A variable frequency microwave-based vehicle body paint drying method and system

Abstract

The application discloses a kind of based on frequency conversion microwave's vehicle body paint drying method and system, method includes: according to the chemical composition of vehicle body paint and thickness distribution, through real-time monitoring the dielectric constant change dynamic adjustment microwave frequency of paint surface, to make that microwave energy forms uniform standing wave distribution in paint layer, avoid local overheating or uneven drying;Using multi-band microwave synergistic heating technology, according to the different thickness of paint layer, respectively emit high-frequency microwave and low-frequency microwave;Through infrared thermal imaging technology, real-time monitoring vehicle body surface temperature distribution, combined with the critical temperature curve range of paint drying, dynamically adjust microwave power output, so that temperature always remains in optimal drying interval, avoid temperature too high and lead to paint crack or too low and lead to drying insufficient.Utilize the embodiment of the application, can be through adjusting microwave frequency and power, realize the accurate control to paint drying process, improve drying efficiency and quality.

Description

Technical Field

[0001] The present invention belongs to the technical field of drying, and in particular to a method and system for drying vehicle body paint based on variable frequency microwaves. Background Art

[0002] In the modern automotive manufacturing industry, the drying process of body paint is crucial, as it directly affects the appearance quality and durability of the car. Traditional paint drying technologies generally use methods such as hot air convection and infrared radiation. Although they can achieve paint drying to a certain extent, they still have some significant shortcomings, which limit their widespread application. Traditional hot air drying methods rely on convection heating, which has problems such as slow drying speed, high energy consumption, and uneven drying. On body parts with thick paint coatings or complex shapes, heat transfer is often uneven, resulting in different drying rates on the paint surface and interior, which may cause quality problems such as paint cracking and peeling, thereby affecting the appearance and service life of the car. Summary of the Invention

[0003] The purpose of the present invention is to provide a method and system for drying car body paint based on variable frequency microwaves to address the deficiencies in the prior art. By adjusting the microwave frequency and power, the paint drying process can be precisely controlled to improve drying efficiency and quality.

[0004] One embodiment of the present application provides a method for drying vehicle body paint based on variable frequency microwaves, the method comprising:

[0005] Based on the chemical composition and thickness distribution of the car body paint, the microwave frequency is dynamically adjusted by real-time monitoring of the dielectric constant changes on the paint surface, so that the microwave energy forms a uniform standing wave distribution within the paint layer, avoiding local overheating or uneven drying;

[0006] Utilizing multi-band microwave collaborative heating technology, high-frequency microwaves and low-frequency microwaves are emitted according to the thickness of the paint layer. High-frequency microwaves are used for rapid surface drying, while low-frequency microwaves are used for deep penetration heating, ensuring that the paint is dried synchronously from the inside out.

[0007] The temperature distribution on the vehicle body surface is monitored in real time through infrared thermal imaging technology. Combined with the critical temperature curve range of paint drying, the microwave power output is dynamically adjusted to keep the temperature in the optimal drying range at all times, avoiding paint cracking caused by excessively high temperatures or insufficient drying caused by excessively low temperatures.

[0008] Optionally, dynamically adjusting the microwave frequency by real-time monitoring the dielectric constant change of the paint surface according to the chemical composition and thickness distribution of the vehicle body paint so that the microwave energy forms a uniform standing wave distribution in the paint layer includes:

[0009] Obtain chemical composition, temperature distribution and thickness distribution data of car body paint;

[0010] Monitor the dielectric constant changes of the paint in real time, input the real-time acquired dielectric constant data into a trained neural network model for predicting microwave frequency, and output the corresponding optimal microwave frequency value to ensure that the microwave energy forms a uniform standing wave distribution in the paint layer;

[0011] Alternatively, a fuzzy control algorithm is used, and the dielectric constant change, temperature distribution, and thickness data are input as input variables to a fuzzy controller, so that the fuzzy controller calculates the microwave frequency adjustment amount according to a preset fuzzy rule base defining the dielectric constant change and microwave frequency adjustment, and calculates the corresponding optimal microwave frequency value according to the microwave frequency adjustment amount and the current microwave frequency value;

[0012] Dynamically adjust the microwave frequency to the optimal microwave frequency value.

[0013] Optionally, the multi-band microwave synergistic heating technology is used to emit high-frequency microwaves and low-frequency microwaves according to the different thicknesses of the paint layer, wherein the high-frequency microwaves are used for rapid surface drying and the low-frequency microwaves are used for deep penetration heating to ensure that the paint is dried synchronously from the inside out, including:

[0014] The paint layer is divided into surface layer, middle layer and deep layer, where the surface layer thickness range is 0-50μm, the middle layer thickness range is 50-150μm, and the deep layer thickness range is >150μm;

[0015] Start the high-frequency microwave transmitter to quickly heat the paint surface. Use a highly directional antenna to ensure that the high-frequency microwave energy is concentrated on the paint surface. The high-frequency microwave power is 500W-1000W and the frequency is 2.45 GHz.

[0016] At the same time, the low-frequency microwave transmitter is started to penetrate and heat the deep layer of the paint. A wide-beam antenna is used to ensure that the low-frequency microwave energy can penetrate into the deep layer of the paint. The low-frequency microwave power is 1000W-2000W and the frequency is 915 MHz. In addition, it is ensured that the surface layer and the deep layer are dried synchronously to avoid overheating of the surface layer or insufficient drying of the deep layer.

[0017] Optionally, the method of monitoring the temperature distribution of the vehicle body surface in real time by infrared thermal imaging technology and dynamically adjusting the microwave power output in combination with the critical temperature curve range of paint drying includes:

[0018] Use infrared thermal imaging cameras to monitor the paint temperature of the vehicle body in real time to ensure that the temperature remains within the optimal drying temperature range of 60-80°C, which is the critical temperature curve range for paint drying.

