Copper-clad plate drying temperature control system

Abstract

The invention relates to the technical field of temperature control, in particular to a copper-clad plate drying temperature control system which comprises a temperature dynamic regulation and control module, a temperature maintaining control module, an energy efficiency monitoring module and a quality assurance feedback module. According to the method, the real-time performance and accuracy of temperature regulation and control are improved by monitoring production data and adjusting temperature parameters in real time, the change of the production environment can be quickly adapted by continuously monitoring the temperature of the copper-clad plate area and adjusting the heating time according to the real-time data, and the influence of temperature fluctuation on the quality of the copper-clad plate is effectively avoided; the working frequency and the output power of the heating element are dynamically adjusted, the temperature in the drying process is kept stable, the energy consumption is reduced, the energy efficiency is improved, the drying process is optimized through detailed temperature management, physical and chemical property changes caused by abnormal temperature are prevented, and the quality of the copper-clad plate is monitored in real time through quality detection indexes. The drying quality is ensured to meet the industrial standard, and the overall reliability and performance of products are improved.

Description

Technical Field

[0001] The invention relates to the technical field of temperature control, and in particular to a copper clad laminate drying temperature control system. Background Art

[0002] The field of temperature control technology involves the development and application of various systems, equipment and methods to monitor and adjust the temperature in the environment or equipment. It is widely used in industrial, laboratory and household equipment. Its purpose is to ensure that specific processes or operations are carried out under optimal temperature conditions to improve efficiency and product quality. It includes temperature sensing elements, control units and actuators for accurately adjusting heating or cooling. It is particularly critical in industries such as chemical processing, food manufacturing, and semiconductor manufacturing. It can help maintain process stability and reproducibility while ensuring safety and energy saving.

[0003] Among them, the copper clad laminate drying temperature control system is a specific temperature control device used to control the temperature of the drying process in the production of copper clad laminates. The core is to ensure the quality and performance of the copper clad laminates by accurately controlling the temperature during the drying process. It can optimize the drying process of the copper clad laminates and prevent the physical and chemical properties from changing due to excessively high or low temperatures, thereby affecting the quality of the final product. In the electronics industry, copper clad laminates are widely used in the manufacture of printed circuit boards. Therefore, this system plays an important role in ensuring the performance and reliability of circuit boards.

[0004] Existing temperature control technologies usually face the problems of lag and insufficient precision in temperature control. Due to reliance on fixed parameters and lack of real-time data support, the system cannot quickly adapt to changes in the environment and demand in production, resulting in the inability to adjust the heating parameters in time, which easily leads to inaccurate temperature control. The lack of control may cause the copper clad laminate to be too hot or too cold during the drying process, affecting its physical and chemical properties, thereby reducing product quality. In addition, due to the lack of dynamic adjustment and monitoring mechanisms, traditional technologies also perform poorly in energy efficiency management, often resulting in energy waste and increased production costs. These technical limitations not only reduce production efficiency, but also increase the operating costs of enterprises. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a copper clad laminate drying temperature control system.

[0006] In order to achieve the above object, the present invention adopts the following technical scheme: A copper clad laminate drying temperature control system comprises: The temperature dynamic control module deploys temperature sensors to continuously monitor the temperature of the copper clad laminate area based on real-time production data. The time regulator adjusts the heating time and temperature parameters according to the data, and makes fine adjustments based on the adjustment results to match the different environments and production needs, accurately control the temperature changes during the drying process of the copper clad laminate, and generate a temperature and time control plan; The temperature maintenance control module dynamically maintains the temperature of the copper clad laminate drying section according to the temperature time control scheme, and adjusts the operating frequency and output power of the heating element according to the dynamic maintenance result to ensure the temperature stability during the continuous drying process and obtain a stable temperature maintenance configuration; The energy efficiency monitoring module monitors energy consumption in real time based on the stable temperature maintenance configuration, adjusts power distribution and heating rate through energy efficiency indicators, and obtains energy efficiency optimization results; The quality assurance feedback module uses the energy efficiency optimization results to monitor the quality of the copper clad laminates in all drying stages in real time through quality detection indicators, readjusts the heating strategy and temperature settings based on the real-time monitoring results, ensures that the drying quality of the copper clad laminates matches the industrial standards, and generates a copper clad laminate drying quality certificate.

[0007] As a further solution of the present invention, the steps for adjusting the heating time and temperature parameters are: Temperature sensors and time controllers are deployed in the drying area of ​​the copper clad laminate. Temperature data is collected using temperature sensors with a recording frequency of once per minute. The formula is used. The average temperature is calculated , Indicates Minutes of temperature recording, is the number of records, Generate average temperature data for calibration coefficients; The average temperature data is compared with the preset standard temperature For comparison, using the formula, Calculate the deviation, where Indicates the preset standard temperature. Adjust the parameter for sensitivity, is the deviation value, generating temperature deviation data.

