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AUTONOMOUS ROAD MAINTENANCE VEHICLE FOR AUTOMATED ROAD REPAIR
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 8 November 2024
Abstract
This proposal outlines the design and development of an Autonomous Road Maintenance Vehicle (ARMV) aimed at automating the process of road repair. Utilizing advanced design software such as Catia, the project includes the procurement of necessary components for fabrication, assembly, and testing. The ARMV will be equipped with DC motor-powered wheels for mobility, a concrete tank for dispensing repair materials, and sensors to detect road defects like pits and obstacles. Upon detecting a pit, the vehicle will halt, dispense the required material, level the surface with an integrated roller, and resume its course. When encountering obstacles, the vehicle will autonomously navigate around them to continue its operation, ensuring efficient and continuous road maintenance.
Patent Information
Application ID | 202441085782 |
Invention Field | ELECTRONICS |
Date of Application | 08/11/2024 |
Publication Number | 46/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr.MOHAMED ABBAS.S | Associate Professor, Department of Mechanical Engineering, PERI Institute of Technology, Chennai - 600 048. | India | India |
SREEBALAJI V.S | Professor & Head, Mechanical Engineering, Dr.N.G.P Institute of Technology, Coimbatore- 641 048. | India | India |
Dr.GUNA G | Assistant Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical sciences, Chennai - 600 077. | India | India |
Dr.CLINKTAN R | Assistant Professor Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical sciences, Chennai - 600 077. | India | India |
Dr.RATNESH KUMAR GUPTA | Senior Lecturer, Mechanical Engineering, Delhi Skill And Entrepreneurship University, Pusa Campus, New Delhi-12. | India | India |
BABU A | Assistant Professor, Department of Mathematics, St. Joseph's Institute of Technology, Semmancheri, Chennai- 600 119. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Dr.MOHAMED ABBAS.S | Associate Professor, Department of Mechanical Engineering, PERI Institute of Technology, Chennai - 600 048. | India | India |
SREEBALAJI V.S | Professor & Head, Mechanical Engineering, Dr.N.G.P Institute of Technology, Coimbatore- 641 048. | India | India |
Dr.GUNA G | Assistant Professor, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical sciences, Chennai - 600 077. | India | India |
Dr.CLINKTAN R | Assistant Professor Department of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical sciences, Chennai - 600 077. | India | India |
Dr.RATNESH KUMAR GUPTA | Senior Lecturer, Mechanical Engineering, Delhi Skill And Entrepreneurship University, Pusa Campus, New Delhi-12. | India | India |
BABU A | Assistant Professor, Department of Mathematics, St. Joseph's Institute of Technology, Semmancheri, Chennai- 600 119. | India | India |
Specification
Technical Field
Autonomous vehicles and technologies for road maintenance are the subjects of the current invention. In particular, it concerns the creation of a self-driving road maintenance vehicle that can identify and fix road imperfections without human intervention.
Field of Invention
This innovation is a product of the intersection of robotics and civil engineering, with a particular emphasis on mechanized approaches to fixing and maintaining roads. A self-operating vehicle that improves the efficiency and safety of road maintenance activities is created by integrating mechanical, electrical, and sensor technology.
Background Technology
Keeping roads in good repair is essential for the smooth operation of transportation systems. Fixing roads the old-fashioned way is a pain, takes forever, and usually stops traffic. Workers are also put at risk during manual repair methods. These problems can be solved with the use of automated road maintenance trucks, which can repair roads efficiently and continuously with little human involvement.
The creation of autonomous systems capable of performing complex tasks has been made possible by recent developments in sensor technology and robotics. Such solutions have the potential to greatly enhance operating efficiency and safety in the road maintenance environment, all while decreasing the costs and downtime linked to conventional repair methods.
Summary of the Invention
A completely automated system for finding and fixing road problems is what the "Autonomous Road Maintenance Vehicle for Automated Road Repair" is trying to accomplish, which would completely change the face of road maintenance. This state-of-the-art car can drive itself, detect problems like potholes and obstructions, and fix them without any help from a human.
