Control method and device based on intelligent window

Abstract

The invention relates to a control method and device based on an intelligent window. The method comprises the following steps: acquiring in-window demand information, in-window environment information, out-window illumination information and out-window environment information of a target window; calculating electrical parameter adjustment information of a liquid crystal material of a middle interlayer of the target window according to the irradiation relation of the outside-window illumination information on the target window; according to the air quality difference between the environment information outside the window and the environment information inside the window, gas convection opening and closing information of the target window is determined; according to the direction and the flow speed in the in-window environment information, the window opening and closing angle of the target window and the position and posture information of a flow guide plate are calculated; and by taking the in-window demand information as a constraint condition, performing cooperative adjustment on the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the flow guide plate pose information to obtain target window control information. By means of the method, the window can be flexibly adjusted in response to the complex external environment and according to the requirements of indoor personnel.

Description

Technical Field

[0001] The present application relates to the field of intelligent control technology, and in particular to a control method and device based on intelligent windows. Background Art

[0002] Existing window control technologies mainly include manual control, electric switch, remote control, sensor control and other methods, which can realize ventilation, sunshade, sound insulation and other functions by opening and closing windows and adjusting curtains. However, the above methods generally rely on manual operation or a single sensor and are difficult to adjust autonomously according to environmental changes, resulting in the inability of windows to flexibly adjust in response to complex external environments and the needs of people indoors. Summary of the invention

[0003] Based on this, it is necessary to provide a control method, device, computer equipment, computer-readable storage medium and computer program product based on smart windows, which can enable windows to be flexibly adjusted in response to complex external environment and the needs of people indoors, in order to solve the above technical problems.

[0004] In a first aspect, the present application provides a control method based on a smart window. The method comprises:

[0005] Obtaining the target window's in-window demand information, in-window environment information, outside-window lighting information, and outside-window environment information; the in-window demand information is determined by the target object's biometric information;

[0006] Calculating electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window;

[0007] Determining the air convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window;

[0008] Calculating the window opening and closing angle and guide plate position information of the target window according to the direction and flow velocity in the window environment information;

[0009] With the demand information inside the window as a constraint condition, the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the guide plate posture information are coordinated and adjusted to obtain the target window control information; the target window control information user controls the target window to change its posture.

[0010] In a second aspect, the present application also provides a control device based on a smart window. The device comprises:

[0011] An environmental information acquisition module is used to acquire the target window's internal demand information, the window's internal environmental information, the window's external illumination information, and the window's external environmental information; the window's internal demand information is determined by the target object's biometric information;

[0012] A polarization parameter calculation module, used to calculate electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window;

[0013] An opening and closing information determination module, used to determine the gas convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window;

[0014] An opening and closing degree calculation module, used to calculate the window opening and closing angle of the target window and the guide plate position information according to the direction and flow velocity in the window environment information;

[0015] A control information generation module is used to coordinate the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle, and the guide plate posture information with the demand information in the window as a constraint condition to obtain target window control information; the target window control information user controls the target window to change its posture.

[0016] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0017] Obtaining the target window's in-window demand information, in-window environment information, outside-window lighting information, and outside-window environment information; the in-window demand information is determined by the target object's biometric information;

[0018] Calculating electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window;

[0019] Determining the air convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window;

[0020] Calculating the window opening and closing angle and guide plate position information of the target window according to the direction and flow velocity in the window environment information;

[0021] With the demand information inside the window as a constraint condition, the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the guide plate posture information are coordinated and adjusted to obtain the target window control information; the target window control information user controls the target window to change its posture.

[0022] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0023] Obtaining the target window's in-window demand information, in-window environment information, outside-window lighting information, and outside-window environment information; the in-window demand information is determined by the target object's biometric information;

[0024] Calculating electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window;

[0025] Determining the air convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window;

[0026] Calculating the window opening and closing angle and guide plate position information of the target window according to the direction and flow velocity in the window environment information;

[0027] With the demand information inside the window as a constraint condition, the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the guide plate posture information are coordinated and adjusted to obtain the target window control information; the target window control information user controls the target window to change its posture.

[0028] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0029] Obtaining the target window's in-window demand information, in-window environment information, outside-window lighting information, and outside-window environment information; the in-window demand information is determined by the target object's biometric information;

[0030] Calculating electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window;

[0031] Determining the air convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window;

[0032] Calculating the window opening and closing angle and guide plate position information of the target window according to the direction and flow velocity in the window environment information;

[0033] With the demand information inside the window as a constraint condition, the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the guide plate posture information are coordinated and adjusted to obtain the target window control information; the target window control information user controls the target window to change its posture.

[0034] The above-mentioned control method, device, computer equipment, storage medium and computer program product based on smart windows obtain the target window's in-window demand information, in-window environment information, outside-window lighting information and outside-window environment information; the in-window demand information is determined by the target object's biometric information; the electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window is calculated according to the illumination relationship of the outside-window lighting information on the target window; the gas convection opening and closing information of the target window is determined according to the air quality difference between the outside-window environment information and the inside-window environment information; the window opening and closing angle and guide plate position information of the target window are calculated according to the direction and flow rate in the inside-window environment information; with the in-window demand information as a constraint condition, the electrical parameter adjustment information, gas convection opening and closing information, window opening and closing angle and guide plate position information are coordinated and adjusted to obtain the target window control information; the target window control information user controls the target window to change its position.

