation value; S560a, if the absolute value of all the differences is less than or equal to the allowable deviation value, then the shape of the outer edge of the cross section conforms to a circle; S560b, if the absolute value of the difference is greater than the allowable deviation value, then the shape of the outer edge of the cross-section does not conform to a circle.

5. A surface roughness detection method for 5G-based rotary part machining according to any one of claims 1 to 3, characterized in that, S500, based on the coordinates of the circular measurement point, perform calculations and analysis to determine whether the shape of the outer edge of the cross-section conforms to a circle, including: S510, take the coordinates of 3 of the circular measurement points to form a reference circle, and calculate the center coordinates of the reference circle and the radius value of the reference circle; S520, take one of the remaining circular measurement point coordinates as the comparison coordinate, and calculate the distance between the comparison coordinate and the center coordinate of the reference circle; S530, calculate the absolute value of the difference between the distance value and the radius value of the reference circle; S540, return to the step of taking one of the remaining circular measurement point coordinates as the comparison coordinate and calculating the distance between the comparison coordinate and the center coordinate of the reference circle, until all the remaining circular measurement point coordinates are used as comparison coordinates and the corresponding distance values ​​are calculated. S560, determine whether the absolute value of all the differences is less than or equal to the allowable deviation value; S560a, if the absolute value of all the differences is less than or equal to the allowable deviation value, then the rotating part is rotated around the center line of the machining shaft by a certain angle through the machining shaft; return to the execution of the step of scanning the outer edge of the cross-section of the circumferential side of the rotating part based on the coordinate system, obtaining the coordinates of at least 4 circular measurement points and uploading them through 5G communication, until the total angle of the rotating part rotating around the center line of the machining shaft is greater than or equal to 360°, then the shape of the outline of the outer edge of the cross-section conforms to a circle; S560b, if the absolute value of the difference is greater than the allowable deviation value, then the shape of the outer edge of the cross-section does not conform to a circle.

6. A surface roughness detection method for 5G-based rotary part machining according to any one of claims 1 to 3, characterized in that, Also includes: S800b, if the average coefficient of the actual surface of the X-axis is greater than the average coefficient of the finished surface of the X-axis, and / or the average coefficient of the actual surface of the Y-axis is greater than the average coefficient of the finished surface of the Y-axis, then the rotating part does not meet the requirements for the surface roughness of the finished product.

7. A surface roughness detection method for 5G-based rotary part machining according to any one of claims 1 to 3, characterized in that, Also includes: S100: The rotating part in the workshop is scanned by the first 5G laser sensor to confirm the placement position of the rotating part in the workshop and the data is uploaded via 5G communication; the rotating part is scanned by the first 5G laser sensor to obtain the initial external dimensions of the rotating part and the data is uploaded via 5G communication to determine whether the external dimensions of the rotating part meet the workpiece size requirements. S100a, if the external dimensions of the rotating part meet the workpiece size requirements, then according to the workshop placement position of the rotating part, the rotating part is fixed at the machining axis of the machine tool, and the axis center line of the rotating part corresponds to the axis center line of the machining axis. S100b: If the external dimensions of the rotating part do not meet the workpiece size requirements, a corresponding alarm will be issued.

8. The surface roughness detection method for 5G-based rotary part machining according to claim 7, characterized in that, Also includes: S200: The rotating part at the processing shaft is scanned by the first 5G laser sensor, the outer dimensions of the rotating part are obtained for the second time and uploaded through 5G communication to generate a rough shape drawing of the rotating part; the finished shape drawing of the rotating part is obtained, and it is determined whether the rough shape drawing of the rotating part can encompass the finished shape drawing of the rotating part. S200a, if the outline drawing of the rotary part blank can encompass the outline drawing of the rotary part finished product, then the machine tool is scanned by the first 5G laser sensor to confirm the relative positions of the rotary part, the second 5G laser sensor and the tool holder on the machine tool and the data is uploaded via 5G communication. S200b: If the outline drawing of the rotary part blank cannot encompass the outline drawing of the rotary part finished product, a corresponding alarm will be issued.

9. A surface roughness detection method for 5G-based rotary part machining according to any one of claims 1 to 3, characterized in that, Also includes: S500b: If the outline of the outer edge of the cross-section does not conform to a circle, a corresponding alarm is issued.

10. A surface roughness detection system for rotary part machining based on 5G, characterized in that, include: The system includes a workshop, a processor, and a memory. The workshop is equipped with a machine tool and a first 5G laser sensor. The machine tool is equipped with a tool holder and a machining spindle. The tool holder is equipped with a cutting tool and a second 5G laser sensor. The second 5G laser sensor is located on one side of the cutting tool, and the scanning area of ​​the second 5G laser sensor corresponds to the tip position of the cutting tool. The memory stores a computer program, which, when executed by the processor, implements the steps of the method according to any one of claims 1 to 9.

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