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VIRTUAL REALITY POWERED FLIGHT TRAINING
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ORDINARY APPLICATION
Published
Filed on 4 November 2024
Abstract
Understanding pilot performance and training effectiveness is crucial in aviation to enhance safety and improve operational efficiency. The "Virtual Reality-Powered Flight Training" project explores how immersive technology is transforming aviation training, focusing on the role of advanced simulations and data analytics in pilot education. By utilizing real-time data from various sources, including performance metrics and simulation feedback, the project aims to identify patterns in pilot behaviour that can inform training methodologies. The process encompasses scenario creation, data collection, analysis, and performance evaluation. This innovative approach can facilitate early identification of skill gaps and contribute to tailored training experiences that meet individual pilot needs. The findings underscore the potential of this technology to revolutionize pilot training, ensuring a comprehensive training framework that prioritizes safety, competency, and compliance with industry standards. The project also discusses the importance of effective data management practices to support ongoing improvements in aviation education and training methodologies.
Patent Information
Application ID | 202441083983 |
Invention Field | PHYSICS |
Date of Application | 04/11/2024 |
Publication Number | 45/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
ADITYAS | Department of Artificial Intelligence and Data Science, Sri Sai Ram Engineering' College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
NAWIN VISWAJ1TH B | Department of Artificial Intelligence and Data Science, Sri Sai Rani Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
NAVANEETHA KRISHNAN R | department of Artificial Intelligence and Data Science, Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
MOHAMED SUHAIL Y | Department of Artificial Intelligence and Data Science, Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
GOMATHY G | Assistant Professor, Department of Artificial Intelligence and Data Science, Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
SRI SAI RAM ENGINEERING COLLEGE | Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
ADITYAS | Department of Artificial Intelligence and Data Science, Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai — 600044 | India | India |
NAWIN VISWAJITH B | Department o f Artificial Intelligence and Data Science, Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
NAVANEETHA KRISHNAN R | Department of Artificial Intelligence and Data Science, Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
MOHAMED SUHAIL Y | Department of Artificial Intelligence and Data Science, Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
GOMATHY G | Assistant Professor, Department of Artificial Intelligence and Data Science, Sri Sai Ram Engineering College Sai Leo Nagar, West Tambaram Chennai Tamil Nadu India Chennai - 600044 | India | India |
Specification
The Virtual Reality Powered Flight Training project leverages Virtual Reality technology to enhance aviation training, focusing on improving pilot performance and safety. It creates immersive environments that simulate real-world flight scenarios, allowing trainees to practice procedures safely and effectively. The project aims to boost pilot competency, promote operational efficiency, and provide innovative tools for evaluating flight skills. By integrating artificial intelligence, the simulator adapts to trainee actions, delivering personalized feedback and dynamic scenarios. Ultimately, this initiative seeks to revolutionize pilot training and enhance overall aviation safety.
BACKGROUND OF INVENTION:
[001]
AUTHOR NAME: PAUL WILLOUGHBY, DAVID BLAIRSVILLE,
PATENT NO: EP3 747 001B1
DESCRIPTION:
The invention relates to a freestanding pilot training system featuring a movable seat pan mounted on a floor-resting seat base, offering six degrees of freedom to simulate flight movements such as surge, heave, sway, yaw, pitch, and roll. Integrated with a training terminal running flight simulation software, the system provides a realistic simulated flight environment. The system includes adjustable supports for the yoke, throttle quadrant, and rudder pedals, all moving in sync with the seat to mimic specific aircraft cockpits. It is also transportable, allowing for flight training at different locations.
[002]
AUTHOR NAME: MUNIZ-SIMAS ET AL.
PATENTNO:US 2017/01482.14 Al DESCRIPTION:
A virtual reality flight simulator is disclosed for training pilots. Users wear VR equipment, such as a head-mounted display, and are immersed in a simulated cockpit environment featuring VR flight controls, simulated flight conditions, and various training tasks. As users complete these tasks, multiple sensors track their performance, identifying skill gaps and stress factors. The system generates an assessment of the user's proficiency, providing feedback for improvement, while notifying administrators of potential r'sks or weaknesses detected in the trainees, enhancing overall training effectiveness and safety.
[003]
AUTHOR NAME: DE VRIES LU1TZEN, LAM W1LHELMUS J
PATENT NO: US-4398889-A
DESCRIPTION:
A flight simulation system is described, featuring a manually operated control device linked to a servomechanism that provides realistic feedback based on simulated flight conditions. The system includes a combining circuit, dividing circuit, and two integrator circuits, which work together to process manual input and simulated internal forces acting on the control device. The combining circuit outputs a signal that represents the control member's acceleration by dividing by the mass
of the control member. This signal is integrated twice to produce velocity and position-related signals. These signals are fed back to the servomechanism, delivering realistic feedback to the' user.
OBJECTIVES:
i. Enhance Pilot Training: Utilize Virtual Reality technology to create immersive training environments that simulate real-world flight scenarios, allowing pilots to practice and refine their skills.
ii. Improve Flight Safety: Analyse pilot performance data to identify areas for improvement, thereby supporting the early detection of potential safety issues during training. iii. Facilitate Realistic Training Experiences: Provide trainees with lifelike simulations that replicate various flight conditions and emergencies, helping them prepare for actual flight situations. iv. Personalize Learning Experiences: Integrate artificial intelligence to adapt training scenarios based on individual pilot performance, ensuring personalized feedback and targeted skill development.
v. Promote Operational Efficiency: Streamline the training process by reducing the need for extensive in-flight hours, optimizing resource allocation and training schedules. vi. Innovate Assessment Methods: Develop advanced techniques for evaluating pilot performance and competencies, enhancing the accuracy and reliability of training outcomes. vii. Support Aviation Standards and Regulations: Ensure that the training program aligns with industry standards and regulatory requirements, promoting safe and responsible aviation practices.
