Description:FIELD OF THE INVENTION

[0001] The present invention relates to an adaptive window system for real-time indoor environment optimization that is capable of optimizing indoor environmental conditions in real-time by automatically adjusting window opening and closing, based on temperature, humidity, air quality, and other factors, thereby creating a comfortable, healthy, and energy-efficient indoor space.

BACKGROUND OF THE INVENTION

[0002] The indoor environment plays a vital role in determining the comfort, health, and productivity of occupants. With the majority of people spending a significant amount of time indoors, it is essential to maintain optimal indoor environmental conditions. The indoor environment has a profound impact on people daily lives, influencing our mood, energy levels, and overall well-being. Moreover, indoor environmental conditions also affect people health, with poor air quality, inadequate ventilation, and extreme temperatures contributing to a range of health problems.

[0003] In recent years, there has been a growing awareness of the importance of indoor environmental quality, driven in part by concerns about climate change, energy efficiency, and occupant health. However, achieving and maintaining a comfortable and healthy indoor environment is a challenging task, especially in buildings with limited natural ventilation and inadequate heating, ventilation, and air conditioning (HVAC) systems.

[0004] Traditional methods for controlling indoor environmental conditions rely heavily on manual adjustments and fixed settings. For instance, occupants’ manually open or close windows to regulate temperature and airflow, or adjust the thermostat to control the HVAC system. However, these methods are often ineffective, as occupants are not always be present or aware of the need to adjust the windows or thermostat. Manual window control methods often rely on occupant behavior, which leads to inadequate ventilation and poor indoor air quality.

[0005] CN204256197U discloses a kind of indoor environment monitoring system, is made up of Arduino minimum system, happy networked platforms, signal acquisition module and wireless blue tooth module; The output port of signal acquisition module is connected with the input port of Arduino minimum system, and the output port of Arduino minimum system is connected by UART with wireless blue tooth module, and wireless blue tooth Bluetooth module is directly connected with happy networked platforms. This indoor environment monitoring system can realize the remote monitoring of indoor environment, not only can pass through computer client, also can pass through handset Wechat Setting signal Long-distance Control, formulate Indoor Environmental Condition.

[0006] KR101771053B1 discloses a method for determining a real-time comprehensive indoor air quality notification index comprises: a step of using at least one sensor to sense an indoor air pollutant; a step of applying an exponential moving average method to data outputted by the sensor to remove an outlier; a step of calculating an indoor air quality index for each pollutant based on data from which the outlier is removed; and a step of determining a real-time comprehensive indoor air quality notification index indicating an indoor air quality state based on the indoor air quality index for each pollutant. A proper notification index indicating an indoor air quality in real time can be provided. Overhead is minimized during processing. A small amount of memory is used. An outlier or an omission can be processed. A comprehensive pollutant representing an index can be incorporated in index calculation. The method can quickly respond to a real-time indoor air quality change and be applied to an inexpensive small indoor air quality monitoring system.

[0007] Conventionally, there exists many systems that are dedicated towards ensuring ventilation within enclosures, however these existing systems fail in regulating indoor environmental conditions by adjusting window opening and closing, based on temperature, humidity, air quality, and other factors. In addition, these existing systems are also incapable of allowing a user to manage indoor space conditions from anywhere, at any time, which cause inconvenience issues.

[0008] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that requires to be capable of providing real-time indoor environmental optimization through automated window opening adjustments in accordance with multiple factors such as temperature, humidity, air quality, and other factors, which ensures a consistently comfortable, healthy, and sustainable indoor space.

OBJECTS OF THE INVENTION

[0009] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0010] An object of the present invention is to develop a system that is capable of maintaining a perfect balance of indoor temperature, humidity, and air quality for providing a comfortable and healthy environment for occupants, thereby providing indoor climate control.

[0011] Another object of the present invention is to develop a system that is capable of responding to monitored changes in indoor and outdoor environmental conditions for ensuring a consistently balanced and pleasant indoor space, thereby providing real-time environmental monitoring and adjustment.

[0012] Another object of the present invention is to develop a system that is capable of reducing energy consumption by optimizing indoor environmental conditions, leading to cost savings and a reduced carbon footprint, making it an effective solution for environmentally conscious individuals and organizations.

[0013] Yet another object of the present invention is to develop a system that is capable of allowing a user to effortlessly manage indoor environmental conditions from anywhere, at any time, enjoying convenience, flexibility, and peace of mind, knowing that their indoor space is always comfortable, healthy, and secure.

