Infant healthy lighting control method and system based on color temperature parameter dynamic adjustment

Abstract

The invention relates to the technical field of healthy lighting, solves the problems that in the prior art, an appropriate color temperature environment cannot be provided for infants, and health damage is caused to the infants due to poor lighting conditions, and provides an infant healthy lighting control method and system based on color temperature parameter dynamic adjustment. The method comprises the following steps: acquiring real-time environment illumination parameters, infant age and to-be-processed data in an infant nursing scene; classifying the to-be-processed data into training set data and test set data; inputting the training set data into a recurrent neural network to obtain a color temperature adjustment initial model; evaluating by using the test set data to obtain a color temperature adjustment model; inputting the environment illumination parameter and the infant age into a color temperature adjustment model to obtain a first illumination parameter; and performing secondary adjustment on the first illumination parameter to obtain a target illumination parameter, and controlling the illumination equipment to perform illumination. According to the invention, an appropriate color temperature environment can be provided for infants, and the comfort level of the infants is improved.

Description

[0001] This application is a divisional application of the invention patent application filed on April 18, 2023, with the invention name “Scene-based adaptive infant health lighting control method and system” and application number 202310411760.0. Technical Field

[0002] The present invention relates to the field of healthy lighting technology, and in particular to a healthy lighting control method and system for infants and young children based on dynamic adjustment of color temperature parameters. Background Art

[0003] In the process of human evolution, natural light has been continuously improved and utilized. Natural light has left a deep imprint on the course of human evolution. The optical biological clock formed by sunrise and sunset, the range of vision under sunlight, and the changes in light color during the day and night, all things have adapted to the sun's light and bathing. The emergence of artificial light has changed the circadian rhythm of natural light, and excessive use will cause problems such as visual fatigue, insomnia, light radiation hazards and biological rhythm disorders.

[0004] In the care scenarios for infants and young children, there are many types of infant and young child care scenarios, such as infant sleeping scenes, dining scenes, crying scenes and playing scenes, etc. However, in the above-mentioned multiple scenarios, traditional lighting control methods can only provide a single lighting method. Since infants and young children are young and their physical development is extremely incomplete compared to adults, the problems of immature body organs and imperfect system functions make infants and young children vulnerable to adverse external lighting conditions. For example, when infants and young children are in a scene with inappropriate color temperature, the blue light in the cool light will also have an adverse effect on the infant's eye development; an environment with inappropriate color temperature will also slowly affect the infant's mental state and damage the infant's physical and mental health.

[0005] Therefore, how to provide infants and young children with a suitable color temperature environment and avoid poor lighting conditions causing health damage to infants and young children is an urgent problem to be solved. Summary of the invention

[0006] In view of this, the present invention provides a method and system for controlling healthy lighting for infants and young children based on dynamic adjustment of color temperature parameters, so as to solve the problem in the prior art that a suitable color temperature environment cannot be provided for infants and young children, and poor lighting conditions cause health damage to infants and young children.

[0007] The technical solution adopted by the present invention is:

[0008] In a first aspect, the present invention provides a method for controlling healthy lighting for infants and young children based on dynamic adjustment of color temperature parameters, the method comprising:

[0009] Acquire real-time ambient lighting parameters in an infant care scenario, preset infant ages, and data to be processed under multiple target lighting conditions related to infant care, wherein the data to be processed includes: sample ambient lighting parameters under each of the target lighting conditions and multiple sample color temperature parameters matching each of the target lighting conditions;

[0010] Preprocessing the data to be processed, classifying the data to be processed into training set data and test set data after standardization;

[0011] Inputting the training set data into a recurrent neural network for deep learning and training to obtain an initial color temperature regulation model;

[0012] Using the test set data to evaluate the color temperature adjustment initial model, and adjusting the initial model according to the evaluation result to obtain the color temperature adjustment model;

[0013] Inputting the ambient light parameters and the age of the infant into the color temperature adjustment model, adjusting the color temperature in the ambient light parameters, and obtaining a first light parameter with a color temperature suitable for the current environment;

[0014] Performing a second adjustment on the first illumination parameter to obtain a second illumination parameter suitable for the current physiological state of the infant as a target illumination parameter;

[0015] According to the target lighting parameters, the lighting equipment is controlled to perform lighting to complete healthy lighting in the current infant care scene.

[0016] Preferably, the second adjustment of the first illumination parameter to obtain a second illumination parameter suitable for the current physiological state of the infant as the target illumination parameter includes:

[0017] Acquire real-time facial images of infants and young children in infant care scenarios;

[0018] Inputting the real-time facial image of the infant into a preset facial analysis model to obtain the real-time physiological state of the infant under the lighting conditions of the ambient lighting parameters;

[0019] According to the real-time physiological state of the infant, the first illumination parameter is adjusted for a second time to obtain a second illumination parameter suitable for the current physiological state of the infant as the target illumination parameter.

