An intelligent door and window control system

Abstract

This invention proposes an intelligent door and window control system, relating to the field of intelligent door and window control technology. It includes an environmental data acquisition module, a cloud data storage module, a weather data reading module, and an intelligent door and window control module. The environmental data acquisition module collects indoor and outdoor environmental parameters respectively. The cloud data storage module stores the indoor and outdoor environmental parameters, as well as the window opening angle output by the intelligent door and window control module, and sends the indoor and outdoor environmental parameters to the intelligent door and window control module. The weather data reading module reads the current day's weather data and historical weather data, and sends these data to the intelligent door and window control module. The intelligent door and window control module calculates the required window opening angle for the intelligent window based on the indoor and outdoor environmental parameters and the current day's weather data, and automatically controls the opening and closing of the intelligent window based on the window opening angle. This invention helps improve the control accuracy of intelligent windows and reduce energy consumption.

Description

Technical Field

[0001] This invention relates to the field of intelligent door and window control technology, and in particular to an intelligent door and window control system. Background Technology

[0002] Traditional window designs typically focus solely on lighting and ventilation, neglecting their role in energy conservation, environmental protection, and safety. However, with the development of smart building technologies, the demand for intelligent management of large-scale spaces (such as office buildings, shopping malls, and exhibition halls) is growing. Smart windows, as a crucial component of building intelligence, play a vital role in indoor environment regulation, air quality control, and energy management.

[0003] Chinese Patent Publication No. CN112255928A discloses a control method, device, system, and electronic device for smart homes, comprising the following steps: acquiring target feature quantities, including current outdoor feature quantities and / or current indoor feature quantities; the current outdoor feature quantities include at least one of outdoor environmental information and user movement information; the current indoor feature quantities include at least one of indoor environmental information and operating status information of smart home devices; inputting the target feature quantities into a pre-trained intelligent judgment model to obtain a first device control command; the intelligent judgment model is obtained by training a preset neural network model based on historical feature data; the historical feature data includes historical feature quantities and their corresponding device control commands; and sending the first device control command to the corresponding first smart home device to enable the first smart home device to perform the corresponding operation. However, the above application cannot consider indoor and outdoor environmental parameters in real time, and cannot flexibly adjust the opening degree of windows according to changes in the indoor and outdoor environment, which wastes energy and affects the comfort of residents. Therefore, it is necessary to provide an intelligent door and window control system to improve the control accuracy of smart windows and thus reduce energy consumption. Summary of the Invention

[0004] In view of this, the present invention proposes an intelligent door and window control system. By simultaneously collecting indoor and outdoor environmental parameters, the intelligent home door and window control system can ensure timely response to environmental changes, thereby improving the control accuracy of intelligent windows and reducing energy consumption.

[0005] This invention provides an intelligent door and window control system, including an environmental data acquisition module, a cloud data storage module, a weather data reading module, and a door and window intelligent control module. The intelligent door and window control module is connected to the environmental data acquisition module, the cloud data storage module, and the weather data reading module, respectively.

[0006] The environmental data acquisition module is used to collect indoor environmental parameters and outdoor environmental parameters respectively;

[0007] The cloud data storage module is used to store the indoor environmental parameters, the outdoor environmental parameters, and the window opening angle output by the smart door and window control module, and to send the indoor environmental parameters and the outdoor environmental parameters to the smart door and window control module.

[0008] The weather data reading module is used to read the current day's weather data and historical weather data, and send the current day's weather data and the historical weather data to the door and window intelligent control module;

[0009] The intelligent window and door control module is used to calculate the required opening angle of the intelligent window based on the indoor environmental parameters, outdoor environmental parameters, and the weather data of the day, and to automatically control the opening and closing of the intelligent window based on the opening angle.

[0010] Based on the above technical solutions, preferably, the step of calculating the required opening angle of the smart window according to the indoor environmental parameters, outdoor environmental parameters, and the weather data of the day specifically includes:

[0011] Based on the personnel density influence coefficient, personnel density, and spatial volume of the room where the smart window is located in the indoor environmental parameters, the carbon dioxide concentration of the room where the smart window is located is calculated, and the carbon dioxide concentration is compared with the preset carbon dioxide concentration.

[0012] If the carbon dioxide concentration is greater than the preset carbon dioxide concentration, the smart window control module obtains the window opening operation command and calculates the ventilation volume of the smart window and the target window opening angle corresponding to the room where the smart window is located based on the outdoor environmental parameters and the indoor environmental parameters.

