Intelligent color regulation and control method and system based on awning sun shade

Abstract

The invention relates to the field of intelligent control systems, and discloses an intelligent color regulation and control method and system based on a skyscreen sun shade, and the method comprises the steps: defining a comfort factor of an application target corresponding to the skyscreen sun shade, and building a factor network of the skyscreen sun shade; analyzing the target representation of the application target, and analyzing the target illumination preference of the application target; analyzing dynamic characteristics of the comfort factor, and calculating a comfort coefficient of the application target by using a preset dynamic comfort algorithm; analyzing a color parameter-comfort degree influence relationship of the awning sun shade, and defining a color parameter intelligent control function of the awning sun shade; the color parameter intelligent control function is used for analyzing color optimization parameters of the awning sun shade, and intelligent color regulation and control of the awning sun shade are executed through the color optimization parameters. According to the invention, the comfort of a user under the awning sun shade can be improved.

Description

Technical Field

[0001] The invention relates to a color intelligent control method and system based on a skylight sunshade, belonging to the field of intelligent control systems. Background Art

[0002] Intelligent color control of the sunshade is a system that uses advanced sensor technology, dimming glass technology and intelligent control algorithms to automatically adjust the color and light transmittance of the panoramic sunshade of the car. This control system can intelligently change the color of the sunshade according to environmental factors such as light intensity, temperature, ultraviolet rays outside the car, as well as the comfort requirements of passengers in the car, thereby optimizing the light and temperature environment in the car and improving the driving experience.

[0003] Traditional skylight sunshade color control solutions usually use fixed color settings or simple manual adjustments, and are unable to automatically adjust the sunshade color according to changes in the external environment and user personalized needs, resulting in poor results in improving the comfort of skylight sunshades. Summary of the invention

[0004] The present invention provides a color intelligent control method and system based on a canopy sunshade, the main purpose of which is to improve the user comfort under the canopy sunshade.

[0005] To achieve the above object, the present invention provides a color intelligent control method based on a skylight sunshade, comprising: Acquire a sunshade application scenario of a canopy sunshade, identify application scenario characteristics of the sunshade application scenario, define a comfort factor of the canopy sunshade corresponding to an application target according to the application scenario characteristics, and establish a factor network of the canopy sunshade according to the comfort factor; Based on the factor network, collecting sunshade related data of the application scenario, wherein the sunshade related data includes sunshade related data, lighting environment data and application target data, analyzing the target representation of the application target based on the application target data, and analyzing the target lighting preference of the application target according to the target representation; Analyzing the dynamic characteristics of the comfort factor, and calculating the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference; Define the sunshade color parameters of the awning sunshade, analyze the color parameter-comfort influence relationship of the awning sunshade based on the sunshade related data, the sunshade color parameters, the comfort factor and the comfort coefficient, and define the color parameter intelligent control function of the awning sunshade through the color parameter-comfort influence relationship; Based on the comfort coefficient and the sunshade related data, the color parameter intelligent control function is used to analyze the color optimization parameters of the canopy sunshade, and the color intelligent control of the canopy sunshade is performed through the color optimization parameters.

[0006] Optionally, the identifying application scenario features of the sunshade application scenario includes: Defining the time coverage node of the sunshade application scenario; Collecting a node scene image of a node covered by the sunshade application scenario at the time; Calculating the climate coverage factor of the node scene image; When the climate coverage coefficient meets the preset climate coverage threshold, optimizing the node scene image to obtain an optimized node scene image; Extracting scene image features of the optimization node scene image, wherein the scene image features include image shape features, image texture features, image color features, and image object spatial relationships; Determining a feature recognition target for the sunshade application scenario; Based on the feature recognition target, training a scene feature recognition model for the sunshade application scenario; The scene feature recognition model is used to recognize application scene features of the sunshade application scene according to the scene image features.

[0007] Optionally, the calculating the climate coverage coefficient of the node scene image includes: Defining the climatic conditions of the node scene image; Calculating the frequency of occurrence of said climatic conditions; Based on the climate conditions and the occurrence frequency, the climate coverage coefficient of the node scene image is calculated using the following formula:

[0008] in, Represents the climate coverage factor of the node scene image, Represents the node scene image The frequency of occurrence of a climate condition, Represents the node scene image The climate condition weights of the climate conditions, Indicates the number of climate conditions corresponding to the node scene image, Represents a collection of node scene images, Represents the frequency calculation function of the climate conditions of the node scene image.

[0009] Optionally, defining the comfort factor of the canopy sunshade corresponding to the application target according to the application scenario characteristics includes: Based on the application scenario characteristics, define the scene elements of the skylight sunshade; Marking the scene element as an initial comfort factor of the application target; Establishing a comfort relationship between the initial comfort factor and the application target; Analyzing the factor correlation of the initial comfort factor; Calculating a comfort factor score of the initial comfort factor according to the comfort relationship and the factor correlation; Based on the comfort factor score, the comfort factor of the application target is screened from the initial comfort factors.

[0010] Optionally, analyzing the target lighting preference of the application target according to the target representation includes: Determining a lighting preference factor of the application target, wherein the lighting preference factor includes a user activity type, a user physical state, and a user lighting preference; Determining the lighting preference parameters of the application target, wherein the lighting preference parameters include light brightness, light color temperature, and light distribution; Establishing a correlation map between the lighting preference factor and the lighting preference parameter; By means of the association map, a lighting preference function of the application target is defined; Mapping a factor encoding of the lighting preference factor based on the target representation; Analyzing the target illumination preference code of the application target using the illumination preference function according to the factor code; The target lighting preference of the application target is determined through the target lighting preference code.

