Piezoelectric Sensor Alignment Anomaly Detection

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Solution Overview

Problem

Autonomous vehicles face inefficiencies due to the laborious and frequent need for sensor alignment reverifications, as sensors can shift out of alignment over time due to vibrations and stresses, leading to unreliable data for driving decisions.

Innovation Solution

The implementation of piezoelectric sensors between the enclosure and the fixture of an autonomous vehicle to detect pressure changes, allowing for the identification of potential alignment anomalies before they manifest, using trending and machine learning techniques to predict premature alignment issues.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual alignment reverification is performed frequently to ensure sensor alignment accuracy, then alignment reliability is improved, but operational efficiency deteriorates due to laborious and frequent checks

Engineering Contradiction:

Improvealignment reliabilityVSAvoidoperational efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The piezoelectric sensor performs preliminary detection of alignment anomalies by monitoring pressure changes between the enclosure and fixture, enabling early identification of potential alignment issues before they manifest as actual misalignment, thereby reducing the need for frequent manual reverification

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements self-monitoring through piezoelectric sensors that continuously detect pressure variations indicating alignment changes, allowing the sensor system to self-verify its alignment status without requiring external manual intervention for frequent checks

Inventive Principle:

Principle #25Self-service

2Productivity

If manual alignment checks are performed less frequently to improve operational efficiency, then productivity is improved, but alignment reliability deteriorates as sensors may shift out of alignment

Engineering Contradiction:

Improveoperational efficiencyVSAvoidalignment reliability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The piezoelectric sensor provides continuous feedback on alignment status by detecting pressure changes between the enclosure and fixture, enabling real-time monitoring that maintains alignment reliability while allowing less frequent manual intervention, thus improving operational efficiency

Inventive Principle:

Principle #23Feedback

3Reliability

If piezoelectric sensors are installed to detect pressure changes for early alignment anomaly detection, then alignment reliability is improved through early detection, but device complexity increases

Engineering Contradiction:

Improvealignment reliabilityVSAvoiddevice complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The piezoelectric sensor acts as an intermediary element installed between the enclosure and fixture, translating mechanical pressure changes into electrical signals that indicate alignment anomalies, thereby providing reliable early detection without requiring complex alignment systems

Inventive Principle:

Principle #24Intermediary (Mediator)

4Measurement precision

If trending and machine learning techniques are used to predict alignment anomalies, then measurement precision is improved for detecting potential issues, but device complexity increases

Engineering Contradiction:

Improveanomaly detection precisionVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

Trending and machine learning techniques perform preliminary analysis on pressure data to identify patterns indicating potential alignment anomalies before they occur, enabling early warning with high precision while using computationally efficient algorithms that do not require complex hardware

Inventive Principle:

Principle #10Preliminary action

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

This solution reduces the frequency of manual alignment checks by enabling early detection of alignment shifts, ensuring continuous reliable sensor data and reducing the risk of data calibration errors, thereby enhancing the operational efficiency and safety of autonomous vehicles.

Implementation Method 1

Pressure data of a set period can be obtained from one or more piezoelectric sensors. The one or more piezoelectric sensors are installed in between an enclosure and a fixture of an autonomous vehicle.

Methodology Applied

Scientific EffectPiezoelectric effect: Piezoelectric Effect

Data Source

PatentUS11499812B2Systems and methods for using piezoelectric sensors to detect alignment anomaly

Publication Date: 2022.11.15 PONY AI INC

AI summary

Systems and methods are provided for detecting an enclosure alignment anomaly. Pressure data of a set period can be obtained from one or more piezoelectric sensors. The one or more piezoelectric sensors are installed in between an enclosure and a fixture of an autonomous vehicle. The pressure data of the set period can be processed over a period of time. One or more trends can be identified based on the processed pressure data.