Lighting Component Usage Analysis for Cost-Effective Tender Profiles

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Solution Overview

Problem

Existing methods for creating tender texts for lighting systems are labor-intensive and often inefficient due to a lack of detailed knowledge about the target application, leading to suboptimal cost-effective solutions.

Innovation Solution

An automated method using machine learning and sensor data analysis to generate a tender profile based on usage patterns of lighting system components, including operational schedules, power consumption, and user preferences, to identify cost-effective products and optimize system efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If manual methods are used to create tender texts, then basic information can be included, but the process is labor-intensive and costly

Engineering Contradiction:

Improveease of creating tender textVSAvoidtime required for manual tender text creation

Core Design Contradiction:

Ease of manufactureVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical work of creating tender texts with an automated computer-based system that collects usage data, analyzes patterns, and generates tender texts automatically, eliminating the need for manual labor in this process

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service by automatically generating tender texts using collected usage data and patterns without requiring manual intervention, allowing the process to serve itself through automation

Inventive Principle:

Principle #25Self-service

2Device complexity

If basic information is used for tender texts, then the process is simpler, but the solutions are not cost-effective

Engineering Contradiction:

Improvecomplexity of tender text creation processVSAvoidcost-effectiveness of lighting system solutions

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The system implements feedback by collecting actual usage data from lighting systems, analyzing the patterns, and using this information to generate more accurate and cost-effective tender texts for future installations

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary action by collecting and analyzing usage data from existing lighting systems before creating tender texts for new installations, allowing optimization based on real-world performance data

Inventive Principle:

Principle #10Preliminary action

3Reliability

If detailed usage analysis is performed, then cost-effective solutions can be identified, but the analysis process becomes more complex

Engineering Contradiction:

Improvecost-effectiveness of lighting system solutionsVSAvoidcomplexity of usage analysis process

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces complex manual analysis processes with automated computer-based algorithms that collect, process, and analyze usage data, reducing the perceived complexity while maintaining detailed analysis capabilities

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary automated analysis layer between raw usage data and tender text generation, using algorithms to process complex data patterns and translate them into actionable insights for cost-effective solutions

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentEP4682791A1Analyzing usage of capacities of lighting system components in a lighting system

Publication Date: 2026.01.21 TRIDONIC GMBH & CO KG

Figure 1~2

AI summary

The invention refers to a method for analyzing the usage of the capacities of at least one lighting system component installed in a lighting system, the method comprising the steps of: - Analyzing the usage workload of the at least one component expressed on at least one physical parameter in order to produce usage patterns data of said existing lighting system, said data including at least one of but not limited to, operational schedules, power consumption profiles, environmental conditions, and user preferences, and - Producing a file containing the thus generated usage pattern data.