Measuring Computer Data Transmission via Statistical Characteristic Extraction
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Solution Overview
Problem
In distributed measuring systems, transmitting large volumes of measured data can impair network transmission quality, overload measuring computers, and exceed data storage capacity, making it difficult to maintain measurement accuracy and overview of quality assurance measures.
Innovation Solution
The method involves combining measured data into characteristic values over a predetermined time interval, which are then transmitted instead of the actual data, using statistical values like minimum, maximum, mean, and standard deviation to reduce data volume while retaining necessary information for evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all individual measured data are transmitted from measuring computers to control computer, then complete measurement information is available, but network transmission quality deteriorates and measuring computers are overloaded
Solution Approach 1:
The patent extracts only the essential characteristics from the complete measurement data by calculating statistical values (minimum, maximum, mean, standard deviation) at the measuring computers. This extraction process removes unnecessary raw data while retaining the key information needed for quality assurance, thereby reducing network transmission load without significant loss of measurement information.
Solution Approach 2:
The patent segments the measurement data processing by dividing it into two stages: local statistical evaluation at measuring computers and central visualization at the control computer. This segmentation allows each component to handle only the necessary data volume, preventing overloading while maintaining information completeness through hierarchical processing.
2Loss of information
If all individual measured data are stored in the database, then complete measurement records are preserved, but data storage capacity is exceeded and overview becomes difficult
Solution Approach 1:
The patent applies data extraction by computing statistical characteristics (minimum, maximum, mean, standard deviation) directly at the measuring computers before storage. This reduces the volume of data requiring database storage while preserving the essential measurement information needed for quality assurance and analysis.
Solution Approach 2:
The patent transforms raw measurement data into different parameter forms (statistical values) that convey the same measurement information in a more compact representation. By changing the data parameters from individual measurements to aggregated statistics, the storage volume is reduced while maintaining information completeness.
3Productivity
If measured data are transmitted over the same network being measured, then network utilization is maximized, but transmission quality on measurement paths is negatively affected
Solution Approach 1:
The patent extracts statistical characteristics from measurement data at the measuring computers before transmission to the control computer. This extraction significantly reduces the data volume requiring transmission over the network, allowing high network utilization while minimizing the impact on measurement path transmission quality.
Data Source
AI summary
A method for transmitting measured information from a measuring computer to a control computer of a measuring system, the control and measuring computers being interconnected via a telecommunications network, includes combining measured data into characteristic values having a lower volume than the measured data. The characteristic values are transmitted from the measuring computer to the control computer.