Intelligent control method and system for plasma modification treatment of automobile ornaments

Abstract

The application relates to the technical field of metal plating, in particular to an intelligent control method and system for plasma modification treatment of automobile ornaments, which comprises the following steps: determining the electric field influence degree of each point on the surface of the automobile ornament, wherein the electric field influence degree represents the difference degree between the actual electric field intensity of the automobile ornament surface when the automobile ornament exists in a chamber and the initial electric field intensity when there is no workpiece; obtaining the spatial narrowness of each point; weighting and fusing the electric field influence degree and the spatial narrowness to obtain a comprehensive processing difficulty index of each point, which represents the processing difficulty degree; dividing the workpiece along the circumference in the film plating process to form multiple sub-zones, determining the regional difficulty of the sub-zone according to the comprehensive processing difficulty of each point in the sub-zone, determining the adaptive bias voltage of each sub-zone according to the regional difficulty, and using the adaptive bias voltage corresponding to each sub-zone to plating each sub-zone. The application can improve the film plating effect inside the complex workpiece groove.

Description

Technical Field

[0001] This application relates to the field of metal plating technology, and in particular to an intelligent control method and system for plasma modification treatment of automotive trim parts. Background Technology

[0002] Automotive interior and exterior trim parts typically require surface modification treatments during mass production to improve their adhesion and abrasion resistance. Plasma surface treatment technology, with its controllable energy, strong substrate adaptability, and stable processing efficiency, is increasingly being used in automotive trim part manufacturing. Magnetron sputtering plasma technology forms functional thin films on trim surface, and due to its low energy consumption and pollution-free characteristics, it has become an important process for surface treatment of automotive parts.

[0003] A magnetron sputtering coating system is a device that uses low-pressure plasma to deposit target atoms onto a substrate surface to form a film. Combined with... Figure 1 It mainly includes a vertical stainless steel vacuum chamber 1, a planetary rotating workpiece holder 2, and a sealing control system. Its working principle is to generate plasma by gas discharge in a high vacuum environment, so that the target material (not shown in the figure) set on the inner wall of the vacuum chamber 1 is ionized or vaporized. Under the acceleration of the electric field, it bombards and deposits on the surface of the workpiece to be plated at high speed. At the same time, the planetary composite rotation motion of the planetary rotating workpiece holder 2 is used to eliminate the shadow effect by revolution and rotation, thereby forming a functional film with uniform thickness, density and strong adhesion on the surface of the workpiece.

[0004] Existing plasma treatment equipment mostly employs a fixed electrode structure and uniform process parameters, treating the entire workpiece surface with the same bias voltage, gas pressure, and radio frequency power. However, automotive trim parts typically contain complex structures, such as deep grooves, reinforcing rib slits, holes, chamfered recesses, and other irregular spaces. These complex geometries easily generate typical electromagnetic shielding effects, causing the applied electric field to attenuate significantly when entering narrow spaces. Simultaneously, the narrow geometries also impede gas flow and particle transport, resulting in a significant decrease in plasma density at the bottom of the deep groove. These factors collectively lead to problems such as insufficient activation, weak local film formation, and an increase in crack initiation points in complex areas of the trim parts, resulting in uneven overall coating effects. Summary of the Invention

[0005] To address the problem of uneven coating in different areas of complex workpieces in traditional sputtering coating processes, this application provides an intelligent control method and system for plasma modification treatment of automotive trim parts.

[0006] Firstly, this application provides an intelligent control method for plasma modification treatment of automotive trim parts, employing the following technical solution:

[0007] A smart control method for plasma modification treatment of automotive trim parts includes: acquiring a three-dimensional geometric model of the automotive trim parts and establishing a simulation environment of the automotive trim parts in the cavity of a plasma treatment device; based on the simulation environment, determining the electric field influence degree at each point on the surface of the automotive trim parts, wherein the electric field influence degree characterizes the difference between the actual electric field strength on the surface of the automotive trim parts when the automotive trim parts are present in the cavity and the initial electric field strength when there are no workpieces.

[0008] The average passage length in multiple preset directions at each point on the surface of the automotive trim is obtained, and the spatial narrowness at each point is determined based on the average passage length.

