Field Variable Transmission Thresholds for Low-Energy Data Reporting
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Solution Overview
Problem
In industrial plants, field devices face challenges in minimizing energy consumption for data transmission while maintaining accurate representation of process variables, as high transmission rates consume excessive energy and low rates result in information loss, especially for variables that are constant for extended periods and then change rapidly.
Innovation Solution
A method that adjusts transmission rates by comparing current process variable values with previous values, transmitting only when the difference exceeds predetermined magnitudes or slope changes, and using historical data and AI algorithms to optimize these thresholds, ensuring minimal energy consumption without losing information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data transmission rate is increased to maintain accurate representation of process variables, then information completeness is improved, but energy consumption increases
Solution Approach 1:
The patent applies dynamics by making the transmission rate variable rather than constant. The system dynamically adjusts the transmission rate based on the actual behavior of process variables, increasing transmission frequency when variables change rapidly and decreasing it when variables remain stable, thereby optimizing the balance between information completeness and energy consumption
Solution Approach 2:
The patent changes the parameter of transmission rate from a fixed value to a variable that adapts to process conditions. By monitoring the rate of change of process variables and adjusting the transmission rate parameter accordingly, the system achieves efficient energy utilization while maintaining accurate process representation
2Use of energy by moving object
If data transmission rate is decreased to minimize energy consumption, then energy efficiency is improved, but information loss increases
Solution Approach 1:
The system dynamically adapts the transmission rate to match the actual variability of process variables. When process variables are stable, transmission rate is reduced to save energy; when variables change rapidly, transmission rate increases to capture important information, thus dynamically optimizing the trade-off between energy efficiency and information loss
Solution Approach 2:
The system performs preliminary analysis of process variable trends and predicts future behavior patterns. By anticipating when significant changes are likely to occur, the system can proactively adjust transmission rates to ensure important information is captured while minimizing unnecessary transmissions during stable periods
3Measurement precision
If constant high transmission rate is used to capture rapid changes, then information accuracy is improved, but energy waste increases during stable periods
Solution Approach 1:
The transmission rate is made dynamic and responsive to actual process conditions. The system continuously monitors process variable behavior and adjusts transmission rate in real-time, maintaining high transmission rates only when process variables exhibit rapid changes that require accurate capture, while reducing rates during stable periods to eliminate energy waste
Solution Approach 2:
The patent extracts only the essential information that requires high transmission rates - specifically during periods of rapid process variable change. By identifying and isolating these critical moments, the system maintains measurement precision when needed while removing unnecessary high-rate transmissions during stable periods, thus reducing energy waste
Data Source
AI summary
Disclosed is a method for reducing volume of data transmitted from a field device. The method includes checking a value of a process variable at a first point in time and comparing the value with a value checked at a second point in time preceding the first point in time. The value at the first point in time is transmitted only when it differs from the value at the second point in time by a predetermined first magnitude. Additionally, the value at the first point in time is transmitted only when the difference between the value at the first point in time and the value at the second point in time differ by a predetermined factor from a difference between the value at the second point in time and a value at a third point in time preceding the second point in time.