[0019] The microwave power is adjusted by the PID control algorithm. When the temperature is lower than the critical temperature range, the microwave power output is increased, and when the temperature is higher than the critical temperature range, the microwave power output is reduced.

[0020] Another embodiment of the present application provides a vehicle body paint drying system based on variable frequency microwaves, the system comprising:

[0021] The adjustment module is used to dynamically adjust the microwave frequency based on the chemical composition and thickness distribution of the car body paint by real-time monitoring the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying;

[0022] The transmitting module is used to utilize multi-band microwave collaborative heating technology to transmit high-frequency microwaves and low-frequency microwaves according to the thickness of the paint layer. The high-frequency microwaves are used for rapid surface drying, while the low-frequency microwaves are used for deep penetration heating to ensure that the paint is dried synchronously from the inside out.

[0023] The drying module is used to monitor the surface temperature distribution of the vehicle body in real time through infrared thermal imaging technology. Combined with the critical temperature curve range of paint drying, it dynamically adjusts the microwave power output to keep the temperature in the optimal drying range at all times, avoiding paint cracking due to excessively high temperatures or insufficient drying due to excessively low temperatures.

[0024] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when run.

[0025] Yet another embodiment of the present application provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the above methods.

[0026] Compared with the existing technology, the present invention provides a method for drying car body paint based on variable frequency microwaves. According to the chemical composition and thickness distribution of the car body paint, the microwave frequency is dynamically adjusted by real-time monitoring of the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying; using multi-band microwave collaborative heating technology, high-frequency microwaves and low-frequency microwaves are emitted respectively according to the different thicknesses of the paint layer; through infrared thermal imaging technology, the temperature distribution of the car body surface is monitored in real time, and the microwave power output is dynamically adjusted in combination with the critical temperature curve range of paint drying, so that the temperature is always maintained in the optimal drying range, avoiding paint cracking due to excessively high temperature or insufficient drying due to excessively low temperature, thereby achieving precise control of the paint drying process by adjusting the microwave frequency and power, thereby improving drying efficiency and quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A hardware structure block diagram of a computer terminal for a vehicle body paint drying method based on variable frequency microwaves provided in an embodiment of the present invention;

[0028] Figure 2 A schematic flow chart of a method for drying vehicle body paint based on variable frequency microwaves provided in an embodiment of the present invention;

[0029] Figure 3 A schematic structural diagram of a vehicle body paint drying system based on variable frequency microwaves provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limiting the present invention.

[0031] The embodiment of the present invention first provides a method for drying vehicle body paint based on variable frequency microwaves. The method can be applied to electronic devices such as computer terminals, specifically ordinary computers.

[0032] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal for a vehicle body paint drying method based on variable frequency microwaves provided by an embodiment of the present invention. Figure 1 As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0033] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, which, when executed, can cause the processor to execute any one of the variable frequency microwave-based vehicle body paint drying methods.

[0034] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0035] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any one of the vehicle body paint drying methods based on variable frequency microwaves.

[0036] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0037] It should be understood that the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0038] See also Figure 2 The embodiment of the present invention provides a method for drying vehicle body paint based on variable frequency microwaves, which may include the following steps:

[0039] S201, based on the chemical composition and thickness distribution of the car body paint, dynamically adjusts the microwave frequency by real-time monitoring the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying;

[0040] This method intelligently and dynamically adjusts the microwave frequency by monitoring the changes in the dielectric constant of the vehicle body paint surface in real time, ensuring that the microwave energy forms a uniform standing wave distribution within the paint layer. This process relies on a deep understanding of the paint's chemical composition and thickness distribution, enabling precise control of the paint drying process. The dielectric constant is a characteristic of a material's response to electromagnetic fields, and its changes are directly related to the paint's moisture content and chemical composition. Therefore, by monitoring the dielectric constant in real time, information on the paint's drying state can be obtained, allowing precise adjustment of the microwave frequency to avoid localized overheating or uneven drying during the drying process.

[0041] This method incorporates a dynamic frequency adjustment mechanism during the paint drying process, significantly improving drying uniformity and efficiency. By precisely controlling the microwave frequency, paint layers of varying thickness and composition can be dried under optimal conditions, thus avoiding quality issues caused by uneven drying, such as cracking and flaking. Overall, this innovative method not only improves the aesthetics and durability of automotive surface coatings but also promotes environmental and energy conservation advancements within the automotive manufacturing industry.

[0042] Specifically, the chemical composition, temperature distribution, and thickness distribution data of the car body paint can be obtained;

[0043] This step first requires analyzing the composition of the car body paint to obtain information on its primary chemical components, such as resins, solvents, pigments, and additives. Furthermore, tools such as a thickness gauge are used to obtain temperature and thickness distribution data for the paint layer. This data provides a scientific basis for subsequent dynamic microwave frequency adjustment. Obtaining comprehensive information on paint composition and thickness lays a solid foundation for frequency adjustment during the microwave drying process, ensuring that the drying process is aligned with the characteristics of the paint material, thereby improving drying efficiency and quality.

[0044] This step begins with a comprehensive chemical analysis of the paint used. This is typically performed using advanced analytical techniques such as gas chromatography (GC) or liquid chromatography (HPLC). These techniques can precisely distinguish between various components within the paint, such as resins, solvents, pigments, and fillers. For example, gas chromatography produces a mass spectrum of the paint's various components, from which the concentrations of each component can be determined, ensuring a comprehensive understanding of the paint's properties.

