Intelligent house curtain control system capable of automatically adjusting light sensation

Abstract

The invention discloses an intelligent house curtain control system capable of automatically adjusting light sensation, and relates to the technical field of intelligent house curtain control. The system comprises a light sensor deployment module, a data acquisition and primary processing module, a weighted average processing module, an illumination intensity misjudgment module, a misjudgment correction and environment optimization module and a curtain adjustment control module, and each light sensor has an independent acquisition area and is used for detecting the illumination intensity of different areas in the room. The accuracy of illumination data of the curtain system is improved through multi-light-sensor weighting processing and a misjudgment compensation mechanism, and artificial light source interference is avoided. Curtain adjustment is optimized by combining temperature and humidity data, comfort is balanced, the energy-saving effect is achieved, intelligent and personalized curtain control is achieved through user preference and dynamic adjustment, the living comfort is improved, and energy consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent house curtain control, and in particular to an intelligent house curtain control system with automatic light sensing adjustment. Background Art

[0002] Smart home curtain control with automatic light sensing refers to a system that uses sensors or intelligent technology to automatically adjust the opening and closing of curtains based on changes in indoor and outdoor light intensity. When the indoor light is too strong, the curtains automatically draw to reduce sunlight exposure and prevent overheating or glare. When the light is dim, the curtains automatically open to allow more natural light into the room. This system is often connected to smart home devices and can adjust according to user-defined lighting requirements or preset schedules, improving living comfort, energy savings, and privacy. It can also be integrated with other smart devices such as temperature control systems or smart voice assistants to provide more personalized and convenient home environment management.

[0003] The existing technology has the following shortcomings: In the automatic light-sensing adjustment of smart house curtain control, the light sensor may be interfered with by the indoor artificial light source, resulting in misjudgment of light intensity and incorrect control of the opening and closing of the curtains. For example, when there is a strong artificial light source indoors (such as a desk lamp, projector or LED lamp, etc.), the light sensor may mistakenly identify these light sources as natural light and mistakenly close the curtains. This misjudgment not only causes a lack of sufficient natural light indoors, but may also affect the growth of plants or prevent certain electronic devices from functioning properly. More seriously, this will cause the indoor environment to be too dark or overheated, which in turn leads to power waste and inefficient energy management, reducing the overall performance and energy-saving effect of the smart home system.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0005] The present invention aims to provide an intelligent curtain control system for homes with automatic light sensor adjustment. By utilizing weighted processing of multiple light sensors and a misjudgment compensation mechanism, the system improves the accuracy and stability of light intensity data and avoids interference from artificial light sources. Curtain adjustment is optimized by integrating temperature and humidity data, balancing comfort and energy savings. Furthermore, through user preference settings and a dynamic adjustment mechanism, the system automatically adjusts curtains based on seasonal and environmental changes, providing a personalized and intelligent control experience, enhancing living comfort and reducing energy consumption, thereby addressing the aforementioned issues in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent house curtain control system with automatic light sensor adjustment, comprising a light sensor deployment module, a data acquisition and preliminary processing module, a weighted average processing module, a light intensity misjudgment judgment module, a misjudgment correction and environment optimization module, and a curtain adjustment control module:

[0007] Light sensor deployment module, install multiple light sensors in the house, deployed in different locations, and each light sensor has an independent collection area for detecting the light intensity in different areas of the room;

[0008] The data acquisition and preliminary processing module obtains the light intensity data collected by all light sensors in the room and performs preliminary processing to remove data interfered by artificial light sources;

[0009] The weighted average processing module performs weighted average processing on all light intensity data, where the weighting coefficient is based on the installation location of the light sensor and the actual lighting conditions in the collection area, giving priority to the signals of sensors near windows;

[0010] The light intensity misjudgment judgment module compares the light intensity data after weighted average processing with the preset natural light intensity threshold to determine whether there is a misjudgment phenomenon;

[0011] Misjudgment correction and environment optimization module: If the judgment result is a misjudgment, it will automatically adjust the sampling frequency of the sensor and optimize the curtain control strategy based on the indoor environment data;

[0012] The curtain adjustment control module automatically adjusts the opening and closing status of the curtains according to the optimized light intensity data to ensure that the indoor lighting meets the predetermined requirements while avoiding the adverse effects caused by interference from artificial light sources.

