Analog Input Plausibility Checking for MUX and ADC Errors
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Solution Overview
Problem
Conventional methods face difficulties in checking the plausibility of analog input data, particularly in identifying errors in multiplexers (MUX) and analog-to-digital converters (A/D converters) when dealing with alternating current (AC) form inputs.
Innovation Solution
A method and apparatus that utilize a multiplexer and an analog-to-digital converter to convert analog input data into digital form, determine errors by analyzing digital data storage positions and comparing against threshold values, thereby identifying errors in the multiplexer and A/D converter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional plausibility checking methods are used, then simple range validation can be performed, but errors in multiplexer and A/D converter cannot be detected for AC form input data
Solution Approach 1:
The patent segments the error detection process into distinct stages: first detecting errors based on storage position (indicating multiplexer errors), then detecting errors based on threshold comparison (indicating A/D converter errors). This segmentation allows the system to identify specific error sources within the data acquisition chain, improving reliability while maintaining adaptability across different input types including AC form data.
Solution Approach 2:
The patent applies preliminary action by performing error detection immediately after data acquisition through the multiplexer and A/D converter, before any further processing. By checking plausibility at the earliest possible stage and identifying errors in their origin, the system prevents error propagation and maintains high reliability for all input types without requiring complex post-processing adaptations.
2Measurement precision
If dual-error detection method is implemented, then error identification accuracy improves, but processing complexity increases
Solution Approach 1:
The patent divides error detection into two independent, sequential checks: first checking storage position for multiplexer errors, then checking threshold compliance for A/D converter errors. Each check is simple and focused on a specific error type, avoiding the need for complex unified detection algorithms while achieving high identification accuracy through systematic segmentation of the detection process.
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
Accurately determines errors in multiplexers and A/D converters, ensuring reliable plausibility checking of analog input data regardless of input type.
Implementation Method 1
generating digital data by converting the input data into a digital form, based on an analog-to-digital (A/D) converter
Data Source
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AI summary
Provided are a method and apparatus for checking plausibility of analog input data. The method may include selecting input data corresponding to a channel selection signal, based on a multiplexer, and generating digital data by converting the input data into a digital form, based on an analog-to-digital (A/D) converter. The method may include determining a presence or absence of a first error in the digital data, based on a storage position of the digital data. The method may include determining a presence or absence of a second error in the digital data, based on a comparison between the digital data and a preset threshold value. The method may include determining an error of at least one of the multiplexer or the A/D converter, based on the presence or absence of the first error and the presence or absence of the second error.