IoT 3D Adaption Matrix Linking Interface, Data, and Storage Layers
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Solution Overview
Problem
Existing IoT systems face challenges in optimally exploiting the capabilities of the IoT Storage layer and IoT Interface layer due to the limitations of the IoT Data Structure layer, leading to sub-optimal data access and interaction mechanisms.
Innovation Solution
A 3D Adaption Matrix with specified adaption rules is used to define and interlink the IoT Interface, Data Structure, and Storage layers, enabling flexible manipulation of dependencies between these layers, allowing for optimal resource utilization and automatic generation of an IoT Interface layer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the IoT Data Structure layer is used with limited functionality, then the system is simpler to implement, but the capabilities of the IoT Storage layer and IoT Interface layer cannot be optimally exploited
Solution Approach 1:
The patent implements dynamic adaptability by enabling the IoT Data Structure layer to automatically adjust its data structure models and interaction mechanisms based on the specific capabilities and requirements of the IoT Storage layer and IoT Interface layer. This allows the system to optimize resource utilization dynamically rather than being constrained by fixed data structure limitations.
Solution Approach 2:
The patent changes the parameters of the data structure layer by introducing flexible data structure models that can be configured to match different storage and interface capabilities. This allows the system to adapt the data representation and access patterns to fully exploit the underlying hardware and software capabilities.
2Adaptability or versatility
If the IoT Data Structure layer uses complex data structures, then better exploitation of storage capabilities is achieved, but the interaction mechanism becomes more complex
Solution Approach 1:
The patent introduces an adaptive data structure layer that acts as an intermediary between the storage layer and the interface layer. This mediator automatically handles the complexity of data structure transformations and optimizations, allowing simple interaction mechanisms to access complex storage capabilities without exposing the complexity to the user.
Solution Approach 2:
The patent segments the data structure functionality into distinct layers: the adaptive data structure layer handles complex storage optimizations, while the interface layer maintains simplicity. This segmentation allows each layer to be optimized independently without compromising the other.
3Ease of manufacture
If standard data structures are used in the IoT Data Structure layer, then implementation is easier, but resource utilization is sub-optimal
Solution Approach 1:
The patent implements dynamic resource optimization by enabling the data structure layer to automatically select and configure appropriate data structure models based on the specific resource characteristics and application requirements. This dynamic adaptation allows optimal resource utilization without requiring complex manual configuration.
Solution Approach 2:
The adaptive data structure layer automatically optimizes resource utilization without external intervention. It self-configures the data structure models and interaction mechanisms to fully exploit the capabilities of the underlying storage and interface layers, eliminating the need for manual optimization.
Data Source
AI summary
The present invention relates to an Internet of Things, IoT, structure comprising application layers with a 3D Adaption Matrix, a server for an IoT structure, a device for an IoT application and a method for manipulating dependencies between the application layers. The 3D Adaption Matrix includes adaption rules, which adaption rules are specified once and which adaption rules enable specifying dependencies between the application layers. A module of the IoT structure is configured to employ the adaption rules for an IoT application.