[0013] Preferably, the weighted averaging processing step includes: performing time-series filtering on the output data of each light sensor to eliminate errors caused by instantaneous light fluctuations in curtain adjustment, thereby smoothly controlling the opening and closing state of the curtains and avoiding over-response to rapid changes in light intensity.

[0014] Preferably, a weighting coefficient is set based on the position of the sensor and the window, the influence of the ambient light source, and the stability of the sensor. The calculation expression is as follows:

[0015] W i =f(d i , s i )

[0016] , where W i is the weighting coefficient of the i-th light sensor, d i is the distance from the i-th light sensor to the window, s iis the stability index of the i-th light sensor;

[0017] According to the weighting coefficient of each sensor, the weighted average light intensity is calculated. The calculation expression is as follows:

[0018]

[0019] , where I avg is the weighted average light intensity, I i is the light intensity data of the i-th light sensor, and M is the total number of light sensors.

[0020] Preferably, the indoor environment data includes data from temperature sensors and humidity sensors, which are used to assist in determining whether the light intensity is interfered with by artificial light sources. When the temperature and humidity are abnormal, the opening and closing of the curtains are automatically adjusted to improve the indoor climate and maintain a comfortable living environment.

[0021] Preferably, based on the data collected by the light sensor, by performing misjudgment detection, the calculation expression is as follows:

[0022]

[0023] , where I total is the total light intensity, L j is the illumination intensity of the jth artificial light source, and M is the number of artificial light sources;

[0024] In order to reduce the interference of artificial light sources, the artificial light source compensation factor is set. The calculation expression is as follows:

[0025]

[0026] , where C j is the compensation factor for j artificial light sources, d j is the distance from the artificial light source to the sensor, and α is the adjustment factor;

[0027] 4 Taking into account the compensation of artificial light sources, calculate the corrected total light intensity. The calculation expression is as follows:

[0028]

[0029] , where I correct is the corrected total light intensity;

[0030] The corrected total light intensity I correct Compare with the preset natural light threshold:

[0031] If I correct ≥I thshold The curtain opening increases. If I correct threshold ​The curtains are closed or adjusted, I threshold is the preset natural light threshold.

[0032] Preferably, the indoor environment data includes data from temperature sensors and humidity sensors, which are used to assist in determining whether the light intensity is interfered with by artificial light sources. When the temperature and humidity are abnormal, the opening and closing of the curtains are automatically adjusted to improve the indoor climate and maintain a comfortable living environment.

[0033] Preferably, the curtain opening and closing control is combined with the preset user preference settings, and the curtain opening and closing strategy is adjusted by analyzing the user's work and rest time and preferences, so as to achieve more personalized and intelligent curtain adjustment;

[0034] The curtain opening and closing status is adjusted not only based on the light intensity, but also combined with the current indoor temperature and humidity data to form a complex adjustment algorithm. The specific steps are as follows:

[0035] Data is collected regularly from the temperature and humidity sensors to determine the current ambient temperature and humidity. If the ambient temperature or humidity is high, the curtains will be closed more tightly to reduce the accumulation of heat or moisture indoors. If the ambient temperature or humidity is low, the curtains will be opened to ensure full air circulation and natural light. The adjustment formula is as follows:

[0036] C adjust =β1·T+β2·H

[0037] , where C adjust is the priority value of temperature and humidity for curtain adjustment, T is the current ambient temperature, H is the humidity value, β1 is the weight coefficient of temperature, and β2 is the weight coefficient of humidity;

[0038] The final curtain control decision is formed by combining the priority and light intensity judgment results. The formula is as follows:

[0039] D final =max(I correct , C adjust )

[0040] , where D final It is the final curtain adjustment degree.

[0041] Preferably, remote control is performed through a mobile device application, allowing users to view indoor light intensity, temperature and humidity in real time, and manually adjust the opening and closing status of the curtains according to personal needs. In addition, it also supports automatic adjustment of the curtains according to a preset schedule to adapt to the user's living habits.