[0020] Preferably, the step of inputting the ambient lighting parameters and the age of the infant into the color temperature adjustment model, adjusting the color temperature in the ambient lighting parameters, and obtaining the first lighting parameters with a color temperature suitable for the current environment includes:

[0021] Inputting the real-time ambient light parameters into the color temperature adjustment model, and matching the sample color temperature parameters to obtain preliminary color temperature parameters that meet the real-time ambient light conditions;

[0022] Acquire a plurality of preset infant age intervals, and obtain a target age interval corresponding to the infant age in each of the age intervals;

[0023] The preliminary color temperature parameter is corrected twice according to the target age range to obtain the first illumination parameter.

[0024] Preferably, the step of acquiring a real-time facial image of an infant in an infant care scene includes:

[0025] Acquire a real-time video stream in the infant care scene, and decompose the real-time video stream into multiple frames of images;

[0026] The multiple frames of images are input into a preset target detection model, and the images with marked infant faces in each frame of the image are extracted and recorded as real-time infant face images, wherein the target detection model is a deep learning model based on the yolov6s structure.

[0027] Preferably, before inputting the real-time image of the infant's face into a preset face analysis model to derive the real-time physiological state of the infant under the lighting conditions of the ambient lighting parameters, the method includes:

[0028] Acquire multiple frames of infant face images under various lighting conditions as training images;

[0029] Inputting each of the training images into a preset infant face classification model to obtain expression information corresponding to each of the training images;

[0030] According to each of the expression information, assigning each of the training images a label corresponding to the expression information;

[0031] Each of the training images with the label is input into a classification network based on the Mobilenet structure for training to obtain the facial analysis model.

[0032] Preferably, the step of inputting the real-time image of the infant's face into a preset face analysis model to obtain the real-time physiological state of the infant under the lighting conditions of the ambient lighting parameters comprises:

[0033] Inputting the real-time image of the infant's face into the face analysis model, and matching the real-time image of the infant's face with each frame of the sample image;

[0034] When the real-time image of the infant's face matches a target image in each of the sample images, assigning a target label on the target image to the real-time image;

[0035] The real-time physiological state of the infant is obtained based on the target tag.

[0036] Preferably, the second adjustment of the first illumination parameter according to the real-time physiological state of the infant to obtain a second illumination parameter suitable for the current physiological state of the infant as the target illumination parameter includes:

[0037] According to the real-time physiological state, one or more parameters of the light intensity, light projection direction, brightness, color saturation and color fidelity are adjusted;

[0038] When the real-time physiological state of the infant is adjusted to be comfortable, the second lighting parameter at this time is used as the target lighting parameter.

[0039] Preferably, the lighting parameters include: color temperature, light intensity, light projection direction, brightness, color saturation and color fidelity.

[0040] In a second aspect, the present invention provides an infant health lighting control system based on dynamic adjustment of color temperature parameters, which is used to implement the above-mentioned infant health lighting control method based on dynamic adjustment of color temperature parameters, and the system includes:

[0041] An ambient light sensor is used to detect ambient light conditions and input the real-time ambient light information and infant age information into a preset color temperature adjustment model;

[0042] A camera, used to collect infant facial images in real time and input the infant facial images into a facial analysis model;

[0043] Intelligent analysis subsystem, used to determine infants’ adaptation to lighting conditions using trained classification models;

[0044] The lighting adjustment subsystem is used to adjust the projection brightness of the light source according to the results of the intelligent analysis module.

[0045] Preferably, the system application scenarios include: at least one of infant sleeping, crying and playing scenarios.

[0046] In summary, the beneficial effects of the present invention are as follows:

[0047] The present invention provides a method and system for controlling healthy lighting for infants and young children based on dynamic adjustment of color temperature parameters, the method comprising: obtaining real-time ambient lighting parameters, preset infant age and corresponding real-time image of infant face in an infant care scene; inputting the ambient lighting parameters and infant age into a preset color temperature adjustment model, adjusting the color temperature in the ambient lighting parameters, and obtaining a first lighting parameter with a color temperature suitable for the current environment; inputting the real-time image of the infant face into a preset face analysis model, and obtaining the real-time physiological state of the infant under the lighting conditions of the ambient lighting parameters; according to the real-time physiological state of the infant, adjusting the first lighting parameter for a second time, and obtaining a second lighting parameter suitable for the current physiological state of the infant as a target lighting parameter; according to the target lighting parameter, controlling the lighting equipment to illuminate, and completing healthy lighting in the current infant care scene. The present invention obtains the ambient lighting parameters and infant age in the infant care scene in real time, and combines the preset color temperature adjustment model to intelligently adjust the lighting conditions to ensure that the color temperature is suitable for the current environment. First, the solution analyzes the current lighting conditions and makes preliminary adjustments to obtain the first lighting parameters; then, the lighting is adjusted twice to finally generate the second lighting parameters suitable for the health of infants and young children. Through intelligent lighting adjustment, the problem of the inability to provide a suitable color temperature environment in the existing technology is effectively solved, the potential harm of poor lighting to the health of infants and young children is reduced, and the healthy growth of infants and young children is promoted. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the drawings required for use in the embodiment of the present invention will be briefly introduced below. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work, and these are all within the protection scope of the present invention.