[0008] According to the temperature deviation data, the heating parameters of the time controller are adjusted using the formula, Update heating parameters, where is the initial heating parameter, is the adjustment coefficient, is the heating efficiency coefficient, An updated heating control scheme is generated for the updated heating parameters.

[0009] As a further solution of the present invention, the steps for obtaining the temperature-time control solution are: Using the updated heating control scheme, fine-tuning is performed for different environmental factors, using the formula, in, Represents environmental factors, To adjust the coefficient to reflect the sensitivity of environmental changes to heating demand, is the environmental adaptation coefficient, which is used to adjust the device response caused by environmental changes. For the adjusted environmental heating parameters, generating heating parameters adjusted for the environment; Apply the heating parameters adjusted for the environment, according to the different production requirements, using the formula, Among them, D represents the production demand factor, which reflects the degree of change in production demand. is the demand adjustment coefficient, which reflects the impact of target production demand on heating parameters. Heating parameters for production requirements, generating heating parameters that match production requirements; According to the heating parameters matching the production requirements, the drying process of the copper clad laminate is controlled, using the formula: in, represents the final heating parameters, Represents the heating efficiency factor, reflecting the performance of the heating system. Represents the environmental response coefficient, reflecting the sensitivity of the ambient temperature change to the heating response. Represents the actual ambient temperature, Represents the reference temperature, which serves as the benchmark ambient temperature for the design of the heating system and generates a temperature-time control plan.

[0010] As a further solution of the present invention, the step of dynamically maintaining the temperature of the copper clad laminate drying section is: Extract the reference target temperature in the temperature time control scheme , and calculate the temperature adjustment deviation updated based on the environmental survey , using the formula, in, is the target temperature value, is the reference target temperature, It is the temperature deviation adjusted according to environmental changes. is the adjustment factor used to enhance the effect of deviation and generate target temperature data; Real-time monitoring of current temperature , calculate the deviation from the target temperature data, using the formula, in, is the adjusted temperature deviation value, Represents the current actual temperature. is the raw deviation from the target temperature, is the feedback adjustment coefficient, which is used to adjust the influence of the deviation and obtain the temperature deviation adjustment data; Combined with the temperature deviation adjustment data, the heating setting of the drying section is adjusted using the formula, in, is the tuning constant for the temperature response, which enhances the response to small deviations through the quadratic term, is the adjusted temperature setting value, and gets the adjusted temperature setting result.

[0011] As a further solution of the present invention, the steps of obtaining the stable temperature maintenance configuration are: According to the adjusted temperature setting results, compare the optimal operating temperature , using the formula, in, is the optimal operating temperature of the system, is the deviation between the adjusted temperature and the optimal temperature, is the secondary adjustment coefficient of the deviation, and the final temperature deviation data is obtained; According to the final temperature deviation data, the operating frequency of the heating element is adjusted using the formula, in, is the new operating frequency, is the basic operating frequency, It is the adjustment factor, which affects the adjustment amplitude of the frequency and obtains the working frequency data of the heating element; According to the final temperature deviation data, the output power of the heating element is adjusted synchronously, using the formula: Calculate the new output power ,in, is the base output power, It is a linear-nonlinear mixed coefficient of power adjustment, which adjusts the sensitivity and adjustment amplitude of the output power, integrates the operating frequency data of the heating element, and obtains a stable temperature maintenance configuration.

[0012] As a further solution of the present invention, the steps of obtaining the energy efficiency optimization result are: Apply the stable temperature maintenance configuration, collect current energy consumption data in real time, record it once every minute, and use the formula, in, is the average energy consumption in the current time window, Indicates the number of records. represents the energy consumption at the current moment, It is a coefficient used to adjust the square term of energy consumption, increase the calculation sensitivity, and obtain the average energy consumption data; Combine the average energy consumption data with the set energy efficiency targets To compare, use the formula, in, is the energy efficiency deviation value, The target energy consumption is set based on historical data and optimal energy usage. It is the sensitivity parameter for adjusting the deviation calculation to obtain the energy efficiency deviation data; According to the energy consumption deviation data, the power distribution and heating rate are adjusted using the formula: in, It is a new power configuration. is the base power, It is the influencing factor of index adjustment, controls the rate and sensitivity of power adjustment, and outputs the adjusted power configuration result; Apply the adjusted power configuration results to detect the actual energy efficiency performance, and use the formula: Calculate the actual energy efficiency ratio ,in, is the actual energy consumption, It is a function used to smooth power data, adjust the stability and reliability of energy efficiency calculation, and generate energy efficiency optimization results.