[0013] The intelligent window control module controls the intelligent window to open and close at the target opening angle, and stores the actual opening angle of the intelligent window after the opening and closing operation in the cloud data storage module.

[0014] Based on the above technical solutions, preferably, the expression for the carbon dioxide concentration is:

[0015]

[0016] in, Let t represent the indoor carbon dioxide concentration at time t, η represent the baseline carbon dioxide concentration, α represent the per capita carbon dioxide emission baseline coefficient, M represent the population density influence coefficient, R represent the indoor air circulation coefficient, β represent the temperature correction coefficient, ρ represent the indoor population density, and V represent the current room volume.

[0017] More preferably, the expression for the ventilation volume of the smart window is:

[0018]

[0019] Where ω represents the basic ventilation coefficient, δ represents the wind speed influence coefficient, v represents the outdoor wind speed, ε represents the temperature difference influence coefficient, ΔT represents the indoor and outdoor temperature difference, Q represents the ventilation volume of the smart window, and η out This indicates the outdoor carbon dioxide concentration standard value, and A represents the actual open window area of ​​the smart window. max η represents the maximum opening area of ​​the smart window. tg Indicates the target indoor carbon dioxide concentration, η max The maximum permissible indoor carbon dioxide concentration is represented by γ1, the weight of the first environmental factor is represented by γ2, the weight of the second environmental factor is represented by γ3, the weight of the third environmental factor is represented by P, the indoor-outdoor pressure difference is represented by μ, the height correction factor is represented by h, and the actual floor height of the current room is represented by h. ref λ represents the reference floor height, λ represents the pressure difference influence coefficient, and θ represents the target opening angle of the smart window.

[0020] More preferably, the system also includes a monitoring area division module, which is used to divide the room where the smart window is located into multiple equally sized detection sub-intervals, and to match the carbon dioxide concentration value of each monitoring sub-interval with the personnel density influence coefficient corresponding to each carbon dioxide concentration value stored in the cloud data storage module to obtain the personnel density influence coefficient corresponding to the room where the smart window is located.

[0021] Furthermore, the monitoring area division module is also used to obtain the light intensity of each monitoring sub-area, obtain the curtain pull coefficient of the smart curtain that matches the smart window based on the target light intensity range corresponding to various smart curtain materials stored in the cloud data storage module, and adjust the curtain pull area according to the curtain pull coefficient corresponding to the smart curtain.

[0022] Further preferred options include:

[0023] The curtain pull coefficient corresponding to the smart curtain is matched with the curtain pull area corresponding to each curtain pull coefficient in the cloud data storage module to obtain the curtain pull area corresponding to the smart curtain.

[0024] The area with the highest brightness in the monitoring sub-interval is marked as the curtain area, and the smart curtain is adjusted according to the curtain area corresponding to the smart curtain.

[0025] More preferably, after adjusting the curtain area according to the curtain coefficient corresponding to the smart curtain, the method further includes:

[0026] The current light intensity of each monitoring sub-interval is compared with the light intensity range. If the current light intensity is outside the light intensity range, it is determined that the curtain area of ​​the smart curtain needs to be adjusted, and the absolute value of the temperature change caused by adjusting the current light intensity to the light intensity range is calculated.

[0027] Determine whether the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is outside the target temperature range;

[0028] If the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is within the target temperature range, then the parameter type to be adjusted is determined to be light intensity, and the curtain area is adjusted based on the difference between the current light intensity and the boundary of the light intensity range.

[0029] If the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is outside the target temperature range, then the temperature excess value exceeding the temperature range is calculated, and the parameter types that need to be adjusted are light intensity and temperature. The curtain area is then adjusted based on the difference between the current light intensity and the boundary of the light intensity range, as well as the temperature excess value.

[0030] More preferably, the indoor environmental parameters include indoor carbon dioxide concentration, personnel density influence coefficient, indoor temperature, light intensity, indoor pressure, indoor target carbon dioxide concentration, and indoor maximum allowable carbon dioxide concentration, and the outdoor environmental parameters include outdoor wind speed, outdoor temperature, and outdoor pressure.

[0031] More preferably, the outdoor environmental parameters are collected by an external environmental parameter acquisition device, which includes an ultrasonic anemometer, an outdoor temperature sensor, and an outdoor pressure sensor. The indoor environmental parameters are collected by an internal environmental parameter acquisition device, which includes an oxygen concentration detector, a carbon dioxide concentration detector, an air flow rate sensor, a light intensity sensor, and an indoor pressure sensor.

