SMART AID DUSTER-IOT ENABLED FRAMEWORK FOR SMART BLACKBOARD CLEANING

Abstract

SMART AID DUSTER-IoT ENABLED FRAMEWORK FOR SMART BLACKBOARD CLEANING ABSTRACT: The "Smart Aid Duster" is an innovative automated cleaning solution designed to enhance blackboard maintenance in educational and professional environments. By integrating advanced sensor technology, including infrared and IoT capabilities, the system accurately detects dust accumulation and optimizes cleaning cycles in real time. The blackboard is divided into four targeted zones, allowing for efficient cleaning focused on areas with the highest dust concentration, thereby maximizing resource usage and energy efficiency. A user-friendly mobile application facilitates remote monitoring and control, providing insights into dust levels and system status without requiring technical expertise. Additionally, the implementation of predictive maintenance through data analytics ensures proactive system management, minimizing mechanical failures and extending the lifespan of components. By addressing the health risks associated with chalk dust and improving air quality, the "Smart Aid Duster" represents a significant advancement in automated cleaning technology, promoting cleaner and healthier environments while reducing the manual effort traditionally required for blackboard maintena

Specification

FORM 2
THE PATENTS ACT,
1970 (39 of 1970)
PROVISIONAL/ COMPLETE SPECIFICATION
(See section 10 and rule 13)

1. TITLE OF THE INVENTION :
SMART AID DUSTER -IoT ENABLED FRAMEWORK FOR SMART BLACKBOARD CLEANING

APPLICANT(S)
(a) NAME : SRI SAI RAM INSTITUTE OF TECHNOLOGY
(b) NATIONALITY : INDIAN
(c) ADDRESS : Sri Sai Ram Institute of technology,
Sai Leo Nagar, West Tambaram,
Chennai - 600044
(a) NAME : SANJAY SARUK J
(b) NATIONALITY: INDIAN
(c) ADDRESS : Sri Sai Ram Institute of technology,
Sai Leo Nagar, West Tambaram,
Chennai - 600044

(a)
NAME :
(b)
NATIONALITY :
(c)
ADDRESS :
HARISH V
INDIAN
Sri Sai Ram Institute of technology, Sai Leo Nagar, West Tambaram, Chennai - 600044
(a) NAME :
(b) NATIONALITY :
DAM A VISHNU
INDIAN
(c) ADDRESS :
Sri Sai Ram Institute of technology, Sai Leo Nagar, West Tambaram, Chennai - 600044
(a) NAME :
(b) NATIONALITY :
D.MURUGA RADHA DEVI
INDIAN
(c) ADDRESS :
Sri Sai Ram Institute of technology,
Sai Leo Nagar, West Tambaram,
Chennai - 600044

(a)NAME ; V.BRINDHA DEVI
(b)NATIONALITY : INDIAN
(c)ADDRESS : Sri Sai Ram Institute of technology,
Sai Leo Nagar, West Tambaram, Chennai - 600044

3. PREAMBLE TO THE DESCRITION
PROVISIONAL
The------ following------ specification
describesinventiofh
COMPLETE
The following specification particularly
describes the invention and the manner in
which it is to be performed
4. DESCRIPTION (Description shall start from next
page) Annexed along with this form.
5. CLAIMS (not applicable for provisional specification. Claims should start with the
preamble - "I/We claim" on separate page)
Annexed along with this form.
6. DATE AND SIGNATURE ( to be given on the last page of specification) Given at the end of specifications.

7. ABSTRACT OF THE INVENTION (to be given along with complete specification on the separate page)
Given at the end of specifications.
Note:
*Repeat boxes in case of more than one entry
*To be signed by the applicant(s)or the authorized registered patent agent
*Name of the applicant should be given in full, family name in the beginning
*Complete address of the applicant should be given stating with postal index no. / code, state and country
*Strike out the column which is/are not applicable

FORM-2
THE PATENTS ACT, 1970
(39 OF 1970)
THE PATENTS RULES, 2003
COMPLETE SPECIFICATION
(Section 10; rule 13)
SMART AID DUSTER -IoT ENABLED FRAMEWORK FOR SMART
BLACKBOARD CLEANING

APPLICANT NAME: Sri Sai Ram Institute of Technology
NATIONALITY: Indian
ADDRESS: Sai Leo Nagar, West Tambaram. Chennai.

