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AUTOMATIC WEIGHING MACHINE INTEGRATED INTO A SUGARCANE TRUCK BY USING BLOCKCHAIN
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 8 November 2024
Abstract
This paper presents an innovative solution for automatic weighing systems integrated into sugarcane trucks, focusing on the development of a "dynamic weighing" or "weigh-in-motion" technology. The proposed system enables real-time weight measurement without requiring vehicles to stop at traditional weighing stations, significantly improving fuel efficiency and reducing environmental impact. The automation of weighing processes ensures compliance with legal weight regulations, reduces the risk of road damage due to overloading, and enhances safety by preventing overloaded trucks from operating. The system also integrates blockchain technology for secure data transmission and leverages GPS for optimized route planning, contributing to further fuel savings. By providing real-time weight data to government bodies, it enhances transparency, minimizes bribery opportunities, and increases accountability. The paper outlines the design and implementation of this technology, including the use of load cells, signal amplification, centralized monitoring, and data encryption protocols. It also discusses the system’s impact on fleet management, highlighting features like remote monitoring, data-driven decision-making, and integration with fleet management systems. This comprehensive approach aims to revolutionize fleet operations by improving efficiency, reducing operational costs, and supporting sustainable transportation practices.
Patent Information
Application ID | 202411086118 |
Invention Field | PHYSICS |
Date of Application | 08/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Pancham Singh | Ajay Kumar Garg Engineering College, Ghaziabad, 27th Km Milestone, Delhi-Meerut Expressway, P.O. Adhyatmik Nagar, Ghaziabad - 201009 | India | India |
Ms. Mrignainy Kansal | Department of Computer Science & Engineering, Netaji Subhas University of Technology, New Delhi-110078, India | India | India |
Dr. Ekta Pandey | Department Applied Sciences and Humanities, Ajay Kumar Garg Engineering College, Ghaziabad Uttar Pradesh-201009, India | India | India |
Ms. Sheradha Jauhari | Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Mr. Eshank Jain | Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Mr. Sudhakar Dwivedi | Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Ms. Tanya Dubey | Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Ms. Swarnima Gupta | Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Mr. Beerbal Solanki | Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Mr. Bhupesh Kumar Gupta | Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Pancham Singh | Ajay Kumar Garg Engineering College, Ghaziabad, 27th Km Milestone, Delhi-Meerut Expressway, P.O. Adhyatmik Nagar, Ghaziabad - 201009 | India | India |
Ms. Mrignainy Kansal | Department of Computer Science & Engineering, Netaji Subhas University of Technology, New Delhi-110078, India | India | India |
Dr. Ekta Pandey | Department Applied Sciences and Humanities, Ajay Kumar Garg Engineering College, Ghaziabad Uttar Pradesh-201009, India | India | India |
Ms. Sheradha Jauhari | Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Mr. Eshank Jain | Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Mr. Sudhakar Dwivedi | Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Ms. Tanya Dubey | Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Ms. Swarnima Gupta | Department of Information Technology, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Mr. Beerbal Solanki | Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Mr. Bhupesh Kumar Gupta | Department of Computer Science & Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh-201009, India | India | India |
Specification
Description:Field of Invention:
[0001] The development of automated weighing systems for sugarcane trucks, particularly those that can weigh vehicles without requiring them to stop at a separate measuring unit. This type of technology is known as "dynamic weighing" or "weigh-in-motion" systems. This can help the environment in various ways reducing pollution that caused by the truck due to more travelling and also saves fuels of various commercial vehicles. It has been instrumental in ensuring compliance with regulations and promoting transparency. Government processes are now more traceable, reducing the likelihood of errors and ensuring accountability. By automating certain processes and reducing manual work, there has been a noticeable decrease in operational?costs.
Background of Invention:
[0002] Since there are many strict rules and regulations in many regions regarding the maximum weight that a commercial vehicle can carry. Automatic weight machines help truck operators and fleet managers ensure compliance with these regulations, avoiding fines and penalties associated with overloading.
