Intelligent color regulation and control method and system based on electrochromic glass

Abstract

The invention discloses an intelligent color regulation and control method and system based on electrochromic glass, and relates to the technical field of electrochromism, and the method comprises the following steps: collecting spectral data of a current environment in real time; analyzing the solar energy conversion efficiency by using the spectral data, and calculating an electric energy value which can be used for regulation and control currently; analyzing the historical environment data and the historical regulation and control data of the user through a self-learning algorithm in combination with the usable electric energy value, and predicting the preference of the user; generating a glass color intelligent regulation and control scheme according to the user preference prediction result and the spectral data; based on a glass color intelligent regulation and control scheme, dynamic voltage is applied to each area through a distributed circuit, and color regulation and control are carried out. The current available electric energy value is calculated by embedding the multispectral sensor and combining the solar energy conversion efficiency, and meanwhile, the driving voltage of each region is dynamically calculated according to the user preference and the environmental spectral data, so that the problem of regulation and control deviation caused by material aging or uneven voltage distribution is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of electrochromic technology, and in particular to a color intelligent control method and system based on electrochromic glass. Background Art

[0002] As modern architecture and the automotive industry continue to increase their requirements for intelligence and energy saving, electrochromic glass technology has received widespread attention. However, traditional electrochromic glass control methods usually rely on preset fixed adjustment parameters or simple environmental feedback mechanisms, which are difficult to adapt to the ever-changing complex lighting and user personalized needs, resulting in unsatisfactory control effects.

[0003] Existing technologies have the following deficiencies in intelligent control: First, they lack a comprehensive analysis of environmental spectral data and rely only on light intensity or light information of a single wavelength, which makes it difficult to accurately reflect the actual environment's requirements for glass color and transmittance; second, they fail to optimize based on user historical preferences and real-time power constraints, and are unable to achieve a balance between user experience and energy efficiency. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a color intelligent control method based on electrochromic glass to solve the problem that the existing electrochromic glass technology cannot take into account complex environmental changes, user personalized needs and power utilization efficiency at the same time.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: In a first aspect, the present invention provides a color intelligent control method based on electrochromic glass, which includes collecting spectral data of the current environment in real time through a multi-spectral sensor embedded in the electrochromic glass; Use spectrum data to analyze solar energy conversion efficiency and calculate the current amount of electrical energy available for regulation; Combined with the available electric energy value, the self-learning algorithm analyzes historical environmental data and user historical control data to predict user preferences; Generate intelligent glass color control solutions based on user preference prediction results and spectral data; Based on the intelligent glass color control solution, dynamic voltage is applied to each area through a distributed circuit to control the color.

[0007] As a preferred solution of the color intelligent control method based on electrochromic glass of the present invention, wherein: the multi-spectral sensor includes an ultraviolet sensor, a visible light sensor, an infrared sensor, a light angle sensor, a thermal sensor and an ambient light sensor; The spectral data includes ultraviolet light intensity, visible light intensity, infrared light intensity, sunlight incident angle, ambient brightness and ambient temperature.

[0008] As a preferred solution of the color intelligent control method based on electrochromic glass of the present invention, the effective intensity of the incident light is calculated by using spectral data, which is expressed as: ; in, represents the effective intensity of incident light, It indicates the comprehensive value of ultraviolet light intensity, visible light intensity and infrared light intensity. Indicates the angle of incidence of sunlight.

[0009] As a preferred solution of the color intelligent control method based on electrochromic glass of the present invention, wherein: using the effective intensity of incident light, analyzing the solar energy conversion efficiency, and calculating the current electric energy value available for control, the method includes the following steps: Based on the effective intensity of the incident light, the conversion power per unit area is calculated and expressed as, ; in, represents the conversion power per unit area, Represents the average photoelectric conversion efficiency of the photovoltaic layer; Based on the conversion power per unit area, the total power generation is calculated and expressed as, ; in, represents the total power generation, represents the total effective area of ​​the photovoltaic layer; The total generated power is divided into two parts, one part is used for the glass drive unit, and the other part enters the energy storage unit; The electrical energy of the glass drive unit is expressed as, ; in, Indicates the electrical energy supplied to the glass drive unit. Indicates the electrical energy required for current electrochromic glass regulation; The electrical energy of the energy storage unit is expressed as, ; in, Indicates the electrical energy supplied to the energy storage unit.