[0032] The intelligent door and window control system provided by this invention has the following advantages over the prior art:

[0033] (1) By simultaneously collecting indoor and outdoor environmental parameters, the limitations of traditional systems that only collect single environmental parameters are avoided. Real-time comparison of indoor and outdoor environmental data is achieved, ensuring that the smart home window and door control system can respond to environmental changes in a timely manner. In addition, by combining the weather data of the day and historical weather data, more comprehensive environmental information is provided, thereby improving the control accuracy of smart windows and reducing energy consumption. The smart window and door control module can process indoor and outdoor environmental parameters and weather data at the same time, realize intelligent decision-making based on multi-dimensional data and calculate the optimal window opening angle based on real-time environmental data. It considers multiple environmental factors such as indoor and outdoor temperature difference and humidity difference, realizes precise control of window and door opening and closing and avoids excessive adjustment of smart windows. It adjusts the opening and closing status of smart windows in real time, maintains the comfort of the indoor environment, reduces manual intervention and improves the operating efficiency of the smart home window and door control system.

[0034] (2) By arranging sensors in different monitoring sub-intervals, real-time monitoring and precise control of light intensity can be achieved. At the same time, temperature change factors are considered to ensure the overall comfort of the indoor environment. It can also automatically determine the type of parameter that needs to be adjusted and pre-evaluate the impact of temperature before adjusting the light intensity to effectively prevent environmental parameters from going out of control. During the adjustment process, both light intensity and temperature are considered. By reasonably allocating adjustment weights, the overall balance and optimization of environmental parameters can be achieved to avoid over-adjustment and improve operating efficiency. Moreover, the opening and closing degree of the curtains can be dynamically adjusted according to environmental changes in different time periods and weather conditions to continuously optimize control parameters, thereby providing users with a stable and comfortable indoor environment and significantly improving the living experience. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic diagram of the framework of an intelligent door and window control system provided by the present invention. Detailed Implementation

[0037] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0038] This invention discloses an intelligent door and window control system, with reference to Figure 1It includes an environmental data acquisition module, a cloud data storage module, a weather data reading module, and a smart door and window control module. The smart door and window control module is connected to the environmental data acquisition module, the cloud data storage module, and the weather data reading module, respectively.

[0039] The environmental data acquisition module is used to collect indoor and outdoor environmental parameters respectively. Indoor environmental parameters include indoor carbon dioxide concentration, personnel density influence coefficient, indoor temperature, light intensity, indoor pressure, indoor target carbon dioxide concentration, and indoor maximum allowable carbon dioxide concentration. Outdoor environmental parameters include outdoor wind speed, outdoor temperature, and outdoor pressure.

[0040] In this embodiment, outdoor environmental parameters are collected through external environmental parameter acquisition devices, which include an ultrasonic anemometer, an outdoor temperature sensor, and an outdoor pressure sensor. Indoor environmental parameters are collected through internal environmental parameter acquisition devices, which include an oxygen concentration detector, a carbon dioxide concentration detector, an air velocity sensor, a light intensity sensor, and an indoor pressure sensor.

[0041] Furthermore, the temperature and humidity sensors can be high-precision sensors such as DHT22 or SHT30, with a measurement range of -40℃ to 80℃ and 0-100%RH humidity; the CO2 concentration sensor uses an NDIR sensor, with a measurement range of 0-5000ppm; and the light intensity sensor uses a digital light sensor such as BH1750, with a measurement range of 1-65535lux. All of these sensors are installed indoors, preferably in the center of the room, at least 30cm away from the wall, and away from air conditioning vents and direct sunlight from windows. Outdoor temperature and humidity sensors are waterproof; the wind speed sensor uses an ultrasonic anemometer, with a measurement range of 0-30m / s; and the light intensity sensor uses a waterproof light sensor, with a measurement range of 0-200000lux. All of these sensors are installed outdoors.

[0042] The cloud-based data storage module stores indoor and outdoor environmental parameters, as well as the window opening angle output by the smart window and door control module, and sends the indoor and outdoor environmental parameters to the smart window and door control module.

[0043] In this embodiment, the cloud data storage module stores indoor environmental parameters (such as temperature, humidity, air quality, etc.), outdoor environmental parameters (such as outdoor temperature, wind speed, light intensity, etc.), records the window opening angle data output by the smart door and window control module, and establishes a historical database.

[0044] In one example, the cloud data storage module receives the following information during the data acquisition phase:

[0045] Indoor environmental parameters: Temperature: 28℃, Humidity: 65%, CO2 concentration: 800ppm.

