Intelligent door and window control method and system based on indoor environment analysis

Abstract

The invention discloses an intelligent door and window control method and system based on indoor environment analysis, and relates to the technical field of door and window control, in the operation process of the system, temperature, humidity, illumination conditions and noise conditions are collected in real time through sensors, preference settings and operation historical records of a user are collected through voice recognition and gesture recognition, and the user experience is improved. Technical parameters provided by door and window manufacturers are used as a first data set, a second data set and a third data set to carry out preprocessing, analysis and extraction, preference setting and habits of users are recognized, an intelligent door and window control index Znkz is obtained through calculation, and the intelligent door and window control index Znkz is obtained according to indoor environment parameters and user preference information. The intelligent door and window control index Znkz is compared with a preset standard threshold value M and a preset standard threshold value N, the current environment state and user requirements are evaluated, a door and window control strategy is made, the opening and closing states of doors and windows are controlled according to instructions of the decision logic module, and a user interface used for interaction is provided.

Description

Technical Field

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

[0002] In the Chinese invention patent application publication number CN115749502A, a smart home system door and window with an environmental sensing control function is disclosed, which is used to solve the problem that the prior art does not have an environmental sensing detection function and cannot realize automatic window opening and closing. When no one is indoors or at night, rain or wind entering the room can easily cause damage to internal items, and dust and air entering the room can easily cause indoor air deterioration and indoor dust accumulation, and the intelligence level is low. Specifically, the smart home system door and window with an environmental sensing control function includes a door and window body, which is composed of a door and window window body and a door and window window frame. A window locking mechanism is installed on one group of door and window window frames, and an insertion matching mechanism is installed on the other group of door and window window frames. The present invention integrates manual window opening and closing, electric window opening and closing, electric locking, electric unlocking and manual unlocking, and analyzes the environment outside the window and automatically closes the window through an environmental sensing detection unit, and the intelligence level is high.

[0003] In the technical solutions recorded in the above applications, CN115749502A mainly focuses on the detection of environmental factors outside the window such as rain and wind, but ignores the changes in the indoor environment and user preferences, and does not fully consider the user's preference settings and historical operation records. The intelligence level of the system is limited, and the windows are automatically closed only through the environment outside the window. It does not involve how to optimize energy use while ensuring indoor comfort. It does not provide remote monitoring and control functions. Users cannot monitor and control the status of doors and windows anytime and anywhere. The automatic window closing function is relatively simple, and is only based on a simple trigger of the external environment, without complex decision-making logic. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent door and window control method and system based on indoor environment analysis, which solves the problems mentioned in the background technology.

[0006] (II) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent door and window control system based on indoor environment analysis, including a data acquisition module, a data processing module, a decision logic module, an execution control module, a human-computer interaction module and a remote control module;

[0008] The data acquisition module is used to collect temperature, humidity, lighting conditions and noise conditions in real time through various sensors, collect user preference settings and operation history records through voice recognition and gesture recognition, and collect the material, thermal insulation performance, energy consumption of indoor equipment, and duration and area of ​​door and window opening and closing states of doors and windows through technical parameters, measuring equipment and power monitoring equipment provided by door and window manufacturers as the first data group, the second data group and the third data group;

[0009] The data processing module is used to pre-process the collected first data group, the second data group and the third data group, including data cleaning, denoising and correction, analyze and extract the collected user preference information, identify the user's preference settings and habits, and calculate and obtain the intelligent door and window control index Znkz after analyzing the user preference information;

[0010] The decision logic module is used to compare the intelligent door and window control index Znkz with the preset standard threshold M and the preset standard threshold N according to the indoor environmental parameters and user preference information, evaluate the current environmental status and user needs, and formulate a door and window control strategy;

[0011] The execution control module is used to control the opening and closing status of doors and windows according to the instructions of the decision logic module;

[0012] The human-computer interaction module is used to control the state of doors and windows through voice command recognition and gesture operation recognition, and provides a user interface for interaction, so that users can set control parameters and view real-time environmental data and door and window status;

[0013] The remote control module is used to allow the user to remotely monitor the status of the smart door and window system through a remote device. The user can view the current indoor environmental parameters and the opening and closing status of the doors and windows in real time, and allow the user to remotely control the smart door and window system through a remote device, including controlling the opening and closing status of the windows and adjusting the lifting position of the curtains. The user sends control instructions through the remote device to adjust the status of the doors and windows in real time.

[0014] Preferably, the data acquisition module includes an environmental parameter acquisition unit, a user preference acquisition unit and a door and window characteristic acquisition unit;

[0015] The environmental parameter acquisition unit is used to collect the temperature value Wdz, humidity value Sdz, light intensity value Gzqd and noise intensity Zsqd of the indoor environment in real time through the temperature sensor, humidity sensor, light sensor and noise sensor as the first data group;

[0016] The user preference collection unit collects the user's preference settings and operation history records, including the user's preferred temperature range and light intensity, and the history records of voice commands or gesture operations, through voice recognition and gesture recognition technology, and obtains: the user's preferred temperature value Phwd, the historical window opening time Kcsc, the historical window closing time Gcsc, and the door and window control response speed Xysd, as the second data group;

[0017] The door and window characteristic acquisition unit is used to collect the material, thermal insulation performance, energy consumption of indoor equipment, door and window opening and closing state duration and area through the technical parameters, measuring equipment and power monitoring equipment provided by the door and window manufacturer, and obtain: opening and closing state duration Khsj, door and window area value Mcmj, current indoor and outdoor temperature difference Nwwd and energy consumption value Nyxh of indoor equipment as the third data group;

[0018] Install a smart meter on the circuit of the air-conditioning equipment to monitor its power consumption in real time and obtain the energy consumption value Nyxh of the indoor equipment.