[0010] As a preferred solution of the color intelligent control method based on electrochromic glass of the present invention, the method includes: combining the available electric energy value, analyzing the historical environment data and the user's historical control data through a self-learning algorithm, and predicting the user's preference, including the following steps: Collect the user's historical environment data and user's historical control data, and perform normalization processing; Based on the long short-term memory network, the user preference prediction model is obtained by inputting historical environment data and user historical control data for training; Input the user's historical control data and current environment data into the trained user preference prediction model, and output the user's target light transmittance and color depth change target; When the electric energy of the glass drive unit meets the control requirements of the target light transmittance and color change, the operation is performed normally; When the glass drive unit is short of power, the target light transmittance is reduced and the range of the color depth change target is adjusted.

[0011] As a preferred solution of the color intelligent control method based on electrochromic glass of the present invention, wherein: generating a glass color intelligent control solution according to the user preference prediction result and spectral data includes the following steps: According to the target transmittance and ambient light intensity, the driving voltage to be applied is calculated and expressed as: ; in, Indicates the driving voltage that needs to be applied, represents the photoelectric response coefficient of the electrochromic material, Indicates the target transmittance; According to the target color value, the voltage distribution of each area is calculated to achieve uniform color change, which is expressed as, ; in, represents the driving voltage of the corresponding area, represents the minimum driving voltage of the electrochromic material, represents the maximum driving voltage of the electrochromic material, Indicates the maximum value of brightness, Indicates the target brightness value, Represents the nonlinear tuning parameter of the response curve.

[0012] As a preferred solution of the color intelligent control method based on electrochromic glass of the present invention, wherein: based on the glass color intelligent control solution, dynamic voltage is applied to each area through a distributed circuit to control the color, including the following steps: Using a distributed circuit, the calculated driving voltage is applied to the electrochromic material of the glass; Use a light sensor to monitor the actual light transmittance of each area and compare it with the target light transmittance. When the deviation exceeds the allowable range of light transmittance, adjust the driving voltage to compensate for the deviation. A color sensor is used to detect the actual color value of each area and compare it with the target color. When the deviation exceeds the allowable color range, the voltage of the corresponding area is dynamically adjusted.

[0013] In a second aspect, the present invention provides a color intelligent control system based on electrochromic glass, including a multispectral data acquisition module, which is responsible for collecting the spectral data of the current environment in real time through a multispectral sensor embedded in the electrochromic glass; The electric energy calculation module is responsible for using spectral data to analyze the solar energy conversion efficiency and calculate the current electric energy value available for regulation; The user preference prediction module is responsible for combining the available electric energy value, analyzing historical environmental data and user historical control data through a self-learning algorithm, and predicting user preferences; Intelligent control scheme generation module, responsible for generating intelligent control schemes for glass color based on user preference prediction results and spectral data; The dynamic voltage distribution and control module is responsible for applying dynamic voltage to each area through distributed circuits to perform color control based on the intelligent glass color control solution.

[0014] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the color intelligent control method based on electrochromic glass as described in the first aspect of the present invention is implemented.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the method for intelligent color control based on electrochromic glass as described in the first aspect of the present invention is implemented.

