Self Organizing Logistics System Business Models Rune Larsen Usage - - PowerPoint PPT Presentation

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Self Organizing Logistics System Business Models Rune Larsen Usage - - PowerPoint PPT Presentation

Technology Self Organizing Logistics System Business Models Rune Larsen Usage 4. April 2016 Table of Content 1. Introduction 2. Value proposition 3. Objectives 4. System Architecture 5. Mobile Industrial Robot 6. Bluetooth Relay


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Self Organizing Logistics System

Usage Technology Business Models

Rune Larsen

  • 4. April 2016
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SLIDE 2

Table of Content

1. Introduction 2. Value proposition 3. Objectives 4. System Architecture 5. Mobile Industrial Robot 6. Bluetooth Relay Box 7. Data Collection and Processing 8. POC Demonstration 9. What’s next..

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Introduction

Vestre Viken is a Norwegian HealthCare provider consisting of:

  • 8 Clinics
  • 4 General hospitals
  • 17 Ambulance stations
  • Multiple mental health and substance

abuse treatment facilities

  • 9,500 Employees

Drammen hospital

The largest of Vestre Viken facility locate in Drammen, Norway, servicing over 160 000 inhabitants. Area functions within: Neurology, Pediatrics, Cardiology, and much more

Vestre Viken has chosen Altran Norway AS in partnership with Mektron AS for the POC development of an Automatic Logistics System for the Drammen Hospital

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Vision

Creation of a adaptive system of self-organizing Mobile Industrial robots. self-organized systems",

  • find the best solution for their problems "without intervention".
  • The main feature, is flexibility, since a multi-agent system can be added

to, modified and reconstructed, without the need for detailed rewriting of the application

  • Complex events managed by simple rules
  • Mimicking swarm intelligence in nature

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SLIDE 5

Inspired by Nature

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The Robotic technology

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Autonomous Systems able to:  Sense - feel human touch and watch  Manipulate – able to grip  Move – can walk, climb, and fly  Control – through perception (Sense), processing, and action (Manipulate)

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  • Combining robotics with an Internet connection adds an

enormous source of information for robots to determine a best course of action

  • Enable robots to communicate and share data among

themselves

  • Remote task delegation to robots

If IoT is extended ears, nose and eyes, the IoT-enabled Robots will be extended brain, legs and arms

IoT and Robotics cross enablement

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SLIDE 8

Application Scenarios:

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  • Collaborative Robots in Warehousing and Manufacturing e.g.,

Packaging and Quality inspection

  • Robots for in-door Logistics e.g., in hospitals,

manufacturing,warehousing

  • Autonomous mobile robots: e.g., Google’s self-driving cars,

Logistics robots

  • Cloud Medical Robots e.g., assistive robots for patients
  • Minning and Agriculture e.g., drones for farms, drilling robots etc
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SLIDE 9

Value Proposition

  • Increase delivery efficiency
  • Reducing operating costs
  • Collect and track Key Performance Indicators (KPIs)
  • Real time tracking (equipment, goods, assets, etc.)
  • Shift IT costs to a service based model
  • Provide 24h delivery services
  • Improve supply chain security
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SLIDE 10

Objectives

Develop an autonomous logistic delivery solution for packages and goods between two hospital buildings using a mobile industrial robot Requirements

  • Completely autonomous delivery
  • Real time data logging and

visualization via online service Challenges

  • Automatic route definition
  • Automatic door opening
  • Automatic lift calling, boarding, and

exiting

  • Obstacles avoidance
  • Dynamic environment

Destination 5th Floor Hospital Building Start Warehouse Building

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SLIDE 11

System Architecture

Azure Storage Account

MIR Robot Bluetooth Relays module Elevator Automatic Doors Power BI WiFi - 4G Hotspot Gateway Control Center

running an Azure client

Email notification Dashboard

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Mobile Industrial Robot

  • Loading area 600 x 800 mm
  • Loading capacity up to 100 Kg.
  • Towing capacity up to 300 Kg
  • Operating time of 12-15 hours
  • Changing time 4-6 hours
  • Maximum speed of 5,4 km/hour

MiR100 drives and independently in environments with people and obstacles using its (2) laser scanners, (1) 3D camera, and Multiple Maps Files

MiR100

  • Running ROS - Robotic Operating

System

  • Embedded WiFi router
  • Local Web Server
  • Bluetooth Smart enabled
  • Serial Interface and REST API available

Electro-Mechanical Specs System Specs

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Bluetooth Relay Box

1. Schindler Elevator Relay switches connected in parallel to:

  • Elevator calling button
  • Go to xthh floor button
  • 2. Automatic Door

Relay switch connected in parallel to:

  • Door open/close switch
  • 4 programmable output relays
  • 1 analog/digital input
  • Proprietary BLE Service/Profile
  • 10+ meters range
  • Debugging via serial interface
  • Configuration via MIR Web interface

Bluetooth Smart Module

Mission Actions

Exit warehouse Move to door1

  • pen door

pass the door close door Go to Elev3 compute path to elevator 3 move to elevator3 front Go to xth floor and destination move to elevator3 front call elevator enter elevator go to 5th floor call switch map go to delivery point

Mission configuration System Specs

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Control Center

Data Collection and Processing

Azure Storage Account Azure client

  • Visual Studio C#

Application

  • Library: Windows

Azure Storage

  • Collect data from

robot via available Rest API

  • Create tables and

insert entities into Azure Table Storage

Power BI

  • Import data from the cloud based Azure

Table Storage

  • Shape and model data in Power BI Desktop
  • Present dashboard/reports with

visualizations of KPIs, positions, etc.

Azure Table Storage

  • Store structured data in

the cloud

Email notification

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SLIDE 15
  • 1. Real Time Analytics

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Demonstration – March 30th

Altran Norway successfully demonstrated the POC for the Vestre Viken management board and Norwegian Healthcare officers

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Next Steps:

POC POC workshop (scheduled April 11th) POC 2 (4 robots, more floors) POC 2 workshop Define next steps

VestreViken Hospitals Extensive deployment

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Future applications-innovation to be delivered

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  • Self ordering cabinets in wards and warehouse
  • Cognitive layer for ordering of supplies
  • Integrating with 3rd party logistics vendors
  • Asset tracking and localisation
  • Theft protection
  • Smart operating rooms
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Thank you for the attention