Ultrasonic Sensor Noise Cancellation for Blowout Prevention
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Solution Overview
Problem
Existing detection systems face challenges in accurately processing signals over time due to varying noise levels, leading to a degradation in signal-to-interference and noise ratio (SINR), which affects the reliability of object detection in systems like blowout prevention systems.
Innovation Solution
A detection system that includes a sensor sending ultrasonic pulses and a controller identifying and canceling noise using first and second cancellation signals, which correspond to noise variations at different times, allowing for improved SINR and accurate object characterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a pre-recorded signal is used to cancel noise in detection systems, then the device complexity is reduced, but the measurement precision deteriorates because the pre-recorded signal does not correspond to varying noise at different times
Solution Approach 1:
The system dynamically adapts the cancellation signal to match the actual noise characteristics at each moment. Instead of using a static pre-recorded signal, the system continuously adjusts the cancellation signal based on real-time noise variations, making the noise cancellation process adaptive and time-dependent to maintain high precision
Solution Approach 2:
The system uses feedback from the actual noise signal to generate an appropriate cancellation signal. By monitoring the noise characteristics and using this information to create the cancellation signal, the system ensures that the cancellation is accurately tailored to the current noise conditions, improving measurement precision
2Ease of operation
If traditional noise cancellation methods are used, then the ease of operation is maintained, but the reliability deteriorates due to degradation in signal-to-interference and noise ratio over time
Solution Approach 1:
The system maintains ease of operation by automating the dynamic adaptation process. The controller automatically adjusts the cancellation signal based on real-time noise characteristics without requiring manual intervention, preserving operational simplicity while significantly improving detection reliability through time-adaptive noise cancellation
3Device complexity
If a single cancellation signal is used for noise cancellation, then the device complexity is reduced, but the measurement precision deteriorates because noise varies over time
Solution Approach 1:
The system prepares multiple potential cancellation signals in advance, each corresponding to different noise conditions. When noise is detected, the system selects and applies the appropriate pre-prepared cancellation signal, enabling rapid adaptation to varying noise conditions without complex real-time processing
Solution Approach 2:
The system dynamically selects and applies different cancellation signals based on the current noise characteristics. This time-dependent adaptation ensures that the cancellation signal always matches the actual noise conditions, maintaining high measurement precision for object characteristic detection
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 reliable and accurate detection of object characteristics by effectively canceling noise as it varies over time, enhancing the reliability and accuracy of detection systems compared to traditional methods.
Implementation Method 1
a sensor coupled to the blowout prevention system and configured to send an ultrasonic pulse toward the object. The sensor is further configured to receive a signal including the ultrasonic pulse
Implementation Method 2
Examples of noise include sound generated by the self-resonance, i.e., ringing, of the sensor
Data Source
AI summary
A detection system to detect an object in a blowout prevention system of a production system includes a sensor coupled to the blowout prevention system and configured to send an ultrasonic pulse toward the object. The sensor is further configured to receive a signal including the ultrasonic pulse and noise after the ultrasonic pulse interacts with the object. The detection system also includes a controller coupled to the sensor and configured to identify the ultrasonic pulse in the signal using a first cancellation signal at a first time and a second cancellation signal at a second time. The controller is further configured to determine that the first cancellation signal corresponds to the noise in the signal at the first time, and determine that the second cancellation signal corresponds to the noise in the signal at the second time. The controller is configured to determine a characteristic of the object based on the ultrasonic pulse.