Indoor decoration method and system, electronic equipment and storage medium

Abstract

The invention discloses an indoor decoration method and system, electronic equipment and a storage medium, and relates to the field of building decoration. The method comprises the steps that house data, wind pressure data and hot pressure data of a house to be decorated are obtained, wall materials and ground materials of different functional areas are determined according to the house data, the opening size and the opening mode of a window are determined according to the house data, the wind pressure data and the hot pressure data, and the position of an air conditioner air outlet is determined according to the house data; determining a target position for installing a target sensor in the target functional area according to the demand of the target functional area; accessing the controlled unit to the control unit, and adjusting the operation mode of the controlled unit by using a preset algorithm according to the data of the target sensor; and obtaining the energy consumption data every preset time, and adjusting the preset algorithm according to the energy consumption data. According to the technical scheme, on the premise that the decoration attractiveness is guaranteed, energy consumption of the indoor environment is effectively reduced.

Description

Technical Field

[0001] The present application relates to the technical field of building decoration, and in particular to a method, system, electronic equipment and storage medium for interior decoration. Background Art

[0002] With the continuous development of the interior decoration industry, people's requirements for the aesthetics and comfort of the indoor environment are increasing. However, with the increasing global energy shortage and environmental problems, how to achieve energy conservation and emission reduction while meeting aesthetics and comfort has become an important challenge facing the field of interior decoration design.

[0003] The energy-saving effect of existing interior decoration technology solutions is not ideal, and it cannot meet the dual needs of modern interior decoration for beauty and energy saving. This is mainly reflected in the following aspects: first, there is a lack of systematic energy-saving design, which cannot reduce energy consumption as a whole; second, the effect of existing energy-saving means is limited, and it is difficult to achieve significant energy saving while ensuring the decorative effect; third, the inherent connection between decorative materials and energy consumption is ignored, and the energy-saving potential of materials is not fully utilized.

[0004] Therefore, there is an urgent need for a method of interior decoration that can effectively reduce the energy consumption of the indoor environment and achieve the goal of energy saving while ensuring the aesthetics of the decoration. Summary of the invention

[0005] The present application provides a method, system, electronic device and storage medium for interior decoration, which can effectively reduce the energy consumption of the indoor environment while ensuring the aesthetics of the decoration.

[0006] In a first aspect of the present application, a method for interior decoration is provided, which is applied to an interior decoration platform, and the method comprises: Acquire house data, wind pressure data, and thermal pressure data of the house to be decorated, determine the wall materials and floor materials of different functional areas according to the house data, determine the window opening size and opening method according to the house data, and determine the position of the air-conditioning outlet according to the house data, wherein the house data includes the area of ​​different functional areas, the position and size of doors and windows, the orientation of the house, the height of the house, and the floor height; Determine the target position for installing the target sensor in the target functional area according to the requirements of the target functional area, the target functional area is any one of the different functional areas, and the target sensor includes a light intensity sensor, a temperature sensor, a noise sensor, and an air quality sensor; Connecting the controlled unit to the control unit, and adjusting the operation mode of the controlled unit using a preset algorithm according to the data of the target sensor, the controlled unit including a lighting unit, an air conditioning unit, a window unit, a curtain unit and a water heater unit; Energy consumption data is acquired at preset time intervals, and the preset algorithm is adjusted according to the energy consumption data.

[0007] By adopting the above technical solution, detailed data of the house to be decorated (such as area, door and window positions, house orientation, etc.) can be obtained, and wall materials, floor materials and window opening sizes can be customized according to the specific needs of different functional areas (such as living rooms, bedrooms, kitchens, etc.), thereby creating an indoor environment that is both beautiful and practical. Installing target sensors (such as light intensity, temperature, noise, and air quality sensors) and adjusting the operating mode of the controlled units (such as lighting, air conditioning, windows, curtains, water heaters, etc.) accordingly can significantly improve the comfort and livability of the indoor environment. By comprehensively considering the wind pressure and heat pressure data of the house, determining the size and opening method of the window opening can help optimize indoor ventilation and reduce the energy consumption of equipment such as air conditioners. Obtaining energy consumption data at preset intervals and adjusting the preset algorithm based on these data can continuously optimize energy use efficiency and achieve the goal of energy saving and consumption reduction. The controlled unit is connected to the control unit to realize intelligent management. Users can remotely monitor and control the indoor environment through mobile phone APP or other smart devices, which improves the convenience of life. The preset algorithm can automatically adjust the operating mode of the controlled unit according to the real-time data of the sensor without manual intervention by the user, greatly improving the intelligence level of the indoor environment. Real-time monitoring of indoor air quality through air quality sensors and adjustment of the operation of air purifiers, fresh air systems and other equipment based on data can help protect the health of residents. The selection of environmentally friendly wall and floor materials, as well as reasonable indoor layout and ventilation design, can help reduce the generation and accumulation of indoor pollutants and promote the sustainable development of the indoor environment. Combining advanced technical means and data analysis, various factors can be fully considered in the design stage, thereby reducing modifications and adjustments during the construction process and improving decoration efficiency. Through intelligent management, unnecessary energy waste and equipment loss can be reduced, thereby reducing long-term operating costs.

[0008] Optionally, determining the window opening size and opening method according to the house data, wind pressure data and thermal pressure data includes: Determine the first opening method of the window according to the characteristics and safety characteristics of the target functional area; The basic ventilation volume is determined according to the area, wind speed, personnel density and activity intensity coefficient of the target functional area, and the basic ventilation volume is corrected according to the thermal pressure data to obtain the ventilation volume. The first opening size of the window is determined according to the ventilation volume, the wind pressure data and the first opening method. The wind pressure data includes wind speed, wind direction and wind pressure coefficient, and the thermal pressure data includes indoor and outdoor temperature difference and heat conductivity coefficient.

[0009] By adopting the above technical solution, the first opening mode of the window is determined by considering the characteristics and safety characteristics of the target functional area, ensuring that the window design not only meets the use requirements but also ensures the safety of the residents. For example, for children's rooms or high-rise residential buildings, it may be necessary to select a window opening mode that limits the opening angle or sets a safety lock. The basic ventilation volume is determined according to the area, wind speed, population density and activity intensity coefficient of the target functional area. This step takes into account multiple factors, making the calculation of the ventilation volume more accurate. At the same time, the basic ventilation volume is corrected by thermal pressure data, which further improves the accuracy of ventilation control. This precise control helps maintain indoor air quality, reduce pollutant accumulation, and avoid energy waste caused by excessive ventilation. When determining the size of the window opening, wind pressure data (including wind speed, wind direction and wind pressure coefficient) and thermal pressure data (including indoor and outdoor temperature difference and heat transfer coefficient) are comprehensively considered. This comprehensive utilization helps to maximize the potential of natural ventilation, reduce the energy consumption of equipment such as air conditioners, and improve the comfort of the indoor environment. By accurately controlling the size and opening mode of the window opening, the comfort of the indoor environment can be maintained, the impact of noise and pollutants can be reduced, and the satisfaction and happiness of the residents can be improved. By optimizing the size and opening method of windows, natural ventilation can be fully utilized and the energy consumption of air conditioners and other equipment can be reduced, thus achieving the goals of energy saving and environmental protection. This is of great significance to promoting green buildings and sustainable development.

