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ECOVUE: A SYSTEM FOR ADAPTIVE ENVIRONMENTAL COMFORT WITH IOT-ENABLED SMART WINDOW CONTROL
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ORDINARY APPLICATION
Published
Filed on 8 November 2024
Abstract
The present invention provides a method and system for automated window control aimed at optimizing environmental conditions through sensor-based decision-making and integration with a Building Management System (BMS). The process begins with initialization (100), where sensors are initialized (101), sensor data is collected (102), and pre-processed (103) to eliminate noise. In the analysis and decision phase (104), the system analyses the sensor data (105) to determine the appropriate window operation by deciding the window closure (106) based on environmental conditions. In the execution phase (107), the system initiates window closure (108) and adjusts window positions (109) using actuators for precise control. The feedback and monitoring phase (110) ensures operational accuracy by monitoring effectiveness (111), verifying window positions (112), and detecting anomalies (113) to ensure smooth functioning. A user interface (114) enables users to configure settings (115) and monitor system status (116), offering real-time control and status updates. The system further integrates with a BMS (118) by enabling centralized control (117), aligning window operations with other building systems such as HVAC and lighting, ensuring improved energy efficiency and environmental management. This invention offers a comprehensive and autonomous solution for window control, improving comfort, energy optimization, and operational reliability through seamless integration and real-time monitoring.
Patent Information
Application ID | 202411085750 |
Invention Field | MECHANICAL ENGINEERING |
Date of Application | 08/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr. Shivani Sood | Lovely Professional University, Delhi Jalandhar GT Road Phagwara- 144411. | India | India |
Dr. Pritpal Singh | Lovely Professional University, Delhi Jalandhar GT Road Phagwara- 144411. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Lovely Professional University | Lovely Professional University, Delhi Jalandhar GT Road Phagwara- 144411. | India | India |
Specification
Description:The following specification particularly describes the invention and the manner in which it is to be performed.
CROSS-REFERENCE TO RELATED APPLICATIONS AND PRIORITY
[001] The present invention relates to a system for adaptive environmental comfort with IoT-Enabled Smart Window Control which leverages intelligent sensors and automation to optimize indoor environments by dynamically adjusting window operations. This system monitors factors like temperature, humidity, light, and air quality, ensuring energy-efficient comfort while responding to real-time environmental changes. Through IoT integration, users can remotely manage settings, enhancing both convenience and sustainability.
TECHNICAL FIELD
[002] The present invention relates to the field of smart building technologies and environmental automation systems, specifically focusing on adaptive comfort management through automated control of windows. It integrates Internet of Things (IoT) technology with sensors to monitor environmental parameters such as temperature, humidity, light intensity, and air quality. The system optimizes indoor comfort by automatically adjusting window openings or closures based on real-time conditions, promoting energy efficiency and sustainable building management. It finds applications in residential, commercial, and industrial spaces.
BACKGROUND
[003] Traditional HVAC (Heating, Ventilation, and Air Conditioning) systems consume significant energy, contributing to high operational costs and environmental impact. Passive cooling techniques, like natural ventilation, are often underutilized despite their potential to enhance energy efficiency. There is a growing need for systems that intelligently integrate natural ventilation with automated windows to maintain optimal indoor comfort, reducing energy reliance. An adaptive system that leverages IoT-enabled controls can bridge this gap by automating window operations in response to real-time environmental conditions.
[004] Manually controlling windows for ventilation and temperature regulation can be inefficient and inconvenient, especially in large spaces or multi-zone buildings. Environmental factors such as fluctuating temperatures, humidity, and air quality demand frequent adjustments, which are often overlooked or inconsistently managed. This lack of precision may result in discomfort or energy wastage. Therefore, there is a need for an automated solution that can precisely monitor and manage these variables without human intervention, ensuring a comfortable indoor environment.
[005] The rapid development of IoT-based systems has transformed various aspects of building management, enabling smarter and more connected spaces. Sensors that monitor environmental parameters, cloud-based data processing, and smartphone control interfaces have improved the scope of smart systems. Despite the availability of these technologies, their potential for managing adaptive indoor environments through automated window control remains underexploited. Leveraging IoT for window control offers not only user convenience but also energy savings through real-time environmental adjustments.
[006] Indoor air quality is a critical factor influencing occupant health, productivity, and comfort. Poor ventilation may lead to the accumulation of pollutants, allergens, and CO2, causing discomfort or health issues. Traditional HVAC systems may not sufficiently address this, especially in spaces that could benefit from natural airflow. Automated smart windows, integrated with air quality sensors, can respond to indoor pollution levels by adjusting openings to ensure a continuous flow of fresh air, enhancing both well-being and comfort.