[0035] By collecting and analyzing the environmental data and lighting information inside and outside the window in real time, and combining the biometric requirements of the target object, the system can accurately adjust the electrical parameters of the window's liquid crystal material, the window's opening and closing angle, the position of the guide plate, and the opening and closing state of the gas convection, forming a dynamically adaptive intelligent window control solution. While meeting the user's personalized lighting and air circulation needs, it significantly optimizes the indoor light environment and air quality, reduces manual intervention, and realizes automated and precise control of windows, enabling the windows to flexibly adjust in response to complex external environments and the needs of indoor personnel, improving the convenience and comfort of life; in addition, by adjusting electrical parameters and opening and closing angles to intelligently utilize natural light and ventilation, it can also significantly reduce energy consumption, achieve energy conservation and environmental protection, and provide support for the development of green smart homes. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A diagram of an application environment of a control method based on a smart window in one embodiment;

[0037] Figure 2 A flowchart of a control method based on a smart window in one embodiment;

[0038] Figure 3 is a flow chart of a method for obtaining target window control information in one embodiment;

[0039] Figure 4A schematic diagram of a flow chart of a method for generating initial action control parameters in one embodiment;

[0040] Figure 5 is a flow chart of a method for obtaining target action control parameters in another embodiment;

[0041] Figure 6 A schematic diagram of a flow chart of a method for calculating electrical parameter adjustment information in an embodiment;

[0042] Figure 7 is a schematic flow chart of a method for determining expected light transmittance in one embodiment;

[0043] Figure 8 Schematic diagram of a flow chart of a method for calculating window opening and closing angle and deflector position information in one embodiment;

[0044] Fig. 9 A structural block diagram of a control device based on a smart window in one embodiment;

[0045] Fig.10 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0047] The control method based on smart windows provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 obtains the window demand information, window environment information, window illumination information and window environment information of the target window from the terminal 102; the window demand information is determined by the biometric information of the target object; according to the illumination relationship of the window illumination information in the target window, the electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window is calculated; according to the air quality difference between the window environment information and the window environment information, the gas convection opening and closing information of the target window is determined; according to the direction and flow rate in the window environment information, the window opening and closing angle and the guide plate posture information of the target window are calculated; with the window demand information as a constraint condition, the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the guide plate posture information are coordinated and adjusted to obtain the target window control information; the target window control information user controls the target window to change its posture. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0048] In one embodiment, Figure 2 As shown, a control method based on smart windows is provided, and the method is applied to Figure 1 The server in the example is used to illustrate the following steps:

[0049] Step 202, obtaining the in-window demand information, in-window environment information, out-window lighting information and out-window environment information of the target window.

[0050] Among them, the demand information in the window can be defined based on the current situation and needs of the target object, including ideal light intensity, air circulation, temperature and other parameters. These needs can be personalized through the object's biometric information to ensure that the environmental conditions meet the comfort and health standards of the target object.

[0051] Among them, the window environment information can be real-time environmental data in the room, such as temperature, humidity, air quality (PM2.5 concentration, carbon dioxide level, etc.) and airflow direction and speed.

[0052] Among them, the light information outside the window can be the intensity of natural light from outdoors, the angle of the sun, the incident angle and distribution of light, etc.

[0053] Among them, the outside environment information can be outdoor temperature, humidity, air quality (such as PM2.5 concentration, carbon dioxide concentration, etc.) and other data. These data determine whether it is necessary to open windows for ventilation to maintain good air quality and prevent outdoor pollutants from entering.

[0054] Among them, the target window can be a window controlled by the system or an array of multiple windows. In the case of multiple windows, each window can be adjusted individually, usually with intelligent adjustment functions, such as controllable liquid crystal dimming glass, automatic opening and closing mechanism and guide plate.

[0055] Among them, biometric information can be the target object's vital signs data, such as body temperature, heart rate, activity status, etc., which is used to determine its personalized needs for the environment.

[0056] Specifically, a variety of real-time environmental information is obtained through sensors installed on and near windows, and the demand information inside the window is obtained by analyzing the biometric information of the target object, including using cameras, infrared thermal sensors, heart rate sensors and other equipment to detect the target object's body temperature, activity status, heart rate, etc., to determine its comfort needs, such as appropriate light intensity, air circulation, etc. At the same time, the system also collects environmental information inside the window (such as temperature, humidity, air quality), light information outside the window (including light intensity, incident angle, sun altitude) and environmental information outside the window (such as temperature, humidity, PM2.5 concentration and other air quality data).

[0057] Step 204, calculating electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window.

[0058] The illumination relationship may be a geometric relationship such as an incident angle, light intensity distribution, etc. between the light outside the window and the window.

[0059] The electrical parameter adjustment information may be the voltage or current parameters required by the liquid crystal glass calculated according to the light conditions outside the window, and is used to control the transparency of the glass to achieve polarization, so as to adjust the amount of light entering the room.

[0060] Specifically, based on the light information outside the window and the physical position of the target window, the system uses a geometric optical model to calculate the illumination relationship of the light on the window, including the incident angle of the light, the illumination area and the position distribution. Then, based on the above data, the system determines the appropriate electrical parameter adjustment strategy and applies the corresponding voltage to the liquid crystal material in the middle layer of the window to change the arrangement of the liquid crystal molecules, thereby adjusting the light transmittance to achieve the polarization effect.

[0061] Step 206, determining the air convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window.

[0062] Among them, the air quality difference can be the difference in pollutant concentration in the air inside and outside the window, such as the difference in PM2.5 or carbon dioxide levels, which is used to determine whether it is necessary to open the window for air circulation.

[0063] Among them, the gas convection opening and closing information can be the window opening and closing status information generated by the system based on the air quality difference, which is used to open the windows for ventilation at the appropriate time to improve the indoor air quality.

[0064] Specifically, the difference in air quality between the outside environment information and the inside environment information is compared to determine the difference in air quality, especially focusing on the concentrations of harmful gases such as PM2.5 and carbon dioxide inside and outside the room. Through the built-in ambient air quality algorithm, when the air quality outside the window is better than that inside the room (for example, the PM2.5 concentration outside the window is lower than a certain threshold), the system will generate an instruction to open the window so that the window is opened appropriately to promote the flow of fresh air and dispel the turbid air in the room. On the contrary, if the outside air quality is poor, the system will automatically close the window to prevent harmful gases from entering. At the same time, the system will monitor the duration of window opening and closing to ensure that the air exchange volume reaches a reasonable level.

