Multi-Wavelength Spark Detection With Adaptive Sensitivity Control
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Solution Overview
Problem
Existing spark detectors in reservoirs suffer from false alarms and inadequate detection precision due to environmental and media-related factors, leading to unnecessary shutdowns and potential damage from fire-like phenomena.
Innovation Solution
An apparatus with multiple measuring units and a checking mechanism that adjusts sensitivity based on environmental and media-specific data to differentiate between harmless and hazardous fire-like phenomena, reducing false alarms and enhancing detection precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing spark detectors are used in reservoirs, then fire-like phenomena can be detected, but false alarms occur due to environmental and media-related factors
Solution Approach 1:
The detection system is divided into multiple measuring units, each responsible for detecting specific parameters (light intensity, temperature, smoke concentration). This segmentation allows each unit to specialize in detecting particular aspects of fire-like phenomena while being less susceptible to environmental interferences, thereby improving both reliability and precision
Solution Approach 2:
The system incorporates a checking mechanism that continuously monitors detection data and compares it against threshold values. When the assessed hazard level exceeds the threshold, the system triggers an alarm or shutdown. This feedback loop enables dynamic adjustment and validation of detections, reducing false alarms while maintaining high detection precision
2Measurement precision
If detection sensitivity is increased to improve detection precision, then more fire-like phenomena can be detected, but false alarms increase due to environmental factors
Solution Approach 1:
By dividing the detection system into multiple specialized measuring units (light detection, temperature detection, smoke detection), each unit can operate at high sensitivity for its specific parameter without being overwhelmed by environmental noise affecting other parameters. The combined assessment from all units provides a more reliable determination of actual hazards
Solution Approach 2:
The system changes the parameters being measured by using multiple different physical parameters (light intensity, temperature, smoke concentration) instead of relying on a single parameter. This multi-parameter approach allows the system to maintain high detection precision while cross-validating signals to reduce false alarms caused by environmental factors affecting any single parameter
3Measurement precision
If multiple measuring units are added to improve detection accuracy, then detection precision increases, but device complexity increases
Solution Approach 1:
Multiple measuring units detecting different parameters (light, temperature, smoke) are merged into a single integrated detection system with a unified checking mechanism. This merging allows the system to achieve high detection precision through multi-parameter monitoring while managing complexity through integrated design and centralized data processing
Solution Approach 2:
The detection system is designed with multi-functionality, where the checking mechanism serves multiple purposes: validating detections from different measuring units, comparing against threshold values, assessing hazard levels, and triggering appropriate responses. This universal checking mechanism reduces overall system complexity by consolidating multiple functions into a single component
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
The apparatus effectively distinguishes between dangerous and harmless fire-like phenomena, minimizing false alarms and ensuring timely and precise detection, thereby preventing unnecessary shutdowns and damage.
Implementation Method 1
a first and a second measuring unit for detecting electromagnetic radiation emitted by the fire-like phenomenon in a first or second wavelength range
Data Source
AI summary
Metrological detection of a fire-like phenomenon, in particular a spark, flame or embers or hot particles using a first and a second measuring unit for the detection of electromagnetic radiation emitted by the fire-like phenomenon in a first or second wavelength range, respectively, optionally comprising a third measuring unit for detecting ambient light as well as optionally comprising a sensor unit for the measurement of media-specific or environment-specific measurement data. A checking means is adapted to check at a current time point (tA) on the basis of measurement data recorded by the measurement arrangement and/or stored medium- or environment-specific characteristic data, whether an adjustment criterion (A) is satisfied, and if the adjustment criterion (A) is satisfied, adjust a measurement sensitivity (M1, M2, M3) or an operating parameter (P1, P2, P3) of at least one of the measuring units.