[0049] Figure 1 This is a schematic diagram of the overall working process of the infant health lighting control method based on dynamic adjustment of color temperature parameters in Example 1 of the present invention;

[0050] Figure 2 This is a schematic diagram of the process of obtaining a real-time image of an infant's face in Embodiment 1 of the present invention;

[0051] Figure 3 This is a schematic diagram of a process for constructing a color temperature adjustment model in Embodiment 1 of the present invention;

[0052] Figure 4 A schematic diagram of a process for determining suitable color temperature parameters in Embodiment 1 of the present invention;

[0053] Figure 5 This is a schematic diagram of the process of constructing a facial analysis model in Embodiment 1 of the present invention;

[0054] Figure 6 This is a schematic diagram of a process for determining real-time status information of an infant in Embodiment 1 of the present invention;

[0055] Figure 7 This is a schematic diagram of a process for adjusting light source illumination information in Embodiment 1 of the present invention;

[0056] Figure 8 This is a schematic diagram of a process for determining a normal physiological state of an infant in Example 1 of the present invention;

[0057] Fig. 9 This is a schematic diagram of a process for determining whether the body temperature of an infant is normal in Example 1 of the present invention;

[0058] Fig.10 Schematic diagram of the structure of an infant health lighting control system based on dynamic adjustment of color temperature parameters in Example 2 of the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described in conjunction with the drawings in the embodiment of the present invention. It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. In the description of the present invention, it should be understood that the orientation or position relationship indicated by the terms "center", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. Moreover, the term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such a process, method, article or device. In the absence of further restrictions, the elements defined by the phrase "comprising..." do not exclude the existence of other identical elements in the process, method, article or device comprising the elements. If there is no conflict, the embodiments of the present invention and the various features in the embodiments can be combined with each other, all within the protection scope of the present invention.

[0060] Example 1

[0061] See also Figure 1Embodiment 1 of the present invention discloses a method for controlling healthy lighting for infants and young children based on dynamic adjustment of color temperature parameters, the method comprising:

[0062] S1: obtaining real-time ambient lighting parameters, preset infant age and corresponding real-time image of infant face in an infant care scene;

[0063] Specifically, real-time ambient light information collected by the ambient light sensor and real-time infant facial images collected by the camera are obtained, wherein the real-time ambient light information includes real-time ambient light intensity and color temperature information. By analyzing and processing the real-time ambient light information and infant facial images, the light source information is adjusted, which is conducive to achieving effective care for infants and helping them grow up healthily.

[0064] In one embodiment, see Figure 2 , the S1 comprises:

[0065] S11: Acquire a real-time video stream in the infant care scene, and decompose the real-time video stream into multiple frame images;

[0066] S12: Input the multiple frames of images into a preset target detection model, extract the image with the marked infant's face in each frame of the image, and record it as the real-time image of the infant's face, wherein the target detection model is a deep learning model based on the yolov6s structure.

[0067] Specifically, a large number of publicly available images of infants at various growth stages are collected in advance for analysis, with a focus on daily activity images of younger infants. The infants' faces and non-infants' faces in these daily activity images are pre-marked, and the marked frames are input as training data for the deep learning model to construct and train a neural network detection algorithm model based on the YoloV6s structure, which is used as a target detection model. Multiple frames of images decomposed from a real-time video stream are sequentially input into the target detection model to identify multiple frames of infants' faces and non-infants' faces as target facial images, and infants' faces are extracted from the target facial images, which are recorded as real-time infant faces.

[0068] In one embodiment, see Figure 3 , said S2 before includes:

[0069] S201: Acquire data to be processed under multiple target lighting conditions related to infant care, wherein the data to be processed includes: sample ambient lighting parameters under each of the target lighting conditions and multiple sample color temperature parameters matching each of the target lighting conditions;

[0070] Specifically, the ambient lighting parameters under different ambient lighting conditions and the appropriate color temperature corresponding to each ambient lighting condition are obtained, wherein the ambient lighting parameters include: light intensity, light projection direction and light source type, etc., and the color temperature is divided into warm tones, neutral tones and cool tones, wherein color temperature = <3300K, corresponding to warm tones; 3300K < color temperature <6000K, corresponding to neutral tones; color temperature >6000K, corresponding to cool tones. For example, if the ambient light is yellowish, the appropriate color temperature should be warm tones, and the color temperature parameter = <3300K; if the ambient light is white light, the appropriate color temperature should be cool tones, and the color temperature parameter >6000K. By finding the appropriate color temperature under each ambient lighting condition and matching the ambient lighting condition with the color temperature, it is helpful to improve the comfort of infants and young children under different environmental conditions and enhance the user's care experience.

[0071] S202: preprocessing the data to be processed, classifying the data to be processed into training set data and test set data after standardization;

[0072] S203: inputting the training set data into a recurrent neural network for deep learning and training to obtain an initial color temperature regulation model;

[0073] Specifically, a deep learning model is designed, and the deep learning model can use a recurrent neural network (RNN). The training set data is input into the deep learning model for training, and a loss function loss is predefined. By adjusting the network parameters of the recurrent neural network (RNN), the loss function loss is continuously optimized until the loss is less than a preset threshold. At this time, it is considered that the deep learning model obtained by training is highly fitted with the training data, and the trained RNN-based deep learning model is output as the initial model. By defining the loss function and continuously optimizing the loss function, the high consistency between the final generated initial model and the training data is guaranteed. Since the training data is preprocessed standardized data, the accuracy of the initial model in adjusting the color temperature is improved.

