Adaptive Meter Frame Compression for High-Resolution Water Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing water meters face challenges in balancing high-resolution data collection for efficient water management with the need to minimize power consumption and network congestion, as shorter data collection intervals increase frame size and energy consumption.
Innovation Solution
A method that divides measurement periods into time intervals, identifies periods of constant consumption, and replaces measurement data with compacted data, adjusting the duration of intervals to maintain a predefined frame size while maximizing information transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the data collection interval is shortened to improve measurement resolution, then the measurement precision is improved, but the data frame size increases and energy consumption increases
Solution Approach 1:
The patent extracts and identifies periods of constant consumption from the measurement data, separating them from variable consumption periods. By extracting only the essential information (start time, duration, constant value) rather than transmitting all raw measurement points, the data frame size is reduced while maintaining measurement resolution during variable periods.
Solution Approach 2:
Instead of transmitting all measurement data points and letting the receiving system identify constant periods, the patent inverts the approach by having the meter itself identify and compress constant consumption periods before transmission. This preprocessing at the source reduces the data burden on the communication system.
2Measurement precision
If the data collection interval is shortened to improve measurement resolution, then the measurement precision is improved, but the data frame size increases
Solution Approach 1:
The patent extracts and identifies periods of constant consumption from the measurement data, separating them from variable consumption periods. By extracting only the essential information (start time, duration, constant value) rather than transmitting all raw measurement points, the data frame size is reduced while maintaining measurement resolution during variable periods.
Solution Approach 2:
The patent changes the representation parameters of constant consumption periods by encoding them with only three parameters (start time, duration, constant value) instead of multiple measurement data points. This parameter transformation dramatically reduces the data volume for constant periods while preserving the ability to reconstruct the original measurement sequence.
3Measurement precision
If the data frame size is increased to improve measurement resolution, then the measurement precision is improved, but the network congestion increases and frame loss risk increases
Solution Approach 1:
The patent extracts and identifies periods of constant consumption from the measurement data, separating them from variable consumption periods. By extracting only the essential information (start time, duration, constant value) rather than transmitting all raw measurement points, the data frame size is reduced while maintaining measurement resolution during variable periods.
Solution Approach 2:
The patent applies partial compression by identifying and compressing only the constant consumption periods while leaving variable periods uncompressed. This selective approach ensures that critical variable consumption data maintains full resolution while constant periods contribute minimally to the data volume, achieving a balance between resolution and reliability.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
Method for transmitting measurements, implemented in a meter (1) and comprising the steps of: - detecting at least one period of constant consumption formed by successive time intervals during each of which the consumption is equal to a constant value; - producing and transmitting a collection frame containing the measurement data associated with the time intervals of the measurement period, by replacing, for each period of constant consumption, the measurement data associated with the successive time intervals of said period of constant consumption by compacted data comprising a first data item making it possible to identify the time intervals of the period of constant consumption and a second data item containing the constant value.