[0042] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0043] The present invention uses a multi-light sensor weighted processing and misjudgment detection compensation mechanism, and the intelligent curtain system can significantly improve the accuracy and stability of light intensity data. The system uses multiple light sensors located in different room areas to ensure that the light intensity is collected more comprehensively, avoiding erroneous control caused by misjudgment or interference of a single sensor. This multi-sensor weighted calculation method can effectively filter out misleading signals caused by indoor artificial light sources (such as table lamps, LED lights, etc.), ensuring that the opening and closing state of the curtains is more in line with actual natural lighting requirements. In addition, the misjudgment detection and light source interference compensation mechanism enable the system to dynamically adjust the compensation factor, more accurately distinguish the contribution of natural light and artificial light sources, thereby avoiding incorrect adjustment of curtains due to excessive indoor artificial light sources. This not only improves the accuracy of curtain control, but also enhances the stability of the system in complex lighting environments, avoids unnecessary curtain switch reactions, and improves the user's living experience.

[0044] By combining temperature and humidity data with light intensity data, the present invention can fully consider the indoor environmental conditions when adjusting the opening and closing of the curtains, thereby better balancing comfort and energy saving effects. When the temperature is too high or the humidity is too high, the curtains will automatically adjust to a tighter state, reducing the accumulation of heat and moisture indoors and reducing the need for air conditioning and dehumidification equipment. This not only provides users with a more comfortable living environment, but also effectively reduces electricity consumption and achieves energy-saving effects. In addition, the adjustment of indoor lighting conditions will also be optimized based on these environmental data. For example, when the temperature is too low, the curtains will be opened moderately, using natural light to heat the room, thereby reducing the need for artificial heating. This multi-dimensional data fusion control not only improves living comfort, but also invisibly reduces energy consumption, with significant energy-saving effects.

[0045] The present invention makes the curtain control system more personalized and intelligent by introducing user preference settings and dynamic adjustment mechanisms. On the basis of weighted light calculation, users can adjust the weights of light, temperature and humidity according to personal needs and living habits, so that the system can automatically adjust the opening and closing of the curtains according to the actual needs of the user. For example, the user can set the curtains to give priority to temperature control in summer and to give priority to light adjustment in winter. This personalized adjustment scheme ensures that the system can not only meet the basic light adjustment needs, but also make dynamic adjustments according to seasonal changes, environmental changes and user comfort preferences. The system can automatically identify different environmental conditions and make adaptive adjustments, giving full play to the advantages of smart homes, so that curtain adjustment is no longer limited to simple light control, but is integrated into the user's living habits and environmental needs, truly realizing an intelligent and personalized control experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction to the drawings required for use in the embodiments will be given below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0047] Figure 1 This is a module diagram of the smart house curtain control system with automatic light sensing adjustment according to the present invention. DETAILED DESCRIPTION

[0048] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art.

[0049] The present invention provides Figure 1 The intelligent house curtain control system with automatic light sensing adjustment shown in the figure includes a light sensor deployment module, a data acquisition and preliminary processing module, a weighted average processing module, a light intensity misjudgment judgment module, a misjudgment correction and environment optimization module, and a curtain adjustment control module:

[0050] Light sensor deployment module, install multiple light sensors in the house, deployed in different locations, and each light sensor has an independent collection area for detecting the light intensity in different areas of the room;

[0051] The light sensor uses a photodiode as a detection element and has a wide light intensity detection range. It can accurately capture changes in ambient light of different intensities and ensure real-time response under different lighting conditions.

[0052] The data acquisition and preliminary processing module obtains the light intensity data collected by all light sensors in the room and performs preliminary processing to remove data interfered by artificial light sources;

[0053] The weighted average processing module performs weighted average processing on all light intensity data, where the weighting coefficient is based on the installation location of the light sensor and the actual lighting conditions in the collection area, giving priority to the signals of sensors near windows;

[0054] The weighted average processing step includes: performing time-series filtering on the output data of each light sensor to eliminate errors caused by instantaneous light fluctuations in curtain adjustment, thereby smoothly controlling the opening and closing state of the curtains and avoiding over-response to rapid changes in light intensity.

