Measurement data validation system
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Solution Overview
Problem
In process automation, existing systems face challenges in ensuring the quality and reliability of measurement data from field devices, particularly when the measurement environment or container geometry changes, requiring re-parameterization to maintain valid measurement values.
Innovation Solution
A measurement data validation system comprising a field device, position detection device, and server that acquires and validates measurement data based on the detected position and parameters of the measurement station, ensuring accurate data collection and transmission, and instructing the field device to acquire data only when the station is correctly positioned and parameterized.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the field device is re-parameterized for different container types, then measurement validity is maintained, but device complexity and re-parameterization effort increase
Solution Approach 1:
The field device automatically performs self-validation by comparing its current measurement conditions (container type, position, parameters) against stored reference data. The device autonomously determines whether measurement data is valid without requiring manual intervention or complex external validation systems, thus maintaining reliability while reducing operational complexity
Solution Approach 2:
The field device stores reference measurement data and validation criteria in advance for different container types and measurement stations. Before performing measurements, the device pre-loads the appropriate reference data corresponding to the detected container type, enabling rapid validation without time-consuming re-parameterization processes
2Measurement precision
If measurement data is validated based on position and parameters, then measurement quality improves, but system complexity and validation time increase
Solution Approach 1:
The validation process is divided into separate functional modules: position detection module, parameter detection module, reference data comparison module, and validation result generation module. Each module handles a specific aspect of validation independently, making the overall system more manageable and maintainable while achieving comprehensive measurement quality assurance
Solution Approach 2:
The system implements a feedback mechanism where validation results are immediately communicated back to the field device operator or control system. If measurement data fails validation, the system provides specific feedback about the invalidation reason (position deviation, parameter mismatch, etc.), enabling rapid correction and re-measurement, thus improving overall measurement quality efficiency
3Productivity
If the field device acquires measurement data continuously, then productivity increases, but risk of acquiring invalid data also increases
Solution Approach 1:
The field device performs periodic validation checks at defined intervals during continuous measurement operations. Rather than validating every single measurement point continuously (which would slow down acquisition), the device validates at periodic checkpoints, maintaining high productivity while ensuring data validity through regular verification
Solution Approach 2:
The system performs preliminary validation checks based on position and parameter data before the field device commits to acquiring and storing measurement data. This pre-validation filter prevents invalid data from entering the measurement database in the first place, ensuring high reliability without requiring post-processing validation that would reduce productivity
Data Source
AI summary
A measurement data validation system for validating measurement data of a field device is provided. The measurement data validation system includes a field device, a position detection device and/or a measurement station detection device, and a server. The field device acquires measurement data of a measurement station and transmits the acquired measurement data to the server. The position detection device detects a position of the measurement station and transmits the detected position to the server. The measurement station detection device can detect a measurement station parameter and transmit the parameter to the server. The server receives the sensed measurement data, the position of the measurement station or the measurement station parameter and verifies and/or validates the measurement data and/or instructs the field device to sense measurement data of the measurement station.