[0065] Step 208, calculating the window opening and closing angle of the target window and the guide plate position information according to the direction and flow rate in the window environment information.

[0066] Among them, the window opening angle can be the window opening degree set according to needs, which is used to adjust air flow and ventilation volume to ensure that the air flow meets the comfort of the target object.

[0067] The guide plate posture information may be the guide plate position and angle determined by the system, which is used to adjust the indoor airflow direction so that the air flow meets the needs of the target object and avoids unnecessary direct blowing.

[0068] Specifically, based on the airflow direction and speed in the window environment information, with the help of aerodynamic models, the system evaluates the impact of various opening and closing angles on the airflow, thereby determining the appropriate window opening and closing angle to achieve optimal air circulation. At the same time, the guide plate is calculated to adjust the angle according to the indoor airflow distribution requirements to obtain the guide plate position information. For example, when ventilation is required but direct airflow to people is avoided, the system will set the inclination angle of the guide plate to make the airflow deflect to other areas in the room, avoid direct impact on the human body, and ensure the comfort and uniformity of air flow.

[0069] Step 210, using the demand information inside the window as a constraint condition, coordinately adjust the electrical parameter adjustment information, gas convection opening and closing information, window opening and closing angle, and guide plate position information to obtain the target window control information.

[0070] Among them, the target window control information can be a comprehensive control instruction generated through collaborative analysis of multiple parameters, including window transparency, opening and closing angles, guide plate position, etc., to control the target window to achieve dynamic adjustment to provide an ideal indoor environment.

[0071] Specifically, the acquired demand information in the window is used as a constraint condition, and the above-calculated electrical parameter adjustment information, gas convection opening and closing information, window opening and closing angles, and guide plate position information are comprehensively analyzed and coordinated. Through artificial intelligence optimization algorithms (such as genetic algorithms or particle swarm algorithms), the coordination of various adjustments is ensured to avoid conflicting instructions during the adjustment process. For example, the system may adjust the window transparency and guide plate position at the same time to meet the indoor light and air flow requirements. Finally, the optimization calculation generates the target window control information of the window and sends it to the window's actuator to automatically complete the dynamic opening and closing and adjustment of the window, maximizing the comfort, health needs and energy-saving effects of the target object.

[0072] In the above-mentioned control method based on smart windows, the in-window demand information, in-window environment information, outside-window lighting information and outside-window environment information of the target window are obtained; the in-window demand information is determined by the biometric information of the target object; according to the illumination relationship of the outside-window lighting information on the target window, the electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window is calculated; according to the air quality difference between the outside-window environment information and the inside-window environment information, the gas convection opening and closing information of the target window is determined; according to the direction and flow rate in the inside-window environment information, the window opening and closing angle and the guide plate position information of the target window are calculated; with the in-window demand information as a constraint condition, the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the guide plate position information are coordinated and adjusted to obtain the target window control information; the target window control information user controls the target window to change its position.

[0073] By collecting and analyzing the environmental data and lighting information inside and outside the window in real time, and combining the biometric requirements of the target object, the system can accurately adjust the electrical parameters of the window's liquid crystal material, the window's opening and closing angle, the position of the guide plate, and the opening and closing state of the gas convection, forming a dynamically adaptive intelligent window control solution. While meeting the user's personalized lighting and air circulation needs, it significantly optimizes the indoor light environment and air quality, reduces manual intervention, and realizes automated and precise control of windows, enabling the windows to flexibly adjust in response to complex external environments and the needs of indoor personnel, improving the convenience and comfort of life; in addition, by adjusting electrical parameters and opening and closing angles to intelligently utilize natural light and ventilation, it can also significantly reduce energy consumption, achieve energy conservation and environmental protection, and provide support for the development of green smart homes.

[0074] In one embodiment, Figure 3 As shown in the figure, with the demand information in the window as the constraint condition, the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the guide plate position information are coordinated and adjusted to obtain the target window control information, including:

[0075] Step 302, constructing an information action space according to the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle, and the guide plate position information.

[0076] Specifically, the electrical parameter adjustment information, gas convection opening and closing information, window opening and closing angles, and guide plate position information are combined to construct an information action space, in which the information action space defines all operable parameter ranges and possible states of the window control system. First, the electrical parameter adjustment is divided into different transparency level ranges according to the light intensity and the response characteristics of the liquid crystal material. Secondly, the gas convection opening and closing information defines the window opening and closing state (such as fully closed, partially open, fully open) and its rate of change. The window opening and closing angle setting determines the rotation range allowed for the window at different openings, while the guide plate position information sets the value range of the guide plate at each angle. Through the establishment of this refined action space, the system assigns each adjustment factor of the window to a set of independent dimensions, providing complete adjustment options for subsequent state decisions.

[0077] Step 304: construct an information state space according to the in-window demand information, the in-window environment information, the out-window environment information, and the biometric feature information.

[0078] The information state space may be a multidimensional state set created based on the demand information within the window, the environment information inside and outside the window, and the biometric information of the target object, reflecting the demand state of the current environment and the target object.

[0079] Specifically, the information state space is constructed based on the demand information in the window (biometric demand of the target object), the environmental information in the window (such as temperature, humidity, and air quality), and the environmental information outside the window (such as light intensity and air quality). The information state space contains all possible combinations of environmental and object states. By collecting the biometric characteristics of the target object (such as body temperature, heart rate, and activity status) and indoor and outdoor environmental parameters in real time, a state set reflecting the current environment and demand is generated. For example, the system can combine "the current body temperature of the object is high, the outdoor air quality is good, and the indoor light is dim" into a specific state. Through this dynamic mapping of real-time information, the state space provides accurate demand data for action selection, so that subsequent action generation can accurately match user needs based on real-time scenarios.

