Multi-Sensor Temperature Detector for Railroad Wheels
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Solution Overview
Problem
Existing temperature detection systems for railroad wheels and bearings are prone to inaccuracies due to external weather conditions, and they may have slow response times and susceptibility to errors caused by microphonics, despite using multiple detectors with limited bandwidth ranges.
Innovation Solution
A method and system that utilize multiple types of temperature sensors with different sensing technologies, such as IR, photovoltaic, piezoelectric, and pyroelectric sensors, to combine signals and generate a more accurate output, employing data fusion processors to analyze consistency and weight signals based on reliability, thereby improving detection accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple detectors with limited bandwidth ranges are used, then the detection coverage is improved, but the response time becomes slow and susceptibility to microphonics increases
Solution Approach 1:
The patent combines multiple detectors with different bandwidth ranges into a single integrated system. Each detector operates independently in its optimal bandwidth range, and their outputs are merged through signal processing circuits to produce a comprehensive temperature detection result. This merging approach maintains fast response times while expanding detection coverage across multiple wavelength ranges.
Solution Approach 2:
The patent creates a universal temperature detection system that can detect across multiple bandwidth ranges using detectors with different characteristics. The system is designed so that each detector serves a specific function within the overall system, and all detectors work together to provide comprehensive temperature monitoring regardless of the specific wavelength range being detected.
2Adaptability or versatility
If multiple detectors with limited bandwidth ranges are used, then the detection coverage is improved, but the susceptibility to errors caused by microphonics increases
Solution Approach 1:
The patent merges multiple detectors with different bandwidth ranges into an integrated system where cross-validation is performed. The signal processing circuits compare outputs from multiple detectors and can identify inconsistencies caused by microphonics, allowing the system to reject erroneous signals while maintaining comprehensive detection coverage.
Solution Approach 2:
The patent implements feedback mechanisms in the signal processing circuits that continuously monitor the outputs of multiple detectors. When inconsistencies or patterns indicative of microphonic interference are detected, the system adjusts its processing to reject erroneous signals, thereby improving reliability while maintaining broad detection capability.
3Device complexity
If a single type of sensor is used, then the system complexity is reduced, but the accuracy and reliability of temperature detection deteriorates under varying weather conditions
Solution Approach 1:
The patent merges multiple types of sensors with different sensing characteristics into a single integrated temperature detection system. Each sensor type contributes its strengths to the overall measurement, and the combined output provides higher accuracy under varying weather conditions while the integration is managed through systematic signal processing.
Solution Approach 2:
The patent employs a composite approach by combining multiple sensor technologies (such as infrared, photovoltaic, piezoelectric, and pyroelectric sensors) that have different physical principles and operational characteristics. This composite sensor system leverages the complementary strengths of each sensor type to achieve superior temperature detection accuracy across diverse environmental conditions.
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 system provides more accurate and reliable temperature detection of railroad wheels and bearings, reducing false alarms and enabling timely maintenance, thus enhancing safety and reducing operational costs by combining data from technologically diverse sensors.
Implementation Method 1
receiving a first signal indicative of a temperature of the component. The first signal may be received from a first type of temperature sensor
Implementation Method 2
receiving a second signal indicative of a temperature of the component. The second signal may be received from a second type of temperature sensor different from said first type of temperature sensor
Data Source
AI summary
The present disclosure is directed to a temperature detector for detecting a temperature of a component. The temperature detector may receive a first signal indicative of the temperature of the component, with the first signal being received from a first type of temperature sensor. The temperature detector may further receive a second signal indicative of the temperature of the component, with the second signal being received from a second type of temperature sensor different from the first type of temperature sensor. The temperature detector may combine the first and second signals to generate an output indicative of the temperature of the component.