Basket Shuttle Supervision for Automated Treatment Plant Flow
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Solution Overview
Problem
Existing treatment plants for medical instruments and other objects in hospital facilities face issues such as interaction and connection problems between control devices, manual initiation of shuttle movements, and inefficiencies leading to cycle slowdowns or interruptions, which hinder automation and increase operating times.
Innovation Solution
A plant and method utilizing a supervision system with visual acquisition means and a central control unit to automate shuttle movements, ensuring efficient tracking and movement of baskets between pre-treatment stations and treatment machines, using unmanned shuttles equipped with control devices and visual indication means to ensure precise basket positioning and machine availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple autonomous shuttles and control devices are used to transport baskets between pre-washing stations and treatment machines, then the treatment plant can operate in parallel with higher productivity, but interaction and connection problems between control devices occur, leading to software and hardware issues
Solution Approach 1:
A central control unit is introduced as an intermediary to manage all shuttles and treatment machines. The central control unit receives basket information from pre-washing stations, determines optimal machine assignments, and coordinates shuttle movements, thereby eliminating direct interaction problems between multiple autonomous control devices while maintaining parallel operation capability
Solution Approach 2:
The central control unit serves multiple functions: it acts as a traffic controller for shuttles, a scheduler for treatment machines, a tracker for baskets, and a coordinator for the entire system. This multi-functional approach consolidates control responsibilities and reduces the complexity of inter-device communication
2Reliability
If manual input from operators is required to start shuttle movements, then the system can be simpler to implement, but treatment cycles experience slowdowns or interruptions when operators are not careful or unable to initiate movements
Solution Approach 1:
The system automatically detects when baskets are ready at pre-washing stations and autonomously initiates shuttle movements without requiring operator intervention. The central control unit continuously monitors system status and triggers shuttle dispatches based on real-time conditions, ensuring continuous operation while maintaining simplicity through automated decision-making
3Measurement precision
If baskets are transported manually or with simple automation, then the system is easier to implement, but tracking and positioning accuracy of baskets between stations deteriorates
Solution Approach 1:
The system replaces manual or simple mechanical tracking with an automated visual acquisition system using cameras and image processing. The central control unit captures images of baskets, automatically identifies their positions and statuses, and uses this visual information for precise tracking and positioning, thereby achieving high measurement precision without complex mechanical positioning mechanisms
Data Source
Figure 1~2
Figure 3~5
AI summary
Plant (10) for treating objects (G) comprising a plurality of pre-treatment stations (11, 12, 13), a plurality of pick-up benches (15) for picking up baskets (100) containing pre-treated objects (G), a plurality of treatment machines (16, 17, 18, 19, 20), and at least one unmanned shuttle (21) which is mobile between the pick-up benches (15) and respective inlet apertures (26) of the treatment machines (16, 17, 18, 19, 20). The plant (10) comprises a supervision system (35) provided with visual acquisition means (36) connected to a central control unit (37).