Product Life Span Assessment for LED Lighting Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users lack the tools to accurately determine the life span of products, especially lighting systems, under unique operating conditions, leading to unawareness of impending end-of-life conditions based on performance or economic factors, resulting in inefficient resource allocation and missed opportunities for cost reduction.
Innovation Solution
A method and apparatus that allow users to define and assess product life span and end-of-life conditions based on user-specific metrics, data analysis, and changing operating conditions, enabling proactive management of product life extension and cost optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manufacturers estimate life span using sampling data under standard conditions, then a general life span estimate can be provided, but the estimate does not account for varying operating conditions or user-specific end-of-life criteria
Solution Approach 1:
The system performs preliminary actions by having users define their specific end-of-life criteria and operating conditions upfront. The apparatus pre-calculates projected life span based on these user-defined parameters before the product actually reaches end-of-life, allowing users to plan ahead for replacement or maintenance without waiting for actual failure symptoms.
Solution Approach 2:
The system dynamically adapts life span estimation by continuously monitoring actual operating conditions and comparing them against user-defined criteria. Rather than using a static manufacturer estimate, the apparatus adjusts the projected life span in real-time based on actual usage patterns, environmental conditions, and performance degradation rates specific to each user's operation.
2Ease of operation
If users operate products without tools to assess life span, then operational simplicity is maintained, but users cannot accurately predict end-of-life conditions or optimize replacement timing
Solution Approach 1:
The system enables self-service by automatically collecting operating data, monitoring performance metrics, and calculating projected life span without requiring user intervention. Users simply define their end-of-life criteria once, and the apparatus handles all subsequent monitoring, data analysis, and predictions autonomously, maintaining operational simplicity while eliminating information loss.
Solution Approach 2:
The apparatus implements feedback mechanisms that continuously monitor product performance and provide users with actionable information about remaining life span and approaching end-of-life conditions. This feedback loop enables users to make informed decisions about replacement timing, maintenance scheduling, and resource allocation without complicating the actual product operation.
3Productivity
If products are replaced based on manufacturer life span estimates, then replacement planning is simplified, but opportunities for cost reduction through extended operation or timely replacement are missed
Solution Approach 1:
The system performs preliminary calculations of projected life span based on user-defined end-of-life criteria before the product actually degrades. This allows users to anticipate replacement needs, secure funding in advance, and plan resource allocation optimally rather than reacting to sudden failures or relying on inaccurate manufacturer estimates.
Solution Approach 2:
The apparatus allows users to change parameters related to end-of-life definition (e.g., economic thresholds, performance criteria, operating conditions) to optimize replacement timing for their specific needs. By adjusting these parameters, users can extend operation when beneficial or replace earlier when more economical, maximizing resource allocation efficiency and eliminating the loss of time associated with recognizing replacement opportunities.
Data Source
AI summary
Disclosed herein are apparatus, methods, and systems for assessing the life span of a product and/or system—particularly with respect to end-of-life conditions which are defined by a customer, owner, operator, or other person(s) associated with the product and/or system—and communicating the assessment to said customer, owner, operator, or other person(s). According to one aspect, end-of-life conditions are defined in terms of product life (e.g., anything that relates to how well and how long the product/system operates) and/or economic life (e.g., anything that relates to the cost of deriving a benefit from the product/system). In one particular example, the products or systems relate to lighting systems, particularly those utilizing LED (or other solid-state) light sources.