IoT Environment Configuration via Usage Pattern Analysis
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Solution Overview
Problem
In smart environments, users face challenges in determining the optimal configuration of connected objects and services, leading to underutilization of subscriptions and objects, as existing systems fail to account for the actual usage patterns of these devices and services.
Innovation Solution
A method and device for determining the operation of connected objects and services through different communication interfaces, transmitting configuration information based on usage patterns, such as operating time and frequency, to offer adapted configurations, and recommending modifications to improve system operation and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system provides multiple connected objects and services, then the service coverage and functionality are improved, but the complexity of configuration and user understanding increases
Solution Approach 1:
The system automatically analyzes usage data from connected objects and services, then autonomously generates configuration recommendations without requiring manual user analysis. The computer implements the determination of operation patterns and transmission of configuration information automatically, allowing the system to serve itself in optimizing its own configuration.
Solution Approach 2:
The system collects usage data from connected objects and services, analyzes operation patterns (such as operating time and frequency), and uses this feedback to generate configuration recommendations. This closed-loop feedback mechanism enables continuous optimization of system configuration based on actual usage patterns.
2Measurement precision
If the system tracks usage patterns of connected objects, then the configuration relevance is improved, but the data processing complexity increases
Solution Approach 1:
The system extracts only the essential usage pattern data (operation status, operating time, frequency) from the connected objects and services, separating this critical information from other unnecessary data. This extraction approach focuses processing on relevant metrics while ignoring extraneous information.
Solution Approach 2:
The system implements partial monitoring by focusing on key operational parameters rather than tracking every aspect of connected object behavior. By monitoring only essential usage patterns (operation presence, duration, frequency), the system achieves sufficient accuracy without excessive data processing burden.
3Ease of operation
If the system recommends configuration changes, then the user experience is improved, but the system intervention level increases
Solution Approach 1:
The system performs preliminary analysis of usage patterns and prepares configuration recommendations in advance, but leaves the final decision and implementation to the user. The computer transmits configuration information and recommendations without automatically applying changes, allowing users to review and accept or reject suggestions.
Data Source
AI summary
A method and a device for transmitting information on the configuration of an environment comprising at least one first connected object and implementing at least one first service accessible through a first communication interface are described. The method is implemented by a computer and includes the determination of an operation of at least one second connected object or of the implementation of at least one second service accessible through at least one second communication interface different from the first communication interface, and the transmission to the first communication interface of information on the configuration of the environment accessible by the first communication interface as a function of the operation of the at least second connected object or of the implementation of the at least second service.