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CN-121995731-A - Multi-parameter feedback-based intelligent control method and system for lamination of color photovoltaic modules

CN121995731ACN 121995731 ACN121995731 ACN 121995731ACN-121995731-A

Abstract

The invention relates to the technical field of intelligent manufacturing control, and discloses a multi-parameter feedback-based intelligent control method and system for laminating a color photovoltaic module, comprising the steps of constructing a global objective function containing solidification degree and chromatic aberration; the method comprises the steps of utilizing a spectrum sensor to monitor deformation acceleration of a microstructure of a color layer in real time, calculating an optical damage risk factor, dynamically adjusting objective function weight according to the optical damage risk factor, calculating the optimal oscillating frequency by combining a rheology shear thinning mechanism, controlling an executing mechanism to apply a micro-oscillating pressure wave with the optimal oscillating frequency, and judging quality according to accumulated cost in the whole process. The invention solves the problem of traditional temperature feedback lag by monitoring the deformation acceleration of the microstructure of the coloring layer, solves the contradiction between bubble discharge and microstructure protection by utilizing a film shear thinning mechanism, realizes self-adaptive intelligent regulation and control of the lamination process, avoids optical chromatic aberration caused by excessive pressurization, and improves the yield and reliability of the component.

Inventors

  • LI HUI

Assignees

  • 新源彩能(盐城)科技有限公司

Dates

Publication Date
20260508
Application Date
20260129

Claims (10)

  1. 1. The intelligent control method for laminating the color photovoltaic module based on multi-parameter feedback is characterized by comprising the following steps of: Reading raw material parameters of the components to be laminated, and constructing a global objective function of model predictive control; in the lamination process, a sensor is utilized to collect spectrum data of a component color layer in real time, and an optical damage risk factor is calculated; Dynamically adjusting weight distribution in the global objective function in combination with the optical damage risk factor; calculating an optimal oscillation frequency that minimizes the global objective function based on a rheology-based shear-thinning mechanism and a damage-suppression mechanism; And controlling an executing mechanism of the laminating machine to apply micro-oscillation pressure waves with the optimal oscillation frequency, calculating an accumulated cost convergence value after the lamination process is finished, and comparing the accumulated cost convergence value with a preset quality acceptance threshold value to judge the quality of the assembly.
  2. 2. The multi-parameter feedback-based intelligent control method for color photovoltaic module lamination according to claim 1, wherein the expression of the global objective function is: ; in the formula, As a function of the total cost of the device, In order to predict the time domain of the signal, Is that The crosslinking degree of the adhesive film at any time, For the target degree of crosslinking to be achieved, For the predicted color difference value, As a function of the chromatic aberration penalty, In order to apply the frequency of the pressure oscillation, In order to control the rate of change of the frequency, Maximum operating frequency allowed for the actuator; quality weight, optical weight and control smoothing weight respectively, and 。
  3. 3. The multi-parameter feedback-based color photovoltaic module lamination intelligent control method according to claim 2, wherein the color difference penalty function adopts an exponential barrier function, expressed as: ; in the formula, Is a color difference threshold value, the color difference value According to the color coordinates acquired in real time Color coordinates with standard chromonic layer And calculating the Euclidean distance between the two.
  4. 4. The intelligent control method for laminating a color photovoltaic module based on multi-parameter feedback according to claim 1, wherein the calculation formula of the optical damage risk factor is as follows: ; in the formula, Is that The risk factor of optical damage at the moment in time, Is the reference center wavelength of the chromonic layer; as a characteristic wavelength peak value, As an acceleration of the characteristic wavelength drift, As a function of the time constant of the system response, For the initial wavelength to be the same, For the maximum allowable wavelength shift amount, Is the bias weight coefficient.
  5. 5. The multi-parameter feedback-based intelligent control method for color photovoltaic module lamination according to claim 2, wherein the relationship between the optical weight and the optical damage factor is expressed as: ; in the formula, Is that The optical weight of the moment in time, For the safety threshold inflection point, As a sensitivity coefficient of the sensor array, To control the smoothing weights.
  6. 6. The intelligent control method for laminating a color photovoltaic module based on multi-parameter feedback according to claim 1, wherein the calculation formula of the optimal oscillation frequency is: ; in the formula, As a function of the fundamental frequency, For a gain factor calculated based on the shear-thinning principle, Is a brake coefficient calculated based on the risk of damage.
  7. 7. The intelligent control method for laminating a color photovoltaic module based on multi-parameter feedback according to claim 6, wherein the gain factor is The calculation formula of (2) is as follows: ; in the formula, For a zero shear viscosity at the current temperature, To achieve the desired viscosity, the composition is, For the purpose of adjusting the gain for the viscosity, In order to take a function of a large value, Representing a lower safety threshold.
  8. 8. The intelligent control method for laminating a color photovoltaic module based on multi-parameter feedback according to claim 6, wherein the braking coefficient is The calculation formula of (2) is as follows: ; in the formula, To protect the attenuation coefficient.
  9. 9. The method of claim 1, wherein determining the component quality comprises calculating a cumulative cost convergence value based on a global objective function Setting a quality acceptance threshold If (1) Judging the assembly to be qualified if And judging that the assembly is unqualified.
  10. 10. The intelligent control system for laminating the color photovoltaic module based on the multi-parameter feedback adopts the intelligent control method for laminating the color photovoltaic module based on the multi-parameter feedback as claimed in any one of claims 1 to 9, and is characterized by comprising the following steps: The model construction module is used for reading raw material parameters of the components to be laminated and constructing a global objective function of model predictive control; the monitoring and evaluating module is used for collecting spectral data in real time in the lamination process and calculating an optical damage risk factor; the weight adjusting module is used for dynamically adjusting weight distribution in the global objective function by combining the optical damage risk factors; a frequency calculation module for calculating an optimal oscillation frequency that minimizes a global objective function; and the cooperative control and judgment module is used for controlling the laminator actuating mechanism to output pressure waves and calculating the accumulated cost convergence value to judge the quality.