[0019] Preferably, the data processing module includes a parameter processing unit;

[0020] The parameter processing unit is used to pre-process the collected first data group, second data group and third data group, including data cleaning, denoising and correction, obtain the overall state of the current indoor environment, analyze the user preference information and calculate and obtain: intelligent door and window control index Znkz, environmental perception coefficient Hjgz, user preference coefficient Yhph and energy efficiency coefficient Nyxl;

[0021] The intelligent door and window control index Znkz is calculated by the following formula:

[0022]

[0023] Where Hjgz represents the environmental perception coefficient, Yhph represents the user preference coefficient, Nyxl represents the energy efficiency coefficient, q, w and e represent the proportional coefficients of the environmental perception coefficient Hjgz, the user preference coefficient Yhph and the energy efficiency coefficient Nyxl respectively;

[0024] Wherein, 0≤q≤1, 0≤w≤1, 0≤e≤1, and q+w+e≤1.0, R represents the first correction constant;

[0025] The environmental perception coefficient Hjgz is calculated by the following formula:

[0026] Hjgz=[(Wdz*t)+(Sdz*y)+(Gzqd*u)+(Zsqd*i)]+O;

[0027] Wherein, Wdz represents the temperature value of the indoor environment, Sdz represents the humidity value, Gzqd represents the light intensity value, Zsqd represents the noise intensity, t, y, u and i represent the proportional coefficients of the temperature value Wdz, humidity value Sdz, light intensity value Gzqd and noise intensity Zsqd of the indoor environment respectively;

[0028] Wherein, 0≤t≤1, 0≤y≤1, 0≤u≤1, 0≤i≤1, and t+y+u+i≤1.0, and O represents the second correction constant.

[0029] Preferably, the user preference coefficient Yhph is calculated by the following formula:

[0030] Yhph=[(Phwd*a)+(Kcsc*s)+(Gcsc*d)+(Xysd*f)]+G;

[0031] Wherein, Phwd represents the user's preferred temperature value, Kcsc represents the historical window opening time, Gcsc represents the historical window closing time, Xysd represents the door and window control response speed, a, s, d and f represent the proportional coefficients of the user's preferred temperature value Phwd, the historical window opening time Kcsc, the historical window closing time Gcsc and the door and window control response speed Xysd respectively;

[0032] Wherein, 0≤a≤1, 0≤s≤1, 0≤d≤1, 0≤f≤1, and a+s+d+f≤1.0, and G represents the third correction constant.

[0033] Preferably, the energy efficiency coefficient Nyxl is calculated by the following formula:

[0034] Nyxl=[(Khsj*h)+(Mcmj*j)+(Nwwd*k)+(Nyxh*z)]+L;

[0035] Where, Khsj represents the duration of the opening and closing state, Mcmj represents the area value of doors and windows, Nwwd represents the current indoor and outdoor temperature difference, Nyxh represents the energy consumption value of indoor equipment, h, j, k and z represent the proportional coefficients of the duration of the opening and closing state Khsj, the area value of doors and windows Mcmj, the current indoor and outdoor temperature difference Nwwd and the energy consumption value of indoor equipment Nyxh respectively;

[0036] Among them, 0≤h≤1, 0≤j≤1, 0≤k≤1, 0≤z≤1, and h+j+k+z≤1.0, and L represents the fourth correction constant.

[0037] Preferably, the decision logic module includes a door and window control strategy formulation unit;

[0038] The door and window control strategy formulation unit is used to compare the calculated intelligent door and window control index Znkz with the preset standard threshold M and the preset standard threshold N to evaluate the current environmental status and user needs;

[0039] When the smart door and window control index Znkz> the preset standard threshold M, the first control strategy is obtained. The door and window control system will give priority to adjusting to improve indoor comfort. If the indoor temperature exceeds the standard temperature by 10%, the system will automatically open the windows for ventilation and cooling. The operation time of the indoor air-conditioning equipment is increased to 20% of the original time, and the curtain opening and closing state is adjusted to improve indoor ventilation and cooling effects.

[0040] When the preset standard threshold M≤intelligent door and window control index Znkz≤preset standard threshold N, the second control strategy is obtained, and the door and window control system will give priority to energy saving and reduce energy consumption. Under the condition that the comfort level is not affected, the system keeps the doors and windows closed to reduce energy loss and improve the efficiency of indoor air-conditioning equipment by increasing the thermal insulation performance of doors and windows;

[0041] When the smart door and window control index Znkz is less than the preset standard threshold N, the third control strategy is obtained, and the system will start the emergency energy-saving mode to reduce energy consumption. When the comfort of the indoor environment is affected to a certain extent, the system will close the windows and reduce the operating time of the indoor equipment to 60% of the original operating time to save energy, increase indoor insulation materials, and improve the sealing of doors and windows.

[0042] Preferably, the execution control module includes a door and window control unit;

[0043] The door and window control unit is used to control the opening and closing status of the doors and windows according to the instructions of the decision logic module. When the decision logic module determines that the doors and windows need to adjust the opening and closing status, the door and window control unit will execute the corresponding control instructions, control the opening and closing of the windows through the electric actuator, or control the lifting and lowering position of the curtains, monitor the status of the doors and windows in real time, and make adjustments as needed to make the opening and closing status of the doors and windows consistent with the instructions of the decision logic module.