[0046] Outdoor environmental parameters: Temperature: 32℃, Humidity: 55%, Wind speed: 2m / s.

[0047] The information received by the cloud data storage module from the data storage records includes:

[0048] Timestamp: 2024-07-15 10:00:00

[0049] Location: Living room.

[0050] Indoor parameters: Temperature: 28℃, Humidity: 65%, CO2 concentration: 800ppm.

[0051] Outdoor parameters: Temperature: 32℃, Humidity: 55%, Wind speed: 2m / s.

[0052] Control output: Window opening angle: 45°.

[0053] The weather data reading module is used to read the current day's weather data and historical weather data, and send the current day's weather data and historical weather data to the door and window intelligent control module.

[0054] In this embodiment, the weather data reading module is used to acquire the weather data of the day (temperature, humidity, wind force, etc.) in real time, read historical weather data records, and support the acquisition of weather forecast data. It also formats the raw weather data, filters effective weather parameter information, and integrates the weather data of the day and the historical data.

[0055] In one example, the weather data for the day (2024-07-15 10:00:00) could include:

[0056] Real-time weather parameters: Temperature: 18℃, Humidity: 60%, Wind speed: 3m / s, Weather condition: Cloudy, Air quality: Good, Probability of precipitation: 20%.

[0057] Weather forecast data (next 6 hours): 10:00-13:00: Cloudy turning sunny, temperature 18-22℃; 13:00-16:00: Sunny, temperature 22-25℃.

[0058] Historical weather data (same time period in the last 7 days):

[0059] 2024-07-08: Sunny, temperature 16-23℃, humidity 55%.

[0060] 2024-07-09: Cloudy, temperature 17-22℃, humidity 62%.

[0061] 2024-07-10: Cloudy, temperature 15-20℃, humidity 70%.

[0062] 2024-07-11: Sunny, temperature 18-24℃, humidity 58%.

[0063] 2024-07-12: Cloudy, temperature 17-21℃, humidity 65%.

[0064] 2024-07-13: Sunny, temperature 19-25℃, humidity 56%.

[0065] 2024-07-14: Cloudy, temperature 16-22℃, humidity 63%.

[0066] The weather trend analysis obtained by the weather data reading module includes a stable upward trend in temperature, a humidity fluctuation range of 55%-70%, and mainly sunny weather. Corresponding control suggestions based on the weather data are given, including: moderately open windows for ventilation in the morning (window angle 30°), adjust the window angle at noon according to the temperature rise (45°), and dynamically adjust according to temperature changes in the afternoon.

[0067] The smart window and door control module is used to calculate the required opening angle of the smart window based on indoor environmental parameters, outdoor environmental parameters, and the weather data of the day, and to automatically control the opening and closing of the smart window based on the opening angle.

[0068] In this embodiment, calculating the required opening angle of the smart window based on indoor environmental parameters, outdoor environmental parameters, and the weather data of the day specifically includes steps S11 to S13:

[0069] Step S11: Based on the personnel density influence coefficient, personnel density, and spatial volume of the room where the smart window is located in the indoor environmental parameters, calculate the carbon dioxide concentration in the room where the smart window is located, and compare the carbon dioxide concentration with the preset carbon dioxide concentration.

[0070] In this step, the expression for carbon dioxide concentration is:

[0071]

[0072] in, Let t represent the indoor carbon dioxide concentration at time t, η represent the baseline carbon dioxide concentration, α represent the per capita carbon dioxide emission baseline coefficient, M represent the population density influence coefficient, R represent the indoor air circulation coefficient, β represent the temperature correction coefficient, ρ represent the indoor population density, and V represent the current room volume.

[0073] In step S12, if the carbon dioxide concentration is greater than the preset carbon dioxide concentration, the smart window control module obtains the window opening operation command and calculates the ventilation volume of the smart window and the target window opening angle corresponding to the room where the smart window is located based on the outdoor environmental parameters and the indoor environmental parameters.