The following specification particularly emphasizes the invention and the way in which it is to be performed:

Field of the Invention :
The invention of "Smart Aid Duster" integrates vacuum technology and mobile app control for automated blackboard cleaning and dust collection. It includes a vacuum mechanism, storage container, manual and mobile control options, and the ability to target specific sections of the board for cleaning..The present invention relates to an automated and intelligent blackboard cleaning system. Specifically, it pertains to a duster equipped with a vacuum mechanism to absorb dust particles generated during the erasing process, with a storage unit for collected dust. It also incorporates manual and mobile app-based control, allowing the user to target specific portions of the blackboard for cleaning. This invention is applicable in educational institutions, conference rooms, and any environment where traditional blackboards are used, offering a smart, eco-friendly solution to minimize chalk dust exposure and enhance cleaning efficiency.

Background of the Invention :
Chalkboards, still widely used in educational institutions, produce chalk dust that poses health risks like respiratory irritation and worsens indoor air quality. Traditional cleaning methods, such as manual dusting, are inefficient and fail to fully capture dust particles. Alternatives like dustless chalk and chemical agents have seen limited success due to inconsistent results and higher costs. The "Smart Aid Duster" fills the technological gap by integrating a vacuum-based dust collection system that efficiently captures dust in a sealed chamber during the erasure process. With manual and mobile app controls, users can target specific sections of the board, improving cleanliness, reducing health hazards, and providing a more efficient solution to blackboard cleaning.

Summary of the Invention :
The "Smart Aid Duster" is an advanced automated blackboard cleaning system that integrates cutting-edge vacuum technology with precise control mechanisms to transform traditional erasure methods. Designed to address the significant health risks posed by airborne particulate matter from chalk dust, the system features a high-efficiency vacuum-driven dust extraction unit that captures and isolates dust in a hermetically sealed containment chamber, preventing its dispersion into the air and improving indoor air quality. This mitigates common health concerns such as respiratory issues, allergies, and the exacerbation of asthma associated with chalk dust exposure in educational and professional settings. The system offers dual control modes-manual for traditional use and mobile app-based for remote precision control-allowing users to clean specific sections of the blackboard, which is divided into four zones (0-25%, 25-50%, 50-75%, 75-100%). This zonal cleaning feature optimizes time and energy consumption by enabling targeted cleaning when full board erasure is unnecessary. The app provides real-time control, making it especially useful in dynamic environments like classrooms and presentations. Additionally, the "Smart Aid Duster" reduces direct exposure to chalk dust, creating a cleaner and safer environment while preventing dust accumulation on surfaces. The system's vacuum mechanism securely stores the dust, ensuring an eco-friendly approach to disposal. By automating the labor- intensive task of blackboard cleaning, it minimizes manual effort, saving time and increasing efficiency, especially in schools, offices, and other institutions where blackboards are frequently used. Its integration with IoT-enabled mobile controls aligns with modem smart technology trends, offering significant health and environmental benefits. Overall, the "Smart Aid Duster" provides a scalable, user- friendly solution that enhances operational efficiency, hygiene, and sustainability, making it an ideal tool for improving blackboard maintenance in educational and professional spaces.

Objectives :
• Develop an automated blackboard cleaning system that integrates a vacuum mechanism to efficiently capture and contain chalk dust particles in real time.
• Enable precise, section-based cleaning by dividing the blackboard into four distinct zones (0-25%, 25-50%, 50-75%, 75-100%) for targeted erasure.
• Implement mobile application control for remote operation, allowing users to selectively erase specific sections of the blackboard with precision.
• Design a sealed dust collection chamber to securely contain chalk dust, preventing its release into the environment and improving indoor air quality.
• Utilize IoT-enabled connectivity to facilitate seamless communication between the mobile application and the cleaning system for real-time operation.
• Ensure efficient dust capture through the integration of a high-efficiency vacuum system, reducing airborne particulate matter during the erasure process.
• Develop an intuitive user interface that provides real-time monitoring and control of the cleaning system for both manual and automated operation modes.
• Enhance classroom and workspace hygiene by minimizing user exposure to harmful chalk dust, contributing to a healthier learning and working environment.
• Improve operational efficiency by automating the traditionally manual task of blackboard cleaning, reducing time and labor requirements.
• Promote sustainability and cleanliness by integrating an eco-friendly dust disposal system, reducing chalk dust accumulation in classrooms and other spaces.

Brief Description of the Drawing
Figure.1. System Architecture: The system architecture acts as the core of the "Smart Aid Duster," managing real-time data from the duster and sensor modules. Preprogrammed algorithms process data regarding chalkboard sections, user input, and operational status, enabling efficient control of the erasure and vacuum mechanisms. The mobile app interface provides real-time insights, allowing users to remotely control the system and make informed decisions regarding targeted cleaning, all coordinated by the central control unit for seamless operation.