[0010] Optionally, determining the window opening size and opening method according to the house data, wind pressure data and thermal pressure data includes: Determining whether the first opening mode of the window of the target functional area is consistent with the second opening mode of the window in the house data; When the first opening mode is consistent with the second opening mode, determining whether a difference between the first opening size of the window and the second opening size of the window in the house data is within a preset range; When the difference between the first opening size and the second opening size is within the preset range, the original design of the window is retained; otherwise, the window is constructed according to the first opening method and the first opening size.

[0011] By adopting the above technical solution, if the opening size and opening method of the window meet the design requirements, the original design can be directly retained without additional construction adjustments. This helps to improve construction efficiency and reduce unnecessary material waste and labor costs. When the opening size or opening method of the window does not meet the design requirements, the window is constructed according to the first opening method and the first opening size. This step reflects the flexibility and adaptability of the design, and can be adjusted according to actual conditions to meet specific functional requirements and comfort requirements. By accurately controlling the opening size and opening method of the window, the indoor ventilation effect can be optimized and the comfort and satisfaction of the residents can be improved. This is of great significance to improving the overall quality of the building and the user experience. By optimizing the design and construction of windows, unnecessary energy consumption and emissions can be reduced, which is in line with the concept of sustainable development. At the same time, reasonable ventilation design also helps to reduce the accumulation of indoor pollutants and improve indoor air quality, thereby protecting the health of residents.

[0012] Optionally, determining the position of the air outlet of the air conditioner according to the house data includes: A three-dimensional model of the house to be decorated is constructed according to the house data, and air flow conditions at different air outlet positions and wind speeds in the target functional area are simulated separately using computational fluid dynamics to determine a preliminary air outlet position; Computational fluid dynamics is used to simulate the air flow of the house to be decorated as a whole to adjust the preliminary position to determine the position of the air outlet of the air conditioner.

[0013] By adopting the above technical solution, building a three-dimensional model of the house to be decorated, and using computational fluid dynamics for simulation, the air flow conditions under different air outlet positions and wind speeds can be accurately predicted. This accurate prediction helps to determine the preliminary position of the air outlet, thereby optimizing the indoor air flow distribution and improving the efficiency and comfort of the air conditioning system. The process takes into account both the local air flow conditions of the target functional areas (such as bedrooms, living rooms, etc.) and the overall air flow conditions of the entire house to be decorated. This combination of overall and local methods helps to ensure that the optimization of the air outlet position not only meets local needs, but also meets the requirements of overall air flow distribution. By optimizing the air outlet position, the air conditioning system can be ensured to operate at a higher efficiency. Reasonable air outlet position can reduce energy consumption, improve cooling or heating effects, and reduce unnecessary noise and air flow disturbances. The optimized air outlet position can ensure uniform indoor air flow distribution and avoid local overheating or overcooling. This helps to improve the comfort of residents and reduce health problems caused by uneven airflow. Through computational fluid dynamics simulation, the air outlet position can be determined in the design stage, reducing adjustments and modifications during construction. This helps to reduce design and construction costs and improve the overall economy of the project. Using computational fluid dynamics simulation, designers can try different outlet locations and wind speed settings to find the best design solution. This flexibility helps meet the personalized needs of different customers and improves the diversity and innovation of design. By optimizing the design and operation of air conditioning systems, energy consumption and emissions can be reduced, which is in line with the concept of green buildings. This helps promote the sustainable development of the construction industry and reduce the impact on the environment.

[0014] Optionally, adjusting the operation mode of the controlled unit by using a preset algorithm according to the data of the target sensor includes: Determine whether there is someone in the room according to the data of the target sensor; When no one is in the room, if the current time is not a preset time, the energy-consuming equipment is turned off to enter the energy-saving mode, and if the current time is a preset time, the air-conditioning unit is turned on to maintain the indoor temperature at a preset temperature, and the energy-consuming equipment includes a lighting unit, an air-conditioning unit and a water heater unit; When there is someone in the room, the operation mode of the controlled unit in the corresponding area is adjusted according to the current position of the person and the current time.

[0015] By adopting the above technical solution, when no one is indoors, the system can intelligently turn off energy-consuming devices (such as lighting units, air conditioning units, water heater units, etc.), thereby effectively reducing unnecessary energy consumption. This not only reduces the user's electricity bills, but also reduces carbon emissions, which has positive significance for environmental protection. The system can intelligently adjust the operation mode of the controlled units in the corresponding area according to whether there are people in the room and the current location of the person. For example, when there are people in the room, the system can turn on or adjust lighting, air conditioning and other equipment according to the location of the person and the current time to provide the best comfort and convenience. The system allows users to set parameters such as preset time and preset temperature so that the equipment can be automatically turned on or off at a specific time. This personalized setting meets the needs of different users and improves the flexibility and practicality of the system. By intelligently controlling the switch and operating status of the equipment, the system can reduce excessive use and wear of the equipment, thereby extending the life of the equipment. This not only reduces the user's maintenance costs, but also improves the reliability and stability of the equipment. The system can monitor whether there are people in the room in real time and automatically turn off the equipment when no one is there, which helps prevent safety hazards caused by long-term operation of the equipment. At the same time, users can remotely control the equipment at home through mobile phones or other smart devices, which improves the convenience of life. This process is an important part of the smart home system, which shows how the smart home system can achieve intelligent control and optimization of devices through sensor data and algorithms. With the continuous development of smart home technology, this intelligent control mode will become more and more popular, bringing more convenience and comfort to people's lives.

[0016] Optionally, the operation mode of the controlled unit for adjusting the corresponding area according to the current position of the person and the current time includes: Determine the bathing time period according to historical data, and when the person is in the living room, determine whether the current time is a preset time before the bathing time period; When the current moment is the preset time before the bathing time period, the water heater is turned on and the curtains are closed, the light brightness is adjusted according to the current indoor light intensity, and the air conditioner is kept on to keep the indoor temperature at the preset temperature.

[0017] By adopting the above technical solution, the system can determine the bathing time period based on historical data and automatically turn on the water heater at the preset time before the time period. In this way, when the user is ready to take a bath, the water heater has been preheated and there is no need to wait, thereby improving the user's comfort and convenience. At the preset time before the bathing time period, the system will also automatically close the curtains and adjust the light brightness according to the current indoor light intensity. These operations not only help to create a more comfortable indoor environment, but also reduce energy consumption to a certain extent and achieve energy saving effects. The system can keep the air conditioner on to maintain the indoor temperature at the preset temperature. In this way, no matter how the outside temperature changes, users can enjoy a constant temperature indoor environment, which improves the comfort of living. This strategy fully considers the habits and needs of users, learns the user's bathing time through historical data, and intelligently adjusts the device status according to the current time and location. This combination of personalization and intelligence makes the smart home system closer to the user's life and improves the user experience. Through intelligent control strategies, the system can provide users with a more comfortable, convenient and energy-saving living environment. This intelligent lifestyle not only improves the quality of life of users, but also reflects the positive impact of technology on life.

[0018] Optionally, the adjusting the preset algorithm according to the energy consumption data includes: Determine energy consumption characteristics of different functional areas according to the energy consumption data, and determine usage patterns of different functional areas according to the energy consumption characteristics; According to the energy consumption data and the usage mode, the parameters of the preset algorithm are adjusted, and the parameters include the conditions for triggering the air conditioner to turn on, the indoor temperature that the air conditioner needs to maintain, and the working mode of the air conditioner.