[0044] Preferably, the human-computer interaction module includes a voice command recognition unit and a gesture operation recognition unit;

[0045] The voice command recognition unit is used to recognize the user's voice commands through voice recognition technology to control the state of doors and windows. When the user issues commands through voice, the voice command recognition unit will recognize and parse these commands and convert them into system control commands, and verify and process the recognized voice commands at the same time;

[0046] The gesture operation recognition unit is used to recognize the user's gesture operation through gesture recognition technology to control the status of doors and windows. When the user performs gesture operations through the gesture operation interface or sensor, the gesture operation recognition unit will recognize and analyze these gestures and convert them into corresponding control commands. At the same time, the recognized gestures are verified and processed to ensure the accuracy and reliability of the gesture operation.

[0047] Preferably, the remote control module includes a remote monitoring unit and a remote control unit;

[0048] The remote monitoring unit is used to allow the user to remotely monitor the status of the intelligent door and window system through a remote device, view the current indoor environmental parameters and the opening and closing status of the doors and windows in real time, and obtain real-time updates of the system status through the remote device;

[0049] The remote control unit is used to allow the user to remotely control the intelligent door and window system through a remote device, send control instructions through the remote device, control the opening and closing status of the windows and adjust the lifting and lowering positions of the curtains, so as to achieve real-time adjustment of the door and window status.

[0050] An intelligent door and window control method based on indoor environment analysis comprises the following steps:

[0051] Step 1: Use various sensors to collect temperature, humidity, lighting conditions and noise conditions in real time, use voice recognition and gesture recognition to collect user preference settings and operation history records, and use technical parameters, measuring equipment and power monitoring equipment provided by door and window manufacturers to collect the material, thermal insulation performance of doors and windows, energy consumption of indoor equipment, duration and area of ​​door and window opening and closing states as the first data group, the second data group and the third data group;

[0052] Step 2: pre-process the collected first data group, second data group and third data group, including data cleaning, denoising and correction, analyze and extract the collected user preference information, identify the user's preference settings and habits, and calculate and obtain the intelligent door and window control index Znkz after analyzing the user preference information;

[0053] Step 3: According to indoor environmental parameters and user preference information, the intelligent door and window control index Znkz is compared with the preset standard threshold M and the preset standard threshold N to evaluate the current environmental status and user needs and formulate a door and window control strategy;

[0054] Step 4: Control the opening and closing status of doors and windows according to the instructions of the decision logic module;

[0055] Step 5: Control the state of doors and windows through voice command recognition and gesture operation recognition, and provide a user interface for interaction, so that users can set control parameters and view real-time environmental data and door and window status;

[0056] Step 6: Allow users to remotely monitor the status of the smart door and window system through remote devices. Users can view the current indoor environmental parameters and the opening and closing status of doors and windows in real time. Allow users to remotely control the smart door and window system through remote devices, including controlling the opening and closing status of windows and adjusting the lifting position of curtains. Users send control instructions through remote devices to adjust the status of doors and windows in real time.

[0057] (III) Beneficial effects

[0058] The present invention provides an intelligent door and window control method and system based on indoor environment analysis, which has the following beneficial effects:

[0059] (1) When the system is running, various sensors are used to collect temperature, humidity, lighting conditions and noise conditions in real time. Voice recognition and gesture recognition are used to collect user preferences and operation history records. Technical parameters, measuring equipment and power monitoring equipment provided by door and window manufacturers are used to collect the material, thermal insulation performance, energy consumption of indoor equipment, duration and area of ​​door and window opening and closing states. These data are used as the first data group, the second data group and the third data group for preprocessing, parsing and extraction. User preferences and habits are identified and the intelligent door and window control index Znkz is calculated and obtained. Based on indoor environmental parameters and user preference information, the intelligent door and window control index Znkz is compared with the preset standard threshold M and the preset standard threshold N to evaluate the current environmental status and user needs, formulate a door and window control strategy, control the opening and closing states of doors and windows according to the instructions of the decision logic module, and provide a user interface for interaction.

[0060] (2) The temperature, humidity, light intensity, and noise intensity of the indoor environment are collected in real time to form the first data set. Through voice recognition and gesture recognition technology, the user's preference settings and operation history are collected to form the second data set. The material, thermal insulation performance, energy consumption, opening and closing state duration and area of ​​doors and windows are collected to form the third data set. Comprehensive environmental data, user preference data, and door and window characteristic data are provided to ensure that the system can make control decisions based on accurate real-time information.

[0061] (3) Ensure the accuracy and reliability of data, calculate the control index that comprehensively reflects the environmental status and user needs, and provide data support for decision-making. According to different environments and user needs, formulate reasonable control strategies to improve the comfort of indoor environment and energy efficiency. Accurately execute control instructions, adjust the status of doors and windows in time, and keep the indoor environment in the best state. Provide a natural and convenient interaction method so that users can easily control doors and windows, set control parameters and view real-time data. Realize remote monitoring and control, so that users can grasp and adjust the indoor environment even if they are not at home, improving the flexibility and convenience of the system.

