Metadata-Driven Device Integration Without Baseline Code Changes
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Solution Overview
Problem
Existing systems face challenges in integrating new devices without disrupting the system, requiring constant code updates for vendor changes, and lack real-time maintenance capabilities without taking devices offline.
Innovation Solution
A system that allows non-disruptive integration and maintenance by using metadata for device definitions, custom settings, and AI-driven decision engines to manage device modes and user privileges, enabling real-time integration and maintenance without affecting other system users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If new devices are integrated into the system, then system functionality and versatility are improved, but system stability and reliability deteriorate due to potential disruptions and code changes
Solution Approach 1:
The system segments device integration into isolated environments (integration environment and production environment). New devices are integrated in the integration environment without affecting the stable production environment. This segmentation allows versatility improvement while maintaining system stability through environmental isolation.
Solution Approach 2:
The system introduces an intermediary approval mechanism where device integrators and system administrators act as mediators. Devices integrated in the integration environment must be approved before deployment to production. This intermediary approval process ensures that only validated devices reach the production environment, maintaining reliability while enabling adaptation.
2Adaptability or versatility
If system code is updated to support vendor changes, then adaptability to new devices is improved, but system complexity and maintenance difficulty increase
Solution Approach 1:
The system extracts device-specific integration logic and vendor-specific code changes into the integration environment, separating them from the core production system. This extraction allows vendor changes to be tested and validated independently without complicating the production codebase, maintaining adaptability while reducing complexity.
Solution Approach 2:
The system uses configuration files and metadata to define device parameters and behaviors, allowing adaptability to vendor changes through parameter modifications rather than code changes. This approach enables flexibility while keeping the system codebase simple and maintainable.
3Reliability
If devices are taken offline for maintenance, then device reliability is improved, but system productivity and availability deteriorate
Solution Approach 1:
The system performs maintenance actions in the integration environment before deploying to production. Device integrators can update, test, and validate device configurations and code in the integration environment, ensuring devices are ready for production without requiring offline maintenance. This preliminary action in the integration environment maintains productivity while ensuring reliability.
Solution Approach 2:
The system maintains continuous operation of production devices by enabling maintenance and updates in the integration environment without interrupting production workflows. Devices remain online and functional in production while parallel development and maintenance occur in the integration environment, ensuring both maintainability and continuous productivity.
4Measurement precision
If device integration testing is performed in production environment, then integration accuracy is improved, but system harmful factors increase due to potential disruptions to users
Solution Approach 1:
The system segments the testing environment from the production environment, creating a dedicated integration environment for testing. This segmentation allows integration testing to be performed with high accuracy and thoroughness without exposing production users to potential disruptions or harmful factors.
Solution Approach 2:
The system applies preliminary anti-action by requiring approval of integrated devices before deployment to production. The approval process acts as a preventive measure, ensuring that only thoroughly tested and validated devices are deployed, thereby preventing potential user disruptions before they occur.
Data Source
AI summary
In an approach to non-disruptive system enhancements and integrations, the system including: one or more computer processors; one or more computer readable storage media; and program instructions stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors. The stored program instructions including instructions to: connect one or more devices to the system, wherein each device of the one or more devices is connected to the system without changing a baseline system code; assign a mode to each device; receive an event from any device of the one or more devices; determine whether each user of one or more users of the system has an appropriate privilege; and send the event to each user of the one or more users that has the appropriate privilege.