Field Device Measurement Precision Reporting
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Solution Overview
Problem
Current field devices in industrial process control systems lack the ability to remotely verify the accuracy and functionality of sensors, particularly in terms of measurement uncertainty, which can be affected by external factors, and do not provide real-time operating accuracy, making it difficult to determine if they are operating within specified performance limits.
Innovation Solution
A field device equipped with a processor that calculates a measurement precision value, including total probable error and stability error, and communicates this information to ensure the accuracy of process parameter measurements, allowing for real-time assessment of operating accuracy and alerting operators if performance limits are exceeded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional field devices are used without measurement precision calculation, then device complexity is reduced, but measurement precision and reliability of process control are compromised
Solution Approach 1:
The field device performs preliminary calculations of measurement precision values by computing total probable error and stability error components before final measurement readings are taken. This allows the device to proactively assess measurement quality and alert operators before accuracy degradation occurs, rather than reacting to problems after they manifest.
Solution Approach 2:
The system implements feedback by continuously calculating measurement precision values and comparing them against acceptable thresholds. When precision degrades below thresholds, the system provides feedback signals to operators or control systems, enabling dynamic adjustment of process parameters or triggering maintenance protocols to maintain measurement quality.
2Loss of time
If remote verification of sensor accuracy is implemented, then loss of time for physical inspections is reduced, but device complexity increases due to additional calculation and communication requirements
Solution Approach 1:
The field device performs self-diagnosis by automatically calculating its own measurement precision values using internal sensors and processors. The device monitors its performance metrics independently without requiring external verification equipment or physical inspection, enabling autonomous health assessment and reducing dependency on manual verification processes.
Solution Approach 2:
The system uses communication interfaces as intermediaries to transmit measurement precision data from field devices to central control systems. This intermediary layer enables remote verification by conveying diagnostic information through existing communication protocols without requiring direct physical access to sensors, bridging the gap between distributed field devices and centralized monitoring.
3Reliability
If measurement precision values are calculated and communicated in real-time, then reliability of process control is improved, but use of energy increases due to continuous calculation and communication activities
Solution Approach 1:
The field device performs measurement precision calculations periodically rather than continuously, computing total probable error and stability error at scheduled intervals. This periodic operation maintains measurement quality monitoring while reducing energy consumption compared to continuous real-time calculation, balancing reliability requirements with energy efficiency.
Solution Approach 2:
The system dynamically adjusts the frequency of measurement precision calculations based on process conditions and operational context. During critical process phases or when precision thresholds are approached, calculation frequency increases to maintain reliability. During stable operating conditions, frequency decreases to conserve energy, creating a dynamic balance between reliability and energy usage.
Data Source
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AI summary
A field device [10] includes a sensor [12] for sensing a process parameter, a processor [16] for producing a measurement value as a function of the sensed process parameter, and a communication interface [26] for transmitting an output based upon the measurement value. The processor [16] also calculates a measurement precision value associated with the measurement value.