IoT Interaction Engine Runtime Self-Configuration
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Solution Overview
Problem
The increasing complexity and cost of developing IoT solutions due to the growing number of interconnected devices and services, which requires extensive coding and skilled resources, and the need for a scalable and flexible solution to adapt to changing environmental conditions without human intervention.
Innovation Solution
An IoT interaction system with a processor, memory, and I/O device, featuring an interaction engine unit with reusable software components that can be configured by users to create control flows and service components, dynamically reconfiguring at runtime based on environmental conditions through a configuration and execution unit, including a self-commanding logic and machine learning module for AI-driven adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If IoT applications are built with hard-coded service and interaction logic to integrate IoT products and services, then the solution works for a fixed set of products and services, but the development time increases, cost increases, complexity increases, and higher skilled resources are needed when the number of IoT products and services increases
Solution Approach 1:
The patent implements dynamic interaction logic that can be configured and modified at runtime without requiring application redeployment. The system allows interaction logic to adapt to changing sets of IoT products and services through configuration files and runtime compilation, transforming static hard-coded logic into dynamic configurable logic.
Solution Approach 2:
The patent segments interaction logic into modular components that can be independently configured and managed. By dividing the monolithic interaction logic into separable units that can be selectively compiled and executed, the system handles increased complexity through modular organization rather than monolithic growth.
2Adaptability or versatility
If more IoT products and services are integrated into a solution, then the solution becomes more comprehensive and versatile, but the development cost and time increase significantly
Solution Approach 1:
The patent performs preliminary configuration of interaction logic through configuration files that define service interactions before runtime. This advance preparation allows the system to quickly adapt to new IoT products and services without requiring extensive development time, as the framework and interaction patterns are pre-established.
Solution Approach 2:
The patent creates a universal interaction framework that can handle multiple IoT products and services through common interaction logic patterns. This multi-functional approach allows the same framework to serve diverse IoT integrations, reducing development time for each new product or service addition.
3Stability of the object's composition
If interaction logic is hard-coded in IoT applications, then the solution is stable for fixed configurations, but the system cannot adapt to changing environmental conditions without human intervention and re-development
Solution Approach 1:
The patent implements dynamic interaction logic that can be configured and modified at runtime without requiring application redeployment. The system allows interaction logic to adapt to changing sets of IoT products and services through configuration files and runtime compilation, transforming static hard-coded logic into dynamic configurable logic.
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor runtime environmental conditions and trigger automatic reconfiguration of interaction logic. The system detects changes in the IoT environment and automatically adjusts interaction patterns, providing continuous adaptation without human intervention through closed-loop feedback control.
4Adaptability or versatility
If developers spend large amounts of effort coding interaction logic for IoT solutions, then the solution can be customized for specific needs, but the cost and resource requirements increase
Solution Approach 1:
The patent implements self-service capabilities where the system automatically generates and configures interaction logic based on predefined patterns and configuration files. This reduces developer effort by enabling the system to self-configure interactions between IoT products and services, while still maintaining customization through configuration-driven approaches.
Solution Approach 2:
The patent uses template-based interaction logic that can be copied and adapted for different IoT scenarios. Rather than coding unique interaction logic for each case, the system replicates and customizes proven interaction patterns, reducing development effort while maintaining solution quality and adaptability.
Data Source
AI summary
A system is provided. The system includes a processor, a memory, and an I/O device, an interaction engine unit stored in the memory and including a plurality of reusable software components. The plurality of the reusable software components is configured by a user, through a configuration process, to create at least one control flow and at least one service component representing at least one service. The at least one control flow executes a configured logic upon receipt of at least one event. The at least one control flow controls interactions among the at least one services or the at least one service to the at least one event. And, the interaction engine unit dynamically reconfigures the system configuration at run time based on at least one environmental condition.