Structured Data Store for IoT Interoperability
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Solution Overview
Problem
Current software architecture patterns and communication protocols lack an abstraction layer capable of supporting universal interoperability among machines, leading to fragmented systems and costly integrations in the Internet of Things (IoT) ecosystem.
Innovation Solution
A structured program transfer protocol (SPTP), object event processor (OEP), and object view generator (OVG) within a structured data store (SDS) facilitate unified and normalized management of objects across machines, enabling efficient data and metadata transfer and processing through a two-dimensional dataset structure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional software architecture patterns and communication protocols are used, then existing systems can operate independently, but interoperability among machines is poor and integration costs are high
Solution Approach 1:
The patent implements a universal object dataset structure that can represent any machine or device across different domains. This standardized structure enables diverse machines to communicate through a common interface, achieving multi-functionality and universal interoperability without requiring separate integration approaches for each machine type
Solution Approach 2:
The patent introduces an intermediary layer consisting of the structured data store, object event processor, and object view generator. This intermediary translates between different machine representations and a unified object model, facilitating communication while isolating the complexity of individual machine differences
2Ease of manufacture
If machine-specific data structures are used, then each machine can be optimized independently, but systems become fragmented and integration becomes costly
Solution Approach 1:
The patent merges disparate machine-specific data structures into a unified object dataset structure. By combining multiple machine representations into a single standardized format, the system eliminates fragmentation and reduces integration costs while maintaining the ability to represent diverse machine types
3Adaptability or versatility
If no standardized abstraction layer is implemented, then implementation is simpler, but universal interoperability cannot be achieved
Solution Approach 1:
The patent adds an abstraction dimension between physical machines and their representations. By introducing the object dataset structure as an intermediate dimensional layer, the system achieves universal interoperability without significantly increasing apparent complexity, as the abstraction handles machine diversity transparently
Data Source
AI summary
Unified and normalized management of an object within a structured data store on any machine and/or across difference machines. In an embodiment, a first resource on a first machine accesses an events dataset representing a two-dimensional structure. Each row in the events dataset comprises a plurality of event types, an identification of an entity, and an identification of an object representing a unique instance of the entity. Each row in the events dataset is processed based on its event type to create, update, or delete the object identified in the row. In a second embodiment, a first resource on a first machine accesses a view definition dataset comprising an identification of one or more attributes of one or more related entities and an identification of one or more objects of the one or more related entities. The view definition dataset is processed to retrieve attribute values for the objects and attributes identified in the view definition dataset.