[0013] As a further solution of the present invention, the real-time monitoring steps of the copper clad laminate quality in all drying stages are: Based on the energy efficiency optimization results, the energy consumption index of the copper clad laminate drying process is calculated in real time , using the formula, in, represents the energy consumption at each measuring point, is the total number of measurement points, is the weight coefficient of the standard deviation, yes The average value of the current energy consumption index data is generated ; Combined with the current energy consumption index data , conduct quality inspection and monitor the quality indicators of copper clad laminates in real time , using the formula, in, is the quality score of each measurement, is the energy consumption at the corresponding measurement point, is the maximum energy consumption during the measurement period, is the adjustment coefficient to generate real-time quality monitoring results ; According to the real-time quality monitoring results , evaluate whether the copper clad laminate meets the preset quality standards, calculate the quality deviation, in, is the overall quality score, It is an industry standard quality indicator. is the adjustment coefficient of the time derivative, which is used to adjust the sensitivity to the changing trend. Represents the time rate of change of the quality indicator and generates quality deviation results.

[0014] As a further solution of the present invention, the steps for obtaining the dry quality certificate of the copper clad laminate are: Based on the quality deviation results, the heating parameters are adjusted to optimize the drying process and new temperature settings are calculated using the formula, Generate new temperature settings ,in, is the optimal temperature setting, is the temperature adjustment parameter, is the coefficient used to adjust the impact of quality deviation; Apply the new temperature setting , re-monitor the quality indicators of the copper clad laminate, using the formula, Generate updated quality monitoring results ,in, is the quality rating, is the weight coefficient, is the nonlinear effect of temperature on mass, is the total number of measurement points; According to the updated quality monitoring results , with industry standard quality indicators For comparison, using the formula, Among them, 1 means that the standard is met, 0 means that it is not met, and the copper clad laminate drying quality certificate is output.

[0015] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by real-time monitoring of production data and adjustment of temperature parameters, the real-time and accuracy of temperature control are improved; by continuously monitoring the temperature of the copper clad laminate area and adjusting the heating time according to real-time data, it is possible to quickly adapt to changes in the production environment, effectively avoid the influence of temperature fluctuations on the quality of the copper clad laminate, dynamically adjust the operating frequency and output power of the heating element, maintain the temperature stability during the drying process, thereby reducing energy consumption and improving energy efficiency; meticulous temperature management optimizes the drying process, prevents changes in physical and chemical properties caused by abnormal temperature, and monitors the quality of the copper clad laminate in real time through quality detection indicators to ensure that the drying quality meets industrial standards and improves the overall reliability and performance of the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a system flow chart of the present invention; Figure 2 This is a flow chart for adjusting the heating time and temperature parameters of the present invention; Figure 3 It is a flow chart for obtaining the temperature and time control scheme of the present invention; Figure 4 The present invention is a flow chart for dynamically maintaining the temperature of the drying section of the copper-clad laminate; Figure 5 A flowchart for obtaining a stable temperature maintenance configuration of the present invention; Figure 6 A flow chart for obtaining energy efficiency optimization results of the present invention; Figure 7 A real-time monitoring flow chart of the quality of the copper clad laminate in all drying stages of the present invention; Figure 8 The present invention is a flow chart for obtaining the dry quality certificate of the copper clad laminate. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined. Embodiment 1

[0019] See also Figure 1 , a copper clad laminate drying temperature control system comprises: The temperature dynamic control module deploys temperature sensors to continuously monitor the temperature of the copper clad laminate area based on real-time production data. The time regulator adjusts the heating time and temperature parameters according to the data, and makes fine adjustments based on the adjustment results to match the different environments and production needs, accurately control the temperature changes during the drying process of the copper clad laminate, and generate a temperature and time control plan; The temperature maintenance control module dynamically maintains the temperature of the copper clad laminate drying section according to the temperature time control scheme, and adjusts the operating frequency and output power of the heating element according to the dynamic maintenance results to ensure the temperature stability during the continuous drying process and obtain a stable temperature maintenance configuration; The energy efficiency monitoring module monitors energy consumption in real time based on stable temperature maintenance configuration, adjusts power distribution and heating rate through energy efficiency indicators, and obtains energy efficiency optimization results; The quality assurance feedback module uses the energy efficiency optimization results to monitor the quality of the CCL in all drying stages in real time through quality detection indicators. It readjusts the heating strategy and temperature settings based on the real-time monitoring results to ensure that the drying quality of the CCL matches the industrial standards and generates a CCL drying quality certificate.

[0020] The temperature and time control plan includes temperature parameters, time parameters and environmental adaptability analysis results. The stable temperature maintenance configuration includes operating frequency, output power and temperature consistency evaluation records. The energy efficiency optimization results include energy consumption, power allocation records and heating efficiency analysis results. The copper clad laminate drying quality certification includes copper clad laminate drying quality detection indicators, heating strategy adjustment content and industrial standard compliance.

[0021] See also Figure 2 , the adjustment steps of heating time and temperature parameters are: Temperature sensors and time controllers are deployed in the drying area of ​​the copper clad laminate. Temperature data is collected using temperature sensors with a recording frequency of once per minute. The formula is used. The average temperature is calculated , Indicates Minutes of temperature recording, is the number of records, Generate average temperature data for calibration coefficients; Compare the average temperature data with the preset standard temperature For comparison, using the formula, Calculate the deviation, where Indicates the preset standard temperature. Adjust the parameter for sensitivity, is the deviation value, generating temperature deviation data.

