Processor Core Array for Real-Time Equipment Behavior Characterization
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Solution Overview
Problem
The existing multi-sensor data processing systems for characterizing equipment behavior face challenges with high data volumes, real-time processing demands, and resource inefficiencies due to the need for high-bandwidth infrastructure and intermediate storage, which hinder timely detection and prediction of equipment trends.
Innovation Solution
A data processing device comprising a plurality of processing units that implement numerical transfer functions configured by pre-processing historic data, allowing for real-time characterization of equipment behavior by shifting configuration processing to external computers and using a configuration bus for flexible and efficient data processing, enabling prediction and adaptation to different behavior properties without significant delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a multi-sensor approach is used to detect equipment behavior trends, then measurement precision and detection capability are improved, but data volume increases significantly requiring high-bandwidth infrastructure
Solution Approach 1:
The patent applies preliminary action by pre-processing historic sensor data offline to generate configuration parameters before real-time processing. Multiple sensors process their data independently using pre-computed configurations, avoiding the need to transmit and process all raw sensor data centrally in real-time, thus reducing bandwidth requirements while maintaining detection precision.
2Reliability
If all sensor data is processed by a central processing unit, then processing comprehensiveness is improved, but processing time increases and real-time performance deteriorates
Solution Approach 1:
The patent segments the processing system into multiple independent processing units, each handling specific sensor data types or processing tasks. Each unit operates autonomously with its own configuration, enabling parallel processing of sensor data without centralized bottlenecks, thus reducing processing time while maintaining comprehensive analysis through aggregation of individual unit results.
3Adaptability or versatility
If intermediate storage is implemented to support multiple processing applications, then adaptability is improved, but infrastructure complexity and resource requirements increase
Solution Approach 1:
The patent implements universality by designing processing units with configurable parameters that can be adjusted to support different processing applications without requiring separate dedicated infrastructure. The same hardware processing units can be reconfigured via parameter settings to handle various sensor data types and analysis requirements, eliminating the need for multiple specialized processing systems and intermediate storage structures.
Data Source
AI summary
A data processing device (100) characterizes behavior properties of equipment under observation (105). The device (100) has a plurality of processing units that are adapted to process input values (a) to output values (e) according to numerical transfer functions. The functions implement an input-to-output mapping specified by a configuration (C) that is obtained by pre-processing historic data (114) from a plurality of master equipment (104). The configuration is related to the behavior properties of the equipment (105) so that some of the output values (e) represent the behavior properties of the equipment (105) under observation.