[0062] (4) The system can automatically adjust the state of doors and windows according to real-time environmental parameters and user preferences to maintain the comfort of the indoor environment. The system can evaluate the environmental status and user needs through the intelligent door and window control index Znkz. The system can save energy to the maximum extent while ensuring comfort. The voice and gesture control methods provided by the human-computer interaction module make user operation more natural and convenient. At the same time, the remote control module enables users to monitor and adjust the indoor environment anytime and anywhere. Through the intelligent management of the entire process of data collection, processing, decision-making, and execution, efficient intelligent door and window control is achieved, improving the quality of life and energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a schematic diagram of a flow chart of an intelligent door and window control system based on indoor environment analysis according to the present invention;

[0064] Figure 2 This is a schematic diagram of the steps of an intelligent door and window control method based on indoor environment analysis of the present invention. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] Example 1

[0067] The present invention provides an intelligent door and window control system based on indoor environment analysis. Figure 1 , including data acquisition module, data processing module, decision logic module, execution control module, human-computer interaction module and remote control module;

[0068] The data acquisition module is used to collect temperature, humidity, lighting conditions and noise conditions in real time through various sensors, collect user preference settings and operation history records through voice recognition and gesture recognition, and collect the material, thermal insulation performance, energy consumption of indoor equipment, and duration and area of ​​door and window opening and closing states of doors and windows through technical parameters, measuring equipment and power monitoring equipment provided by door and window manufacturers as the first data group, the second data group and the third data group;

[0069] The data processing module is used to pre-process the collected first data group, the second data group and the third data group, including data cleaning, denoising and correction, analyze and extract the collected user preference information, identify the user's preference settings and habits, and calculate and obtain the intelligent door and window control index Znkz after analyzing the user preference information;

[0070] The decision logic module is used to compare the intelligent door and window control index Znkz with the preset standard threshold M and the preset standard threshold N according to the indoor environmental parameters and user preference information, evaluate the current environmental status and user needs, and formulate a door and window control strategy;

[0071] The execution control module is used to control the opening and closing status of doors and windows according to the instructions of the decision logic module;

[0072] The human-computer interaction module is used to control the state of doors and windows through voice command recognition and gesture operation recognition, and provides a user interface for interaction, so that users can set control parameters and view real-time environmental data and door and window status;

[0073] The remote control module is used to allow the user to remotely monitor the status of the smart door and window system through a remote device. The user can view the current indoor environmental parameters and the opening and closing status of the doors and windows in real time, and allow the user to remotely control the smart door and window system through a remote device, including controlling the opening and closing status of the windows and adjusting the lifting position of the curtains. The user sends control instructions through the remote device to adjust the status of the doors and windows in real time.

[0074] In this embodiment, temperature, humidity, lighting conditions and noise conditions are collected in real time through various sensors, user preference settings and operation history records are collected through voice recognition and gesture recognition, and the material, thermal insulation performance, energy consumption of indoor equipment, duration and area of ​​door and window opening and closing states are collected through technical parameters, measuring equipment and power monitoring equipment provided by door and window manufacturers. These data are used as the first data group, the second data group and the third data group for preprocessing, parsing and extraction, and user preference settings and habits are identified. The intelligent door and window control index Znkz is calculated and obtained. According to indoor environmental parameters and user preference information, the intelligent door and window control index Znkz is compared with the preset standard threshold M and the preset standard threshold N to evaluate the current environmental status and user needs, formulate a door and window control strategy, control the opening and closing states of the doors and windows according to the instructions of the decision logic module, and provide a user interface for interaction.

[0075] Example 2

[0076] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the data acquisition module includes an environmental parameter acquisition unit, a user preference acquisition unit, and a door and window characteristic acquisition unit;

[0077] The environmental parameter acquisition unit is used to collect the temperature value Wdz, humidity value Sdz, light intensity value Gzqd and noise intensity Zsqd of the indoor environment in real time through the temperature sensor, humidity sensor, light sensor and noise sensor as the first data group;

[0078] The user preference collection unit collects the user's preference settings and operation history records, including the user's preferred temperature range and light intensity, and the history records of voice commands or gesture operations, through voice recognition and gesture recognition technology, and obtains: the user's preferred temperature value Phwd, the historical window opening time Kcsc, the historical window closing time Gcsc, and the door and window control response speed Xysd, as the second data group;

[0079] The door and window characteristic acquisition unit is used to collect the material, thermal insulation performance, energy consumption of indoor equipment, door and window opening and closing state duration and area through the technical parameters, measuring equipment and power monitoring equipment provided by the door and window manufacturer, and obtain: opening and closing state duration Khsj, door and window area value Mcmj, current indoor and outdoor temperature difference Nwwd and indoor equipment energy consumption value Nyxh as the third data group. The data processing module includes a parameter processing unit;

[0080] The parameter processing unit is used to pre-process the collected first data group, second data group and third data group, including data cleaning, denoising and correction, obtain the overall state of the current indoor environment, analyze the user preference information and calculate and obtain: intelligent door and window control index Znkz, environmental perception coefficient Hjgz, user preference coefficient Yhph and energy efficiency coefficient Nyxl;

[0081] The intelligent door and window control index Znkz is calculated by the following formula:

[0082]

[0083] Where Hjgz represents the environmental perception coefficient, Yhph represents the user preference coefficient, Nyxl represents the energy efficiency coefficient, q, w and e represent the proportional coefficients of the environmental perception coefficient Hjgz, the user preference coefficient Yhph and the energy efficiency coefficient Nyxl respectively;

[0084] Wherein, 0≤q≤1, 0≤w≤1, 0≤e≤1, and q+w+e≤1.0, R represents the first correction constant;

[0085] The environmental perception coefficient Hjgz is calculated by the following formula:

[0086] Hjgz=[(Wdz*t)+(Sdz*y)+(Gzqd*u)+(Zsqd*i)]+O;

[0087] Wherein, Wdz represents the temperature value of the indoor environment, Sdz represents the humidity value, Gzqd represents the light intensity value, Zsqd represents the noise intensity, t, y, u and i represent the proportional coefficients of the temperature value Wdz, humidity value Sdz, light intensity value Gzqd and noise intensity Zsqd of the indoor environment respectively;

[0088] Wherein, 0≤t≤1, 0≤y≤1, 0≤u≤1, 0≤i≤1, and t+y+u+i≤1.0, and O represents the second correction constant.