[0016] The beneficial effects of the present invention are as follows: by embedding a multi-spectral sensor, real-time collection of environmental spectral data (including ultraviolet, visible light, infrared intensity and illumination angle, etc.), and combining the solar energy conversion efficiency to calculate the current available electric energy value, accurate energy management of electrochromic glass regulation is achieved. The AI ​​self-learning algorithm analyzes the user's historical regulation data and environmental data, predicts user preferences, and generates personalized glass color regulation solutions, effectively improving the user experience. At the same time, the driving voltage of each area is dynamically calculated according to user preferences and environmental spectral data, and distributed circuits are used for precise control. Interpolation algorithms and compensation voltage mechanisms are used to ensure the smoothness and uniformity of color changes, solving the problem of regulation deviation caused by material aging or uneven voltage distribution. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0018] Figure 1 This is a flow chart of the intelligent color control method based on electrochromic glass in Example 1.

[0019] Figure 2 Schematic diagram of the intelligent color control system based on electrochromic glass in Example 1. DETAILED DESCRIPTION

[0020] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0021] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0022] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0023] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a color intelligent control method based on electrochromic glass, comprising the following steps: S1. Using a multi-spectral sensor embedded in the electrochromic glass, the spectral data of the current environment is collected in real time, including the following steps: Multispectral sensors include UV sensors, visible light sensors, infrared sensors, light angle sensors, thermal sensors, and ambient light sensors; Spectral data include ultraviolet light intensity, visible light intensity, infrared light intensity, sunlight incident angle, ambient brightness and ambient temperature.

[0024] It should be noted that through multi-dimensional spectral data collection, environmental parameters that have a direct impact on the regulation of electrochromic glass can be accurately obtained, avoiding the problem of insufficient environmental information caused by the traditional single sensor collection method, and providing a detailed foundation for the calculation of solar energy conversion efficiency, user preference analysis and generation of intelligent control solutions in subsequent steps. At the same time, it can dynamically adapt to complex lighting environments, improve the comprehensiveness and real-time nature of environmental data collection, and provide accurate environmental input for glass intelligent regulation, thereby improving the system's response efficiency to environmental changes and the accuracy of regulation.

[0025] S2. Analyze the solar energy conversion efficiency using spectral data and calculate the current electric energy value available for regulation, including the following steps: Using the spectral data, the effective intensity of the incident light is calculated and expressed as, ; in, represents the effective intensity of incident light, It represents the combined value of ultraviolet light intensity (unit: mW / cm²), visible light intensity (unit: mW / cm² / nm) and infrared light intensity (unit: mW / cm²). Indicates the incident angle of sunlight (unit: degree).

[0026] Based on the effective intensity of the incident light, the conversion power per unit area is calculated and expressed as, ; in, represents the conversion power per unit area, It represents the average photoelectric conversion efficiency of the photovoltaic layer (unit: %), which is the average efficiency of the photovoltaic layer within the working wavelength range, expressed as , and They are the working wavelength range of the photovoltaic layer (such as 400-750nm), Indicates the wavelength of visible light The light intensity at The wavelength range is 380-750nm, which is the light intensity distribution of different wavelengths. Indicates the photoelectric conversion efficiency, which is the long interval that the photovoltaic layer can absorb and convert into electrical energy; Based on the conversion power per unit area, the total power generation is calculated and expressed as, ; in, represents the total power generation, Represents the total effective area of ​​the photovoltaic layer (unit: m²), which refers to the area of ​​the photovoltaic layer exposed to ambient light; The total power generation is divided into two parts, one part is used for the glass drive unit, which drives the color control of the electrochromic glass, and the other part goes into the energy storage unit, which stores the remaining power for future use; The electrical energy of the glass drive unit is expressed as, ; in, Indicates the power supplied to the glass drive unit (unit: W), Indicates the electric energy required for the current electrochromic glass regulation (unit: W), The value is determined by the current state and target state of the glass. If the glass needs to significantly change its transmittance or color depth, Higher, if the glass state is close to the target state, then Lower; When the total power When it is large enough, it will give priority to meeting the needs of the glass drive unit; when When the glass drive unit is in the state of being powered, all available power generation is first supplied to the glass drive unit; The electrical energy of the energy storage unit is expressed as, ; in, Indicates the electrical energy supplied to the energy storage unit (unit: W); when ,but , the energy storage unit cannot obtain electrical energy; when , the excess electrical energy is stored in the energy storage unit.