[0080] Step 306: Using the information state space as action guidance information, generate several groups of initial action control parameters in the information action space.

[0081] The initial action control parameters may be a combination of multiple candidate control parameters generated from the information action space under the guidance of the information state space.

[0082] Specifically, under the guidance of the information state space, possible action combinations are matched according to the current state space, covering electrical parameter settings (transmittance), window opening angles, and gas convection states. The step decomposition method is used to generate multiple sets of candidate parameters for these combinations, covering different combinations such as "translucent settings + airflow convection + 30-degree opening angles", thereby generating several sets of initial action control parameters from the information action space. By simulating the effects of each combination or using a prediction algorithm to evaluate environmental adaptability, the system generates a set of suitable candidate actions for each state space scenario, thereby forming a set of action candidates for the next step of screening.

[0083] Step 308 , using the demand information within the window as a constraint condition, select a target motion control parameter from each group of initial motion control parameters.

[0084] The target motion control parameters may be an optimal parameter combination selected from the initial motion control parameters, which is screened to meet the constraints of the demand information within the window.

[0085] Specifically, with the demand information in the window as a constraint, the system evaluates the degree of adaptability of each set of initial motion control parameters to the object's biometric requirements (such as whether the light intensity and air circulation meet the current comfort requirements), and then eliminates parameter combinations that do not meet the user's requirements. Through weight calculation, the combination that is closest to the demand and most adaptable to the environment is determined as the target motion control parameter. For example, if the user prefers higher light and low airflow, the system will give priority to parameter combinations that can achieve this effect. The final screening results ensure that while meeting user needs, they also achieve the best adaptability to the environment.

[0086] Step 310, generating target window control information according to the target action control parameter.

[0087] Specifically, based on the selected target action control parameters, the system generates precise target window control information. The control information includes the voltage value applied to the liquid crystal material, the opening and closing angle of the window, the specific switch state of the gas convection, and the adjustment angle of the guide plate. The control information will be transmitted to the smart window execution module in real time, so that the window can be adjusted according to the predetermined plan to achieve a personalized control effect. For example, when the target object enters the sleep state, the system can adjust the window to the "semi-transparent + low airflow" mode through instructions, thereby realizing automatic dynamic management of the window, so that the indoor environment is always maintained in the most suitable state.

[0088] In this embodiment, by constructing the information action space and the information state space and generating the initial action control parameters, the system can accurately adapt to the current environment inside and outside the window and the physiological needs of the target object, thereby selecting the best window control solution. This intelligent control makes the window more flexible in adjusting the lighting, air circulation and airflow distribution, ensuring that the indoor environment is always within the comfortable range of the target object, while avoiding frequent or unnecessary adjustments and saving energy. The window control information finally generated enables the window to automatically adjust to the ideal state, providing users with a healthy, comfortable and energy-saving living environment, and realizing personalized and efficient intelligent window management.

[0089] In one embodiment, Figure 4 As shown, the information state space is used as the action guidance information, and several sets of initial action control parameters are generated in the information action space, including:

[0090] Step 402, setting creature comfort conditions for the target object according to the demand information in the window.

[0091] The biological comfort condition may be a set of environmental requirement parameters determined according to the target object's biological mitigation parameters and state, aiming to provide environmental conditions that best meet the object's physical comfort. The biological mitigation parameters are parameters of the biological body that have abnormalities or can be optimized.

[0092] Specifically, the target object's biometric mitigation parameters, such as adjusting body temperature, heart rate, activity status, etc., are determined through the demand information in the window, and the biometric mitigation parameters are converted into specific comfort conditions for the environment. For example, according to the target object's body temperature and heart rate conditions, the object's required light intensity (such as softer or stronger light), air circulation speed (such as breeze or faster air circulation) and other requirements can be derived. The biological comfort conditions are adjusted dynamically in real time according to the target object's physiological needs, ensuring that these comfort conditions meet the individual needs of the object and provide an ideal indoor environment.

[0093] Step 404 , using the action guidance information and the creature comfort condition as search conditions, various window action combinations in the information action space are searched to obtain several groups of initial action control parameters.

[0094] Specifically, the information state space is used as action guidance information, and the current window and window environment information are combined to form a specific environment state, such as indoor temperature and humidity, external air quality and lighting angle. The system then performs a search operation in the information action space, traversing various window action combinations in the action space. In this process, the system uses biological comfort conditions as screening criteria and gives priority to parameter combinations that meet physiological needs, such as suitable liquid crystal electrical parameters (adjusting transparency to achieve the target light level), suitable window opening and closing angles (to achieve air circulation), and guide vane posture (to avoid direct wind blowing). After evaluating each combination, the system finally generates several sets of initial action control parameter sets, which can meet the current environmental state and object comfort needs to the greatest extent, providing rich adjustment options for further screening of optimal control parameters.

[0095] In this embodiment, by setting the biological comfort conditions of the target object and searching for suitable window action combinations in the information action space, the system can quickly generate a set of initial action control parameters that meet personalized needs. This search method allows window control to not only meet environmental adjustment needs, but also meet the comfort requirements of the target object, avoiding discomfort caused by inappropriate temperature, light or airflow. At the same time, this intelligent search based on comfort conditions shortens the decision-making time of the system, making window adjustment more efficient and accurate, thereby providing users with a comfortable and energy-saving indoor environment experience.

[0096] In one embodiment, Figure 5 As shown, the demand information in the window is used as a constraint condition, and the target action control parameters are selected from each group of initial action control parameters, including:

[0097] Step 502: Define a control parameter fitness function according to the demand information in the window.

