Sun-shading device based on thermotropic dimming glass and control method of sun-shading device

Abstract

The invention relates to the technical field of environment-friendly buildings, in particular to a sun-shading device based on thermotropic dimming glass, which comprises inner-layer glass, outer-layer glass, a sun-shading assembly, an adjusting bracket, an inverter assembly and a main control unit, the inner-layer glass and the outer-layer glass are arranged in parallel and form a mounting cavity, the sun-shading assembly and the adjusting bracket are both arranged in the mounting cavity, and the inverter assembly is arranged in the mounting cavity. The sun-shading assembly comprises a plurality of solar panels and a plurality of pieces of thermotropic dimming glass, the solar panels correspond to the thermotropic dimming glass in number one to one, the thermotropic dimming glass is installed on the backlight faces of the solar panels, the sun-shading assembly is installed on the adjusting support, and the adjusting support is provided with a plurality of electric control adjusting pieces. The electric control adjusting part is connected with the solar panel and used for adjusting the rotation angle of the solar panel, the inverter assembly is electrically connected with the solar panel and used for converting solar energy received by the solar panel into electric energy, and the main control unit is electrically connected with the electric control adjusting part and the inverter assembly. The method has the effect of improving the living comfort of the house.

Description

Technical Field

[0001] The present invention relates to the technical field of environmentally friendly buildings, and in particular to a sunshade device based on thermo-dimming glass and a control method thereof. Background Art

[0002] With the continuous changes in energy conservation and emission reduction, economic development and industry technology, building shading, as a key technology in environmentally friendly buildings, is one of the simplest and most effective building energy-saving measures. A reasonably set shading system conforms to the characteristics of the building and the requirements of the environment, and can maximize the efficiency of the shading system, thereby achieving multiple effects of energy conservation and living comfort.

[0003] Currently, most shading systems are equipped with solar panels for receiving and recycling solar energy to improve building energy efficiency. However, the solar panels in existing shading systems are difficult to adjust themselves and passively receive sunlight, making it difficult to maximize the utilization of solar energy from sunlight. They are also difficult to regulate indoor thermal radiation, which reduces the comfort of living in the house. Therefore, improvement is needed. Summary of the invention

[0004] In order to improve the living comfort of a house, the present application provides a sunshade device based on thermotropic dimming glass and a control method thereof.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions: A sunshade device based on thermotropic dimming glass, the device comprises an inner layer of glass, an outer layer of glass, a sunshade assembly, an adjustment bracket, an inverter assembly and a main control unit, the inner layer of glass and the outer layer of glass are arranged in parallel to form an installation cavity, the sunshade assembly and the adjustment bracket are both arranged in the installation cavity, the sunshade assembly comprises a plurality of solar panels and a plurality of thermotropic dimming glasses, the number of the solar panels and the number of the thermotropic dimming glasses correspond to each other, the thermotropic dimming glasses are installed on the backlight surface of the solar panel, and the light-facing surface of the solar panel is arranged toward the outside of the building, the sunshade assembly is installed on the adjustment bracket, the adjustment bracket is provided with a plurality of electric control adjustment parts, the electric control adjustment parts are connected to the solar panel, the electric control adjustment parts are used to adjust the rotation angle of the solar panel, the inverter assembly is electrically connected to the solar panel, the inverter assembly is used to convert the solar energy received by the solar panel into electrical energy, and the main control unit is electrically connected to the electric control adjustment parts and the inverter assembly, and is used to control the operation of the electric control adjustment parts and the inverter assembly.

[0006] By adopting the above technical solution, the thermo-sensitive dimming glass can automatically adjust its light transmittance according to temperature changes. In a colder environment, the thermo-sensitive dimming glass can remain transparent, allowing more sunlight to enter the room to provide natural lighting and help keep the room warm. When the temperature rises, the color-changing function of the glass will reduce the transmittance of sunlight, reduce the rise in indoor temperature, and reduce the need for the use of cold air or air conditioning. The main control unit adjusts the solar panels according to the sunlight to improve the utilization rate of solar energy and improve the energy-saving efficiency of the house.

[0007] Preferably, the output end of the inverter assembly is electrically connected to a temperature control switch, the other end of the temperature control switch is connected to a temperature control device for heating and cooling, the temperature control device is installed on the surface of the thermotropic dimming glass, and the temperature control device is used to adjust the temperature of the thermotropic dimming glass to control the transmittance of the thermotropic dimming glass.

[0008] By adopting the above technical solution, the thermotropic dimming glass is intervened, the temperature of the thermotropic dimming glass is adjusted according to the required light transmittance, the intelligence of the shading device is improved, and the comfort of living in the house is improved.

[0009] Preferably, the output end of the inverter assembly is electrically connected to a solar heat pump hot water assembly, and the solar heat pump hot water assembly includes a compressor, a plate heat exchanger and an electronic expansion valve. The compressor, the plate heat exchanger and the electronic expansion valve are all electrically connected to the inverter assembly, and the compressor, the plate heat exchanger and the electronic expansion valve are connected in sequence, and the air outlet of the electronic expansion valve is used to supply air to the solar panel.

[0010] By adopting the above technical solution, the solar heat pump hot water component cools the solar panels and converts the electrical energy converted from solar energy into thermal energy to meet the demand for hot water, thereby improving energy utilization and the comfort of living in the house.