[0027] It should be noted that the effective intensity of incident light is calculated through spectral data, combined with the photoelectric conversion efficiency of the photovoltaic layer, the total power generation is further calculated, and the electric energy is reasonably allocated to the glass drive unit and the energy storage unit, realizing the refined management from environmental spectral data to electric energy distribution, ensuring the continuity and reliability of glass regulation, and maintaining basic functions through the priority allocation mechanism even in low light or high power consumption conditions. Through dynamic electric energy calculation and allocation, energy utilization efficiency is optimized, power waste or regulation interruption problems are avoided, and the energy saving and stability of the system are improved, providing sufficient and reliable electric energy support for subsequent regulation.

[0028] S3, combining the available electric energy value, analyzing the historical environment data and the user's historical control data through the self-learning algorithm, and predicting the user's preference, including the following steps: Collect the user's historical environment data and user's historical control data, and normalize them to adapt them to the input format of the long short-term memory network model; Based on the long short-term memory network, the user preference prediction model is obtained by inputting historical environmental data (such as real-time environmental parameters such as light intensity, indoor and outdoor temperature) and user historical control data (such as controlled transmittance and color change parameters) for training; Input the user's historical control data and current environment data into the trained user preference prediction model, and output the user's target light transmittance and color depth change target; It should be noted that the target light transmittance of the glass is automatically predicted based on the user's historical preferences and the current environment. For example, when the sunlight is strong, a lower light transmittance may be predicted to reduce glare, while at night, a higher light transmittance may be predicted to increase indoor lighting. The target value of the glass color is predicted to reflect the user's color preference. For example, on a sunny day, a light color (such as light blue) may be predicted to reduce heat absorption, and on a cloudy day, a dark color may be predicted to improve visual comfort. When the electric energy of the glass drive unit meets the control requirements of the target light transmittance and color change, the operation is performed normally; When the glass drive unit is short of power, the target light transmittance is appropriately reduced and the range of color depth change is adjusted.

[0029] It should be noted that by normalizing historical data and using the LSTM model to train a user preference prediction model, the glass transmittance and color changes can be automatically adjusted under different lighting and temperature conditions to meet the personalized needs of users. It can not only dynamically respond to real-time environmental changes, but also gradually optimize the control strategy through self-learning to improve user experience, especially in high-frequency usage scenarios, which can reduce the frequency of manual adjustments by users. It has achieved an intelligent upgrade from "passive response" to "active prediction", significantly improving the personalization of control and user satisfaction; at the same time, under the condition of insufficient electricity, the change range of the target value is adjusted to further achieve a balance between user experience and energy efficiency.

[0030] S4. Generate a glass color intelligent control scheme based on the user preference prediction results and spectral data, including the following steps: According to the target transmittance and ambient light intensity, the driving voltage to be applied is calculated to adjust the glass transmittance, which is expressed as: ; in, Indicates the driving voltage to be applied, It indicates the photoelectric response coefficient of the electrochromic material, in volts (V), obtained through experimental calibration. Indicates the target light transmittance in percentage (%); It should be noted that if the glass has a zoning control function (such as different zoning transmittances), the corresponding driving voltage is calculated for each zoning area. The maximum and minimum values ​​of the driving voltage are limited by the glass material to ensure that the driving voltage is within a safe range. If the calculated driving voltage exceeds the allowable range of the material, it is limited to the maximum or minimum value. According to the target color value, the voltage distribution of each area is calculated to achieve uniform color change, which is expressed as, ; in, Indicates the driving voltage of the corresponding area, in volts (V), Indicates the minimum driving voltage of the electrochromic material (corresponding to the maximum brightness, such as fully transparent state), Indicates the maximum driving voltage of the electrochromic material (corresponding to the minimum brightness of 0, such as completely opaque state), Indicates the maximum brightness, usually 255, corresponding to pure white. Indicates the target brightness value (converted from the target color, ranging from 0 to 255). ,in, , , are the values ​​of the red, green, and blue components (range 0-255), It represents the nonlinear adjustment parameter of the response curve. It is calibrated through experiments and usually has a value range of 1.0-3.0. is a linear relationship, It is a nonlinear relationship, and the color change response is steeper; the voltage transition between adjacent areas is calculated through an interpolation algorithm to ensure smooth and uniform color changes. If some areas have uneven responses due to material aging or environmental factors, a compensation voltage is provided.

