Synchronization Layer for Auto-Generated Multi-Protocol IoT Mapping
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Solution Overview
Problem
Maintaining synchronization between states and attributes of IoT devices communicating via multiple protocols is challenging due to the complexity of existing solutions that require hardcoding mappings, preventing flexibility and scalability.
Innovation Solution
A synchronization layer is generated based on common clusters and attributes of different wireless protocols, stored as a multi-protocol file, and used to auto-generate a mapping table that ensures synchronization across protocols, allowing seamless operation and status updates between controllers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardcoding mappings is used to maintain synchronization between multiple protocols, then synchronization reliability is improved, but device complexity and lack of flexibility worsen
Solution Approach 1:
The patent uses JSON schema files as templates that can be copied and instantiated for different protocol combinations. Instead of hardcoding specific mappings, the system copies the structural framework and fills in protocol-specific details automatically, reducing complexity while maintaining reliability.
Solution Approach 2:
The system allows parameter changes by enabling dynamic configuration of mapping tables through JSON schema files. The mappings can be modified by changing parameters in the schema files rather than rewriting code, allowing adaptation to different protocols while maintaining the same architectural framework.
2Reliability
If hardcoding mappings is used to maintain synchronization between multiple protocols, then synchronization reliability is improved, but adaptability worsens
Solution Approach 1:
The patent creates a universal framework using JSON schema files that can serve multiple protocol combinations. The same schema structure can be adapted for different wireless protocols (Zigbee, Thread, Matter, etc.) by simply changing the protocol-specific parameters, making the system universally applicable without requiring protocol-specific hardcoding.
Solution Approach 2:
The system achieves adaptability through parameter changes in JSON schema files. Instead of hardcoding protocol-specific mappings, the system stores configurable parameters in schema files that can be dynamically loaded and applied, allowing the same core system to adapt to different protocol combinations by modifying these parameter files.
3Manufacturing precision
If manual configuration of multi-protocol mappings is performed, then mapping precision is improved, but productivity and time consumption worsen
Solution Approach 1:
The system performs self-service by automatically generating mapping tables from JSON schema files. Instead of requiring manual configuration of each mapping detail, the system reads the schema files and automatically creates the necessary mapping structures, reducing time consumption while maintaining precision through schema validation.
Solution Approach 2:
The patent applies preliminary action by defining the complete mapping structure in advance through JSON schema files. These schemas are prepared beforehand with all necessary mappings and validations, so when the system needs to generate actual mapping tables, it only needs to instantiate the pre-defined structure rather than creating mappings from scratch.
4Reliability
If existing multi-protocol solutions are implemented, then protocol compatibility is improved, but ease of manufacture and implementation worsen
Solution Approach 1:
The patent uses JSON schema files as copyable templates that define the complete mapping structure. These schemas can be copied and instantiated for different protocol combinations without requiring complex implementation code, making the system easier to manufacture and implement while maintaining protocol compatibility.
Solution Approach 2:
The system replaces manual mechanical configuration processes with automated software-based generation. Instead of requiring manual coding and configuration of mappings, the system uses automated scripts that read JSON schema files and generate the necessary mapping tables automatically, simplifying the manufacturing and implementation process.
Data Source
AI summary
In an embodiment, a method includes: for a first endpoint of a first wireless protocol and a first endpoint of a second wireless protocol, identifying a plurality of common clusters and a plurality of common attributes; generating a synchronization (sync) layer based at least in part on the plurality of common clusters and the plurality of common attributes; and storing the sync layer as a multi-protocol file in at least one non-transitory storage medium, which is accessible to a configuration tool, to enable devices to be configured with a mapping table based at least in part on the sync layer.