[0011] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions: A control method for a sunshade device based on thermo-sensitive dimming glass, the method comprising the following steps: Acquire ambient lighting data, the ambient lighting data including light intensity and light angle, and generate an optimal light angle according to the ambient lighting data; Acquire real-time angle data of the solar panel, and generate a first adjustment strategy according to the optimal angle facing the sun, wherein the first adjustment strategy is used to adjust the solar panel to better absorb solar energy and improve the conversion efficiency of the solar panel; Acquire ambient temperature data and indoor temperature data, and generate a second adjustment strategy based on preset optimal indoor temperature data, wherein the second adjustment strategy includes the light transmittance of the thermo-sensitive dimming glass, and the open and closed states of the inner glass and the outer glass, and the second adjustment strategy is used to adjust the temperature adjustment efficiency of the shading device; Generate an adjustment plan to be confirmed based on the first adjustment strategy and the second adjustment strategy, wherein the adjustment plan to be confirmed is used to be pushed to the user end and wait for user confirmation, wherein the adjustment plan to be confirmed includes the expected conversion efficiency of the solar panel, the expected indoor temperature adjustment efficiency, the expected indoor temperature, and the adjustment time required for the expected indoor temperature; If the user confirms the adjustment scheme to be confirmed, the sunshade device is adjusted and controlled based on the adjustment scheme to be confirmed; If the user does not confirm the adjustment plan to be confirmed, the user-defined plan is obtained, and the sunshade device is adjusted and controlled based on the customized plan.

[0012] By adopting the above technical scheme, the optimal light-facing angle of each solar panel is generated according to the ambient light data, and the first adjustment strategy is generated according to the real-time angle data of the solar panel, so as to accurately control the adjustment angle of the solar panel to improve the conversion efficiency of the solar panel. At the same time, the second adjustment strategy is generated based on the ambient temperature data and the indoor temperature data to adjust the temperature adjustment efficiency of the shading device and adjust the indoor environment in multiple dimensions. By generating an adjustment plan to be confirmed and adjusting and controlling the shading device according to the user's confirmation or customized plan, the method of the present invention provides a more intelligent, personalized and efficient shading device control method. Compared with the prior art, the method of the present invention can better adapt to different light and temperature conditions, improve the conversion efficiency of the solar panel, and at the same time provide a more comfortable and satisfactory indoor temperature adjustment effect, thereby improving the comfort of living in the house.

[0013] In a preferred example, the present application can be further configured as follows: in the step of obtaining ambient lighting data, the ambient lighting data including lighting intensity and light angle, and generating an optimal light angle according to the ambient lighting data, the steps are as follows: Obtain the light source information received by the solar panel and analyze the number and location of the light source; Based on the light source information and taking the center of the solar panel as the receiving center point, the real-time light irradiation angle of each solar panel is generated, wherein the straight line formed by the light source position and the receiving center point is the straight line L, the panel surface of the solar panel is the plane a, the angle formed by the straight line L and the plane a is α, and the light irradiation angle is α; When plane a is perpendicular to straight line L, that is, the light irradiation angle α is 90°, it is the optimal light-facing state of the solar panel. The angle formed by the panel surface when the solar panel is in the optimal light-facing state and the panel surface when the solar panel is in the initial state is the optimal light-facing angle.

[0014] By adopting the above technical solution, calculation and analysis are performed to determine the optimal angle of each solar panel facing the sun, that is, the angle at which the solar panel can most effectively absorb solar energy, thereby improving the control accuracy of the solar panel and increasing the utilization rate of solar energy.

[0015] In a preferred example, the present application can be further configured as follows: after obtaining the ambient temperature data and the indoor temperature data, a second adjustment strategy is generated based on the preset optimal indoor temperature data, wherein the second adjustment strategy includes the light transmittance of the thermo-sensitive dimming glass, and the open and closed states of the inner glass and the outer glass, and the second adjustment strategy is used in the step of adjusting the temperature adjustment efficiency of the sunshade device, and includes the following steps: Compare the ambient temperature data with the indoor temperature data to calculate a temperature difference value, wherein the temperature difference value is calculated by the following formula: temperature difference value = ambient temperature - indoor temperature, and record the temperature difference value based on a timestamp; Calculating the indoor temperature change efficiency based on the indoor temperature data, and establishing a mapping relationship between the indoor temperature change efficiency and the temperature difference value based on a timestamp to construct a temperature change-temperature difference data set; Inputting the temperature change-temperature difference data set into a preset temperature change analysis model, wherein the temperature change analysis model generates a first temperature factor based on a machine algorithm, wherein the first temperature factor is used to represent the indoor temperature change efficiency corresponding to different temperature difference values; The preset indoor temperature prediction model generates an expected indoor temperature corresponding to a certain time based on the first temperature factor.

[0016] By adopting the above technical solution, based on the first temperature factor, the expected indoor temperature change at a certain time point in the future when there is a certain temperature difference between the ambient temperature and the indoor temperature is predicted. By predicting the indoor temperature, the transmittance of the thermo-dimming glass and the opening and closing states of the inner glass and the outer glass are more accurately adjusted according to the ambient temperature and the temperature difference, thereby improving the temperature regulation efficiency of the shading device, thereby improving indoor comfort and saving energy consumption.

[0017] In a preferred example, the present application may be further configured as follows: after the temperature change-temperature difference data set is input into a preset temperature change analysis model, and the temperature change analysis model generates a first temperature factor based on a machine algorithm, the following steps are included: Record the indoor temperature change efficiency of thermo-sensitive dimming glass at different transmittances to construct a temperature change-transmittance data set; Inputting the temperature change-transmittance data set into the temperature change analysis model, the temperature change analysis model generates a transmittance factor based on a machine algorithm, and the transmittance factor is used to represent the indoor temperature change efficiency corresponding to different transmittances of different thermo-sensitive dimming glasses; The corresponding transmittance factor is calculated based on the preset expected temperature change efficiency, and the transmittance of the thermotropic dimming glass is determined based on the transmittance factor.

[0018] By adopting the above technical solution and generating a transmittance factor, the system can more accurately predict the indoor temperature change efficiency corresponding to different transmittances of thermo-dimming glass, providing a more accurate basis for subsequent temperature adjustment strategies.

[0019] In a preferred example, the present application can be further configured as follows: when the plane a is perpendicular to the straight line L, that is, the light irradiation angle α is 90° as the optimal light-facing state of the solar panel, and the angle formed by the panel surface of the solar panel when it is in the optimal light-facing state and the panel surface of the solar panel when it is in the initial state is taken as the optimal light-facing angle, the following steps are included: Recording historical light source information, and inputting the historical light source information into a preset light source analysis model for analysis to generate a light source portrait; Acquire weather forecast information and input it into a preset light source prediction model, wherein the light source prediction model generates first predicted light source information corresponding to the weather forecast information based on the light source image; The light source prediction model modifies the first predicted light source information according to the real time and based on the light source portrait to generate second predicted light source information; A predicted optimal light-facing angle is generated based on the second predicted light source information, and the predicted optimal light-facing angle is used to generate a predicted adjustment strategy.

