A system to improve the welding of crossbeams on the rear floor

Abstract

The invention discloses a system for improving the welding of beams on a rear floor, comprising a prediction module, a comparison module, an adjustment module and a control module; the prediction module predicts the completion time of the beams on the rear floor after welding by a welder; the comparison module compares the prediction coefficient MA of the welding of beams on the rear floor after welding by welder A is completed with the prediction coefficient of the welding of beams on the rear floor after welding by welder B is completed; the comparison module sends the calculated adjustment factor to the adjustment module, and the adjustment module adjusts the welding speed of the welder and the moving speed of the robot accordingly; the control module is respectively connected to the welder and the robot for communication, the control module receives the adjustment value of the welding speed of the welder and the adjustment value of the moving speed of the robot from the adjustment module, and then sends the corresponding adjustment values ​​to the welder and the robot respectively. The invention can ensure the balance of the welding rhythms of the two welders, avoid the waiting phenomenon of the robot and the welder with faster completion time, and improve the efficiency of the welding of beams on the rear floor.

Description

Technical Field

[0001] The invention relates to the technical field of vehicle frame welding, and in particular to a system for improving the welding of a crossbeam on a rear floor. Background Art

[0002] Chinese patent CN212682932U discloses a rear floor crossbeam assembly welding fixture, including a fixture base, two rear floor crossbeam body positioning and clamping mechanisms, two side connecting plate positioning and clamping mechanisms and a rear seat mounting bracket positioning and clamping mechanism are arranged on the fixture base;

[0003] In the prior art, when welding the crossbeam on the rear floor, a robot is usually used to control the welding machine to perform welding along a preset route. The welding time is relatively long because a single welder is used for welding. When multiple welders are used for simultaneous welding, each welder has a different welding time, some are fast and some are slow, causing the welder that has finished welding first to wait, affecting the production rhythm. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems of the background technology and to provide a system for improving the welding of the cross beam on the rear floor.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A system for improving the welding of crossbeams on a rear floor, comprising a prediction module, a comparison module, an adjustment module, and a control module;

[0007] The prediction module predicts the completion time of the beam on the floor after welding by the welding machine;

[0008] The comparison module compares the obtained prediction coefficient MA of the cross beam welding on the floor after the completion of the A welder with the prediction coefficient of the cross beam welding on the floor after the completion of the B welder, and calculates the adjustment factor α;

[0009] The adjustment module, the comparison module sends the calculated adjustment factor to the adjustment module, and then the adjustment module adjusts the welding speed of the welding machine and the moving speed of the robot according to the adjustment factor α, so that the prediction coefficients of the two welding machines are the same;

[0010] The control module is respectively connected to the welding machine and the robot for communication. The control module receives the adjustment value of the welding speed of the welding machine and the adjustment value of the moving speed of the robot from the adjustment module, and then sends the corresponding adjustment values ​​to the welding machine and the robot respectively, so that the welding machine and the robot work according to the assigned adjustment values.

[0011] As a further solution of the present invention: two welding machines are provided and are correspondingly installed on the output ends of different robots, and the two welding machines are used to weld different welding points on the beam on the aftercare floor.

[0012] As a further solution of the present invention: Before welding, adjust the solder joint distribution on the rear floor upper cross member.

[0013] As a further solution of the present invention: The working process of the prediction module is as follows:

[0014] The prediction module matches the optimal welding path for welding machines A and B, then obtains the average welding speed and historical welding speed of welding machines A and B, and then calculates the welding speed coefficient XA of welding machine A and the welding speed coefficient XB of welding machine B respectively;

[0015] Obtain the speed and historical moving speed of the robot corresponding to welding machine A moving along the solder joints in area a of the rear floor upper cross member, and the speed and historical moving speed of the robot corresponding to welding machine B moving along the solder joints in area b of the rear floor upper cross member, and then calculate the moving speed coefficient YA of the robot corresponding to welding machine A and the moving speed coefficient YB of the robot corresponding to welding machine B respectively;

[0016] Calculate the prediction coefficients of welding machines A and B according to the welding speed coefficients of the welding machines and the moving speed coefficients of the robots.

