Alimentary Element Transfer Optimization via Linear Path Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for physical transfer of alimentary elements using vehicle route guidance suffer from inaccuracy in predictions and neglect the optimization of transfer paths, leading to inefficient routing and shunting of alimentary elements through pipelines.
Innovation Solution
A system comprising a computing device that generates machine-readable labels for alimentary elements, uses an identification device to create an active queue, and employs linear optimization to determine optimal transfer paths by combining orders based on ideal paths, providing grouping instructions to user devices for efficient physical transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing vehicle route guidance methods are used for physical transfer of alimentary elements, then the transfer process can be automated, but the prediction accuracy deteriorates leading to inefficient routing
Solution Approach 1:
The patent transforms the routing problem from standard vehicle route guidance to an optimal transfer path problem by changing key parameters: treating alimentary elements as discrete units requiring tracking, using linear optimization instead of predictive algorithms, and incorporating real-time queue status. This parameter transformation resolves the contradiction by maintaining automation while achieving superior accuracy through mathematical optimization rather than prediction.
2Productivity
If standard routing algorithms are used, then the system can handle multiple orders, but the transfer time increases due to suboptimal path selection
Solution Approach 1:
The patent applies preliminary action by pre-calculating optimal transfer paths using linear optimization before physical transfer begins. The system determines the ideal sequence and routing for multiple alimentary elements in advance, considering all constraints and objectives. This preliminary optimization ensures that while handling multiple orders simultaneously, the transfer time is minimized because the most efficient path has already been computed and is executed without delays.
3Ease of operation
If alimentary elements are transferred through pipelines without optimization, then the physical transfer can proceed, but the routing efficiency deteriorates leading to unnecessary delays
Solution Approach 1:
The patent introduces dynamics by making the transfer routing adaptive and optimized rather than static. The linear optimization model dynamically determines the ideal path for each alimentary element based on real-time conditions, queue status, and transfer objectives. This dynamic optimization maintains the simplicity of pipeline transfer operation while dramatically improving routing efficiency by continuously calculating and executing the most efficient paths.
Data Source
AI summary
A system for identifying and grouping alimentary elements for physical transfer, the system comprising a computing device and an identification device, wherein the computing device is configured to receive a plurality of orders. Computing device may generate an identifier for each order, wherein an identifier is a machine-readable label that can be recognized using an identification device. Device may scan the machine-readable label using an identification device, wherein the identification device identifies the identifier from the machine-readable label and places an order into an active queue. Computing device may combine, using the orders in an active queue, orders that are to be transferred together, wherein combining further comprises determining which orders should be combined based upon an optimal path of transfer, and provide, to a user device, grouping instructions corresponding to which orders should be grouped.