[0022] According to the temperature deviation data, adjust the heating parameters of the time controller, using the formula, Update heating parameters, where is the initial heating parameter, is the adjustment coefficient, is the heating efficiency coefficient, An updated heating control scheme is generated for the updated heating parameters.

[0023] Assuming the number of records For 60 times, i.e. one hour, the calibration factor It is set to 1.05 to reflect the deviation of the equipment from the ideal state in actual operation.

[0024] If the temperature is recorded every minute for one hour as follows: Celsius (randomly select the temperature, for the convenience of calculation, all take 150), substitute it into the formula and calculate: The result of 157.5 degrees Celsius represents the average temperature after calibration, which means that the actual operating temperature is slightly higher than the device display, ensuring the performance of the device.

[0025] Assuming the preset standard temperature , is 160 degrees Celsius, representing the ideal operating temperature during production, sensitivity adjustment parameter , set to 0.95, reflects the sensitivity of the temperature control system to deviation.

[0026] Combined with the above calculations, we know Celsius, substitute into the formula to calculate: The calculated result equal to 2.63 represents the temperature deviation after adjustment according to the set sensitivity parameters, which is used to guide further adjustments.

[0027] Assuming the initial heating parameters , set to 100 units, represents the heating parameters before adjustment, adjustment coefficient , set to 0.5, indicating the influence of each unit temperature difference deviation on the heating parameters, the heating efficiency coefficient , is set to 1.1, taking into account the possible efficiency loss of actual equipment.

[0028] Combined with the above calculations, we know ,but: Here, 101.4465 units represent the adjusted heating parameters, which are increased by about 1.4465 units compared to the initial parameters, meaning that in order to maintain the set production temperature, the heating energy needs to be increased.

[0029] See also Figure 3 , the steps to obtain the temperature and time control scheme are: With the updated heating control scheme, fine-tuned for different environmental factors, the formula is adopted. in, Represents environmental factors, To adjust the coefficient to reflect the sensitivity of environmental changes to heating demand, is the environmental adaptation coefficient, which is used to adjust the device response caused by environmental changes. For the adjusted environmental heating parameters, generating heating parameters adjusted for the environment; Apply heating parameters adjusted for the environment, according to different production needs, using the formula, Among them, D represents the production demand factor, which reflects the degree of change in demand in production. is the demand adjustment coefficient, which reflects the impact of target production demand on heating parameters. Heating parameters for production requirements, generating heating parameters that match production requirements; According to the heating parameters that match the production requirements, the drying process of the copper clad laminate is controlled using the formula: in, represents the final heating parameters, Represents the heating efficiency factor, reflecting the performance of the heating system. Represents the environmental response coefficient, reflecting the sensitivity of the ambient temperature change to the heating response. Represents the actual ambient temperature, Represents the reference temperature, which serves as the benchmark ambient temperature for the design of the heating system and generates a temperature-time control plan.

[0030] The updated heating parameter obtained from the above is 101.4465 units.

[0031] Environmental adjustment factor , set to 0.03, reflecting the sensitivity of environmental changes to heating demand.

[0032] Environmental factors , set to 5, represents the impact of current environmental conditions (such as humidity, temperature external deviation, etc.) on the heating process.

[0033] Environmental adaptability coefficient , is set to 1.08, taking into account the device response adjustment caused by environmental changes.

[0034] Substitute into the formula and calculate: The result 94.07 units indicates that the adjusted heating parameters after considering environmental factors are slightly lower than the original parameters, indicating that environmental factors require a reduction in heating to maintain production standards.

[0035] Production demand adjustment factor , set to 0.02, reflects the impact of specific production requirements (such as material type, thickness, etc.) on heating parameters.

[0036] Production Demand Factor , set to 50, reflecting the degree of change in demand during production.

[0037] Continuing to use the above calculation results, we get: The result, 94.07 units, remains unchanged, indicating that the specific adjustment in production demand has not changed the heating demand, because the production adjustment factor and the demand factor exactly cancel each other out.

[0038] Heating efficiency factor , assuming it is 0.9, indicating that the actual output of the heating system is the theoretical value .

[0039] Environmental response factor , set to 0.1, reflects the sensitivity of the heating response to changes in ambient temperature.

[0040] Actual ambient temperature , assuming that Celsius, representing the temperature of the current operating environment.

[0041] Reference temperature , set to Celsius, as the reference ambient temperature for heating system design.

[0042] Combined with the above calculation results =94.07, substitute into the formula for calculation: Calculate the denominator: Calculate the final heating parameters: Final heating parameters Approximately 5.436 units. This value represents the heating intensity that the system should adopt after considering the impact of the actual ambient temperature on the performance of the heating system. A lower value reflects that at the current temperature, the system requires less heating energy to achieve the required production conditions, ensuring energy efficiency and reducing the risk of overheating.