SUMMARY:
The Virtual Reality-Powered Flight Training project investigates the application of Virtual Reality technology in aviation training, focusing on enhancing pilot performance and safety. It demonstrates how immersive simulations create realistic flight environments, allowing trainees to practice essential skills and procedures safely. By incorporating advanced algorithms and data analytics, the project analyses pilot performance and adapts training scenarios to individual needs, fostering personalized learning experiences. Additionally, it highlights various methods for assessing pilot competencies and optimizing training processes to ensure operational efficiency.
The project emphasizes the potential of VR technology to revolutionize pilot training, improve overall aviation safety, and align with industry standards.
BRIEF DESCRIPTION OF THE DRAWING:
Figure 1: Workflow diagram Figure 2: Prototype review of flight exterior Figure 3: Prototype review of flight interior DETAILED DESCRIPTION OF THE INVENTION:
The Virtual Reality-Powered Flight Training project introduces an innovative approach to pilot training by leveraging immersive Virtual Reality technology to transform how pilots learn and practice flight skills. This advanced system utilizes realistic simulations that replicate various flight scenarios, providing trainees with an engaging and interactive learning experience that enhances their situational awareness and decision-making abilities.
At its core, the VR training model focuses on tracking pilot performance in real-time, allowing for precise evaluation and feedback. By collecting data from simulations, the system identifies patterns in pilot behaviour, enabling the customization of training pathways that cater to individual learning needs and proficiency levels. This personalized approach ensures that each trainee receives targeted instruction, enhancing skill development and operational readiness.
One of the standout features of the VR training system is its ability to create adaptive training scenarios that respond to a pilot's actions and decisions during simulations. This dynamic environment fosters critical thinking and problem-solving skills, as pilots encounter varied situations that require them to adapt and apply their knowledge effectively. The integration of artificial intelligence allows for the continuous refinement of training modules based on performance data, ensuring that the training remains relevant and impactful. The project also emphasizes the importance of comprehensive assessment frameworks that align with industry standards and regulatory requirements. By employing advanced metrics for evaluating pilot competencies, the system helps identify areas for improvement and supports continuous professional development. This proactive approach to assessment is vital for maintaining high safety standards in aviation.
Additionally, the VR training model enhances collaboration among trainees through group simulations, encouraging teamwork and communication skills essential for real-world flying scenarios. This feature promotes a sense of camaraderie among pilots in training, further enriching the overall educational experience. Moreover, the VR training system is designed with safety and ethical considerations in mind, ensuring that simulations provide a risk-free environment for pilots to hone their skills without the dangers associated with real-wor.'d flying. This commitment to safety is fundamental in fostering confidence and competence among ?rainecs.
Ultimately, the Virtual Reality-Powered Flight Training project represents a significant leap forward in aviation training methodologies. By harnessing the power of immersive technology and personalized learning, this innovative system aims to elevate pilot training standards, enhance safety protocols, and contribute to the overall efficiency and effectiveness of the aviation industry.
CLAIMS:
JNov-2024/132500/202441083983/Form 2(Title Page)
WE CLAIM,
Claim 1: We claim a system for immersive flight training utilizing Virtual Reality technology, comprising realistic simulations that replicate various flight scenarios to enhance pilot training experiences.
Claim 2: We claim an adaptive learning algorithm for processing pilot performance data in real time, enabling the identification of skill gaps and areas requiring improvement during training sessions.
Claim 3: We claim a feedback module that provides personalized insights^and recommendations to trainees based on their performance, facilitating targeted skill development and enhancing learning outcomes.
Claim 4: We claim a comprehensive assessment framework integrated within the VR training environment to evaluate pilots' competencies, ensuring alignment with industry standards and regulatory requirements.
Claim 5: We claim a comprehensive data logging system that captures and stores detailed records of pilot actions, environmental conditions, and training outcomes during each VR simulation, allowing instructors to review performance, identify trends, and make data-driven decisions to optimize future training sessions.
Claim 6: We claim a collaborative training module that enables group simulations, encouraging teamwork and communication among pilots in training, fostering a supportive learning environment.
Claim 7: We claim an ethical training framework that prioritizes safety and well-being during simulations, ensuring responsible practices in pilot training and adherence to aviation regulations.
Claim 8: We claim the application of Virtual Reality technology in aviation training represents a significant innovation, leading to improved pilot performance and enhanced safety protocols.
Claim 9: We claim a real-time performance monitoring system that tracks multiple physiological and behavioural metrics of pilots during VR flight simulations, providing^ insights into stress levels, reaction times, and cognitive load, thereby improving individ.'r 'ced training plans and enhancing overall pilot readiness.
Claim 10: We claim a machine learning-enhanced recommendation system within the VR flight simulator that analyses pilot performance over time and suggests customized training modules, exercises, or flight scenarios tailored to address specific skill gaps and strengthen areas of weakness for each pilot.
Documents
Name | Date |
---|---|
202441083983-Form 1-041124.pdf | 06/11/2024 |
202441083983-Form 2(Title Page)-041124.pdf | 06/11/2024 |
202441083983-Form 3-041124.pdf | 06/11/2024 |
202441083983-Form 5-041124.pdf | 06/11/2024 |
202441083983-Form 9-041124.pdf | 06/11/2024 |
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