[0045] Next, use a thickness gauge or other instrument to obtain paint layer thickness distribution data. Ultrasonic thickness gauges can be used to measure the paint layer's real-time thickness at different locations, leveraging the principle of ultrasonic reflection. Paint thickness can vary significantly across the vehicle body, particularly around corners and on surfaces with complex geometries. Therefore, multiple measurement points are required to ensure comprehensive and accurate data.

[0046] Finally, temperature distribution can be measured using an infrared thermal imager, which records temperature changes on the vehicle body surface in real time without contact. The temperature distribution maps provided by the infrared thermal imager clearly show the temperature rise at different locations on the paint, which is crucial for analyzing paint drying performance. By integrating multidimensional data on chemical composition, thickness, and temperature, a solid foundation can be laid for subsequent microwave frequency adjustments.

[0047] Monitor the dielectric constant changes of the paint in real time, input the real-time acquired dielectric constant data into a trained neural network model for predicting microwave frequency, and output the corresponding optimal microwave frequency value to ensure that the microwave energy forms a uniform standing wave distribution in the paint layer;

[0048] During this step, high-frequency measuring instruments monitor the dielectric constant changes of the paint surface in real time. This data is fed into a pre-trained neural network model. Based on this input, the model outputs the optimal microwave frequency to ensure a uniform standing wave distribution of microwave energy within the paint layer. Real-time monitoring and intelligent prediction significantly improve the adaptability and flexibility of the drying process, ensuring timely and accurate microwave frequency adjustments, and effectively preventing potential localized overheating during the drying process.

[0049] This step first requires installing a high-frequency dielectric constant measuring instrument to monitor the dielectric constant of the paint surface in real time. These instruments typically utilize microwave reflection or transmission methods, rapidly measuring the dielectric constant of the material at different frequencies and performing real-time analysis. The dielectric constant changes with each change in the paint's drying state. Therefore, frequent, real-time monitoring provides accurate feedback.

[0050] Next, the real-time dielectric constant data is fed into a trained neural network model. This model is trained on historical data to learn how different chemical compositions and thicknesses affect dielectric constant. For example, the model can identify the optimal drying state for a particular type of paint at a specific frequency. Using regression analysis or classification algorithms, the neural network outputs the optimal microwave frequency to ensure even energy distribution within the paint layer.

[0051] Finally, the system automatically adjusts the microwave source's output frequency based on the frequency value calculated by the neural network. This process occurs in real time, using feedback control to ensure the paint drying process remains optimal. For example, if the paint layer is thick and has low volatility, the system will increase the frequency to allow for better penetration of the microwave energy. Conversely, if the paint layer is too thick, the system will decrease the frequency to avoid localized overheating. This dynamic adjustment mechanism significantly improves drying uniformity and efficiency.

[0052] Alternatively, a fuzzy control algorithm is used, and the dielectric constant change, temperature distribution, and thickness data are input as input variables to a fuzzy controller, so that the fuzzy controller calculates the microwave frequency adjustment amount according to a preset fuzzy rule base defining the dielectric constant change and microwave frequency adjustment, and calculates the corresponding optimal microwave frequency value according to the microwave frequency adjustment amount and the current microwave frequency value;

[0053] In this step, a fuzzy control algorithm evaluates the paint's dielectric constant, temperature distribution, and thickness data, and transmits this data as input variables to the fuzzy controller. Based on a pre-defined fuzzy rule base, the fuzzy controller calculates the appropriate microwave frequency adjustment to further determine the optimal microwave frequency. The fuzzy control algorithm can handle uncertainty and ambiguity, enabling the drying system to adapt to changes under varying conditions. It provides a flexible frequency adaptation mechanism and significantly enhances the system's intelligence.

[0054] In this step, we first need to define fuzzy variables applicable to the paint drying process, including the change in dielectric constant, temperature distribution, and paint layer thickness. Changes in these variables directly affect the microwave drying process. The fuzzy controller converts these variables into fuzzy language (such as "high," "medium," and "low"), providing the foundation for subsequent control strategies.

[0055] Next, the fuzzy controller correlates the received input variables with a pre-set fuzzy rule base. This process might include empirical rules, such as "Increase microwave frequency when dielectric constant changes significantly and temperature rises." The fuzzy inference mechanism then infers the input based on these rules and determines the frequency adjustment.

[0056] Finally, the control system dynamically adjusts the microwave frequency based on the fuzzy controller's calculations. Using defuzzification methods, such as the center of gravity method, the fuzzy output is converted into a precise microwave frequency value, ensuring it meets actual operational requirements. This approach is particularly suitable for complex drying environments. Through its flexible fuzzy control strategy, it can adapt to changing paint layer characteristics in real time, significantly improving drying efficiency and product quality.

[0057] Dynamically adjust the microwave frequency to the optimal microwave frequency value.

[0058] In this step, based on the calculations from the previous step, the system intelligently and dynamically adjusts the microwave frequency to ensure optimal and uniform drying. Through real-time monitoring and feedback adjustments, the paint layer's drying state remains within a controllable range. Dynamic adjustment of the microwave frequency provides greater real-time adaptability throughout the drying process, improving paint drying uniformity and reducing drying issues caused by environmental variations or material differences, thereby enhancing product quality.

[0059] During this process, the control system dynamically adjusts the frequency of the microwave transmitter in real time based on the information processed. This process relies on a rapid feedback mechanism, enabling the system to respond promptly to changes in the external environment. For example, if the external temperature or humidity fluctuates significantly, the microwave frequency can be quickly adjusted to adapt to the new drying conditions, preventing uneven drying of the paint.