[0055] The weighting coefficient is set based on the position of the sensor and the window, the influence of the ambient light source, and the stability of the sensor. The calculation expression is as follows:

[0056] W i =f(d i , s i )

[0057] , where W i is the weighting coefficient of the i-th light sensor, d i is the distance from the i-th light sensor to the window, s i is the stability index of the i-th light sensor, which indicates the ability of the sensor to maintain accuracy during long-term use;

[0058] According to the weighting coefficient of each sensor, the weighted average light intensity is calculated. The calculation expression is as follows:

[0059]

[0060] , where I avg is the weighted average light intensity, I i is the light intensity data of the i-th light sensor, and N is the total number of light sensors.

[0061] According to I avg The value is compared with the preset light threshold. avg When it is greater than or equal to the preset value, it is determined that the light is sufficient and the curtain opening is increased; when I avg When the light intensity is less than the preset value, it is determined that there is insufficient light, and the curtains are closed or adjusted to a predetermined closing degree.

[0062] The light intensity misjudgment judgment module compares the light intensity data after weighted average processing with the preset natural light intensity threshold to determine whether there is a misjudgment phenomenon;

[0063] Indoor environmental data includes data from temperature sensors and humidity sensors, which are used to assist in determining whether light intensity is interfered with by artificial light sources. When the temperature and humidity are abnormal, the curtain opening and closing are automatically adjusted to improve the indoor climate and maintain a comfortable living environment.

[0064] The steps for false positive detection and light adjustment are as follows;

[0065] According to the data collected by the light sensor, by performing misjudgment detection, the calculation expression is as follows:

[0066]

[0067] , where I total is the total light intensity, including the light intensity from all light sensors (contributions from natural light and artificial light sources), L jis the illumination intensity of the jth artificial light source, and M is the number of artificial light sources;

[0068] In order to reduce the interference of artificial light sources, the artificial light source compensation factor is set. The calculation expression is as follows:

[0069]

[0070] , where C j is the compensation factor of j artificial light sources. Since artificial light sources have a greater impact on the sensor, the compensation factor is used to reduce the interference of artificial light sources on the total light intensity, ensuring that the final curtain control is only affected by natural light. j is the distance from the artificial light source to the sensor, and α is the adjustment factor, which can be adjusted to optimize the sensitivity of false positive correction;

[0071] Taking into account the compensation of artificial light sources, the corrected total light intensity is calculated. The calculation expression is as follows:

[0072]

[0073] , where I correct is the corrected total light intensity;

[0074] The corrected total light intensity I correct Compare with the preset natural light threshold:

[0075] If I correct ≥I threshold The curtain opening increases. If I correct threshold The curtains are closed or adjusted, I threshold is the preset natural light threshold.

[0076] Through this step, effective lighting information can be extracted from ambient light and artificial light sources more accurately, and curtain control decisions can be made.

[0077] Misjudgment correction and environment optimization module: If the judgment result is a misjudgment, it will automatically adjust the sampling frequency of the sensor and optimize the curtain control strategy based on indoor environmental data (such as temperature, humidity, etc.);

[0078] Curtain opening and closing control is combined with preset user preference settings. By analyzing the user's work and rest time and preferences, the curtain opening and closing strategy is adjusted to achieve more personalized and intelligent curtain adjustment.

[0079] The curtain opening and closing status is adjusted not only based on the light intensity, but also combined with the current indoor temperature and humidity data to form a complex adjustment algorithm. The specific steps are as follows:

[0080] ​Data is collected regularly from the temperature and humidity sensors to determine the current ambient temperature and humidity. If the ambient temperature or humidity is high, the curtains will be closed more tightly to reduce the accumulation of heat or moisture indoors. If the ambient temperature or humidity is low, the curtains will be opened to ensure full air circulation and natural light. The adjustment formula is as follows:

[0081] C adjust =β1·T+β2·H

[0082] , where C adjust This is the priority value for temperature and humidity on curtain control. This value indicates the degree of influence of temperature and humidity on curtain control. The larger the value, the more closed the curtain is; the smaller the value, the more open the curtain is. T is the current ambient temperature, H is the humidity value, β1 is the temperature weight coefficient, which determines the degree of influence of temperature on curtain control, and β2 is the humidity weight coefficient, which determines the degree of influence of humidity on curtain control.