[0019] By adopting the above technical solution, by analyzing the energy consumption data of different functional areas, the system can identify high-energy consumption areas and low-energy consumption areas, as well as their usage patterns in different time periods. This helps the system to more accurately predict and plan energy consumption needs, thereby optimizing the operation strategy of the air-conditioning system, reducing unnecessary energy consumption, and achieving energy-saving effects. The system can adjust the trigger conditions, indoor temperature to be maintained, and working mode of the air conditioner according to the energy consumption characteristics and usage patterns. This adjustment can ensure that the air-conditioning system provides a suitable temperature environment when the user needs it most, while avoiding excessive cooling or heating, thereby improving indoor comfort and user satisfaction. This strategy embodies the intelligence and adaptive capabilities of the smart home system. The system can continuously learn the user's energy consumption habits and usage patterns, and automatically adjust the parameters of the preset algorithm based on these learning results. This adaptive capability enables the system to better meet the personalized needs of users and improve the practicality and flexibility of the system. By optimizing the operation strategy of the air-conditioning system, the system can reduce the frequent start-up and stop of air-conditioning equipment, thereby reducing the wear and failure rate of the equipment. This helps to extend the service life of air-conditioning equipment and reduce the maintenance and replacement costs of users. This strategy helps to reduce energy consumption and carbon emissions and promote sustainable development by optimizing energy consumption and improving energy utilization efficiency. This is of great significance for promoting green buildings and low-carbon life.

[0020] In a second aspect of the present application, a system for interior decoration is provided, including a collection module, a position module, an algorithm module and an adjustment module, wherein: A collection module, configured to obtain house data, wind pressure data and thermal pressure data of the house to be decorated, determine the wall materials and floor materials of different functional areas according to the house data, determine the opening size and opening method of the window according to the house data, wind pressure data and thermal pressure data, and determine the position of the air outlet of the air conditioner according to the house data, wherein the house data includes the area of ​​different functional areas, the position and size of doors and windows, the orientation of the house, the height of the house and the floor height; A position module is configured to determine a target position for installing a target sensor in a target functional area according to a requirement of the target functional area, wherein the target functional area is any one of the different functional areas, and the target sensor includes a light intensity sensor, a temperature sensor, a noise sensor, and an air quality sensor; an algorithm module configured to connect a controlled unit to a control unit, and to adjust an operation mode of the controlled unit using a preset algorithm according to data of the target sensor, wherein the controlled unit includes a lighting unit, an air conditioning unit, a window unit, a curtain unit, and a water heater unit; The adjustment module is configured to obtain energy consumption data at preset time intervals and adjust the preset algorithm according to the energy consumption data.

[0021] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes any one of the methods described above.

[0022] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the methods described above is executed.

[0023] In summary, one or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. It can customize the wall materials, floor materials, window opening size and opening method, and air conditioning outlet position of different functional areas according to the specific data of the house to be decorated (such as area, door and window positions, house orientation, etc.). This personalized and customized design makes the indoor environment more in line with the needs and preferences of users; 2. By installing target sensors (such as light intensity sensors, temperature sensors, noise sensors, and air quality sensors) in target functional areas, the system can monitor indoor environmental conditions in real time. Based on these sensor data, the system can intelligently adjust the operating mode of the controlled units (such as lighting, air conditioning, windows, curtains, and water heaters) to maintain the comfort and stability of the indoor environment; 3. By acquiring energy consumption data at preset intervals and adjusting the preset algorithm based on these data, the indoor environment control system is continuously optimized. This optimization can reduce unnecessary energy consumption, improve energy efficiency, and thus save energy costs for users; 4. By real-time monitoring of indoor air quality, temperature, noise and other environmental factors, the system can promptly detect and solve potential health problems. For example, when the indoor air quality is poor, the system can automatically turn on the air purifier or adjust the size of the window opening to improve the air quality. This intelligent environmental control helps improve the health and comfort of users; 5. The interior decoration platform is convenient and scalable. Users can easily view and manage indoor environment data and control the operating status of the controlled units through the platform. At the same time, the platform also supports adding new sensors and controlled units to adapt to new indoor environment requirements that may arise in the future; 6. By improving energy efficiency and improving indoor environmental quality, this method helps reduce energy consumption and environmental pollution, thereby promoting sustainable development. This is of great significance for building a green, low-carbon and sustainable indoor environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of the interior decoration method disclosed in the embodiment of the present application; Figure 2 It is a module schematic diagram of the interior decoration system disclosed in the embodiment of the present application; Figure 3 It is a structural schematic diagram of an electronic device disclosed in an embodiment of the present application.

[0025] Explanation of the reference numerals: 201, acquisition module; 202, location module; 203, algorithm module; 204, adjustment module; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. DETAILED DESCRIPTION

[0026] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0027] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0028] In the description of the embodiments of the present application, the meaning of the term "multiple" refers to two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0029] This embodiment discloses a method for interior decoration, which is applied to an interior decoration platform. Figure 1 is a flow chart of the interior decoration method disclosed in the embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps: S110, obtaining house data, wind pressure data, and thermal pressure data of the house to be decorated, determining wall materials and floor materials of different functional areas according to the house data, determining window opening sizes and opening methods according to the house data, wind pressure data, and thermal pressure data, and determining the positions of air-conditioning outlets according to the house data, wherein the house data includes areas of different functional areas, positions and sizes of doors and windows, orientation of the house, height of the house, and floor height; According to the area of ​​different functional areas, the location and size of doors and windows, and the orientation of the house in the house data, choose appropriate materials to meet the aesthetic and functional requirements. For example, the living room and bedroom may require materials with good sound insulation and thermal insulation performance, such as gypsum board or thermal insulation wallpaper. The kitchen and bathroom need to choose waterproof and easy-to-clean materials, such as tiles or waterproof coatings. The window design needs to consider wind pressure data and thermal pressure data to ensure the wind pressure resistance and watertightness of the window. The size of the window opening should be determined according to the thermal and ventilation requirements of the room. For example, the bedroom may require a smaller opening to keep quiet and safe, while the kitchen may require a larger opening to ensure good ventilation. The opening method should consider convenience and safety. For example, high-rise buildings may tend to use sliding windows or inward-opening and tilting windows to avoid the safety hazards caused by outward-opening windows. The location of the air-conditioning outlet should be determined according to the house orientation and floor height in the house data to optimize air flow and temperature distribution. For example, if the room faces south, the air outlet should avoid being directly opposite the bed to prevent the cold wind from blowing directly on the human body. Rooms with high floor heights may require multiple air outlets or use ceiling air conditioners to ensure that the cold air can sink effectively. When choosing materials and designs, you also need to consider the height and floor height of the house, as well as the frequency and duration of use of different functional areas. High-rise buildings may need to consider the impact of wind pressure on windows and exterior walls more, and spaces with higher floor heights may require larger window openings to maintain a comfortable indoor environment. Choosing energy-saving materials and designs, such as windows with low-e glass, and wall and floor materials with good thermal insulation properties, can reduce energy consumption and improve living comfort.

[0030] Optionally, determining the window opening size and opening method according to the house data, wind pressure data and thermal pressure data includes: Determine the first opening method of the window according to the characteristics and safety characteristics of the target functional area; The basic ventilation volume is determined according to the area, wind speed, personnel density and activity intensity coefficient of the target functional area, and the basic ventilation volume is corrected according to the thermal pressure data to obtain the ventilation volume. The first opening size of the window is determined according to the ventilation volume, the wind pressure data and the first opening method. The wind pressure data includes wind speed, wind direction and wind pressure coefficient, and the thermal pressure data includes indoor and outdoor temperature difference and heat conductivity coefficient.