[0074] S204: Evaluate the color temperature adjustment initial model using the test set data, and adjust the initial model according to the evaluation result to obtain the color temperature adjustment model.

[0075] Specifically, the test set data is input into the initial model to obtain the appropriate color temperature parameters corresponding to the test set data, an evaluation result is given based on the accuracy of the appropriate color temperature parameters corresponding to the test set data obtained, and the initial model is adjusted for a second time based on the evaluation result to obtain the final color temperature adjustment model. By inputting the test set data into the initial model to simulate actual testing, and making a second adjustment based on the test results, the accuracy of color temperature adjustment is further improved, so that the final adjusted color temperature is more suitable for actual environmental conditions, thereby improving the comfort of infants and young children.

[0076] S2: Inputting the ambient light parameters and the age of the infant into a preset color temperature adjustment model, adjusting the color temperature in the ambient light parameters, and obtaining a first light parameter with a color temperature suitable for the current environment;

[0077] Specifically, since the development of infants and young children is not complete, for infants and young children who are too young, inappropriate color temperature will affect the development of their eyes. If the color temperature is inappropriate, it will cause visual fatigue or other eye problems for infants and young children. Therefore, the age of the infant and young child input by the user in advance through the mobile terminal is obtained, and the real-time ambient light is combined with the age of the infant and young child to adjust the color temperature so that the adjusted color temperature is more in line with the actual physiological condition of the current infant and young child, which is helpful to help the healthy physical and mental development of the infant and young child.

[0078] In one embodiment, see Figure 4 , said S2 comprises:

[0079] S21: inputting the real-time ambient light parameters into the color temperature adjustment model, and matching the sample color temperature parameters to obtain preliminary color temperature parameters that meet the real-time ambient light conditions;

[0080] Specifically, the collected real-time ambient lighting information is input into a preset color temperature adjustment model. Since the color temperature adjustment model is trained with training set data and evaluated and calibrated with test set data, it can obtain color temperature parameters suitable for the real-time ambient lighting information. For example, if the suitable color temperature parameter obtained by the color temperature adjustment model is 4500K, 4500K is used as a preliminary color temperature parameter. According to the preliminary color temperature parameter, the color temperature should be adjusted to a neutral tone; if the obtained color temperature parameter is 2000K, according to the preliminary color temperature parameter, the color temperature should be adjusted to a cool tone.

[0081] S22: Acquire a plurality of preset infant age intervals, and obtain a target age interval corresponding to the infant age in each of the age intervals;

[0082] Specifically, the age of the infant input by the user is obtained. For example, the infant's age is divided into three different intervals: 0-4 months, 4 months-3 years old, and 3 years old-6 years old. If the obtained infant's age is 3 months, the age interval corresponding to the infant's age is 0-4 months.

[0083] S23: Performing a secondary correction on the preliminary color temperature parameter according to the target age range to obtain the first illumination parameter.

[0084] Specifically, by dividing the ages of infants and young children into different age ranges, the preliminary color temperature parameters are corrected for different age ranges. For example, the above-mentioned infant age range corresponds to 0-4 months. At this time, the infants and young children are too young, and their eyes and other body parts are extremely incompletely developed. The color temperature should be as low as possible to reduce the adverse effects of cold color temperature on the physical development of infants and young children. The corrected results are used as the final output color temperature parameters. The secondary correction of the preliminary color temperature parameters further improves the accuracy of color temperature adjustment, which is more conducive to the healthy physical and mental development of infants and young children.

[0085] In one embodiment, see Figure 5 , the S3 previously includes:

[0086] S301: Acquire multiple frames of infant face images under various lighting conditions as training images;

[0087] Specifically, a large number of infant facial images under various brightness, light intensity, color saturation, color fidelity and projection directions are collected. For infants with incomplete development, light intensity and projection direction will affect their physical health and comfort. For example, if infants live in a place with too little light, the lack of light source stimulation will affect the development of their vision; if the light is too strong, it may cause visual fatigue or other eye problems in infants; at the same time, direct light is more likely to cause eye problems in infants than light from the side; brightness that is too high or too low will affect the eye development of infants; color saturation and fidelity will affect the comfort of infants, and lighting with high saturation and high fidelity is more likely to be liked by infants.

[0088] S302: inputting each of the training images into a preset infant face classification model to obtain expression information corresponding to each of the training images;

[0089] Specifically, the reaction of the infant to the current lighting conditions is judged by the facial expressions of the infants in a large number of collected images. Specifically, if the infant's expression is smiling, it is considered that the infant feels comfortable with the current lighting conditions; if the infant's expression is crying or pouting, it is considered that the infant feels uncomfortable with the current lighting conditions, and the user needs to be reminded to adjust the lighting parameters in time.

[0090] S303: assigning labels corresponding to the expression information to each training image according to the expression information;

[0091] Specifically, the reaction of the infant to the current lighting conditions is obtained. If the infant feels comfortable, the corresponding image is assigned label information such as "comfortable" and "like"; similarly, if the infant feels uncomfortable, the corresponding image is assigned label information such as "painful" and "uncomfortable".