[0043] See also Figure 4 , the dynamic maintenance steps of the temperature of the copper clad laminate drying section are: Extraction temperature time control scheme in the benchmark target temperature , and calculate the temperature adjustment deviation updated based on the environmental survey , using the formula, in, is the target temperature value, is the reference target temperature, It is the temperature deviation adjusted according to environmental changes. is the adjustment factor used to enhance the effect of deviation and generate target temperature data; Real-time monitoring of current temperature , calculate the deviation from the target temperature data, using the formula, in, is the adjusted temperature deviation value, Represents the current actual temperature. is the raw deviation from the target temperature, is the feedback adjustment coefficient, which is used to adjust the influence of the deviation and obtain the temperature deviation adjustment data; Combined with the temperature deviation adjustment data, adjust the heating settings of the drying section, using the formula, in, is the tuning constant for the temperature response, which enhances the response to small deviations through the quadratic term, is the adjusted temperature setting value, and gets the adjusted temperature setting result.

[0044] Assuming the reference target temperature 150 degrees Celsius, which is the ideal drying temperature set without external interference, environmental adjustment deviation Set according to seasonal changes or temperature fluctuations in the workshop Celsius, adjustment factor Assuming it is 0.1, then: Calculation results show that the target temperature is adjusted to 156.12 degrees Celsius to accommodate environmental influences.

[0045] If real-time monitoring data shows the current temperature for Celsius, using the above calculation is 156.12 degrees Celsius, the feedback adjustment coefficient Set it to 0.05 and substitute it into the formula: Estimate initial : Applying bias adjustment: Celsius means that after considering the adjustment factor, the actual temperature deviation is Celsius, the actual temperature after adjustment is 156.12+0.84=156.96 degrees Celsius, which is closer to the target temperature value.

[0046] Adjustment constant Set it to 0.1, combine the above calculation results, and substitute it into the formula to get: result Celsius indicates that the heating settings in the drying section have been fine-tuned based on the current environment and temperature feedback to maintain the temperature closer to the target temperature.

[0047] See also Figure 5 , the steps to obtain the stable temperature maintenance configuration are: Compare the optimal operating temperature based on the adjusted temperature setting results , using the formula, in, is the optimal operating temperature of the system, is the deviation between the adjusted temperature and the optimal temperature, is the secondary adjustment coefficient of the deviation, and the final temperature deviation data is obtained; According to the final temperature deviation data, adjust the operating frequency of the heating element, using the formula, in, is the new operating frequency, is the basic operating frequency, It is the adjustment factor, which affects the adjustment amplitude of the frequency and obtains the working frequency data of the heating element; According to the final temperature deviation data, the output power of the heating element is adjusted synchronously, using the formula: Calculate the new output power ,in, is the base output power, It is a linear-nonlinear mixed coefficient of power adjustment, which adjusts the sensitivity and adjustment amplitude of the output power, integrates the operating frequency data of the heating element, and obtains a stable temperature maintenance configuration.

[0048] From the above calculation for Celsius. Assuming the system's optimal operating temperature for Celsius, to calculate the deviation from the optimal temperature, set the adjustment factor is 0.02.

[0049] Calculate the initial : Perform the final deviation calculation: The adjusted temperature deviation indicates the need to reduce the heating output to reduce the deviation from the optimal temperature.

[0050] According to the above calculation , adjust the operating frequency of the heating element.

[0051] Assuming the base operating frequency for , the regulating factor Set to 0.0003.

[0052] Substitute the formula into the calculation: The results show that the operating frequency of the heating element needs to be adjusted to , in order to meet the drying needs.

[0053] Assuming base output power For 1000 watts, adjust the linear-nonlinear mixing coefficient If it is set to 0.1, then: Calculations show that the output power is slightly reduced to account for the overheating, and the adjusted power is 982.9 watts, which is closer to ideal operating conditions.

[0054] See also Figure 6 , the steps to obtain the energy efficiency optimization results are: Apply stable temperature maintenance configuration, collect current energy consumption data in real time, record once every minute, use formula, in, is the average energy consumption in the current time window, Indicates the number of records. represents the energy consumption at the current moment, It is a coefficient used to adjust the square term of energy consumption, increase calculation sensitivity, and obtain average energy consumption data; Combine average energy consumption data with setting energy efficiency targets To compare, use the formula, in, is the energy efficiency deviation value, The target energy consumption is set based on historical data and optimal energy usage. It is the sensitivity parameter for adjusting the deviation calculation to obtain the energy efficiency deviation data; According to the energy consumption deviation data, the power distribution and heating rate are adjusted using the formula: in, It is a new power configuration. is the base power, It is the influencing factor of index adjustment, controls the rate and sensitivity of power adjustment, and outputs the adjusted power configuration result; Apply the adjusted power configuration results to detect the actual energy efficiency performance, through the formula, Calculate the actual energy efficiency ratio ,in, is the actual energy consumption, It is a function used to smooth power data, adjust the stability and reliability of energy efficiency calculation, and generate energy efficiency optimization results.