[0031] Different types of rooms (such as bedrooms, living rooms, kitchens, bathrooms, etc.) have different requirements for window opening methods. For example, a bedroom may require a quieter opening method (such as an inward-opening casement window), while a kitchen may require an opening method that is easy to clean (such as a sliding window). The window opening method also needs to consider safety factors. For high-rise residential buildings, outward-opening windows may pose a safety hazard due to strong winds, so inward-opening windows or sliding windows are more likely to be chosen. Based on the area, wind speed, occupant density, and activity intensity coefficient of the target functional area, the basic ventilation volume required for the room can be calculated. This helps to ensure indoor air quality and reduce odor and humidity. Area factor: The larger the area of ​​the room, the greater the ventilation volume required to ensure that the air can circulate adequately. Wind speed factor: Wind speed affects the flow speed and distribution of air in the room. Generally speaking, ventilation is best when the wind speed is moderate. Too fast wind speed may cause uneven air flow, while too slow wind speed may affect ventilation efficiency. Occupant density factor: The greater the occupant density in the room, the more carbon dioxide and other pollutants are generated, so a larger ventilation volume is required to maintain air quality. Activity intensity coefficient: The activity intensity of people in the room will also affect the ventilation demand. For example, in the activity area of ​​the living room, people will consume more oxygen and generate more heat and moisture, so the ventilation volume needs to be increased to maintain a comfortable environment. By comprehensively considering the above factors, the basic ventilation volume required for the room can be calculated. This calculation process may require the help of professional ventilation design software or formulas. After the basic ventilation volume is determined, it needs to be corrected according to the thermal pressure data. The thermal pressure effect is the air flow phenomenon caused by the temperature difference between indoor and outdoor. When the temperature difference between indoor and outdoor is large, the thermal pressure effect can be used to enhance the ventilation effect. Indoor and outdoor temperature difference: The greater the temperature difference, the more obvious the thermal pressure effect. In summer, when the indoor temperature is higher than the outdoor temperature, the thermal pressure effect can be used to discharge the indoor hot air by opening ventilation facilities such as windows; in winter, the cold air penetration caused by the thermal pressure effect can be reduced by insulation measures such as closing windows. Thermal conductivity coefficient: The thermal conductivity coefficient reflects the ability of a material to transfer heat. In buildings, the thermal conductivity coefficient of components such as walls and windows will affect the temperature distribution and ventilation effect in the room. Therefore, when selecting building materials and designing ventilation systems, the influence of thermal conductivity coefficient needs to be fully considered. By comprehensively considering factors such as the temperature difference between indoor and outdoor and the heat transfer coefficient, the basic ventilation volume can be corrected to obtain a ventilation volume requirement that is more in line with the actual situation. After determining the ventilation volume and the first opening method, the window opening size can be calculated based on the wind pressure data. The wind pressure data includes parameters such as wind speed, wind direction and wind pressure coefficient. Wind speed and wind direction: Wind speed and wind direction determine the direct effect of wind on the window opening. In strong winds, an overly large window opening may cause excessive indoor wind pressure, causing discomfort or damage to components such as windows. Therefore, when determining the size of the window opening, it is necessary to fully consider the effects of wind speed and wind direction. Wind pressure coefficient: The wind pressure coefficient reflects the effect of wind on the pressure at the window opening.Window openings of different shapes and sizes correspond to different wind pressure coefficients. When designing windows, the wind pressure coefficient can be changed by adjusting the shape and size of the window to optimize the ventilation effect. By comprehensively considering factors such as wind speed, wind direction and wind pressure coefficient, the window opening size that meets the ventilation volume demand and safety requirements can be calculated. This calculation process may also require the use of professional ventilation design software or formulas to complete. By comprehensively considering these factors, the opening size that can ensure ventilation while avoiding damage to the window caused by excessive wind pressure can be calculated. When determining the size of the window opening and how to open it, other factors need to be considered, such as the material, weight, installation method and maintenance cost of the window. These factors may affect the final design of the window. In addition, for some special functional areas (such as children's rooms, elderly rooms, etc.), the protection function of the window needs to be considered, such as installing a protective net or limiter.

[0032] By determining the first opening mode of the window according to the characteristics and safety characteristics of the target functional area, it can be ensured that the window opening mode meets both functional requirements and ensures safety. At the same time, the basic ventilation volume determined based on the area, wind speed, population density and activity intensity coefficient, and corrected by the thermal pressure data, can ensure that the room obtains an appropriate amount of fresh air, effectively removes the dirty air, odor and moisture in the room, thereby improving the overall comfort of the indoor environment. Using thermal pressure data (including indoor and outdoor temperature difference and thermal conductivity coefficient) to correct the basic ventilation volume can make full use of the potential of natural ventilation, reduce the frequency and duration of use of the air conditioning system, and thus reduce the energy consumption of the building. This intelligent ventilation design based on environmental data helps to improve energy efficiency, reduce carbon emissions, and promote sustainable development. When determining the size of the window opening, the wind pressure data (including wind speed, wind direction and wind pressure coefficient) is comprehensively considered, which helps to avoid damage to the window due to excessive opening in strong wind weather and improve the safety of the building. At the same time, a reasonable opening size design can also reduce the invasion of wind and rain into the room and extend the service life of the building.

[0033] Optionally, determining the window opening size and opening method according to the house data, wind pressure data and thermal pressure data includes: Determining whether the first opening mode of the window of the target functional area is consistent with the second opening mode of the window in the house data; When the first opening mode is consistent with the second opening mode, determining whether a difference between the first opening size of the window and the second opening size of the window in the house data is within a preset range; When the difference between the first opening size and the second opening size is within the preset range, the original design of the window is retained; otherwise, the window is constructed according to the first opening method and the first opening size.

[0034] The second opening of the window in the house data refers to the opening of the original design or existing window of the house. It may be based on building regulations, safety requirements, or previous design decisions. Compare the first opening of the target functional area with the second opening in the house data to determine whether they are consistent. The second opening size of the window in the house data refers to the opening size of the original design or existing window of the house. Calculate the difference between the first opening size and the second opening size, and determine whether the difference is within a preset range. The preset range may be based on energy saving and cost considerations. If the first opening is consistent with the second opening, and the difference between the first opening size and the second opening size is within the preset range, then the original design of the window can be considered reasonable and no modification is required. If the first opening is inconsistent with the second opening, or the difference between the first opening size and the second opening size exceeds the preset range, then the window needs to be constructed according to the new first opening and first opening size. This may involve replacement, modification, or reinstallation of the window.

[0035] By judging whether the first opening mode of the window in the target functional area is consistent with the second opening mode of the window in the house data (original design or building code requirements), it can be ensured that the window opening mode meets both functional requirements and building codes and safety requirements. When the first opening mode is consistent with the second opening mode, it is further judged whether the difference between the first opening size of the window and the second opening size of the window in the house data is within the preset range. This step can ensure that the window opening size can meet the ventilation requirements without affecting the comfort and safety of the indoor environment due to being too large or too small. Through the comparison and decision-making process, the final design of the window (i.e., the opening mode and opening size) can be clarified, thereby avoiding waste and delays caused by design changes during the construction process. At the same time, construction according to a clear design can improve construction efficiency and accuracy and ensure the construction quality of the window. The entire process comprehensively considers multiple factors such as house data, wind pressure data, and thermal pressure data to ensure that the window design can meet functional requirements and achieve energy saving and comfort. Through reasonable window design, natural ventilation and lighting can be effectively utilized, and the use of air conditioning and lighting can be reduced, thereby reducing energy consumption and operating costs. By optimizing window design, the building's dependence on and negative impact on the external environment can be reduced, thereby enhancing the building's sustainability and environmental friendliness. This helps promote the implementation of green buildings and sustainable development concepts, and promotes the harmonious coexistence of man and nature.