[007] With rising environmental concerns, sustainable building management practices are gaining importance across residential, commercial, and industrial sectors. Governments and organizations are increasingly adopting energy-efficient technologies to reduce carbon footprints. Adaptive environmental systems that minimize the reliance on mechanical cooling while promoting natural ventilation align with these sustainability goals. The development of a smart, automated window control system represents a step toward creating eco-friendly, energy-efficient buildings that balance comfort and environmental responsibility.
[008] JP-2022061648-A relates to a system for supporting a shared office matching service, which is managed by a service provider who plays an intermediary role between a facility provider who owns a facility and a facility user who wishes to use the facility, and items of equipment corresponding at least some of management items for the facility that the facility user wishes to use are placed in the facility. The system of the service provider includes: an output unit which outputs the management conditions of the management items to the facility user; and a user selection operation recognizing unit which displays the levels of matching between the specifications of the equipment items and the specifications of the management items for each facility and receives an operation for selecting the facility performed by the facility user. However, implementing the system requires multiple sensors, actuators, and a control interface, resulting in higher installation and equipment costs compared to traditional window systems. Moreover, Seamless integration with existing BMS frameworks may require advanced customization, software compatibility checks, and significant programming efforts, making deployment complex and time-consuming. While JP-2022061648-A focuses on a matching service between facility providers and users, it primarily relies on user inputs for facility selection and equipment management. In contrast, invention operates independently by continuously monitoring environmental conditions through sensors and making decisions autonomously. This reduces user dependency and ensures immediate response to environmental changes, such as temperature fluctuations or air quality issues, which enhances comfort, energy efficiency, and system reliability without requiring manual user intervention.
[009] CN-202410267376-A details an intelligent office control terminal system within the new information technology field. The system includes an environment monitoring system, device control system, central processing unit, remote communication system, and user interaction system. The central processing system oversees the device control system based on data from the environment monitoring system, displaying the data and device status via the user interaction system's display module or transmitting it remotely. The system collects real-time environmental data which is sent to the central processing system through the remote communication system. The central processing system then manages the device control system based on this data, facilitating intelligent office environment management. Users can monitor environmental data and control equipment through a personalized user interaction system. The system depends significantly on a remote communication network to relay real-time environmental data and operational statuses between modules. Network interruptions or delays can result in the central processing system receiving outdated or incomplete data, leading to incorrect equipment control and decreased efficiency. Although the system offers personalized control via the user interaction system, it still requires users to monitor environmental data and adjust equipment as needed, reducing automation and adding user responsibility. Unlike CN-202410267376-A, which necessitates frequent user monitoring and control, our invention autonomously analyses sensor data, makes decisions, and executes window control actions without manual input. This ensures real-time responsiveness to environmental changes, providing a more seamless and efficient system that enhances user comfort and energy management with minimal user intervention.
[0010] The present invention addresses the above shortcomings of the prior art. However, the present invention is entirely different from the prior art in terms of novelty and technological advancement.
OBJECT
[0011] A primary object of the invention is to provide a system for adaptive environmental comfort that autonomously monitors and controls windows based on real-time environmental conditions. By using sensors to track parameters like temperature, humidity, air quality, and light intensity, the system dynamically adjusts window positions to maintain optimal comfort levels. This eliminates the need for manual interventions and ensures precise regulation of indoor environments. The system offers seamless integration with other HVAC and smart building components, enabling efficient coordination between natural ventilation and mechanical systems to enhance occupant comfort while reducing energy consumption.
[0012] Another object of the invention is to promote energy-efficient building management by optimizing the use of natural ventilation and daylight. The system minimizes the reliance on mechanical cooling and lighting by strategically adjusting window operations to allow airflow and light whenever environmental conditions permit. By integrating IoT-based automation with real-time environmental monitoring, the invention reduces operational costs and carbon footprints, contributing to sustainable building practices. Additionally, the system supports remote management via mobile applications, empowering users to actively monitor and control their energy usage, thus fostering both eco-friendly practices and long-term energy savings.
SUMMARY
[0013] The system automatically adjusts window operations based on real-time environmental conditions such as temperature, humidity, light intensity, and air quality. This ensures a comfortable indoor environment without requiring manual intervention, promoting occupant well-being.