[0031] It should be noted that the driving voltage to be applied is calculated based on the target transmittance and color value, combined with the ambient light intensity, and the voltage distribution is optimized through interpolation algorithms and compensation mechanisms. Accurate calculation and zoning control mechanisms improve the uniformity of glass transmittance and color changes, and are particularly suitable for electrochromic glass with zoning control functions, and are particularly outstanding in large-area application scenarios. Through the dynamic generation of intelligent control schemes, not only the precise matching of target transmittance and color is achieved, but also the problem of uneven control caused by material aging or environmental factors is solved, further improving the aesthetics and practicality of the glass.

[0032] S5. Based on the glass color intelligent control solution, dynamic voltage is applied to each area through a distributed circuit to control the color, including the following steps:

[0033] Using a distributed circuit, the calculated driving voltage is applied to the electrochromic material of the glass; Use a light sensor to monitor the actual light transmittance of each area and compare it with the target light transmittance. When the deviation exceeds the allowable range of light transmittance (such as 5%), adjust the driving voltage to compensate for the deviation. Use a color sensor to detect the actual color value of each area and compare it with the target color. When the deviation exceeds the color allowable range (such as 10 for RGB components), the voltage of the corresponding area is dynamically adjusted. Furthermore, the circuit operation status of each area is detected (such as whether there is a short circuit, open circuit or voltage abnormality). If an abnormal area is found, an alarm signal is recorded and issued, and the voltage application to the abnormal area is stopped. Combined with the ambient light intensity and temperature data, it is determined whether the target value needs to be dynamically adjusted (such as appropriately increasing the transmittance when the cloud cover is blocked or the ambient light changes).

[0034] It should be noted that the distributed circuit applies the driving voltage accurately, monitors the control effect through the light sensor and color sensor, and dynamically adjusts the voltage through the compensation mechanism when the deviation exceeds the allowable range; at the same time, through the abnormal detection functions such as short circuit and open circuit, the target value is automatically optimized in combination with the ambient light intensity. It realizes the refined control and dynamic compensation of the glass area, and ensures the reliability and safety of the control effect, especially in large areas of glass or complex lighting conditions, which can effectively avoid control failure or abnormal problems. The distributed dynamic voltage application and monitoring mechanism not only improves the accuracy and uniformity of glass control, but also enhances safety and stability, ensuring normal operation under various environmental conditions.

[0035] This embodiment also provides a color intelligent control system based on electrochromic glass, including: a multispectral data acquisition module, which is responsible for collecting the spectrum data of the current environment in real time through a multispectral sensor embedded in the electrochromic glass; The electric energy calculation module is responsible for using spectral data to analyze the solar energy conversion efficiency and calculate the current electric energy value available for regulation; The user preference prediction module is responsible for combining the available electric energy value, analyzing historical environmental data and user historical control data through a self-learning algorithm, and predicting user preferences; Intelligent control scheme generation module, responsible for generating intelligent control schemes for glass color based on user preference prediction results and spectral data; The dynamic voltage distribution and control module is responsible for applying dynamic voltage to each area through distributed circuits to perform color control based on the intelligent glass color control solution.

[0036] This embodiment also provides a computer device, which is suitable for the case of a color intelligent control method based on electrochromic glass, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the color intelligent control method based on electrochromic glass as proposed in the above embodiment.

[0037] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0038] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for realizing the intelligent color control method based on electrochromic glass proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, disk or optical disk.