[0009] The influence of the electric field and the spatial narrowness are weighted and fused to obtain a comprehensive processing difficulty index that represents the ease or difficulty of processing at each point;

[0010] The workpiece is divided into multiple partitions along the circumference during the coating process. The regional difficulty of each partition is determined based on the comprehensive processing difficulty of each point within the partition. The adaptive bias voltage of each partition is determined based on the regional difficulty. The magnitude of the adaptive bias voltage is inversely proportional to the regional difficulty of the corresponding partition.

[0011] Each partition is coated using an adaptive bias voltage corresponding to that partition.

[0012] The electric field influence reflects the effect of the workpiece structure on the electric field; the space narrowness reflects whether the location of each point on the workpiece is spacious, and whether it is easy to cause shading or block airflow during the coating process. Combining these two factors, a comprehensive processing difficulty index for each point is obtained. Based on this, the workpiece is divided into zones, and an adaptive bias control strategy is established. That is, the bias voltage is reduced in the high-difficulty deep trench area to thin the plasma sheath and assist ion entry, while the bias voltage is increased in the low-difficulty flat area to enhance the film hardness. This significantly improves the uniformity, density, and adhesion of the overall coating of complex irregular automotive trim parts.

[0013] Optionally, the step of determining the electric field influence at each point on the surface of the automotive trim includes: obtaining the ratio of the actual electric field strength at each point on the surface of the automotive trim to the initial electric field strength, and taking the difference between 1 and the ratio as the electric field influence.

[0014] Calculating the difference between the actual electric field strength and the initial electric field strength with and without a workpiece can accurately characterize the degree of weakening of the electric field strength at a specific location of the workpiece (such as the bottom of a deep groove) by the Faraday cage effect. This provides an accurate physical basis for subsequent evaluation of coating dead angles and ensures the objectivity and accuracy of the difficulty assessment model.

[0015] Optionally, in the step of obtaining the average passage length of each point on the surface of the automotive trim in multiple preset directions, for any point on the surface of the automotive trim, a straight-line detection is performed along multiple preset directions until an entity is encountered or the maximum search distance is reached, and the average passage length is obtained by averaging the detection lengths in each direction.

[0016] By employing a method of probing in straight lines along multiple preset directions until encountering an entity or reaching the maximum distance, the motion path of particles within complex structures was simulated. This effectively identifies the obstructive effects of geometric structures such as deep holes and narrow slits on particle physical transport, compensating for the inadequacy of relying solely on electric field analysis to fully reflect the difficulty of particle arrival.

[0017] Optionally, during the plasma coating process, the particle bombardment intensity of each zone on the surface of the automotive trim is monitored in real time, and the adaptive bias is dynamically adjusted according to the deviation between the particle bombardment intensity and the preset target intensity of the corresponding area.

[0018] The particle bombardment intensity of each zone is monitored in real time during the coating process, and the adaptive bias is dynamically fine-tuned based on the deviation between the actual value and the preset target value. This effectively compensates for process deviations caused by uncontrollable factors such as gas flow fluctuations and target material consumption during processing, ensuring that the coating effect in each area can still be accurately maintained within the optimal range even when operating conditions fluctuate.

[0019] Optionally, the preset target intensity can be set by attenuating the baseline target intensity based on the regional difficulty corresponding to each partition.

[0020] This means that the baseline target intensity is appropriately reduced based on the regional difficulty of the partition. This avoids the system overload or control failure that could result from forcibly requiring the same particle intensity inside a physically confined deep trench as in a flat area.

[0021] Optionally, in the weighted fusion of the electric field influence degree and the spatial narrowness, the sum of the weight coefficients of the two is 1.

[0022] By limiting the sum of the weighting coefficients to 1, the normalization and stability of the comprehensive processing difficulty index values ​​are ensured.

[0023] Optionally, the preset directions include at least three mutually perpendicular directions.

[0024] It includes at least three mutually perpendicular directions, ensuring the three-dimensionality and comprehensiveness of space exploration.

[0025] Optionally, the step of real-time monitoring of the particle bombardment intensity of each zone on the surface of the automotive trim includes: collecting the current generated by bombarding the workpiece surface; and mapping the processed current value to the actual particle bombardment intensity based on a pre-calibrated functional relationship.

[0026] Optionally, the step of determining the spatial narrowness of each point based on the average passage length includes: calculating the ratio of the average passage length to a preset reference length, and subtracting the difference from 1 to obtain the spatial narrowness.

