Smart Flow Meter RFID Calibration
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Solution Overview
Problem
Existing flow meters face challenges in accurately measuring fluid flow due to the need for manual entry of multiple K-factors and characterization points, which can lead to errors and limited data entry, resulting in less accurate measurements.
Innovation Solution
A smart flow meter system that utilizes an embedded chip and RFID tags to wirelessly load and synchronize K-factor data, allowing for remote calibration and data entry, reducing human error and expanding data capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual entry of multiple K-factors and characterization points is used, then flow meter calibration can be performed, but errors in data entry occur and data capacity is limited
Solution Approach 1:
The patent replaces the manual mechanical data entry process with an automated electronic system. A microprocessor-based flow computer automatically receives, stores, and processes multiple K-factor values and characterization points through electronic communication interfaces, eliminating manual data entry errors while maintaining measurement precision.
Solution Approach 2:
The patent uses RFID tags to store and transfer calibration data. The RFID tag acts as a portable copy of the flow meter's characterization data, allowing wireless transmission of multiple K-factors and operating parameters to the flow computer, thereby expanding data capacity without manual entry limitations.
2Measurement precision
If manual entry of multiple K-factors is used, then flow meter calibration can be performed, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent pre-stores multiple K-factor values and characterization points in an RFID tag before field deployment. This preliminary preparation allows the flow computer to automatically retrieve and apply the appropriate calibration data without requiring time-consuming manual entry during installation or calibration operations.
Solution Approach 2:
The patent replaces tedious manual data entry with automated wireless communication. The flow computer interfaces with the RFID tag through electronic communication, automatically transferring calibration data in seconds rather than requiring minutes or hours of manual keying in of multiple K-factors and characterization points.
3Measurement precision
If limited data entry capacity is used, then device complexity remains low, but measurement accuracy decreases due to insufficient characterization data
Solution Approach 1:
The patent introduces an RFID tag as an intermediary data storage device. The RFID tag provides expanded memory capacity for storing multiple K-factors, characterization points, and operating parameters, acting as a bridge between the simple flow meter hardware and the complex calibration data requirements, thereby improving measurement accuracy without significantly increasing the flow meter's inherent complexity.
Solution Approach 2:
The patent makes the flow measurement system multi-functional by integrating RFID communication capabilities. The system can perform both traditional flow measurement and automated calibration data management using the same device architecture, allowing extensive data storage and processing without requiring separate complex calibration equipment.
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
Enhances measurement accuracy by enabling remote and automated calibration of flow meters, reducing errors and increasing the range of data that can be entered, thus improving the precision of fluid flow measurements.
Implementation Method 1
A flow measurement system includes a flow meter and an RFID tag. The RFID tag can be used to load K-factor data for the flow meter.
Data Source
AI summary
A system and method are presented for collecting and retrieving characterization data of measurement devices, such as flow meters. The system includes a meter, a radio frequency identification (RFID) tag for storing the meter characterization data, and electronics, such as a totalizer, to read the characterization data from the RFID tag and calibrate the meter measurements using the characterization data.