Key Features
> Autonomous Navigation: The ARMV can navigate roadways automatically because to its powerful navigation algorithms and wheels driven by DC mutois.
> Defect Detection: There are built-in sensors that can identify potholes and other road hazards. With this data, the car can figure out what needs fixing.
> Concrete Dispensing System: A concrete tank is included within the vehicle, which can be used to fill identified holes with repair material. A shutter mechanism allows the user to control the flow of material in the tank.
> Surface Leveling: The restored surface is leveled by an integrated roller, guaranteeing a uniform and smooth finish.
> Obstacle Avoidance: The ARMV is capable of continuing its operation autonomously when it encounters barriers by navigating around them.
> Automated Operation: Without the need for human participation, the whole repair process can be executed automatically, including every step from fault detection to surface leveling.
System Components
> Navigation System: Directs the ARMV to follow specified routes using GPS and sensor-based navigation. The DC motors are what really get the car moving.
> Defect Detection Sensors: LiDAR and ultrasonic sensors are examples of high-precision sensors that can identify road imperfections like potholes and obstructions. The control system receives data from these sensors in real-time.
> Concrete Tank and Shutter Mechanism: The stuff for fixing things is kept in the concrete container. In order to fill detected pits precisely, the shutter mechanism regulates the release of concrete.
> Integrated Roller: The vehicle is equipped with a roller system that levels the surface after repairs. Returning the road to its initial state, the roller guarantees a uniform and smooth finish.
> Control Unit: The central processing unit manages the repair process, controls the vehicle's movement, processes data from sensors, and organizes all operations.
> Power Supply: The car can stay autonomous for long periods of time since it is fuelled by a rechargeable battery pack.
Operation
> Navigation and Movement: Following the road is no problem for the . ARMV thanks to its GPS and sensor-based navigation system. A car may go
ahead thanks to the DC motors that turn the wheels.
> Defect Detection: The sensors keep checking the road for damage as the car drives along. The car comes to a stop as soon as the control unit detects a pit.
> Concrete Dispensing: When the identified hole is located, the shutter mechanism opens and concrete is dispensed from the tank. To prevent overfilling, the amount of material that is supplied is controlled.
> Surface Leveling: A perfectly flat surface is guaranteed by the built-in roller, which levels the filled pit. After the leveling process is finished, the car continues on its way.
> Obstacle Avoidance: In order to maintain uninterrupted operation, the ARMV determines a different route to avoid obstacles when it detects them.
> CLAIMS
Claim 1: An autonomous road maintenance vehicle comprising:
> Autonomous movement is enabled via a navigation system that uses wheels powered by DC motors.
> Road flaws like pits and obstructions can be detected by defect detection sensors.
> The repair material is dispensed from a concrete tank that has a shutter mechanism.
> The restored surface can be leveled with the help of an integrated roller.
> A system that regulates and controls the vehicle's functions.
Claim 2: Claimed vehicle l's navigation system uses global positioning satellites (GPS) and sensor-based navigation to follow set routes.
Claim 3: The first-claimed car employs LiDAR and ultrasonic sensors for fault detection, allowing for very accurate identification of road imperfections.
Claim 4: The first-claimed vehicle, wherein the shutter mechanism regulates the flow of concrete from the tank to precisely fill any identified holes.
Claim 5: Claimed in claim 1 is a vehicle with an integrated roller that guarantees a flat and smooth surface by leveling the filled pit.
Claim 6: The control unit of the vehicle described in claim 1 autonomously processes sensor data and oversees the vehicle's movement and repair operations.
Claim 7: The vehicle described in claim 1 also includes an obstacle avoidance system, which allows the vehicle to maneuver around obstructions that are detected on the road
Documents
Name | Date |
---|---|
202441085782-Form 1-081124.pdf | 12/11/2024 |
202441085782-Form 2(Title Page)-081124.pdf | 12/11/2024 |
202441085782-Form 3-081124.pdf | 12/11/2024 |
202441085782-Form 5-081124.pdf | 12/11/2024 |
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