[0020] By adopting the above technical solution, as time goes by, the system updates the weather and lighting data in real time, and makes corrections based on historical light source information to generate second predicted light source information. If the weather forecast changes or the actual lighting deviates significantly from the prediction, the light source prediction model can correct the first predicted light source information based on real-time data to generate more accurate second predicted light source information. By correcting the light source prediction information in real time, the future light source conditions can be predicted more accurately, thereby improving the accuracy and practicality of the light source prediction.

[0021] In a preferred example, the present application can be further configured as follows: if the user does not confirm the adjustment scheme to be confirmed, then the user-defined scheme is obtained, and the sunshade device is adjusted and controlled based on the customized scheme, including the following steps: Prompt the user to generate a custom plan and provide adjustment and customization options; Generate a user preference mode and a customization scheme according to the customization options; A corresponding custom adjustment strategy is generated according to the custom options in the custom scheme, and the sunshade device is adjusted and controlled according to the custom adjustment strategy.

[0022] By adopting the above technical solution, the system generates corresponding custom adjustment strategies according to the custom options in the custom solution. For example, according to the custom options selected by the user, the system generates an adjustment strategy that requires the light transmittance of the sunshade device to be adjusted to 50% and the inner glass to be kept closed. The system performs corresponding adjustment control on the sunshade device according to these strategies. By generating a custom adjustment strategy according to the custom options in the custom solution and adjusting and controlling the sunshade device, the system can achieve personalized temperature adjustment, meet the specific needs of users, and improve indoor comfort and user experience.

[0023] In a preferred example, the present application can be further configured as follows: the machine learning algorithm of the temperature change analysis model includes a neural network algorithm and a regression analysis algorithm.

[0024] By adopting the above technical solutions, the neural network algorithm is suitable for processing complex nonlinear relationships and large-scale data, can learn from the data and discover hidden patterns and laws, and has robustness and generalization capabilities. The linear regression algorithm provides better model interpretability, can clearly reveal the degree and direction of the influence of independent variables on dependent variables, has high computational efficiency and is suitable for simple linear relationship modeling. Therefore, in this solution, according to data characteristics, problem complexity and prediction requirements, neural network algorithms and linear regression algorithms are used to obtain better results and improve the effect of data processing.

[0025] In summary, the present application includes at least one of the following beneficial technical effects: 1. Thermo-dimming glass can automatically adjust its light transmittance according to temperature changes. In a cold environment, the thermo-dimming glass can remain transparent, allowing more sunlight to enter the room to provide natural lighting and help keep the room warm. When the temperature rises, the color-changing function of the glass will reduce the transmittance of sunlight, reduce the rise in indoor temperature, and reduce the need for cooling or air conditioning. The main control unit adjusts the solar panels according to the sunlight to improve the utilization rate of solar energy and improve the energy-saving efficiency of the house. 2. Generate the optimal light-facing angle of each solar panel according to the ambient light data, and generate the first adjustment strategy according to the real-time angle data of the solar panel, so as to accurately control the adjustment angle of the solar panel to improve the conversion efficiency of the solar panel. At the same time, generate the second adjustment strategy based on the ambient temperature data and the indoor temperature data to adjust the temperature adjustment efficiency of the shading device, adjust the indoor environment in multiple dimensions, and adjust and control the shading device according to the user's confirmation or customized plan by generating an adjustment plan to be confirmed. The method of the present invention provides a more intelligent, personalized and efficient shading device control method. Compared with the prior art, the method of the present invention can better adapt to different light and temperature conditions, improve the conversion efficiency of the solar panel, and provide a more comfortable and satisfactory indoor temperature adjustment effect, thereby improving the comfort of living in the house. 3. As time goes by, the system updates the weather and light data in real time, and makes corrections based on historical light source information to generate the second predicted light source information. If the weather forecast changes or the actual light deviates greatly from the forecast, the light source prediction model can correct the first predicted light source information based on real-time data to generate more accurate second predicted light source information. By correcting the light source prediction information in real time, the future light source situation can be predicted more accurately, thereby improving the accuracy and practicality of light source prediction. 4. The system generates corresponding custom adjustment strategies based on the custom options in the custom scheme. For example, based on the custom options selected by the user, the system generates an adjustment strategy that requires the light transmittance of the sunshade device to be adjusted to 50% and the inner glass to remain closed. The system adjusts and controls the sunshade device accordingly based on these strategies. By generating custom adjustment strategies based on the custom options in the custom scheme and adjusting and controlling the sunshade device, the system can achieve personalized temperature adjustment to meet the specific needs of users and improve indoor comfort and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is an overall schematic diagram of a sunshade device based on thermo-sensitive dimming glass in one embodiment of the present application; Figure 2 is a schematic diagram of a solar panel in a sunshade device based on thermo-sensitive dimming glass in one embodiment of the present application; Figure 3 It is a schematic diagram of a pipeline of a solar heat pump hot water component in a sunshade device based on thermo-dimming glass in one embodiment of the present application; Figure 4 It is a schematic diagram of the steps of a sunshade device control method based on thermotropic dimming glass in one embodiment of the present application. Attached photos

[0027] 1. Outer glass; 2. Inner glass; 3. Adjustment bracket; 4. Solar panel; 5. Inverter; 6. Light sensor; 7. Temperature sensor; 8. Compressor; 9. Plate heat exchanger; 10. Electronic expansion valve; 11. Water pump; 12. Electric valve; 13. Solar panel assembly; 14. Thermochromic glass. DETAILED DESCRIPTION

[0028] The present application is further described in detail below in conjunction with the accompanying drawings.