[0027] Secondly, this application provides an intelligent control system for plasma modification treatment of automotive trim parts, employing the following technical solution:

[0028] An intelligent control system for plasma modification treatment of automotive trim parts includes a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the intelligent control method for plasma modification treatment of automotive trim parts described above is implemented.

[0029] The aforementioned intelligent control method for plasma modification of automotive trim parts is generated into a computer program and stored in a memory for loading and execution by a processor. Thus, a system is created based on the memory and processor for convenient use.

[0030] This application achieves the following technical effects: it integrates the electric field shielding effect with the spatial geometric narrowness to quantify the overall processing difficulty of each point on the workpiece surface. Based on this, the complex workpiece surface is divided into zones, and an inverse mapping relationship between bias voltage and processing difficulty is established. This allows for setting different bias voltages for zones with varying difficulty levels, reducing the occurrence of poor coating quality inside the trenches. Attached Figure Description

[0031] Figure 1 This is a structural diagram of the coating equipment in the background art of this application.

[0032] Figure 2 This is a flowchart of a smart control method for plasma modification treatment of automotive trim parts, as described in this application.

[0033] Reference numerals: 1. Vacuum chamber; 2. Planetary rotating workpiece rack. Detailed Implementation

[0034] This application discloses an intelligent control method for plasma modification of automotive trim parts. It quantifies the processing difficulty from two dimensions: electromagnetic field shielding effect and hydrodynamic particle transport, thereby constructing a comprehensive processing difficulty map and adjusting the bias voltage during plasma processing accordingly. This reduces the occurrence of uneven coating in deep grooves and dead-angle areas on complex, irregularly shaped automotive trim parts.

[0035] Reference Figure 2 A smart control method for plasma modification treatment of automotive trim parts includes steps S1-S6.

[0036] S1: Obtain a three-dimensional geometric model of the automotive trim and establish a simulation environment for the automotive trim within the plasma processing equipment chamber.

[0037] Export a 1:1 scale digital twin model of the automotive trim to be processed from the enterprise's Product Lifecycle Management (PLM) system or Computer-Aided Design (CAD) software via a standard data exchange interface (exemplary, such as STEPAP214 or IGES5.3 protocol).

[0038] A simplified electric field distribution simulation environment is constructed based on the geometric relationship between the workpiece and the cavity to identify areas where electromagnetic shielding and plasma inaccessibility may exist. Specifically, the 3D model of the workpiece, along with the cavity and target material layout, are input into the preprocessing module, with the target material electrode surface set as a high-potential boundary and the cavity wall set as a low-potential boundary. Based on this, the estimated relative electric field intensity at various locations on the workpiece surface is obtained through solving the static potential or geometric projection.

[0039] S2: Based on the simulation environment, determine the electric field influence degree at each point on the surface of the automotive trim. The electric field influence degree characterizes the difference between the actual electric field strength on the surface of the automotive trim when the trim is present in the cavity and the initial electric field strength when there is no trim.

[0040] Based on the electrode layout within the plasma processing chamber and the input radio frequency source parameters, the initial electric field distribution in the absence of a workpiece is calculated by solving Maxwell's equations. Subsequently, the decorative part model is placed into this electric field, and electric field simulation is performed again to obtain the actual electric field at various points on the surface of the decorative part.

[0041] The ratio of the actual electric field strength at each point on the surface of the automotive trim to the initial electric field strength is obtained, and the difference between 1 and this ratio is taken as the electric field influence degree.

[0042] Specifically, the formula for calculating the influence of the electric field can be expressed as:

[0043] In the formula, Indicates the surface point of the trim piece The electric field influence at the location, with a value range of [value missing]. ; For point The actual electric field intensity vector at that location. This is the initial electric field intensity vector when there is no workpiece. It is a very small positive number set to prevent the denominator from being zero, for example... . The norm of a vector.

[0044] From the above formula, it can be seen that when point When located in an open and flat area, the actual electric field strength is approximately equal to the initial electric field strength, indicating that there is almost no electromagnetic shielding at that point, and therefore the final calculated electric field influence approaches zero. Conversely, when the point... Located at the bottom of the deep trench, the electric field is severely shielded due to the Faraday cage effect, resulting in an actual electric field strength lower than the initial electric field strength. The value approaches 0, causing the influence of the electric field to approach 1.