[0014] The invention integrates IoT sensors and smart algorithms to continuously monitor environmental parameters and make precise adjustments to window openings. This allows seamless automation and remote control through mobile apps or connected devices.
[0015] By maximizing the use of natural ventilation and daylight, the system minimizes dependency on HVAC systems and artificial lighting, enhancing energy efficiency and reducing operational costs.
[0016] The system helps maintain optimal indoor air quality by adjusting windows to allow fresh air circulation when pollutant levels rise. This reduces the buildup of CO2 and allergens, contributing to a healthier indoor environment.
[0017] The invention is suitable for diverse settings, including homes, offices, and factories, providing tailored solutions for environmental comfort and energy management. Its scalability makes it adaptable to both small-scale and large-scale buildings.
BRIEF DESCRIPTION
[0018] The invention provides a smart window control system that adjusts window positions based on real-time environmental data, such as temperature, humidity, air quality, and light intensity, to maintain optimal indoor comfort.
[0019] It leverages IoT sensors and automation algorithms to continuously monitor environmental conditions and autonomously control window operations, with options for remote management through mobile applications or cloud platforms.
[0020] The system reduces energy consumption by promoting natural ventilation and daylight use, minimizing reliance on HVAC systems and artificial lighting, and supporting sustainable building practices.
[0021] By ensuring proper air circulation and maintaining good indoor air quality, the system enhances occupant health and comfort, making it ideal for residential, commercial, and industrial environments.
[0022] FIG 1: Illustrates a flow chart showing the methodological framwork of process.
[0023] FIG 2: Illustrates the process Proposed Framework of EcoVue.
DETAILED DESCRIPTION
[0024] The invention features a smart window control system that dynamically adjusts window positions to maintain indoor comfort. Using data from environmental sensors, the system opens or closes windows based on factors like temperature, humidity, light intensity, and air quality. This adaptive mechanism ensures that occupants experience optimal thermal and visual comfort, eliminating the need for frequent manual adjustments. The windows can also be scheduled to operate at specific times, promoting natural ventilation during cooler periods or at night.
[0025] The system incorporates IoT sensors to monitor environmental conditions both indoors and outdoors. Parameters such as CO2 concentration, air pollution levels, sunlight exposure, and temperature are processed through a central control unit that automates window operations. Users can access the system remotely via a smartphone app or web interface, receiving real-time alerts and making manual overrides if needed. The integration of cloud connectivity also allows data logging and predictive adjustments, enhancing system efficiency.
[0026] By utilizing natural ventilation and daylight when conditions are favorable, the system reduces the reliance on HVAC units and artificial lighting, leading to significant energy savings. The smart control algorithm ensures that windows close during extreme heat or cold to conserve energy, while also preventing unnecessary cooling or heating. This energy-efficient approach aligns with sustainable building practices and contributes to reducing the carbon footprint of buildings, making it particularly useful in eco-friendly architecture and green building projects.
[0027] The system actively monitors indoor air quality by measuring CO2, particulate matter, and humidity levels. When pollutants accumulate indoors, the windows open automatically to allow fresh air circulation, ensuring a healthier living or working environment. This feature is particularly beneficial in urban areas where indoor spaces often suffer from poor air quality. The system ensures that windows remain closed when outdoor pollution levels are high, balancing airflow management with safety.
[0028] The smart window control system is designed for residential, commercial, and industrial spaces. In homes, it enhances comfort and energy efficiency, while in offices, it supports productivity through better air quality and ventilation. In industrial settings, the system can optimize indoor environments for workplace safety and energy savings. The scalability of the design makes it adaptable to both small-scale and large-scale installations, providing a versatile solution for various environments and building sizes.
[0029] In an embodiment, such as FIG. 1 flow chart of the process is depicted which represents the methodological framework of the process.
[0030] In another embodiment, such as FIG. 2 depicts a proposed Eco Vue framework of the process. Reduced Energy Consumption is achieved by optimizing natural light and ventilation, EcoVue minimizes the need for artificial lighting and HVAC systems, leading to significant energy savings. Decreased energy use contributes to reduced greenhouse gas emissions. Enhanced Comfort: Personalized settings improve indoor comfort, making spaces more enjoyable for occupants. Users gain insights into their energy consumption habits and comfort preferences, encouraging more sustainable behaviours. Cost Savings: Reduced energy bills and potential government incentives for energy-efficient technologies can provide financial benefits to users. Smart home features can enhance property appeal, leading to higher market value.