[0036] Optionally, determining the position of the air outlet of the air conditioner according to the house data includes: A three-dimensional model of the house to be decorated is constructed according to the house data, and air flow conditions at different air outlet positions and wind speeds in the target functional area are simulated separately using computational fluid dynamics to determine a preliminary air outlet position; Computational fluid dynamics is used to simulate the air flow of the house to be decorated as a whole to adjust the preliminary position to determine the position of the air outlet of the air conditioner.

[0037] According to the house data (such as room size, structure, door and window positions, etc.), use professional architectural design software or CFD (computational fluid dynamics) pre-processing software to build a three-dimensional model of the house to be decorated. This model needs to reflect the actual structure and internal space layout of the house as accurately as possible for subsequent simulation analysis. After the three-dimensional model is built, the next step is to perform separate air flow simulations for the target functional areas (such as bedrooms, living rooms, etc.). The purpose of this step is to determine the air flow in the target functional area under different outlet positions and wind speeds. According to the layout of the target functional area and the design requirements of the air conditioning system, multiple possible outlet positions are preset. According to the performance parameters of the air conditioning system and the indoor environment requirements, different wind speed conditions are set. Use CFD software to simulate and analyze each preset outlet position and wind speed condition to observe the flow of air in the target functional area, including air flow velocity, air flow direction, temperature distribution, etc. Through this step, the location of the outlet can be preliminarily determined. These locations should ensure that the air is evenly distributed in the target functional area to avoid dead corners and excessive blowing. After the outlet position is preliminarily determined, the next step is to perform an overall air flow simulation. The purpose of this step is to consider the air flow of the entire house and adjust and optimize the initially determined air outlet position. In the 3D model, in addition to the target functional area, other rooms, corridors, stairs and other areas need to be included to simulate the air flow of the entire house. According to the actual situation of the house, set appropriate boundary conditions, such as outdoor wind speed, temperature, humidity, etc. Use CFD software to simulate and analyze the entire house to observe the flow of air throughout the house, especially focusing on the impact of the air outlet position on the air flow. Through this step, the initially determined air outlet position can be adjusted and optimized to ensure that the air flow of the entire house meets the design requirements while avoiding adverse effects on adjacent rooms or areas. Finally, based on the results of the overall simulation, determine the final air outlet position of the air conditioner. These positions should ensure that the air is evenly distributed throughout the house while meeting the ventilation and temperature control requirements of each functional area.

[0038] A three-dimensional model of the house to be decorated is constructed based on the house data, which provides an accurate basis for the subsequent fluid dynamics simulation. The three-dimensional model can truly reflect the internal structure and spatial layout of the house, and provides a reliable basis for the preliminary determination of the outlet position. Computational fluid dynamics is used to simulate the air flow conditions of different outlet positions and wind speeds in the target functional area separately. This process can accurately predict the impact of different outlet positions on air flow, thereby determining the preliminary position of the outlet. This simulation method avoids the limitations of traditional design based solely on experience and intuition, and improves the accuracy and scientificity of the design. After the outlet position is preliminarily determined, CFD is used to simulate the air flow conditions of the house to be decorated as a whole. This process can comprehensively consider the air flow conditions of the entire house and make necessary adjustments to the preliminary position to ensure the optimization of the outlet position. Through overall simulation, the air flow path can be further optimized, wind resistance and energy loss can be reduced, and the energy efficiency ratio of the air conditioning system can be improved. Through accurate CFD simulation and optimization, it can be ensured that the position of the air conditioning outlet can make the indoor air distribution more uniform. This helps to avoid the phenomenon of overcooling or overheating in local areas and improve the overall comfort of the indoor environment. Reasonable air outlet location design can also reduce the noise and vibration generated when the air conditioner is running. By avoiding the air outlet being too close to obstacles such as walls or creating unreasonable airflow paths, the noise level can be effectively reduced and the quality of the living or working environment can be improved. Through precise air outlet location design, the air conditioning system can operate more efficiently. Reasonable air outlet layout can reduce unnecessary energy loss, improve energy efficiency, and thus reduce the operating cost of the air conditioning system. The optimized air conditioning system not only improves the energy efficiency, but also helps to reduce carbon emissions and environmental pollution. This is in line with the current concept of green building and sustainable development, and helps to promote energy conservation and emission reduction in the construction industry.

[0039] S120, determining a target position for installing a target sensor in the target functional area according to the needs of the target functional area, the target functional area being any one of the different functional areas, and the target sensor comprising a light intensity sensor, a temperature sensor, a noise sensor, and an air quality sensor; Target functional areas refer to areas with specific functions or uses in a building, such as bedrooms, living rooms, and study rooms. These areas have different needs and sensitivities to environmental factors such as light, temperature, noise, and air quality due to their different functions. Light intensity sensor: used to monitor indoor light intensity and help the control system automatically adjust curtains, lights, etc. to maintain a suitable lighting environment. Temperature sensor: used to measure indoor temperature, linked with the heating and cooling systems, and automatically adjust the indoor temperature to a comfortable range. Noise sensor: monitors indoor noise levels, helps control sound pollution, and protects people's hearing and work and study efficiency. Air quality sensor: detects pollutants (such as PM2.5, formaldehyde, TVOC, etc.) and oxygen content in indoor air, and links with the air purification system to improve indoor air quality. First, clarify the specific needs of the target functional area. For example, the bedroom requires a quiet and comfortable sleeping environment, so the location of the noise and temperature sensors should accurately reflect these conditions; while the study requires good light and air quality, so the location of the light intensity and air quality sensors should accurately monitor these parameters. According to the spatial layout of the target functional area, select a location that can represent the environmental conditions of the entire area to install the sensor. For example, in a bedroom, a temperature sensor should be installed near the head of the bed to reflect the actual temperature people feel when sleeping; in a study, a light intensity sensor should be installed near a window or above the desk area to monitor the intensity of natural light and artificial light sources. When installing sensors, avoid obstruction or interference from other objects. For example, temperature sensors should be kept away from heat sources (such as radiators, electrical appliances, etc.) to avoid distortion of measurement data; noise sensors should be installed away from noise sources (such as air conditioner outdoor units, elevator shafts, etc.) to ensure the accuracy of measurement results. The location of the sensor should be convenient for future maintenance and battery replacement. Therefore, consider reserving enough space during installation and avoid installing sensors in hard-to-reach places.

[0040] S130, connecting the controlled unit to the control unit, and adjusting the operation mode of the controlled unit using a preset algorithm according to the data of the target sensor, wherein the controlled unit includes a lighting unit, an air conditioning unit, a window unit, a curtain unit, and a water heater unit; Lighting unit: including LED lights, smart bulbs, etc., used to adjust indoor light intensity and color temperature to meet lighting needs at different times and in different scenarios. Air conditioning unit: including central air conditioning, split air conditioning, smart air conditioning, etc., used to adjust indoor temperature, humidity and air circulation to provide a comfortable indoor environment. Window unit: including smart windows, etc., used to control the opening and closing of windows. Curtain unit: usually used in conjunction with window units, through intelligent control to achieve automatic opening and closing and adjustment of curtains to adapt to light requirements in different time periods. Water heater unit: including electric water heaters, gas water heaters, solar water heaters, etc., used to provide hot water to meet daily life needs. The control unit is the "brain" of the smart home or smart building system, responsible for receiving data from the target sensor, analyzing and processing this data according to the preset algorithm, and then sending instructions to the controlled unit to adjust its operating mode. The control unit usually has the following functions: Data collection: Receive real-time data from target sensors (such as light intensity sensors, temperature sensors, noise sensors, air quality sensors, etc.).