[0083] The final curtain control decision is formed by combining the priority and light intensity judgment results. The formula is as follows:

[0084] D final =max(I correct , C adjust )

[0085] , where D final is the final curtain adjustment degree, when D final When it is larger, the curtains will be closed more to maintain a comfortable indoor environment.

[0086] The curtain adjustment control module automatically adjusts the opening and closing status of the curtains according to the optimized light intensity data to ensure that the indoor lighting meets the predetermined requirements while avoiding the adverse effects caused by interference from artificial light sources;

[0087] Remote control via a mobile device application allows users to view indoor light intensity, temperature, and humidity in real time, and manually adjust the curtains to suit their needs. In addition, the curtains can be automatically adjusted according to a preset schedule to suit the user's living habits.

[0088] Implementation 1: In this implementation, the intelligent curtain control system avoids misjudgments caused by interference from artificial light sources on a single sensor by installing multiple light sensors in different areas of the room. These light sensors are placed in various locations throughout the room, particularly near windows, in the center, and in corners away from windows. Each light sensor collects real-time data based on the light intensity in its area, and the light data from each sensor is weighted based on the sensor's position in subsequent processing. The key to this solution lies in overcoming the variability caused by the different positions of light sources through a well-designed weighting mechanism, resulting in more accurate light intensity calculations.

[0089] Specifically, the weighting coefficient of the sensor is determined by multiple factors. First, the distance between the sensor and the window determines its sensitivity to natural light. Sensors closer to the window will respond more strongly to natural light, so their weighting coefficient should be larger. Secondly, the stability of the light source will also affect the quality of its output signal. Sensors with more stable positions can reduce fluctuations caused by external interference and therefore receive higher weights. Through weighted calculation, the system can obtain the light intensity of each area and synthesize a weighted average based on all sensor data. This weighted average reflects the natural light intensity of the entire room, avoiding the situation where a single sensor is interfered with by artificial light sources.

[0090] After processing the lighting data, the system compares the weighted average with a preset natural light intensity threshold to determine whether the curtains need to be adjusted. If the weighted light intensity exceeds the threshold, the system instructs the curtains to open wider, allowing more natural light into the room. Conversely, if the light intensity falls below the threshold, the curtains automatically close or adjust to an appropriate opening to maintain comfortable lighting conditions. This method allows the system to accurately identify changes in natural light and make informed curtain adjustment decisions, avoiding control errors caused by sensor misreading or interference from artificial light sources.

[0091] Furthermore, the placement of multiple light sensors and the weighted calculation method offer significant flexibility. Users can select the number and location of sensors based on the specific room layout and lighting requirements. For example, in a room with large windows, more sensors can be placed near the windows to accurately capture changes in natural light. In the center or corners of the room, the number of sensors can be reduced to minimize unnecessary signal collection. Light intensity calculations can also be adjusted based on user needs. For example, different weighting coefficients can be set based on the changing characteristics of light intensity over different time periods, allowing the system to more intelligently adapt to light fluctuations throughout the day.

[0092] In summary, this embodiment greatly improves the responsiveness of the smart curtain system to light changes by arranging multiple light sensors in the room and using a reasonable weighted average processing mechanism, ensuring the accuracy of curtain control and avoiding misjudgment problems caused by interference from artificial light sources or failure of a single sensor.

[0093] Implementation method 2: In order to improve the accuracy of the intelligent curtain control system, this implementation method proposes a complete misjudgment detection and artificial light source interference compensation mechanism. Current intelligent curtain control systems generally face a problem, that is, because the light intensity of artificial light sources (such as desk lamps, projectors, LED lights, etc.) is similar to that of natural light, the light sensor may not be able to distinguish between them, causing the system to mistakenly believe that the indoor light is sufficient or too strong, and then incorrectly control the opening and closing state of the curtains. For example, if the lights are turned on indoors and the external light intensity is low, the system may mistakenly judge that the indoor light is sufficient, thereby closing the curtains and resulting in insufficient light in the room. Therefore, the system needs an effective means to correct this misjudgment phenomenon.