[0011] Optionally, analyzing the target illumination preference code of the application target using the illumination preference function according to the factor code includes: Defining the lighting preference factor weight of the application target according to the corresponding association map of the lighting preference function; Based on the lighting preference factor weight and the factor code, the target lighting preference code of the application target is analyzed using the lighting preference function, wherein the lighting preference function:

[0012] in, represents the target lighting preference encoding set of the application target, The target illumination preference encoding representing the illumination intensity of the application target. Indicates the target lighting preference encoding corresponding to the lighting color temperature of the application target, The target illumination preference encoding representing the illumination distribution corresponding to the application target, Represents the light intensity sub-function corresponding to the light preference function, Represents the illumination color temperature sub-function corresponding to the illumination preference function, Represents the illumination distribution sub-function corresponding to the illumination preference function, The factor encoding of the user activity type corresponding to the application goal, Indicates the factor encoding of the user's physical state corresponding to the application target, The factor encoding of the user's lighting preference corresponding to the application target, Indicates the weight of the lighting preference factor for the light intensity corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the user's physical condition to the light intensity corresponding to the application target, Indicates the weight of the lighting preference factor for the user's lighting preference for the lighting intensity corresponding to the application target, Indicates the weight of the lighting preference factor for the lighting color temperature corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the lighting color temperature corresponding to the user's physical condition of the application target, Indicates the weight of the lighting preference factor of the user's lighting preference for the lighting color temperature corresponding to the application target, Indicates the weight of the lighting preference factor for the lighting distribution corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the user's physical state on the lighting distribution corresponding to the application target, Indicates the weight of the lighting preference factor of the user's lighting preference for the lighting distribution corresponding to the application target.

[0013] Optionally, the calculating the comfort coefficient of the application target by using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference includes: According to the dynamic characteristics, defining a time weight function of the comfort factor corresponding to the application target; Based on the time weight function, calculating the factor dynamic weight of the comfort factor; Defining a comfort preference function of the comfort factor by means of the target lighting preference; Calculating a factor preference coefficient of the comfort factor based on the comfort preference function and the target lighting preference; The comfort coefficient of the application target is calculated using the dynamic comfort algorithm through the factor dynamic weights, the factor preference coefficients and the lighting environment data.

[0014] Optionally, calculating the comfort coefficient of the application target by using the dynamic comfort algorithm through the factor dynamic weight, the factor preference coefficient and the lighting environment data includes: Establishing a factor mapping function of the application target corresponding to the comfort factor; Calculating the dynamic factor value of the comfort factor according to the factor mapping function; Based on the dynamic factor value, the factor mapping function, the factor dynamic weight, the lighting environment data and the factor preference coefficient, the comfort coefficient of the application target is calculated using the dynamic comfort algorithm, wherein the dynamic comfort algorithm:

[0015] in, Indicates that the application target is The comfort factor at all times, Indicates the application target The comfort factor is The dynamic weight of the factors at the moment, represents the factor mapping function, Indicates the application target The comfort factor is The lighting environment data at each moment, Indicates the application target The comfort factor is The dynamic factor value at the moment, Indicates the application target for The comfort factor is The factor preference coefficient at time.

[0016] Optionally, the color optimization parameters of the canopy sunshade are analyzed by using the color parameter intelligent control function based on the comfort coefficient and the sunshade related data, including: Calculating the comfort loss of the comfort coefficient; Defining a color parameter group of the canopy sunshade; According to the comfort loss, analyzing the loss response coefficient of the color parameter group using the color parameter intelligent control function; According to the loss response coefficient, the color optimization parameters of the skylight sunshade are defined.

[0017] In order to solve the above problems, the present invention also provides a color intelligent control system based on a skylight sunshade, the system comprising: A factor network construction module is used to obtain a sunshade application scenario of a canopy sunshade, identify application scenario characteristics of the sunshade application scenario, define a comfort factor of the canopy sunshade corresponding to an application target according to the application scenario characteristics, and establish a factor network of the canopy sunshade according to the comfort factor; A lighting preference analysis module, for collecting sunshade related data of the application scenario based on the factor network, wherein the sunshade related data includes sunshade related data, lighting environment data and application target data, analyzing the target representation of the application target based on the application target data, and analyzing the target lighting preference of the application target according to the target representation; A comfort coefficient calculation module, used to analyze the dynamic characteristics of the comfort factor, and calculate the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference; A color parameter analysis module is used to define the color parameters of the awning sunshade, analyze the color parameter-comfort influence relationship of the awning sunshade based on the awning related data, the awning color parameters, the comfort factor and the comfort coefficient, and define the color parameter intelligent control function of the awning sunshade through the color parameter-comfort influence relationship; The color intelligent control module is used to analyze the color optimization parameters of the canopy sunshade based on the comfort coefficient and the sunshade related data using the color parameter intelligent control function, and perform color intelligent control of the canopy sunshade through the color optimization parameters.