[0029] In one embodiment, a sunshade device based on thermo-sensitive dimming glass is provided, such as Figure 1-3 As shown, the sunshade device based on thermo-sensitive dimming glass includes an inner glass 2, an outer glass 1, a sunshade assembly, an adjustment bracket 3, an inverter 5 assembly and a main control unit (not shown in the figure), the inner glass 2 and the outer glass 1 are arranged in parallel to form an installation cavity, the sunshade assembly and the adjustment bracket 3 are both arranged in the installation cavity, the sunshade assembly includes a plurality of solar panels 4 and a plurality of thermo-sensitive dimming glasses, the number of the solar panels 4 and the number of the thermo-sensitive dimming glasses correspond one to one, the thermo-sensitive dimming glass is installed on the backlight surface of the solar panel 4, and the light-facing surface of the solar panel 4 is arranged toward the outside of the building, The sunshade assembly is installed on the adjustment bracket 3, and the adjustment bracket 3 is provided with a plurality of electrically controlled adjustment parts, and the electrically controlled adjustment parts are connected to the solar panel, and the electrically controlled adjustment parts are used to adjust the rotation angle of the solar panel, and the inverter 5 assembly is electrically connected to the solar panel 4, and the inverter 5 assembly is used to convert the solar energy received by the solar panel 4 into electrical energy, and the main control unit is electrically connected to the electrically controlled adjustment parts and the inverter 5 assembly, and the main control unit is used to control the operation of the electrically controlled adjustment parts and the inverter 5 assembly, and the main control unit is provided with a storage medium to store the control method of the sunshade device.

[0030] In the embodiment of the present application, the inner layer of glass 2 and the outer layer of glass 1 are both composed of several glasses, among which, according to the design requirements, some of the glasses are provided with electric switches for opening the inner layer of glass 2 and the outer layer of glass 1 through electronic control, so that the indoor and outdoor are connected, and the electric control adjustment part is used to adjust the direction of the solar panel 4, so that the solar panel 4 has a rotatable function to adjust the direction according to the illumination of the light source, thereby improving the effective utilization rate of solar energy. In the embodiment of the present application, the gap between the inner layer of glass 2 and the outer layer of glass 1 is greater than the length of a single solar panel 4, so that the adjustment angle of the solar panel 4 is 0°-90°.

[0031] It should be noted that, in the embodiment of the present application, the output end of the inverter 5 component is electrically connected to a temperature control switch, and the other end of the temperature control switch is connected to a temperature control device for heating and cooling, and the temperature control device is installed on the surface of the thermotropic dimming glass. The temperature control device is used to adjust the temperature of the thermotropic dimming glass to control the transmittance of the thermotropic dimming glass.

[0032] The output end of the inverter 5 component is also electrically connected to a solar heat pump hot water component, which includes a compressor 8, a plate heat exchanger 9 and an electronic expansion valve 10. The compressor 8, the plate heat exchanger 9 and the electronic expansion valve 10 are all electrically connected to the inverter 5 component. The compressor 8, the plate heat exchanger 9 and the electronic expansion valve 10 are connected in sequence, and the air outlet of the electronic expansion valve 10 is used to supply air to the solar panel.

[0033] The specific working principle is as follows: the low-temperature and low-pressure gaseous refrigerant is compressed by the compressor 8 into a high-temperature and high-pressure gaseous refrigerant, the high-temperature and high-pressure gaseous refrigerant enters the plate heat exchanger 9 and releases heat into the hot water system, the high-temperature and high-pressure gaseous refrigerant is then condensed into a medium-temperature and high-pressure liquid refrigerant, the medium-temperature and high-pressure liquid refrigerant enters the electronic expansion valve 10 and is throttled into a low-temperature and low-pressure gas-liquid two-phase refrigerant, the low-temperature and low-pressure gas-liquid two-phase refrigerant then enters the solar panel 4, and the gas-liquid two-phase refrigerant absorbs the heat energy of the outside air and is evaporated into a gaseous refrigerant, and finally enters the air intake of the compressor 8. Driven by the water pump 11, the hot water enters the plate heat exchanger 9 to absorb heat, and is continuously heated in this cycle. The solar panel 4 can also convert the absorbed heat energy into electrical energy through the inverter 5.

[0034] In one embodiment, if Figure 4 As shown, the present application discloses a method for controlling a sunshade device based on thermo-sensitive dimming glass, which specifically includes the following steps: S10: Acquire ambient lighting data, wherein the ambient lighting data includes light intensity and light irradiation angle, and generate an optimal light-facing angle according to the ambient lighting data; S20: Acquire real-time angle data of the solar panel, and generate a first adjustment strategy according to the optimal angle of facing the sun, wherein the first adjustment strategy is used to adjust the solar panel to better absorb solar energy and improve the conversion efficiency of the solar panel; S30: Acquire ambient temperature data and indoor temperature data, and generate a second adjustment strategy based on preset optimal indoor temperature data, wherein the second adjustment strategy includes the light transmittance of the thermo-sensitive dimming glass, and the open and closed states of the inner glass and the outer glass, and the second adjustment strategy is used to adjust the temperature adjustment efficiency of the shading device; Specifically, assume that the ambient temperature data is 30°C and the indoor temperature data is 25°C. According to the preset optimal indoor temperature data, in the embodiment of the present application, it is set to 22°C, thereby determining the second adjustment strategy. According to the temperature difference, it is judged that the indoor temperature is high and needs to be cooled. Based on this, the second adjustment strategy may include the following control measures: Transmittance adjustment of thermo-sensitive dimming glass: According to the high indoor temperature, thermo-sensitive dimming glass can adjust the transmittance so that less solar energy is received indoors, reducing the rate of increase of indoor temperature.

[0035] Adjustment of the opening and closing state of the inner and outer glass: According to the high indoor temperature, the system can automatically control the opening and closing state of the inner and outer glass. For example, the outer glass can be opened to increase ventilation, promote indoor air circulation, and reduce indoor temperature.

