Parallel Sensor Data Evaluation Units for High-Throughput Banknote Processing
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Solution Overview
Problem
High-throughput banknote processing systems require rapid evaluation of large volumes of sensor data, necessitating high computing power, which is often expensive and complex, and the requirements can vary based on the number and type of sensors and processing speed.
Innovation Solution
A system with at least two evaluation units and a data bus, where each unit has interfaces for receiving and transmitting sensor data streams, a processor for evaluation, and a forwarding device for partial forwarding and storage, allowing for parallel evaluation using simpler processors and reducing the need for expensive hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If high computing power is used to process sensor data in real time, then processing speed is improved, but device complexity and cost increase
Solution Approach 1:
The evaluation system is divided into multiple independent evaluation units (first evaluation unit, second evaluation unit, etc.), each capable of processing sensor data in parallel. This segmentation allows the system to achieve high processing speeds without requiring a single complex high-power processor, thereby resolving the contradiction between processing speed and device complexity
Solution Approach 2:
Multiple evaluation units are combined to work together on the same sensor data stream, with each unit performing different evaluation tasks or processing different portions of the data. This merging of multiple simple processors achieves the computational power of a complex processor while maintaining lower individual component complexity
2Speed
If high computing power is used to process sensor data in real time, then processing speed is improved, but cost increases
Solution Approach 1:
The system uses multiple standard evaluation units instead of a single high-performance processor. Each evaluation unit can be manufactured using standard, cost-effective components, and their parallel arrangement achieves the required processing speed without the prohibitive cost of a single powerful processor
Solution Approach 2:
The evaluation units are designed to be relatively simple and potentially replaceable components. Rather than investing in expensive, complex processors, the system uses multiple simpler units that can be manufactured more cheaply and replaced if needed, reducing overall system cost
3Measurement precision
If the number of sensors is increased to improve detection capability, then measurement precision is improved, but the amount of sensor data increases requiring more computing power
Solution Approach 1:
The sensor data processing is segmented across multiple evaluation units, with each unit handling a portion of the data or performing a specific type of analysis. This distribution prevents any single processor from becoming overwhelmed by the increased data volume from multiple sensors
Solution Approach 2:
Each evaluation unit is designed to be multi-functional, capable of processing data from different sensor types and performing various evaluation tasks. This universality allows the system to handle data from multiple sensors without requiring specialized processing hardware for each sensor type
Data Source
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AI summary
Disclosed is a system for evaluating a stream of sensor data, which are formed by means of at least one sensor for a plurality of value documents, comprising at least two evaluation units and a data bus, each of the evaluation units having first and second interfaces for receiving and transmitting the sensor data stream with the sensor data, a third interface for receiving and/or transmitting evaluation data, a main memory, at least one process connected to the main memory for evaluating the sensor data in the main memory, and a forwarding device, which is connected to the first and the second interfaces and to the main memory for receiving a sensor data stream that is received via the first interface, at least partial forwarding to the second interface, and the at least partial forwarding for storing at least one portion of the data of the sensor data stream in the main memory, the data bus being connected to each of the third interfaces.