Sensor Event Assessor Self-Calibration for Detection Accuracy
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Solution Overview
Problem
Current sensor systems require significant time and resources for training and calibration, and improper use can significantly reduce detection capabilities, leading to inefficiencies in event detection.
Innovation Solution
A sensor event assessor system that assesses events detected by multiple sensors, providing integrated inference and assessment information, including geo-location and event size, and self-calibrates to minimize setup time, allowing for accurate detection in various environments with minimal testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensor training and calibration methods are used, then detection accuracy can be maintained, but significant time and resource investment is required
Solution Approach 1:
The sensor event assessor automatically performs calibration and optimization functions without requiring manual intervention. The system self-adjusts by processing sensor data and generating optimized assessment rules, eliminating the need for external training personnel and reducing calibration time while maintaining detection accuracy
Solution Approach 2:
The system pre-processes sensor data and pre-generates assessment rules during normal operation, so that when detection events occur, the assessment is already optimized and ready. This preliminary processing eliminates the need for time-consuming calibration procedures before deployment
2Reliability
If manual calibration and training are performed, then sensor performance can be optimized, but cost and resource investment increase significantly
Solution Approach 1:
The sensor event assessor autonomously optimizes sensor performance by automatically analyzing sensor data patterns and adjusting assessment parameters. This self-optimizing capability eliminates the need for expensive external training personnel and reduces resource investment while maintaining high detection reliability
Solution Approach 2:
The system continuously monitors detection outcomes and uses this feedback to automatically refine assessment rules and calibration parameters. This closed-loop feedback mechanism ensures sensor performance remains optimized without requiring external intervention or additional resource investment
3Measurement precision
If multiple sensors are integrated for comprehensive event detection, then detection capability improves, but system complexity increases
Solution Approach 1:
The sensor event assessor consolidates data from multiple sensors and integrates their outputs into a unified assessment framework. By merging sensor inputs and processing them through a single intelligent assessor, the system achieves comprehensive event detection while managing complexity through centralized intelligence rather than distributed complexity
4Measurement precision
If extensive testing and calibration are performed before deployment, then detection accuracy improves, but deployment time and productivity are reduced
Solution Approach 1:
The system performs calibration and optimization automatically upon deployment without requiring pre-deployment testing or manual configuration. This self-calibrating capability allows the sensor event assessor to be deployed immediately while maintaining detection accuracy, significantly improving deployment productivity
Solution Approach 2:
The system pre-configures assessment rules and calibration parameters during manufacturing, so that upon deployment, the sensors are already optimized and ready for immediate use. This preliminary configuration eliminates the need for on-site testing and calibration, accelerating deployment while maintaining accuracy
Data Source
AI summary
A sensor event assessor trainer and integrator is disclosed. In one embodiment, a sensor event assessor assesses any event detected by at least two sensors and provides assessment information about the event. A different event detection system provides an input regarding an event. A collaborator combines the assessment information with the different event detection system input to generate a user recognizable output for presenting the integrated event information.