[0074] In this step, the expression for the ventilation volume of the smart window is:

[0075]

[0076] Where ω represents the basic ventilation coefficient, δ represents the wind speed influence coefficient, v represents the outdoor wind speed, ε represents the temperature difference influence coefficient, ΔT represents the indoor and outdoor temperature difference, Q represents the ventilation volume of the smart window, and η out This indicates the outdoor carbon dioxide concentration standard value, and A represents the actual open window area of ​​the smart window. max η represents the maximum opening area of ​​the smart window. tg Indicates the target indoor carbon dioxide concentration, η max The maximum permissible indoor carbon dioxide concentration is represented by γ1, the weight of the first environmental factor is represented by γ2, the weight of the second environmental factor is represented by γ3, the weight of the third environmental factor is represented by P, the indoor-outdoor pressure difference is represented by μ, the height correction factor is represented by h, and the actual floor height of the current room is represented by h. ref λ represents the reference floor height, λ represents the pressure difference influence coefficient, and θ represents the target opening angle of the smart window.

[0077] Step S13: The smart window control module controls the smart window to open and close at the target opening angle, and stores the actual opening angle of the smart window after the opening and closing operation in the cloud data storage module.

[0078] In this step, the smart window is initialized, the target opening angle is obtained, and the current window status is read. Angle adjustment is performed through a soft start phase, a main adjustment phase, and a fine-tuning phase. In the soft start phase, the adjustment speed is low, with an angle deviation of 0° to 10°. In the main adjustment phase, the adjustment speed is standard, with the goal of adjusting the angle in segments to the target angle. In the fine-tuning phase, the adjustment speed is low-speed fine-tuning, with the goal of precise angle adjustment. Simultaneously, the smart home window and door control system monitors the current angle value of the smart window, the status of the actuator motor, torque feedback, and position sensor data in real time.

[0079] The smart home door and window control system also includes a monitoring area division module. This module divides the room where the smart window is located into multiple equally sized detection sub-zones. It then matches the carbon dioxide concentration value in each monitoring sub-zone with the corresponding personnel density influence coefficient stored in the cloud data storage module to obtain the personnel density influence coefficient for the room where the smart window is located. The monitoring area division module is connected to both the smart door and window control module and the environmental data acquisition module.

[0080] In this embodiment, the curtain pull coefficient corresponding to the smart curtain is matched with the curtain pull area corresponding to each curtain pull coefficient in the cloud data storage module to obtain the curtain pull area corresponding to the smart curtain; the area with the highest brightness in the monitoring sub-interval is marked as the curtain pull area, and the smart curtain is adjusted according to the curtain pull area corresponding to the smart curtain.

[0081] In this embodiment, two basic data structures need to be prepared first: curtain coefficient data and cloud reference data. The curtain coefficient data contains basic information about the curtain, such as the curtain ID, the current curtain coefficient, and the curtain's physical parameters (total width, total height, and maximum area). The cloud reference data includes a standard curtain coefficient and a corresponding area ratio lookup table.

[0082] The system obtains the actual curtain pull coefficient value of the current curtain, retrieves the coefficient-area comparison table from the cloud data storage module, and then iterates through all the standard coefficients in the cloud comparison table. It calculates the difference between the current coefficient and each standard coefficient, finds the standard coefficient with the smallest difference, and determines it as the best matching result. The system obtains the standard area ratio corresponding to this best matching coefficient, records the standard coefficient selected by the system, and extracts the corresponding area ratio value to generate a complete matching result data package.

[0083] Based on the obtained physical parameters of the curtain, including total width, total height and maximum usable area, the matched area ratio value is confirmed and the area is calculated. The actual curtain area is obtained by multiplying the maximum area by the area ratio. The calculation result is then numerically corrected to ensure that the calculation result does not exceed the maximum area of ​​the curtain.

[0084] The smart home door and window control system performs boundary checks and processing on the curtain coefficient, mainly including the following situations: when the coefficient is less than 0, it automatically adjusts the coefficient to 0 and records the processing description; when the coefficient is greater than 1, it automatically adjusts the coefficient to 1 and records the processing description; when the coefficient is within the normal range, it keeps the original value unchanged and records the status as normal. It also performs boundary checks and processing on the calculated area value: when the calculated area is less than 0, it adjusts the area value to 0 and records the processing description; when the area exceeds the maximum value, it adjusts the area value to the maximum allowable value and records the processing description; when the area is within the normal range, it keeps the calculation result unchanged and records the status as normal.

[0085] In this embodiment, steps S21 to S24 are also included:

[0086] Step S21: Compare the current light intensity of each monitoring sub-interval with the light intensity range. If the current light intensity is outside the light intensity range, determine that the curtain area of ​​the smart curtain needs to be adjusted, and calculate the absolute value of the temperature change caused by adjusting the current light intensity to the light intensity range.