[0041] Data analysis: Use preset algorithms to process and analyze sensor data to determine the difference between the current environmental conditions and the preset target values.

[0042] Decision making: Based on the analysis results, formulate strategies to adjust the operating mode of the controlled unit.

[0043] Instruction sending: Send instructions to the controlled unit to adjust its operating status to achieve environmental adaptation and energy-saving optimization.

[0044] The preset algorithm is the core of the control unit, which determines how to adjust the operating mode of the controlled unit according to the sensor data. The preset algorithm is usually based on the following principles: Environmental adaptability: Ensure that the indoor environment (such as light, temperature, humidity, air quality, etc.) remains within a comfortable and healthy range.

[0045] Energy-saving optimization: Under the premise of meeting environmental needs, minimize energy consumption and improve energy utilization efficiency.

[0046] User habits: Consider the user's daily habits and needs, such as work and rest time, activity patterns, etc., to make the control system more user-friendly.

[0047] The preset algorithms can be continuously optimized and adjusted through technologies such as machine learning and deep learning to adapt to the needs of different users and environments.

[0048] Connect the controlled units (such as lighting units, air conditioning units, etc.) to the control unit and ensure that the sensors can accurately collect environmental data. Configure the preset algorithm according to user needs and environmental characteristics, including setting thresholds for environmental parameters and formulating adjustment strategies. Before formal operation, debug and test the system to ensure that each controlled unit can correctly respond to sensor data according to the preset algorithm. During system operation, continuously monitor sensor data and control effects, and adjust and optimize the preset algorithm according to actual conditions. Collect user feedback, understand the problems and needs of the system in actual use, and provide a basis for subsequent improvements and optimizations.

[0049] Optionally, adjusting the operation mode of the controlled unit by using a preset algorithm according to the data of the target sensor includes: Determine whether there is someone in the room according to the data of the target sensor; When no one is in the room, if the current time is not a preset time, the energy-consuming equipment is turned off to enter the energy-saving mode, and if the current time is a preset time, the air-conditioning unit is turned on to maintain the indoor temperature at a preset temperature, and the energy-consuming equipment includes a lighting unit, an air-conditioning unit and a water heater unit; When there is someone in the room, the operation mode of the controlled unit in the corresponding area is adjusted according to the current position of the person and the current time.

[0050] Collect data from target sensors, which may include infrared human sensors, cameras (installed in non-privacy areas such as living rooms for face recognition or human detection), sound sensors (for detecting human voices or active sounds), etc. Use preset algorithms to process and analyze sensor data to determine whether there is anyone in the room. This usually involves threshold judgment, pattern recognition, or the application of machine learning algorithms to sensor data. When the system determines that there is no one in the room, it will further determine whether the current moment belongs to a preset moment (such as a specific time period set by the user, such as the first 10 minutes after getting home from work). If the current moment does not belong to the preset moment, the system will turn off energy-consuming devices (such as lighting units, air conditioning units, and water heater units) according to the preset strategy to enter energy-saving mode. This helps to reduce unnecessary energy consumption and improve energy efficiency. If the current moment belongs to the preset moment, the system will turn on the air conditioning unit and automatically adjust the indoor temperature according to the preset temperature to maintain the comfort of the indoor environment. When the system determines that there is someone in the room, it will further use sensor data (such as infrared human sensors, cameras, etc.) to determine the current location of the person and divide the space into different areas according to the indoor layout. The system will adjust the operating mode of the controlled units in the corresponding area according to the person's current location and the current time. For example, if a person is watching TV in the living room, the system may turn on the lighting unit and air conditioning unit in the living room, and adjust their operating parameters according to the preset comfort and energy-saving strategies; if a person is resting in the bedroom, the system may turn off the lighting unit and air conditioning unit in the living room, and adjust the curtains and air conditioning in the bedroom to provide a comfortable sleeping environment. The system can also be personalized according to the user's preferences and habits, such as automatically adjusting the operating mode of lighting and air conditioning according to the user's work and rest time, or intelligently recommending the best indoor environment configuration according to the user's activity type (such as reading, fitness, watching movies, etc.).

[0051] When there is no one in the room, if the current time is not the preset time when the user may return, the energy-consuming devices (such as lighting units, air conditioning units, and water heater units) will be automatically turned off to effectively avoid energy waste. For certain specific times, such as the time when the user usually goes home, even if there is no one in the room, the system will turn on the air conditioning unit according to the preset temperature to keep the indoor temperature at the preset temperature, which not only ensures the comfort of the user's return, but also avoids unnecessary energy consumption for a long time. When there is someone in the room, the system can intelligently adjust the controlled units (such as lighting, air conditioning, curtains, etc.) in the corresponding area according to the current location and current time of the person, providing users with a personalized comfortable environment. For example, when the user enters the bedroom to rest, the system will automatically dim the lights, adjust the air conditioning to a suitable temperature, and may close the curtains to create a better sleeping environment. Users do not need to manually operate multiple devices, and the system can automatically adjust according to the environment and user needs, greatly improving the convenience and intelligence of life. By intelligently judging whether there are people in the room and the activities of people, the system can avoid unnecessary operation of the equipment when no one is using it, thereby extending the service life of the equipment. The system can intelligently adjust the equipment operating parameters according to environmental conditions (such as temperature and humidity) and user needs, so that the equipment can operate under more suitable conditions, which also helps to extend the life of the equipment. Through intelligent control, the system can significantly reduce energy consumption and carbon emissions, which is in line with the concept of sustainable development. The system can intelligently allocate energy according to actual needs, improve energy utilization efficiency, and help promote the development of green buildings and smart homes.

[0052] Optionally, the operation mode of the controlled unit for adjusting the corresponding area according to the current position of the person and the current time includes: Determine the bathing time period according to historical data, and when the person is in the living room, determine whether the current time is a preset time before the bathing time period; When the current moment is the preset time before the bathing time period, the water heater is turned on and the curtains are closed, the light brightness is adjusted according to the current indoor light intensity, and the air conditioner is kept on to keep the indoor temperature at the preset temperature.

[0053] The core of the strategy is to intelligently adjust the operating status of related devices in the home environment based on the person's location (such as the living room) and the current moment, combined with the behavior patterns determined by historical data (such as the bathing time period), so as to meet the user's potential needs and improve the convenience of life. The system predicts the user's future behavior pattern by collecting and analyzing the user's historical behavior data, such as the bathing time period. This usually involves tracking and recording the user's daily activities, such as the statistics of the bathing, dining, resting and other time periods. The system determines the user's current location, such as the living room, through intelligent sensors (such as human body sensing sensors, mobile phone positioning, etc.). The system obtains the current time information in real time for comparison with historical data and behavior patterns. A certain time period before the bathing time period determined based on historical data is called the preset time. This time period is used to prepare the environmental conditions required for bathing in advance. The system determines the user's bathing time period based on historical data. This time period may vary depending on the user's living habits and schedule. The system detects whether the user is currently in the living room through intelligent sensors. The living room is usually regarded as the central area of ​​family activities and is also the place where the user may stay before preparing to take a bath. The system obtains the current time in real time and compares it with the preset time before the preset bathing time period. When the current moment is the preset time before the bathing time period, the system performs the following operations: turns on the water heater to ensure that the water temperature reaches the comfortable temperature preset by the user; closes the curtains to protect privacy and reduce the impact of external light on the indoor environment; adjusts the light brightness according to the current indoor light intensity to create a soft and comfortable lighting environment; keeps the air conditioner on and adjusts the indoor temperature according to the temperature value preset by the user to ensure that the user can enjoy a comfortable indoor environment before and after bathing.

