Intelligent door and window control system

Abstract

The invention provides an intelligent door and window control system, and relates to the technical field of intelligent door and window control, the intelligent door and window control system comprises an environment data acquisition module, a cloud data storage module, a weather data reading module and a door and window intelligent control module, the environment data acquisition module is used for respectively acquiring indoor environment parameters and outdoor environment parameters; the cloud data storage module is used for storing the indoor environment parameters, the outdoor environment parameters and the window opening angle output by the intelligent door and window control module and sending the indoor environment parameters and the outdoor environment parameters to the intelligent door and window control module. The weather data reading module is used for reading day weather data and historical weather data and sending the day weather data and the historical weather data to the door and window intelligent control module; the intelligent door and window control module is used for calculating the window opening angle needed by the intelligent window according to the indoor environment parameters, the outdoor environment parameters and the day weather data and automatically controlling opening and closing of the intelligent window based on the window opening angle. The control precision of the intelligent window can be improved, and energy consumption can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent door and window control, and in particular to an intelligent door and window control system. Background Art

[0002] Traditional window design usually only considers its lighting and ventilation functions, ignoring its role in energy saving, environmental protection and safety. With the development of intelligent building technology, the demand for intelligent management of large-scale venues (such as office buildings, shopping malls, exhibition halls, etc.) is growing. As an important part of building intelligence, smart windows play a key role in indoor environment regulation, air quality control and energy saving management.

[0003] The Chinese patent with publication number CN112255928A discloses a control method, device, system and electronic device for smart home, which includes the following steps: obtaining target feature quantity, including current outdoor feature quantity and / or current indoor feature quantity; current outdoor feature quantity includes: at least one of outdoor environment information and user motion information; current indoor feature quantity includes: at least one of indoor environment information and operation status information of smart home equipment; inputting the target feature quantity into a pre-trained intelligent judgment model to obtain a first device control instruction; the intelligent judgment model is obtained by training a preset neural network model based on historical feature data; historical feature data includes: historical feature quantity and its corresponding device control instruction; sending the first device control instruction to the corresponding first smart home device so that the first smart home device performs the corresponding operation. However, the above application cannot consider indoor environment parameters and outdoor environment parameters in real time, and cannot flexibly adjust the degree of opening of windows according to changes in indoor and outdoor environments, which wastes energy and affects the comfort of residents. Therefore, it is very necessary to provide an intelligent door and window control system to improve the control accuracy of intelligent 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, it is ensured that the intelligent home door and window control system can respond to environmental changes in a timely manner, thereby improving the control accuracy of the intelligent window and reducing energy consumption.

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

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

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

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

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

[0010] On the basis of the above technical solution, preferably, the calculating the window opening angle required for the smart window according to the indoor environmental parameters, the outdoor environmental parameters and the weather data of the day specifically includes:

[0011] Calculate the carbon dioxide concentration in the room where the smart window is located based on the population density influence coefficient, the population density, and the spatial volume of the room where the smart window is located in the indoor environment parameters, and compare the carbon dioxide concentration with a preset carbon dioxide concentration;

[0012] If the carbon dioxide concentration is greater than the preset carbon dioxide concentration, the door and window intelligent control module obtains the window opening operation instruction, 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 according to the outdoor environmental parameters and the indoor environmental parameters;

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

[0014] On the basis of the above technical solution, preferably, the expression of the carbon dioxide concentration is:

[0015]

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

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

[0018]

[0019] Among them, 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, η out represents the standard value of outdoor carbon dioxide concentration, A represents the actual window area of ​​the smart window, and A max represents the maximum window area of ​​the smart window, η tg represents the target indoor carbon dioxide concentration, η max represents the maximum allowable indoor carbon dioxide concentration, γ1 represents the weight of the first environmental factor, γ2 represents the weight of the second environmental factor, γ3 represents the weight of the third environmental factor, P represents the indoor and outdoor pressure difference, μ represents the height correction coefficient, h represents the actual floor height of the current room, and h ref represents the reference floor height, λ represents the pressure difference influence coefficient, and θ represents the target window opening angle of the smart window.

[0020] More preferably, it also includes a monitoring area division module, which is used to divide the room where the smart window is located into areas to obtain a plurality of detection 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.