[0039] In summary, the present invention achieves precise energy management of electrochromic glass regulation by: embedding a multi-spectral sensor, collecting environmental spectral data (including ultraviolet, visible light, infrared intensity and illumination angle, etc.) in real time, and calculating the current available electric energy value in combination with solar energy conversion efficiency. The AI ​​self-learning algorithm analyzes the user's historical control data and environmental data, predicts user preferences, and generates personalized glass color control solutions, effectively improving the user experience. At the same time, the driving voltage of each area is dynamically calculated according to user preferences and environmental spectral data, and distributed circuits are used for precise control. Interpolation algorithms and compensation voltage mechanisms are used to ensure the smoothness and uniformity of color changes, solving the problem of control deviation caused by material aging or uneven voltage distribution.

[0040] Example 2, referring to Table 1, Table 2 and Table 3, is the second example of the present invention. To further verify the technical solution of the present invention, experimental simulation data of the color intelligent control method based on electrochromic glass are provided.

[0041] This experiment aims to verify the performance advantages of electrochromic glass by embedding multi-spectral sensors to collect environmental spectral data in real time and intelligently adjust transmittance and color. The experiment is divided into an experimental group and a control group.

[0042] The control group used a single sensor (visible light sensor only) to collect environmental data, which failed to fully reflect the actual lighting conditions. It used a fixed algorithm to control the glass transmittance and color changes, and did not configure a dynamic zoning control function.

[0043] The experiment was conducted in a simulated environment laboratory, simulating three lighting conditions: sunny day (high light intensity, low incident angle), cloudy day (low light intensity, high incident angle), and overcast day (medium light intensity, dynamic incident angle). The experimental group and the control group were tested under the above conditions, and each group collected spectral data, calculated power generation and power distribution, and the actual transmittance and color change response effects. All experiments were repeated three times in a controlled environment to ensure the reliability of the results.

[0044] The experimental group adopted the electrochromic glass system of the present invention, which is embedded with ultraviolet sensors, visible light sensors, infrared sensors, ambient light sensors, light angle sensors and thermal sensors, and can collect multi-dimensional data such as ultraviolet intensity, visible light intensity, infrared intensity, sunlight incident angle, ambient brightness and temperature in real time.

[0045] The details are shown in Table 1 below: Table 1 condition UV intensity (mW / cm²) Visible light intensity (mW / cm² / nm) Infrared intensity (mW / cm²) Angle of incidence (°) Ambient brightness (Lux) Ambient temperature (°C) Sunny day-experimental group 2.8 1.9 3.5 30 86000 35 Sunny day-control group 1.3 1.3 - 30 86000 35 Cloudy day-experimental group 1.2 0.8 1.6 60 27000 22 Cloudy day-control group 0.5 0.5 - 60 27000 22 Multi-cloud-experimental group 2.1 1.4 2.7 45 59000 28 Cloudy-Control Group 1.0 1.0 - 45 59000 28 ; Based on the collected data, using the formula Calculate the effective intensity of incident light and combine it with the average photoelectric conversion efficiency of the photovoltaic layer , calculate the total power generation , achieving reasonable distribution of electric energy. In addition, the long short-term memory network (LSTM) in artificial intelligence is used to analyze user preferences and predict target transmittance and color changes. After the glass partition control scheme is generated, dynamic voltage is applied through the distributed circuit to control the color and transmittance.