[0014] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0015] The present invention relates to an adaptive window system for real-time indoor environment optimization that is capable of continuously maintaining indoor conditions by dynamically adjusting window openings in response to temperature, humidity, air quality, and other factors, resulting in a consistently comfortable, healthy, and energy-efficient indoor environment.

[0016] According to an embodiment of the present invention, an adaptive window system for real-time indoor environment optimization, comprises of plurality of window units associated with the system pre-installed in an enclosure, a first sensing module integrated with each of the window units to measure airflow entering through the window units and measure indoor and outdoor temperatures near window units, a processing unit associated with the system enables communication between each window units , and a servo motor integrated with each of the window units to control opening and closing angle of window units.

[0017] According to another embodiment of the present invention, the proposed system further comprises of a communication module integrated with each of window units dedicated towards establishment of communication between each of units , a second sensing module integrated with window units to monitor indoor humidity levels, carbon dioxide concentration and other particulate matter or gas concentrations in enclosure , an user-interface inbuilt in a computing unit accessed by concerned individual(s) to remotely monitor and control window units , and a machine learning protocol integrated with the processing unit that aids in collective decision-making between the window units to ensure each window opens or closes to provide a unified and balanced environmental control.

[0018] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0019] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates a perspective view of an enclosure pre-installed with multiple window units associated with an adaptive window system for real-time indoor environment optimization; and
Figure 2 illustrates a flowchart depicting the working methodology of the window units associated with the proposed system.

DETAILED DESCRIPTION OF THE INVENTION

[0020] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0021] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0022] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0023] The present invention relates to an adaptive window system for real-time indoor environment optimization that is capable of automatically adjusting window opening and closing in view of optimizing indoor conditions in real-time based on temperature, humidity, air quality, and other factors, thereby ensuring a comfortable, healthy, and energy-efficient space.

[0024] Referring to Figure 1, a perspective view of an enclosure pre-installed with multiple window units associated with an adaptive window system for real-time indoor environment optimization, comprising plurality of window units 101 associated with system pre-installed in an enclosure 102, a first sensing module 103 integrated with each of window units 101, a servo motor 104 integrated with each of the window units 101, and a second sensing module 105 integrated with window units 101 to monitor indoor humidity levels, carbon dioxide concentration and other particulate matter or gas concentrations in enclosure 102.

[0025] The system disclosed herein, comprises of multiple window units 101 associated with the system that are pre-installed in an enclosure 102, such as a building or a room. Each window unit 101 is a self-contained module that is equipped with a first sensing module 103. The first sensing module 103 serves two primary purposes, like measuring airflow entering the window unit 101 by detecting the rate at which air flows into the window unit 101 from the outside environment.

[0026] This measurement is crucial for determining the optimal opening and closing positions of the window unit 101 to maintain a comfortable indoor environment, wherein the second purpose is measuring indoor and outdoor temperatures near the window unit 101 by detecting the temperature differences between the indoor and outdoor environments near the window unit 101. This data is essential for adjusting the window unit's position to regulate indoor temperature and maintain a comfortable environment.

[0027] The first sensing module 103 includes an airflow meter and a temperature sensor. The core component of the temperature sensor is the sensing element which include but is not limited to thermistors, thermocouples, or resistance detectors. The sensing element detects airflow entering the window units 101 by altering its electrical properties. As the temperature increases and decreases, the resistance of the sensing element changes accordingly. The microcontroller continuously monitors the data from the temperature sensor and compares the monitored temperature with a threshold temperature.

[0028] For measuring airflow entering the window units 101, the airflow meter is typically installed near the window opening. As air flows through the window units 101, it passes through the meter, which measures the airflow rate. The meter then sends this data to the window unit's control system, which uses it to adjust the window unit’s 101 opening and closing position. The airflow meter consisting a hot wire anemometer that uses a thin wire heated by an electric current to measure airflow. The hot wire anemometer consists of a small, thin wire (usually made of platinum or tungsten) that is heated by an electric current.

[0029] The wire is usually mounted in a small tube or casing to protect it from damage. As air flows past the heated wire, it cools the wire, causing its resistance to change. The change in resistance is proportional to the airflow rate. The anemometer calculates the airflow rate by measuring the change in resistance and this change sent to a processing unit. The processing unit process the combined data of the airflow meter and temperature sensor and continuously monitoring indoor and outdoor temperatures near the window units 101.

[0030] The processing unit uses this data to make decisions on how each window unit 101 should be adjusted in order to optimize the indoor environment. Based on the measured airflow and temperature data, the processing unit calculates the best possible configuration for the window units 101 to ensure that the enclosure 102 receives the optimal amount of airflow, while also maintaining the desired indoor temperature.