[0021] Further preferably, the monitoring area division module is also used to obtain the light intensity of each monitoring sub-interval, obtain the curtain drawing coefficient of the smart curtain matching the smart window according to the target light intensity range corresponding to various smart curtain materials stored in the cloud data storage module, and adjust the curtain drawing area according to the curtain drawing coefficient corresponding to the smart curtain.

[0022] More preferably, it also includes:

[0023] Matching the curtain-pulling coefficient corresponding to the smart curtain with the curtain-pulling area corresponding to each curtain-pulling coefficient in the cloud data storage module to obtain the curtain-pulling area corresponding to the smart curtain;

[0024] The area with the maximum brightness in the monitoring sub-interval is marked as the curtain-drawing area, and the smart curtain is adjusted according to the curtain-drawing 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] 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 within the light intensity range.

[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, it is determined that the parameter type that needs to be adjusted is the 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, the temperature excess value exceeding the temperature range is calculated, and the parameter types that need to be adjusted are determined to be light intensity and temperature, and the curtain area is adjusted based on the difference between the current light intensity and the boundary of the light intensity range and the temperature excess value.

[0030] Further preferably, the indoor environmental parameters include indoor carbon dioxide concentration, occupant 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] Further preferably, the outdoor environmental parameters are collected by external environmental parameter collection equipment, and the external environmental parameter collection equipment includes an ultrasonic anemometer, an outdoor temperature sensor, and an outdoor pressure sensor; the indoor environmental parameters are collected by internal environmental parameter collection equipment, and the internal environmental parameter collection equipment 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 the present invention has the following beneficial effects compared with the prior art:

[0033] (1) By collecting indoor and outdoor environmental parameters at the same time, the limitation of traditional systems that only collect single environment data is avoided, and real-time comparison of indoor and outdoor environmental data is achieved, ensuring that the smart home door and window control system can respond to environmental changes in a timely manner. In addition, it combines the weather data of the day and historical weather data to provide more comprehensive environmental information, thereby improving the control accuracy of smart windows and reducing energy consumption. The door and window intelligent 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, consider multiple environmental factors such as indoor and outdoor temperature difference and humidity difference, realize precise control of door and window opening and closing, avoid excessive adjustment of smart windows, adjust the opening and closing status of smart windows in real time, maintain the comfort of the indoor environment, reduce manual intervention, and improve the operation efficiency of the smart home door and window control system.

[0034] (2) By arranging sensors in different monitoring sub-intervals, real-time monitoring and precise control of light intensity can be achieved, while taking temperature change factors into consideration to ensure the overall comfort of the indoor environment. At the same time, the system can automatically determine the type of parameter that needs to be adjusted and pre-evaluate the temperature impact before adjusting the light to effectively prevent environmental parameters from getting out of control. During the adjustment process, the two dimensions of light and temperature are considered and the adjustment weights are reasonably allocated to achieve overall balance and optimization of environmental parameters to avoid excessive adjustment and improve operating efficiency. In addition, the system can dynamically adjust the opening and closing of curtains according to environmental changes at different times and under different weather conditions, and continuously optimize control parameters, thereby providing users with a stable and comfortable indoor environment and significantly improving the living experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 A schematic diagram of the framework of an intelligent door and window control system provided by the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] The present invention discloses an intelligent door and window control system, referring to Figure 1, 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 door and window intelligent control module is connected to the environmental data acquisition module, the cloud data storage module and the weather data reading module respectively, wherein,

[0039] The environmental data acquisition module is used to collect indoor environmental parameters and outdoor environmental parameters respectively. Indoor environmental parameters include indoor carbon dioxide concentration, human 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 by external environmental parameter collection equipment, and the external environmental parameter collection equipment includes an ultrasonic anemometer, an outdoor temperature sensor, and an outdoor pressure sensor. Indoor environmental parameters are collected by internal environmental parameter collection equipment, and the internal environmental parameter collection equipment includes an oxygen concentration detector, a carbon dioxide concentration detector, an air flow rate sensor, a light intensity sensor, and an indoor pressure sensor.

