Container Movement Computing Platform for Textile Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Textile industries face challenges in efficient and economical material handling, leading to mismanagement, human errors, and increased production costs due to manual handling and conventional transportation methods, which are space-consuming and difficult to install.
Innovation Solution
A computing platform with embedded chips in containers that store data, scanned by scanners to detect placement and quality parameters, processed by carding machines, and reported through output and report generation modules, enabling intelligent container movement and quality control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual handling and conventional transportation methods are used, then installation complexity is reduced, but material handling cost increases and human errors occur
Solution Approach 1:
The patent replaces manual mechanical handling with an automated computing platform that uses scanners to read chip data, processes information through a computing device, and controls container movement automatically. This substitution eliminates human errors in material handling while maintaining ease of installation through modular automated components.
Solution Approach 2:
The system enables containers to self-identify through embedded chips that store unique identification data. Scanners automatically read this data without human intervention, and the computing platform autonomously determines optimal container routing and tracking, reducing the need for manual monitoring and handling.
2Productivity
If conventional transportation systems with conveyors or rails are installed, then material handling efficiency improves, but space consumption increases and installation difficulty increases
Solution Approach 1:
The patent transitions from fixed floor-based conveyor systems to mobile robotic units that operate in the horizontal plane with flexible positioning. This dimensional flexibility allows material handling without requiring overhead rails or extensive floor infrastructure, reducing space consumption while maintaining efficiency.
Solution Approach 2:
The system replaces static conveyor infrastructure with dynamic mobile robotic units that can adapt their positions and routes flexibly. This dynamic approach eliminates the need for fixed rail installations and allows efficient material handling in existing space without structural modifications.
3Device complexity
If manual quality checking is performed, then system complexity is reduced, but quality control accuracy decreases and time loss increases
Solution Approach 1:
The patent replaces manual quality inspection with automated scanners that read chip data containing quality parameters. The computing device processes this data to determine container routing decisions, providing precise quality control without the time loss and subjectivity of manual checking.
Solution Approach 2:
The system introduces chips as intermediaries that store quality parameter data. Instead of directly inspecting physical materials, the scanner reads this stored data, and the computing device uses it as a mediator to make intelligent routing decisions, ensuring accurate quality control with minimal system complexity.
4Reliability
If manual material distribution planning is performed, then system cost is reduced, but error rate in material distribution increases
Solution Approach 1:
The system enables autonomous decision-making through the computing platform that automatically processes chip data, determines optimal container routing, and coordinates movement without human intervention. This self-service capability eliminates manual planning errors while the modular architecture keeps system complexity manageable.
Solution Approach 2:
The system implements continuous feedback loops where scanners read container chip data, the computing device processes this information to determine routing decisions, and the system monitors container movement to ensure accurate material distribution. This automated feedback mechanism eliminates manual planning errors.
Data Source
AI summary
The present invention discloses a computing platform (100) for movement of one or more containers (102) and method thereof. The present invention provides an improved platform and method for use in an industrial automation environment. Each container (102) includes a chip (104) having container related data. A scanner (108) scans the chip (104), and detect placement related data, and information pertaining to quality parameters of associated material filled in the container (102). A measurement module (110) measures the quality of material. The processing unit (112) assigns the characteristics of the carding machine (106) to the chip (104), and process the container (102) from the assigned carding machine (106) to a second carding machine. The indicator (114) generates an indicating signal. The output generation module (116) generates an output based on the signal, the measured quality, and the characteristics. The report generation module (118) generates a report.