Data Binning for Industrial Diagram Rendering
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Solution Overview
Problem
The creation of diagrams for monitoring industrial processes is hindered by limited network bandwidth and computing power, particularly when dealing with large amounts of data, leading to bottlenecks in interactive work and inefficient data transmission.
Innovation Solution
A method that preprocesses data records by discretizing coordinates into bins, assigning values to each bin, and aggregating data points according to predetermined criteria such as maximum, minimum, or median, allowing for efficient rendering and transmission of diagrams with reduced computational and bandwidth requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all measurement data is transmitted and rendered with high resolution, then diagram quality and detail are improved, but network bandwidth and computing power are overwhelmed
Solution Approach 1:
The patent divides the coordinate space into discrete bins, segmenting the continuous data into manageable discrete units. This segmentation allows selective processing and transmission of only necessary data points, reducing overall data volume while maintaining essential diagram quality
Solution Approach 2:
The patent applies partial action by selectively processing and transmitting only certain data points based on binning criteria, rather than processing all data with equal detail. This partial processing approach reduces computational load and network bandwidth requirements while preserving essential information
2Loss of information
If the observed time interval is extended to capture more process data, then analysis completeness is improved, but data volume increases causing network and computing bottlenecks
Solution Approach 1:
The patent merges multiple data points that fall within the same bin into a single representative value. This merging process reduces data volume by combining redundant information while preserving the essential trends and patterns needed for complete analysis
Solution Approach 2:
The patent changes the parameter representation by transforming continuous coordinate values into discrete bin indices. This parameter transformation reduces the data volume needed to represent the same information, enabling extended time intervals to be processed efficiently
3Productivity
If data is discretized into bins to reduce data volume, then network bandwidth and computing efficiency are improved, but potential loss of fine-grained data details occurs
Solution Approach 1:
The patent creates a simplified copy of the original data by mapping continuous values to discrete bin representations. This copied data structure maintains the essential patterns and trends while using significantly less storage and transmission resources, achieving productivity improvement without critical information loss
Data Source
AI summary
A method for preprocessing data records for rendering in a diagram having first, second and third coordinates, wherein values of the first coordinate of the diagram, and/or values of the second coordinate of the diagram are discretized in bins. The method includes assigning to each bin of the first coordinate or to each bin of the second coordinate, data records having a value of the first coordinate or values of the first coordinate and the second coordinate, checking a number of data records that is assigned to each bin; when only one data record is assigned to a bin, instructing rendering the diagram using a third coordinate value of the data record, and when multiple data records are assigned to a bin, instructing rendering the diagram using selected third coordinate values, determined according to a predetermined criterion in which at least one value is chosen and/or aggregated.