Auto-Generated Coordination Logic for Multi-Device Smart Environments
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Solution Overview
Problem
Traditional systems for smart and robotics environments require manual development and customization, are inflexible, expensive, and lack automation for creating control and monitoring solutions, making it difficult to adapt to changing needs and integrate multiple devices from different manufacturers.
Innovation Solution
A method and system for auto-generating control and monitoring solutions by capturing domain knowledge and device capabilities, synthesizing coordination control logic, and generating corresponding codes to automate device interactions and task execution in smart and robotics environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual development and customization is used for each smart environment solution, then the solution can be tailored to specific customer needs, but the development time and cost increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-defining control logic templates and device capability models before actual solution deployment. The system captures domain knowledge and device capabilities in advance, synthesizes coordination control logic templates that can be reused across multiple solutions, and pre-establishes the framework for device interactions. This allows rapid customization for specific customers without starting from scratch each time, directly reducing development time while maintaining adaptability.
2Reliability
If traditional centralized control systems are used with custom programming, then specialized control tasks can be executed, but the system becomes difficult to adapt and requires complete software revision when new devices are added
Solution Approach 1:
The patent segments the control system into modular components: device capability models, control logic templates, and coordination layers. Each device is represented as an independent capability model with defined interfaces, and control logic is segmented into reusable templates. This segmentation allows new devices to be integrated by adding their capability models without revising the entire system, while specialized control tasks are achieved through composition of segmented logic modules.
Solution Approach 2:
The patent implements universality through control logic templates that can serve multiple specialized control tasks. The synthesized coordination control logic is designed to work across different device types and scenarios, allowing the same template framework to execute specialized tasks in meeting rooms, smart homes, or other environments. This eliminates the need for complete software revisions when adapting to new devices or tasks.
3Adaptability or versatility
If expert programmers are used to reprogram control systems for new functions, then new functions can be implemented, but the cost and complexity increase
Solution Approach 1:
The patent applies copying by creating reusable control logic templates that can be replicated and adapted for different functions. Instead of programming each function from scratch, the system copies existing validated control logic templates and modifies them for new requirements. This reduces programming complexity and costs while maintaining the ability to implement new functions, as the templates encapsulate proven control patterns that can be instantiated multiple times.
4Adaptability or versatility
If complex standards and protocols are adopted for device interoperability, then devices from different manufacturers can communicate, but the system complexity and integration difficulty increase
Solution Approach 1:
The patent introduces an intermediary layer in the form of capability models and control logic templates that mediate between diverse devices and the control system. Instead of directly integrating complex device protocols, the system uses standardized capability models as intermediaries that abstract device-specific complexities. This intermediary layer simplifies interoperability by providing a uniform interface for device communication while handling manufacturer-specific protocols behind the scenes, reducing integration complexity.
Data Source
AI summary
Systems and methods for auto-generating a control and monitoring solution for smart and robotics environments. The traditional systems and methods provide solutions for the smart and robotics environments by manually generating codes but none of them provide for auto-generation of the control and monitoring solutions and the corresponding coordination logics. Embodiments of the present disclosure provide for auto-generating the control and monitoring solution by capturing a set of domain knowledge and information on capabilities of a plurality of devices by an accumulator module (201), auto-generating a controlled coordination logic based upon the set of domain knowledge and the capabilities information by a control logic synthesizer module (202) and auto-generating, by an implementation module (203), the control and monitoring solution for the smart and robotics environments based upon the coordination control logic.