[0036] By generating the second adjustment strategy based on the ambient temperature data and the indoor temperature data, the sunshade device can be flexibly adjusted according to the actual temperature conditions to achieve the best indoor temperature adjustment effect. By adjusting the light transmittance of the thermo-dimming glass and the opening and closing states of the inner and outer glass, the entry of solar energy and the circulation of indoor air can be controlled, thereby adjusting the indoor temperature. This can improve indoor comfort, save energy, and improve the temperature adjustment efficiency of the sunshade device.

[0037] S40: generating an adjustment plan to be confirmed based on the first adjustment strategy and the second adjustment strategy, wherein the adjustment plan to be confirmed is used to be pushed to the user end and wait for user confirmation, wherein the adjustment plan to be confirmed includes the expected conversion efficiency of the solar panel, the expected indoor temperature adjustment efficiency, the expected indoor temperature, and the adjustment time required for the expected indoor temperature; Specifically, by generating adjustment plans to be confirmed and waiting for user confirmation, interaction and participation with users can be achieved, ensuring user satisfaction with the adjustment plans and improving user living experience. At the same time, the adjustment plans to be confirmed provide expected information on solar panel conversion efficiency, indoor temperature adjustment efficiency and adjustment time, so that users can better understand and master the performance of the system.

[0038] S50: If the user confirms the adjustment scheme to be confirmed, the sunshade device is adjusted and controlled based on the adjustment scheme to be confirmed; S60: If the user does not confirm the adjustment plan to be confirmed, a user-defined plan prepared by the user is obtained, and the sunshade device is adjusted and controlled based on the user-defined plan.

[0039] The control method of the present invention generates the optimal light-facing angle of each solar panel according to the ambient light data, and generates a first adjustment strategy according to the real-time angle data of the solar panel, so as to accurately control the adjustment angle of the solar panel to improve the conversion efficiency of the solar panel. At the same time, a second adjustment strategy is generated based on the ambient temperature data and the indoor temperature data to adjust the temperature adjustment efficiency of the shading device, adjust the indoor environment in multiple dimensions, and adjust the shading device according to the user's confirmation or customized plan by generating an adjustment plan to be confirmed. The method of the present invention provides a more intelligent, personalized and efficient shading device control method. Compared with the prior art, the method of the present invention can better adapt to different light and temperature conditions, improve the conversion efficiency of the solar panel, and provide a more comfortable and satisfactory indoor temperature adjustment effect.

[0040] In step S10: obtaining ambient lighting data, the ambient lighting data including lighting intensity and light irradiation angle, and generating an optimal light-facing angle according to the ambient lighting data: S11: Obtaining light source information received by the solar panel and analyzing the number and position of the light sources; In the embodiment of the present application, the sun is used as the only light source, and the number of light sources is 1. The current sun position and lighting conditions (whether it is cloudy or whether there is haze) are judged based on the ambient lighting data. The optimal angle to face the light is determined through calculation and analysis, that is, the angle at which the solar panel can most effectively absorb solar energy. In other embodiments, the solar panel may not only receive sunlight as the only light source, but also other light sources, and light analysis is performed on multiple light sources in combination.

[0041] It should be noted that in actual applications, due to the presence of other buildings around the building, the light conditions outside the building are not uniform, that is, the light source information received by the surface of each solar panel is different. Some solar panels are blocked or reflected by surrounding buildings, resulting in different light source information from other solar panels. In this step, a specific analysis is performed based on the situation of each solar panel to improve the degree to which the solar panel receives solar energy, that is, to improve the overall effective utilization rate of the solar panel. Compared with the existing method of directly adjusting the solar panel based on the light conditions of the building's exterior wall, this solution adjusts each solar panel to improve the utilization rate of solar energy. The optimal light-facing angle is further described in the embodiments of the present application: S12: Based on the light source information and taking the center of the solar panel as the receiving center point, a real-time light irradiation angle of each solar panel is generated, wherein the straight line formed by the light source position and the receiving center point is the straight line L, the panel surface of the solar panel is the plane a, the angle formed by the straight line L and the plane a is α, and the light irradiation angle is α; S13: When plane a is perpendicular to straight line L, that is, the light irradiation angle α is 90°, it is regarded as the optimal light-facing state of the solar panel. The angle formed by the panel surface when the solar panel is in the optimal light-facing state and the panel surface when the solar panel is in the initial state is regarded as the optimal light-facing angle.

[0042] After S13: when plane a is perpendicular to line L, that is, the light irradiation angle α is 90° as the optimal light-facing state of the solar panel, the angle formed by the panel surface of the solar panel in the optimal light-facing state and the panel surface of the solar panel in the initial state is taken as the optimal light-facing angle, the following steps are included: S131: Recording historical light source information, and inputting the historical light source information into a preset light source analysis model for analysis to generate a light source portrait; Specifically, historical light source information includes data such as light intensity and spectral distribution at different time points in the past. These data are input into the pre-set light source analysis model. The model can generate a light source portrait by analyzing the historical light source information, including the light source's changing trend, periodic changes and other characteristics.

[0043] By recording and analyzing historical light source information, the generated light source portrait can help better understand the characteristics and changing patterns of the light source, thereby providing a more accurate basis for subsequent light source prediction and adjustment.

[0044] S132: Acquire weather forecast information and input it into a preset light source prediction model, wherein the light source prediction model generates first predicted light source information corresponding to the weather forecast information based on the light source image; Specifically, weather forecast information for a period of time in the future, including sunlight intensity, cloud cover, etc., is obtained, and this information is input into the light source prediction model. Based on the light source portrait of historical light source information, the light source prediction model can generate first predicted light source information corresponding to the weather forecast information, that is, the light source conditions inferred according to the weather forecast. Combining weather forecast information and historical light source information, the generated first predicted light source information can help the system better predict future light source changes and provide a more reliable prediction basis for subsequent adjustment strategies. S133: the light source prediction model modifies the first predicted light source information according to the real time and based on the light source portrait to generate second predicted light source information; Specifically, as time goes by, the system updates the weather and lighting data in real time, and makes corrections based on historical light source information to generate second predicted light source information. If the weather forecast changes or the actual lighting deviates significantly from the prediction, the light source prediction model can correct the first predicted light source information based on real-time data to generate more accurate second predicted light source information. By correcting the light source prediction information in real time, it can more accurately predict future light source conditions, thereby improving the accuracy and practicality of light source prediction.