[0041] Furthermore, the temperature and humidity sensor can use high-precision sensors such as DHT22 or SHT30, with a corresponding measurement range of -40℃~80℃ and humidity 0-100%RH; the CO2 concentration sensor uses an NDIR sensor with a corresponding measurement range of 0-5000ppm; the light intensity sensor uses a digital light sensor such as BH1750 with a corresponding measurement range of 1-65535lux. The above sensors are all set indoors and can be set in the center of the room, more than 30cm away from the wall and away from the air outlet of the air conditioner and the direct area of ​​the window. The outdoor temperature and humidity sensor uses a waterproof temperature and humidity sensor; the wind speed sensor uses an ultrasonic anemometer with a corresponding measurement range of 0-30m / s; the light intensity sensor uses a waterproof light sensor with a corresponding measurement range of 0-200000lux. The above sensors are all set outdoors.

[0042] The cloud data storage module is used to store indoor environmental parameters, outdoor environmental parameters and the window opening angle output by the door and window intelligent control module, and send the indoor environmental parameters and outdoor environmental parameters to the door and window intelligent control module.

[0043] In this embodiment, the cloud data storage module is used to store indoor environmental parameters (such as temperature, humidity, air quality, etc.), store outdoor environmental parameters (such as outdoor temperature, wind speed, light, etc.), record the window opening angle data output by the door and window intelligent control module, and establish a historical database.

[0044] In one example, the information received by the cloud data storage module during the data collection phase includes:

[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 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 weather data and historical weather data, and send the current day 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 obtain the current day's weather data (temperature, humidity, wind speed, etc.) in real time, read historical weather data records, and support the acquisition of weather forecast data, and format the original weather data, filter valid weather parameter information, and integrate the current day and historical weather data.

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

[0056] Real-time weather parameters: temperature: 18℃, humidity: 60%, wind speed: 3m / s, weather conditions: cloudy, air quality: good, precipitation probability: 20%.

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

[0058] Historical weather data (same period in the past 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 data reading module obtains weather trend analysis, including that the temperature trend is steadily rising, the humidity fluctuation range is 55%-70%, and the weather conditions are mainly sunny. Corresponding control suggestions based on weather data are given, including: moderate window opening for ventilation in the morning (window opening angle 30°, adjust the window opening angle (45°) according to the temperature rise at noon, and dynamically adjust according to the temperature change in the afternoon.

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

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

[0069] Step S11, based on the occupant density influence coefficient in the indoor environment parameters, the occupant density and the spatial volume of the room where the smart window is located, 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, represents the indoor carbon dioxide concentration at time t, η represents the basic carbon dioxide concentration, α represents the per capita carbon dioxide emission benchmark coefficient, M represents the population density influence coefficient, R represents the indoor air circulation coefficient, β represents the temperature correction coefficient, ρ represents the indoor population density, and V represents the spatial volume of the current room.

[0073] Step S12, if the carbon dioxide concentration is greater than the preset carbon dioxide concentration, the door and window intelligent control module obtains the window opening operation instruction, 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 according to the outdoor environmental parameters and the indoor environmental parameters.

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

[0075]

[0076] Among them, 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, η out represents the standard value of outdoor carbon dioxide concentration, A represents the actual window area of ​​the smart window, and A max represents the maximum window area of ​​the smart window, η tg represents the target indoor carbon dioxide concentration, η max represents the maximum allowable indoor carbon dioxide concentration, γ1 represents the weight of the first environmental factor, γ2 represents the weight of the second environmental factor, γ3 represents the weight of the third environmental factor, P represents the indoor and outdoor pressure difference, μ represents the height correction coefficient, h represents the actual floor height of the current room, and h ref represents the reference floor height, λ represents the pressure difference influence coefficient, and θ represents the target window opening angle of the smart window.

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

[0078] In this step, the smart window is controlled and initialized, the target window opening angle is obtained and the current window status is read. The angle is adjusted through the slow start stage, the main adjustment stage and the fine adjustment stage. The adjustment speed of the slow start stage is low-speed start, the adjustment angle deviation is 0° to 10°, the adjustment speed of the main adjustment stage is standard speed, the adjustment angle target is segmented adjustment to the target angle, the adjustment speed of the fine adjustment stage is low-speed fine adjustment, and the adjustment angle target is accurate. At the same time, the smart home door and window control system monitors the current angle value of the smart window, the execution motor status, 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, which is used to divide the room where the smart window is located to obtain multiple detection sub-intervals of equal area, and match the carbon dioxide concentration value of each monitoring sub-interval with the human density influence coefficient corresponding to each carbon dioxide concentration value stored in the cloud data storage module to obtain the human density influence coefficient corresponding to the room where the smart window is located. The monitoring area division module is connected to the door and window smart control module and the environmental data acquisition module respectively.