[0055] Assuming energy consumption In 15 minutes, Watt (i.e. recorded 15 times, m=15), is 0.01.

[0056] Calculate the simple average energy consumption: Calculate the sum of the squares of energy consumption: use Adjust the square term: Final average energy consumption: This means that in a given 15-minute period, the adjusted average energy consumption is 314.75 watts. This high value reflects the high energy consumption during some peaks in the copper clad laminate drying process.

[0057] Assumptions For 100 watts, as the ideal energy consumption target, the adjustment factor is is 0.01, used to smooth the deviation effect, using the above calculation results , substitute into the formula and get: This indicates that the adjusted energy consumption deviation is 68.23 watts, which is high, indicating that the system is consuming too much energy relative to the target.

[0058] Assume 500 watts, which is the base power before adjustment. Set to 0.0001 to control the sensitivity of power adjustment. , substitute into the formula to calculate: Calculate the index adjustment part: Calculate the new power profile: The results show that the new power configuration after adjustment is too low based on the high deviation of energy consumption. Watts, indicating that the system needs to reduce power to avoid excessive energy consumption.

[0059] Continue to use , assuming that, 250 watts, is 0.5: Calculate the energy efficiency ratio: This result shows that the new energy efficiency ratio is still low, only , indicating that the energy efficiency control strategy of the copper clad laminate drying temperature control system needs to be further improved or re-evaluated.

[0060] See also Figure 7 , the real-time monitoring steps of the copper clad laminate quality in all drying stages are: Based on the energy efficiency optimization results, the energy consumption index of the copper clad laminate drying process is calculated in real time , using the formula, in, represents the energy consumption at each measuring point, is the total number of measurement points, is the weight coefficient of the standard deviation, yes The average value of the current energy consumption index data is generated ; Combined with current energy consumption indicator data , conduct quality inspection and monitor the quality indicators of copper clad laminates in real time , using the formula, in, is the quality score of each measurement, is the energy consumption at the corresponding measurement point, is the maximum energy consumption during the measurement period, is the adjustment coefficient to generate real-time quality monitoring results ; According to the real-time quality monitoring results , evaluate whether the copper clad laminate meets the preset quality standards, calculate the quality deviation, in, is the overall quality score, It is an industry standard quality indicator. is the adjustment coefficient of the time derivative, which is used to adjust the sensitivity to the changing trend. Represents the time rate of change of the quality indicator and generates quality deviation results.

[0061] Assume that the energy consumption at each point They are and 140 units.

[0062] Total number of measuring points .

[0063] Weight factor for standard deviation , set to 0.1.

[0064] Calculate average energy consumption: Calculate the variance part: Standard deviation calculation and weighting: Final energy consumption indicators: Final Result Represents a real-time energy consumption indicator after accounting for fluctuations in energy consumption. This value shows slightly higher energy use relative to average energy consumption during the drying process of the copper clad laminate, which may reflect excessive consumption or equipment inefficiency.

[0065] If the following data exists: : No. The quality score of the .

[0066] : Corresponding to energy consumption, continue with the above data.

[0067] : Maximum energy consumption during the measurement period, .

[0068] : Adjustment coefficient, set to 2.

[0069] Calculate the weighted quality score: Q=2×[0.571+0.729+0.644+0.743+0.83] Final quality monitoring results Indicates the comprehensive quality score taking energy consumption into account. This score reflects the quality of the copper clad laminate at the current energy consumption level.

[0070] Assumptions: : Industry standard quality indicator, assumed to be 8.

[0071] : The adjustment coefficient of the time derivative is set to 0.05.

[0072] : Quality change rate, assuming it is currently -0.03 (indicating a slight decrease in quality).

[0073] Combining the above calculation results, substituting them into the formula, we get: Quality deviation Indicates the gap between the current quality and the standard. Negative values ​​indicate that the current quality is lower than the industrial standard and the quality needs to be improved by adjusting the drying parameters.

[0074] See also Figure 8 , the steps to obtain the dry quality certificate of copper clad laminate are: According to the quality deviation results, the heating parameters are adjusted to optimize the drying process and the new temperature settings are calculated using the formula, Generate new temperature settings ,in, is the optimal temperature setting, is the temperature adjustment parameter, is the coefficient used to adjust the impact of quality deviation; Apply new temperature settings , re-monitor the quality indicators of the copper clad laminate, using the formula, Generate updated quality monitoring results ,in, is the quality rating, is the weight coefficient, is the nonlinear effect of temperature on mass, is the total number of measurement points; According to the updated quality monitoring results , with industry standard quality indicators For comparison, using the formula, Among them, 1 means that the standard is met, 0 means that it is not met, and the copper clad laminate drying quality certificate is output.

[0075] Assumptions: : Optimal temperature setting, assuming Celsius.