[0017] As a further solution of the present invention: The welding speed coefficient XA of welding machine A is the average welding speed of welding machine A divided by the historical welding speed of welding machine A, and the welding speed coefficient XB of welding machine B is the average welding speed of welding machine B divided by the historical welding speed of welding machine B.

[0018] As a further solution of the present invention: The prediction coefficient MA of welding machine A = (XA × a1 + YA × a2)e-β, and the prediction coefficient MB of welding machine B = (XB × a1 + YB × a2)e-β.

[0019] As a further solution of the present invention: The adjustment factor α is: First, compare the magnitudes of MA and MB; if MA > MB, then the adjustment factor α = MA / MB; if MA < MB, then the adjustment factor α = MB / MA.

[0020] As a further solution of the present invention: Taking the welding speed coefficient of welding machine A and the robot moving speed as standards, according to the adjustment factor α, calculate the adjustment value of the welding speed of welding machine B as TBH = (PA*nA) / (α*nB).

[0021] As a further solution of the present invention: The adjustment value of the robot moving speed of welding machine B is TBJ = (SB*YA) / (SA*α).

[0022] The beneficial effects of the present invention:

[0023] The present invention arranges two welders to weld the crossbeam on the rear floor, which is equivalent to that the crossbeam on the rear floor is welded by only one welder before, and effectively improves the efficiency of welding the crossbeam on the rear floor; and on this basis, through the prediction module, the comparison module, the adjustment module and the control module, the welding speed of the welder for a single welding point and the efficiency of the robot when moving along the path, which affect the welding efficiency, are adjusted to ensure that the welding rhythms of the two welders are balanced and the welding time is the same, so as to avoid the waiting phenomenon of the robot and welder with faster completion time, and improve the efficiency of welding the crossbeam on the rear floor. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention will be further described below in conjunction with the accompanying drawings.

[0025] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] See also Figure 1 As shown, the present invention is a system for improving the welding of the crossbeam on the rear floor, including a prediction module, a comparison module, an adjustment module, and a control module;

[0028] The prediction module is set on the welding machine to predict the completion time of the beam on the floor after the welding by the welding machine; wherein, there are two welding machines, and they are correspondingly installed on the output ends of different robots, and the two welding machines are used to weld different welding points on the beam on the floor after the treatment. Before welding, it is necessary to adjust the distribution of welding points on the beam on the floor after the treatment to ensure that the welding beats of the two welding machines are balanced and the welding time is the same, so as to avoid the phenomenon that the robot and welding machine with faster completion time are waiting, and improve the efficiency of welding the beam on the floor after the treatment;

[0029] Specifically, the two welders are numbered A and B, and the distribution areas of the weld points on the beam on the rear floor are also numbered a and b, that is, when working, welder A is responsible for the weld points in area a of the beam on the rear floor, and welder B is responsible for the weld points in area b of the beam on the rear floor; and the prediction module predicts that the completion time of welder A is t1, and the completion time of welder B is t2;

[0030] The specific prediction process of the prediction module for the completion time of the welding machine is as follows:

[0031] Step 1: The prediction module determines the optimal welding path for Welding Machine A and Welding Machine B, then obtains the average welding speed and historical welding speed of Welding Machine A and Welding Machine B, and then calculates the welding speed coefficient XA of Welding Machine A and the welding speed coefficient XB of Welding Machine B respectively;

[0032] Among them, the welding speed coefficient XA of Welding Machine A is the average welding speed of Welding Machine A divided by the historical welding speed of Welding Machine A, and the welding speed coefficient XB of Welding Machine B is the average welding speed of Welding Machine B divided by the historical welding speed of Welding Machine B;