[0018] Compared with the problems described in the background technology, the present invention provides a basis for the later analysis of the skylight sunshade by identifying the application scenario characteristics of the sunshade application scenario; the present invention analyzes the target representation of the application target based on the application target data to determine the target state of the current application target, thereby providing a basis for the later comfort analysis of the application target; further, the present invention analyzes the target lighting preference of the application target based on the target representation to effectively analyze the target lighting preference of the application target, and adjusts the shading and lighting systems accordingly to better meet the needs of users; further, the present invention calculates the comfort coefficient of the application target based on the dynamic characteristics, the lighting environment data and the target lighting preference using a preset dynamic comfort algorithm, thereby improving the comfort improvement effect on the user. Further, the present invention analyzes the color parameter-comfort influence relationship of the canopy sunshade based on the sunshade related data, the sunshade color parameters, the comfort factor and the comfort coefficient to establish an effective system, which provides a basis for intelligently adjusting the color parameters of the canopy sunshade. Next, the present invention defines the color parameter intelligent control function of the canopy sunshade through the color parameter-comfort influence relationship, which can respond to environmental changes in real time and automatically adjust the color parameters to provide a continuously optimized comfort experience. Finally, based on the comfort coefficient and the sunshade related data, the present invention uses the color parameter intelligent control function to analyze the color optimization parameters of the canopy sunshade to ensure that the color parameters of the canopy sunshade are continuously optimized to provide the best comfort experience. Therefore, the present invention can improve the comfort of users under the canopy sunshade. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic diagram of a flow chart of a color intelligent control method based on a skylight sunshade provided in one embodiment of the present invention; Figure 2 A functional module diagram of a color intelligent control system based on a skylight sunshade provided in one embodiment of the present invention; Figure 3 A schematic diagram of the structure of an electronic device based on a color intelligent control system of a skylight sunshade provided by an embodiment of the present invention; The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0021] The embodiment of the present application provides a color intelligent control method based on a canopy sunshade. The execution subject of the color intelligent control method based on the canopy sunshade includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the color intelligent control method based on the canopy sunshade can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0022] Embodiment 1: Reference Figure 1 FIG. 1 is a flow chart of a color intelligent control method based on a canopy sunshade provided by an embodiment of the present invention. In this embodiment, the color intelligent control method based on a canopy sunshade includes: S1. Obtain an application scenario of a awning sunshade, identify application scenario characteristics of the awning sunshade application scenario, define a comfort factor of the awning sunshade corresponding to an application target according to the application scenario characteristics, and establish a factor network of the awning sunshade according to the comfort factor.

[0023] It should be explained that the skylight sunshade refers to a device installed on a building structure (such as a skylight, window, glass curtain wall, etc.) to block direct sunlight and adjust indoor lighting and temperature. The application scenario of the sunshade refers to the specific occasions and environment where the skylight sunshade is used.

[0024] The present invention provides a basis for the later analysis of the skylight sunshade by identifying the application scenario characteristics of the sunshade application scenario.

[0025] In detail, the identifying application scenario features of the sunshade application scenario includes: Defining the time coverage node of the sunshade application scenario; Collecting a node scene image of a node covered by the sunshade application scenario at the time; Calculating the climate coverage factor of the node scene image; When the climate coverage coefficient meets the preset climate coverage threshold, optimizing the node scene image to obtain an optimized node scene image; Extracting scene image features of the optimization node scene image, wherein the scene image features include image shape features, image texture features, image color features, and image object spatial relationships; Determining a feature recognition target for the sunshade application scenario; Based on the feature recognition target, training a scene feature recognition model for the sunshade application scenario; The scene feature recognition model is used to recognize application scene features of the sunshade application scene according to the scene image features.

[0026] Among them, the time coverage node refers to the key time point used to represent the sunshade application scene, which may include different time periods of the day (such as morning, noon, afternoon, and evening), different seasons, and specific weather conditions (such as sunny days, cloudy days, and rainy days). The node scene image refers to the image collected at the time coverage node, which represents the visual state of the sunshade application scene at a specific time point. The climate coverage coefficient refers to a quantitative indicator used to describe the diversity of climate conditions in the node scene image. The climate coverage threshold refers to the climate coverage coefficient standard used to determine whether the node scene image is sufficient to represent the climate diversity of the sunshade application scene. The optimized node scene image refers to a series of processing (such as enhancement, segmentation, denoising) on ​​the original node scene image. The image shape feature refers to the information about the object contour and structure extracted from the image, the image texture feature refers to the attribute describing the texture in the image, such as roughness, directionality, contrast and other attributes, the image color feature refers to the distribution and combination information of colors in the image, the image object spatial relationship refers to the description of the relative position and layout between different objects in the image, the feature recognition target refers to the specific goal to be achieved in scene feature recognition, for example, identifying the type, size, scene climate, scene temperature, scene structure and other targets of the sunshade, the scene feature recognition model refers to a model that can recognize and extract specific scene features from the image after training, and the application scene feature refers to the specific attribute of the sunshade application scene identified from the image.

[0027] Further, the calculating the climate coverage coefficient of the node scene image includes: Defining the climatic conditions of the node scene image; Calculating the frequency of occurrence of said climatic conditions; Based on the climate conditions and the occurrence frequency, the climate coverage coefficient of the node scene image is calculated using the following formula:

[0028] in, Represents the climate coverage factor of the node scene image, Represents the node scene image The frequency of occurrence of a climate condition, Represents the node scene image The climate condition weights of the climate conditions, Indicates the number of climate conditions corresponding to the node scene image, Represents a collection of node scene images, Represents the frequency calculation function of the climate conditions of the node scene image.

[0029] Among them, the climate conditions refer to different weather conditions or environmental factors that can be identified and distinguished in a scene image at a specific time node. These conditions may include but are not limited to sunny, cloudy, overcast, rainy, snowy, windy, temperature, humidity, etc. The frequency of occurrence refers to the number of times or proportions of a specific climate condition in a node scene image. The climate coverage coefficient refers to the comprehensive coverage of various climate conditions in the node scene image. The climate condition weight refers to the relative importance value assigned to each climate condition. The size of the weight depends on the degree of influence of the climate condition on the performance and function of the sunshade. For example, a sunny day may be given a higher weight because a stronger sunshade effect is required. The climate condition frequency calculation function refers to a function used to calculate the frequency of occurrence of a certain climate condition in a specific node scene image. This function can be an algorithm based on image analysis, using pattern recognition technology to estimate the occurrence of climate conditions.

[0030] The present invention defines the comfort factor of the canopy sunshade corresponding to the application target according to the application scenario characteristics, thereby providing a basis for improving the parameter optimization of the canopy sunshade product.

[0031] In detail, the comfort factor of the canopy sunshade corresponding to the application target is defined according to the application scenario characteristics, including: Based on the application scenario characteristics, define the scene elements of the skylight sunshade; Marking the scene element as an initial comfort factor of the application target; Establishing a comfort relationship between the initial comfort factor and the application target; Analyzing the factor correlation of the initial comfort factor; Calculating a comfort factor score of the initial comfort factor according to the comfort relationship and the factor correlation; Based on the comfort factor score, the comfort factor of the application target is screened from the initial comfort factors.

