Remote Drive Parameter Optimization via Algorithmic Conflict Detection

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Solution Overview

Problem

Setting and optimizing drive parameters for industrial drives is complex and often not done correctly, leading to non-optimal performance and efficiency, especially when drives are moved between processes or when process properties change.

Innovation Solution

A system that collects and analyzes drive parameter data using a remote computing apparatus connected via a communications network, generating algorithms to estimate optimal drive parameters based on registration and parameter data, allowing for real-time monitoring and adjustment of drive settings for optimal performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If drive parameters are manually set during commissioning, then initial configuration is completed, but optimal performance cannot be guaranteed due to complexity and lack of expertise

Engineering Contradiction:
Improvedrive performance optimizationVSAvoidparameter setting complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The drive system automatically optimizes its own parameters by collecting operational data, analyzing performance patterns, and self-adjusting settings without requiring external expert intervention. The drive serves itself by implementing closed-loop learning from its operational history.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors drive operation, collects parameter data, analyzes performance feedback, and uses this information to automatically adjust parameters for optimal performance. This closed-loop feedback mechanism enables continuous optimization based on actual operational conditions.

Inventive Principle:
Principle #23Feedback

2Adaptability or versatility

If drive parameters are adjusted for different processes or changing conditions, then adaptability is improved, but the complexity of managing and reconfiguring parameters increases

Engineering Contradiction:
Improvedrive adaptability to process changesVSAvoidparameter management complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The drive parameter system transitions from static manual configuration to dynamic automatic adjustment. Parameters are continuously optimized based on real-time operational conditions and historical data analysis, enabling the system to adapt automatically to changing process requirements without manual reconfiguration.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system pre-configures optimal parameters by analyzing historical operational data and predicting suitable settings for different process conditions. When process changes occur, the drive can quickly switch to pre-determined optimal parameter sets based on similar historical patterns.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If extensive testing and expertise are used to set drive parameters correctly, then initial optimization is achieved, but time and resource consumption increase significantly

Engineering Contradiction:
Improveparameter setting accuracyVSAvoidcommissioning time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual expert-based parameter setting (mechanical/human process) with automated data-driven optimization (electronic/computational process). The system uses computational algorithms to analyze operational data and determine optimal parameters, substituting human expertise with automated intelligence.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates and maintains a digital model of optimal parameter configurations based on collected operational data. This digital knowledge base is continuously updated and reused to quickly configure drives for similar applications, eliminating the need to repeat extensive testing for each new installation.

Inventive Principle:
Principle #26Copying

Data Source

PatentEP3388905B1Drive recognition and optimisation
Publication Date: 2021.08.25 ABB (SCHWEIZ) AG
  • EP3388905B1 patent drawingFigure 1
  • EP3388905B1 patent drawingFigure 2
  • EP3388905B1 patent drawingFigure 3

AI summary

According to an aspect, a method comprises receiving (501), by a remote computing apparatus (104), drive parameter data sent from a drive (101) via a communications network (103), to a remote computing apparatus (104); storing (401, 501) the drive parameters to a database; calculating (402, 502) an expected drive registration data object value for the drive (101) using the first algorithm based on the drive parameter data; comparing (403, 503) the expected drive registration data object value to a corresponding drive registration data object value included in the drive registration data for the drive (101); and if the expected drive registration data object differs from the drive registration data object included in the drive registration data for the drive (101), causing sending (404, 506) information on a conflicting registration data object from the remote computing apparatus (104) via the communications network (103) to the drive (101).