[0033] Step 2: According to the optimal welding path obtained in Step 1, obtain the speed and historical moving speed of the robot corresponding to Welding Machine A moving along the weld points in area a of the rear floor upper crossbeam, and the speed and historical moving speed of the robot corresponding to Welding Machine B moving along the weld points in area b of the rear floor upper crossbeam, and then calculate the moving speed coefficient YA of the robot corresponding to Welding Machine A and the moving speed coefficient YB of the robot corresponding to Welding Machine B respectively;

[0034] Among them, the moving speed coefficient YA of the robot corresponding to Welding Machine A is the moving speed of the robot corresponding to Welding Machine A divided by the historical moving speed; the moving speed coefficient YB of the robot corresponding to Welding Machine B is the moving speed of the robot corresponding to Welding Machine B divided by the historical moving speed;

[0035] Step 3: Calculate the prediction coefficients of Welding Machine A and Welding Machine B respectively;

[0036] Substitute the welding speed coefficient and the robot moving speed into the formula for calculation, that is, MA = (XA × a1 + YA × a2)e-β, MB = (XB × a1 + YB × a2)e-β, where MA represents the prediction coefficient for Welding Machine A to complete the welding of the rear floor upper crossbeam, MB represents the prediction coefficient for Welding Machine B to complete the welding of the rear floor upper crossbeam, a1 and a2 are both proportionality coefficients, and a1 > 0, a2 > 0, e is the natural constant, and β is the error coefficient with a value of 1.23;

[0037] The comparison module compares the obtained prediction coefficient MA for Welding Machine A to complete the welding of the rear floor upper crossbeam with the prediction coefficient for Welding Machine B to complete the welding of the rear floor upper crossbeam, and calculates the adjustment factor α;

[0038] Among them, during the comparison process, first compare the magnitudes of MA and MB; if MA > MB, then the adjustment factor α = MA / MB; if MA < MB, then the adjustment factor α = MB / MA;

[0039] The adjustment module. The comparison module sends the calculated adjustment factor to the adjustment module, and then the adjustment module adjusts the welding speed and the robot moving speed of the welding machine according to the adjustment factor α so that the prediction coefficients of the two welding machines are the same;

[0040] Among them, taking the welding speed coefficient of welding machine A and the moving speed of the robot as the standard, according to the adjustment factor α, the adjustment value of the welding speed of welding machine B is calculated as TBH=(PA*nA) / (α*nB), where PA is the time consumed by welding machine A to weld a single weld, nA is the number of welds in area a of the beam on the rear floor that welding machine A is responsible for, and nB is the number of welds in area b of the beam on the rear floor that welding machine B is responsible for; and the adjustment value of the moving speed of the robot of welding machine B is calculated as TBJ=(SB*YA) / (SA*α), where SA is the distance of the optimal welding path matched by welding machine A, and SB is the distance of the optimal welding path matched by welding machine B;

[0041] The control module is respectively connected to the welding machine and the robot for communication. The control module receives the adjustment value of the welding speed of the welding machine and the adjustment value of the moving speed of the robot from the adjustment module, and then sends the corresponding adjustment values ​​to the welding machine and the robot respectively, so that the welding machine and the robot work according to the assigned adjustment values.

[0042] The working principle of the present invention is as follows: first, the prediction module is used to predict the optimal welding path, welding speed of the welding machine and the speed of the corresponding robot moving along the path for the A welder and the B welder; the prediction coefficients of the A welder and the B welder are calculated according to the acquired parameters, and then the prediction coefficients of the A welder and the B welder are compared through the comparison module, and the adjustment factor α is calculated;

[0043] Then, the adjustment module adjusts the welding speed of the welder and the moving speed of the robot according to the adjustment factor α, and sends the corresponding adjustment values ​​to the welder and the robot, respectively, so that the welder and the robot work according to the assigned adjustment values.