[0032] Among them, the scene elements refer to various environmental, user behavior and product characteristics that can be identified and considered in the canopy sunshade application scene. These elements may include but are not limited to weather conditions, time, geographic location, user activity patterns, indoor and outdoor temperature, light level, sunshade material and design, etc. The initial comfort factor refers to various parameters that may affect user comfort that are preliminarily determined based on the scene elements. The comfort relationship refers to the relationship and influence between the initial comfort factor and the comfort of the application target. The factor correlation refers to the relationship and degree of dependence between different initial comfort factors. The comfort factor score refers to a value assigned to each factor by quantitatively analyzing the initial comfort factor. The comfort factor refers to a screened and confirmed factor that has a significant impact on the comfort of the application target.

[0033] Optionally, the calculation of the comfort factor score of the initial comfort factor based on the comfort relationship and the factor correlation may be performed by constructing a hierarchical model through a hierarchy analysis method for analysis.

[0034] According to the comfort factor, a factor network of the skylight sunshade is established to improve the reliability of data collection.

[0035] Specifically, the factor network of the canopy sunshade can be established according to the comfort factor by configuring sensors for different comfort factors and linking the network interfaces of the sensors to obtain a factor network. The factor network refers to a network that can collect data related to the canopy sunshade in real time.

[0036] S2. Collect sunshade related data of the application scenario based on the factor network, wherein the sunshade related data includes sunshade related data, lighting environment data and application target data; analyze the target representation of the application target based on the application target data; and analyze the target lighting preference of the application target according to the target representation.

[0037] It should be explained that the sunshade related data includes data such as sunshade material properties, sunshade structural parameters, and sunshade control status; the lighting environment data includes data such as solar radiation intensity, lighting direction, lighting time, and sky brightness distribution; and the application target data includes data such as indoor temperature, indoor light level, thermal comfort, and user behavior.

[0038] The present invention is based on the application target data and analyzes the target representation of the application target to determine the target state of the current application target, thereby providing a basis for the later comfort analysis of the application target. The application target refers to the user who uses the canopy sunshade, and the target representation refers to the characteristic attributes of the application target, such as action characteristics, physical characteristics, psychological characteristics, etc.

[0039] The present invention analyzes the target lighting preference of the application target according to the target representation, which can effectively analyze the target lighting preference of the application target, and adjust the shading and lighting system accordingly to better meet the needs of users.

[0040] In detail, analyzing the target lighting preference of the application target according to the target representation includes: Determining a lighting preference factor of the application target, wherein the lighting preference factor includes a user activity type, a user physical state, and a user lighting preference; Determining the lighting preference parameters of the application target, wherein the lighting preference parameters include light brightness, light color temperature, and light distribution; Establishing a correlation map between the lighting preference factor and the lighting preference parameter; By means of the association map, a lighting preference function of the application target is defined; Mapping a factor encoding of the lighting preference factor based on the target representation; Analyzing the target illumination preference code of the application target using the illumination preference function according to the factor code; The target lighting preference of the application target is determined through the target lighting preference code.

[0041] The user activity type refers to the specific activities performed by the user in a specific space, such as work, reading, rest, meeting, etc. The user physical state refers to the user's physiological and psychological state, including fatigue level, visual comfort, health status, etc. The user lighting preference refers to the user's specific preference for lighting, including personal preference for brightness, color temperature, and lighting distribution. The light brightness refers to the intensity of light, the light color temperature refers to the color quality of light, the light distribution refers to the distribution pattern of light in space, including uniform distribution, focusing, diffusion, etc. The association map refers to a light preference factor The invention relates to a graph that associates user factors (such as user activity type, user physical condition, user lighting preference) with lighting preference parameters (such as light brightness, lighting color temperature, and lighting distribution); the lighting preference function refers to a function that maps lighting preference factors to lighting preference parameters according to the associated graph; the factor encoding refers to converting the specific value of the lighting preference factor into a numerical encoding that can be used for the lighting preference function; the target lighting preference encoding refers to an encoding result obtained by analyzing the lighting preference function, which represents the lighting preference of the application target; the target lighting preference refers to the lighting setting required for the application target that is finally determined according to the target lighting preference encoding.

[0042] Further, the step of analyzing the target illumination preference code of the application target using the illumination preference function according to the factor code includes: Defining the lighting preference factor weight of the application target according to the corresponding association map of the lighting preference function; Based on the lighting preference factor weight and the factor code, the target lighting preference code of the application target is analyzed using the lighting preference function, wherein the lighting preference function:

[0043] in, represents the target lighting preference encoding set of the application target, The target illumination preference encoding representing the illumination intensity of the application target. Indicates the target lighting preference encoding corresponding to the lighting color temperature of the application target, The target illumination preference encoding representing the illumination distribution corresponding to the application target, Represents the light intensity sub-function corresponding to the light preference function, Represents the illumination color temperature sub-function corresponding to the illumination preference function, Represents the illumination distribution sub-function corresponding to the illumination preference function, The factor encoding of the user activity type corresponding to the application goal, Indicates the factor encoding of the user's physical state corresponding to the application target, The factor encoding of the user's lighting preference corresponding to the application target, Indicates the weight of the lighting preference factor for the light intensity corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the user's physical condition to the light intensity corresponding to the application target, Indicates the weight of the lighting preference factor for the user's lighting preference for the lighting intensity corresponding to the application target, Indicates the weight of the lighting preference factor for the lighting color temperature corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the lighting color temperature corresponding to the user's physical condition of the application target, Indicates the weight of the lighting preference factor of the user's lighting preference for the lighting color temperature corresponding to the application target, Indicates the weight of the lighting preference factor for the lighting distribution corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the user's physical state on the lighting distribution corresponding to the application target, Indicates the weight of the lighting preference factor of the user's lighting preference for the lighting distribution corresponding to the application target.

