RFID Edge Server WSRM Security Data Filtering
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Solution Overview
Problem
RFID edge servers face challenges in managing large volumes of data from multiple RFID readers, including duplicative responses, CPU and resource constraints, and the need for efficient data filtering and integration with existing systems, which affects scalability and reliability in supply chain management.
Innovation Solution
Implementing a J2EE-based RFID edge server with non-blocking I/O, message filtering, and store-and-forward messaging, along with security plug-ins and Web Service Reliable Messaging (WSRM), to manage RFID reader data efficiently and securely, and facilitate integration with legacy systems and EPCIS services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If RFID edge server processes large volumes of data from multiple RFID readers, then data tracking capability is improved, but CPU and resource constraints worsen
Solution Approach 1:
The patent segments the data processing workload by implementing message filtering that separates duplicative responses from unique events at the edge server level. This segmentation reduces the volume of data requiring full processing, thereby improving tracking capability while reducing CPU resource consumption.
Solution Approach 2:
The patent extracts and removes duplicative responses from the data stream before further processing. By taking out redundant messages through filtering mechanisms, the system maintains comprehensive tracking capability while significantly reducing the quantity of data that consumes CPU resources.
2Measurement precision
If RFID edge server implements comprehensive data filtering, then data accuracy is improved, but device complexity worsens
Solution Approach 1:
The patent applies preliminary filtering actions at the edge server to remove duplicative responses before data is forwarded to central systems. This preliminary action ensures data accuracy is improved while the filtering logic is implemented as standardized protocols rather than complex custom algorithms.
Solution Approach 2:
The patent introduces an intermediary filtering layer at the edge server that mediates between raw RFID data and central processing systems. This intermediary implements filtering rules using standard protocols and data structures, improving data accuracy without requiring complex device architecture.
3Reliability
If RFID edge server uses store-and-forward messaging, then message delivery reliability is improved, but data traffic volume worsens
Solution Approach 1:
The patent applies store-and-forward messaging with preliminary filtering to reduce data traffic volume before messages are stored and forwarded. By filtering duplicative responses beforehand, the system maintains reliable message delivery while reducing the overall volume of data that requires storage and forwarding operations.
4Adaptability or versatility
If RFID edge server integrates with legacy systems and EPCIS services, then system adaptability is improved, but device complexity worsens
Solution Approach 1:
The patent implements universal integration interfaces that allow the RFID edge server to communicate with multiple legacy systems and EPCIS services through standardized protocols. This multi-functionality approach improves system adaptability while avoiding the need for separate complex integration modules for each system.
Solution Approach 2:
The patent introduces intermediary communication layers that mediate between the RFID edge server and various legacy systems. These intermediaries use standardized data formats and protocols, improving adaptability to different systems while keeping the core server architecture relatively simple.
Data Source
AI summary
An RFID edge server can associate with multiple RFID readers at a location. The RFID edge server can include an application server using a Web Services Reliable Messaging to transfer RFID data.