[0094] The key to this implementation is misjudgment detection based on light intensity data, combined with interference compensation from artificial light sources to optimize curtain control. First, the system calculates the total light intensity in the room based on the input data from all light sensors. This total light intensity includes both natural light and artificial light sources. During this calculation, the system not only considers the raw data from each sensor but also assesses the impact of individual light sources, such as the distance between the artificial light source and the sensor and the brightness of the light source. This allows the system to initially determine the source of the indoor light and prepare for subsequent compensation steps.

[0095] Next, the system introduces a compensation factor to compensate for interference caused by artificial light sources. The compensation factor's calculation formula dynamically adjusts based on parameters such as the distance between the light source and the sensor, the light source's intensity, and the light source's stability. For example, a light source closer to the sensor will interfere more, so a higher compensation factor is required; a light source farther away will interfere less, so the compensation factor is correspondingly lower. The compensation factor adjusts each sensor's data to more closely resemble actual natural light intensity, rather than being overly influenced by artificial light sources.

[0096] Once all compensation factors are calculated, the system uses the corrected light intensity as the final lighting data and compares it with the preset natural light intensity threshold. When the corrected light intensity exceeds the threshold, the system determines that there is sufficient light and opens the curtains; when the light intensity falls below the threshold, the curtains close. This compensation mechanism not only allows the system to more accurately determine the intensity of natural light, but also reduces interference from artificial light sources, avoiding misjudgments that could lead to irrational curtain opening and closing, thereby improving the system's intelligence and reliability.

[0097] Furthermore, this implementation can adapt to the lighting characteristics of different environments by continuously learning and adjusting compensation factors. For example, users can set priorities to control the intensity of compensation for light source interference. In unique environments (such as conference rooms or theaters with strong artificial lighting), artificial light compensation can be enhanced to prevent strong interfering lights from affecting curtain control. Through dynamic adjustment and personalized settings, this implementation effectively enhances the system's intelligence, ensuring a consistently comfortable and energy-efficient indoor environment.

[0098] Implementation method three: This implementation method proposes a solution that combines environmental data such as indoor temperature and humidity with light intensity data to further optimize the control of intelligent curtains. In actual applications, relying solely on light intensity to control the opening and closing of curtains may not meet the user's multiple needs for comfort and energy efficiency. For example, even if there is sufficient natural light indoors, if the temperature is too high or the humidity is too high, the user will still feel uncomfortable. In addition, changes in indoor temperature and humidity may also affect the need for curtain adjustment. When the temperature is too high, more shading effect is required, while when the humidity is too high, the accumulation of moisture needs to be reduced. Therefore, comprehensive consideration of environmental data such as temperature and humidity can make the adjustment of curtains more humane and intelligent.

[0099] Specifically, the system first monitors indoor temperature and humidity changes in real time using temperature and humidity sensors. When the temperature rises or the humidity becomes excessive, the curtains automatically close according to the set priority, reducing direct sunlight and thus lowering the indoor temperature or humidity. When the temperature or humidity is lower, the curtains automatically adjust to a wider open position to maintain air circulation and prevent the room from becoming too closed or dry. Based on a comprehensive analysis of environmental data and light intensity, the system dynamically adjusts the opening and closing of the curtains to ensure an optimal indoor living environment.

[0100] To achieve this, the system employs a curtain control strategy based on weighted environmental data. Specifically, the system determines curtain control strategies based on a weighted average of temperature, humidity, and light intensity. The weighting factors for these environmental data can be adjusted based on the user's lifestyle, the specific function of the room, and personal preferences. For example, in hot summer weather, the weighting factor for temperature increases, making the system more inclined to use curtains to lower the temperature; whereas, in humid environments, the weighting factor for humidity increases, and the curtain control strategy prioritizes reducing moisture accumulation.

[0101] In this environmental data fusion solution, curtain control decisions are not based solely on changes in light intensity, but rather on a comprehensive assessment of multiple environmental variables. By optimizing algorithms and integrating user settings with actual environmental requirements, the system can precisely adjust the curtain opening and closing, providing a more intelligent and personalized control experience. This diversified control approach enables the smart curtain system to adapt to varying environmental conditions, thereby maximizing living comfort and energy efficiency.