[0044] The illumination preference factor weight refers to the relative importance value assigned to different illumination preference factors, and these weights are used in the illumination preference function to adjust the influence of each factor on the final illumination preference encoding. The illumination brightness sub-function refers to the function used by the illumination preference function to calculate the illumination brightness parameter, the illumination color temperature sub-function refers to the function used by the illumination preference function to calculate the illumination color temperature parameter, and the illumination distribution sub-function refers to the function used by the illumination preference function to calculate the illumination distribution parameter.

[0045] S3. Analyze the dynamic characteristics of the comfort factor, and calculate the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference.

[0046] It should be explained that the dynamic characteristics refer to those characteristics that change with time or other conditions.

[0047] The present invention calculates the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference, thereby improving the comfort improvement effect on the user.

[0048] In detail, the calculation of the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference includes: According to the dynamic characteristics, defining a time weight function of the comfort factor corresponding to the application target; Based on the time weight function, calculating the factor dynamic weight of the comfort factor; Defining a comfort preference function of the comfort factor by means of the target lighting preference; Calculating a factor preference coefficient of the comfort factor based on the comfort preference function and the target lighting preference; The comfort coefficient of the application target is calculated using the dynamic comfort algorithm through the factor dynamic weights, the factor preference coefficients and the lighting environment data.

[0049] Among them, the time weight function refers to a function used to describe the weight of the comfort factor changing over time. It reflects the degree of influence of the comfort factor on the overall comfort in different time periods. The dynamic weight refers to the one calculated based on the time weight function, which indicates the influence of a certain comfort factor on the overall comfort at a specific time point. The comfort preference function refers to a function used to describe the personalized preference of the application target for comfort. The factor preference coefficient refers to the value calculated based on the comfort preference function, which indicates the preference of the application target for a specific comfort factor. The comfort coefficient refers to the comprehensive comfort level of the application target outputted by the dynamic comfort algorithm.

[0050] Furthermore, the calculation of the comfort coefficient of the application target by using the dynamic comfort algorithm through the dynamic weight of the factor, the factor preference coefficient and the lighting environment data includes: Establishing a factor mapping function of the application target corresponding to the comfort factor; Calculating the dynamic factor value of the comfort factor according to the factor mapping function; Based on the dynamic factor value, the factor mapping function, the factor dynamic weight, the lighting environment data and the factor preference coefficient, the comfort coefficient of the application target is calculated using the dynamic comfort algorithm, wherein the dynamic comfort algorithm:

[0051] in, Indicates that the application target is The comfort factor at all times, Indicates the application target The comfort factor is The dynamic weight of the factors at the moment, represents the factor mapping function, Indicates the application target The comfort factor is The lighting environment data at each moment, Indicates the application target The comfort factor is The dynamic factor value at the moment, Indicates the application target for The comfort factor is The factor preference coefficient at time.

[0052] Among them, the factor mapping function refers to a function used to convert original environmental data or user behavior data into a comfort factor value, the dynamic factor value refers to the value calculated by the factor mapping function, which represents the actual value of the comfort factor corresponding to the application target at a specific time point, and the dynamic comfort algorithm refers to a function that combines the dynamic factor value, the factor dynamic weight, the lighting environment data and the factor preference coefficient to calculate the comfort factor of the application target at a specific time point.

[0053] S4. Define the sunshade color parameters of the awning sunshade, analyze the color parameter-comfort influence relationship of the awning sunshade based on the sunshade related data, the sunshade color parameters, the comfort factor and the comfort coefficient, and define the color parameter intelligent control function of the awning sunshade through the color parameter-comfort influence relationship.

[0054] It should be explained that the sunshade color parameters refer to various parameters used to describe the color characteristics of the sunshade, including parameters such as hue, saturation, and brightness.

[0055] The present invention is based on the sunshade related data, the sunshade color parameters, the comfort factor and the comfort coefficient, and analyzes the color parameter-comfort influence relationship of the canopy sunshade to establish an effective system, providing a basis for intelligently adjusting the color parameters of the canopy sunshade.

[0056] In detail, the analyzing the color parameter-comfort influence relationship of the canopy sunshade based on the sunshade related data, the sunshade color parameter, the comfort factor and the comfort coefficient includes: Analyze the effect of the sunshade color parameters on the illumination of the canopy sunshade; Based on the illumination influence and the sunshade related data, defining a parameter-factor association relationship between the sunshade color parameter and the comfort factor; The color parameter-comfort influence relationship of the skylight sunshade is analyzed through the parameter-factor association relationship, the sunshade related data and the comfort coefficient.

[0057] Among them, the lighting impact refers to the impact of changes in the color parameters of the skylight sunshade on the lighting characteristics (such as light intensity, spectral distribution, color temperature, etc.) passing through the sunshade, the parameter-factor association relationship refers to the quantitative relationship between the color parameters of the sunshade and the various factors affecting comfort, and the color parameter-comfort influence relationship refers to the influence pattern of changes in the color parameters of the sunshade on the overall comfort level.

[0058] The present invention defines the color parameter intelligent control function of the canopy sunshade through the color parameter-comfort influence relationship, which can respond to environmental changes in real time and automatically adjust the color parameters to provide a continuously optimized comfort experience. The color parameter intelligent control function refers to a function that automatically outputs the optimal color parameter setting based on the input environmental data and the user's comfort requirements. In detail, the color parameter intelligent control function can be constructed by finding the color parameter that minimizes the comfort loss function through gradient descent.

[0059] S5. Based on the comfort coefficient and the sunshade related data, the color parameter intelligent control function is used to analyze the color optimization parameters of the canopy sunshade, and the color intelligent control of the canopy sunshade is performed through the color optimization parameters.

