Measurement Frame Timing for Complete Time-Series Reconstruction
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Solution Overview
Problem
Existing measurement systems face limitations in setting measurement and transmission periods due to the requirement that sampling periods must be divisors of polling periods, leading to incomplete data transmission and reduced flexibility.
Innovation Solution
A measurement system where the measurement device transmits measurement values and additional information using frames in periods longer than the measurement periods, allowing the control device to generate time series data and manage the number of values per frame, thereby increasing flexibility and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the measurement period is set as a divisor of the transmission period, then the number of measurement values transmitted is constant, but the flexibility in setting measurement and transmission periods is reduced
Solution Approach 1:
The patent applies dynamics by making the frame structure adaptable rather than fixed. The measurement device can dynamically adjust the number of measurement values included in each transmitted frame, and the control device can handle variable frame sizes. This dynamic approach allows the measurement period and transmission period to be set independently without requiring one to be a divisor of the other, thereby increasing flexibility while ensuring complete data transmission.
Solution Approach 2:
The patent changes the parameter of frame size from constant to variable. By allowing the number of measurement values per frame to vary, the system can accommodate different measurement and transmission period configurations. The control device receives and processes frames with different numbers of measurement values, enabling independent setting of measurement and transmission periods while maintaining data completeness.
2Productivity
If the polling period is longer than the sampling period, then data transmission frequency is reduced, but not all acquired data is transmitted to the control device
Solution Approach 1:
The patent applies preliminary action by having the measurement device buffer and prepare measurement values for transmission before the transmission period arrives. The measurement device continuously acquires measurement data during the measurement period and stores these values ready for transmission. When the transmission period arrives, all accumulated measurement values are transmitted in the frame, ensuring no data is lost even though the transmission period is longer than the measurement period.
3Reliability
If frames transmit all measurement values, then data completeness is improved, but frame size varies making time series data generation more complex
Solution Approach 1:
The patent applies feedback by implementing a mechanism where the measurement device includes information about the number of measurement values in each transmitted frame. The control device uses this feedback information to correctly parse and process the variable-size frames, generating time series data by arranging measurement values in chronological order based on the provided counts. This feedback mechanism simplifies the processing complexity despite variable frame sizes.
Data Source
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AI summary
A measurement system (1) and method, which increases a degree of freedom for setting a measurement period and a transmission period of measurement values and has a high accuracy, are provided. The measurement system includes a control device (100) and a measurement device (300) measuring a measurement object (W) in a first period (Tb) and transmits measurement values obtained from the measurement device to the control device. The measurement device transmits the measurement values waiting to be transmitted and additional information including information of the number of the measurement values waiting to be transmitted to the control device using frames transmitted in a second period (Ta) that is longer than the first period. The control device generates time series data in which the measurement values are arranged in time series using the additional information.