[0102] The present invention uses a multi-light sensor weighted processing and misjudgment detection compensation mechanism, and the intelligent curtain system can significantly improve the accuracy and stability of light intensity data. The system uses multiple light sensors located in different room areas to ensure that the light intensity is collected more comprehensively, avoiding erroneous control caused by misjudgment or interference of a single sensor. This multi-sensor weighted calculation method can effectively filter out misleading signals caused by indoor artificial light sources (such as table lamps, LED lights, etc.), ensuring that the opening and closing state of the curtains is more in line with actual natural lighting requirements. In addition, the misjudgment detection and light source interference compensation mechanism enable the system to dynamically adjust the compensation factor, more accurately distinguish the contribution of natural light and artificial light sources, thereby avoiding incorrect adjustment of curtains due to excessive indoor artificial light sources. This not only improves the accuracy of curtain control, but also enhances the stability of the system in complex lighting environments, avoids unnecessary curtain switch reactions, and improves the user's living experience.

[0103] By combining temperature and humidity data with light intensity data, the present invention can fully consider the indoor environmental conditions when adjusting the opening and closing of the curtains, thereby better balancing comfort and energy saving effects. When the temperature is too high or the humidity is too high, the curtains will automatically adjust to a tighter state, reducing the accumulation of heat and moisture indoors and reducing the need for air conditioning and dehumidification equipment. This not only provides users with a more comfortable living environment, but also effectively reduces electricity consumption and achieves energy-saving effects. In addition, the adjustment of indoor lighting conditions will also be optimized based on these environmental data. For example, when the temperature is too low, the curtains will be opened moderately, using natural light to heat the room, thereby reducing the need for artificial heating. This multi-dimensional data fusion control not only improves living comfort, but also invisibly reduces energy consumption, with significant energy-saving effects.

[0104] The present invention makes the curtain control system more personalized and intelligent by introducing user preference settings and dynamic adjustment mechanisms. On the basis of weighted light calculation, users can adjust the weights of light, temperature and humidity according to personal needs and living habits, so that the system can automatically adjust the opening and closing of the curtains according to the actual needs of the user. For example, the user can set the curtains to give priority to temperature control in summer and to give priority to light adjustment in winter. This personalized adjustment scheme ensures that the system can not only meet the basic light adjustment needs, but also make dynamic adjustments according to seasonal changes, environmental changes and user comfort preferences. The system can automatically identify different environmental conditions and make adaptive adjustments, giving full play to the advantages of smart homes, so that curtain adjustment is no longer limited to simple light control, but is integrated into the user's living habits and environmental needs, truly realizing an intelligent and personalized control experience.

[0105] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0106] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

[0107] It should be noted that, in this document, if there are relational terms such as first and second, etc., they are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises", "comprising" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device that includes the element.

[0108] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0109] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0110] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0111] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0112] In addition, each functional unit in each embodiment of the present application 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.

[0113] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0114] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

Claims

1. Intelligent house curtain control system with automatic light sensing adjustment, characterized by: It includes a light sensor deployment module, a data acquisition and preliminary processing module, a weighted average processing module, a light intensity misjudgment judgment module, a misjudgment correction and environment optimization module, and a curtain adjustment control module: Light sensor deployment module, install multiple light sensors in the house, deployed in different locations, and each light sensor has an independent collection area for detecting the light intensity in different areas of the room; The data acquisition and preliminary processing module obtains the light intensity data collected by all light sensors in the room and performs preliminary processing to remove data interfered by artificial light sources; The weighted average processing module performs weighted average processing on all light intensity data, where the weighting coefficient is based on the installation location of the light sensor and the actual lighting conditions in the collection area, giving priority to the signals of sensors near windows; The light intensity misjudgment judgment module compares the light intensity data after weighted average processing with the preset natural light intensity threshold to determine whether there is a misjudgment phenomenon; Misjudgment correction and environment optimization module: If the judgment result is a misjudgment, it will automatically adjust the sampling frequency of the sensor and optimize the curtain control strategy based on the indoor environment data; The curtain adjustment control module automatically adjusts the opening and closing status of the curtains according to the optimized light intensity data to ensure that the indoor lighting meets the predetermined requirements while avoiding the adverse effects caused by interference from artificial light sources.

