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Solution Overview

Problem

Industrial automation systems face challenges in efficiently performing high and complex computing tasks, particularly in real-time scenarios, which can be complicated by the need for complex calculations and rapid data processing.

Innovation Solution

The system offloads complex calculations from the control device to an external data processing device connected directly to it, using an AI-based software module executed on a trained artificial neural network to process audio and/or video signals and sensor data, with the results transmitted back to the control device for immediate use.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If complex calculations are performed by the control device alone, then the system structure remains simple, but the computing performance and real-time processing capability deteriorate

Engineering Contradiction:
Improvecomputing performanceVSAvoidsystem structure
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system divides the computing tasks into two segments: the control device handles real-time control logic and coordination, while the external data processing device handles complex computational tasks using AI algorithms. This segmentation allows each component to specialize in its strengths, improving overall computing performance without overwhelming the control device.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

An external data processing device is introduced as an intermediary between the control device and the data sources. This intermediary handles the computationally intensive AI processing while the control device maintains its real-time control functions, effectively mediating between data processing needs and control requirements.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Speed

If complex calculations are performed by the control device, then data processing can be centralized, but the real-time processing speed and responsiveness deteriorate

Engineering Contradiction:
Improvereal-time processing speedVSAvoidprocessing architecture
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The processing architecture is segmented into real-time control processing (control device) and complex computational processing (external data processing device). The control device maintains real-time responsiveness for control decisions, while the external device handles complex AI calculations at high speed, with results fed back to the control device.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent replaces traditional mechanical control processing with AI-based software modules running on external hardware. The AI algorithms process complex patterns and calculations much faster than traditional control methods, substituting mechanical processing limitations with intelligent algorithmic processing.

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

3Productivity

If AI-based processing is implemented, then data processing capability is enhanced, but the system complexity and integration difficulty increase

Engineering Contradiction:
Improvedata processing capabilityVSAvoidintegration difficulty
Core Design Contradiction:
ProductivityVSEase of manufacture

Solution Approach 1:

The external data processing device is designed as a universal platform that can handle multiple AI algorithms and processing tasks. The control device communicates with this universal platform using standardized protocols, allowing the system to adapt to different processing needs without requiring complete system redesign.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The external data processing device serves as an intermediary layer that abstracts the complexity of AI processing from the control device. The control device interacts with this intermediary through well-defined interfaces, shielding the control logic from the underlying AI processing complexity and simplifying integration.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250155865A1Control and/or data transmission system
Publication Date: 2025.05.15 PHOENIX CONTACT GMBH & CO KG
  • US20250155865A1 patent drawing
  • US20250155865A1 patent drawing

AI summary

A control and/or data transmission system for performing complex and elaborate calculations, includes at least one external data processing device directly connected to the control device. The outsourced calculations are performed by the external data processing device using a software module based on a trained artificial neural network. The results are then transmitted directly to the control device without any detours. For this purpose, the external data processing device is connected to the control device via a direct connection, i.e. a point-to-point connection. The AI-based software module preferably processes audio and/or video signals as input signals, which are transmitted from an external input device to the control device and from there to the external data processing device.