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

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

[0082] Get the actual curtain-drawing coefficient value of the current curtain, get the coefficient-area comparison table from the cloud data storage module, and the smart home door and window control system traverses all the standard coefficients in the cloud comparison table, calculates the difference between the current coefficient and each standard coefficient, finds the standard coefficient with the smallest difference, determines it as the best matching result, 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 packet.

[0083] Based on the physical parameters of the curtains, including the total width, total height and maximum available area, the matched area ratio value is confirmed and the area calculation is performed. The actual curtain area is obtained by multiplying the maximum area by the area ratio, and the calculation result is numerically corrected while ensuring that the calculation result does not exceed the maximum area of ​​the curtains.

[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, the coefficient is automatically adjusted to 0 and the processing instructions are recorded; when the coefficient is greater than 1, the coefficient is automatically adjusted to 1 and the processing instructions are recorded; when the coefficient is within the normal range, the original value is kept unchanged and the recorded status is normal. The calculated area value is checked and processed: when the calculated area is less than 0, the area value is adjusted to 0 and the processing instructions are recorded; when the area exceeds the maximum value, the area value is adjusted to the maximum allowable value and the processing instructions are recorded; when the area is within the normal range: the calculation result is kept unchanged and the recorded status is 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 within 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 value is calculated as the minimum allowable value - the 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 value is calculated as the current light value - the maximum allowable value, and the adjustment direction is recorded as "decrease"; when the light intensity is within the range, the light difference value is 0, and no adjustment is required.

[0088] In actual scenarios, light intensity and temperature are not two unrelated environmental parameters. There is a certain influence between the two, which is mainly reflected in the influence of light intensity on temperature. Light intensity can indirectly affect indoor temperature by affecting indoor thermal radiation and heat absorption. When light intensity increases, indoor objects may absorb more light energy and convert it into heat energy. This may lead to an increase in indoor temperature. However, this process is not linear because it is affected by many factors, such as whether the sunlight is direct, the reflectivity of indoor objects, heat capacity, and indoor air convection.

[0089] Further, the conversion coefficient of light intensity and temperature can be systematically measured under specific environmental conditions, record the basic parameters of the experiment (indoor area, window area, window orientation, etc.), select a suitable measurement time period (such as 10 am to 2 pm), perform multiple groups of measurements, record the light change amount and the corresponding temperature change value, and calculate the average conversion coefficient through experimental data. Consider the influence of seasonal factors, time factors and weather factors at the same time. Seasonal factors include spring, summer, autumn and winter. Spring has a moderate conversion coefficient (reference value), summer has a higher conversion coefficient (about 1.2 times the reference value), autumn has a slightly lower conversion coefficient (about 0.9 times the reference value), and winter has the lowest conversion coefficient (about 0.8 times the reference value). Time factors include morning, noon, afternoon and evening. Morning has a lower conversion coefficient (about 0.9 times the reference value), noon has the highest conversion coefficient (about 1.2 times the reference value), afternoon has a moderate conversion coefficient (about 1.0 times the reference value), and evening has a lower conversion coefficient (about 0.8 times the reference value). Weather factors include sunny, cloudy and overcast (rainy), sunny has the highest conversion coefficient (about 1.2 times the base value), cloudy has a medium conversion coefficient (about 1.0 times the base value), overcast (rainy) has a lower conversion coefficient (about 0.8 times the base value). And the basic conversion coefficient = (window area × glass transmittance) / (room volume × air density × air specific heat capacity).

[0090] Then the expression of temperature change value can be:

[0091] T r =|ΔL|×(Cb×SF×TF×WF)

[0092] Among them, T r Indicates the temperature change value, ΔL indicates the light change, Cb indicates the basic conversion coefficient, SF indicates the season adjustment factor, TF indicates the time adjustment factor, and WF indicates the weather adjustment factor.