[0044] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A system for improving the welding of crossbeams on the rear floor, characterized in that: It includes a prediction module, a comparison module, an adjustment module, and a control module; The prediction module predicts the completion time of the welding of the upper crossbeam of the rear floor by the welding machine; The comparison module compares the predicted coefficient MA of the upper crossbeam of the rear floor welded by welding machine A with the predicted coefficient of the upper crossbeam of the rear floor welded by welding machine B, and calculates the adjustment factor α; Adjustment module: The comparison module sends the calculated adjustment factor to the adjustment module. Then, the adjustment module adjusts the welding speed of the welding machine and the moving speed of the robot according to the adjustment factor α, so that the predicted coefficients of the two welding machines are the same; Control module: It is communicatively connected to the welding machine and the robot respectively. The control module receives the adjustment values of the welding speed of the welding machine and the moving speed of the robot from the adjustment module, and then sends the corresponding adjustment values to the welding machine and the robot respectively, so that the welding machine and the robot work according to the given adjustment values.

2. A system for improving the welding of crossbeams on the rear floor according to claim 1, characterized in that: There are two welding machines, which are respectively installed at the output ends of different robots. The two welding machines weld different welding points on the upper crossbeam of the rear floor.

3. A system for improving the welding of crossbeams on the rear floor according to claim 1, characterized in that: Before welding, adjust the distribution of the welding points on the upper crossbeam of the rear floor.

4. A system for improving the welding of crossbeams on the rear floor according to claim 1, characterized in that: The working process of the prediction module is as follows: The prediction module matches the optimal welding paths for welding machine A and welding machine B, then obtains the average welding speed and historical welding speed of welding machine A and welding machine B, and then calculates the welding speed coefficient XA of welding machine A and the welding speed coefficient XB of welding machine B respectively; Obtain the moving speed and historical moving speed of the robot corresponding to welding machine A moving along the welding points in area a of the upper crossbeam of the rear floor, and the moving speed and historical moving speed of the robot corresponding to welding machine B moving along the welding points in area b of the upper crossbeam of the rear floor, and then calculate the moving speed coefficient YA of the robot corresponding to welding machine A and the moving speed coefficient YB of the robot corresponding to welding machine B respectively; According to the welding speed coefficient of the welding machine and the moving speed coefficient of the robot, calculate the predicted coefficients of welding machines A and B.

5. A system for improving the welding of crossbeams on the rear floor according to claim 4, characterized in that: The welding speed coefficient XA of welding machine A is the average welding speed of welding machine A divided by the historical welding speed of welding machine A, and the welding speed coefficient XB of welding machine B is the average welding speed of welding machine B divided by the historical welding speed of welding machine B.

6. A system for improving the welding of crossbeams on the rear floor according to claim 5, characterized in that: The predicted coefficient MA of welding machine A = (XA × a1 + YA × a2)e-β, and the predicted coefficient MB of welding machine B = (XB × a1 + YB × a2)e-β; both a1 and a2 are proportionality coefficients, and a1 > 0, a2 > 0, e is the natural constant, and β is the error coefficient with a value of 1.

23.

7. A system for improving the welding of crossbeams on the rear floor according to claim 1, characterized in that: The adjustment factor α is: First, compare the magnitudes of MA and MB; if MA > MB, then the adjustment factor α = MA / MB; if MA < MB, then the adjustment factor α = MB / MA.

8. A system for improving the welding of crossbeams on the rear floor according to claim 7, characterized in that: Taking the welding speed coefficient of welding machine A and the moving speed of the robot as the standard, according to the adjustment factor α, calculate the adjustment value of the welding speed of welding machine B as TBH = (PA * nA) / (α * nB), where PA is the time consumed by welding machine A to weld a single welding point, nA is the number of welding points in area a of the upper crossbeam of the rear floor that welding machine A is responsible for, and nB is the number of welding points in area b of the upper crossbeam of the rear floor that welding machine B is responsible for.

9. A system for improving the welding of crossbeams on the rear floor according to claim 8, characterized in that: The adjustment value of the robot moving speed of the B welder is TBJ=(SB*YA) / (SA*α); SA is the distance of the A welder matching the optimal welding path, and SB is the distance of the B welder matching the optimal welding path.

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