[0060] Furthermore, while adjusting the microwave frequency, the system also requires a temperature monitoring device to monitor real-time temperature changes on the paint surface. By combining this temperature information with the frequency adjustment results, the paint can be maintained within the optimal temperature range during the drying process. For example, an ideal temperature range (e.g., 60-80°C) can be set. When the temperature falls below the lower limit, the system increases the microwave power; when the temperature rises above the upper limit, the power is reduced to avoid quality issues caused by inadequate drying or overheating.

[0061] Finally, the entire process should also incorporate self-optimization and learning mechanisms. By continuously tracking the results of each drying process, the system can utilize machine learning algorithms to continuously update and improve the microwave frequency adjustment strategy. This self-optimization capability will make the system more efficient and intelligent over the long term, significantly improving the overall quality and stability of paint drying.

[0062] S202 uses multi-band microwave synergistic heating technology to emit high-frequency microwaves and low-frequency microwaves according to the thickness of the paint layer. High-frequency microwaves are used for rapid surface drying, while low-frequency microwaves are used for deep penetration heating to ensure that the paint is dried synchronously from the inside out.

[0063] This method utilizes multi-band microwave synergistic heating technology, emitting high-frequency and low-frequency microwaves separately for the varying thicknesses of the paint layer on the vehicle body to achieve efficient drying. High-frequency microwaves are used for rapid surface drying because their concentrated energy and frequency are suitable for enhancing the volatilization of surface solvents. Low-frequency microwaves are used for deep, penetrating heating, effectively penetrating the paint surface, raising the internal temperature, and accelerating the volatilization and drying process of the inner layer. By simultaneously utilizing these two microwave frequencies, the paint drying process proceeds synchronously from the inside out, avoiding cracking caused by overheating of the surface layer and insufficient drying in the deeper layers. This layered heating strategy not only improves drying efficiency but also ensures the integrity and quality of the coating.

[0064] The effectiveness of this method lies in its ability to precisely dry the paint layer to the specific requirements of the vehicle body painting process. By applying microwaves of varying frequencies to paint layers of varying thickness, drying efficiency is improved while effectively preventing defects caused by localized overheating or uneven moisture during the drying process. This technology ensures uniform drying of the paint coating on the vehicle body, thereby improving the appearance and durability of the final product, reducing the risk of subsequent repairs, and providing automotive manufacturers with an efficient and reliable painting process.

[0065] Specifically, the paint layer can be divided into a surface layer, a middle layer and a deep layer, wherein the thickness of the surface layer is in the range of 0-50 μm, the thickness of the middle layer is in the range of 50-150 μm, and the thickness of the deep layer is in the range of >150 μm;

[0066] The paint layer is divided into surface, middle, and deep layers to achieve a multi-band microwave synergistic heating strategy. This process first requires defining the paint's thickness range. The surface layer ranges from 0-50μm, the middle layer from 50-150μm, and the deep layer exceeds 150μm. This layered approach allows for the optimal arrangement of microwave emission at different frequency bands based on the different heating methods required during the paint drying process. The significance of layering the paint layer lies in achieving targeted heating, improving drying efficiency, and minimizing defects during the drying process. By clearly defining the thickness of each layer, microwave radiation can be better controlled, ensuring that each layer dries synchronously during the drying process. This approach not only improves production efficiency but also enhances the overall quality and uniformity of the paint layer.

[0067] First, precise thickness measurement is required to ensure accurate classification of the paint layer. A specialized coating thickness gauge, utilizing ultrasonic or electromagnetic principles, can be used to obtain paint thickness data at various locations on the vehicle body. For example, for a specific model of vehicle, measurements can be taken in four key areas: the roof, doors, front bumper, and trunk. This data collection provides a clearer understanding of the coating condition in each area, providing a theoretical basis for subsequent microwave heating strategies.

[0068] Next, the collected thickness data is statistically analyzed to create a thickness distribution map. Graphical representations, such as heat maps or bar charts, make it easier to identify the distribution of surface, intermediate, and deep layers. This visual presentation not only helps operators intuitively understand the thickness of different paint layers but also facilitates subsequent adjustments to microwave transmission frequency and power. To ensure the accuracy of all data, regular calibration and verification are necessary to prevent improper classification due to instrument errors.

[0069] Finally, based on this thickness information, the system divides the paint layer into surface layers (0-50μm), middle layers (50-150μm), and deep layers (>150μm), and records this information in the control system. The control system then optimally allocates high- and low-frequency microwaves based on the varying layer thicknesses. For example, in areas with thinner surface paint, the system prioritizes high-frequency microwaves for heating, while increasing the penetration of low-frequency microwaves in thicker areas to ensure efficient and uniform drying.

[0070] Start the high-frequency microwave transmitter to quickly heat the paint surface. Use a highly directional antenna to ensure that the high-frequency microwave energy is concentrated on the paint surface. The high-frequency microwave power is 500W-1000W and the frequency is 2.45 GHz.

[0071] The purpose of activating a high-frequency microwave transmitter is to rapidly heat the paint surface. High-frequency microwaves have strong directionality and penetrating power, concentrating their energy on the paint's surface, ensuring rapid evaporation of surface solvents and achieving a drying effect. For optimal results, a highly directional antenna is typically used to concentrate microwave energy, avoiding energy waste and dispersion. Activating a high-frequency microwave transmitter for surface heating significantly reduces paint drying time and improves production efficiency. Rapid surface drying protects against external environmental influences and reduces moisture intrusion, while creating optimal conditions for deep penetration drying of the underlying paint layer. This not only ensures a high gloss finish but also ensures smooth subsequent processing.

[0072] This step begins by selecting a suitable high-frequency microwave transmitter and setting its power between 500W and 1000W at a frequency of 2.45 GHz. This frequency, widely used in industrial applications, effectively excites moisture molecules on the paint surface, enabling rapid drying. When setting up the transmitter, the operator must confirm the position of its directional antenna to ensure that the microwave energy is precisely focused on the target coating surface.