[0046] Example of calculation of comprehensive light intensity (sunny day - experimental group): Assuming the visible light wavelength range ; ; Example of calculation of effective intensity of incident light (sunny day - experimental group): ; Calculation example of conversion power per unit area (Sunny day - experimental group): Assuming the conversion efficiency ; ; Example of calculation of total power generation (sunny day - experimental group): Assuming the photovoltaic layer area ; ; The data obtained from the experimental calculation are shown in Table 2 below: Table 2 condition Comprehensive light intensity (mW / cm²) Effective intensity of incident light (mW / cm²) Conversion power per unit area (W / m²) Total power generation (W) Sunny day-experimental group 709.3 614.3 2.15 43.0 Sunny day-control group 482.3 417.7 1.46 29.2 Cloudy day-experimental group 298.8 149.4 0.52 10.4 Cloudy day-control group 185.5 92.8 0.33 6.6 Multi-cloud-experimental group 522.8 369.5 1.29 25.8 Cloudy-Control Group 371.0 262.3 0.92 18.4 ; The calculation results in Table 2 were analyzed, the glass driving power and energy storage unit power were recorded, and the performance differences between the experimental group and the control group were summarized.

[0047] The details are shown in Table 3: Table 3 Item Total power generation (W) Driving power requirement (W) Glass drive power (W) Energy storage unit power (W) Sunny day-experimental group 43.0 30 30 13 Sunny day-control group 29.2 30 29.2 0 Cloudy day-experimental group 10.4 30 10.4 0 Cloudy day-control group 6.6 30 6.6 0 Multi-cloud-experimental group 25.8 30 25.8 0 Cloudy-Control Group 18.4 30 18.4 0 ; From the analysis of Table 3, we can see that: Under sunny conditions, the multispectral sensor of the experimental group captured the combined light intensity of ultraviolet light, visible light and infrared light, and the power generation efficiency was significantly higher than that of the control group, and energy storage was achieved ( ); Under cloudy conditions, due to the overall low light intensity, the power generation of the experimental and control groups dropped significantly, but the experimental group was still able to maintain basic driving functions, and the control group performed worse; Under cloudy conditions, the power generation of the experimental group was close to meeting the driving demand and performed better than the control group, which reflects the adaptability of the multispectral sensor under complex lighting conditions.

[0048] In summary, the present invention realizes precise energy management of electrochromic glass regulation by embedding multi-spectral sensors to collect environmental spectral data (including ultraviolet, visible light, infrared intensity and illumination angle, etc.) in real time, and calculating the current available electric energy value in combination with solar energy conversion efficiency. The self-learning algorithm analyzes the user's historical regulation data and environmental data, predicts user preferences, and generates personalized glass color regulation solutions, which effectively improves the user experience. At the same time, the driving voltage of each area is dynamically calculated according to user preferences and environmental spectral data, and distributed circuits are used for precise control. Interpolation algorithms and compensation voltage mechanisms are used to ensure the smoothness and uniformity of color changes, solving the problem of regulation deviation caused by material aging or uneven voltage distribution.

[0049] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A color intelligent control method based on electrochromic glass, characterized by: include, Through the multi-spectral sensor embedded in the electrochromic glass, the spectral data of the current environment is collected in real time; Use spectrum data to analyze solar energy conversion efficiency and calculate the current amount of electrical energy available for regulation; Combined with the available electric energy value, the self-learning algorithm analyzes historical environmental data and user historical control data to predict user preferences; Generate intelligent glass color control solutions based on user preference prediction results and spectral data; Based on the intelligent glass color control solution, dynamic voltage is applied to each area through a distributed circuit to control the color.

2. The color intelligent control method based on electrochromic glass according to claim 1, characterized in that: The multi-spectral sensor includes an ultraviolet sensor, a visible light sensor, an infrared sensor, a light angle sensor, a thermal sensor and an ambient light sensor; The spectral data includes ultraviolet light intensity, visible light intensity, infrared light intensity, sunlight incident angle, ambient brightness and ambient temperature.

3. The color intelligent control method based on electrochromic glass according to claim 2, characterized in that: Using the spectral data, the effective intensity of the incident light is calculated and expressed as, ； in, represents the effective intensity of incident light, It indicates the comprehensive value of ultraviolet light intensity, visible light intensity and infrared light intensity. Indicates the angle of incidence of sunlight.

