Valuable-Object Handling Control for Dynamic Processing Paths
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Solution Overview
Problem
Existing systems for processing valuable objects, such as bank notes, require significant manual intervention and are not adaptable to changing delivery conditions, leading to inefficiencies and security risks, particularly during high-demand periods like festivals or the Christmas season.
Innovation Solution
A mechatronic system with configurable processing stages and temporary storages that utilize advance information about object deliveries to optimize transport and processing paths, allowing flexible and efficient handling of objects of value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specialized machines process objects of value in fixed sequences through high-security areas, then security is maintained, but processing time increases and efficiency decreases during high-demand periods
Solution Approach 1:
The system dynamically adjusts processing paths based on real-time conditions and advance information. Objects of value can be routed through different security levels depending on their processing stage and time-criticality, allowing the system to optimize throughput during high-demand periods while maintaining appropriate security measures.
Solution Approach 2:
The system uses advance information about upcoming deliveries and processing requirements to pre-plan optimal paths and resource allocation. This allows the system to prepare processing sequences in advance, reducing wait times and improving overall efficiency without compromising security protocols.
2Ease of manufacture
If objects of value are manually prepared and transported in fixed container sizes, then system compatibility is maintained, but adaptability to varying delivery volumes decreases
Solution Approach 1:
The system segments the preparation and transport process into modular stages. Instead of requiring all objects to be processed in fixed-size containers, the system can handle objects in variable batches across multiple processing stages, with intermediate storage allowing flexible reconfiguration of processing sequences.
Solution Approach 2:
The system employs multi-functional processing stages that can handle different types and volumes of objects of value. The same infrastructure can process various delivery sizes by dynamically adjusting which processing stages are activated and how objects are routed between them.
3Adaptability or versatility
If multiple manual processing steps are used for preparation and assembly, then flexibility in handling different object types is maintained, but personnel costs and security risks increase
Solution Approach 1:
The system implements automated self-service capabilities where objects of value are automatically routed, prepared, and assembled based on pre-programmed sequences and advance information. The system can autonomously determine optimal processing paths and execute them without continuous manual intervention, reducing personnel requirements while maintaining handling flexibility.
Solution Approach 2:
The system replaces manual mechanical operations with automated control systems that use advance information to orchestrate processing sequences. Automated guides and control mechanisms substitute for human decision-making in routing and sequencing, reducing personnel costs while maintaining or improving flexibility through programmable adaptability.
4Device complexity
If fixed processing sequences are used for all object deliveries, then system simplicity is maintained, but efficiency during high-demand periods decreases
Solution Approach 1:
The system transitions from fixed to dynamic processing sequences that adapt based on advance information about delivery characteristics and system state. The control system can reconfigure processing paths and stage activations in real-time, allowing simple base architecture to achieve complex adaptive behavior during high-demand periods.
Data Source
AI summary
A method is provided for controlling a system or a device for recognizing, checking, counting, accounting and sorting objects of value, which can be automatically adapted to changing delivery and demand conditions. A control controls the transport paths and processing steps within the device with the aid of conveyor plants and corresponding diverters and optimizes them in such a way that the objects of value are transported in a targeted fashion to the processing stages which are necessary for the processing of the objects of value. The control takes into account information about the components of the device as well as the inbound-delivered objects of value and the objects of value to be delivered outbound in order to ensure optimal processing of the objects of value or to deliver ordered packs of objects of value outbound as quickly as possible.