Processing Path Optimization Using Metadata and Sensor Data

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Solution Overview

Problem

Current methods for determining processing paths are time-consuming and prone to malfunctions, leading to incomplete operational tasks, necessitating a more efficient approach to optimize hardware apparatus control.

Innovation Solution

A method and system that generate metadata, weighting factors, and measurement characteristics from specialized hardware sensors, query a resource database for data processing resources, and execute an optimization process to determine an optimized processing path for controlling the hardware apparatus, enabling dynamic resource adjustment based on cost, time, and quality criteria.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional methods are used to determine processing paths, then multiple processes can be identified, but the process is time-consuming and complicated

Engineering Contradiction:

Improvetask completion reliabilityVSAvoidprocessing path determination time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-generating metadata describing input criteria and pre-storing it in a database. Weighting factors are also pre-calculated and stored. When a processing path needs to be determined, the system retrieves pre-prepared information instead of computing everything from scratch, significantly reducing determination time while maintaining reliability

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary optimization process that acts as a mediator between the raw sensor data and the final processing path selection. This optimization process uses pre-stored metadata and weighting factors to efficiently evaluate multiple processes and determine the optimal path, reducing both time and complexity

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If multiple processes are considered for task accomplishment, then task completion reliability improves, but system complexity increases

Engineering Contradiction:

Improveoperational task completionVSAvoidprocessing path determination complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system changes parameters by converting complex process evaluation into a standardized framework using metadata with defined weighting factors. Each process is evaluated based on consistent parameters (cost, time, quality) with pre-determined weights, simplifying the complexity of comparing multiple processes while maintaining comprehensive evaluation for reliable task completion

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The optimization process serves as an intermediary that manages the complexity of evaluating multiple processes. It uses pre-stored metadata and weighting factors to systematically evaluate processes against defined criteria, reducing determination complexity while ensuring reliable task completion through comprehensive process consideration

Inventive Principle:

Principle #24Intermediary (Mediator)

3Manufacturing precision

If optimization based on multiple criteria is implemented, then processing quality improves, but computational requirements increase

Engineering Contradiction:

Improveprocessing path optimization qualityVSAvoidcomputational energy consumption

Core Design Contradiction:

Manufacturing precisionVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary computations by pre-calculating weighting factors for different criteria (cost, time, quality) and storing them in the database. During actual processing path determination, the system retrieves these pre-computed weights and applies them to evaluate processes, maintaining high optimization quality while reducing real-time computational energy consumption

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent transforms the optimization problem by parameterizing criteria with weighting factors. Instead of complex real-time multi-criteria optimization, the system uses pre-defined parameters and weights to evaluate processes, achieving high processing quality through systematic parameter-based evaluation while minimizing computational energy requirements

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10275477B2Processing path determination

Publication Date: 2019.04.30 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method and system for automatically determining a processing path is provided. The method includes generating an input criteria associated with performing a hardware apparatus implemented process. Metadata describing the input criteria is generated and stored. Weighting factors associated with the metadata are generated and a specialized hardware apparatus executing the hardware apparatus implemented process is enabled. Measurement characteristics associated with conditions resulting from the specialized hardware apparatus executing the hardware apparatus implemented process are retrieved from a plurality of hardware sensors. A resource database catalog for hardware based data processing resources is queried and an optimization process for determining an optimized processing path for processing the metadata with respect to the resource database hardware based data and the measurement characteristics is executed. The optimized processing path is executed resulting in specified control decisions associated with controlling the specialized hardware apparatus.