[0045] S134: generating a predicted optimal light angle based on the second predicted light source information, wherein the predicted optimal light angle is used to generate a predicted adjustment strategy; Specifically, based on the second predicted light source information, the predicted optimal light-facing angle, that is, the optimal angle of sunlight exposure, is calculated. This angle will be used to generate subsequent predictive adjustment strategies to adjust shading devices, solar panels and other equipment to obtain the best energy collection effect or indoor comfort.

[0046] In S30: obtaining ambient temperature data and indoor temperature data, and generating a second adjustment strategy based on the preset optimal indoor temperature data, wherein the second adjustment strategy includes the light transmittance of the thermo-sensitive dimming glass, and the open and closed states of the inner glass and the outer glass, and the second adjustment strategy is used in the step of adjusting the temperature adjustment efficiency of the sunshade device, and includes the following steps: S31: Compare the ambient temperature data and the indoor temperature data to calculate a temperature difference value, wherein the temperature difference value is calculated by the following formula: temperature difference value = ambient temperature - indoor temperature, and record the temperature difference value based on a timestamp; Specifically, assuming that the ambient temperature is 28 degrees Celsius and the indoor temperature is 25 degrees Celsius, then according to the calculation formula, the temperature difference is 3 degrees Celsius. Record this temperature difference and record it with the timestamp. It should be noted that in the embodiment of the present application, the temperature difference is a vector value. If the temperature difference is a positive number, the ambient temperature is higher than the indoor temperature. If the temperature difference is a negative number, the ambient temperature is lower than the indoor temperature.

[0047] S32: calculating the indoor temperature change efficiency based on the indoor temperature data, and establishing a mapping relationship between the indoor temperature change efficiency and the temperature difference value based on a timestamp, so as to construct a temperature change-temperature difference data set; Specifically, by analyzing the indoor temperature data, the indoor temperature change efficiency is calculated, such as the rate at which the indoor temperature rises or falls within one hour. The system maps these data with the corresponding temperature difference values ​​and constructs a temperature change-temperature difference data set. For example, at a temperature difference of 3 degrees Celsius, the rate at which the indoor temperature rises or falls is 0.5 degrees Celsius per hour. By constructing a temperature change-temperature difference data set, we can better understand the influence of temperature difference on the indoor temperature change efficiency and provide data support for subsequent temperature adjustment.

[0048] S33: inputting the temperature change-temperature difference data set into a preset temperature change analysis model, wherein the temperature change analysis model generates a first temperature factor based on a machine algorithm, wherein the first temperature factor is used to represent the indoor temperature change efficiency corresponding to different temperature difference values; Specifically, the temperature change-temperature difference data set is input into the preset temperature change analysis model, which analyzes the data set based on the machine learning algorithm and generates the first temperature factor. For example, when the temperature difference is 3 degrees Celsius, the first temperature factor is 0.7, which means that the indoor temperature change efficiency is 70% under this temperature difference. By generating the first temperature factor, the system can more accurately predict the indoor temperature change efficiency corresponding to different temperature difference values, providing a more accurate basis for subsequent temperature adjustment strategies. S34: The preset indoor temperature prediction model generates an expected indoor temperature corresponding to a certain time based on the first temperature factor.

[0049] Based on the first temperature factor, the expected indoor temperature change is predicted at a certain point in the future when there is a certain temperature difference between the ambient temperature and the indoor temperature. For example, when the ambient temperature is 28 degrees Celsius and the indoor temperature is 25 degrees Celsius, according to the first temperature factor, the indoor temperature is predicted to rise to 26.5 degrees Celsius. By predicting the indoor temperature, the system can more accurately adjust the light transmittance of the thermo-dimming glass, the opening and closing states of the inner and outer glass according to the ambient temperature and the temperature difference, and improve the temperature regulation efficiency of the shading device, thereby improving indoor comfort and saving energy consumption.

[0050] At S33: inputting the temperature change-temperature difference data set into a preset temperature change analysis model, after which the temperature change analysis model generates a first temperature factor based on a machine algorithm, the following steps are included: S331: Recording the indoor temperature change efficiency corresponding to different transmittances of the thermo-sensitive dimming glass to construct a temperature change-transmittance data set; Specifically, the system records the indoor temperature change efficiency data of thermo-sensitive dimming glass at different transmittances. For example, when the transmittance of thermo-sensitive dimming glass is 30%, the indoor temperature change efficiency is 0.6 degrees Celsius / hour; when the transmittance of thermo-sensitive dimming glass is 70%, the indoor temperature change efficiency is 0.3 degrees Celsius / hour. These data are recorded and a temperature change-transmittance data set is constructed.

[0051] S332: Inputting the temperature change-transmittance data set into the temperature change analysis model, wherein the temperature change analysis model generates a transmittance factor based on a machine algorithm, wherein the transmittance factor is used to represent the indoor temperature change efficiency corresponding to different transmittances of different thermo-sensitive dimming glasses; Specifically, the system inputs the temperature change-transmittance data set into the pre-set temperature change analysis model, which analyzes the data set based on the machine learning algorithm and generates a transmittance factor. For example, according to the analysis model, when the transmittance of the thermo-dimming glass is 30%, the transmittance factor is 0.8, indicating that the indoor temperature change efficiency is 80% at this transmittance; when the transmittance of the thermo-dimming glass is 70%, the transmittance factor is 0.5, indicating that the indoor temperature change efficiency is 50% at this transmittance. By generating the transmittance factor, the system can more accurately predict the indoor temperature change efficiency corresponding to different transmittances of thermo-dimming glass, providing a more accurate basis for subsequent temperature adjustment strategies.