4. The color intelligent control method based on electrochromic glass according to claim 3, characterized in that: Using the effective intensity of incident light, analyzing the solar energy conversion efficiency and calculating the current electric energy value available for regulation and use, includes the following steps: Based on the effective intensity of the incident light, the conversion power per unit area is calculated and expressed as, ； in, represents the conversion power per unit area, Represents the average photoelectric conversion efficiency of the photovoltaic layer; Based on the conversion power per unit area, the total power generation is calculated and expressed as, ； in, represents the total power generation, represents the total effective area of ​​the photovoltaic layer; The total generated power is divided into two parts, one part is used for the glass drive unit, and the other part enters the energy storage unit; The electrical energy of the glass drive unit is expressed as, ； in, Indicates the power supplied to the glass drive unit. Indicates the electrical energy required for current electrochromic glass regulation; The electrical energy of the energy storage unit is expressed as, ； in, Indicates the electrical energy supplied to the energy storage unit.

5. The color intelligent control method based on electrochromic glass according to claim 4, characterized in that: Combined with the available electric energy value, the historical environmental data and the user's historical control data are analyzed through a self-learning algorithm to predict user preferences, including the following steps: Collect the user's historical environment data and user's historical control data, and perform normalization processing; Based on the long short-term memory network, the user preference prediction model is obtained by inputting historical environment data and user historical control data for training; Input the user's historical control data and current environment data into the trained user preference prediction model, and output the user's target light transmittance and color depth change target; When the electric energy of the glass drive unit meets the control requirements of the target light transmittance and color change, the operation is performed normally; When the glass drive unit is short of power, the target light transmittance is reduced and the range of the color depth change target is adjusted.

6. The color intelligent control method based on electrochromic glass according to claim 5, characterized in that: According to the user preference prediction results and spectral data, an intelligent glass color control scheme is generated, including the following steps: According to the target transmittance and ambient light intensity, the driving voltage to be applied is calculated and expressed as: ； in, Indicates the driving voltage that needs to be applied, represents the photoelectric response coefficient of the electrochromic material, Indicates the target transmittance; According to the target color value, the voltage distribution of each area is calculated to achieve uniform color change, which is expressed as, ； in, represents the driving voltage of the corresponding area, represents the minimum driving voltage of the electrochromic material, represents the maximum driving voltage of the electrochromic material, Indicates the maximum value of brightness, Indicates the target brightness value, Represents the nonlinear tuning parameter of the response curve.

7. The color intelligent control method based on electrochromic glass according to claim 6, characterized in that: Based on the intelligent glass color control solution, dynamic voltage is applied to each area through a distributed circuit to control the color, including the following steps: Using a distributed circuit, the calculated driving voltage is applied to the electrochromic material of the glass; Use a light sensor to monitor the actual light transmittance of each area and compare it with the target light transmittance. When the deviation exceeds the allowable range of light transmittance, adjust the driving voltage to compensate for the deviation. A color sensor is used to detect the actual color value of each area and compare it with the target color. When the deviation exceeds the allowable color range, the voltage of the corresponding area is dynamically adjusted.

8. A color intelligent control system based on electrochromic glass, based on the color intelligent control method based on electrochromic glass according to any one of claims 1 to 7, characterized in that: include, The multispectral data acquisition module is responsible for collecting the spectral data of the current environment in real time through the multispectral sensor embedded in the electrochromic glass; The electric energy calculation module is responsible for using spectral data to analyze the solar energy conversion efficiency and calculate the current electric energy value available for regulation; The user preference prediction module is responsible for combining the available electric energy value, analyzing historical environmental data and user historical control data through a self-learning algorithm, and predicting user preferences; Intelligent control scheme generation module, responsible for generating intelligent control schemes for glass color based on user preference prediction results and spectral data; The dynamic voltage distribution and control module is responsible for applying dynamic voltage to each area through distributed circuits to perform color control based on the intelligent glass color control solution.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the color intelligent control method based on electrochromic glass according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the color intelligent control method based on electrochromic glass according to any one of claims 1 to 7 are implemented.

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