IoT Device Automatic Configuration via Semantic Analysis
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Solution Overview
Problem
Current IoT devices in smart environments, such as buildings and homes, lack the ability to dynamically and intelligently manage and configure multiple devices and sensors, limiting their effectiveness in supporting dynamic and automated operations.
Innovation Solution
An automatic configuration method and device that utilizes IoT technology, semantic technology, and machine learning to create a data analysis-based automation system, which includes an automation domain knowledge database, a data set domain knowledge database, and a specification manager to automatically register, control, and analyze IoT devices, enabling optimal usage and data analysis without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed registration and operation level are used through presetting, then device operation is simplified, but the system cannot support frequent device installations, replacements, and deletions in dynamic intelligent spaces
Solution Approach 1:
The system enables self-service through automatic device registration and configuration. When a new IoT device is installed, the system automatically detects it, retrieves its specification information, determines its type (control or sensing), and configures it without requiring manual intervention. This resolves the contradiction by making the system adaptable to frequent device changes while keeping the operation simple for users.
Solution Approach 2:
The system performs preliminary action by pre-configuring device categories and specification criteria before devices are installed. The specification manager has ready-made classification rules for different device types, so when devices are frequently installed or replaced, the system can quickly process them using pre-established criteria, reducing configuration complexity.
2Extent of automation
If manual configuration and registration of IoT devices is performed, then device functionality can be customized, but the process requires human intervention and time
Solution Approach 1:
The system implements self-service by enabling IoT devices to automatically register themselves with the server. Devices transmit their specification information automatically upon connection, and the specification manager autonomously processes registration, determines device types, and configures settings without human intervention, achieving full automation and eliminating time loss.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated electronic systems. Instead of manually configuring devices through interfaces and settings, the system uses automated specification analysis, machine learning-based device type determination, and electronic configuration transmission, substituting human operations with automated computational processes that are faster and more efficient.
3Reliability
If comprehensive specification information is collected and analyzed for each IoT device, then optimal functional usage and data analysis can be achieved, but system processing complexity increases
Solution Approach 1:
The system applies segmentation by dividing the specification management process into distinct modules: specification information reception, device type determination (control or sensing), configuration generation, and data set assignment. The specification manager handles different device types through separate processing paths, reducing overall system complexity while maintaining high reliability through specialized handling of each device category.
Solution Approach 2:
The specification manager acts as an intermediary between device specification information and the configuration system. It receives comprehensive specification data, processes it through automated analysis, determines device types, and translates this information into appropriate configurations and data set assignments. This intermediary role simplifies the system architecture by centralizing complex processing logic in one component while maintaining accurate device function determination.
Data Source
AI summary
An automatic configuration device, for an Internet-of-Things (IoT) device, which operates a data analysis-based automation system includes when various types of IoT devices are registered in a system, a data analysis-based automation system for supporting both use of functions of the IoT devices and an effective analysis of collected data.