Data Collection System Load Distribution via Memory Segmentation

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Solution Overview

Problem

Large-scale industrial plants like iron and steel or paper mills face data collection challenges due to insufficient data collection capacity, leading to decreased data transfer processing rates when using multiple data transfer apparatuses in a distributed manner.

Innovation Solution

A data collection system with a master data collection apparatus and multiple data collection apparatuses, where the master apparatus divides memory areas into groups and subgroups to optimize data reading based on transfer rate characteristics, and assigns these groups to distribute data collection load, ensuring continuous data reading without reducing processing rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If multiple data collection apparatuses are provided to handle large-scale data collection, then data collection capacity is improved, but data transfer processing rate decreases

Engineering Contradiction:

Improvedata collection capacityVSAvoiddata transfer processing rate

Core Design Contradiction:

Quantity of substanceVSProductivity

Solution Approach 1:

The memory area in the master scan data storage unit is divided into multiple groups, and each group is further divided into multiple subgroups. Collection groups are selected and assigned to different data collection apparatuses, enabling segmented data collection that maintains high transfer rates by optimizing read operations.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a hierarchical organization dimension with groups and subgroups, transforming the flat data storage structure into a multi-level structure. This enables efficient load distribution across multiple apparatuses while maintaining optimal read speeds through controlled access patterns.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If data are divided into small pieces and collected in a distributed manner, then data collection scalability is improved, but data transfer processing rate decreases

Engineering Contradiction:

Improvedata collection scalabilityVSAvoiddata transfer processing rate

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

Data are segmented into collection groups at appropriate levels, balancing granularity for scalability with size for transfer efficiency. The group and subgroup structure allows flexible assignment to multiple apparatuses while maintaining optimal transfer rates through continuous reading within groups.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different regions of the data storage are organized with different characteristics through the group/subgroup hierarchy. Each collection group is optimized for continuous reading, while the overall structure provides scalable distribution across multiple apparatuses with varying capabilities.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS9710537B2Data collection system and data collection system program

Publication Date: 2017.07.18 TMEIC CORP

AI summary

Provided are a group selector 431 configured to select collection groups from multiple subgroups obtained by dividing a memory area in a first storage unit 411b; a collection group assigner 432 configured to assign the selected collection groups to data collection apparatuses 41 to 43 in order to distribute load of data collection; and a schedule generator 433 configured to generate a schedule for reading the data from the first storage unit 411b. Each of the data collection apparatuses 42, 43 includes a schedule generator 443 configured to generate a schedule for reading the data from the first storage unit 411b on the basis of a collection cycle and the number of collection groups assigned to the data collection apparatus 42.