Figure.2. Arduino uno: The Arduino Uno, powered by the ATmega328P microcontroller, features versatile digital and analog I/O interfaces for seamless integration with sensors, actuators, and control systems. It handles real-time processing of sensor inputs and command execution via its USB programming interface, optimizing system automation and control with precision.

Figure. 3. Circuit diagram for Smart Aid Duster connected with Arduino
UNO:
The circuit connectivity of the "Smart Aid Duster" is structured to integrate multiple components working in sync to achieve automated and efficient
blackboard cleaning. The system's power supply is provided by a 12V SMPS (Switched Mode Power Supply), which ensures stable and sufficient power
distribution to all components, including the motors, microcontroller, and sensors.
The SMPS is directly connected to the L298N motor controller, a dual H-Bridge controller that drives the 60 RPM DC motors. These motors are responsible for the physical movement of the duster across the blackboard, allowing precise erasing action.

The L298N motor controller is interfaced with the Arduino Uno, which acts as the system's central controller, managing all signals and decision-making processes. The Arduino receives input from an IR sensor that continuously monitors dust
levels on the blackboard. When the IR sensor detects the accumulation of dust, it sends data to the Arduino, which processes this information and decides whether to initiate the duster's cleaning mechanism. The motor controller then activates the
motors based on these commands from the Arduino, enabling smooth, targeted cleaning of the board.

The system is also equipped with an HC-05 Bluetooth module that allows for wireless communication between the Arduino and a mobile device. Through this module, users can remotely control the duster's operation using a mobile application, providing options to start or stop cleaning, or target specific sections of the blackboard.

In addition to controlling the motors, the Arduino also manages the relay module, which is used to switch the vacuum system on and off. The relay is connected between the Arduino and the vacuum motor, ensuring that the vacuum activates when dust levels are high or when cleaning is manually triggered via the mobile app. The vacuum system is responsible for collecting dust particles as the duster moves across the board, preventing them from dispersing into the air and ensuring a cleaner environment.

All these components-SMPS, L298N motor controller, Arduino Uno, IR sensor, Bluetooth module, relay, and vacuum system-are interconnected via a breadboard for ease of assembly and prototyping. The breadboard ensures that power and control signals are distributed correctly, enabling the entire system to function seamlessly. This circuit design allows for efficient blackboard cleaning through a combination of real-time sensor data, automated motor control, and remote operation via a mobile app, ensuring both flexibility and ease of use.

Figure. 4. Smart Aid Duster: The "Smart Aid Duster" project integrates multiple components to create an efficient, automated system for blackboard cleaning. At the core of the system is the Arduino Uno, a microcontroller responsible for managing the overall functionality and communication between the various components. The Arduino Uno receives inputs from sensors, processes these inputs, and sends control signals to the output devices, such as motors and the vacuum system.

For the movement of the duster, the system uses aDC motor controlled by an L298N motor controller. The L298N is a dual H-Bridge controller that allows the Arduino to control the direction and speed of the motors by sending signals through its input pins. This motor control enables the duster to move across the blackboard in a targeted manner, efficiently erasing specific sections as needed. The motor controller receives power from a 12V SMPS (Switched-Mode Power Supply), ensuring that the motors have a steady power supply for smooth operation.

The cleaning process is further enhanced by an IR sensor. The sensor is strategically placed to detect dust levels on the blackboard. It continuously sends data to the Arduino, which processes this information and triggers the cleaning action when the dust levels exceed a predefined threshold. This allows the system to operate autonomously, initiating the duster movement only when necessary, optimizing energy consumption and wear on the motors.

In addition to automated control, the system can be operated manually through a Bluetooth HC-05 module. This module enables wireless communication between the Arduino and a mobile device via Bluetooth. Users can control the duster remotely using a mobile application, giving them the flexibility to initiate or halt the cleaning process, and even direct the duster to clean specific sections of the blackboard. The app divides the board into four sections, allowing precise control over which areas should be cleaned.

To prevent dust from spreading into the environment, the project incorporates a vacuum system, controlled by a relay module. The relay acts as an electronic switch that is triggered by the Arduino when dust levels are detected or when a user manually activates the cleaning process through the app. The relay powers the vacuum system, which collects dust as the duster moves across the blackboard, ensuring a clean and dust-free operation. This vacuum mechanism is essential for reducing airborne dust and maintaining a healthier environment, especially in classrooms or offices.

All these components-Arduino Uno, L298N motor controller, DC motors, IR sensor, Bluetooth module, relay, and vacuum system-are interconnected on a breadboard. The breadboard simplifies the connection of wires and components, allowing for easier assembly and troubleshooting. It also ensures smooth communication and power distribution between the components, making the system modular and easy to adapt during development.

