Industrial Analytics Data Segregation and Aggregation
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Solution Overview
Problem
Existing data communication systems for industrial analytics are not easily reconfigurable, making it challenging to adapt to new analytical models or industrial systems, which can lead to bottlenecks in data processing and hinder quick processing of sensor data for alarm detection and preventative actions.
Innovation Solution
A reconfiguration system that modifies and deploys segregator and aggregator codes within the data transmission system based on configuration parameters, allowing for dynamic reconfiguration of data subsets and transmission routes to efficiently route industrial data to appropriate analytical models, thereby optimizing data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing data communication systems are used, then data transmission is maintained, but the systems are not easily reconfigurable making it challenging to adapt to new analytical models or industrial systems
Solution Approach 1:
The patent segments the data communication system into distinct functional modules: data sources, segregators that divide data into subsets, routers that direct data flow, and aggregators that combine data. This modular segmentation enables independent reconfiguration of each component without affecting the entire system, thereby improving adaptability while managing complexity through structured decomposition.
Solution Approach 2:
The patent implements dynamic reconfiguration capabilities where the data transmission system can adapt its structure and behavior in real-time based on changing requirements. The system dynamically routes data subsets to different analytical models and can modify transmission paths, allowing the system to evolve without physical hardware changes, thus enhancing reconfigurability.
2Productivity
If data is processed through fixed transmission routes, then system stability is maintained, but bottlenecks in data processing occur hindering quick processing of sensor data
Solution Approach 1:
The patent introduces routers as intermediary components that act as intelligent mediators between data sources and analytical models. These routers receive data subsets from segregators and dynamically determine the optimal transmission path based on current system state, analytical model availability, and data priorities. This intermediary layer enables flexible routing that eliminates bottlenecks by distributing data flow across multiple paths simultaneously.
Solution Approach 2:
The patent changes transmission parameters dynamically based on system conditions. The system monitors data flow characteristics, analytical model processing capacities, and queue depths, then adjusts transmission rates, routing decisions, and data subset compositions in real-time. This parameter adaptation allows the system to optimize processing speed under varying loads and prevent bottlenecks before they occur.
Data Source
AI summary
The method includes receiving data characterizing a first segregator code, a first aggregator code and a plurality of configuration parameters associated with a data transmission system. The data transmission system is configured to receive operation data characterizing an operation of an industrial system and transmit a portion of the operation data to a first analytical model. The method also includes modifying the first segregator code and the first aggregator code based on one or more configuration parameters of the plurality of configuration parameters. The method further includes deploying the first segregator code and the first aggregator code in the data transmission system. The first segregator code is configured to provide a first portion of the operation data to the first analytical model via a first data transmission route that includes the first segregator code and the first aggregator code.