[0060] The present invention analyzes the color optimization parameters of the canopy sunshade based on the comfort coefficient and the sunshade related data using the color parameter intelligent control function to ensure that the color parameters of the canopy sunshade are continuously optimized to provide the best comfort experience.

[0061] In detail, the color optimization parameters of the canopy sunshade are analyzed by using the color parameter intelligent control function based on the comfort coefficient and the sunshade related data, including: Calculating the comfort loss of the comfort coefficient; Defining a color parameter group of the canopy sunshade; According to the comfort loss, analyzing the loss response coefficient of the color parameter group using the color parameter intelligent control function; According to the loss response coefficient, the color optimization parameters of the skylight sunshade are defined.

[0062] Among them, the comfort loss refers to the difference between the actual comfort and the ideal comfort, the color parameter group refers to a group of variables used to describe the color of the skylight sunshade, these variables may include hue, saturation, brightness, color temperature and other parameters, the loss response coefficient refers to the sensitivity of the color parameter group to the change of comfort loss, and the color optimization parameters refer to a set of optimized color parameter values ​​determined after analysis by the intelligent control function in order to minimize the comfort loss.

[0063] Finally, the present invention uses the color optimization parameters to perform intelligent color regulation of the canopy sunshade to achieve efficient control of the canopy sunshade, thereby improving the user's comfort level.

[0064] Compared with the problems described in the background technology, the present invention provides a basis for the later analysis of the skylight sunshade by identifying the application scenario characteristics of the sunshade application scenario; the present invention analyzes the target representation of the application target based on the application target data to determine the target state of the current application target, thereby providing a basis for the later comfort analysis of the application target; further, the present invention analyzes the target lighting preference of the application target based on the target representation to effectively analyze the target lighting preference of the application target, and adjusts the shading and lighting systems accordingly to better meet the needs of users; further, the present invention calculates the comfort coefficient of the application target based on the dynamic characteristics, the lighting environment data and the target lighting preference using a preset dynamic comfort algorithm, thereby improving the comfort improvement effect on the user. Further, the present invention analyzes the color parameter-comfort influence relationship of the canopy sunshade based on the sunshade related data, the sunshade color parameters, the comfort factor and the comfort coefficient to establish an effective system, which provides a basis for intelligently adjusting the color parameters of the canopy sunshade. Next, the present invention defines the color parameter intelligent control function of the canopy sunshade through the color parameter-comfort influence relationship, which can respond to environmental changes in real time and automatically adjust the color parameters to provide a continuously optimized comfort experience. Finally, based on the comfort coefficient and the sunshade related data, the present invention uses the color parameter intelligent control function to analyze the color optimization parameters of the canopy sunshade to ensure that the color parameters of the canopy sunshade are continuously optimized to provide the best comfort experience. Therefore, the present invention can improve the comfort of users under the canopy sunshade.

[0065] Embodiment 2: like Figure 2 , is a functional module diagram of a color intelligent control system based on a skylight sunshade provided by an embodiment of the present invention.

[0066] The color intelligent control system 200 based on the canopy sunshade of the present invention can be installed in an electronic device. According to the functions to be implemented, the color intelligent control system 200 based on the canopy sunshade can include a factor network construction module 201, a light preference analysis module 202, a comfort coefficient calculation module 203, a color parameter analysis module 204 and a color intelligent control module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0067] In this embodiment, the functions of each module / unit are as follows: The factor network construction module 201 is used to obtain the sunshade application scenario of the awning sunshade, identify the application scenario characteristics of the sunshade application scenario, define the comfort factor of the awning sunshade corresponding to the application target according to the application scenario characteristics, and establish the factor network of the awning sunshade according to the comfort factor; The lighting preference analysis module 202 is used to collect sunshade related data of the application scenario based on the factor network, wherein the sunshade related data includes sunshade related data, lighting environment data and application target data, analyze the target representation of the application target based on the application target data, and analyze the target lighting preference of the application target according to the target representation; The comfort coefficient calculation module 203 is used to analyze the dynamic characteristics of the comfort factor, and calculate the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference; The color parameter analysis module 204 is used to define the color parameters of the awning sunshade, analyze the color parameter-comfort influence relationship of the awning sunshade based on the awning related data, the awning color parameters, the comfort factor and the comfort coefficient, and define the color parameter intelligent control function of the awning sunshade through the color parameter-comfort influence relationship; The color intelligent control module 205 is used to analyze the color optimization parameters of the canopy sunshade based on the comfort coefficient and the sunshade related data using the color parameter intelligent control function, and perform color intelligent control of the canopy sunshade through the color optimization parameters.

[0068] In detail, the modules described in the color intelligent control system 200 based on the skylight sunshade in the embodiment of the present invention adopt the same technical means as the color intelligent control method based on the skylight sunshade described in the accompanying drawings when in use, and can produce the same technical effects, which will not be repeated here.

[0069] An embodiment of the present invention provides an electronic device for implementing a color intelligent control method based on a skylight sunshade.

[0070] See also Figure 3 As shown, the electronic device may include a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for an intelligent color control method based on a skylight sunshade.

[0071] In some embodiments, the processor may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips. The processor is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device. It runs or executes programs or modules stored in the memory (for example, executing a color intelligent control program based on a skylight sunshade, etc.), and calls data stored in the memory to execute various functions of the electronic device and process data.

[0072] The memory includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (for example, SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory may also include both an internal storage unit of the electronic device and an external storage device. The memory can be used not only to store application software and various types of data installed in the electronic device, such as codes based on the color intelligent control program based on the skylight sunshade, but also to temporarily store data that has been output or is to be output.

