Lighting Product Memory for Replacement Selection
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Solution Overview
Problem
Users face challenges in selecting suitable replacement lighting products that match their specific needs and preferences, as they often lack sufficient guidance and must rely on complex interactions with retail shop assistants or online platforms, which is impractical due to costs and time constraints, especially when dealing with LED-based products that offer numerous options.
Innovation Solution
Incorporating a small embedded persistent memory unit and processor in lighting products to store operating parameters, allowing data access after the product's end-of-life through a removable memory or wireless interfaces like NFC tags, enabling data recovery and use in a recommender system to suggest suitable replacements based on usage data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users rely on complex interactions with retail shop assistants or online platforms to select lighting products, then they may receive personalized guidance, but the process becomes time-consuming and costly
Solution Approach 1:
The patent applies preliminary action by pre-collecting and storing operating data (usage patterns, preferences, environmental conditions) in the lighting product's memory during its service life. This data is prepared in advance to enable automatic generation of replacement recommendations without requiring users to manually provide information during the selection process.
Solution Approach 2:
The system enables self-service by allowing the lighting product itself to automatically transfer its operational data to the recommender system. The product serves its own historical data, eliminating the need for users to manually input information or interact with assistants, thus reducing both time and cost while maintaining personalization.
2Loss of information
If lighting products include embedded memory and processors to store operating data, then data can be recovered after end-of-life for better replacement recommendations, but the device complexity increases
Solution Approach 1:
The patent applies segmentation by separating the data storage and communication functions into a distinct, removable memory component (such as an NFC tag or embedded memory module) that can be extracted from the lighting product. This modular approach allows the main lighting device to remain relatively simple while the memory component handles data retention and transfer independently.
Solution Approach 2:
The system implements discarding and recovering by designing the memory component to be removable and reusable. After the lighting product reaches end-of-life, the memory component containing valuable operating data can be recovered and reused in new products or repurposed, maximizing the value extracted from the original product while keeping the main device structure simple.
3Ease of operation
If NFC tags or removable memory are used for data storage, then data can be easily accessed after end-of-life, but the manufacturing cost increases
Solution Approach 1:
The patent applies this principle by using low-cost, disposable-like NFC tags or memory components that are inexpensive enough to be included in every lighting product. These cheap memory elements can be easily manufactured and integrated, and their low cost is offset by the value of the operational data they preserve, which enables automated recommendation systems and reduces overall system complexity.
Data Source
AI summary
A system, method, and apparatus for gathering operating information from a lighting product. The lighting product includes an embedded persistent memory unit and processor configured to store data operating parameters in the memory unit. The memory unit may be accessed up through and after end-of-life of the lighting product. The memory unit may be physically removable, or may be accessible via a wired or wireless interface such as an NFC tag. The lighting product memory unit is accessed at an in-store kiosk by plugging the lighting product into a socket or swiping the lighting product with an NFC tag reader. Data recovered from the memory unit is used to select and display a range of suitable replacement lighting products from a database.