2. The intelligent house curtain control system with automatic light sensing adjustment according to claim 1 is characterized in that: The weighted averaging processing step includes: performing time-series filtering on the output data of each light sensor to eliminate errors caused by instantaneous light fluctuations in curtain adjustment, thereby smoothly controlling the opening and closing state of the curtains and avoiding over-response to rapid changes in light intensity.

3. The intelligent house curtain control system with automatic light sensing adjustment according to claim 1 is characterized in that: The weighting coefficient is set based on the position of the sensor and the window, the influence of the ambient light source, and the stability of the sensor. The calculation expression is as follows: W i =f(d i ,s i ), Where W i is the weighting coefficient of the i-th light sensor, d i is the distance from the i-th light sensor to the window, s i is the stability index of the i-th light sensor; According to the weighting coefficient of each sensor, the weighted average light intensity is calculated. The calculation expression is as follows: ， Where, I avg is the weighted average light intensity, I i is the light intensity data of the i-th light sensor, and N is the total number of light sensors.

4. The intelligent house curtain control system with automatic light sensing adjustment according to claim 1 is characterized in that: Indoor environmental data includes data from temperature sensors and humidity sensors, which are used to assist in determining whether light intensity is interfered with by artificial light sources. When the temperature and humidity are abnormal, the curtain opening and closing are automatically adjusted to improve the indoor climate and maintain a comfortable living environment.

5. The intelligent house curtain control system with automatic light sensing adjustment according to claim 1 is characterized in that: According to the data collected by the light sensor, by performing misjudgment detection, the calculation expression is as follows: ， Where, I total is the total light intensity, L j is the illumination intensity of the jth artificial light source, and M is the number of artificial light sources; In order to reduce the interference of artificial light sources, the artificial light source compensation factor is set. The calculation expression is as follows: ， Where C j is the compensation factor for j artificial light sources, d j is the distance from the artificial light source to the sensor, and α is the adjustment factor; 4 Taking into account the compensation of artificial light sources, calculate the corrected total light intensity. The calculation expression is as follows: ， Where, I correct is the corrected total light intensity; The corrected total light intensity I correct Compare with the preset natural light threshold: If I correct ≥I threshold The curtain opening increases. If I correct threshold The curtains are closed or adjusted, I threshold is the preset natural light threshold.​ 6. The intelligent house curtain control system with automatic light sensing adjustment according to claim 1, characterized in that: Indoor environmental data includes data from temperature sensors and humidity sensors, which are used to assist in determining whether light intensity is interfered with by artificial light sources. When the temperature and humidity are abnormal, the curtain opening and closing are automatically adjusted to improve the indoor climate and maintain a comfortable living environment.

7. The intelligent house curtain control system with automatic light sensing adjustment according to claim 1, characterized in that: The curtain opening and closing control is combined with the preset user preference settings. By analyzing the user's work and rest time and preferences, the curtain opening and closing strategy is adjusted to achieve more personalized and intelligent curtain adjustment. The curtain opening and closing status is adjusted not only based on the light intensity, but also combined with the current indoor temperature and humidity data to form a complex adjustment algorithm. The specific steps are as follows: Data is collected regularly from the temperature and humidity sensors to determine the current ambient temperature and humidity. If the ambient temperature or humidity is high, the curtains will be closed more tightly to reduce the accumulation of heat or moisture indoors. If the ambient temperature or humidity is low, the curtains will be opened to ensure full air circulation and natural light. The adjustment formula is as follows: C adjust =β1·T+β2·H, Where C adjust is the priority value of temperature and humidity for curtain adjustment, T is the current ambient temperature, H is the humidity value, β1 is the weight coefficient of temperature, and β2 is the weight coefficient of humidity; The final curtain control decision is formed by combining the priority and light intensity judgment results. The formula is as follows: D final =max(I correct ,C adjust ), Where D final It is the final curtain adjustment degree.

8. The intelligent house curtain control system with automatic light sensing adjustment according to claim 1, characterized in that: Remote control via a mobile device application allows users to view indoor light intensity, temperature, and humidity in real time, and manually adjust the curtains to suit their needs. In addition, the curtains can be automatically adjusted according to a preset schedule to suit the user's living habits.

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