[0045] S3: Obtain the average passage length in multiple preset directions at each point on the surface of the automotive trim, and determine the spatial narrowness of each point based on the average passage length.

[0046] Although the electric field influence can reflect the local field strength attenuation caused by geometric obstruction, the surface electric field strength often remains normal in areas such as narrow inlet slits and deep groove openings. The main factor limiting the amount of ions entering is the excessively small channel geometry. Therefore, this embodiment also introduces spatial narrowness.

[0047] Specifically, a preset set of directions is established. In this embodiment, the direction set includes three orthogonal axes along the local coordinate system of the workpiece and their opposite directions, for a total of six directions. For any point on the surface, its travel length in any direction is calculated. The travel length is obtained using a voxel traversal method. For any point on the workpiece surface, the travel length in any direction is calculated. Starting from that point, a step is taken along that direction until the solid boundary is touched or the maximum search distance is reached. The number of consecutive empty voxels is counted. In this embodiment, the maximum search distance is preset by those skilled in the art based on experience. When the travel length reaches the maximum search distance, it indicates that the point is relatively wide and unobstructed in that direction.

[0048] For any point, after obtaining its passage length in multiple directions, the spatial narrowness of that point can be calculated. The formula for calculating spatial narrowness can be expressed as:

[0049] In the formula, Point The narrowness of the space; The reference length, i.e., the maximum search distance, can be set according to the typical distance from the nozzle to the part. In this embodiment, it is preferably... ; Point The average passage length is the mean of the passage lengths in multiple preset directions.

[0050] As can be seen from the formula, when point When located inside a deep hole or narrow slit, its surroundings are obstructed in most directions. The value is small, making the ratio Approaching 0, and then Approaching 1. The closer the value is to 1, the narrower the space at that location, the more severe the obstruction of gas flow, and the more likely it is to be blocked during the coating process. As a result, it is more difficult for particles to reach that point and thus more difficult to process.

[0051] S4: The electric field influence degree and spatial narrowness are weighted and fused to obtain a comprehensive processing difficulty index that represents the processing difficulty of each point.

[0052] The physical factors calculated in the first two steps are combined to generate a comprehensive processing difficulty index. The logic behind this index is to weight and superimpose the two main factors leading to insufficient deep trench activation: electromagnetic shielding and particle transport obstruction. The calculation formula is as follows:

[0053] In the formula, Point The overall processing difficulty; Point The degree of influence of the electric field; Point The narrowness of the space; The first weighting coefficient; This represents the second weighting coefficient, which satisfies... The weights were selected and adjusted based on the experience of those in the field; specifically, in low-pressure environments (such as... In this environment, the mean free path of ions is relatively long, and the electric field guidance effect is dominant, making it the preferred environment. ; in high pressure (such as In this environment, particle collisions are frequent and fluid diffusion is dominant, making it the preferred choice. .

[0054] S5: Divide the workpiece into multiple partitions along the circumference during the coating process. Determine the regional difficulty of each partition based on the comprehensive processing difficulty of each point within the partition. Determine the adaptive bias voltage of each partition based on the regional difficulty. The magnitude of the adaptive bias voltage is inversely proportional to the magnitude of the regional difficulty of the corresponding partition.

[0055] During workpiece processing, the workpiece can rotate, allowing different positions on the workpiece to face the target and receive ions. To achieve zoned control, the workpiece surface is divided into polar coordinate parametric meshes. Centered on the workpiece's rotation axis, the workpiece surface is divided into... In this embodiment, the workpiece surface is divided into 36 circumferential sectors. The average of the overall processing difficulty of all surface points within each sector is taken as the regional difficulty of that sector.

[0056] During the coating process, the ionization switch is turned on to allow an independently controllable voltage, called a bias voltage, to be applied to the workpiece. This voltage is typically a negative voltage (DC or RF). Its main function is to use charged particles (primarily positive ions) in the plasma to bombard the substrate surface, thereby exerting a series of key effects on the growing thin film.