[0052] It should be noted that in the embodiment of the present application, the machine learning algorithms of the temperature change analysis model are neural network algorithms and regression analysis algorithms. The neural network algorithm is suitable for processing complex nonlinear relationships and large-scale data. It can learn and discover hidden patterns and laws from the data, and has robustness and generalization capabilities. The linear regression algorithm provides better model interpretability, can clearly reveal the degree and direction of the influence of independent variables on dependent variables, has high computational efficiency and is suitable for simple linear relationship modeling. Therefore, in this solution, according to data characteristics, problem complexity and prediction requirements, neural network algorithms and linear regression algorithms are used to obtain better results and improve the effect of data processing.

[0053] S333: Calculating a corresponding transmittance factor based on a preset expected temperature change efficiency, and determining the transmittance of the thermotropic dimming glass based on the transmittance factor; Specifically, according to the preset expected temperature change efficiency, for example, set to 0.4 degrees Celsius / hour, the system calculates according to the transmittance factor to obtain the corresponding transmittance. For example, according to the transmittance factor, it is predicted that when the expected temperature change efficiency is 0.4 degrees Celsius / hour, the transmittance of the thermo-sensitive dimming glass needs to be set to 50%. By calculating the transmittance factor according to the expected temperature change efficiency and determining the transmittance of the thermo-sensitive dimming glass based on the transmittance factor, the system can automatically adjust the transmittance of the thermo-sensitive dimming glass according to the expected temperature change, further improving the accuracy and efficiency of indoor temperature regulation.

[0054] In S60: if the user does not confirm the adjustment scheme to be confirmed, the step of obtaining the user-defined scheme and adjusting and controlling the sunshade device based on the user-defined scheme includes the following steps: S61: Sending a customized plan generation prompt to the user and providing adjustment customization options; Specifically, in the embodiment of the present application, the system sends a prompt to the user, asking whether a custom solution needs to be generated. At the same time, the system provides custom adjustment options, such as adjusting the light transmittance of the sunshade device, adjusting the opening and closing state of the inner and outer glass, etc. The user can select the corresponding option according to his or her needs.

[0055] S62: generating a user preference mode and a customization scheme according to the customization options; Specifically, according to the customization options selected by the user, the system generates a user preference mode and a corresponding customization scheme. For example, the user chooses to set the light transmittance of the sunshade device to 50% and keep the inner glass closed. The system generates a user preference mode based on these options and generates a corresponding customization scheme.

[0056] Furthermore, several fixed plans can be set as user preference plans to facilitate quick adjustment by users, and intelligent adjustments can be made based on users' personalized needs to provide customized services that meet users' expectations, thereby improving user satisfaction and comfort and enhancing users' usage experience.

[0057] S63: generating a corresponding custom adjustment strategy according to the custom options in the custom solution, and adjusting and controlling the sunshade device according to the custom adjustment strategy; Specifically, the system generates corresponding custom adjustment strategies according to the custom options in the custom scheme. For example, according to the custom options selected by the user, the system generates an adjustment strategy that requires the light transmittance of the sunshade device to be adjusted to 50% and the inner glass to be kept closed. The system performs corresponding adjustment control on the sunshade device according to these strategies. By generating a custom adjustment strategy according to the custom options in the custom scheme and adjusting and controlling the sunshade device, the system can achieve personalized temperature adjustment, meet the specific needs of users, and improve indoor comfort and user experience.

[0058] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0059] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0060] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A sunshade device based on thermo-sensitive dimming glass, characterized in that: The device comprises: an inner layer of glass (2), an outer layer of glass (1), a sunshade assembly, an adjustment bracket (3), an inverter (5) assembly and a main control unit. The inner layer of glass (2) and the outer layer of glass (1) are arranged in parallel to form an installation cavity. The sunshade assembly and the adjustment bracket (3) are both arranged in the installation cavity. The sunshade assembly comprises a plurality of solar panels (4) and a plurality of thermo-sensitive dimming glasses. The number of the solar panels (4) and the number of the thermo-sensitive dimming glasses correspond to each other. The thermo-sensitive dimming glasses are installed on the backlight surface of the solar panel (4). The light-facing surface of the solar panel (4) faces the sun. The sunshade assembly is arranged toward the outside of the building, and is installed on the adjustment bracket (3). The adjustment bracket (3) is provided with a plurality of electrically controlled adjustment components, and the electrically controlled adjustment components are connected to the solar panel, and the electrically controlled adjustment components are used to adjust the rotation angle of the solar panel. The inverter (5) assembly is electrically connected to the solar panel (4), and the inverter (5) assembly is used to convert the solar energy received by the solar panel (4) into electrical energy. The main control unit is electrically connected to the electrically controlled adjustment components and the inverter (5) assembly, and is used to control the operation of the electrically controlled adjustment components and the inverter (5) assembly.

2. A sunshade device based on thermo-sensitive dimming glass according to claim 1, characterized in that: The output end of the inverter (5) component is electrically connected to a temperature control switch, and the other end of the temperature control switch is connected to a temperature control device for heating and cooling. The temperature control device is installed on the surface of the thermotropic dimming glass, and the temperature control device is used to adjust the temperature of the thermotropic dimming glass to control the light transmittance of the thermotropic dimming glass.

3. The sunshade device based on thermo-sensitive dimming glass according to claim 1, characterized in that: The output end of the inverter (5) component is electrically connected to a solar heat pump hot water component, and the solar heat pump hot water component comprises a compressor (8), a plate heat exchanger (9) and an electronic expansion valve (10). The compressor (8), the plate heat exchanger (9) and the electronic expansion valve (10) are all electrically connected to the inverter (5) component. The compressor (8), the plate heat exchanger (9) and the electronic expansion valve (10) are sequentially connected, and the gas outlet of the electronic expansion valve (10) is used to supply gas to the solar panel.