[0031] For instance, if the system detects that the indoor temperature is higher than the desired threshold and outdoor conditions are favorable (e.g., cooler temperatures), the processing unit command a servo motor 104 integrated with each of the window units 101 to open slightly to allow fresh, cooler air to enter. Alternatively, if the indoor temperature is lower than desired or outdoor conditions are unfavorable (e.g., high outdoor temperatures), the processing unit instruct the servo motors 104 to close the window units 101, preventing hot air from entering and helping retain the indoor coolness.

[0032] The servo motor 104 is an electromechanical unit that precisely adjusts the position of the window units 101 based on the commands from the processing unit. The servo motor 104 enables smooth, incremental movements, allowing the window units 101 to be adjusted gradually to achieve the exact level of ventilation needed, without over- or under-opening the window units 101. This fine control ensures that the airflow entering the enclosure 102 is optimal.

[0033] The servo motor 104 is highly responsive, adjusting the angle of the window units 101 in real-time as environmental conditions change. The processing unit continuously monitors the data from the first sensing modules 103 and updates its instructions to the servo motor 104 accordingly. This dynamic control allows the system to adapt to fluctuating external factors like temperature shifts, wind changes, and varying indoor comfort levels, all while maintaining energy efficiency and maximizing comfort for occupants inside the enclosure 102.

[0034] Each window unit 101 is supported by sturdy retractable rods that are securely mounted along one side of the window unit 101. The extendable rod is typically connected to the window frame at one end and to a movable part (such as the bottom or the opposite side of the window units 101) at the other. As the servo motor 104 adjusts the window unit’s angle, the rod extends or retracts to assist in holding the window units 101 at the desired tilt. The servo motor's command activates the rod's extension, allowing the window units 101 to move to the correct position while maintaining stability and precise control over an optimal angle.

[0035] Each window unit 101 is further equipped with a communication module that enables seamless interaction between the window units 101 and the processing unit. The communication module plays a critical role in ensuring that the system operates cohesively by allowing each window units 101 to share vital data with the others, thus enabling coordinated adjustments to the window units 101 positions across the entire enclosure 102 (refer to Fig 2).

[0036] The communication module integrated with each of the window units 101 is preferably a Bluetooth module to facilitate seamless communication between the window units 101 and the processing unit. Bluetooth, as a wireless communication protocol, enables the exchange of data between the various window units 101 without the need for physical connections, enhancing the flexibility and scalability of the system.

[0037] The communication module in each window unit 101 is responsible for transmitting the opening and closing angle data of its own window units 101 to the other window units 101. This shared data enables all the window units 101 to work in concert, ensuring that each window unit’s opening and closing angle is optimized to maintain the desired indoor temperature and airflow balance throughout the enclosure 102.

[0038] For instance, if one window unit 101 adjusts to a more open position, the communication module will share this new opening angle with the other window units, allowing them to adjust their positions accordingly. This communication ensures that no window units 101 is left out of sync with the others, preventing situations where some window units 101 might be fully open while others are completely closed, which could lead to an imbalance in airflow or temperature distribution.

[0039] The communication modules help achieve a system-wide optimization of the indoor environment by ensuring that all window units 101 adjust in harmony. For example, if the processing unit determines that an increase in airflow is required, one window unit 101 open wider, and the communication module will relay this information to the other window units 101. In response, the other window units 101 will also adjust their opening angles to complement the first window unit’s new position.

[0040] This coordinated adjustment ensures a uniform distribution of air throughout the enclosure 102, avoiding localized drafts or temperature imbalances. Similarly, if the indoor temperature needs to be maintained at a specific level, the communication modules work together to fine-tune the positions of all window units 101 to balance ventilation and thermal control across the entire space.

[0041] In practice, the communication module works in tandem with the processing unit, where the latter makes decisions based on real-time data and shares instructions with the communication modules. This exchange of information allows for dynamic and coordinated window unit’s adjustments, ensuring that the system's collective behavior aligns with the goal of maintaining an optimal balance of indoor airflow and temperature.

[0042] By continually updating each window unit 101 with the necessary opening and closing angle data, the communication modules facilitate a real-time, adaptive response to changing environmental conditions, optimizing both comfort and energy efficiency within the enclosure 102.

