Robot Warehousing Delivery Sequencing for Balanced Battery Usage
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Solution Overview
Problem
Current technologies lack a systematic approach for managing and delivering a large number of mobility vehicles, such as golf carts, within a specific region, like a golf course, which hampers efficient storage and distribution.
Innovation Solution
An autonomous driving mobile service robot warehousing and delivery system that utilizes line parts, robot bodies, and a server to systematically store and deliver robot bodies by calculating and comparing delivery times, allowing sequential delivery from the line part with the smallest number of delivery times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robot bodies are delivered without systematic management, then delivery operations can be performed, but usage rate distribution becomes unbalanced and battery life is optimized poorly
Solution Approach 1:
The server collects delivery time data from counting parts at each line part, processes this feedback information, and uses it to determine optimal delivery sequences. The system continuously monitors delivery frequencies and adjusts delivery priorities to balance usage rates across all robot bodies, thereby optimizing battery life while maintaining efficient delivery operations
Solution Approach 2:
The server calculates and determines the optimal delivery sequence in advance by comparing delivery times and usage rates before actual deliveries occur. This preliminary planning ensures that robot bodies with lower usage rates are delivered first, preventing premature battery degradation while maintaining smooth operational flow
2Reliability
If robot bodies are delivered sequentially by usage rate, then battery life is optimized and usage is balanced, but system complexity increases due to monitoring and comparison mechanisms
Solution Approach 1:
The server acts as an intermediary that centralizes the complex tasks of data collection, comparison, and sequence determination. Instead of distributing complex monitoring logic across multiple controllers, the server consolidates these functions, receiving simple delivery time data from counting parts and returning optimized delivery sequences to controllers, thereby managing complexity centrally while maintaining simple local components
Solution Approach 2:
The server performs multiple functions including data collection from counting parts, delivery time comparison, sequence determination, and communication with controllers. This multi-functional approach consolidates what would otherwise require separate specialized systems, reducing overall system complexity while achieving battery life optimization through centralized intelligent management
3Ease of operation
If multiple robot bodies are managed without systematic warehousing, then storage is simple, but delivery efficiency decreases and usage distribution becomes unbalanced
Solution Approach 1:
The warehousing system is segmented into multiple line parts, each with its own counting part and robot bodies. This segmentation allows independent tracking and management of delivery frequencies at each location, enabling the server to optimize deliveries locally while maintaining overall system efficiency. The segmented structure preserves operational simplicity at each line part while enabling systematic global management
Data Source
AI summary
The present invention relates to an autonomous driving mobile service robot warehousing and delivery system that is capable of systematically storing and delivering a plurality of robot bodies from line parts by means of a server and comparing the number of delivery times of the robot bodies by line part to allow the robot bodies to be delivered sequentially from the line part having the smallest number of delivery times, thereby distributing the usage rate of the robot bodies disposed by line part.