Figure. 5. Mobile Application: The mobile application for the "Smart Aid Duster" features a section-wise division interface, allowing users to control the cleaning process by targeting specific portions of the blackboard. The app divides the board into four zones: 0-25%, 25-50%, 50-75%, and 75-100%, enabling precise and selective cleaning. Users can activate the cleaning or vacuum system for individual sections as needed, optimizing resource use and improving efficiency. The app provides real-time feedback on the status of each section, ensuring thorough and customizable cleaning, tailored to the dust accumulation in each zone.

Introduction:
The "Smart Aid Duster" is a cutting-edge solution designed to automate chalk dust removal from blackboards in educational and professional environments. Utilizing an Arduino Uno microcontroller and infrared sensors, this system monitors dust levels in real time and activates when necessary. The 60 RPM DC motor enables efficient navigation across the board, while the HC-05 Bluetooth module facilitates remote control via a mobile application. By minimizing manual labor and enhancing air quality, the duster addresses health risks associated with chalk dust. This innovative device merges advanced technology with user-friendly functionality, promoting cleaner and healthier spaces for learning and collaboration.

Technological Components:
The system comprises several key components, including the Arduino Uno as the microcontroller, L298N motor controller for motor actuation, HC-05
Bluetooth module for wireless communication, infrared sensors for dust detection, relay modules for managing high-power devices, a 60 RPM DC motor for mechanical movement, and a 12V 2A SMPS for stable power supply. Together, these elements form a cohesive and effective cleaning system.

Real-time Monitoring and Alerts:
Real-time monitoring is achieved through the integration of infrared sensors that continuously assess chalk dust levels on the blackboard. When dust accumulation reaches predefined thresholds, the system triggers alerts, notifying users to initiate cleaning or activate automated protocols. This proactive approach minimizes dust exposure and maintains a clean workspace.

Optimized Collection Routes:
The "Smart Aid Duster" incorporates a highly efficient approach to cleaning by segmenting the blackboard into four distinct zones, each representing a specific percentage of the board's total area (0-25%, 25-50%, 50-75%, and 75-100%). This zonal division allows the system to precisely target sections where the most chalk dust has accumulated, based on real-time data from infrared sensors. By focusing cleaning efforts only on the areas that require it, the system eliminates the need for unnecessary full-board cleaning, reducing both time and energy consumption. The ability to prioritize heavily dusted sections not only enhances the speed and effectiveness of the cleaning process but also extends the operational lifespan of the motor and other mechanical components by preventing overuse. Moreover, this targeted cleaning system can be adjusted dynamically based on varying dust levels,

further refining the overall process. The system is designed to learn from previous cycles, using data analytics to predict future high-dust areas, thus continuously improving efficiency. This smart and responsive cleaning strategy ensures that
energy is conserved, operational costs are minimized, and classroom or meeting downtime is reduced, all while maintaining optimal cleanliness. By integrating this level of precision, the "Smart Aid Duster" revolutionizes traditional blackboard cleaning methods and significantly elevates the efficiency of chalk dust management.

Environmental Impact and Hazard Prevention:
The "Smart Aid Duster" significantly reduces the environmental impact of traditional chalkboard cleaning by capturing and containing harmful chalk dust particles that would otherwise become airborne. Chalk dust, often laden with fine
particulate matter, can contribute to poor air quality, potentially causing respiratory issues, allergies, and long-term health complications for students, teachers, and workers. By incorporating an integrated vacuum system, the duster not only
removes the dust but also prevents it from dispersing into the surrounding environment, thereby improving indoor air quality. This containment strategy reduces the risk of inhalation of particulate matter, lowering the likelihood of respiratory hazards and minimizing exposure to allergens. The automated design
also ensures that dust collection is thorough, eliminating human error in manual cleaning methods that often leave behind residual dust. Furthermore, the closedloop system ensures that the chalk dust is safely stored in a designated container, preventing it from contaminating surfaces or being reintroduced into the
atmosphere during disposal. This proactive approach to dust management contributes to a healthier indoor environment, especially in settings where air quality is paramount. In addition, by reducing the frequency of manual cleaning, the system limits direct contact with potentially hazardous materials, protecting users from physical strain and minimizing skin or eye irritation often caused by chalk residue. Overall, the "Smart Aid Duster" not only promotes a cleaner environment but also enhances user safety by preventing dust-related hazards, creating a more sustainable and health-conscious approach to blackboard maintenance.