[0076] : Temperature adjustment coefficient, set to 1.5.

[0077] : According to the above calculation, .

[0078] : Coefficient used to adjust the impact of mass deviation, set to 0.2.

[0079] Calculate the new temperature setting: New temperature settings The degree Celsius shows the temperature adjustment required to improve the quality standard. This temperature adjustment is based on the current quality deviation and adjustment parameters to ensure that the copper clad laminate meets or exceeds the predetermined industry standard after drying.

[0080] : Weight coefficient, set to 1.

[0081] : The quality score obtained from the above calculation is .

[0082] : The new temperature is set to Celsius.

[0083] Calculate updated quality monitoring results: Updated quality monitoring results This indicates that the quality score of the copper clad laminate has improved at the new temperature setting, which may mean that the quality now meets or exceeds the industrial standard.

[0084] Assuming industry standard quality indicators 8, evaluate whether the new temperature setting meets the standard: Certification of dry quality of generated copper clad laminate The results show that the quality of copper clad laminates has reached or exceeded industrial standards, thus meeting production and sales requirements. This result supports the adjustment of heating strategies and the optimization of temperature settings, ensuring the continuous improvement of copper clad laminate product quality and proof of compliance with standards.

[0085] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A copper clad laminate drying temperature control system, characterized in that: The system comprises: The temperature dynamic control module deploys temperature sensors to continuously monitor the temperature of the copper clad laminate area based on real-time production data. The time regulator adjusts the heating time and temperature parameters according to the data, and makes fine adjustments based on the adjustment results to match the different environments and production needs, accurately control the temperature changes during the drying process of the copper clad laminate, and generate a temperature and time control plan; The temperature maintenance control module dynamically maintains the temperature of the copper clad laminate drying section according to the temperature time control scheme, and adjusts the operating frequency and output power of the heating element according to the dynamic maintenance result to ensure the temperature stability during the continuous drying process and obtain a stable temperature maintenance configuration; The energy efficiency monitoring module monitors energy consumption in real time based on the stable temperature maintenance configuration, adjusts power distribution and heating rate through energy efficiency indicators, and obtains energy efficiency optimization results; The quality assurance feedback module uses the energy efficiency optimization results to monitor the quality of the copper clad laminates in all drying stages in real time through quality detection indicators, readjusts the heating strategy and temperature settings based on the real-time monitoring results, ensures that the drying quality of the copper clad laminates matches the industrial standards, and generates a copper clad laminate drying quality certificate.

2. The copper clad laminate drying temperature control system according to claim 1, characterized in that: The adjustment steps of the heating time and temperature parameters are as follows: Temperature sensors and time controllers are deployed in the drying area of ​​the copper clad laminate. Temperature data is collected using temperature sensors with a recording frequency of once per minute. The formula is used. ； The average temperature is calculated , Indicates Minutes of temperature recording, is the number of records, Generate average temperature data for calibration coefficients; The average temperature data is compared with the preset standard temperature For comparison, using the formula, ； Calculate the deviation, where Indicates the preset standard temperature. Adjust the parameter for sensitivity, is the deviation value, generating temperature deviation data; According to the temperature deviation data, the heating parameters of the time controller are adjusted using the formula, ； Update heating parameters, where is the initial heating parameter, is the adjustment coefficient, is the heating efficiency coefficient, An updated heating control scheme is generated for the updated heating parameters.

3. The copper clad laminate drying temperature control system according to claim 2, characterized in that: The steps for obtaining the temperature-time control scheme are: Using the updated heating control scheme, fine-tuning is performed for different environmental factors, using the formula, ； in, Represents environmental factors, To adjust the coefficient to reflect the sensitivity of environmental changes to heating demand, is the environmental adaptation coefficient, which is used to adjust the device response caused by environmental changes. For the adjusted environmental heating parameters, generating heating parameters adjusted for the environment; Apply the heating parameters adjusted for the environment, according to the different production requirements, using the formula, ； Among them, D represents the production demand factor, which reflects the degree of change in demand in production. is the demand adjustment coefficient, which reflects the impact of target production demand on heating parameters. Heating parameters for production requirements, generating heating parameters that match production requirements; According to the heating parameters matching the production requirements, the drying process of the copper clad laminate is controlled, using the formula: ； in, represents the final heating parameters, Represents the heating efficiency factor, reflecting the performance of the heating system. Represents the environmental response coefficient, reflecting the sensitivity of the ambient temperature change to the heating response. Represents the actual ambient temperature, Represents the reference temperature, which serves as the benchmark ambient temperature for the design of the heating system and generates a temperature-time control plan.

