Social Identity of Objects System for IoT Context
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Solution Overview
Problem
Current Internet of Things (IoT) systems lack the ability to assign rich contextual information and associations to objects beyond typical devices, failing to represent items like books, guitars, or stagecoaches as interactive nodes with specific identification and personality.
Innovation Solution
A system for creating a social identity of objects (SIO) using unique SIO codes, which are machine-readable and can be captured using imaging mechanisms, allowing objects to be registered, associated with descriptive and contextual information, and linked to persons and stories, enabling hierarchical nesting and virtual entity instantiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If objects are assigned unique identification and rich contextual information in IoT systems, then object representation and interaction capabilities are improved, but device complexity and system requirements increase
Solution Approach 1:
The patent uses digital copies and representations of physical objects to store and transmit their identities and contextual information. Instead of modifying physical objects, the system creates virtual representations (digital twins) that contain all necessary data about the object, its history, and its relationships, thereby achieving rich object representation without changing the physical objects themselves.
Solution Approach 2:
The patent introduces an intermediary information system that mediates between physical objects and digital representations. This intermediary layer handles the complexity of data management, object identification, and contextual association, allowing physical objects to remain simple while their digital representations provide the rich information and interaction capabilities.
2Loss of information
If comprehensive contextual information and associations are stored for objects, then information richness and object personality are improved, but data storage requirements and information management complexity increase
Solution Approach 1:
The patent segments object information into distinct categories: identification data, contextual information, historical data, and relationship data. This segmentation allows the system to manage comprehensive information in an organized manner, retrieving only the necessary portions of information for specific queries while maintaining the complete data structure for full contextual understanding.
Solution Approach 2:
The patent performs preliminary organization and structuring of information when objects are first registered in the system. Object characteristics, history, and associations are pre-organized into a standardized format that facilitates efficient retrieval and management. This preliminary structuring reduces the complexity of information management during subsequent operations.
3Ease of operation
If objects are enabled as interactive nodes with IP addresses in IoT, then network connectivity and object interaction are improved, but the scope and applicability to diverse objects increase complexity
Solution Approach 1:
The patent creates a universal identification and information management system that can apply to any type of object, from physical devices to abstract concepts. The same fundamental principles of unique identification, contextual information storage, and network connectivity are applied across diverse object types, enabling the system to handle everything from smart refrigerators to books to historical artifacts without requiring type-specific implementations.
Data Source
AI summary
A system for structured data collection for descriptions of objects in a social identity of objects (SIO) database has an SIO database, an SIO template database, an SIO input module, and at least one third party database. Characteristics of objects are identified, an input template is selected based on the object characteristics, search queries are constructed from the input template, and data for the SIO is retrieved from the third-party database.