Integration of IoT Technologies:
The "Smart Aid Duster" leverages the power of IoT technologies to elevate its functionality and efficiency. By integrating the HC-05 Bluetooth module and Arduino Uno microcontroller, the system establishes seamless wireless communication between the duster and mobile devices, enabling remote monitoring and control. This allows users to access real-time data, track dust levels, and activate the cleaning process from any location, providing enhanced operational flexibility. The IoT-enabled system also collects data on cleaning cycles, dust accumulation patterns, and system performance, which can be analyzed for predictive maintenance and usage optimization. By storing and analyzing this data, the system can anticipate high-dust areas and schedule future cleanings accordingly, improving overall efficiency and reducing unnecessary energy consumption. Furthermore, the system can alert users through mobile notifications when maintenance is required or when a specific section of the board needs cleaning, ensuring timely interventions and preventing mechanical wear. This integration of IoT not only streamlines the management of the duster but also allows for greater scalability, enabling multiple devices to be controlled within larger educational or professional environments. By harnessing IoT, the "Smart Aid ■ Duster" brings smart automation into traditional chalkboard cleaning, improving user convenience, efficiency, and operational intelligence in real time.

Data Analytics and Predictive Maintenance:
The "Smart Aid Duster" leverages data analytics to optimize cleaning and ensure system longevity. By collecting real-time data on dust accumulation, cleaning cycles, and component performance, it identifies patterns and predicts high-dust areas, enabling more efficient cleaning and energy conservation. Predictive maintenance alerts users to potential issues, allowing for timely repairs and reducing the risk of breakdowns. This proactive approach minimizes downtime, extends the lifespan of components, and ensures the system operates at peak efficiency, adapting dynamically to usage needs while reducing manual intervention.

User-Friendly Interface:
The "Smart Aid Duster" features a highly intuitive, user-friendly interface designed for seamless interaction. Accessible via a mobile application, the interface allows users to monitor real-time dust levels, initiate or schedule cleaning cycles, and receive maintenance alerts with ease. Its clean, straightforward design ensures that users can control the system without requiring technical expertise, making it suitable for diverse environments like classrooms and offices. The app also provides real-time status updates and data insights, enabling users to make
informed decisions and ensuring the duster operates efficiently without manual intervention.

Cost-Benefit Analysis:
The "Smart Aid Duster" provides significant cost savings through its automated and efficient cleaning process, reducing the need for manual labor and frequent maintenance. By targeting specific dusty areas and optimizing energy usage, the system minimizes operational costs related to electricity consumption and component wear. Although the initial investment in IoT technologies and components like the Arduino Uno and Bluetooth modules may be higher, the long term benefits outweigh the expenses. These include improved air quality, reduced health risks from chalk dust exposure, extended device lifespan due to predictive maintenance, and overall enhanced productivity in educational and professional settings. The system's efficiency leads to lower energy consumption, and fewer maintenance interventions, thus providing a substantial return on investment over time

Challenges and Considerations:
The main challenges include ensuring component durability, accurate dust detection, reliable Bluetooth connectivity, and power efficiency. Compatibility with different blackboards and maintaining a user-friendly interface are also important considerations. Careful design and testing are essential for overcoming these obstacles and ensuring optimal system performance.

Challenges and Considerations:
The main challenges include ensuring component durability, accurate dust detection, reliable Bluetooth connectivity, and power efficiency. Compatibility with different blackboards and maintaining a user-friendly interface are also important considerations. Careful design and testing are essential for overcoming these obstacles and ensuring optimal system performance.

CLAIMS
We claim,
Claim 1: The "Smart Aid Duster" incorporates advanced sensors that accurately detect dust levels on the blackboard, enabling automated cleaning cycles based on real-time data.

Claim 2: The system features seamless integration of IoT technologies, allowing users to remotely monitor and control cleaning operations via a mobile application.

Claim 3: The ability to segment the blackboard into four distinct zones facilitates targeted cleaning efforts, optimizing resource use and enhancing operational efficiency.

Claim 4: The implementation of data analytics enables predictive maintenance, alerting users to potential mechanical issues before they lead to system failure, thereby prolonging the lifespan of the device.

Claim 5: The mobile application offers an intuitive user interface, providing realtime insights into dust levels and cleaning status without requiring technical expertise.

Claim 6: By minimizing the need for manual cleaning and reducing dust accumulation, the system contributes to improved indoor air quality, promoting a healthier learning and working environment.

Claim 7: The "Smart Aid Duster" is designed for optimal energy consumption, ensuring efficient operation while reducing overall energy costs associated with traditional cleaning methods.

Claim 8: The system is built with robust components to withstand regular use, ensuring long-term reliability and performance in diverse environments.

Date:
Signature:
Name: DR. K. Palanikumar

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