Autonomous Trolley Load Detection for Dynamic Task Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mobile body systems for autonomous transportation of objects, such as luggage, lack the ability to dynamically adjust operations based on the quantity of objects being transported, leading to inefficiencies in service provision and resource management.
Innovation Solution
A mobile body system comprising a traveling unit with autonomous driving capabilities and a trolley unit equipped with a detection system for object quantity, allowing the server device to determine operations such as task allocation and resource management based on real-time data, enabling flexible service provision and efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the mobile body system operates with fixed task allocation regardless of object quantity, then the system structure remains simple, but service flexibility and operational efficiency deteriorate
Solution Approach 1:
The system dynamically adjusts task allocation and operational parameters based on real-time detection of object quantity. The control unit modifies traveling speed, task assignment, and resource allocation according to the detected load, transforming a static system into an adaptive one that optimizes service flexibility without requiring complex manual reconfiguration
Solution Approach 2:
The detection unit continuously monitors the quantity of objects on the housing portion and feeds this information back to the control unit. This feedback loop enables the system to automatically adjust its operations based on actual load conditions, achieving adaptability through information-driven control rather than complex mechanical structures
2Productivity
If the system detects and responds to object quantity in real-time, then operational efficiency improves, but device complexity increases due to additional detection and control systems
Solution Approach 1:
The mobile body system performs self-assessment of its load through the detection unit and automatically adjusts its own operations without external intervention. The control unit autonomously determines optimal traveling speed and task allocation based on detected object quantity, eliminating the need for manual monitoring and control while improving operational efficiency
Solution Approach 2:
The system replaces manual or mechanical decision-making processes with electronic detection and control systems. Instead of physical adjustments or human operators determining task allocation based on visual inspection, electronic sensors and control algorithms automatically optimize operations, achieving higher efficiency with manageable complexity
3Productivity
If the traveling unit always travels at maximum speed, then productivity is maximized, but safety and reliability deteriorate when carrying large quantities of objects
Solution Approach 1:
The traveling speed is dynamically adjusted based on the detected quantity of objects. When the detection unit identifies a large number of objects, the control unit automatically reduces traveling speed to safe levels. This dynamic speed adjustment maintains high productivity during light loads while ensuring safety during heavy loads without requiring complex mechanical speed control mechanisms
Data Source
AI summary
Provided is a mobile body system including a traveling unit having an autonomous traveling function and a trolley unit having a housing portion for loading an object. A detection unit detects an amount of objects placed on the housing portion. A control unit determines an operation of the traveling unit based on the amount of objects detected by the detection unit.