[0092] S304: Input each of the training images with the label into a classification network based on the Mobilenet structure for training to obtain the facial analysis model.

[0093] Specifically, the target images assigned with different label information are obtained, and the target images are input into a classification model based on the Mobilenet structure for classification training. By continuously adjusting the network parameters of the classification model, the data generated by the classification model and the input training data are made to fit each other, and finally a model is obtained that can judge the reaction of infants and young children to current lighting conditions based on the input infant and young child facial images, and the trained model is output as the facial analysis model.

[0094] S3: inputting the real-time facial image of the infant into a preset facial analysis model to obtain the real-time physiological state of the infant under the lighting conditions of the ambient lighting parameters;

[0095] Specifically, the real-time facial images of each frame of infants and young children obtained by decomposing the real-time video are input into the trained facial analysis model to obtain the reaction of the infants and young children under the current real-time lighting conditions as the real-time state information of the infants and young children. By obtaining the real-time state information of the infants and young children, it is possible to determine whether the real-time physiological state of the infants and young children under the current lighting conditions is normal, thereby adjusting the lighting according to the real-time physiological state of the infants and young children, thereby improving the comfort of the infants and young children.

[0096] In one embodiment, see Figure 6 , said S3 comprises:

[0097] S31: inputting the real-time image of the infant's face into the face analysis model, and matching the real-time image of the infant's face with the sample images of each frame;

[0098] Specifically, each real-time facial image of the infant is obtained, and each frame of the real-time image is input into the facial analysis model. By comparing the difference between the real-time image and the training image of the facial analysis model, a similar image of the real-time image is found in the training image, and the label information of the similar image is used as the target label information of the real-time image. For example, if the difference between the feature information extracted from the real-time image and the feature information extracted from the i-th frame image in the training image is small, where i is a positive integer, and the label information on the i-th frame image is "comfortable", then the "comfortable" label is assigned to the real-time image as the target label information.

[0099] S32: when the real-time image of the infant's face matches a target image in each of the sample images, assigning a target label on the target image to the real-time image;

[0100] S33: Determine the real-time physiological state of the infant based on the target tag.

[0101] S4: According to the real-time physiological state of the infant, the first illumination parameter is adjusted for a second time to obtain a second illumination parameter suitable for the current physiological state of the infant as a target illumination parameter;

[0102] In one embodiment, see Figure 7 , said S4 comprises:

[0103] S41: adjusting one or more parameters of the light intensity, light projection direction, brightness, color saturation, and color fidelity according to the real-time physiological state;

[0104] Specifically, a suitable color temperature parameter is obtained, for example, if the suitable color temperature parameter is 3000K, the color temperature of the light emitted by the corresponding light source is adjusted to 3000K. Since the suitable color temperature parameter is obtained through the color temperature adjustment model and takes into account the age of the infant, the infant can obtain a more comfortable lighting experience.

[0105] S42: When the real-time physiological state of the infant is adjusted to be normal, the second illumination parameter at this time is used as the target illumination parameter.

[0106] Specifically, based on the feedback information from infants and young children on the current ambient lighting conditions, the light intensity and projection direction of the light emitted by the light source are further adjusted. When the real-time physiological state of the infant and young child is normal, it is considered that the light intensity and projection direction at this time are most suitable and beneficial to the physical and mental health of the infant and young child. By further adjusting the light intensity and projection direction of the light emitted by the light source, the healthy growth of the infant and young child is ensured and the comfort of the infant and young child is improved.

[0107] In one embodiment, the physiological state includes: the infant's body temperature, emotional response and food intake.

[0108] In one embodiment, see Figure 8 , the S42 comprises:

[0109] S421: Obtaining a preset normal body temperature range, and determining whether the current body temperature of the infant is normal based on the normal body temperature range;

[0110] In one embodiment, see Fig. 9 , the S421 includes:

[0111] S4211: According to a plurality of temperature measurement methods, obtaining normal body temperature ranges corresponding to the temperature measurement methods respectively;

[0112] S4212: Using each of the temperature measurement methods to measure the temperature of the infant in turn, and obtaining the current body temperature of the infant corresponding to each of the temperature measurement methods;

[0113] S4213: judging whether the current body temperature of each infant is within the corresponding normal body temperature range according to the current body temperature of each infant;

[0114] S4214: If the current body temperature of the infant is within the corresponding normal temperature range, the infant is considered to have a normal body temperature;

[0115] S4215: If the current body temperature of the infant is not within the corresponding normal body temperature range, the infant is considered to have an abnormal body temperature.