[0093] Step S22, determining 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, it is determined that the parameter type that needs to be adjusted is the 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, the temperature excess value that exceeds the temperature range is calculated, and the parameter types that need to be adjusted are determined to be light intensity and temperature, and the curtain area is adjusted 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 current illumination parameters and temperature parameters obtained are the parameters in the city at present. Among them, the illumination parameters can obtain only the illumination intensity parameters, or further obtain the sunlight angle, which is used to determine whether the sunlight is in a direct state. It is also possible to obtain the indoor and outdoor illumination parameters and temperature parameters at the same time, and determine the subsequent control actions by comparing them. For example, after obtaining the external illumination intensity, it can be known how much the indoor illumination intensity can be adjusted by changing the light transmittance. After obtaining the external temperature parameters, it can be known in which direction the indoor temperature will change by changing the thermal insulation performance.

[0097] By arranging sensors in different monitoring sub-intervals, real-time monitoring and precise control of light intensity can be achieved, while taking temperature change factors into consideration to ensure the overall comfort of the indoor environment. At the same time, it can automatically determine the type of parameters that need to be adjusted, and pre-evaluate the temperature impact before adjusting the light to effectively prevent environmental parameters from getting out of control. During the adjustment process, the two dimensions of light and temperature are considered and the adjustment weights are reasonably allocated to achieve overall balance and optimization of environmental parameters to avoid excessive adjustment and improve operating efficiency. In addition, the opening and closing of curtains can be dynamically adjusted according to environmental changes at different times and under different weather conditions, and control parameters can be continuously optimized, thereby providing users with a stable and comfortable indoor environment and significantly improving the living experience.

[0098] In one example, the outdoor rainfall, rainfall intensity, wind speed and wind direction of the smart window are collected respectively by the rain sensor and the ultrasonic wind speed and direction meter in the external environmental parameter collection device; the angle formed by the outdoor wind direction of the smart window and the smart window is recorded as the wind direction angle, and 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 direction angles will directly affect the window closing index of smart windows. For example, in light rain weather, when the wind direction angle will cause outdoor rain to drift into the room, the windows must be closed in time regardless of the rainfall amount, rainfall intensity and wind speed. In heavy rain weather, when the wind direction angle cannot cause outdoor rain to drift into the room, there is no need to close the windows.

[0100] In a specific embodiment, the smart window of the present invention can be automatically controlled. If it rains, the smart window can be controlled according to the rainfall, rainfall intensity, wind speed and wind direction. The corresponding reference rainfall, reference rainfall intensity and reference wind speed are obtained according to the wind direction angle, which provides strong data support and scientific basis for subsequent data analysis, and avoids the situation where people slip and get injured due to the wet floor caused by falling rain. On the other hand, the indoor window opening index of the smart window is analyzed based on the indoor carbon dioxide concentration, air flow rate and indoor space volume, which not only improves the timeliness of window opening, but also allows the indoor air to circulate in time.

[0101] The smart home door and window control system avoids the limitation of traditional systems that only collect single environment data by collecting indoor and outdoor environmental parameters at the same time, realizes real-time comparison of indoor and outdoor environmental data, ensures that the smart home door and window control system can respond to environmental changes in a timely manner, and combines the weather data of the day and historical weather data to provide more comprehensive environmental information, thereby improving the control accuracy of smart windows and reducing energy consumption. The door and window intelligent 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, consider multiple environmental factors such as indoor and outdoor temperature difference and humidity difference, realize precise control of door and window opening and closing and avoid excessive adjustment of smart windows, adjust the opening and closing status of smart windows in real time, maintain the comfort of the indoor environment, reduce manual intervention, and improve the operation efficiency of the smart home door and window 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 in 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 door and window intelligent control module, and the door and window intelligent control module is connected to the environmental data acquisition module, the cloud data storage module and the weather data reading module respectively, wherein: The environmental data acquisition module is used to respectively acquire indoor environmental parameters and outdoor environmental parameters; The cloud data storage module is used to store the indoor environment parameters, the outdoor environment parameters and the window opening angle output by the door and window intelligent control module, and send the indoor environment parameters and the outdoor environment parameters to the door and window intelligent control module; The weather data reading module is used to read the weather data of the day and the historical weather data, and send the weather data of the day and the historical weather data to the door and window intelligent control module; The door and window intelligent control module is used to calculate the window opening angle required for the smart window according to the indoor environmental parameters, outdoor environmental parameters and the weather data of the day, and automatically control the opening and closing of the smart window based on the window opening angle.