[0089] The user preference coefficient Yhph is calculated by the following formula:

[0090] Yhph=[(Phwd*a)+(Kcsc*s)+(Gcsc*d)+(Xysd*f)]+G;

[0091] Wherein, Phwd represents the user's preferred temperature value, Kcsc represents the historical window opening time, Gcsc represents the historical window closing time, Xysd represents the door and window control response speed, a, s, d and f represent the proportional coefficients of the user's preferred temperature value Phwd, the historical window opening time Kcsc, the historical window closing time Gcsc and the door and window control response speed Xysd respectively;

[0092] Wherein, 0≤a≤1, 0≤s≤1, 0≤d≤1, 0≤f≤1, and a+s+d+f≤1.0, and G represents the third correction constant.

[0093] The energy efficiency coefficient Nyxl is calculated by the following formula:

[0094] Nyxl=[(Khsj*h)+(Mcmj*j)+(Nwwd*k)+(Nyxh*z)]+L;

[0095] Where, Khsj represents the duration of the opening and closing state, Mcmj represents the area value of doors and windows, Nwwd represents the current indoor and outdoor temperature difference, Nyxh represents the energy consumption value of indoor equipment, h, j, k and z represent the proportional coefficients of the duration of the opening and closing state Khsj, the area value of doors and windows Mcmj, the current indoor and outdoor temperature difference Nwwd and the energy consumption value of indoor equipment Nyxh respectively;

[0096] Among them, 0≤h≤1, 0≤j≤1, 0≤k≤1, 0≤z≤1, and h+j+k+z≤1.0, and L represents the fourth correction constant.

[0097] In this embodiment, the system can integrate various types of data, including environmental parameters, user preferences, and door and window characteristics, and provide a comprehensive control solution through comprehensive analysis. Through the calculation of the intelligent door and window control index Znkz and the correlation coefficient, the system can accurately evaluate the current environment and user needs and make accurate control decisions. The system has a modular design, and users can add or adjust sensors and control devices as needed to flexibly adapt to different application scenarios. The system uses advanced data processing and analysis algorithms to ensure fast and accurate control even in complex environments, improving the response speed and reliability of the system.

[0098] Example 3

[0099] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the decision logic module includes a door and window control strategy formulation unit;

[0100] The door and window control strategy formulation unit is used to compare the calculated intelligent door and window control index Znkz with the preset standard threshold M and the preset standard threshold N to evaluate the current environmental status and user needs;

[0101] When the smart door and window control index Znkz> the preset standard threshold M, the first control strategy is obtained. The door and window control system will give priority to adjusting to improve indoor comfort. If the indoor temperature exceeds the standard temperature by 10%, the system will automatically open the windows for ventilation and cooling. The operation time of the indoor air-conditioning equipment is increased to 20% of the original time, and the curtain opening and closing state is adjusted to improve indoor ventilation and cooling effects.

[0102] When the preset standard threshold M≤intelligent door and window control index Znkz≤preset standard threshold N, the second control strategy is obtained, and the door and window control system will give priority to energy saving and reduce energy consumption. Under the condition that the comfort level is not affected, the system keeps the doors and windows closed to reduce energy loss and improve the efficiency of indoor air-conditioning equipment by increasing the thermal insulation performance of doors and windows;

[0103] When the smart door and window control index Znkz is less than the preset standard threshold N, the third control strategy is obtained, and the system will start the emergency energy-saving mode to reduce energy consumption. When the comfort of the indoor environment is affected to a certain extent, the system will close the windows and reduce the operating time of the indoor equipment to 60% of the original operating time to save energy, increase indoor insulation materials, and improve the sealing of doors and windows.

[0104] The execution control module includes a door and window control unit;

[0105] The door and window control unit is used to control the opening and closing status of the doors and windows according to the instructions of the decision logic module. When the decision logic module determines that the doors and windows need to adjust the opening and closing status, the door and window control unit will execute the corresponding control instructions, control the opening and closing of the windows through the electric actuator, or control the lifting and lowering position of the curtains, monitor the status of the doors and windows in real time, and make adjustments as needed to make the opening and closing status of the doors and windows consistent with the instructions of the decision logic module.

[0106] In this embodiment, the system can not only adjust the opening and closing of doors and windows, but also control the position of curtains and the running time of air conditioners, providing comprehensive environmental control capabilities. When the intelligent door and window control index Znkz is lower than the preset standard threshold N, the system will start the emergency energy-saving mode to minimize energy consumption, extend the service life of the equipment, and reduce the environmental burden. The system can automatically analyze the environmental status and user needs, make real-time adjustments, reduce human intervention, and improve the convenience and intelligence level of operation. Through the electric actuator, the system can accurately control the opening and closing position of windows and curtains to ensure that the execution effect is consistent with the decision. The system can monitor and adjust the status of doors and windows in real time. Users can view and set control parameters through the human-computer interaction module, which improves the flexibility and satisfaction of use. The system can monitor indoor environmental parameters and door and window status in real time to ensure that timely adjustments can be made under any circumstances to maintain the stability and security of the system.