[0043] To enhance the adaptive capabilities of the system, the processing unit employs a machine learning protocol that plays a pivotal role in optimizing collective decision-making across the window units 101. The machine learning (ML) approach allows the processing unit to continuously improve ability to maintain optimal indoor temperature and airflow through adaptive, data-driven adjustments of the window unit 101 positions. At the core, the machine learning protocol analyzes the data gathered from the first sensing modules 103 in each window unit 101, which includes information on airflow, temperature (both indoor and outdoor).

[0044] By processing the received data over time, the machine learning protocol identifies patterns and correlations that are immediately obvious. For example, the machine learning protocol detects that when the outdoor temperature drops to a certain level at a specific time of day, a certain window unit 101 position configuration (opening angle) optimally balances the indoor temperature and airflow. The processing unit utilizes this knowledge to predict the best adjustments in future similar conditions.

[0045] The machine learning protocol works collaboratively with the communication modules to ensure that each window unit 101 adjusts its position in a way that complements the others, creating a unified and balanced environmental control across the enclosure 102. For example, if one window unit 101 needs to open slightly to increase airflow, the processing unit communicates this need to the other window units 101 via communication module. This ensures that the other window units 101 make the necessary adjustments to maintain overall airflow and temperature balance.

[0046] Through this network, each window unit 101 shares its own sensor data and receive data from other window units 101. This shared data enables the window units 101 to develop a comprehensive understanding of the indoor environment and make informed decisions about their own operation. By coordinating their actions, the window units 101 achieves a level of environmental control that is impossible for individual window units 101 to achieve on their own. For example, if one window unit 101 detects a sudden increase in outdoor temperature, it shares this data with other window units 101, which then adjust their positions to reduce heat gain and maintain a comfortable indoor temperature. Similarly, if one window unit 101 detects a decrease in indoor air quality, it coordinates with other window units 101 to increase ventilation and remove pollutants from the air.

[0047] A second sensing module 105 integrated into each window unit 101, which is designed to monitor a range of indoor environmental parameters, including humidity levels, carbon dioxide concentration, and other particulate matter or gas concentrations within the enclosure 102. The second sensing module 105 includes a humidity sensor, and an air quality sensor.

[0048] The humidity sensor mentioned herein is typically a capacitive humidity sensors, which consist of two conductive plates separated by a dielectric material. The dielectric material is usually a hygroscopic substance that absorbs or releases moisture as the humidity level changes. As the humidity level increases, the dielectric material absorbs more moisture, causing the capacitance between the plates to increase. This change in capacitance is proportional to the humidity level.

[0049] Synchronously, the air quality sensor is typically an optical air quality sensors, which uses light to measure the concentration of pollutants and gases. These sensors typically consist of a light source, a detector, and a light path. When a pollutant or gas is present in the air, it absorbs or scatters light in a specific way. The detector measures the changes in light intensity or wavelength, which are proportional to the concentration of the pollutant or gas.

[0050] The collected data from the second sensing module 105 is processed by the processing unit to continuously adjust the positions of the window units 101. For example, if the indoor humidity level rises above a certain threshold, the processing unit instruct the window units 101 to open slightly to allow drier air to enter and reduce the humidity level. Similarly, if the carbon dioxide concentration increases, the processing unit adjust the window unit 101 positions to increase ventilation and remove excess carbon dioxide.

[0051] The system maintains a balanced and dynamic indoor environment by continuously monitoring and responding to changes in environmental conditions that supports occupant health, comfort, and productivity.

[0052] A user-friendly interface that is inbuilt in a computing unit, allowing concerned individuals to remotely monitor and control the window units 101. The computing unit providing a convenient and intuitive way for users to interact with the window units 101. Through this interface, individuals access a range of features and functions that enable them to customize and optimize the performance of the window units 101.

[0053] The user-interface allow the individual to manually override automatic settings. This allows individuals to take control of the window units 101 and adjust their positions to suit their specific needs and preferences. For example, if an individual wants to open a window unit 101 to let in some fresh air, they simply use the interface to override the automatic settings and adjust the window unit's position accordingly. This level of control and flexibility is particularly useful in situations where the automatic settings might not be optimal, such as during unusual weather patterns or when the building is occupied by a large number of people.

[0054] The window units 101 in the system are specifically designed to be retrofit into existing window structures, which means that the window units 101 get easily integrated into pre-existing buildings, without requiring extensive renovations or replacements. The retrofitting capability of the window units 101 provides a scalable and non-invasive solution for enhancing indoor climate control.

[0055] The ability to retrofit the window units 101 into existing window structures offers several benefits. Firstly, it reduces the need for costly and time-consuming renovations, making it a more affordable solution for building owners and managers. Secondly, it minimizes disruption to occupants, as the installation process is relatively quick and straightforward. Finally, the retrofitting capability enables the window units 101 to be easily scaled up or down, depending on the specific needs of the building.