4. The copper clad laminate drying temperature control system according to claim 3, characterized in that: The steps for dynamically maintaining the temperature of the copper clad laminate drying section are: Extract the reference target temperature in the temperature time control scheme , and calculate the temperature adjustment deviation updated based on the environmental survey , using the formula, ； in, is the target temperature value, is the reference target temperature, It is the temperature deviation adjusted according to environmental changes. is the adjustment factor used to enhance the effect of deviation and generate target temperature data; Real-time monitoring of current temperature , calculate the deviation from the target temperature data, using the formula, ； ； in, is the adjusted temperature deviation value, Represents the current actual temperature. is the raw deviation from the target temperature, is the feedback adjustment coefficient, which is used to adjust the influence of the deviation and obtain the temperature deviation adjustment data; Combined with the temperature deviation adjustment data, the heating setting of the drying section is adjusted using the formula, ； in, is the tuning constant for the temperature response, which enhances the response to small deviations through the quadratic term, is the adjusted temperature setting value, and gets the adjusted temperature setting result.

5. The copper clad laminate drying temperature control system according to claim 4, characterized in that: The steps of obtaining the stable temperature maintenance configuration are: According to the adjusted temperature setting results, compare the optimal operating temperature , using the formula, ； ； in, is the optimal operating temperature of the system, is the deviation between the adjusted temperature and the optimal temperature, is the secondary adjustment coefficient of the deviation, and the final temperature deviation data is obtained; According to the final temperature deviation data, the operating frequency of the heating element is adjusted using the formula, ； in, is the new operating frequency, is the basic operating frequency, It is the adjustment factor, which affects the adjustment amplitude of the frequency and obtains the working frequency data of the heating element; According to the final temperature deviation data, the output power of the heating element is adjusted synchronously, using the formula: ； Calculate the new output power ,in, is the base output power, It is a linear-nonlinear mixed coefficient of power adjustment, which adjusts the sensitivity and adjustment amplitude of the output power, integrates the operating frequency data of the heating element, and obtains a stable temperature maintenance configuration.

6. The copper clad laminate drying temperature control system according to claim 5, characterized in that: The steps for obtaining the energy efficiency optimization result are: Apply the stable temperature maintenance configuration, collect current energy consumption data in real time, record it once every minute, and use the formula, ； in, is the average energy consumption in the current time window, Indicates the number of records. represents the energy consumption at the current moment, It is a coefficient used to adjust the square term of energy consumption, increase calculation sensitivity, and obtain average energy consumption data; Combine the average energy consumption data with the set energy efficiency targets To compare, use the formula, ； in, is the energy efficiency deviation value, The target energy consumption is set based on historical data and optimal energy usage. It is the sensitivity parameter for adjusting the deviation calculation to obtain the energy efficiency deviation data; According to the energy consumption deviation data, the power distribution and heating rate are adjusted using the formula: ； in, It is a new power configuration. is the base power, It is the influencing factor of index adjustment, controls the rate and sensitivity of power adjustment, and outputs the adjusted power configuration result; Apply the adjusted power configuration results to detect the actual energy efficiency performance, through the formula, ； Calculate the actual energy efficiency ratio ,in, is the actual energy consumption, It is a function used to smooth power data, adjust the stability and reliability of energy efficiency calculation, and generate energy efficiency optimization results.

7. The copper clad laminate drying temperature control system according to claim 6, characterized in that: The real-time monitoring steps of the copper clad laminate quality in all drying stages are as follows: Based on the energy efficiency optimization results, the energy consumption index of the copper clad laminate drying process is calculated in real time , using the formula, ； in, represents the energy consumption at each measuring point, is the total number of measurement points, is the weight coefficient of the standard deviation, yes The average value of the current energy consumption index data is generated ; Combined with the current energy consumption index data , conduct quality inspection and monitor the quality indicators of copper clad laminates in real time , using the formula, ； in, is the quality score of each measurement, is the energy consumption at the corresponding measurement point, is the maximum energy consumption during the measurement period, is the adjustment coefficient to generate real-time quality monitoring results ; According to the real-time quality monitoring results , evaluate whether the copper clad laminate meets the preset quality standards, calculate the quality deviation, ； in, is the overall quality score, It is an industry standard quality indicator. is the adjustment coefficient of the time derivative, which is used to adjust the sensitivity to the changing trend. Represents the time rate of change of the quality indicator and generates quality deviation results.

8. The copper clad laminate drying temperature control system according to claim 7, characterized in that: The steps for obtaining the dry quality certificate of the copper clad laminate are: Based on the quality deviation results, the heating parameters are adjusted to optimize the drying process and new temperature settings are calculated using the formula, ； Generate new temperature settings ,in, is the optimal temperature setting, is the temperature adjustment parameter, is the coefficient used to adjust the impact of quality deviation; Apply the new temperature setting , re-monitor the quality indicators of the copper clad laminate, using the formula, ； Generate updated quality monitoring results ,in, is the quality rating, is the weight coefficient, is the nonlinear effect of temperature on mass, is the total number of measurement points; According to the updated quality monitoring results , with industry standard quality indicators For comparison, using the formula, ； Among them, 1 means that the standard is met, 0 means that it is not met, and the copper clad laminate drying quality certificate is output.

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