[0073] Once the transmitter is activated, microwaves focused by the highly directional antenna rapidly heat the paint surface. To ensure efficient heating, operators need to monitor the temperature changes of the paint surface in real time during the heating process, typically using an infrared thermometer or thermal imager. For example, if the initial temperature of the paint surface is 20°C and the heating target is set to 70°C, the monitoring system will adjust the duration and power output of the microwave emission based on the real-time temperature to ensure that the paint quickly reaches the target temperature without cracking.

[0074] To ensure uniform heating of the surface, operators adjust the angle of the transmitting antenna based on real-time feedback, even repositioning the transmitter when necessary. This flexible adjustment ensures uniform microwave radiation across the paint surface, preventing defects caused by localized overheating. For example, when treating a large area of ​​a car body, it may be necessary to activate the transmitter to cover the entire paint surface. This precise control not only improves drying speed but also ensures the final quality of the paint.

[0075] At the same time, the low-frequency microwave transmitter is started to penetrate and heat the deep layer of the paint. A wide-beam antenna is used to ensure that the low-frequency microwave energy can penetrate into the deep layer of the paint. The low-frequency microwave power is 1000W-2000W and the frequency is 915 MHz. In addition, it is ensured that the surface layer and the deep layer are dried synchronously to avoid overheating of the surface layer or insufficient drying of the deep layer.

[0076] Simultaneously activating the low-frequency microwave transmitters is essential for penetrating and heating the paint deeper into the body. Low-frequency microwaves possess excellent penetrating properties and can effectively penetrate deep into the paint layer, promoting volatilization and drying of the underlying substances. The use of a wide-beam antenna ensures that the low-frequency microwaves reach deep into the paint layer, achieving simultaneous drying of the entire paint layer. This process ensures that the deep layers of the paint are also thoroughly dried, avoiding defects caused by insufficient drying of the inner layers. This simultaneous drying process effectively improves the adhesion and durability of the paint on the vehicle body, reduces quality issues such as cracking or blistering caused by insufficient localized drying, and ensures high quality standards for the final product.

[0077] Activating the low-frequency microwave transmitter for deep-penetrating heating is crucial in this step. The operating frequency of the low-frequency microwave is set at 915 MHz, with a power range of 1000W to 2000W. Low-frequency microwaves have excellent penetration, reaching deep into the paint layer, promoting the evaporation of solvents, and ensuring simultaneous drying of the entire paint layer from the inside out. To achieve this, selecting an appropriate wide-beam antenna is crucial, ensuring that the low-frequency microwaves cover a wider area during transmission.

[0078] After the operator activates the low-frequency microwave transmitter, the monitoring system must track the paint layer's temperature in real time, ensuring a uniform temperature rise deep within the paint layer. By placing multiple temperature sensors at different depths within the vehicle body, detailed feedback on deep-layer temperatures can be obtained. For example, if the temperature in the paint's deep layers falls short of the set drying standard, the system will automatically increase the low-frequency microwave power output to accelerate drying.

[0079] To prevent surface overheating, the system comprehensively considers temperature fluctuations in both the surface and deeper layers. The control system dynamically adjusts the output power of both high- and low-frequency microwaves based on real-time surface and deeper temperature monitoring. For example, if the surface temperature approaches the overheating threshold, the system appropriately reduces the high-frequency microwave power to ensure gradual heat release in the deeper layers without causing uneven drying. This coordinated heating strategy maximizes drying efficiency while ensuring the overall quality and stability of the paint layer.

[0080] S203 uses infrared thermal imaging technology to monitor the temperature distribution on the vehicle body surface in real time. Combined with the critical temperature curve range of paint drying, it dynamically adjusts the microwave power output to keep the temperature in the optimal drying range at all times, avoiding paint cracking caused by excessively high temperatures or insufficient drying caused by excessively low temperatures.

[0081] Infrared thermal imaging technology monitors the temperature distribution of the vehicle body surface in real time. Based on the critical temperature curve for paint drying, microwave power output is dynamically adjusted to maintain the optimal drying temperature range, avoiding paint cracking caused by excessively high temperatures or inadequate drying caused by excessively low temperatures. This method utilizes infrared thermal imaging equipment for contactless temperature measurement of the paint surface, providing real-time temperature data during the drying process. Furthermore, the control system compares this temperature information with a preset critical temperature curve. If the temperature is within the ideal range, the current microwave power output is maintained. If the temperature deviates from this range, the system automatically adjusts the power output to ensure uniformity and stability during the drying process, thereby avoiding paint quality issues caused by excessively high or low temperatures. This technology significantly improves the intelligence and efficiency of vehicle body paint drying. By dynamically adjusting microwave power, it can better adapt to drying requirements under varying conditions. This ensures that the paint remains within the optimal temperature range during the drying process, effectively preventing quality issues such as paint cracking and peeling caused by improper temperature control. This improves the aesthetics and durability of the finished product, thereby enhancing its competitiveness within the industry.

[0082] Specifically, the paint temperature of the vehicle body can be monitored in real time using an infrared thermal imager to ensure that the temperature remains within the optimal drying temperature range of 60-80°C, which serves as the critical temperature curve range for paint drying.

[0083] This step uses infrared thermal imaging equipment to monitor the temperature of the paint surface of the car body, and provides real-time feedback on changes in surface temperature during the paint drying process. Infrared thermal imaging technology determines the temperature by detecting the radiant heat from the surface, thereby ensuring the efficiency and accuracy of temperature measurement. The optimal drying temperature range set by the system is 60-80°C. This temperature range has been proven to be the area with the best paint drying effect through experiments. Therefore, dynamic monitoring to ensure that the paint is within this range will effectively improve the drying effect. The implementation of this monitoring step is crucial to ensuring the drying quality of the paint, and it can detect abnormal temperature changes in a timely manner so that the drying parameters can be adjusted in a timely manner. By maintaining the temperature of the paint surface in the ideal range, it helps to improve the adhesion, wear resistance and gloss of the car body coating, reduce the coating defect rate, and significantly improve the overall quality and market competitiveness of the product.