[0003] Overloaded trucks pose serious safety risks on the road. They can lead to increased stopping distances and potential damage to roads and bridges. Automatic weight machines contribute to safer transportation by preventing overloading.
[0004] Overloaded trucks can cause accelerated wear and tear on roads and bridges, leading to increased maintenance costs and a shorter lifespan for infrastructure. Automatic weight measurement systems help in preserving the integrity of roads and bridges by ensuring that trucks adhere to weight limits.
[0005] Knowing the exact weight of the load in real-time allows for better load planning and distribution. This contributes to improved operational efficiency as trucks can be loaded optimally, reducing the number of trips needed and maximizing the use of available cargo space.
[0006] Overloaded trucks typically have lower fuel efficiency. By preventing overloading, automatic weight machines contribute to better fuel economy, reducing fuel costs and environmental impact.
[0007] Trucks and their components, such as tires, suspension systems, and braking systems, are designed to handle specific weight limits. Overloading can lead to premature wear and damage to these components. Automatic weight machines help prevent such damage, reducing maintenance costs.
[0008] In some industries, legal compliance with weight regulations is crucial for trade and commerce. Trucks transporting goods across borders, for example, need to adhere to weight limits to comply with international trade agreements and standards.
[0009] Based on the provided information about the similar patents, here are some differences that can make the proposed idea different from the existing patents:
Minimized Idle Time: With streamlined weighing processes, there is less idle time for vehicles waiting at measuring units. Reduced idle time means engines are running less, leading to additional fuel savings.
Providing Real-time data to government body: Real-time data ensures that government authorities receive up-to-the-minute information on weighing procedures. Automation of weighing procedures eliminates manual tasks, reducing the likelihood of errors and improving overall operational efficiency. This not only saves time but also ensures consistency in data collection. Real-time data, combined with automation, streamlines the entire weighing process.
Reduced Bribery Opportunities: There are fewer points in the weighing procedure where individuals might be susceptible to bribery. The reduction in manual checkpoints minimizes opportunities for corrupt practices to take place. Citizens and businesses are more likely to have faith in a system that minimizes the risk of corruption.
Use of Block-chain for data transmission: Blockchain enhances the security, transparency, and efficiency of data transmission. Its decentralized nature, cryptographic* principles, and smart contract capabilities make it a valuable technology for ensuring the integrity and authenticity of data, particularly in applications like the automated weighing system where secure communication and data accuracy are critical.
, Claims:Claims
[1] This can help prevent overloading and ensure compliance with weight regulations. Automatic weight machines help truck operators and fleet managers ensure compliance with these regulations, avoiding fines and penalties associated with overloading.
[2] Well-balanced loads improve fuel economy, reducing fuel consumption and associated costs.
[3] Provides accurate and real-time weight data, enabling data-driven decision-making for fleet managers. This information helps in load planning, route optimization, and overall fleet management. Ensures compliance with weight regulations and legal limits for commercial vehicles. This helps truck operators avoid fines, penalties, and legal consequences associated with overloading.
[4] Reduces the time and costs associated with manual weighing processes. Automatic systems streamline the weighing process, saving time for both drivers and logistics personnel.
[5] Enables remote monitoring of weight data, allowing fleet managers to access information from a centralized location. This is especially valuable for managing large fleets and ensuring compliance across various locations. Integration with fleet management systems enhances overall fleet optimization. Weight data can be combined with other telematics and operational data, providing a comprehensive view of fleet performance.
Documents
Name | Date |
---|---|
202411086118-COMPLETE SPECIFICATION [08-11-2024(online)].pdf | 08/11/2024 |
202411086118-DECLARATION OF INVENTORSHIP (FORM 5) [08-11-2024(online)].pdf | 08/11/2024 |
202411086118-DRAWINGS [08-11-2024(online)].pdf | 08/11/2024 |
202411086118-FORM 1 [08-11-2024(online)].pdf | 08/11/2024 |
202411086118-REQUEST FOR EARLY PUBLICATION(FORM-9) [08-11-2024(online)].pdf | 08/11/2024 |
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