[0098] The control parameter fitness function may be a function used to evaluate whether each set of action control parameters meets the requirements within the window.

[0099] Specifically, an ideal parameter range is set for each adjustment parameter (such as light transmittance, electrical parameters, opening and closing angle, etc.) according to the object's in-window demand information, and a control parameter fitness function is constructed. For example, the appropriate value of light intensity, the expected range of temperature, and the ideal range of air flow rate. The control parameter fitness function calculates the deviation of each parameter combination based on these expected values, and uses a numerical method to quantify its fitness (such as by the sum of squared errors or relative deviations), thereby evaluating its compliance with the target requirements in multiple sets of initial action parameters, so that combinations with high fitness have priority in subsequent screening.

[0100] The expression of the control parameter fitness function is as follows:

[0101]

[0102] Among them, D i is the demand information in the current window corresponding to the i-th control parameter, is the window demand setting value corresponding to the i-th control parameter, x i is the current value of the ith control parameter, is the optimized value of the i-th control parameter, i is the control parameter index, and k is the adjustment parameter of the function steepness.

[0103] Step 504 , according to the control parameter fitness function, parameters that meet the window demand information and the window state change threshold are selected from each group of initial action control parameters as each group of reasonable action control parameters.

[0104] Among them, the window state change threshold can be the change range limit of the window in terms of opening and closing angle, light transmittance, guide plate position, etc., which is used to avoid energy consumption and instability caused by frequent or extreme adjustments.

[0105] Among them, reasonable action control parameters can be action control parameter combinations that meet the demand information in the window and the window state change threshold after being evaluated by the fitness function, and have relatively high fitness.

[0106] Specifically, the defined control parameter fitness function is used to evaluate each group of initial action control parameters one by one, and the parameter combinations with lower fitness are eliminated to ensure that the remaining combinations meet the required information in the window and meet the window state change threshold. For example, when the light transmittance of the lighting parameter is too high or the air flow rate is too fast, it will be screened out due to deviation from the required range. In addition, the system also ensures that the window opening and closing angle or the guide plate posture change is within a reasonable range to avoid state instability caused by frequent changes, and finally retains a reasonable combination that meets the requirements.

[0107] Step 506: Identify the demand priority of the target object based on the demand information in the window.

[0108] Among them, the demand priority level can be the priority order assigned to different environmental adjustment requirements (such as temperature, light, air circulation, etc.) according to the current state and physiological needs of the target object.

[0109] Specifically, the demand priority of the target object is further identified through the demand information in the window, that is, the importance of each adjustment demand (such as temperature, light, and air circulation) is determined. For example, an increase in body temperature indicates that the temperature demand has a higher priority, or the light demand may be higher when the target object is in a working state. The system sets a priority index for each demand, and determines the importance ranking of each environmental adjustment factor through this index to ensure that in the subsequent steps, the system gives priority to the parameter combination that meets the highest priority demand, thereby matching the real-time comfort needs of the object.

[0110] Step 508 , selecting target motion control parameters from each group of reasonable motion control parameters in turn according to the demand priority.

[0111] Specifically, each group of reasonable parameters is screened in order of demand priority, and the highest priority demand is ensured to be met first. For example, if the current highest priority is temperature, the system will first find all combinations that meet the temperature demand, and then further match the lighting and air circulation demands. Through this demand priority sorting, the system finally determines a set of target action control parameters to ensure that key demands are met first and balance other demands. The target action control parameters finally selected generate control instructions for the windows, realize dynamic adjustment of the windows, and ensure that the environmental comfort demands of the objects are met in real time.

[0112] In this embodiment, by defining the control parameter fitness function and screening reasonable action control parameters, the system can effectively select the parameter combination that best meets the comfort requirements of the target object based on the window demand information and the window state change threshold. Further identifying the demand priority level enables the system to prioritize the most important needs and avoid over-adjustment of unnecessary parameters. The target action control parameters finally generated ensure that the window adjustment is accurate and meets the user's priority needs, achieving efficient and energy-saving intelligent control, while improving the user's comfort experience and the flexibility of system response.

[0113] In one embodiment, Figure 6 As shown, according to the illumination relationship of the light information outside the window on the target window, the electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window is calculated, including:

[0114] Step 602, determining the light intensity outside the window and the incident angle of the light according to the illumination relationship of the light information outside the window on the target window.

[0115] Specifically, the lighting information outside the window identifies the geographic location and time information, and the system can accurately calculate the altitude and azimuth of the sun, thereby obtaining the spatial angle of the light. Combined with the window's orientation, tilt angle, and height relative to the ground, the geometric optical formula is used to determine the angle between the light and the normal of the window surface, that is, the incident angle of the light. At the same time, the system estimates the light intensity based on weather conditions (such as sunny days, cloudy days) and the angle of the sun, and completes the calculation of the light intensity and incident angle outside the window to ensure that the current light exposure relationship is accurately obtained.

[0116] Step 604: Determine the expected light transmittance of the liquid crystal material according to the light intensity outside the window and the incident angle of the light.

[0117] The expected light transmittance may be the light transmittance level that the liquid crystal window needs to achieve under specific lighting conditions to meet the requirements of the indoor light environment.

[0118] Specifically, after the light intensity outside the window and the incident angle of the light are determined, the expected light transmittance required by the liquid crystal material is calculated according to the demand information inside the window (such as the current light demand or the comfort of the target object). For example, if the light intensity outside the window is very high and the incident angle is close to vertical, the system will set a lower light transmittance to avoid excessive brightness or glare in the room; conversely, if the light is weak or the incident angle is inclined, the system will choose a higher light transmittance to enhance the indoor lighting effect.

[0119] Step 606: Input the desired transmittance into the transmittance-electric field relationship of the liquid crystal material to obtain electrical parameter adjustment information.

