Configurable Integration Infrastructure for Software Controllers
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Solution Overview
Problem
Existing software systems face challenges in scaling and code reusability due to the lack of context for fully integrated systems, leading to unintended consequences from changes in one application affecting others, and reducing the portability and integrability of software segments.
Innovation Solution
A method involving a processor connected to a network that receives an indication of a controller connecting, queries a data model for information based on a unique identifier, identifies compatible controllers, and integrates them into the network by transmitting unique identifiers and determining data transformations and capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software applications are developed by different entities without a standardized integration framework, then each application can be developed independently with its own context, but changes in one application have unintended consequences for other applications and code reusability is reduced
Solution Approach 1:
The system is segmented into independent software applications that communicate through a standardized integration framework. Each application maintains its own context and data models while interacting with others through defined interfaces, allowing independent development and deployment without affecting system stability
Solution Approach 2:
A standardized integration framework acts as an intermediary layer between different software applications. This framework provides common data models, communication protocols, and integration patterns that mediate interactions between applications, preventing unintended consequences from direct integration
2Reliability
If code is modified to accommodate changes in another application, then integration between applications is maintained, but code reusability is reduced due to tailoring to specific hardware or system
Solution Approach 1:
The integration framework provides universal interfaces and common data models that work across multiple applications and hardware platforms. Code developed using these standardized interfaces can be reused across different contexts without modification, maintaining both integration compatibility and code reusability
3Productivity
If software systems scale with multiple applications from different entities, then system functionality increases, but complexity of integration and management increases
Solution Approach 1:
The system architecture is segmented into independent modular applications that can be developed, deployed, and managed separately. This modular approach allows system functionality to scale while keeping integration complexity manageable through standardized interfaces
Solution Approach 2:
The framework provides comprehensive integration capabilities that may be more than needed for simple cases, but this excess capability allows the same framework to handle both simple and complex integration scenarios uniformly, reducing overall complexity
Data Source
AI summary
A method includes receiving, by a processor that is connected to a network, an indication of a first controller connecting to the network, the indication including a first unique identifier for the first controller, querying a data model for information about the first controller based at least in part on the first unique identifier for the first controller, wherein the information includes a first data type that is processed by the first controller, identifying, in response to the query of the data model, a second controller that is connected to the network that processes a second data type that is compatible with the first data type, the second controller having a second unique identifier, and integrating the first controller into the network including transmitting the first unique identifier to the second controller and transmitting the second unique identifier to the first controller.