[0031] The flowchart outlines an automated window control process, focusing on efficient decision-making, execution, and feedback. The inclusion of user control and BMS integration enhances flexibility and operational coherence within the building.
[0032] This phase begins with the setup of sensors and data collection mechanisms, ensuring the system is ready for operation. The initialize sensors (101) comprise of all relevant sensors, such as those measuring environmental conditions (temperature, air quality, light intensity, etc.), are activated and calibrated for accurate readings.
[0033] Sensor (102) continuously captures environmental or operational parameters to be analysed later. Sensor (103) preprocesses raw sensor data which is filtered and formatted, ensuring noise reduction and compatibility with the analysis algorithms.
[0034] Sensor (105) evaluates the inputs to identify patterns, trends, or triggers. For example, rising indoor temperatures may prompt window adjustments. Sensor (106) determines window closure Based on predefined thresholds or conditions, the system decides whether windows need to be closed or opened, either partially or fully, to maintain optimal environmental conditions.
[0035] The execution block (107) comprises window closure (108) which sends commands to actuators or motors to begin the window-closing process. The Adjust window positions (109) fine-tunes the window positions that is performed to achieve the desired state, based on the environmental conditions.
[0036] The Feedback & Monitoring Block (110) control monitor effectiveness (111) of window movements on environmental conditions which is tracked to assess if the intended results are achieved.
[0037] The system cross-checks the actual window positions (112) with the expected ones to confirm alignment with the commands. Any discrepancies, malfunctions, or unexpected behaviour is detected by detector (113) which are flagged for further investigation or corrective action. The user interface (114) allows users to configure settings and monitor the system in real-time.
[0038] Users can modify operational parameters, thresholds, or modes (e.g., manual, automatic) through the user interface (115). Real-time updates on the system's operation, including window positions and environmental conditions, are displayed for user awareness (116). Integration with BMS (Building Management System) Block (118) control system seamlessly and integrates with a centralized control infrastructure. The system communicates with the BMS to align window operations with other building systems, such as HVAC, lighting, and security, ensuring holistic building management (117).
[0039] In yet another embodiment, the above disclosure is a description of the invention and is not intended to limit the scope of the invention. Other variations and modifications of the above-described embodiment shall be apparent to those skilled in the art and are intended to fall within the scope of the invention as defined in the following claims.
, Claims:1. A method for automated window control, comprising:
a) initializing sensors(100);
b) collecting sensor data(102);
c) preprocessing sensor data to reduce noise(103) and prepare for analysis;
d) analysing sensor data and determining whether window closure (104) is required based on predefined environmental conditions.
2. The method of claim 1, wherein the step of initializing sensors (101) includes activating sensors capable of detecting environmental conditions such as temperature, humidity, air quality, and light intensity.
3. The method of claim 1, wherein the preprocessing of sensor data (103) includes filtering raw data and normalizing it for compatibility with a window control algorithm.
4. A method for determining window operation, comprising:
a) analysing the collected sensor data(105) to identify environmental changes; and
b) making a decision to close or adjust window positions(106) based on the analysed data.
5. The method of claim 4, wherein the analysis step (105) utilizes machine learning algorithms or predefined rules to optimize window positions for maintaining ambient conditions.
6. The method of claim 1, further comprising executing window control actions by:
a) initiating the window closure process(108); and
b) adjusting window positions(109) in real-time based on environmental feedback.
7. The method of claim 6, wherein the adjustment of window positions (109) is achieved through the use of automated actuators controlled by a feedback loop.
8. A method for feedback monitoring and anomaly detection, comprising:
a) monitoring the effectiveness (111) of the window closure or adjustment;
b) verifying actual window positions(112) against intended positions; and
c) detecting any anomalies(113) or operational failures during the process.
9. The method of claim 8, wherein any detected anomaly (113) triggers an alert to notify the user via a connected user interface.
Documents
Name | Date |
---|---|
202411085750-COMPLETE SPECIFICATION [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-DECLARATION OF INVENTORSHIP (FORM 5) [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-DRAWINGS [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-EDUCATIONAL INSTITUTION(S) [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-FORM 1 [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-FORM FOR SMALL ENTITY [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-FORM FOR SMALL ENTITY(FORM-28) [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-FORM-9 [08-11-2024(online)].pdf | 08/11/2024 |
202411085750-REQUEST FOR EARLY PUBLICATION(FORM-9) [08-11-2024(online)].pdf | 08/11/2024 |
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