Small-batch online debugging method in production period
By adopting small batches of online debugging methods in automotive painting production, the corresponding relationship of temporary model code and debugging action curve is used to temporarily change the model code during the production process, so that the body automatically executes the debugging action curve, and solves the optimization process of the action curve optimization process. The problems of the long period of uncertainty and the period of discontinuation and commissioning methods have achieved the consistency of efficient and accurate debugging and production environment.
Patent Information
- Application Number
- CN202310922747.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-26
- Publication Date
- 2025-01-28
AI Technical Summary
In automotive coating production, the incorporation of new models or the demand for quality optimization leads to uncertainty in the action curve optimization process, which may lead to batch quality problems, and the existing shutdown and debugging methods have long cycles, waste of energy and low reliability of results.
Adopt a small batch of online debugging methods, by defining the corresponding relationship of temporary model code and debugging action curve in the vehicle control system, temporarily change the model code during the production process, so that the body can automatically perform the debugging action curve, and realize it in large quantities of production. Small batch debugging.
The debugging cycle is shortened, the accuracy of the debugging results is improved, the funds and energy are saved, and the production and debugging are carried out in a completely consistent process environment.
Smart Images
Figure CN119372744A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of automobile coating production, and in particular to a small batch online debugging method during production. Background Art
[0002] The primer area (pre-treatment electrophoresis) of the paint shop uses a carrier with a customizable action curve to carry the car body in the tank to do actions such as immersion, swinging, and leaching. Different models have different model codes. After the car body is loaded onto the carrier, the system automatically corresponds to different preset action curves. Due to the complex structure of the car body, there are many cavities and curved surfaces. The angle, speed, duration, etc. of each action in the curve have a great impact on the quality of the car body. Due to the needs of incorporating new models and optimizing quality, it is often necessary to optimize the action curve.
[0003] Due to the uncertainty of the optimization process, if all models are mapped to unverified optimized curves during production, it may lead to batch quality problems and uncontrollable risks. We can only use the weekend production stoppage time to use a few car bodies to verify the optimized curves. Only when the effect meets the requirements can we switch as a whole.
[0004] The existing production optimization process is as follows:
[0005] 1. During the production day, if Figure 3 As shown:
[0006] All car bodies have corresponding model codes in the system, corresponding to the production curves, and perform actions in the tank according to the production curves (example actions are as follows Figure 1 ).
[0007] 2. During the suspension day, if Figure 4 As shown:
[0008] Step 1: Prepare the debugging action curve according to the process requirements and download the debugging action curve to the carrier.
[0009] Step 2: Establish the corresponding relationship between the existing vehicle model code and the debugging action curve.
[0010] Step 3: After all the car bodies are loaded onto the carrier, the debugging action curve will be automatically loaded and the actions will be performed in the tank according to the debugging action curve (example actions are as follows: Figure 2 ).
[0011] Step 4: Get the result. If the result achieves the expected effect, keep this usage relationship for subsequent mass production.
[0012] Step 5: If further optimization is required, it will be carried out on the next production suspension day due to the influence of the vehicle body and time.
[0013] First, there are many process parameters that need to be met during the production process, such as wind direction, water flow, temperature, liquid level, etc. The debugging performed using several debugging vehicles during the weekend shutdown cannot fully simulate the air vortex and liquid level fluctuations generated by the large-scale continuous entry of vehicles during production, resulting in deviations in the results. Secondly, after a debugging conclusion is reached, due to the influence of the vehicle body and shutdown time, if you want to continue debugging, you can only wait until the next shutdown day, and the overall cycle is long. Moreover, on the next shutdown day, some parameters have changed again, and the consistency of each variable cannot be guaranteed during each debugging process. A lot of energy is wasted to ensure the process parameters during the shutdown and debugging period.
[0014] In view of the above problems, the inventors of the present invention finally obtained the present invention after a long period of research and practice. Summary of the invention
[0015] In order to solve the above technical problems, the present invention provides a small batch online debugging method during production, which can be used to specify one or several vehicles to run the debugging curve in large-scale production, thereby increasing the flexibility of debugging and greatly shortening the debugging cycle and the funds required.