[0120] Specifically, the desired transmittance is substituted into the transmittance electric field relationship of the liquid crystal material. This relationship describes the mathematical relationship between the transmittance of the liquid crystal material and the applied electric field strength (such as voltage or current). For example, at a lower voltage, the liquid crystal material may only allow a small amount of light to pass through, while a higher voltage will make it more transparent. Based on the characteristic function of the liquid crystal material (which may be linear or nonlinear), the system accurately calculates the voltage or current value required to achieve the target transmittance and other data. Finally, the system adjusts the liquid crystal material in the window interlayer based on the electrical parameter adjustment information so that its transmittance accurately matches the current requirements in the window, ensuring ideal lighting conditions in the room.

[0121] Among them, the specific form of the transmittance electric field relationship is,

[0122]

[0123] T LC =T min ,V <V th

[0124] Among them, T LC is the expected transmittance, Tmax is the maximum transmittance, V is the upper voltage of the liquid crystal material, V th is the threshold voltage of the liquid crystal material, V sat is the saturation voltage of the liquid crystal material, α is the nonlinearity of the liquid crystal material’s response to the point, T min is the intrinsic minimum transmittance of the liquid crystal material.

[0125] In this embodiment, by obtaining the light information outside the window and calculating the light intensity and the incident angle, the system can accurately determine the expected transmittance of the liquid crystal material, and then use the transmittance-electric field relationship formula to obtain the required electrical parameter adjustment information. This intelligent adjustment method enables the window to automatically adapt to the environment under different lighting conditions, achieve optimal light transmission control, and avoid excessive or insufficient indoor light. By dynamically adjusting the transmittance, the system not only provides users with stable visual comfort, but also reduces energy consumption, improves the overall light environment quality of the space, and achieves efficient, energy-saving and personalized lighting control.

[0126] In one embodiment, Figure 7 As shown, the expected light transmittance of the liquid crystal material is determined according to the light intensity outside the window and the incident angle of the light, including:

[0127] Step 702, determining the light projection intensity of the target window according to the light intensity outside the window and the incident angle of the light.

[0128] Specifically, the actual light intensity projected onto the window surface is calculated using the cosine law of geometric optics based on the light intensity outside the window and the incident angle of the light. Specifically, the light projection efficiency is determined by the incident angle of the light (the angle between the light and the normal line of the window surface), that is, the light intensity multiplied by the cosine angle. This result is called the "light projection intensity" of the window, which reflects the actual intensity of the light on the window surface.

[0129] Step 704: determine the material transmittance of the liquid crystal material according to various material properties of the liquid crystal material.

[0130] The material transmittance may be the ratio of light passing through a specific material, reflecting the material's ability to transmit light.

[0131] Specifically, the transmittance of each layer inside the liquid crystal material is confirmed. The transmittance of each layer determines the light transmission efficiency of that layer. For example, the liquid crystal interlayer may contain a polarizing layer, a liquid crystal layer, and a protective layer, and the transmittance of each layer of material to light may be different. The system calculates the transmittance of these layers in turn and multiplies the transmittance of each layer to obtain the comprehensive transmittance of the entire liquid crystal interlayer. This calculation result reflects the total transmittance level that light can achieve through the liquid crystal material under the current electrical conditions.

[0132] Step 706: Determine the expected illumination intensity of the target object according to the demand information in the window.

[0133] The expected light intensity may be an ideal indoor light intensity set based on the physiological needs and activity status of the target object.

[0134] Specifically, the system calculates the expected light intensity currently required by the target object in combination with the demand information in the window. For example, when the object is working or studying, the system will set a higher light intensity to enhance concentration and visibility; when resting or relaxing, it may be set to a softer light to avoid over-stimulating the eyes. The expected light intensity is set according to the object's biological state, activity type, and light preference to ensure that the adjusted light meets the needs of comfort and health.

[0135] Step 708, obtaining the expected light transmittance according to the illumination projection intensity, the material light transmittance and the expected illumination intensity.

[0136] Specifically, after obtaining the illumination projection intensity, material transmittance, and expected illumination intensity, these variables are comprehensively calculated through the relationship formula between the three to obtain the expected transmittance required by the liquid crystal material. For example, if the illumination projection intensity of the window is high but the expected illumination intensity of the object is low, the system will reduce the transmittance to reduce the amount of light; if the illumination projection intensity is weak and the expected illumination intensity is high, the transmittance will be increased to enhance the indoor lighting effect. The system uses this expected transmittance as the adjustment target so that the ideal indoor lighting level can be achieved by adjusting the electrical parameters of the liquid crystal material.

[0137] In this embodiment, by analyzing the light intensity outside the window, the incident angle of the light, and the characteristics of the liquid crystal material, the system can accurately calculate the light projection intensity and material transmittance of the window, and combine the demand information inside the window to derive the expected light intensity of the target object. The expected transmittance generated by this process enables the liquid crystal window to automatically adapt to the environment under different lighting conditions, accurately adjust the amount of light entering the room, and meet the personalized needs of users. In this way, the system not only effectively prevents the discomfort caused by excessive or insufficient light, but also improves the comfort and stability of indoor lighting, realizes intelligent lighting management for energy saving and consumption reduction, and optimizes the overall quality of the living environment.

[0138] In one embodiment, Figure 8 As shown, according to the direction and flow rate in the window environment information, the window opening and closing angle of the target window and the guide plate position information are calculated, including:

[0139] Step 802: Determine a virtual comfort cylinder of the target object based on the biometric information.

[0140] The virtual comfort cylinder can be a three-dimensional spatial area of ​​the target object, which is used to define the optimal comfort range of the object in the airflow environment. It dynamically adjusts the size and shape according to the biological characteristics of the object (such as body temperature, heart rate, activity status, etc.) to ensure that the airflow does not blow directly towards the object when entering the room, but bypasses along the edge of the cylinder to achieve ventilation while avoiding discomfort.

