Position Sensor Track Signal Monitoring With Adaptive Sampling
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Solution Overview
Problem
Existing position change sensors suffer from resource-intensive error diagnosis methods that are inadequate for detecting track signal errors accurately, particularly in applications requiring high accuracy, leading to potential damage and safety hazards.
Innovation Solution
A method and device for monitoring track signals using a combination of digital and analog signal parameters, employing a first evaluation unit for digital parameters and a further evaluation unit for analog parameters, with a logic operations unit to integrate the results, optimizing error diagnosis by reducing the number of measuring times needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cyclic sampling with adaptive temporal spacing is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic sampling by varying the temporal spacing between sampling points based on the specific evaluation requirements. Different time periods within the cyclic sampling sequence have different spacing intervals, allowing the system to adapt the sampling density to the actual measurement needs rather than using uniform sampling throughout.
Solution Approach 2:
The patent pre-calculates and stores optimal sampling sequences with varying temporal spacing before actual measurement. This preliminary preparation allows the system to execute complex adaptive sampling patterns without real-time computational overhead, reducing the actual device complexity during operation.
2Reliability
If both digital and analog signal parameters are evaluated, then reliability is improved, but use of energy increases
Solution Approach 1:
The patent divides the signal evaluation process into two separate evaluation units: one for digital signal parameters and another for analog signal parameters. This segmentation allows each unit to process only its designated signal type, reducing the overall computational burden and energy consumption compared to a unified evaluation system that would need to handle all parameters simultaneously.
Solution Approach 2:
The patent creates a multi-functional evaluation system where two specialized evaluation units work in parallel. Each unit is optimized for its specific function (digital or analog evaluation), but together they provide comprehensive error diagnosis coverage, achieving universal error detection capability through specialized components.
3Productivity
If the number of sampling times is reduced, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The patent applies non-uniform sampling density across different time periods within the cyclic sequence. Certain critical phases of the signal cycle are sampled more densely while other phases use coarser sampling. This local quality variation maintains measurement precision in critical areas while reducing overall sampling count to improve productivity.
Solution Approach 2:
The patent uses periodic cyclic sampling sequences with predetermined varying temporal spacing. This periodic structure allows the system to achieve comprehensive signal evaluation over complete cycles while maintaining a reduced total number of sampling points compared to continuous uniform sampling, thereby balancing precision and productivity.
Data Source
AI summary
In a method and device for monitoring the track signals of a position change sensor, a resource-optimized diagnosis of errors of track signals of a position change sensor is performed.