[0084] The first step in implementing temperature monitoring is to select a high-performance infrared thermal imager capable of accurately and quickly monitoring surface temperatures during the paint drying process. Such an instrument typically features high thermal sensitivity (e.g., ≤0.05°C) and good resolution (e.g., 640x480 pixels), enabling a clear display of the temperature distribution on the paint surface. For example, certain infrared thermal imagers can display the temperature of different locations in real time, helping technicians quickly determine whether a specific area is within the ideal drying temperature range. Choosing the right device is a prerequisite for efficient monitoring, ensuring accurate measurements even under extreme temperature fluctuations.

[0085] Next, the infrared thermal imaging camera is integrated with the central control system to ensure efficient real-time data transmission and processing. By setting the data upload frequency (e.g., once per second), the system can dynamically monitor temperature changes on the paint surface. When the temperature rises or falls outside of a preset critical range, the system alerts operators with an audible or visual alarm, prompting timely intervention. This real-time monitoring capability significantly enhances the automation level of the drying process, allowing operators to focus on other production steps without having to constantly monitor temperature fluctuations.

[0086] Finally, by analyzing historical temperature data, the system generates temperature trend reports. This allows operators to track the drying progress of various areas and promptly identify potential problems such as uneven drying or excessive temperatures. For example, analyzing temperature data from the past week revealed a rapid temperature rise in a specific area, potentially due to improper microwave transmitter adjustment or equipment malfunction. This data-driven analysis is crucial for optimizing future drying processes and ensuring consistently high paint quality.

[0087] The microwave power is adjusted by the PID control algorithm. When the temperature is lower than the critical temperature range, the microwave power output is increased, and when the temperature is higher than the critical temperature range, the microwave power output is reduced.

[0088] During this step, a PID control algorithm is used to precisely adjust microwave power to adapt to real-time temperature fluctuations. When the monitored temperature falls below the set critical temperature (60-80°C), the system increases microwave power output to accelerate paint drying. Conversely, when the temperature exceeds this range, the system reduces power to prevent overheating of the paint surface and ensure an unimpeded drying process. This control algorithm ensures dynamic adaptability and stability during the paint drying process through real-time feedback and adjustment. This power regulation not only ensures the safety and effectiveness of the paint drying process but also significantly improves drying uniformity, contributing to the improved surface quality of the final product. By continuously adjusting power, each paint layer achieves the appropriate temperature, effectively reducing the risk of defects caused by uneven drying, thereby improving production efficiency and economic benefits.

[0089] In this step, the PID control algorithm must first be properly parameterized to ensure its effectiveness in practical applications. The PID control algorithm consists of three components: proportional (P), integral (I), and differential (D). It dynamically adjusts microwave power based on the deviation between the actual temperature and the set target temperature. Technicians need to determine the optimal PID parameters through experimentation. For example, the proportional parameter can be set to 1.5, and the integral and differential parameters can be set to 0.1 and 0.01, respectively. During actual commissioning, these parameters can be gradually adjusted by simulating temperature changes during the drying process to achieve a rapid system response and ensure a stable temperature between 60-80°C.

[0090] Secondly, the system uses real-time temperature data to implement PID control. When the temperature falls below the set critical range, the control algorithm calculates the required increase in microwave power and automatically adjusts the microwave transmitter output. For example, if the current temperature is 58°C and the preset target is 70°C, the algorithm uses a formula to calculate the required power increase and increases the microwave output power to the appropriate level to accelerate the drying process. Conversely, when the temperature exceeds 80°C, the PID control algorithm promptly reduces the microwave power to prevent overheating and damage to the paint surface. This real-time adjustment ensures a safe and stable drying process.

[0091] Finally, to improve control system reliability, operators need to regularly evaluate and optimize PID control effectiveness. This can be done by recording and analyzing historical microwave power fluctuation data to observe the gap between actual temperature trends and set targets. For example, if monitoring over a period of time reveals a slow temperature response under certain conditions, this may indicate that PID parameters need further optimization. This allows operators to continuously optimize the system through data analysis, improving paint drying efficiency and ensuring highly consistent and reliable product quality.

[0092] It can be seen that according to the chemical composition and thickness distribution of the car body paint, the microwave frequency is dynamically adjusted by real-time monitoring of the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying; using multi-band microwave collaborative heating technology, high-frequency microwaves and low-frequency microwaves are emitted separately according to the different thicknesses of the paint layer; through infrared thermal imaging technology, the surface temperature distribution of the car body is monitored in real time, and the microwave power output is dynamically adjusted in combination with the critical temperature curve range of paint drying, so that the temperature is always maintained in the optimal drying range, avoiding paint cracking due to excessively high temperature or insufficient drying due to too low temperature, thereby achieving precise control of the paint drying process by adjusting the microwave frequency and power, improving drying efficiency and quality.

[0093] Another embodiment of the present invention provides a vehicle body paint drying system based on variable frequency microwaves, see Figure 3 , the system may include:

[0094] Adjustment module 301 is used to dynamically adjust the microwave frequency based on the chemical composition and thickness distribution of the paint on the vehicle body by real-time monitoring the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer to avoid local overheating or uneven drying;

[0095] The transmitting module 302 is used to utilize multi-band microwave synergistic heating technology to transmit high-frequency microwaves and low-frequency microwaves according to the thickness of the paint layer. The high-frequency microwaves are used for rapid surface drying, while the low-frequency microwaves are used for deep penetration heating to ensure that the paint is dried synchronously from the inside out.