[0054] By intelligently adjusting the status of home appliances, the system can create a more comfortable and convenient living environment for users. For example, turning on the water heater and adjusting the indoor environment in advance allows users to prepare for a bath without having to manually operate multiple devices. By intelligently controlling the operating time and status of home appliances, the system can reduce unnecessary energy consumption and achieve the goal of energy conservation and emission reduction. The implementation of this strategy requires the cooperation of smart home systems and smart sensors, which helps to improve the level of home intelligence and the user's technological experience. The system can be customized according to the user's personal preferences and habits, such as setting different bathing time periods and indoor temperatures, to meet the needs of different users.

[0055] S140. Acquire energy consumption data at preset time intervals, and adjust the preset algorithm according to the energy consumption data.

[0056] According to the system characteristics and user needs, set a reasonable preset time interval, such as daily, weekly or monthly. The setting of the preset time should take into account the frequency of data collection and the necessity of algorithm adjustment to ensure that the system can respond to environmental changes and changes in user behavior in a timely manner. When the preset time arrives, the system automatically collects the energy consumption data of each controlled unit (such as lighting, air conditioning, water heater, etc.). Data collection can be carried out through smart sensors, smart meters and other devices to ensure the accuracy and real-time nature of the data. Clean and preprocess the collected energy consumption data to remove outliers and noise. Use data analysis tools and methods (such as statistical analysis, data mining, etc.) to conduct in-depth analysis of energy consumption data and extract useful information and features. Adjust and optimize the preset algorithm based on the analysis results of the energy consumption data. The adjustments may include algorithm parameters, control strategies, optimization targets, etc. to improve the energy efficiency and adaptability of the system. During the adjustment process, advanced technologies such as machine learning and deep learning can be introduced to enable the algorithm to automatically learn and adapt to environmental changes.

[0057] Optionally, the adjusting the preset algorithm according to the energy consumption data includes: Determine energy consumption characteristics of different functional areas according to the energy consumption data, and determine usage patterns of different functional areas according to the energy consumption characteristics; According to the energy consumption data and the usage mode, the parameters of the preset algorithm are adjusted, and the parameters include the conditions for triggering the air conditioner to turn on, the indoor temperature that the air conditioner needs to maintain, and the working mode of the air conditioner.

[0058] Energy consumption data of different functional areas (such as bedrooms, living rooms, offices, etc.) are collected through smart meters, sensors and other devices, including power consumption, usage time, etc. Data analysis tools and methods are used to conduct in-depth analysis of energy consumption data of different functional areas to identify energy consumption characteristics of each area, such as peak hours, average energy consumption, etc. Combined with historical data and user feedback, the usage patterns of different functional areas are identified, such as bedrooms are mainly used at night, and living rooms have a high frequency of use during the day and at night. According to the usage pattern, the usage time periods of different functional areas are divided, such as the night rest period of the bedroom and the daytime activity period of the living room. According to the usage pattern and energy consumption characteristics of each functional area, the conditions for triggering the air conditioner to turn on are adjusted. For example, during the night rest period of the bedroom, a higher trigger temperature can be set to save energy. According to the user's demand for temperature comfort in different functional areas, the indoor temperature that the air conditioner needs to maintain is adjusted. For example, a higher temperature can be set in the bedroom to meet the needs of night rest; while a slightly lower temperature can be set in the living room to meet the needs of daytime activities. According to the energy consumption characteristics and usage pattern, the working mode of the air conditioner is adjusted. For example, during peak energy consumption periods, you can select energy-saving mode to reduce energy consumption; during periods of higher comfort demand, you can select smart mode to provide more personalized temperature control.

[0059] Through refined energy consumption management and control parameter adjustment, the system can use energy more efficiently and reduce unnecessary waste. It can make personalized adjustments based on the user's needs for temperature comfort in different functional areas, thereby improving user satisfaction and comfort. By reducing energy consumption and emissions, this strategy helps promote the development of green buildings and smart homes and promote the realization of sustainable development goals.

[0060] This embodiment also discloses a system for interior decoration. Figure 2 is a schematic diagram of a module of an interior decoration system disclosed in an embodiment of the present application, such as Figure 2 As shown, the system includes a collection module 201, a position module 202, an algorithm module 203 and an adjustment module 204, wherein: The acquisition module 201 is configured to obtain house data, wind pressure data, and thermal pressure data of the house to be decorated, determine the wall materials and floor materials of different functional areas according to the house data, determine the opening size and opening method of the window according to the house data, wind pressure data, and thermal pressure data, and determine the position of the air outlet of the air conditioner according to the house data, wherein the house data includes the area of ​​different functional areas, the position and size of doors and windows, the orientation of the house, the height of the house, and the floor height; A position module 202 is configured to determine a target position for installing a target sensor in a target functional area according to a requirement of the target functional area, wherein the target functional area is any one of the different functional areas, and the target sensor includes a light intensity sensor, a temperature sensor, a noise sensor, and an air quality sensor; An algorithm module 203 is configured to connect a controlled unit to a control unit, and adjust an operation mode of the controlled unit using a preset algorithm according to data of the target sensor, wherein the controlled unit includes a lighting unit, an air conditioning unit, a window unit, a curtain unit, and a water heater unit; The adjustment module 204 is configured to obtain energy consumption data at preset time intervals and adjust the preset algorithm according to the energy consumption data.

[0061] Optionally, the acquisition module 201 is configured to: Determine the first opening method of the window according to the characteristics and safety characteristics of the target functional area; The basic ventilation volume is determined according to the area, wind speed, personnel density and activity intensity coefficient of the target functional area, and the basic ventilation volume is corrected according to the thermal pressure data to obtain the ventilation volume. The first opening size of the window is determined according to the ventilation volume, the wind pressure data and the first opening method. The wind pressure data includes wind speed, wind direction and wind pressure coefficient, and the thermal pressure data includes indoor and outdoor temperature difference and heat conductivity coefficient.

[0062] Optionally, the acquisition module 201 is configured to: Determining whether the first opening mode of the window of the target functional area is consistent with the second opening mode of the window in the house data; When the first opening mode is consistent with the second opening mode, determining whether a difference between the first opening size of the window and the second opening size of the window in the house data is within a preset range; When the difference between the first opening size and the second opening size is within the preset range, the original design of the window is retained; otherwise, the window is constructed according to the first opening method and the first opening size.

[0063] Optionally, the acquisition module 201 is configured to: A three-dimensional model of the house to be decorated is constructed according to the house data, and air flow conditions at different air outlet positions and wind speeds in the target functional area are simulated separately using computational fluid dynamics to determine a preliminary air outlet position; Computational fluid dynamics is used to simulate the air flow of the house to be decorated as a whole to adjust the preliminary position to determine the position of the air outlet of the air conditioner.