[0056] A battery is associated with the system to supply power to electrically powered components which are employed herein. The battery is comprised of a pair of electrode named as a cathode and an anode. The battery uses a chemical reaction of oxidation/reduction to do work on charge and produce a voltage between their anode and cathode and thus produces electrical energy that is used to do work in the system.

[0057] The present invention works best in following manner, where the process begins by sensing environmental conditions through its first sensing module 103 and second sensing module 105. The first sensing module 103, comprising an airflow meter and a temperature sensor, measures airflow entering the window units 101 and indoor and outdoor temperatures. Simultaneously, the second sensing module 105, which includes a humidity sensor and an air quality sensor, monitors indoor humidity levels, carbon dioxide concentration, and other particulate matter or gas concentrations. The collected data from both sensing modules 103, 105 are then processed by the processing unit associated with the system. This processing unit analyzes the data and determines the optimal opening and closing positions for each window unit 101. This data is transmitted wirelessly via Bluetooth communication module to the processing unit, which uses machine learning protocol to analyze trends and determine optimal window unit 101adjustments. Based on this analysis, the servo motor 104 integrated into each window unit 101 adjusts the opening and closing angle to maintain ideal airflow and temperature. The communication modules allow each window unit 101 to share its position with others, ensuring synchronized adjustments across all window unit 101. For example, if one window unit 101 opens to improve airflow, others adjust accordingly to maintain a balanced environment. The system also allows for remote monitoring and control through a user-interface inbuilt in a computing unit. Concerned individuals access this interface to manually override automatic settings, view real-time environmental data, and adjust the window units 101 as needed. Ultimately, the system continuously adjusts the positions of the window units 101 in response to changes in environmental conditions. This maintains a balanced and dynamic indoor environment, providing optimal indoor temperature and airflow, thereby enhances occupant comfort, health, and productivity while reducing energy consumption and environmental impact.

[0058] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) An adaptive window system for real-time indoor environment optimization, comprising:

i) plurality of window units 101 associated with said system pre-installed in an enclosure 102, wherein each window unit 101 comprises of a first sensing module 103 to measure airflow entering through said window units 101 and measure indoor and outdoor temperatures near said window units 101;

ii) a processing unit associated with said system enables communication between each window units 101, wherein said processing unit based on said measured airflow and indoor/outdoor temperatures commands a servo motor 104 integrated with each of said window units 101 to control opening and closing angle of said window units 101 in view of adjusting said units 101 in a manner, that said enclosure receives optimal amount of airflow along with maintenance of desired temperature;

iii) a communication module integrated with each of said window units 101, paired with said processing units is dedicated towards establishment of communication between each of said units 101, wherein one of said communication module shares said opening and closing angle with other communication modules integrated with rest of said window units 101 to adjust angle of opening and closing of said rest window units 101 in view of maintaining an optimal balance of indoor temperature and airflow inside said enclosure;

iv) a second sensing module 105 integrated with said window units 101 to monitor indoor humidity levels, carbon dioxide concentration and other particulate matter or gas concentrations in said enclosure 102, wherein said collected data is processed by said processing unit to continuously adjust positions of said window units 101, in response to changes in environmental conditions, maintaining a balanced and dynamic indoor environment; and

v) a user-interface inbuilt in a computing unit accessed by concerned individual(s), wherein said computing unit allows individual(s) to remotely monitor and control said window units 101, including manual override of automatic settings and ability to view real-time environmental data.

2) The system as claimed in claim 1, wherein said first sensing module 103 includes an airflow meter and a temperature sensor.

3) The system as claimed in claim 1, wherein said second sensing module 105 includes a humidity sensor, and an air quality sensor.

4) The system as claimed in claim 1, wherein each window unit 101 adjusts its position by altering angle of opening, driven by said servo motor 104, to achieve optimal airflow and temperature control based on data received from other window units 101.

5) The system as claimed in claim 1, wherein said processing unit employs a machine learning protocol that helps in collective decision-making between said window units 101 to ensure that each window opens or closes to a position that maintains optimal indoor temperature and airflow, providing a unified and balanced environmental control.

6) The system as claimed in claim 1, wherein said window units 101 are designed to be retrofit into existing window structures, thereby providing a scalable and non-invasive solution for enhancing indoor climate control in pre-existing buildings.

7) The system as claimed in claim 1, wherein a battery is associated with said system for powering up electrical and electronically operated components associated with said system.