[0073] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0074] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0075] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0076] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0077] The color intelligent control program based on the skylight sunshade stored in the memory of the electronic device is a combination of multiple instructions. When running in the processor, it can achieve: Acquire a sunshade application scenario of a canopy sunshade, identify application scenario characteristics of the sunshade application scenario, define a comfort factor of the canopy sunshade corresponding to an application target according to the application scenario characteristics, and establish a factor network of the canopy sunshade according to the comfort factor; collect sunshade-related data of the application scenario based on the factor network, wherein the sunshade-related data includes sunshade-related data, lighting environment data, and application target data; analyze a target representation of the application target based on the application target data; and analyze a target lighting preference of the application target according to the target representation; Analyzing the dynamic characteristics of the comfort factor, and calculating the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference; Define the sunshade color parameters of the awning sunshade, analyze the color parameter-comfort influence relationship of the awning sunshade based on the sunshade related data, the sunshade color parameters, the comfort factor and the comfort coefficient, and define the color parameter intelligent control function of the awning sunshade through the color parameter-comfort influence relationship; Based on the comfort coefficient and the sunshade related data, the color parameter intelligent control function is used to analyze the color optimization parameters of the canopy sunshade, and the color intelligent control of the canopy sunshade is performed through the color optimization parameters.

[0078] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0079] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system that can carry the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0080] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement: Acquire a sunshade application scenario of a canopy sunshade, identify application scenario characteristics of the sunshade application scenario, define a comfort factor of the canopy sunshade corresponding to an application target according to the application scenario characteristics, and establish a factor network of the canopy sunshade according to the comfort factor; Based on the factor network, collecting sunshade related data of the application scenario, wherein the sunshade related data includes sunshade related data, lighting environment data and application target data, analyzing the target representation of the application target based on the application target data, and analyzing the target lighting preference of the application target according to the target representation; Analyzing the dynamic characteristics of the comfort factor, and calculating the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference; Define the sunshade color parameters of the awning sunshade, analyze the color parameter-comfort influence relationship of the awning sunshade based on the sunshade related data, the sunshade color parameters, the comfort factor and the comfort coefficient, and define the color parameter intelligent control function of the awning sunshade through the color parameter-comfort influence relationship; Based on the comfort coefficient and the sunshade related data, the color parameter intelligent control function is used to analyze the color optimization parameters of the canopy sunshade, and the color intelligent control of the canopy sunshade is performed through the color optimization parameters.

[0081] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0082] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0083] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0084] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0085] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0086] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0087] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

Claims

1. A color intelligent control method based on a skylight sunshade, characterized in that: The method comprises: Acquire a sunshade application scenario of a canopy sunshade, identify application scenario characteristics of the sunshade application scenario, define a comfort factor of the canopy sunshade corresponding to an application target according to the application scenario characteristics, and establish a factor network of the canopy sunshade according to the comfort factor; Based on the factor network, collecting sunshade related data of the application scenario, wherein the sunshade related data includes sunshade related data, lighting environment data and application target data, analyzing the target representation of the application target based on the application target data, and analyzing the target lighting preference of the application target according to the target representation; Analyzing the dynamic characteristics of the comfort factor, and calculating the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference; Define the sunshade color parameters of the awning sunshade, analyze the color parameter-comfort influence relationship of the awning sunshade based on the sunshade related data, the sunshade color parameters, the comfort factor and the comfort coefficient, and define the color parameter intelligent control function of the awning sunshade through the color parameter-comfort influence relationship; Based on the comfort coefficient and the sunshade related data, the color parameter intelligent control function is used to analyze the color optimization parameters of the canopy sunshade, and the color intelligent control of the canopy sunshade is performed through the color optimization parameters.

2. The color intelligent control method based on the skylight sunshade according to claim 1 is characterized in that: The identifying application scenario features of the sunshade application scenario includes: Defining the time coverage node of the sunshade application scenario; Collecting a node scene image of a node covered by the sunshade application scenario at the time; Calculating the climate coverage factor of the node scene image; When the climate coverage coefficient meets the preset climate coverage threshold, optimizing the node scene image to obtain an optimized node scene image; Extracting scene image features of the optimization node scene image, wherein the scene image features include image shape features, image texture features, image color features, and image object spatial relationships; Determining a feature recognition target for the sunshade application scenario; Based on the feature recognition target, training a scene feature recognition model for the sunshade application scenario; The scene feature recognition model is used to recognize application scene features of the sunshade application scene according to the scene image features.

3. The color intelligent control method based on the skylight sunshade according to claim 2 is characterized in that: The calculating of the climate coverage coefficient of the node scene image comprises: Defining the climatic conditions of the node scene image; Calculating the frequency of occurrence of said climatic conditions; Based on the climate conditions and the occurrence frequency, the climate coverage coefficient of the node scene image is calculated using the following formula: in, Represents the climate coverage factor of the node scene image, Represents the node scene image The frequency of occurrence of climate conditions, Represents the node scene image The climate condition weights of the climate conditions, Indicates the number of climate conditions corresponding to the node scene image, Represents a collection of node scene images, Represents the frequency calculation function of the climate conditions of the node scene image.

4. The color intelligent control method based on the skylight sunshade according to claim 3 is characterized in that: Defining the comfort factor of the skylight sunshade corresponding to the application target according to the application scenario characteristics includes: Based on the application scenario characteristics, define the scene elements of the skylight sunshade; Marking the scene element as an initial comfort factor of the application target; Establishing a comfort relationship between the initial comfort factor and the application target; Analyzing the factor correlation of the initial comfort factor; Calculating a comfort factor score of the initial comfort factor according to the comfort relationship and the factor correlation; Based on the comfort factor score, the comfort factor of the application target is screened from the initial comfort factors.