4. A control method for a sunshade device based on thermotropic dimming glass, applied to a sunshade device based on thermotropic dimming glass according to any one of claims 1 to 3, characterized in that: Acquire ambient lighting data, the ambient lighting data including light intensity and light angle, and generate an optimal light angle according to the ambient lighting data; Acquire real-time angle data of the solar panel, and generate a first adjustment strategy according to the optimal angle facing the sun, wherein the first adjustment strategy is used to adjust the solar panel to better absorb solar energy and improve the conversion efficiency of the solar panel; Acquire ambient temperature data and indoor temperature data, and generate a second adjustment strategy based on preset optimal indoor temperature data, wherein the second adjustment strategy includes the light transmittance of the thermo-sensitive dimming glass, and the open and closed states of the inner glass and the outer glass, and the second adjustment strategy is used to adjust the temperature adjustment efficiency of the shading device; Generate an adjustment plan to be confirmed based on the first adjustment strategy and the second adjustment strategy, wherein the adjustment plan to be confirmed is used to be pushed to the user end and wait for user confirmation, wherein the adjustment plan to be confirmed includes the expected conversion efficiency of the solar panel, the expected indoor temperature adjustment efficiency, the expected indoor temperature, and the adjustment time required for the expected indoor temperature; If the user confirms the adjustment scheme to be confirmed, the sunshade device is adjusted and controlled based on the adjustment scheme to be confirmed; If the user does not confirm the adjustment plan to be confirmed, the user-defined plan is obtained, and the sunshade device is adjusted and controlled based on the customized plan.

5. A sunshade control method based on thermo-sensitive dimming glass according to claim 4, characterized in that: The step of obtaining ambient lighting data, wherein the ambient lighting data includes lighting intensity and light irradiation angle, and generating an optimal light-facing angle according to the ambient lighting data includes the following steps: Obtain the light source information received by the solar panel and analyze the number and location of the light source; Based on the light source information and taking the center of the solar panel as the receiving center point, the real-time light irradiation angle of each solar panel is generated, wherein the straight line formed by the light source position and the receiving center point is the straight line L, the panel surface of the solar panel is the plane a, the angle formed by the straight line L and the plane a is α, and the light irradiation angle is α; When plane a is perpendicular to straight line L, that is, the light irradiation angle α is 90°, it is the optimal light-facing state of the solar panel. The angle formed by the panel surface when the solar panel is in the optimal light-facing state and the panel surface when the solar panel is in the initial state is the optimal light-facing angle.

6. A sunshade control method based on thermo-sensitive dimming glass according to claim 5, characterized in that: The ambient temperature data and the indoor temperature data are obtained, and a second adjustment strategy is generated based on the preset optimal indoor temperature data. The second adjustment strategy includes the light transmittance of the thermo-sensitive dimming glass, and the open and closed states of the inner glass and the outer glass. The second adjustment strategy is used in the step of adjusting the temperature adjustment efficiency of the sunshade device, and includes the following steps: Compare the ambient temperature data with the indoor temperature data to calculate a temperature difference value, wherein the temperature difference value is calculated by the following formula: temperature difference value = ambient temperature - indoor temperature, and record the temperature difference value based on a timestamp; Calculating the indoor temperature change efficiency based on the indoor temperature data, and establishing a mapping relationship between the indoor temperature change efficiency and the temperature difference value based on a timestamp to construct a temperature change-temperature difference data set; Inputting the temperature change-temperature difference data set into a preset temperature change analysis model, wherein the temperature change analysis model generates a first temperature factor based on a machine algorithm, wherein the first temperature factor is used to represent the indoor temperature change efficiency corresponding to different temperature difference values; The preset indoor temperature prediction model generates an expected indoor temperature corresponding to a certain time based on the first temperature factor.

7. A sunshade control method based on thermo-sensitive dimming glass according to claim 6, characterized in that: After the temperature change-temperature difference data set is input into a preset temperature change analysis model, and the temperature change analysis model generates a first temperature factor based on a machine algorithm, the following steps are included: Record the indoor temperature change efficiency of thermo-sensitive dimming glass at different transmittances to construct a temperature change-transmittance data set; Inputting the temperature change-transmittance data set into the temperature change analysis model, the temperature change analysis model generates a transmittance factor based on a machine algorithm, and the transmittance factor is used to represent the indoor temperature change efficiency corresponding to different transmittances of different thermo-sensitive dimming glasses; The corresponding transmittance factor is calculated based on the preset expected temperature change efficiency, and the transmittance of the thermotropic dimming glass is determined based on the transmittance factor.

8. A sunshade control method based on thermo-sensitive dimming glass according to claim 7, characterized in that: After the step of taking the optimal light-facing state of the solar panel when the plane a is perpendicular to the straight line L, that is, the light irradiation angle α is 90°, and taking the angle formed by the panel surface of the solar panel when it is in the optimal light-facing state and the panel surface of the solar panel when it is in the initial state as the optimal light-facing angle, the following steps are included: Recording historical light source information, and inputting the historical light source information into a preset light source analysis model for analysis to generate a light source portrait; Acquire weather forecast information and input it into a preset light source prediction model, wherein the light source prediction model generates first predicted light source information corresponding to the weather forecast information based on the light source image; The light source prediction model modifies the first predicted light source information according to the real time and based on the light source portrait to generate second predicted light source information; A predicted optimal light-facing angle is generated based on the second predicted light source information, and the predicted optimal light-facing angle is used to generate a predicted adjustment strategy.

9. A sunshade control method based on thermo-sensitive dimming glass according to claim 8, characterized in that: If the user does not confirm the adjustment scheme to be confirmed, the step of obtaining the user-defined scheme and adjusting and controlling the sunshade device based on the user-defined scheme includes the following steps: Prompt the user to generate a custom plan and provide adjustment and customization options; Generate a user preference mode and a customization scheme according to the customization options; A corresponding custom adjustment strategy is generated according to the custom options in the custom scheme, and the sunshade device is adjusted and controlled according to the custom adjustment strategy.

10. A sunshade control method based on thermo-sensitive dimming glass according to claim 6, characterized in that: The machine learning algorithm of the temperature change analysis model includes a neural network algorithm and a regression analysis algorithm.

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