Description

Multi-parameter feedback-based intelligent control method and system for lamination of color photovoltaic modules Technical Field The invention relates to the technical field of intelligent manufacturing control, in particular to a multi-parameter feedback-based intelligent control method and system for laminating a color photovoltaic module. Background With the rapid development of the Building Integrated Photovoltaic (BIPV) technology, the application scene of the photovoltaic module has been expanded from a simple power station to the fields of building curtain walls, roof tiles and the like, and the market has put higher demands on the aesthetic property of the photovoltaic module. To meet the diversified demands of architectural appearance, color photovoltaic modules have been developed which display specific colors by utilizing the principle of interference and diffraction of light, usually by introducing nano optical thin films or photonic crystal color-forming layers into the package structure. Unlike conventional assemblies, such assemblies with fine optical microstructures place extremely high demands on the accuracy of the lamination process, and any small physical deformation can cause chromatic aberration or cosmetic plaque, affecting the overall construction. The existing photovoltaic module lamination control technology mainly depends on a preset temperature-vacuum-pressure curve, and the temperature of a heating plate or the pressure of an air bag is regulated through a PID algorithm. In the lamination process, temperature data are generally collected by using a thermocouple, fixed pressurization time and pressure value are set according to experience, the viscosity of the adhesive film is reduced by using high temperature, and air in a cell gap is discharged by using high pressure, so that the crosslinking and curing degree of the adhesive film is ensured to reach the standard. However, there are limitations to existing lamination control techniques for color photovoltaic modules with fine optical structures. In particular, the existing lamination process often has difficulty in balancing the contradiction between bubble discharge and microstructure protection, namely, in order to discharge bubbles in a cell gap, a large lamination pressure is usually required, but the fragile nano microstructure of a color-forming layer is easily damaged, so that serious optical color difference or appearance plaque occurs in the assembly, otherwise, if the pressure is reduced for protecting the color-forming layer, insufficient filling power of a glue film is caused, and bubble residues are generated. In addition, the traditional PID control based on temperature feedback has obvious hysteresis, so that the dynamic relation between the rheological state of the adhesive film and the stress deformation of the microstructure cannot be perceived in real time, and accurate pressure adjustment is difficult to carry out at the critical edge of microstructure collapse. Therefore, a need exists for a method and system for intelligent control of color photovoltaic module lamination based on multi-parameter feedback. Disclosure of Invention Aiming at the problems in the related art, the invention provides a multi-parameter feedback-based intelligent control method for laminating a color photovoltaic module, which aims to overcome the technical problems in the prior art. In order to solve the technical problems, the invention is realized by the following technical scheme: The embodiment of the invention provides a multi-parameter feedback-based intelligent control method for laminating a color photovoltaic module, which comprises the steps of reading raw material parameters of the module to be laminated, constructing a global objective function of model predictive control, collecting spectral data of a color layer of the module in real time by using a sensor in the laminating process, calculating an optical damage risk factor, dynamically adjusting weight distribution in the global objective function by combining the optical damage risk factor, calculating an optimal oscillation frequency for minimizing the global objective function on the basis of a rheological shear-thinning mechanism and a damage suppression mechanism, controlling a laminating machine executing mechanism to apply a micro-oscillation pressure wave with the optimal oscillation frequency, calculating an accumulated cost convergence value after the laminating process is finished, and comparing the accumulated cost convergence value with a preset quality acceptance threshold to judge the quality of the module. As a preferable scheme of the multi-parameter feedback-based intelligent control method for laminating the color photovoltaic modules, the expression of the global objective function is as follows: ; in the formula, As a function of the total cost of the device,In order to predict the time domain of the signal,Is thatThe crosslinking degree of the