Cable routing network generation optimization

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1 Cable routing – Automated cable routing network design generation ECABLE Cable routing network generation optimization THE AI PROGRAM

Transcript of Cable routing network generation optimization

Page 1: Cable routing network generation optimization

1Cable routing – Automated cable routing network design generation

ECABLECable routing network generation

optimization

T H E A I P R O G R AM

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2Cable routing – Automated cable routing network design generation

ACTEMIUM : A MAJOR PLAYER IN THE CABLE ROUTING INDUSTRY

A project initiated by Actemium in collaboration with Axians, dedicated to the

conception and installation of cable routing network for industrial plants

10 mds €Market size

300 km

of cables per project

Xx weeksof to design a cable routing

Cables

Trays

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Problem modeling Network design Quality checks

Lack of

flexibility

Suboptimal

design

Manual adjustments

Tedious ComplexRigid

process

Lack of

flexibility

Incomplete

report

eCable is an AI solution for optimized and automated cable routing

generation

ECABLE : AN AI-BASED SOLUTION TO OPTIMIZE CABLE ROUTING GENERATION

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4Cable routing – Automated cable routing network design generation

ECABLE : AN AI-BASED SOLUTION TO OPTIMIZE CABLE ROUTING GENERATION

1 Building’s blueprints data processing

Key steps of the solution

Transformation into a graph representation

Data visualization to gather insights on the network

Loop

pattern

Critical

area

Linear

pattern

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1 Data collection and

analysis

2 Network optimization

Key steps of the solution

Performance

• Respects lockings & redundancy

constraints

• Respects lockings & redundancy

constraints

• Respects lockings, redundancy &

local areas constraints

• Respects lockings, redundancy &

local areas constraints

• Respects all constraints

• Optimizes cost & load

distribution

• Respects all constraints

• Optimizes cost & load

distribution

Multi-level

genetic model

Sub-graph

Dijkstra

KAB-pla

ECABLE : A PROPRIETARY AI-BASED SOLUTION

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ECABLE : AN AI-SOLUTION IN A PROPRIETARY APPLICATION

3 Quality checks

Key steps of the solution

Additional indicators for

network output validation

Detect constraints

violations

Compute total amount of

copper

Detailed reporting

Flexibility to implement

custom indicators

Connection to external databases

Possibilities to include complex

calculations

1 Data collection and

analysis

2 Network optimization

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ECABLE : A SPEARHEAD AI SOLUTION FOR CABLE ROUTING OPTIMIZATION

3

1 Data collection and

analysis

2

Quality checks

Network optimization Gain independence over the currently used

deprecated software

Pave the way to deploy more AI models and new

features

Key steps of the solution

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ECABLE: WHEN OPERATIONAL PERFORMANCE MEETS INNOVATION

Time savings on cable

routing design

Paving the way for

further innovation

Proprietary application

Upskilling in graph

optimization

Calculation provides better

cable routing layout

Checking process optimized

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ECABLE : THE A.I. REVOLUTION FOR THE ACTEMIUM’ ANALYTICAL TEAM

Developing a new tool for Actemium to initiate the conception, deployment and

commercialization of AI solutions inside the Analytical team

Production Prospection

Train AcculturateDeploy Guide

1 2

Conceive Develop

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ECABLE SUMMARY

Going forwardGENESIS RESULTSSOLUTION

The eCable solution aims at

optimizing the cable routing

generation process to win

more contracts and increase

profitability per contract

Time is saved on cable

routing design

The technological stack as

well as the knowledge

acquired pave the way for

further improvement of the

process

NEXT STEPS

Deploy a new algorithm to

outperform cable routing

solutions on the market

Sell eCable license via the

analytical team

Extend the product to other

industries

eCable leverages AI

algorithms to optimize a

cable routing network

generation

Project teamBernhard Kirchmair

Mentor

Ismaïl Alaoui

Mentor

Eric Thai

Coach

Tobias Kramer

Project Manager,

Actemium

Andreas Hempel

Cable Management

Manager, Actemium

Christian Dangl

Data Engineer,

Axians ICT Austria GmbH