[0057] During plasma coating, a dark area called a plasma sheath forms on the workpiece surface. The higher the bias voltage, the thicker the sheath. For small holes or narrow grooves, if the sheath thickness exceeds half the hole diameter, the sheath will seal the hole opening. Ions will be blocked by the electric field of the sheath and can only bombard the hole opening, unable to enter the hole. A low bias voltage helps to thin the sheath, and combined with a slightly higher gas pressure, it allows ions to enter the deep hole more easily, improving the coating rate in dead corners.

[0058] Specifically, for any partition, the formula for calculating its adaptive bias voltage can be expressed as:

[0059] In the formula, Indicates partition Adaptive bias; This indicates the preset reference bias voltage, which can be the bias voltage used when coating planar materials in this field; Indicates partition The regional difficulty; This represents the adjustment coefficient, primarily used to adjust the sensitivity of the region's difficulty to the influence of the bias voltage, thereby improving the system's flexibility. In this embodiment... Set it to 0.2.

[0060] Bias voltage is inversely proportional to difficulty; the difficulty of a region reflects the complexity of the workpiece surface in that region. For regions with complex surface structures, the bias voltage should be reduced. For locations with lower overall processing difficulty, a uniform electric field, and a wide, gentle area, a higher bias voltage can be used to increase the coating hardness.

[0061] In other embodiments, in addition to adjusting the magnitude of the bias voltage, the duty cycle of the bias power supply can also be adjusted. During the adjustment process, the maximum and minimum duty cycles are first set. The maximum and minimum duty cycles are set based on the experience of those skilled in the art. For regions with a difficulty close to 0, the duty cycle is close to the maximum duty cycle; for regions with a difficulty close to 1, the duty cycle is close to the minimum duty cycle.

[0062] S6: Apply a coating to each partition using the adaptive bias voltage corresponding to each partition.

[0063] In the ion plating process, the target material is placed on the inner wall of the plating equipment, and the workpiece is installed on the planetary carrier of the plating equipment. The workpiece can be rotated by the planetary carrier. According to the partition facing the target material, the bias voltage is adjusted by the controller, thereby realizing adaptive plating for different partitions and improving the plating effect.

[0064] To further optimize the coating effect, real-time monitoring and fine-tuning of the bias voltage can be performed during the coating process. Specifically, the particle bombardment intensity of each zone on the surface of the automotive trim is monitored in real time, and the adaptive bias voltage is dynamically adjusted based on the deviation between the particle bombardment intensity and the preset target intensity of the corresponding area.

[0065] In each control cycle Inside, the plasma bombardment current on the workpiece surface is collected in real time by a current sensor or the current detection port of the workpiece bias power supply arranged in the chamber, and converted into real-time particle bombardment intensity by a pre-calibrated mapping function. The step of obtaining the ion bombardment intensity by the current generated by ion bombardment of the surface is a conventional technical means in this field and will not be described in detail here.

[0066] The formula for calculating the bias voltage at the next moment can be expressed as:

[0067] In the formula, Indicates the bias voltage at the next moment or the next control cycle; This is the closed-loop adjustable gain coefficient; Indicates partition Preset reference ion strength; Indicates the current time Real-time ion bombardment intensity; Indicates partition The corresponding adaptive bias.

[0068] This formula indicates that the system uses the adaptive bias calculated by the physical model as a feedforward basis and fine-tunes based on the deviation between the real-time ion bombardment intensity and the preset reference ion intensity. When the actual bombardment intensity is detected to be lower than the target value, the controller will appropriately increase the bias within a preset safety range. Here, the safety range refers to the range within which adjusting the bias will not cause the sheath layer to block the trench. It should be noted that this is mainly to find the achievable optimal bombardment intensity while ensuring that coating can be carried out inside the deep trench, thereby optimizing the uniformity of the coating quality across the entire workpiece surface.

[0069] The formula for calculating reference ionic strength can be expressed as: In the formula, Indicates partition Preset reference ion strength; To establish a baseline target intensity for flat areas, the average value can be extracted from the coating qualification process data of a large number of successfully produced flat or simple workpieces in the past, and the particle bombardment intensity data recorded at that time can be extracted. This is the difficulty attenuation coefficient, and its value range is... ; Indicates partition The difficulty of the region; the deep trench region has objective physical limitations, and the particle flow intensity that can be achieved is necessarily lower than that of the flat region. Therefore, the intensity of the benchmark target is attenuated based on the regional difficulty to obtain the reference ion intensity.

