Sensor Assignment Apparatus for Diagnostic Model Optimization
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Solution Overview
Problem
Conventional methods for assigning sensors to diagnostic models in large-scale facilities face challenges when dealing with numerous sensors across multiple instrumentation diagrams, requiring an exhaustive search for appropriate combinations which is time-consuming and inefficient.
Innovation Solution
A sensor assignment apparatus that includes a measured value storage, a combination generator, an evaluation value calculator, and a selector, which assigns sensors to diagnostic model arguments, calculates evaluation values based on diagnostic functions, and selects suitable combinations for automatic diagnosis, utilizing sensor and attribute information to reduce the combinatorial explosion and enhance efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If exhaustive search method is used to assign sensors to diagnostic model, then complete combination coverage is achieved, but processing time increases significantly
Solution Approach 1:
The patent changes the evaluation parameter from binary (valid/invalid) to continuous (evaluation values), enabling ranking and selection of optimal combinations without exhaustive verification of all possibilities. This allows the system to identify suitable sensor assignments by comparing evaluation scores rather than checking every combination's validity.
Solution Approach 2:
The system performs self-evaluation by automatically calculating evaluation values for sensor combinations based on diagnostic functions and measured data, eliminating the need for manual expert assessment. The apparatus autonomously determines optimal assignments through mathematical evaluation rather than requiring exhaustive human verification.
2Measurement precision
If all sensor combinations are evaluated, then assignment accuracy is maximized, but storage capacity requirements increase
Solution Approach 1:
The patent applies partial action by evaluating sensor combinations based on diagnostic relevance rather than exhaustively assessing all possible combinations. The system calculates evaluation values only for combinations that are likely to be meaningful based on the diagnostic functions and measured data, storing only these evaluated combinations rather than all possible sensor assignments.
3Measurement precision
If manual sensor assignment method is used, then expert knowledge is utilized, but adaptability to equipment changes decreases
Solution Approach 1:
The system incorporates feedback mechanisms by automatically recalculating evaluation values when new measured data becomes available or when equipment configurations change. The diagnostic functions continuously evaluate sensor combinations based on actual measured values, allowing the system to adapt to equipment changes without manual reconfiguration while maintaining assignment accuracy through data-driven evaluation.
Data Source
AI summary
In one embodiment, a sensor assignment apparatus includes a measured value storage, a generator, a calculator, and a selector. The measured value storage stores measured values of a plurality of sensors. The generator generates combinations of sensors and arguments of a function to diagnose sensors by assigning sensors to its arguments. The calculator calculates evaluation values which are based on the function values. The function values are obtained by applying diagnostic functions to measured values for all combinations generated by the generator. The selector selects at least one combination from the resulting set of the generator by considering the evaluation values of combinations calculated by the calculator.