[0087] In this step, the current light intensity value is obtained, the target light intensity range (minimum and maximum values) is determined, and the conversion coefficient between light intensity and temperature is obtained. When the light intensity is lower than the minimum value of the range, the light difference is calculated as: minimum allowable value - current light value, and the adjustment direction is recorded as "increase". When the light intensity is higher than the maximum value of the range, the light difference is calculated as: current light value - maximum allowable value, and the adjustment direction is recorded as "decrease". When the light intensity is within the range, the light difference is 0, and no adjustment is required.

[0088] In real-world scenarios, light intensity and temperature are not two unrelated environmental parameters; they have a certain influence on each other, primarily manifested in the effect of light intensity on temperature. Light intensity can indirectly affect indoor temperature by influencing indoor thermal radiation and absorption. When light intensity increases, indoor objects may absorb more light energy and convert it into heat energy. This can lead to an increase in indoor temperature. However, this process is not linear because it is affected by various factors, such as whether sunlight is direct, the reflectivity and heat capacity of indoor objects, and the convection of indoor air.

[0089] Furthermore, the conversion coefficient between light intensity and temperature can be systematically measured under specific environmental conditions. Basic experimental parameters (indoor area, window area, window orientation, etc.) are recorded, and multiple measurements are conducted during a suitable measurement period (e.g., 10:00 AM to 2:00 PM). Changes in light intensity and corresponding temperature changes are recorded, and the average conversion coefficient is calculated from the experimental data. The effects of seasonality, time, and weather factors are also considered. Seasonal factors include spring, summer, autumn, and winter. Spring has a moderate conversion coefficient (baseline value), summer has a higher conversion coefficient (approximately 1.2 times the baseline value), autumn has a slightly lower conversion coefficient (approximately 0.9 times the baseline value), and winter has the lowest conversion coefficient (approximately 0.8 times the baseline value). Time factors include morning, noon, afternoon, and evening. Morning has a lower conversion coefficient (approximately 0.9 times the baseline value), noon has the highest conversion coefficient (approximately 1.2 times the baseline value), afternoon has a moderate conversion coefficient (approximately 1.0 times the baseline value), and evening has a lower conversion coefficient (approximately 0.8 times the baseline value). Weather factors include sunny, cloudy, and overcast (rainy) days. Sunny days have the highest conversion factor (approximately 1.2 times the baseline value), cloudy days have a medium conversion factor (approximately 1.0 times the baseline value), and overcast (rainy) days have a low conversion factor (approximately 0.8 times the baseline value). The baseline conversion factor is calculated as: (window area × glass transmittance) / (room volume × air density × air specific heat capacity).

[0090] Therefore, the expression for the temperature change can be:

[0091] T r =|ΔL|×(Cb×SF×TF×WF)

[0092] Among them, T r ΔL represents the temperature change, ΔL represents the change in light intensity, Cb represents the base conversion factor, SF represents the seasonal adjustment factor, TF represents the time adjustment factor, and WF represents the weather adjustment factor.

[0093] Step S22: Determine whether the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is outside the target temperature range.

[0094] Step S23: If the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is within the target temperature range, then the parameter type to be adjusted is determined to be light intensity, and the curtain area is adjusted based on the difference between the current light intensity and the boundary of the light intensity range.

[0095] Step S24: If the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is outside the target temperature range, calculate the temperature excess value that exceeds the temperature range, determine that the parameter types that need to be adjusted are light intensity and temperature, and adjust the curtain area based on the difference between the current light intensity and the boundary of the light intensity range and the temperature excess value.

[0096] In this step, the acquired current lighting and temperature parameters are those for the current urban environment. The lighting parameters can be either just the light intensity or the angle of sunlight to determine if the sunlight is direct. Alternatively, both indoor and outdoor lighting and temperature parameters can be acquired simultaneously and compared to determine subsequent control actions. For example, after acquiring the outdoor light intensity, it's possible to determine the optimal indoor light intensity by adjusting light transmission. Similarly, after acquiring the outdoor temperature parameters, it's possible to determine the direction in which the indoor temperature will change by adjusting insulation performance.

[0097] By deploying sensors in different monitoring sub-zones, real-time monitoring and precise control of light intensity are achieved. Temperature variations are also considered to ensure overall indoor comfort. The system automatically identifies the types of parameters requiring adjustment and pre-assesses the impact of temperature before adjusting light intensity, effectively preventing environmental parameters from spiraling out of control. During adjustment, both light intensity and temperature are considered, and by rationally allocating adjustment weights, overall environmental parameters are balanced and optimized to avoid over-adjustment and improve operational efficiency. Furthermore, the system dynamically adjusts the opening and closing of curtains based on environmental changes at different times and under different weather conditions, continuously optimizing control parameters to provide users with a stable and comfortable indoor environment and significantly enhance their living experience.