[0141] Specifically, based on the biometric information of the target object, such as body temperature, heart rate, activity status and position, a "virtual comfort cylinder" is generated around the object. This cylinder reflects the optimal comfort area of ​​the object and avoids direct interference of airflow. Specifically, the system determines the radius and height of the cylinder by analyzing data such as body temperature and heart rate. For example, when the object has a high body temperature or is active, the radius of the comfort cylinder may increase to prevent the airflow from directly contacting the target object; while in a stationary or resting state, the size of the cylinder may be relatively reduced to allow more fresh air to approach without generating a strong sense of drafts. The setting of the virtual comfort cylinder ensures the comfort of ventilation and the reasonable distribution of airflow, and provides constraints for the opening and closing of windows and the adjustment of the position of the guide plate.

[0142] Step 804, using the virtual comfort cylinder as a constraint condition, and according to the direction and flow rate in the window environment information, the window opening and closing angle and the guide plate position information are calculated.

[0143] Specifically, after setting the virtual comfort cylinder, the system uses the area as a constraint, and combines the airflow direction and velocity data in the window environment to calculate the window opening and closing angle of the window and the deflector position information of the deflector. First, the system analyzes the current airflow entry direction and calculates the appropriate window opening and closing angle, so that the airflow can bypass the comfort cylinder area after entering the room, avoiding the airflow blowing directly to the object, thereby improving the body comfort. Secondly, the system sets the angle and posture of the deflector according to the flow rate of the airflow to ensure that the airflow can be evenly distributed to various areas in the room. For example, at high flow rates, the deflector will be adjusted to a gentler angle to avoid strong winds causing discomfort to the object, while at low flow rates, the deflector angle can be adjusted to optimize the airflow direction. Through the precise setting of the window opening and closing angle and the deflector position, the system achieves indoor ventilation that meets the needs of the object, ensuring that the airflow not only meets the ventilation needs but also maintains a comfortable environmental airflow distribution.

[0144] In this embodiment, by generating a virtual comfort cylinder based on biometric information, the system can set a dynamic comfort zone around the target object to prevent airflow from blowing directly toward the object and maintain an ideal body temperature. Using this comfort cylinder as a constraint, the system combines the direction and velocity of the airflow in the window to intelligently calculate the opening and closing angle of the window and the optimal position of the guide plate, so that the airflow bypasses the comfort zone and is evenly distributed indoors. This method not only improves the user's comfort and avoids the discomfort caused by direct wind, but also ensures the indoor ventilation effect and the balance of air flow, realizes personalized air flow control, and optimizes the quality of a healthy and livable environment.

[0145] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0146] Based on the same inventive concept, the embodiment of the present application also provides a control device based on a smart window for implementing the control method based on a smart window involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the control device based on a smart window provided below can refer to the limitations of a control method based on a smart window above, and will not be repeated here.

[0147] In one embodiment, Fig. 9 As shown, a control device based on a smart window is provided, comprising: an environment information acquisition module 902, a polarization parameter calculation module 904, an opening and closing information determination module 906, an opening and closing degree calculation module 908 and a control information generation module 910, wherein:

[0148] The environment information acquisition module 902 is used to acquire the window demand information, window environment information, window illumination information and window environment information of the target window; the window demand information is determined by the biometric information of the target object;

[0149] The polarization parameter calculation module 904 is used to calculate the electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window;

[0150] An opening and closing information determination module 906, configured to determine the air convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window;

[0151] The opening and closing degree calculation module 908 is used to calculate the window opening and closing angle of the target window and the deflector position information according to the direction and flow velocity in the window environment information;

[0152] The control information generation module 910 is used to coordinate the electrical parameter adjustment information, gas convection opening and closing information, window opening and closing angles, and guide plate posture information with the demand information inside the window as a constraint condition to obtain the target window control information; the target window control information user controls the target window to change its posture.

[0153] In one embodiment, the control information generation module 910 is also used to construct an information action space based on electrical parameter adjustment information, gas convection opening and closing information, window opening and closing angles, and guide plate posture information; construct an information state space based on window demand information, window environment information, window environment information, and biometric information; use the information state space as action guidance information to generate several groups of initial action control parameters in the information action space; use the window demand information as a constraint condition to select target action control parameters from each group of initial action control parameters; and generate target window control information based on the target action control parameters.

[0154] In one embodiment, the control information generation module 910 is also used to set biological comfort conditions for the target object based on the demand information in the window; using the action guidance information and the biological comfort conditions as search conditions, various window action combinations in the information action space are searched to obtain several sets of initial action control parameters.

[0155] In one embodiment, the control information generation module 910 is also used to define a control parameter fitness function based on the demand information in the window; based on the control parameter fitness function, select parameters that meet the demand information in the window and the window state change threshold from each group of initial action control parameters as each group of reasonable action control parameters; based on the demand information in the window, identify the demand priority level of the target object; based on the demand priority level, select the target action control parameters from each group of reasonable action control parameters in turn.

[0156] In one embodiment, the polarization parameter calculation module 904 is also used to determine the light intensity outside the window and the incident angle of light according to the illumination relationship of the light information outside the window on the target window; determine the expected transmittance of the liquid crystal material according to the light intensity outside the window and the incident angle of light; input the expected transmittance into the transmittance electric field relationship of the liquid crystal material to obtain electrical parameter adjustment information.

[0157] In one embodiment, the polarization parameter calculation module 904 is also used to determine the light projection intensity of the target window according to the light intensity outside the window and the incident angle of the light; determine the material transmittance of the liquid crystal material according to the material properties of the liquid crystal material; determine the expected light intensity of the target object according to the demand information inside the window; and obtain the expected transmittance according to the light projection intensity, the material transmittance and the expected light intensity.