5. The color intelligent control method based on the skylight sunshade according to claim 4 is characterized in that: The step of analyzing the target lighting preference of the application target according to the target representation includes: Determining a lighting preference factor of the application target, wherein the lighting preference factor includes a user activity type, a user physical state, and a user lighting preference; Determining the lighting preference parameters of the application target, wherein the lighting preference parameters include light brightness, light color temperature, and light distribution; Establishing a correlation map between the lighting preference factor and the lighting preference parameter; By means of the association map, a lighting preference function of the application target is defined; Mapping a factor encoding of the lighting preference factor based on the target representation; Analyzing the target illumination preference code of the application target using the illumination preference function according to the factor code; The target lighting preference of the application target is determined through the target lighting preference code.

6. The color intelligent control method based on the skylight sunshade according to claim 5 is characterized in that: The step of analyzing the target illumination preference code of the application target by using the illumination preference function according to the factor code comprises: Defining the lighting preference factor weight of the application target according to the corresponding association map of the lighting preference function; Based on the lighting preference factor weight and the factor code, the target lighting preference code of the application target is analyzed using the lighting preference function, wherein the lighting preference function: in, represents the target lighting preference encoding set of the application target, The target illumination preference encoding representing the illumination intensity of the application target. Indicates the target lighting preference encoding corresponding to the lighting color temperature of the application target, The target illumination preference encoding representing the illumination distribution corresponding to the application target, Represents the light intensity sub-function corresponding to the light preference function, Represents the illumination color temperature sub-function corresponding to the illumination preference function, Represents the illumination distribution sub-function corresponding to the illumination preference function, The factor encoding of the user activity type corresponding to the application goal, Indicates the factor encoding of the user's physical state corresponding to the application target, The factor encoding of the user's lighting preference corresponding to the application target, Indicates the weight of the lighting preference factor for the light intensity corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the user's physical condition to the light intensity corresponding to the application target, Indicates the weight of the lighting preference factor for the user's lighting preference for the lighting intensity corresponding to the application target, Indicates the weight of the lighting preference factor for the lighting color temperature corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the lighting color temperature corresponding to the user's physical condition of the application target, Indicates the weight of the lighting preference factor of the user's lighting preference for the lighting color temperature corresponding to the application target, Indicates the weight of the lighting preference factor for the lighting distribution corresponding to the user activity type of the application target, Indicates the weight of the lighting preference factor for the user's physical state on the lighting distribution corresponding to the application target, Indicates the weight of the lighting preference factor of the user's lighting preference for the lighting distribution corresponding to the application target.

7. The color intelligent control method based on the skylight sunshade according to claim 6 is characterized in that: The step of calculating the comfort coefficient of the application target by using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference includes: According to the dynamic characteristics, defining a time weight function of the comfort factor corresponding to the application target; Based on the time weight function, calculating the factor dynamic weight of the comfort factor; Defining a comfort preference function of the comfort factor by means of the target lighting preference; Calculating a factor preference coefficient of the comfort factor based on the comfort preference function and the target lighting preference; The comfort coefficient of the application target is calculated using the dynamic comfort algorithm through the factor dynamic weights, the factor preference coefficients and the lighting environment data.

8. The color intelligent control method based on the skylight sunshade according to claim 7 is characterized in that: The step of calculating the comfort coefficient of the application target by using the dynamic comfort algorithm through the dynamic weight of the factor, the preference coefficient of the factor and the lighting environment data includes: Establishing a factor mapping function of the application target corresponding to the comfort factor; Calculating the dynamic factor value of the comfort factor according to the factor mapping function; Based on the dynamic factor value, the factor mapping function, the factor dynamic weight, the lighting environment data and the factor preference coefficient, the comfort coefficient of the application target is calculated using the dynamic comfort algorithm, wherein the dynamic comfort algorithm: in, Indicates that the application target is The comfort factor at all times, Indicates the application target The comfort factor is The dynamic weight of the factors at the moment, represents the factor mapping function, Indicates the application target The comfort factor is The lighting environment data at each moment, Indicates the application target The comfort factor is The dynamic factor value at the moment, Indicates the application target for The comfort factor is The factor preference coefficient at time.

9. The color intelligent control method based on the skylight sunshade according to claim 8 is characterized in that: The color optimization parameters of the canopy sunshade are analyzed by using the color parameter intelligent control function based on the comfort coefficient and the sunshade related data, including: Calculating the comfort loss of the comfort coefficient; Defining a color parameter group of the canopy sunshade; According to the comfort loss, analyzing the loss response coefficient of the color parameter group using the color parameter intelligent control function; According to the loss response coefficient, the color optimization parameters of the skylight sunshade are defined.

10. A color intelligent control system based on a skylight sunshade, characterized in that: The system is used to execute the color intelligent control method based on the skylight sunshade according to any one of claims 1 to 9, and comprises: A factor network construction module is used to obtain a sunshade application scenario of a canopy sunshade, identify application scenario characteristics of the sunshade application scenario, define a comfort factor of the canopy sunshade corresponding to an application target according to the application scenario characteristics, and establish a factor network of the canopy sunshade according to the comfort factor; A lighting preference analysis module, for collecting sunshade related data of the application scenario based on the factor network, wherein the sunshade related data includes sunshade related data, lighting environment data and application target data, analyzing the target representation of the application target based on the application target data, and analyzing the target lighting preference of the application target according to the target representation; A comfort coefficient calculation module, used to analyze the dynamic characteristics of the comfort factor, and calculate the comfort coefficient of the application target using a preset dynamic comfort algorithm according to the dynamic characteristics, the lighting environment data and the target lighting preference; A color parameter analysis module is used to define the color parameters of the awning sunshade, analyze the color parameter-comfort influence relationship of the awning sunshade based on the awning related data, the awning color parameters, the comfort factor and the comfort coefficient, and define the color parameter intelligent control function of the awning sunshade through the color parameter-comfort influence relationship; The color intelligent control module is used to analyze the color optimization parameters of the canopy sunshade based on the comfort coefficient and the sunshade related data using the color parameter intelligent control function, and perform color intelligent control of the canopy sunshade through the color optimization parameters.

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