[0016] The technical solution adopted by the present invention is:
[0017] In one solution, a small batch online debugging method during production is provided, which is applied to the production line of the electrophoretic dip coating area of the car body, including:
[0018] Step 1: Prepare the debugging action curve according to the process requirements;
[0019] Step 2: Download the debugging action curve to the vehicle's control system;
[0020] Step 3: Define a temporary vehicle model code, and establish a corresponding relationship between the temporary vehicle model code and the debugging action curve in the vehicle control system;
[0021] Step 4: In the daily production process, before the adjustment body is loaded onto the carrier, the vehicle model code of the body is manually changed to a temporary vehicle model code;
[0022] Step 5: After the adjustment body is dropped onto the carrier, it follows the body queue of the production line. The carrier automatically executes the debugging action curve based on the temporary vehicle model code and completes the adjustment action in the tank liquid.
[0023] Furthermore, the debugging method also includes: step 6, manually changing the temporary vehicle model code back to the original vehicle model code.
[0024] Furthermore, the debugging method also includes: step 7, checking the debugging results. If the results achieve the expected effect, the corresponding relationship in the vehicle control system is changed: the original vehicle model code is matched to the verified debugging action curve for subsequent mass production.
[0025] Furthermore, step 7 also includes: if the result does not achieve the expected effect, executing step 8;
[0026] Step 8: Optimize the debugging action curve according to the debugging result to obtain a new debugging action curve, and repeat steps 2 to 7.
[0027] Furthermore, the adjustment vehicle body may be one or more vehicle bodies.
[0028] In another solution, a small batch online debugging method during production is provided, which is applied to the production line of the electrophoretic dip coating area of the car body, including:
[0029] Step 1: Prepare the debugging action curve according to the process requirements;
[0030] Step 2: Download the debugging action curve to the vehicle's control system;
[0031] Step 3: During daily production, after the adjustment body is dropped onto the carrier, the production curve executed by the carrier is manually changed to a debugging action curve, so that the adjustment body can complete the adjustment action in the tank liquid.
[0032] Compared with the prior art, the beneficial effects of the present invention are:
[0033] The debugging method of the present invention can realize small batch debugging in large batch production. The production body and the debugging body are in the same environment. Except for the curve, other variables are consistent, and the results obtained are accurate. According to the results, the debugging curve can be put into production immediately, or the next round of optimization can be carried out according to the conclusion, and the debugging cycle is short. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0035] Figure 1 A schematic diagram showing the movements of a car body in a bath according to a production curve in an example is shown;
[0036] Figure 2 A schematic diagram showing an example of the actions of a vehicle body in a tank liquid according to a debugging action curve is shown;
[0037] Figure 3 A schematic diagram of the production process in a production day in an existing debugging method is shown;
[0038] Figure 4 A schematic diagram of the debugging process in the shutdown day in the existing debugging method is shown;
[0039] Figure 5 A schematic diagram of the debugging process of the debugging method in Embodiment 1 of the present invention is shown;
[0040] Figure 6 A schematic diagram of the debugging process of the debugging method in Embodiment 2 of the present invention is shown. DETAILED DESCRIPTION
[0041] The above and other technical features and advantages of the present invention are described in more detail below in conjunction with the accompanying drawings.
[0042] As used herein, the term “including” and variations thereof mean open inclusion, ie, “including but not limited to.” Unless otherwise stated, the term “based on” means “based, at least in part, on.”
[0043] Embodiment 1:
[0044] In the present embodiment, a small batch online debugging method during production is provided. Since the correspondence between the vehicle model code and the curve can be set in the control system of the vehicle, a temporary vehicle model code is defined, and the optimized debugging curve is downloaded to the vehicle, and the correspondence between the temporary vehicle model code and the debugging curve is manually set. When debugging is required, before the vehicle body is loaded on the vehicle, the vehicle model code of one or more vehicle bodies is manually changed to the temporary vehicle model code set previously, so that after the vehicle body is loaded on the vehicle, it will automatically correspond to the debugging curve according to the temporary code, thereby realizing small batch debugging in large-scale production. The production vehicle body and the debugging vehicle body are in the same environment, and except for the curve, other variables are consistent, and the results obtained are accurate. Based on the results, the debugging curve can be put into production immediately, or the next round of optimization can be carried out according to the conclusion, and the debugging cycle is short.
[0045] like Figure 5 As shown in the figure, the specific debugging process is as follows:
[0046] During production day,
[0047] Step 1: Prepare the debugging action curve according to the process requirements and download the debugging action curve to the carrier.
[0048] Step 2: Define the temporary vehicle model code.
[0049] Step 3: Establish the corresponding relationship between the temporary code and the debugging action curve.
[0050] Step 4: During the production process, before the vehicle body is loaded onto the carrier, the vehicle model code of one or more vehicle bodies is manually changed to a temporary code.