[0107] Example 4

[0108] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the human-computer interaction module includes a voice command recognition unit and a gesture operation recognition unit;

[0109] The voice command recognition unit is used to recognize the user's voice commands through voice recognition technology to control the state of doors and windows. When the user issues commands through voice, the voice command recognition unit will recognize and parse these commands and convert them into system control commands, and verify and process the recognized voice commands at the same time;

[0110] The gesture operation recognition unit is used to recognize the user's gesture operation through gesture recognition technology to control the status of doors and windows. When the user performs gesture operations through the gesture operation interface or sensor, the gesture operation recognition unit will recognize and analyze these gestures and convert them into corresponding control commands. At the same time, the recognized gestures are verified and processed to ensure the accuracy and reliability of the gesture operation.

[0111] The remote control module includes a remote monitoring unit and a remote control unit;

[0112] The remote monitoring unit is used to allow the user to remotely monitor the status of the intelligent door and window system through a remote device, view the current indoor environmental parameters and the opening and closing status of the doors and windows in real time, and obtain real-time updates of the system status through the remote device;

[0113] The remote control unit is used to allow the user to remotely control the intelligent door and window system through a remote device, send control instructions through the remote device, control the opening and closing status of the windows and adjust the lifting and lowering positions of the curtains, so as to achieve real-time adjustment of the door and window status.

[0114] In this embodiment, by integrating voice command recognition, gesture operation recognition, and remote monitoring and control functions, not only the convenience and intelligence level of the system are greatly improved, but also the interactivity and flexibility of user operations are enhanced. The system can automatically select the best control strategy according to user needs and environmental changes to optimize the comfort and energy efficiency of the indoor environment. At the same time, the remote monitoring and control function can also respond in time in an emergency to improve home safety. Voice and gesture recognition provide an intuitive and simple operation method, reduce the user's learning cost, and improve the system's ease of use and user satisfaction. The system can achieve more efficient management and energy saving effects, and ultimately improve user experience and satisfaction.

[0115] Example 5

[0116] An intelligent door and window control method based on indoor environment analysis, please refer to Figure 2 , specifically: including the following steps:

[0117] Step 1: Use various sensors to collect temperature, humidity, lighting conditions and noise conditions in real time, use voice recognition and gesture recognition to collect user preference settings and operation history records, and use technical parameters, measuring equipment and power monitoring equipment provided by door and window manufacturers to collect the material, thermal insulation performance of doors and windows, energy consumption of indoor equipment, duration and area of ​​door and window opening and closing states as the first data group, the second data group and the third data group;

[0118] Step 2: pre-process the collected first data group, second data group and third data group, including data cleaning, denoising and correction, analyze and extract the collected user preference information, identify the user's preference settings and habits, and calculate and obtain the intelligent door and window control index Znkz after analyzing the user preference information;

[0119] Step 3: According to indoor environmental parameters and user preference information, the intelligent door and window control index Znkz is compared with the preset standard threshold M and the preset standard threshold N to evaluate the current environmental status and user needs and formulate a door and window control strategy;

[0120] Step 4: Control the opening and closing status of doors and windows according to the instructions of the decision logic module;

[0121] Step 5: Control the state of doors and windows through voice command recognition and gesture operation recognition, and provide a user interface for interaction, so that users can set control parameters and view real-time environmental data and door and window status;

[0122] Step 6: Allow users to remotely monitor the status of the smart door and window system through remote devices. Users can view the current indoor environmental parameters and the opening and closing status of doors and windows in real time. Allow users to remotely control the smart door and window system through remote devices, including controlling the opening and closing status of windows and adjusting the lifting position of curtains. Users send control instructions through remote devices to adjust the status of doors and windows in real time.

[0123] In this embodiment, the system can accurately perceive the current indoor environment and user needs by collecting environmental data in real time through temperature, humidity, light and noise sensors, and combining the user's preference settings and operation history records. According to the user's habits and preferences, the system can formulate a door and window control strategy that better meets the user's needs and improve the user's comfort experience. The collected data is cleaned, denoised and corrected to ensure the accuracy and reliability of the data, thereby improving the accuracy of the system's decision-making. By comprehensively analyzing the environmental parameters and user preference information, the intelligent door and window control index Znkz is calculated to provide a scientific basis for subsequent decision-making. According to the comparison results of the intelligent door and window control index Znkz with the preset standard thresholds M and N, the system flexibly formulates the door and window control strategy, automatically adjusts the opening and closing state of doors, windows and curtains under different environmental conditions, and achieves a balance between comfort and energy efficiency. When environmental conditions permit, the system gives priority to energy-saving mode to reduce energy consumption and improve overall energy utilization efficiency. Users control the door and window status through voice commands and gesture operations, which is convenient to operate and improves user experience. Users can view indoor environmental parameters and door and window status in real time through remote devices, and perform remote control, so that users can manage doors and windows at home no matter where they are, which greatly improves the practicality and convenience of the system. Provide a user interface, users can easily set control parameters, view real-time environmental data and door and window status, making the system more friendly and easy to use.

