Shipping Container Power Supply Charging Prioritization
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Solution Overview
Problem
Conventional charging methods for shipping container power supplies are inefficient, often resulting in containers being under or overcharged, leading to less efficient transportation, wasted resources, and potential harm to power supplies, due to manual prioritization and lack of real-time adaptability.
Innovation Solution
The implementation of an intelligent charging system that uses machine learning algorithms to prioritize and determine the optimal charging rate for each shipping container based on factors like container weight, travel distance, available charging stations, weather, and traffic conditions, ensuring precise charging to complete the journey without overcharging or depleting the power supply.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual prioritization is used for charging shipping containers, then transportation personnel can determine charging order, but the system becomes inefficient and prone to errors in prioritization and charging rate determination
Solution Approach 1:
The system enables self-service by implementing an intelligent charging management system that automatically prioritizes shipping containers and determines optimal charging rates without human intervention. The system uses algorithms to analyze container characteristics, destination requirements, and power supply status, then autonomously schedules charging sequences and adjusts charging parameters, eliminating the need for manual prioritization while significantly improving charging efficiency
Solution Approach 2:
The patent replaces the mechanical manual prioritization system with an intelligent algorithm-based system. The charging management system uses computational algorithms to automatically assess container priorities based on multiple factors including destination distance, power consumption requirements, and delivery deadlines, substituting human decision-making with automated intelligent processing that improves both efficiency and accuracy
2Reliability
If containers are charged to maximum capacity, then power supply is sufficient for long journeys, but power is wasted on containers that don't need full charge
Solution Approach 1:
The system applies local quality by customizing the charging amount for each individual container based on its specific requirements. The intelligent charging management system calculates the precise charge needed for each container considering its destination distance, power consumption rate, and journey requirements, providing tailored charging solutions rather than uniform maximum charging to all containers, thereby eliminating power waste while ensuring adequate supply for each
Solution Approach 2:
The system dynamically changes charging parameters including charge amount and charging rate based on real-time assessment of container needs. The algorithm adjusts these parameters according to container weight, destination distance, and power consumption characteristics, optimizing the charging process to provide exactly the right amount of power needed without excess, thus preventing energy waste while maintaining reliability
3Loss of time
If fast charging is applied to all containers, then charging time is reduced, but power supply durability is compromised due to over-excessive charging
Solution Approach 1:
The system implements dynamics by making the charging rate adaptive rather than static. The intelligent charging management system continuously monitors power supply status and adjusts the charging rate in real-time based on container priority, power supply health status, and remaining journey requirements. This dynamic adjustment allows fast charging when appropriate while slowing down or pausing charging when the power supply approaches optimal levels, protecting durability while minimizing charging time
Solution Approach 2:
The patent incorporates feedback mechanisms where the charging management system continuously monitors power supply status, charging rate, and container requirements. Based on this feedback, the system automatically adjusts charging parameters to prevent over-excessive charging that could harm power supply durability. The feedback loop ensures that fast charging is applied only when beneficial and stopped or reduced when it approaches harmful levels, balancing speed with durability protection
4Productivity
If intelligent charging algorithms are implemented, then charging optimization is achieved, but system complexity increases
Solution Approach 1:
The system applies segmentation by dividing the complex charging management task into distinct functional modules. The intelligent charging management system is segmented into separate components including container assessment modules, priority determination modules, charging rate calculation modules, and monitoring modules. Each module handles a specific aspect of the charging optimization process, making the overall complex system more manageable and maintainable while achieving comprehensive optimization
Data Source
AI summary
Techniques are described herein for intelligent charging of shipping container power supplies. An exemplary computer-implemented method may include (1) retrieving container data that includes a power supply indication for a set of shipping containers; (2) identifying one or more shipping containers, wherein the power supply indication for each of the shipping containers indicates that the one or more shipping containers include a power supply; (3) applying a charging model to the container data to determine (i) a charging prioritization, (ii) a respective charge value, and (iii) a respective charging rate; and (4) causing each of the one or more shipping containers to receive the respective charge value at the respective charging rate in a sequential order based upon the charging prioritization for each of the shipping containers.