[0051] Step 5: After the vehicle body is dropped onto the carrier, a new debugging action curve will be automatically loaded and the process will be completed following the traffic flow.
[0052] Step 6: Manually change the vehicle body code from the temporary code back to the original code.
[0053] Step 7: Get the result. If the result reaches the expected effect, change the correspondence relationship to correspond the original vehicle model code to the verified debugging curve for subsequent mass production.
[0054] Step 8: If you need to optimize again, after optimizing and debugging the action curve, repeat steps 2 to 6.
[0055] By defining the temporary vehicle model and the corresponding relationship between the temporary vehicle model and the debugging curve, the vehicle model can be manually changed at the appropriate time, so that in the regular production, the same vehicle model can run different curves in the process flow, ensuring that the debugging and production are completed in a completely consistent process environment. In the test process, except for the curve, there is no difference in other variables, and the results are reliable. The debugging cycle is shortened and debugging funds are saved.
[0056] Embodiment 2:
[0057] like Figure 6 As shown, a small batch online debugging method during production is provided in this embodiment, and the specific debugging process is as follows:
[0058] During production day,
[0059] Step 1: Prepare and debug the action curve according to process requirements.
[0060] Step 2: Download the debugging action curve to the vehicle.
[0061] Step 3: After the vehicle body is placed on the carrier and the production curve has been loaded, the curve of this carrier is manually changed from the production curve to the debugging curve.
[0062] It can be understood that the advantages of this solution compared to the prior art are: the production body and the debugging body are in the same environment, except for the curve, other variables are consistent, and the results obtained are accurate. According to the results, the debugging curve can be put into production immediately, or the next round of optimization can be carried out according to the conclusion, and the debugging cycle is short. However, compared with Example 1, the disadvantage is that: after the body is loaded on the carrier and the production curve has been loaded, the curve of this carrier is changed manually. Therefore, production will inevitably be stopped during operation, and equipment failure may also occur; the timing of the change is not easy to grasp, and poor operation timing will result in the production curve used in the first process and the debugging curve used in the subsequent process. These situations will affect the test results and production efficiency. Therefore, the solution of Example 1 is a more preferred solution.
[0063] The above are only preferred embodiments of the present invention, which are only illustrative and not restrictive. The structures and connection modes of the components in the present invention can be changed, and any equivalent transformations and improvements based on the technical solution of the present invention should not be excluded from the protection scope of the present invention.
Claims
1. A small batch online debugging method during production, characterized in that: Applied to the production line of the electrophoretic dip coating area of the car body, including: Step 1: Prepare the debugging action curve according to the process requirements; Step 2: Download the debugging action curve to the vehicle's control system; Step 3: Define a temporary vehicle model code, and establish a corresponding relationship between the temporary vehicle model code and the debugging action curve in the vehicle control system; Step 4: In the daily production process, before the adjustment body is loaded onto the carrier, the vehicle model code of the body is manually changed to a temporary vehicle model code; Step 5: After the adjustment body is dropped onto the carrier, it follows the body queue of the production line. The carrier automatically executes the debugging action curve based on the temporary vehicle model code and completes the adjustment action in the tank liquid.
2. A small batch online debugging method during production as claimed in claim 1, characterized in that: Also includes: Step 6, manually changing the temporary vehicle model code back to the original vehicle model code.
3. A small batch online debugging method during production as claimed in claim 1 or 2, characterized in that: It also includes: Step 7, checking the debugging results. If the results meet the expected effects, the corresponding relationship in the vehicle control system is changed: the original vehicle model code is matched to the verified debugging action curve for subsequent mass production.
4. A small batch online debugging method during production as claimed in claim 3, characterized in that: The step 7 also includes: if the result does not achieve the expected effect, executing step 8; Step 8: Optimize the debugging action curve according to the debugging result to obtain a new debugging action curve, and repeat steps 2 to 7, wherein the debugging action curve is the optimized new debugging action curve.
5. A small batch online debugging method during production as claimed in claim 1, characterized in that: The adjustment vehicle body may be one or more vehicle bodies.
6. A small batch online debugging method during production, characterized in that: Applied to the production line of the electrophoretic dip coating area of the car body, including: Step 1: Prepare the debugging action curve according to the process requirements; Step 2: Download the debugging action curve to the vehicle's control system; Step 3: During daily production, after the adjustment body is dropped onto the carrier, the production curve executed by the carrier is manually changed to a debugging action curve, so that the adjustment body can complete the adjustment action in the tank liquid.