[0096] The drying module 303 is used to monitor the temperature distribution of the vehicle body surface in real time through infrared thermal imaging technology. In combination with the critical temperature curve range of paint drying, it dynamically adjusts the microwave power output to keep the temperature in the optimal drying range at all times, avoiding paint cracking due to excessively high temperature or insufficient drying due to excessively low temperature.

[0097] It can be seen that according to the chemical composition and thickness distribution of the car body paint, the microwave frequency is dynamically adjusted by real-time monitoring of the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying; using multi-band microwave collaborative heating technology, high-frequency microwaves and low-frequency microwaves are emitted separately according to the different thicknesses of the paint layer; through infrared thermal imaging technology, the surface temperature distribution of the car body is monitored in real time, and the microwave power output is dynamically adjusted in combination with the critical temperature curve range of paint drying, so that the temperature is always maintained in the optimal drying range, avoiding paint cracking due to excessively high temperature or insufficient drying due to too low temperature, thereby achieving precise control of the paint drying process by adjusting the microwave frequency and power, improving drying efficiency and quality.

[0098] An embodiment of the present invention further provides a storage medium storing a computer program, wherein the computer program is configured to execute the steps of any one of the above method embodiments when running.

[0099] Specifically, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:

[0100] S201, based on the chemical composition and thickness distribution of the car body paint, dynamically adjusts the microwave frequency by real-time monitoring the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying;

[0101] S202 uses multi-band microwave synergistic heating technology to emit high-frequency microwaves and low-frequency microwaves according to the thickness of the paint layer. High-frequency microwaves are used for rapid surface drying, while low-frequency microwaves are used for deep penetration heating to ensure that the paint is dried synchronously from the inside out.

[0102] S203 uses infrared thermal imaging technology to monitor the temperature distribution on the vehicle body surface in real time. Combined with the critical temperature curve range of paint drying, it dynamically adjusts the microwave power output to keep the temperature in the optimal drying range at all times, avoiding paint cracking caused by excessively high temperatures or insufficient drying caused by excessively low temperatures.

[0103] It can be seen that according to the chemical composition and thickness distribution of the car body paint, the microwave frequency is dynamically adjusted by real-time monitoring of the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying; using multi-band microwave collaborative heating technology, high-frequency microwaves and low-frequency microwaves are emitted separately according to the different thicknesses of the paint layer; through infrared thermal imaging technology, the surface temperature distribution of the car body is monitored in real time, and the microwave power output is dynamically adjusted in combination with the critical temperature curve range of paint drying, so that the temperature is always maintained in the optimal drying range, avoiding paint cracking due to excessively high temperature or insufficient drying due to too low temperature, thereby achieving precise control of the paint drying process by adjusting the microwave frequency and power, improving drying efficiency and quality.

[0104] An embodiment of the present invention further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any one of the above method embodiments.

[0105] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0106] Specifically, in this embodiment, the processor may be configured to execute the following steps through a computer program:

[0107] S201, based on the chemical composition and thickness distribution of the car body paint, dynamically adjusts the microwave frequency by real-time monitoring the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying;

[0108] S202 uses multi-band microwave synergistic heating technology to emit high-frequency microwaves and low-frequency microwaves according to the thickness of the paint layer. High-frequency microwaves are used for rapid surface drying, while low-frequency microwaves are used for deep penetration heating to ensure that the paint is dried synchronously from the inside out.

[0109] S203 uses infrared thermal imaging technology to monitor the temperature distribution on the vehicle body surface in real time. Combined with the critical temperature curve range of paint drying, it dynamically adjusts the microwave power output to keep the temperature in the optimal drying range at all times, avoiding paint cracking caused by excessively high temperatures or insufficient drying caused by excessively low temperatures.

[0110] It can be seen that according to the chemical composition and thickness distribution of the car body paint, the microwave frequency is dynamically adjusted by real-time monitoring of the changes in the dielectric constant of the paint surface, so that the microwave energy forms a uniform standing wave distribution in the paint layer, avoiding local overheating or uneven drying; using multi-band microwave collaborative heating technology, high-frequency microwaves and low-frequency microwaves are emitted separately according to the different thicknesses of the paint layer; through infrared thermal imaging technology, the surface temperature distribution of the car body is monitored in real time, and the microwave power output is dynamically adjusted in combination with the critical temperature curve range of paint drying, so that the temperature is always maintained in the optimal drying range, avoiding paint cracking due to excessively high temperature or insufficient drying due to too low temperature, thereby achieving precise control of the paint drying process by adjusting the microwave frequency and power, improving drying efficiency and quality.

[0111] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the scope of implementation of the present invention is not limited to what is shown in the drawings. Any changes made in accordance with the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which do not exceed the spirit covered by the description and drawings, should be within the scope of protection of the present invention.

