Emergency Lighting Fixture Self-Test and Life Prediction
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Solution Overview
Problem
Current emergency lighting systems require laborious and costly manual testing, lack automated self-test capabilities, and do not provide predictive analytics, making it difficult to ensure compliance with regulatory requirements and optimize maintenance.
Innovation Solution
A system with a gateway that controls luminaire operation, a sensor subsystem for measuring light intensity, and a server for predictive analysis, allowing for automated self-testing and life expectancy prediction of emergency lighting fixtures, reducing the need for manual intervention and providing dynamic integration with various lighting systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual testing procedures are used for emergency lighting systems, then testing can be performed with simple equipment, but the process becomes laborious, time-consuming, and costly
Solution Approach 1:
The emergency lighting fixture performs self-testing by automatically initiating discharge cycles and monitoring its own battery performance without requiring external manual intervention. The control circuit autonomously measures voltage, current, and temperature parameters during discharge to assess battery health and predict remaining useful life.
Solution Approach 2:
The patent replaces manual mechanical testing procedures with automated electronic monitoring and control systems. The control circuit uses electronic sensors and processors to automatically perform discharge tests, collect data, and analyze battery performance, eliminating the need for manual operation of testing equipment.
2Productivity
If automated self-test capabilities are implemented in emergency lighting fixtures, then testing efficiency improves, but device complexity increases
Solution Approach 1:
The control circuit in the emergency lighting fixture serves multiple functions: it controls normal lighting operation, initiates emergency discharge cycles, monitors battery parameters (voltage, current, temperature), and predicts battery life. By integrating these diverse functions into a single control unit, the patent avoids adding separate dedicated components for each function, thereby limiting complexity growth.
Solution Approach 2:
The patent combines the testing components and control logic directly into the existing emergency lighting fixture structure. The control circuit merges the battery management functions with the lighting control functions, and integrates sensors for voltage, current, and temperature monitoring within the fixture housing, rather than adding separate external testing equipment.
3Reliability
If predictive analytics are added to emergency lighting systems, then maintenance optimization improves, but system complexity and cost increase
Solution Approach 1:
The control circuit performs preliminary analysis of battery performance by continuously monitoring voltage, current, and temperature during discharge cycles. It calculates capacity metrics and predicts remaining useful life before actual battery failure occurs, enabling proactive maintenance scheduling and preventing unexpected emergencies.
Solution Approach 2:
The system implements feedback by using the control circuit to continuously monitor battery parameters during discharge, compare actual performance against expected performance curves, and adjust maintenance predictions accordingly. The system provides feedback on battery health status and predicted life to facilitate informed maintenance decisions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient, automated self-testing and predictive maintenance of emergency lighting systems, ensuring compliance with regulatory requirements and optimizing maintenance schedules, while reducing labor and costs.
Implementation Method 1
a sensor subsystem configured to measure at least a color intensity of light that is emitted by the luminaire
Data Source
AI summary
A system for managing emergency lighting is generally described. In particular, the present disclosure relates to self-tests and predictive life expectancy operations of emergency lighting systems. Further, the present disclosure relates to an automated system and method for performing self-tests and predicting emergency lighting fixture life expectancy. In the exemplary embodiments, emergency lighting system tests may be automatically scheduled, carried out, and evaluated.