[0070] In another embodiment, it can also be calculated based on historical data, specifically: , In the formula, This represents the difficulty attenuation coefficient; This indicates that the difficulty level in the region is... The particle bombardment intensity collected from the surface of the workpiece during a qualified coating process; This indicates that the difficulty level in the region is... The particle bombardment intensity collected from the surface of the workpiece during a qualified coating process; The value representing the difficulty of the region; The value represents the region's difficulty level; This indicates all values ​​within the range of regional difficulty. The combination of .

[0071] This application also discloses an intelligent control system for plasma modification treatment of automotive trim parts, including a processor and a memory. The memory stores computer program instructions, and when the computer program instructions are executed by the processor, an intelligent control method for plasma modification treatment of automotive trim parts according to this application is implemented.

[0072] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

[0073] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A smart control method for plasma modification treatment of automotive trim parts, characterized in that, include: Obtain a three-dimensional geometric model of the automotive trim and establish a simulation environment for the automotive trim within the plasma processing equipment chamber; Based on the simulation environment, the electric field influence degree of each point on the surface of the automotive trim is determined, including: obtaining the ratio of the actual electric field strength to the initial electric field strength at each point on the surface of the automotive trim, and taking the difference between 1 and the ratio as the electric field influence degree; the electric field influence degree characterizes the degree of difference between the actual electric field strength of the surface of the automotive trim when there is an automotive trim in the cavity and the initial electric field strength when there is no workpiece. The average passage length in multiple preset directions at each point on the surface of the automotive trim is obtained, and the spatial narrowness at each point is determined based on the average passage length. The influence of the electric field and the spatial narrowness are weighted and fused to obtain a comprehensive processing difficulty index that represents the ease or difficulty of processing at each point; The workpiece is divided into multiple partitions along the circumference during the coating process. The regional difficulty of each partition is determined based on the comprehensive processing difficulty of each point within the partition. The adaptive bias voltage of each partition is determined based on the regional difficulty. The magnitude of the adaptive bias voltage is inversely proportional to the regional difficulty of the corresponding partition. Each partition is coated using an adaptive bias voltage corresponding to that partition.

2. The intelligent control method for plasma modification treatment of automotive trim parts according to claim 1, characterized in that, In the step of obtaining the average passage length of each point on the surface of the car trim in multiple preset directions, for any point on the surface of the car trim, a straight line is probed along multiple preset directions until an entity is encountered or the maximum search distance is reached, and the average passage length is obtained by averaging the probe lengths in each direction.

3. The intelligent control method for plasma modification treatment of automotive trim parts according to claim 1, characterized in that, Also includes: During the plasma coating process, the particle bombardment intensity of each zone on the surface of the automotive trim is monitored in real time, and the adaptive bias is dynamically adjusted according to the deviation between the particle bombardment intensity and the preset target intensity of the corresponding area.

4. The intelligent control method for plasma modification treatment of automotive trim parts according to claim 3, characterized in that, The method for setting the preset target intensity includes: attenuating the baseline target intensity according to the regional difficulty corresponding to each partition.

5. The intelligent control method for plasma modification treatment of automotive trim parts according to claim 1, characterized in that, In the weighted fusion of the electric field influence degree and the spatial narrowness, the sum of the weight coefficients of the two is 1.

6. The intelligent control method for plasma modification treatment of automotive trim parts according to claim 2, characterized in that, The preset directions include at least three mutually perpendicular directions.

7. The intelligent control method for plasma modification treatment of automotive trim parts according to claim 3, characterized in that, The steps for real-time monitoring of particle bombardment intensity in each zone of the automotive trim surface include: collecting the current generated by bombarding the workpiece surface; and mapping the processed current value to the actual particle bombardment intensity based on a pre-calibrated functional relationship.

8. The intelligent control method for plasma modification treatment of automotive trim parts according to claim 1, characterized in that, The steps for determining the spatial narrowness of each point based on the average passage length include: calculating the ratio of the average passage length to a preset reference length, and subtracting the difference from 1 to obtain the spatial narrowness.

9. An intelligent control system for plasma modification treatment of automotive trim parts, characterized in that, include: A processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement an intelligent control method for plasma modification treatment of automotive trim parts according to any one of claims 1-8.

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