Cloud API Expertise Delivery for Optimized Industrial Cutting

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Automated cutting systems face limitations in productivity, flexibility, and effectiveness due to end users' lack of access to updated software-based technologies, improper implementation, and a lack of collaboration and expertise sharing between suppliers and end users, leading to sub-optimal cutting parameters.

Innovation Solution

A cloud-based expertise integration system that collects and stores supplier expertise, allowing for the generation of optimized part program designs for industrial cutting systems, which can be accessed via APIs, enabling real-time updates and collaboration, and reducing the burden on local CNC processors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If end users implement software-based techniques locally, then they can access cutting parameters, but implementation is often sub-optimal and incomplete due to lack of capability or understanding

Engineering Contradiction:
Improveimplementation qualityVSAvoiduser capability requirement
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent introduces a cloud-based expertise integration system that acts as an intermediary between suppliers and end users. This system receives cutting parameters from suppliers, integrates them with usage data from multiple sources, and delivers optimized parameters to end users through APIs. This eliminates the need for end users to implement complex software-based techniques locally, as the expertise integration system handles all processing in the cloud.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the traditional mechanical approach of local software installation and configuration with a cloud-based service model. Instead of requiring end users to install and configure software locally, the system uses web-based APIs and cloud computing to deliver cutting parameters, substituting physical software deployment with network-based service delivery.

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

2Productivity

If suppliers provide cutting parameters through licensing and local software, then end users can access parameters, but updates are delayed and access is limited

Engineering Contradiction:
Improveaccess speed to updatesVSAvoidlicensing infrastructure
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The cloud-based expertise integration system serves multiple functions: it stores cutting parameters, collects usage data from multiple sources, processes and optimizes parameters, and distributes updates to numerous end users simultaneously. This single universal system replaces the need for separate local software installations and manual update processes at each user site.

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

Solution Approach 2:

The patent transitions from a two-dimensional model (supplier to individual user through licensing) to a multi-dimensional cloud-based architecture where suppliers, end users, and usage data from multiple sources interact through a centralized expertise integration system accessible via network connections.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Loss of information

If expertise remains siloed at individual systems, then local systems maintain autonomy, but collaborative expertise growth and global knowledge sharing are hindered

Engineering Contradiction:
Improveexpertise sharingVSAvoidsystem architecture
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent merges previously siloed expertise from multiple sources into a single cloud-based expertise integration system. It combines cutting parameters from suppliers, usage data from multiple end users, and processing information into a unified database that enables global knowledge sharing and collaborative expertise growth while maintaining system autonomy through API-based interactions.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS11662707B2Systems and methods for cloud-based expertise delivery via APIs
Publication Date: 2023.05.30 HYPERTHERM INC
  • US11662707B2 patent drawing
  • US11662707B2 patent drawing
  • US11662707B2 patent drawing

AI summary

A method for processing a part from a workpiece using an industrial cutting system. The method includes receiving first data corresponding to the part to be processed from the workpiece using the industrial cutting system. The method further includes receiving second data corresponding to expertise data generated over a time period. The method also includes identifying features of the part based on the first data and the second data. The method further includes generating a part program design including geometry data and processing parameters for at least one of the features of the part. The method also includes processing the part from the workpiece using the industrial cutting system based on the part program design.