[0158] In one embodiment, the opening and closing degree calculation module 908 is also used to determine the virtual comfort cylinder of the target object based on the biometric information; using the virtual comfort cylinder as a constraint condition, the window opening and closing angle and the guide plate posture information are calculated according to the direction and flow rate in the window environment information.

[0159] Each module in the above-mentioned smart window control device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0160] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig.10 As shown. The computer device includes a processor, a memory and a network interface 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store server data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a control method based on smart windows is implemented.

[0161] Those skilled in the art will understand that Fig.10 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0162] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0163] In one embodiment, a computer-readable storage medium is provided, storing a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0164] In one embodiment, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the steps in the above-mentioned method embodiments.

[0165] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0166] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0167] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0168] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A control method based on smart windows, characterized in that: The method comprises: Obtaining the target window's in-window demand information, in-window environment information, outside-window lighting information, and outside-window environment information; the in-window demand information is determined by the target object's biometric information; Calculating electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window; Determining the air convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window; Calculating the window opening and closing angle and guide plate position information of the target window according to the direction and flow velocity in the window environment information; With the demand information inside the window as a constraint condition, the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle and the guide plate posture information are coordinated and adjusted to obtain the target window control information; the target window control information user controls the target window to change its posture.

2. The method according to claim 1, characterized in that The step of using the window demand information as a constraint condition to coordinately adjust the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle, and the guide plate position information to obtain the target window control information includes: Constructing an information action space according to the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle, and the deflector position information; constructing an information state space according to the in-window demand information, the in-window environment information, the out-window environment information, and the biometric feature information; Using the information state space as action guidance information, generating several groups of initial action control parameters in the information action space; Using the demand information in the window as a constraint condition, selecting a target motion control parameter from each group of the initial motion control parameters; The target window control information is generated according to the target action control parameter.

3. The method according to claim 2, characterized in that The method of using the information state space as action guidance information and generating a plurality of groups of initial action control parameters in the information action space includes: setting a creature comfort condition for the target object according to the in-window demand information; Using the action guidance information and the biological comfort condition as search conditions, various window action combinations in the information action space are searched to obtain several groups of initial action control parameters.

4. The method according to claim 2, characterized in that: The step of selecting target motion control parameters from each group of initial motion control parameters using the demand information within the window as a constraint condition includes: Defining a control parameter fitness function according to the demand information in the window; According to the control parameter fitness function, parameters that meet the window demand information and the window state change threshold are selected from each group of the initial action control parameters as each group of reasonable action control parameters; According to the demand information in the window, identifying the demand priority level of the target object; According to the demand priority level, the target action control parameters are selected from each group of reasonable action control parameters in turn.

5. The method according to claim 4, characterized in that The expression of the control parameter fitness function is: Among them, D i is the demand information in the current window corresponding to the i-th control parameter, is the window demand setting value corresponding to the i-th control parameter, x i is the current value of the ith control parameter, is the optimized value of the i-th control parameter, i is the control parameter index, and k is the adjustment parameter of the function steepness.

6. The method according to claim 1, characterized in that The step of calculating the electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window comprises: Determine the light intensity outside the window and the incident angle of the light according to the illumination relationship of the light information outside the window on the target window; Determining the desired light transmittance of the liquid crystal material according to the light intensity outside the window and the incident angle of the light; The desired transmittance is input into the transmittance-electric-field relationship of the liquid crystal material to obtain the electrical parameter adjustment information.

7. The method according to claim 6, characterized in that The step of determining the expected light transmittance of the liquid crystal material according to the light intensity outside the window and the light incident angle includes: Determine the light projection intensity of the target window according to the light intensity outside the window and the light incident angle; Determining the material transmittance of the liquid crystal material according to various material properties of the liquid crystal material; Determining the expected illumination intensity of the target object according to the demand information in the window; The expected light transmittance is obtained according to the illumination projection intensity, the material light transmittance and the expected illumination intensity.

8. The method according to claim 6, characterized in that The transmittance electric field relationship is: T LC =T min ,V<V th Among them, T LC is the expected transmittance, T max is the maximum transmittance, V is the upper voltage of the liquid crystal material, V th is the threshold voltage of the liquid crystal material, V sat is the saturation voltage of the liquid crystal material, α is the nonlinearity of the liquid crystal material’s response to the point, T min is the intrinsic minimum transmittance of the liquid crystal material.

9. The method according to claim 1, characterized in that: The step of calculating the window opening and closing angle and guide plate position information of the target window according to the direction and flow velocity in the window environment information includes: Determining a virtual comfort cylinder of the target object according to the biometric information; The virtual comfort cylinder is used as a constraint condition, and according to the direction and flow velocity in the window environment information, the window opening and closing angle and the guide plate position information are calculated.

10. A control device based on smart windows, characterized in that: The device comprises: An environmental information acquisition module is used to acquire the target window's internal demand information, the window's internal environmental information, the window's external illumination information, and the window's external environmental information; the window's internal demand information is determined by the target object's biometric information; A polarization parameter calculation module, used to calculate electrical parameter adjustment information of the liquid crystal material in the middle layer of the target window according to the illumination relationship of the light information outside the window on the target window; An opening and closing information determination module, used to determine the gas convection opening and closing information of the target window according to the air quality difference between the environment information outside the window and the environment information inside the window; An opening and closing degree calculation module, used to calculate the window opening and closing angle of the target window and the guide plate position information according to the direction and flow velocity in the window environment information; A control information generation module is used to coordinate the electrical parameter adjustment information, the gas convection opening and closing information, the window opening and closing angle, and the guide plate posture information with the demand information in the window as a constraint condition to obtain target window control information; the target window control information user controls the target window to change its posture.

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