[0124] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent door and window control system based on indoor environment analysis, characterized in that: It includes data acquisition module, data processing module, decision logic module, execution control module, human-computer interaction module and remote control module; The data acquisition module is used to collect temperature, humidity, lighting conditions and noise conditions in real time through various sensors, collect user preference settings and operation history records through voice recognition and gesture recognition, and collect the material, thermal insulation performance, energy consumption of indoor equipment, and duration and area of ​​door and window opening and closing states of doors and windows through technical parameters, measuring equipment and power monitoring equipment provided by door and window manufacturers as the first data group, the second data group and the third data group; The data processing module is used to pre-process the collected first data group, the second data group and the third data group, including data cleaning, denoising and correction, analyze and extract the collected user preference information, identify the user's preference settings and habits, and calculate and obtain the intelligent door and window control index Znkz after analyzing the user preference information; The decision logic module is used to compare the intelligent door and window control index Znkz with the preset standard threshold M and the preset standard threshold N according to the indoor environmental parameters and user preference information, evaluate the current environmental status and user needs, and formulate a door and window control strategy; The execution control module is used to control the opening and closing status of doors and windows according to the instructions of the decision logic module; The human-computer interaction module is used to control the state of doors and windows through voice command recognition and gesture operation recognition, and provides a user interface for interaction, so that users can set control parameters and view real-time environmental data and door and window status; The remote control module is used to allow the user to remotely monitor the status of the smart door and window system through a remote device. The user can view the current indoor environmental parameters and the opening and closing status of the doors and windows in real time, and allow the user to remotely control the smart door and window system through a remote device, including controlling the opening and closing status of the windows and adjusting the lifting position of the curtains. The user sends control instructions through the remote device to adjust the status of the doors and windows in real time.

2. According to claim 1, the intelligent door and window control system based on indoor environment analysis is characterized in that: The data acquisition module includes an environmental parameter acquisition unit, a user preference acquisition unit and a door and window characteristic acquisition unit; The environmental parameter acquisition unit is used to collect the temperature value Wdz, humidity value Sdz, light intensity value Gzqd and noise intensity Zsqd of the indoor environment in real time through the temperature sensor, humidity sensor, light sensor and noise sensor as the first data group; The user preference collection unit collects the user's preference settings and operation history records, including the user's preferred temperature range and light intensity, and the history records of voice commands or gesture operations, through voice recognition and gesture recognition technology, and obtains: the user's preferred temperature value Phwd, the historical window opening time Kcsc, the historical window closing time Gcsc, and the door and window control response speed Xysd, as the second data group; The door and window characteristic acquisition unit is used to collect the material, thermal insulation performance, energy consumption of indoor equipment, door and window opening and closing state duration and area through the technical parameters, measuring equipment and power monitoring equipment provided by the door and window manufacturer, and obtain: opening and closing state duration Khsj, door and window area value Mcmj, current indoor and outdoor temperature difference Nwwd and energy consumption value Nyxh of indoor equipment as the third data group; Install a smart meter on the circuit of the air-conditioning equipment to monitor its power consumption in real time and obtain the energy consumption value Nyxh of the indoor equipment.

3. According to claim 1, the intelligent door and window control system based on indoor environment analysis is characterized in that: The data processing module includes a parameter processing unit; The parameter processing unit is used to pre-process the collected first data group, second data group and third data group, including data cleaning, denoising and correction, obtain the overall state of the current indoor environment, analyze the user preference information and calculate and obtain: intelligent door and window control index Znkz, environmental perception coefficient Hjgz, user preference coefficient Yhph and energy efficiency coefficient Nyxl; The intelligent door and window control index Znkz is calculated by the following formula: Where Hjgz represents the environmental perception coefficient, Yhph represents the user preference coefficient, Nyxl represents the energy efficiency coefficient, q, w and e represent the proportional coefficients of the environmental perception coefficient Hjgz, the user preference coefficient Yhph and the energy efficiency coefficient Nyxl respectively; Wherein, 0≤q≤1, 0≤w≤1, 0≤e≤1, and q+w+e≤1.0, R represents the first correction constant; The environmental perception coefficient Hjgz is calculated by the following formula: Hjgz=[(Wdz*t)+(Sdz*y)+(Gzqd*u)+(Zsqd*i)]+O; Wherein, Wdz represents the temperature value of the indoor environment, Sdz represents the humidity value, Gzqd represents the light intensity value, Zsqd represents the noise intensity, t, y, u and i represent the proportional coefficients of the temperature value Wdz, humidity value Sdz, light intensity value Gzqd and noise intensity Zsqd of the indoor environment respectively; Wherein, 0≤t≤1, 0≤y≤1, 0≤u≤1, 0≤i≤1, and t+y+u+i≤1.0, and O represents the second correction constant.

4. According to claim 3, the intelligent door and window control system based on indoor environment analysis is characterized in that: The user preference coefficient Yhph is calculated by the following formula: Yhph=[(Phwd*a)+(Kcsc*s)+(Gcsc*d)+(Xysd*f)]+G; Wherein, Phwd represents the user's preferred temperature value, Kcsc represents the historical window opening time, Gcsc represents the historical window closing time, Xysd represents the door and window control response speed, a, s, d and f represent the proportional coefficients of the user's preferred temperature value Phwd, the historical window opening time Kcsc, the historical window closing time Gcsc and the door and window control response speed Xysd respectively; Wherein, 0≤a≤1, 0≤s≤1, 0≤d≤1, 0≤f≤1, and a+s+d+f≤1.0, and G represents the third correction constant.

5. The intelligent door and window control system based on indoor environment analysis according to claim 3 is characterized in that: The energy efficiency coefficient Nyxl is calculated by the following formula: Nyxl=[(Khsj*h)+(Mcmj*j)+(Nwwd*k)+(Nyxh*z)]+L; Where, Khsj represents the duration of the opening and closing state, Mcmj represents the area value of doors and windows, Nwwd represents the current indoor and outdoor temperature difference, Nyxh represents the energy consumption value of indoor equipment, h, j, k and z represent the proportional coefficients of the duration of the opening and closing state Khsj, the area value of doors and windows Mcmj, the current indoor and outdoor temperature difference Nwwd and the energy consumption value of indoor equipment Nyxh respectively; Among them, 0≤h≤1, 0≤j≤1, 0≤k≤1, 0≤z≤1, and h+j+k+z≤1.0, and L represents the fourth correction constant.