[0098] In one example, the rainfall, rainfall intensity, wind speed, and wind direction of the smart window are collected by a rain sensor and an ultrasonic anemometer in the external environment parameter acquisition device. The angle formed between the outdoor wind direction and the smart window is recorded as the wind direction angle. At the same time, the wind direction angle is matched with the reference rainfall, reference rainfall intensity, and reference wind speed corresponding to each wind direction angle stored in the reference database to obtain the reference rainfall, reference rainfall intensity, and reference wind speed corresponding to the smart window.

[0099] It should be noted that different wind angles directly affect the window closing index of smart windows. For example, in light rain, when the wind angle allows outdoor rainwater to drift into the room, the windows must be closed in time regardless of the amount of rainfall, rainfall intensity, and wind speed. In heavy rain, when the wind angle does not allow outdoor rainwater to drift into the room, the windows do not need to be closed.

[0100] In one specific embodiment, the smart window in this invention can be automatically controlled. In rainy weather, the smart window can be controlled based on rainfall amount, rainfall intensity, wind speed, and wind direction. The reference rainfall amount, reference rainfall intensity, and reference wind speed are obtained based on the wind direction and angle, providing strong data support and scientific basis for subsequent data analysis, and preventing people from slipping and getting injured due to wet floors caused by falling rain. On the other hand, by analyzing the indoor window opening index based on indoor carbon dioxide concentration, air velocity, and indoor space volume, the timely opening of the window is improved, ensuring timely indoor air circulation.

[0101] Smart home window and door control systems simultaneously collect indoor and outdoor environmental parameters, avoiding the limitations of traditional systems that only collect single environmental parameters. This enables real-time comparison of indoor and outdoor environmental data, ensuring that the smart home window and door control system can respond promptly to environmental changes. Furthermore, by combining daily and historical weather data, it provides more comprehensive environmental information, thereby improving the control accuracy of smart windows and reducing energy consumption. The smart window and door control module can simultaneously process indoor and outdoor environmental parameters and weather data, enabling intelligent decision-making based on multi-dimensional data and calculating the optimal window opening angle based on real-time environmental data. It considers multiple environmental factors such as indoor and outdoor temperature and humidity differences, achieving precise control of window and door opening and closing and avoiding over-adjustment of smart windows. It adjusts the opening and closing status of smart windows in real time to maintain indoor environmental comfort, reduce manual intervention, and improve the operating efficiency of the smart home window and door control system.

[0102] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent door and window control system, characterized in that, It includes an environmental data acquisition module, a cloud data storage module, a weather data reading module, and a smart door and window control module. The smart door and window control module is connected to the environmental data acquisition module, the cloud data storage module, and the weather data reading module, respectively. The environmental data acquisition module is used to collect indoor environmental parameters and outdoor environmental parameters respectively; The cloud data storage module is used to store the indoor environmental parameters, the outdoor environmental parameters, and the window opening angle output by the smart door and window control module, and to send the indoor environmental parameters and the outdoor environmental parameters to the smart door and window control module. The weather data reading module is used to read the current day's weather data and historical weather data, and send the current day's weather data and the historical weather data to the door and window intelligent control module; The intelligent window and door control module is used to calculate the required opening angle of the intelligent window based on the indoor environmental parameters, outdoor environmental parameters and the weather data of the day, and to automatically control the opening and closing of the intelligent window based on the opening angle. Based on the indoor and outdoor environmental parameters and the weather data for the day, the calculation of the required opening angle for the smart window specifically includes: Based on the personnel density influence coefficient, personnel density, and spatial volume of the room where the smart window is located in the indoor environmental parameters, the carbon dioxide concentration of the room where the smart window is located is calculated, and the carbon dioxide concentration is compared with the preset carbon dioxide concentration. If the carbon dioxide concentration is greater than the preset carbon dioxide concentration, the smart window control module obtains the window opening operation command and calculates the ventilation volume of the smart window and the target window opening angle corresponding to the room where the smart window is located based on the outdoor environmental parameters and the indoor environmental parameters. The intelligent window control module controls the intelligent window to open and close at the target opening angle, and stores the actual opening angle of the intelligent window after the opening and closing operation in the cloud data storage module.

