Automated Ballast Delivery System Using LIDAR Profiling
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Solution Overview
Problem
Current methods for maintaining railroad ballast are time-consuming, costly, and prone to inaccuracies due to reliance on visual inspections, leading to either excessive or insufficient ballast application, which can disrupt track stability and drainage.
Innovation Solution
An automated system using remote sensing technology, such as LIDAR, to measure and compare existing ballast profiles against ideal profiles, calculating the volume of additional ballast needed and controlling an automatic ballast delivery train to precisely apply the necessary amount along the track.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection methods are used to determine ballast needs, then the process is simple and requires minimal equipment, but it leads to time-consuming operations, human error, and inaccurate ballast quantity determination
Solution Approach 1:
The patent replaces manual visual inspection with an automated LIDAR-based remote sensing system. The LIDAR device emits laser beams to measure ballast profile heights, and a computer processes this data to calculate precise ballast volume deficiencies, eliminating human error and improving measurement accuracy without requiring complex manual surveying equipment.
Solution Approach 2:
The system creates a digital 3D model or profile copy of the existing ballast distribution by scanning with LIDAR. This digital representation allows precise comparison with ideal ballast profiles and enables accurate calculation of required ballast volumes without physically measuring every section manually.
2Manufacturing precision
If manual ballast application by workers is used, then flexibility and adaptability to local conditions are maintained, but it results in excessive or insufficient ballast placement, requiring subsequent removal or reapplication
Solution Approach 1:
The system continuously compares the LIDAR-measured existing ballast profiles against ideal profile data, calculates precise volume deficiencies, and feeds this information to control the ballast delivery train. This closed-loop feedback ensures accurate ballast placement by exactly filling identified deficiencies without over or under-application.
Solution Approach 2:
The system performs preliminary surveying and calculation before ballast delivery. By pre-calculating the exact volume of ballast needed based on LIDAR data and comparing it against ideal profiles, the system prepares a precise delivery plan that guides the ballast train to place only the required amount, eliminating the need for manual adjustment.
3Reliability
If excess ballast is placed to ensure sufficient coverage, then track support is adequate, but it causes waste and requires manual removal of excess material
Solution Approach 1:
The automated LIDAR measurement and computer-controlled delivery system replaces manual ballast placement. The system calculates the exact volume of ballast needed to achieve ideal profiles and controls the delivery train to place only that precise amount, ensuring adequate track support while eliminating material waste that occurs with manual over-application.
4Measurement precision
If automated LIDAR-based ballast profiling is implemented, then measurement accuracy and ballast quantity calculation precision are significantly improved, but the system complexity and initial costs increase
Solution Approach 1:
The patent applies LIDAR technology to replace complex manual surveying operations. The LIDAR device automatically measures ballast profile heights and the computer processes this data to create precise 3D models and calculate volume deficiencies, achieving high measurement accuracy through automated optical sensing rather than complex manual measurement systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces human error, enhances precision, and optimizes ballast distribution, ensuring proper track support and drainage while minimizing waste and the need for subsequent maintenance operations.
Implementation Method 1
measuring an existing ballast profile of a section of railroad track using a remote sensing system
Implementation Method 2
using remote sensing technology, such as LIDAR, to measure and compare existing ballast profiles
Data Source
AI summary
A method for delivering ballast to a section of railroad track includes measuring an existing ballast profile of a section of railroad track using a remote sensing system, and providing a signal indicative thereof to a first computer. Using the first computer, the existing ballast profile is compared with an ideal ballast profile to compute a track file representing a volume of additional ballast needed as a function of linear position along the section of railroad track, and data representing the track file is transmitted to a second computer of an automatic ballast dump train. Ballast is dumped along the section of railroad track according to the track file under control of the second computer.