Intelligence Enabled Things Tags for Autonomous Self-Reporting
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Solution Overview
Problem
Conventional IoT systems lack the ability for IoT devices to analyze their own statuses and situations, and perform tasks autonomously, limiting their self-reporting capabilities and efficiency in complex assemblies like buildings and vehicles.
Innovation Solution
Implementing Intelligence Enabled Things (IET) tags that receive information about objects and nearby objects, determine their status based on received data, and autonomously self-report to a computing system when thresholds are exceeded, enabling self-awareness and efficient assembly or maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional IoT systems are used, then data collection and central processing is achieved, but device autonomy and self-analysis capability is lost
Solution Approach 1:
The system segments the autonomous decision-making capability into individual IET tags distributed across multiple objects. Each tag independently analyzes its own status and communicates with others, enabling device autonomy without requiring a single complex centralized system. This segmentation allows simple, low-cost tags to achieve intelligent behavior through distributed collaboration.
Solution Approach 2:
The IET tag is designed as a universal component that can be applied to any object regardless of its specific function or type. The same basic tag structure with sensors, processor, and communicator enables diverse objects to perform autonomous analysis and communication, eliminating the need for function-specific complex systems.
2Productivity
If centralized processing is used, then data analysis capability is centralized, but self-reporting efficiency and response time deteriorate
Solution Approach 1:
IET tags continuously perform preliminary analysis of their own status in advance, comparing current conditions against predetermined thresholds locally. This preliminary action enables immediate self-reporting when conditions change, eliminating the time delay associated with centralized data processing and enabling rapid response to critical conditions.
Solution Approach 2:
The system implements a feedback mechanism where IET tags continuously monitor their own status, compare it against thresholds, and autonomously trigger self-reporting when conditions are met. This closed-loop feedback enables efficient real-time decision-making and reporting without waiting for centralized processing, significantly improving response time.
3Adaptability or versatility
If simple data collection is used, then system simplicity is maintained, but intelligence and autonomous decision-making capability is lost
Solution Approach 1:
The IET tag is designed to be self-sufficient, containing all necessary components (sensors, processor, communicator, memory) to autonomously analyze its own status and make decisions. This self-service capability embeds intelligence directly in the tag without requiring complex external systems, allowing simple individual tags to achieve versatile autonomous behavior through their own internal resources.
Data Source
AI summary
Novel tools and techniques are provided for implementing intelligence enabled things (“IET”). In various embodiments, a first IET tag affixed to a first object among a plurality of objects might receive information regarding the first object and/or nearby objects. The first IET tag might determine a status of the first object and/or the nearby objects based at least partly on the received information and based at least partly on first data assigned to the first IET tag. The first IET tag might analyze the determined status to determine whether the determined status exceeds predetermined thresholds for normal parameters for the first object and/or the nearby objects. Based on a determination that the determined status exceeds predetermined thresholds for normal parameters for the first object and/or the nearby objects, the first IET tag might autonomously self-report to a computing system a state of the first object and/or the nearby objects.