[0116] Specifically, a preset normal body temperature range is obtained, wherein, according to a variety of different temperature measurement methods, various temperature measurement methods are set to correspond to normal body temperature ranges, for example, the normal body temperature range of the rectal temperature measurement method is set to be between 36.6°C and 37.8°C, the normal body temperature range of the oral temperature measurement method is set to be between 36.3°C and 37.2°C, and the normal body temperature range of the axillary temperature method is set to be between 36°C and 37°C. If the current body temperature of the infant is measured to be 36.5 by the axillary temperature method, it is considered that the body temperature of the infant is normal under the current lighting conditions; if the current body temperature of the infant is measured to be 37.5 by the axillary temperature method, it is considered that the body temperature of the infant is abnormal under the current lighting conditions; similarly, the corresponding body temperature of the infant is measured using the above-mentioned rectal temperature method and oral temperature method, and it is determined whether the infant's body temperature is in the corresponding normal body temperature range, so that it can be determined whether the infant's body temperature is normal under the current lighting conditions. By judging whether the body temperature of infants and young children is normal under the current lighting conditions, it is possible to judge whether the current lighting conditions will have an adverse effect on the body temperature of infants and young children.

[0117] S422: Acquire the facial expression information of the infant, and determine whether the infant's current emotional response is happy or sad based on the facial expression information;

[0118] Specifically, the current expression information of the infant is obtained. If the infant's current expression is smiling, it is considered that the infant's emotional response under the current lighting conditions is happy; if the infant's current expression is crying, it is considered that the infant's emotional response under the current lighting conditions is sad. By judging whether the infant's emotional response under the current lighting conditions is happy or sad, it is possible to judge whether the current lighting conditions will have an adverse effect on the infant's emotions.

[0119] S423: Obtaining a preset threshold of the number of times the infant eats independently and a normal interval of meal time, and determining the current feeding situation of the infant based on the threshold of the number of times the infant eats independently and the normal interval of meal time;

[0120] Specifically, for example, the threshold value of the number of times an infant eats independently is pre-set to 100 times, and the normal range of meal time is set to 20 to 30 minutes, and the current number of meals and the current meal time of the infant are statistically obtained. If the current number of times the infant eats independently is greater than 100 times and the current meal time is within the normal range of meal time, the current infant's eating situation is considered normal; if the current number of times the infant eats independently is not greater than 100 times or the current meal time is not within the normal range of meal time, the current infant's eating situation is considered abnormal.

[0121] S424: When the current body temperature of the infant is normal, the current emotional response of the infant is happy, and the current feeding situation of the infant is normal, it is considered that the real-time physiological state of the infant is adjusted to be normal, and the second lighting parameter at this time is used as the target lighting parameter.

[0122] Specifically, the physiological state integrates multiple parameters such as the infant's body temperature, emotional response and food intake, and can comprehensively evaluate the impact of current lighting conditions on infants. Only the second lighting parameter adjusted to the normal real-time physiological state of the infant is used as the target lighting parameter, thereby avoiding the adverse effects of inappropriate lighting conditions on infants.

[0123] S5: According to the target lighting parameters, control the lighting equipment to perform lighting, so as to complete healthy lighting in the current infant care scene.

[0124] Example 2

[0125] See also Fig.10 The embodiment of the present invention further provides an infant health lighting control system based on dynamic adjustment of color temperature parameters, characterized in that the system is used to implement the above-mentioned infant health lighting control method based on dynamic adjustment of color temperature parameters, and includes:

[0126] An ambient light sensor is used to detect ambient light conditions and input the real-time ambient light information and infant age information into a preset color temperature adjustment model;

[0127] A camera, used to collect infant facial images in real time and input the infant facial images into a facial analysis model;

[0128] Intelligent analysis subsystem, used to determine infants’ adaptation to lighting conditions using trained classification models;

[0129] The lighting adjustment subsystem is used to adjust the projection brightness of the light source according to the results of the intelligent analysis module.

[0130] Specifically, the infant health lighting control system based on dynamic adjustment of color temperature parameters provided by the embodiment of the present invention includes: an ambient light sensor for detecting ambient lighting conditions, and inputting the real-time ambient lighting information and infant age information into a preset color temperature adjustment model; a camera for real-time acquisition of infant facial images, and inputting the infant facial images into a facial analysis model; an intelligent analysis subsystem for using a trained classification model to determine the infant's adaptation to lighting conditions; and a lighting adjustment subsystem for adjusting the projection brightness of the light source according to the results of the intelligent analysis module. The system obtains real-time suitable color temperature parameters through the color temperature adjustment model, and further adjusts the lighting parameters in combination with the real-time physiological state of the infant under ambient lighting conditions, and obtains accurate target lighting parameters suitable for the infant, so that controlling the lighting equipment according to the target lighting parameters can prevent the physical and mental health of the infant from being damaged due to poor lighting conditions, and improve the comfort of the infant and the user's care experience for the elderly.

[0131] Example 3

[0132] The application scenarios of the infant health lighting control system based on dynamic adjustment of color temperature parameters include: infant sleeping scenarios.