[0064] Optionally, the algorithm module 203 is configured to: Determine whether there is someone in the room according to the data of the target sensor; When no one is in the room, if the current time is not a preset time, the energy-consuming equipment is turned off to enter the energy-saving mode, and if the current time is a preset time, the air-conditioning unit is turned on to maintain the indoor temperature at a preset temperature, and the energy-consuming equipment includes a lighting unit, an air-conditioning unit and a water heater unit; When there is someone in the room, the operation mode of the controlled unit in the corresponding area is adjusted according to the current position of the person and the current time.

[0065] Optionally, the algorithm module 203 is configured to: Determine the bathing time period according to historical data, and when the person is in the living room, determine whether the current time is a preset time before the bathing time period; When the current moment is the preset time before the bathing time period, the water heater is turned on and the curtains are closed, the light brightness is adjusted according to the current indoor light intensity, and the air conditioner is kept on to keep the indoor temperature at the preset temperature.

[0066] Optionally, the adjustment module 204 is configured to: Determine energy consumption characteristics of different functional areas according to the energy consumption data, and determine usage patterns of different functional areas according to the energy consumption characteristics; According to the energy consumption data and the usage mode, the parameters of the preset algorithm are adjusted, and the parameters include the conditions for triggering the air conditioner to turn on, the indoor temperature that the air conditioner needs to maintain, and the working mode of the air conditioner.

[0067] It should be noted that: when the device provided in the above embodiment realizes its function, only the division of the above functional modules is used as an example. In actual application, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0068] This embodiment also discloses an electronic device, referring to Figure 3 The electronic device may include: at least one processor 301 , at least one communication bus 302 , a user interface 303 , a network interface 304 , and at least one memory 305 .

[0069] The communication bus 302 is used to realize the connection and communication between these components.

[0070] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0071] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0072] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts in the entire server, and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0073] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may also be optionally at least one storage device located away from the aforementioned processor 301. As Figure 3 As shown, the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program of the interior decoration method.

[0074] exist Figure 3In the electronic device shown, the user interface 303 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 301 can be used to call the application program storing the interior decoration method in the memory 305. When executed by one or more processors 301, the electronic device executes one or more methods in the above-mentioned embodiments.

[0075] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0076] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0077] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0078] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0079] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0080] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory 305 and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory 305 includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk.

[0081] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for interior decoration, characterized in that: Applied to an interior decoration platform, the method comprises: Acquire house data, wind pressure data, and thermal pressure data of the house to be decorated, determine the wall materials and floor materials of different functional areas according to the house data, determine the window opening size and opening method according to the house data, and determine the position of the air-conditioning outlet according to the house data, wherein the house data includes the area of ​​different functional areas, the position and size of doors and windows, the orientation of the house, the height of the house, and the floor height; Determine the target position for installing the target sensor in the target functional area according to the requirements of the target functional area, the target functional area is any one of the different functional areas, and the target sensor includes a light intensity sensor, a temperature sensor, a noise sensor, and an air quality sensor; Connecting the controlled unit to the control unit, and adjusting the operation mode of the controlled unit using a preset algorithm according to the data of the target sensor, the controlled unit including a lighting unit, an air conditioning unit, a window unit, a curtain unit and a water heater unit; Energy consumption data is acquired at preset time intervals, and the preset algorithm is adjusted according to the energy consumption data.

2. The interior decoration method according to claim 1, characterized in that: Determining the window opening size and opening method according to the house data, wind pressure data and thermal pressure data includes: Determine the first opening method of the window according to the characteristics and safety characteristics of the target functional area; The basic ventilation volume is determined according to the area, wind speed, personnel density and activity intensity coefficient of the target functional area, and the basic ventilation volume is corrected according to the thermal pressure data to obtain the ventilation volume. The first opening size of the window is determined according to the ventilation volume, the wind pressure data and the first opening method. The wind pressure data includes wind speed, wind direction and wind pressure coefficient, and the thermal pressure data includes indoor and outdoor temperature difference and heat conductivity coefficient.

3. The interior decoration method according to claim 2, characterized in that: Determining the window opening size and opening method according to the house data, wind pressure data and thermal pressure data includes: Determining whether the first opening mode of the window of the target functional area is consistent with the second opening mode of the window in the house data; When the first opening mode is consistent with the second opening mode, determining whether a difference between the first opening size of the window and the second opening size of the window in the house data is within a preset range; When the difference between the first opening size and the second opening size is within the preset range, the original design of the window is retained; otherwise, the window is constructed according to the first opening method and the first opening size.

4. The interior decoration method according to claim 1, characterized in that: Determining the position of the air outlet of the air conditioner according to the house data includes: A three-dimensional model of the house to be decorated is constructed according to the house data, and air flow conditions at different air outlet positions and wind speeds in the target functional area are simulated separately using computational fluid dynamics to determine a preliminary air outlet position; Computational fluid dynamics is used to simulate the air flow of the house to be decorated as a whole to adjust the preliminary position to determine the position of the air outlet of the air conditioner.

5. The interior decoration method according to claim 1, characterized in that: The step of adjusting the operation mode of the controlled unit by using a preset algorithm according to the data of the target sensor includes: Determine whether there is someone in the room according to the data of the target sensor; When no one is in the room, if the current time is not a preset time, the energy-consuming equipment is turned off to enter the energy-saving mode, and if the current time is a preset time, the air-conditioning unit is turned on to maintain the indoor temperature at a preset temperature, and the energy-consuming equipment includes a lighting unit, an air-conditioning unit and a water heater unit; When there is someone in the room, the operation mode of the controlled unit in the corresponding area is adjusted according to the current position of the person and the current time.

6. The interior decoration method according to claim 5, characterized in that: The operation mode of the controlled unit for adjusting the corresponding area according to the current position of the person and the current time includes: Determine the bathing time period according to historical data, and when the person is in the living room, determine whether the current time is a preset time before the bathing time period; When the current moment is the preset time before the bathing time period, the water heater is turned on and the curtains are closed, the light brightness is adjusted according to the current indoor light intensity, and the air conditioner is kept on to keep the indoor temperature at the preset temperature.

7. The interior decoration method according to claim 1, characterized in that: The adjusting the preset algorithm according to the energy consumption data includes: Determine energy consumption characteristics of different functional areas according to the energy consumption data, and determine usage patterns of different functional areas according to the energy consumption characteristics; According to the energy consumption data and the usage mode, the parameters of the preset algorithm are adjusted, and the parameters include the conditions for triggering the air conditioner to turn on, the indoor temperature that the air conditioner needs to maintain, and the working mode of the air conditioner.

8. A system for interior decoration, characterized in that: It includes acquisition module, location module, algorithm module and adjustment module, among which: A collection module, configured to obtain house data, wind pressure data and thermal pressure data of the house to be decorated, determine the wall materials and floor materials of different functional areas according to the house data, determine the opening size and opening method of the window according to the house data, wind pressure data and thermal pressure data, and determine the position of the air outlet of the air conditioner according to the house data, wherein the house data includes the area of ​​different functional areas, the position and size of doors and windows, the orientation of the house, the height of the house and the floor height; A position module is configured to determine a target position for installing a target sensor in a target functional area according to a requirement of the target functional area, wherein the target functional area is any one of the different functional areas, and the target sensor includes a light intensity sensor, a temperature sensor, a noise sensor, and an air quality sensor; an algorithm module configured to connect a controlled unit to a control unit, and to adjust an operation mode of the controlled unit using a preset algorithm according to data of the target sensor, wherein the controlled unit includes a lighting unit, an air conditioning unit, a window unit, a curtain unit, and a water heater unit; The adjustment module is configured to obtain energy consumption data at preset time intervals and adjust the preset algorithm according to the energy consumption data.

9. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is executed.

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