2. The intelligent door and window control system as described in claim 1, characterized in that, The expression for the carbon dioxide concentration is: in, Let t represent the indoor carbon dioxide concentration at time t, η represent the baseline carbon dioxide concentration, α represent the per capita carbon dioxide emission baseline coefficient, M represent the population density influence coefficient, R represent the indoor air circulation coefficient, β represent the temperature correction coefficient, ρ represent the indoor population density, and V represent the current room volume.

3. The intelligent door and window control system as described in claim 2, characterized in that, The expression for the ventilation volume of the smart window is: Where ω represents the basic ventilation coefficient, δ represents the wind speed influence coefficient, v represents the outdoor wind speed, ε represents the temperature difference influence coefficient, ΔT represents the indoor and outdoor temperature difference, Q represents the ventilation volume of the smart window, and η out This indicates the outdoor carbon dioxide concentration standard value, and A represents the actual open window area of ​​the smart window. max η represents the maximum opening area of ​​the smart window. tg Indicates the target indoor carbon dioxide concentration, η max The maximum permissible indoor carbon dioxide concentration is represented by γ1, the weight of the first environmental factor is represented by γ2, the weight of the second environmental factor is represented by γ3, the weight of the third environmental factor is represented by P, the indoor-outdoor pressure difference is represented by μ, the height correction factor is represented by h, and the actual floor height of the current room is represented by h. ref λ represents the reference floor height, λ represents the pressure difference influence coefficient, and θ represents the target opening angle of the smart window.

4. The intelligent door and window control system as described in claim 1, characterized in that, It also includes a monitoring area division module, which is used to divide the room where the smart window is located into multiple monitoring sub-intervals of equal area, and match the carbon dioxide concentration value of each monitoring sub-interval with the personnel density influence coefficient corresponding to each carbon dioxide concentration value stored in the cloud data storage module to obtain the personnel density influence coefficient corresponding to the room where the smart window is located.

5. The intelligent door and window control system as described in claim 4, characterized in that, The monitoring area division module is also used to obtain the light intensity of each monitoring sub-area, obtain the curtain pull coefficient of the smart curtain that matches the smart window based on the target light intensity range corresponding to various smart curtain materials stored in the cloud data storage module, and adjust the curtain pull area according to the curtain pull coefficient corresponding to the smart curtain.

6. The intelligent door and window control system as described in claim 5, characterized in that, Also includes: The curtain pull coefficient corresponding to the smart curtain is matched with the curtain pull area corresponding to each curtain pull coefficient in the cloud data storage module to obtain the curtain pull area corresponding to the smart curtain. The area with the highest brightness in the monitoring sub-interval is marked as the curtain area, and the smart curtain is adjusted according to the curtain area corresponding to the smart curtain.

7. The intelligent door and window control system as described in claim 5, characterized in that, After adjusting the curtain area according to the curtain coefficient corresponding to the smart curtain, the method further includes: The current light intensity of each monitoring sub-interval is compared with the light intensity range. If the current light intensity is outside the light intensity range, it is determined that the curtain area of ​​the smart curtain needs to be adjusted, and the absolute value of the temperature change caused by adjusting the current light intensity to the light intensity range is calculated. Determine whether the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is outside the target temperature range; If the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is within the target temperature range, then the parameter type to be adjusted is determined to be light intensity, and the curtain area is adjusted based on the difference between the current light intensity and the boundary of the light intensity range. If the sum of the absolute value of the temperature change and the real-time temperature value corresponding to the current light intensity is outside the target temperature range, then the temperature excess value exceeding the temperature range is calculated, and the parameter types that need to be adjusted are light intensity and temperature. The curtain area is then adjusted based on the difference between the current light intensity and the boundary of the light intensity range, as well as the temperature excess value.

8. The intelligent door and window control system as described in claim 1, characterized in that, The indoor environmental parameters include indoor carbon dioxide concentration, personnel density influence coefficient, indoor temperature, light intensity, indoor pressure, indoor target carbon dioxide concentration, and indoor maximum allowable carbon dioxide concentration. The outdoor environmental parameters include outdoor wind speed, outdoor temperature, and outdoor pressure.

9. The intelligent door and window control system as described in claim 8, characterized in that, The outdoor environmental parameters are collected by external environmental parameter acquisition equipment, which includes an ultrasonic anemometer, an outdoor temperature sensor, and an outdoor pressure sensor. The indoor environmental parameters are collected by internal environmental parameter acquisition equipment, which includes an oxygen concentration detector, a carbon dioxide concentration detector, an air flow rate sensor, a light intensity sensor, and an indoor pressure sensor.

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