[0133] Specifically, before the infant falls asleep at night, the parents start the infant health lighting control system based on dynamic adjustment of color temperature parameters. The system first detects the indoor light conditions through the ambient light sensor to determine whether it is daytime or nighttime. When it is detected that the indoor light is dim, the system inputs the current lighting conditions and the age information of the infant into the color temperature adjustment model. The color temperature adjustment model calculates the appropriate color temperature value through a pre-trained deep neural network model. The system automatically adjusts the color temperature of the light source in the bedroom according to the calculation results, so that it presents a warmer tone, which helps the infant relax and fall asleep. At the same time, the system sets a suitable light source intensity according to the age and sleeping habits of the infant. Subsequently, the camera captures the facial image of the infant in real time and inputs the image into the intelligent analysis subsystem. The intelligent analysis subsystem uses a pre-trained classification model to determine the infant's adaptation to the current lighting conditions. If the infant's expression is judged to be comfortable, the system will continue to maintain the current lighting state. If the infant's expression is judged to be uncomfortable, the lighting adjustment subsystem will adjust the projection brightness and color temperature of the light source according to the results of the intelligent analysis subsystem until the infant's expression becomes comfortable. When the intelligent analysis subsystem determines that the baby has fallen asleep, the light adjustment subsystem will gradually reduce the brightness of the light source and turn off the light source after the baby is completely asleep. During the baby's sleep, parents can view the baby's facial expressions and light conditions in real time through the mobile phone APP, and manually adjust the light parameters as needed to ensure that the baby falls asleep in the most comfortable environment.

[0134] Through this application embodiment, the infant healthy lighting control system based on dynamic adjustment of color temperature parameters can create a comfortable and suitable sleeping environment for infants at night, which helps infants to get good sleep quality. At the same time, parents can ensure that infants fall asleep under the best lighting conditions through real-time monitoring and adjustment.

[0135] Example 4

[0136] The application scenarios of the infant health lighting control system based on dynamic adjustment of color temperature parameters include: infant crying scenes.

[0137] Specifically, an infant healthy lighting control system based on dynamic adjustment of color temperature parameters is installed in the infant's room, including an ambient light sensor, a camera, an intelligent analysis subsystem, and a light source adjustment subsystem. Parents set relevant information such as the infant's age and crying at night through a mobile phone APP. When the infant starts crying at night, the parents start the infant healthy lighting control system based on dynamic adjustment of color temperature parameters; the system first detects the lighting conditions in the room through the ambient light sensor, obtains parameters such as light source intensity and light direction, and inputs the current lighting conditions and infant age information into the color temperature adjustment model. The color temperature adjustment model calculates the appropriate color temperature value based on the pre-trained deep neural network model. The system automatically adjusts the color temperature and light intensity of the light source in the room according to the calculation results, so that it presents a soft and comfortable light environment. At this time, the facial image of the infant under the lighting conditions is captured by the camera. The facial image of the infant is sent to the intelligent analysis subsystem to obtain the facial reaction of the infant. The intelligent analysis subsystem judges the adaptation of the infant to the current lighting conditions through the pre-trained deep learning classification model. The facial reaction results are sent to the light adjustment subsystem to adjust the projection brightness of the light source in real time. The light adjustment subsystem adjusts the light source according to the infant's facial reaction through the intelligent controller and the light source intensity and projection angle adjustment algorithm module. If the infant's expression shows discomfort, the system will automatically reduce the light intensity or change the projection angle. On the contrary, if the infant's expression shows comfort, the system will maintain the current light source setting. The system will continue to monitor the infant's facial reaction until the infant's crying is relieved and the infant is in a comfortable state. At this time, parents can choose to turn off the infant health lighting system to let the infant fall asleep quietly.

[0138] Example 5

[0139] The infant health lighting control system based on dynamic adjustment of color temperature parameters also includes: a sound sensor.

[0140] Specifically, based on the infant health lighting control system based on dynamic adjustment of color temperature parameters provided in Example 3, the system further includes a sound sensor for detecting the indoor environmental noise level. When the indoor noise level exceeds the preset threshold, the system adjusts the color or brightness of the light source to remind parents or caregivers to reduce noise in order to maintain the sleeping environment of infants. At the same time, the intelligent analysis subsystem can also identify the crying of infants to determine whether further adjustment of lighting conditions is needed. When the crying of infants is identified, the lighting adjustment subsystem will automatically adjust the lighting parameters such as the projection brightness, projection direction, color saturation, color fidelity and color temperature of the light source to try to improve the comfort of infants. In addition, the infant health lighting system can also be linked with other smart home devices, such as improving the comfort of the indoor environment by adjusting the air conditioning temperature or humidity.

[0141] In summary, the embodiments of the present invention provide a method and system for controlling healthy lighting for infants and young children based on dynamic adjustment of color temperature parameters.

[0142] It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.

[0143] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present invention are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0144] It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in a different order from the embodiments, or several steps can be performed simultaneously.

[0145] The above is only a specific implementation of the present invention. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the system, module and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present invention, and these modifications or replacements should be covered within the protection scope of the present invention.