6. The intelligent door and window control system based on indoor environment analysis according to claim 1 is characterized in that: The decision logic module includes a door and window control strategy formulation unit; The door and window control strategy formulation unit is used to compare the calculated intelligent door and window control index Znkz with the preset standard threshold M and the preset standard threshold N to evaluate the current environmental status and user needs; When the smart door and window control index Znkz> the preset standard threshold M, the first control strategy is obtained. The door and window control system will give priority to adjusting to improve indoor comfort. If the indoor temperature exceeds the standard temperature by 10%, the system will automatically open the windows for ventilation and cooling. The operation time of the indoor air-conditioning equipment is increased to 20% of the original time, and the curtain opening and closing state is adjusted to improve indoor ventilation and cooling effects. When the preset standard threshold M≤intelligent door and window control index Znkz≤preset standard threshold N, the second control strategy is obtained, and the door and window control system will give priority to energy saving and reduce energy consumption. Under the condition that the comfort level is not affected, the system keeps the doors and windows closed to reduce energy loss and improve the efficiency of indoor air-conditioning equipment by increasing the thermal insulation performance of doors and windows; When the smart door and window control index Znkz is less than the preset standard threshold N, the third control strategy is obtained, and the system will start the emergency energy-saving mode to reduce energy consumption. When the comfort of the indoor environment is affected to a certain extent, the system will close the windows and reduce the operating time of the indoor equipment to 60% of the original operating time to save energy, increase indoor insulation materials, and improve the sealing of doors and windows.

7. The intelligent door and window control system based on indoor environment analysis according to claim 1 is characterized in that: The execution control module includes a door and window control unit; The door and window control unit is used to control the opening and closing status of the doors and windows according to the instructions of the decision logic module. When the decision logic module determines that the doors and windows need to adjust the opening and closing status, the door and window control unit will execute the corresponding control instructions, control the opening and closing of the windows through the electric actuator, or control the lifting and lowering position of the curtains, monitor the status of the doors and windows in real time, and make adjustments as needed to make the opening and closing status of the doors and windows consistent with the instructions of the decision logic module.

8. The intelligent door and window control system based on indoor environment analysis according to claim 1 is characterized in that: The human-computer interaction module includes a voice command recognition unit and a gesture operation recognition unit; The voice command recognition unit is used to recognize the user's voice commands through voice recognition technology to control the state of doors and windows. When the user issues commands through voice, the voice command recognition unit will recognize and parse these commands and convert them into system control commands, and verify and process the recognized voice commands at the same time; The gesture operation recognition unit is used to recognize the user's gesture operation through gesture recognition technology to control the status of doors and windows. When the user performs gesture operations through the gesture operation interface or sensor, the gesture operation recognition unit will recognize and analyze these gestures and convert them into corresponding control commands. At the same time, the recognized gestures are verified and processed to ensure the accuracy and reliability of the gesture operation.

9. The intelligent door and window control system based on indoor environment analysis according to claim 1, characterized in that: The remote control module includes a remote monitoring unit and a remote control unit; The remote monitoring unit is used to allow the user to remotely monitor the status of the intelligent door and window system through a remote device, view the current indoor environmental parameters and the opening and closing status of the doors and windows in real time, and obtain real-time updates of the system status through the remote device; The remote control unit is used to allow the user to remotely control the intelligent door and window system through a remote device, send control instructions through the remote device, control the opening and closing status of the windows and adjust the lifting and lowering positions of the curtains, so as to achieve real-time adjustment of the door and window status.

10. An intelligent door and window control method based on indoor environment analysis, comprising an intelligent door and window control system based on indoor environment analysis as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Use various sensors to collect temperature, humidity, lighting conditions and noise conditions in real time, use voice recognition and gesture recognition to collect user preference settings and operation history records, and use technical parameters, measuring equipment and power monitoring equipment provided by door and window manufacturers to collect the material, thermal insulation performance of doors and windows, energy consumption of indoor equipment, duration and area of ​​door and window opening and closing states as the first data group, the second data group and the third data group; Step 2: pre-process the collected first data group, second data group and third data group, including data cleaning, denoising and correction, analyze and extract the collected user preference information, identify the user's preference settings and habits, and calculate and obtain the intelligent door and window control index Znkz after analyzing the user preference information; Step 3: According to indoor environmental parameters and user preference information, the intelligent door and window control index Znkz is compared with the preset standard threshold M and the preset standard threshold N to evaluate the current environmental status and user needs and formulate a door and window control strategy; Step 4: Control the opening and closing status of doors and windows according to the instructions of the decision logic module; Step 5: Control the state of doors and windows through voice command recognition and gesture operation recognition, and provide a user interface for interaction, so that users can set control parameters and view real-time environmental data and door and window status; Step 6: Allow users to remotely monitor the status of the smart door and window system through remote devices. Users can view the current indoor environmental parameters and the opening and closing status of doors and windows in real time. Allow users to remotely control the smart door and window system through remote devices, including controlling the opening and closing status of windows and adjusting the lifting position of curtains. Users send control instructions through remote devices to adjust the status of doors and windows in real time.

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