2. An intelligent door and window control system as claimed in claim 1, characterized in that: The calculating the window opening angle required for the smart window according to the indoor environment parameters, the outdoor environment parameters and the weather data of the day specifically includes: Calculate the carbon dioxide concentration in the room where the smart window is located based on the population density influence coefficient, the population density, and the spatial volume of the room where the smart window is located in the indoor environment parameters, and compare the carbon dioxide concentration with a preset carbon dioxide concentration; If the carbon dioxide concentration is greater than the preset carbon dioxide concentration, the door and window intelligent control module obtains the window opening operation instruction, 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 according to the outdoor environmental parameters and the indoor environmental parameters; The door and window intelligent control module controls the intelligent window to open and close at the target window opening angle, and stores the actual window opening angle after the intelligent window performs the opening and closing operation in the cloud data storage module.

3. An intelligent door and window control system as claimed in claim 2, characterized in that: The expression of the carbon dioxide concentration is: in, represents the indoor carbon dioxide concentration at time t, η represents the basic carbon dioxide concentration, α represents the per capita carbon dioxide emission benchmark coefficient, M represents the population density influence coefficient, R represents the indoor air circulation coefficient, β represents the temperature correction coefficient, ρ represents the indoor population density, and V represents the spatial volume of the current room.

4. An intelligent door and window control system as claimed in claim 3, characterized in that: The expression of the ventilation volume of the smart window is: Among them, 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, η out represents the standard value of outdoor carbon dioxide concentration, A represents the actual window area of ​​the smart window, and A max represents the maximum window area of ​​the smart window, η tg represents the target indoor carbon dioxide concentration, η max represents the maximum allowable indoor carbon dioxide concentration, γ1 represents the weight of the first environmental factor, γ2 represents the weight of the second environmental factor, γ3 represents the weight of the third environmental factor, P represents the indoor and outdoor pressure difference, μ represents the height correction coefficient, h represents the actual floor height of the current room, and h ref represents the reference floor height, λ represents the pressure difference influence coefficient, and θ represents the target window opening angle of the smart window.

5. The intelligent door and window control system according to 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 areas to obtain a plurality of detection 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.

6. An intelligent door and window control system as claimed in claim 5, characterized in that: The monitoring area division module is also used to obtain the light intensity of each monitoring sub-interval, and obtain the curtain-drawing coefficient of the smart curtain matching the smart window according to the target light intensity range corresponding to various smart curtain materials stored in the cloud data storage module, and adjust the curtain-drawing area according to the curtain-drawing coefficient corresponding to the smart curtain.

7. An intelligent door and window control system as claimed in claim 6, characterized in that: Also includes: Matching the curtain-pulling coefficient corresponding to the smart curtain with the curtain-pulling area corresponding to each curtain-pulling coefficient in the cloud data storage module to obtain the curtain-pulling area corresponding to the smart curtain; The area with the maximum brightness in the monitoring sub-interval is marked as the curtain-drawing area, and the smart curtain is adjusted according to the curtain-drawing area corresponding to the smart curtain.

8. The intelligent door and window control system according to claim 6, characterized in that: After the curtain-drawing area is adjusted according to the curtain-drawing coefficient corresponding to the smart curtain, the method further includes: 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 within the light intensity range. 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, it is determined that the parameter type that needs to be adjusted is the 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, the temperature excess value exceeding the temperature range is calculated, and the parameter types that need to be adjusted are determined to be light intensity and temperature, and the curtain area is adjusted based on the difference between the current light intensity and the boundary of the light intensity range and the temperature excess value.

9. The intelligent door and window control system according to claim 1, characterized in that: The indoor environmental parameters include indoor carbon dioxide concentration, human 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.

10. The intelligent door and window control system according to claim 9, characterized in that: The outdoor environmental parameters are collected by external environmental parameter collection equipment, and the external environmental parameter collection equipment includes an ultrasonic anemometer, an outdoor temperature sensor, and an outdoor pressure sensor. The indoor environmental parameters are collected by internal environmental parameter collection equipment, and the internal environmental parameter collection equipment 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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