Claims

1. A method for controlling healthy lighting for infants and young children based on dynamic adjustment of color temperature parameters, characterized in that: The method comprises: Acquire real-time ambient lighting parameters in an infant care scenario, preset infant ages, and data to be processed under multiple target lighting conditions related to infant care, wherein the data to be processed includes: sample ambient lighting parameters under each of the target lighting conditions and multiple sample color temperature parameters matching each of the target lighting conditions; Preprocessing the data to be processed, classifying the data to be processed into training set data and test set data after standardization; Inputting the training set data into a recurrent neural network for deep learning and training to obtain an initial color temperature regulation model; Using the test set data to evaluate the color temperature adjustment initial model, and adjusting the initial model according to the evaluation result to obtain the color temperature adjustment model; Inputting the ambient light parameters and the age of the infant into the color temperature adjustment model, adjusting the color temperature in the ambient light parameters, and obtaining a first light parameter with a color temperature suitable for the current environment; Performing a second adjustment on the first illumination parameter to obtain a second illumination parameter suitable for the current physiological state of the infant as a target illumination parameter; According to the target lighting parameters, the lighting equipment is controlled to perform lighting to complete healthy lighting in the current infant care scene.

2. The infant health lighting control method based on dynamic adjustment of color temperature parameters according to claim 1, characterized in that: The second adjustment of the first illumination parameter to obtain a second illumination parameter suitable for the current physiological state of the infant as the target illumination parameter includes: Acquire real-time facial images of infants and young children in infant care scenarios; Inputting the real-time facial image of the infant into a preset facial analysis model to obtain the real-time physiological state of the infant under the lighting conditions of the ambient lighting parameters; According to the real-time physiological state of the infant, the first illumination parameter is adjusted for a second time to obtain a second illumination parameter suitable for the current physiological state of the infant as the target illumination parameter.

3. The infant health lighting control method based on dynamic adjustment of color temperature parameters according to claim 1, characterized in that: The step of inputting the ambient lighting parameters and the age of the infant into the color temperature adjustment model, adjusting the color temperature in the ambient lighting parameters, and obtaining the first lighting parameters with a color temperature suitable for the current environment includes: Inputting the real-time ambient light parameters into the color temperature adjustment model, and matching the sample color temperature parameters to obtain preliminary color temperature parameters that meet the real-time ambient light conditions; Acquire a plurality of preset infant age intervals, and obtain a target age interval corresponding to the infant age in each of the age intervals; The preliminary color temperature parameter is corrected twice according to the target age range to obtain the first illumination parameter.

4. The infant health lighting control method based on dynamic adjustment of color temperature parameters according to claim 2, characterized in that: The step of obtaining a real-time facial image of an infant in an infant care scenario includes: Acquire a real-time video stream in the infant care scene, and decompose the real-time video stream into multiple frames of images; The multiple frames of images are input into a preset target detection model, and the images with marked infant faces in each frame of the image are extracted and recorded as real-time infant face images, wherein the target detection model is a deep learning model based on the yolov6s structure.

5. The infant health lighting control method based on dynamic adjustment of color temperature parameters according to claim 2, characterized in that: In the step of inputting the real-time image of the infant's face into a preset face analysis model, before obtaining the real-time physiological state of the infant under the lighting conditions of the ambient lighting parameters, the step includes: Acquire multiple frames of infant face images under various lighting conditions as training images; Inputting each of the training images into a preset infant face classification model to obtain expression information corresponding to each of the training images; According to each of the expression information, assigning each of the training images a label corresponding to the expression information; Each of the training images with the label is input into a classification network based on the Mobilenet structure for training to obtain the facial analysis model.

6. The infant health lighting control method based on dynamic adjustment of color temperature parameters according to claim 2, characterized in that: The step of inputting the real-time facial image of the infant into a preset facial analysis model to obtain the real-time physiological state of the infant under the lighting conditions of the ambient lighting parameters comprises: Inputting the real-time image of the infant's face into the face analysis model, and matching the real-time image of the infant's face with each frame of the sample image; When the real-time image of the infant's face matches a target image in each of the sample images, assigning a target label on the target image to the real-time image; The real-time physiological state of the infant is obtained based on the target tag.

7. The infant health lighting control method based on dynamic adjustment of color temperature parameters according to claim 2, characterized in that: The second adjustment of the first illumination parameter according to the real-time physiological state of the infant to obtain a second illumination parameter suitable for the current physiological state of the infant as the target illumination parameter includes: According to the real-time physiological state, one or more parameters of the light intensity, light projection direction, brightness, color saturation and color fidelity are adjusted; When the real-time physiological state of the infant is adjusted to be comfortable, the second lighting parameter at this time is used as the target lighting parameter.

8. The infant health lighting control method based on dynamic adjustment of color temperature parameters according to claim 1, characterized in that: The lighting parameters include: color temperature, light intensity, light projection direction, brightness, color saturation and color fidelity.

9. A healthy lighting control system for infants and young children based on dynamic adjustment of color temperature parameters, characterized in that: For implementing the method according to any one of claims 1 to 7, the system comprises: An ambient light sensor is used to detect ambient light conditions and input the real-time ambient light information and infant age information into a preset color temperature adjustment model; A camera, used to collect infant facial images in real time and input the infant facial images into a facial analysis model; Intelligent analysis subsystem, used to determine infants’ adaptation to lighting conditions using trained classification models; The lighting adjustment subsystem is used to adjust the projection brightness of the light source according to the results of the intelligent analysis module.

10. The infant health lighting control system based on dynamic adjustment of color temperature parameters according to claim 9, characterized in that: The application scenarios of the system include: at least one of the scenarios of infants sleeping, crying and playing.

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