Claims

1. A method for drying car body paint based on variable frequency microwave, characterized in that: The method comprises: Dynamically adjusting the microwave frequency based on the chemical composition and thickness distribution of the paint on the vehicle body by real-time monitoring the dielectric constant change on the paint surface so that the microwave energy forms a uniform standing wave distribution within the paint layer, including: obtaining chemical composition, temperature distribution, and thickness distribution data of the vehicle body paint; monitoring the dielectric constant change of the paint in real time, using a fuzzy control algorithm, and inputting the dielectric constant change, temperature distribution, and thickness data as input variables into a fuzzy controller, so that the fuzzy controller calculates the microwave frequency adjustment amount based on a preset fuzzy rule base that defines the dielectric constant change and microwave frequency adjustment, and calculates a corresponding optimal microwave frequency value based on the microwave frequency adjustment amount and the current microwave frequency value; and dynamically adjusting the microwave frequency to the optimal microwave frequency value; Utilizing multi-band microwave collaborative heating technology, high-frequency microwaves and low-frequency microwaves are emitted according to the thickness of the paint layer. High-frequency microwaves are used for rapid surface drying, while low-frequency microwaves are used for deep penetration heating, ensuring that the paint is dried synchronously from the inside out. The temperature distribution on the vehicle body surface is monitored in real time through infrared thermal imaging technology. Combined with the critical temperature curve range of paint drying, the microwave power output is dynamically adjusted to keep the temperature in the optimal drying range at all times, avoiding paint cracking caused by excessively high temperatures or insufficient drying caused by excessively low temperatures.

2. The method according to claim 1, characterized in that The multi-band microwave synergistic heating technology is used to emit high-frequency microwaves and low-frequency microwaves according to the thickness of the paint layer. The high-frequency microwaves are used for rapid surface drying, and the low-frequency microwaves are used for deep penetration heating to ensure that the paint is dried synchronously from the inside out. It includes: The paint layer is divided into surface layer, middle layer and deep layer, where the surface layer thickness range is 0-50μm, the middle layer thickness range is 50-150μm, and the deep layer thickness range is >150μm; Start the high-frequency microwave transmitter to quickly heat the paint surface. Use a highly directional antenna to ensure that the high-frequency microwave energy is concentrated on the paint surface. The high-frequency microwave power is 500W-1000W and the frequency is 2.45GHz. At the same time, the low-frequency microwave transmitter is started to penetrate and heat the deep layer of the paint. A wide-beam antenna is used to ensure that the low-frequency microwave energy can penetrate into the deep layer of the paint. The low-frequency microwave power is 1000W-2000W and the frequency is 915MHz. In addition, it ensures that the surface layer and the deep layer are dried synchronously to avoid overheating of the surface layer or insufficient drying of the deep layer.

3. The method according to claim 2, characterized in that The method of using infrared thermal imaging technology to monitor the temperature distribution of the vehicle body surface in real time and dynamically adjusting the microwave power output in combination with the critical temperature curve range of paint drying includes: Use infrared thermal imaging cameras to monitor the paint temperature of the vehicle body in real time to ensure that the temperature remains within the optimal drying temperature range of 60-80°C, which is the critical temperature curve range for paint drying. The microwave power is adjusted by the PID control algorithm. When the temperature is lower than the critical temperature range, the microwave power output is increased, and when the temperature is higher than the critical temperature range, the microwave power output is reduced.

4. A vehicle body paint drying system based on variable frequency microwave, characterized in that: The system comprises: An adjustment module is configured to dynamically adjust the microwave frequency based on the chemical composition and thickness distribution of the vehicle body paint by real-time monitoring the dielectric constant change on the paint surface so that the microwave energy forms a uniform standing wave distribution within the paint layer, including: obtaining data on the chemical composition, temperature distribution, and thickness distribution of the vehicle body paint; monitoring the dielectric constant change of the paint in real time, using a fuzzy control algorithm, and inputting the dielectric constant change, temperature distribution, and thickness data as input variables into a fuzzy controller, so that the fuzzy controller calculates a microwave frequency adjustment amount based on a preset fuzzy rule base defining the dielectric constant change and microwave frequency adjustment, and calculates a corresponding optimal microwave frequency value based on the microwave frequency adjustment amount and the current microwave frequency value; and dynamically adjusting the microwave frequency to the optimal microwave frequency value. The transmitting module is used to utilize multi-band microwave collaborative heating technology to transmit high-frequency microwaves and low-frequency microwaves according to the thickness of the paint layer. The high-frequency microwaves are used for rapid surface drying, while the low-frequency microwaves are used for deep penetration heating to ensure that the paint is dried synchronously from the inside out. The drying module is used to monitor the surface temperature distribution of the vehicle body in real time through infrared thermal imaging technology. Combined with the critical temperature curve range of paint drying, it dynamically adjusts the microwave power output to keep the temperature in the optimal drying range at all times, avoiding paint cracking due to excessively high temperatures or insufficient drying due to excessively low temperatures.

5. The system according to claim 4, characterized in that The transmitting module is specifically used for: The paint layer is divided into surface layer, middle layer and deep layer, where the surface layer thickness range is 0-50μm, the middle layer thickness range is 50-150μm, and the deep layer thickness range is >150μm; Start the high-frequency microwave transmitter to quickly heat the paint surface. Use a highly directional antenna to ensure that the high-frequency microwave energy is concentrated on the paint surface. The high-frequency microwave power is 500W-1000W and the frequency is 2.45GHz. At the same time, the low-frequency microwave transmitter is started to penetrate and heat the deep layer of the paint. A wide-beam antenna is used to ensure that the low-frequency microwave energy can penetrate into the deep layer of the paint. The low-frequency microwave power is 1000W-2000W and the frequency is 915MHz. In addition, it ensures that the surface layer and the deep layer are dried synchronously to avoid overheating of the surface layer or insufficient drying of the deep layer.

6. The system according to claim 5, characterized in that The drying module is specifically used for: Use infrared thermal imaging cameras to monitor the paint temperature of the vehicle body in real time to ensure that the temperature remains within the optimal drying temperature range of 60-80°C, which is the critical temperature curve range for paint drying. The microwave power is adjusted by the PID control algorithm. When the temperature is lower than the critical temperature range, the microwave power output is increased, and when the temperature is higher than the critical temperature range, the microwave power output is reduced.

7. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 3 when run.

8. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 3.

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