AI Room Operating Unit Configuration from Usage Patterns
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The process of configuring room operating units for electrical devices in buildings is time-consuming and prone to errors, and users often find it cumbersome to customize the configuration to reflect their individual preferences or optimized usage patterns.
Innovation Solution
A method utilizing an AI processing component, such as a machine learning model, to adapt configuration data for room operating units based on usage data and instruction data, allowing the AI to reorganize, add, or delete configuration elements to better reflect user preferences and optimize device control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration process is used for room operating units, then configuration can be provided with detailed control, but the process is time-consuming and prone to errors
Solution Approach 1:
The system automatically generates configuration data by analyzing usage data from sensors and user interactions with room operating units. The configuration data is self-updated based on detected usage patterns, eliminating the need for manual configuration while maintaining high accuracy through continuous learning from actual usage.
2Ease of operation
If users customize configuration to reflect individual preferences, then user experience is improved, but the customization process is cumbersome
Solution Approach 1:
The system automatically adapts configuration data to reflect user preferences by analyzing usage data from sensors and user interactions. The configuration self-customizes based on detected patterns, providing personalized user experience without requiring users to manually customize settings.
Solution Approach 2:
The system continuously collects usage data from sensors and user interactions, processes this feedback through the processor, and automatically adjusts configuration data based on detected usage patterns. This closed-loop feedback mechanism enables the system to learn and adapt to individual user preferences over time.
3Productivity
If AI processing component is used to adapt configuration data, then configuration time is reduced and accuracy is improved, but system complexity increases
Solution Approach 1:
A communication interface serves as an intermediary layer between the AI processing component and the room operating units. This interface handles data exchange and coordination, allowing the sophisticated AI processing to occur without directly increasing the complexity of individual room operating units or requiring users to interact with complex AI systems.
Data Source
Figure 1~3
Figure 4~5
Figure 6~7
AI summary
The disclosure relates to a method (200) for adapting configuration data (3) for configuring a room operating unit (16) for operating electrical devices (14) inside a room (12) of a building (10), the method (200) comprising: - obtaining current configuration data (3) for configuring the room operating unit (16); - obtaining usage data (4) indicative of a usage of the room operating unit (16) based on the current configuration data (3); - obtaining instruction data (2) comprising one or more instructions for processing the usage data (4) and the current configuration data (3) by an Artificial Intelligence, Al, processing component (42) for obtaining the adapted configuration data (3'); - providing the current configuration data (3), the usage data (4) and the instruction data (2) for processing by the AI processing component (42); and - obtaining the adapted configuration data (3') from the processing by the AI processing component (42).