MongoDB IoT City Tour LONDON: Industrial Internet, Industry 4.0, Smart Factory & Big Data. By, Tech Mahindra & Bosch SI

© TechMahindra, MongoDB and Bosch Software Innovations GmbH 2014. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.

TechMahindra, MongoDB and Bosch Software Innovations

Industrial Internet, Industry 4.0, Smart Factory & Big Data



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Circle of Concern today

This is where the story ends



3

This is where the story starts

Circle of Concern tomorrow



Industrie 4.0: The next Industrial Revolution

4

End of 18th century

First mechanical

loom(1784)

Com

ple

xit

y, P

rod

ucti

vit

y

Start of 20th century

Start of 1970s

Since2010

Firstproduction line,

Cincinnati slaughterhouses

(1870)

Firstprogrammable

logic controller (PLC), Modicon 084

(1969)

Zeit

Cyber-physicalSystems (CPS)

Industrie 1.0Industrie 1.0 Industrie 2.0Industrie 2.0 Industrie 3.0Industrie 3.0 Industrie 4.0Industrie 4.0

Source: Forschungsunion, acatech, Abschlussbericht Arbeitskreis Industrie 4.0



Smart Factory

5

Customer Integrated

Engineering

Resilient Factory

Networked Production

Predictive Maintenance

TechnologyMarketplace

Up-Cycling

Adaptive Logistics

New business models through the convergence of IT & production

Source: Forschungsunion Wirtschaft & Wissenschaft



Example: Indoor Asset Tracking

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TechMahindra Track & Trace



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Asset Details Page

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Indoor-Localization using WiFi

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Outlook: High Accuracy Indoor Localization

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HAIP: High Accuracy Indoor Positioning



Outlook: Vertical Integration + HAIP

Vertical Integration From Field Level

to ERP Automatic creation

of quality lots Full transparency

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Example Architecture



Bosch Software Innovations Suite

Manufacturer OperatorCustomer

Identity Management

HTML5/Javascript (Bootstrap/AngularJS)

BPM

- Cisco Position- Mail notification

M2M

- Nutrunner drivers- Smartcards

BRM

-Event evaluation

Third Party Systems

Payment

Cisco MSE

DataBases

Mongo

Mongo

Bosch SI PaaS

TechM/AWS

ERP

NEXO Nutrunner Smart Id Card

Architecture Blueprint

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Common Environment

Business & End User User Interface

App Store

Design Time Repository

Design Tools

Identity Management

User Interface Management

Execution Systems

Business Rules Management

(BRM)

Business Process

Management(BPM)

Device Management

(M2M)

Tenants

Users

Roles

Relations

Authorizations

Distributed Devices

Editors

BRM Rule Models

BPM Process Models

M2M Inform. Models

M2M UI Models

• Modeling• Optimization• Administration• Deployment• Execution, Monitoring

• Modeling• Simulation• Implementation• Execution• Monitoring, Reporting

• Device Integration• SW-Provisioning• Central Registry• Event Management

Foundation: Bosch Software Innovations Suite



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Device Management(M2M)

Business Rules Management(BRM)

Business Process Management (BPM)

Device Management Device Abstraction Event Management Software Provisioning Identity Management

Define actions accordingto certain events

Recommendations for actions

Portal for user interaction

Process modelling Process execution Integration layer with

ESB(e.g. SAP, …)

Agent-

Hub

Central

Registry

Agent-

Hub

Agent-

Hub

M2M BRMBPM

BRMBPM

Details of Bosch Software Innovations Suite



M2M Back End

Connecting Physical Devices: Flexible OptionsLocal

NetworkGlobal Network

1

2

ZigBee

WiFi Bluetooth

NFC

Backend Hub

GSM UMTSLTEDSL InternetWAN

OPCBACnet

Edge Controller

Edge Node

Edge Controller

– : Depending on hardware performance, timing, reliability, communication cost, different distributed system architectures are supported



AgentHub

AgentHub

CommunicationManagement

• Connection control

• Routing• Events• Certificates• Authenticatio

n• Encryption

InfrastructureManagement

InformationModels

SoftwareProvisioning

3

1 3

Edge Node

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Managing IoT Data - Information Models as a Key Enabler

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Each physical “thing” (device/subsystem) is formally described using WSDL/XML models as basis for software abstraction

The model defines the properties and capabilities of the (physical) system

Enables typical applications like

Configuration management

Performance/status monitoring

Fault management

Device Drivers

Services, Events, Properties

Information Model Implementation

Contract

Contract

WSDL, XSD

Java

Java

Defines the services, events, properties

and also communication

patterns

single device or subsystem




Ten

s

Hu

nd

red

s

Th

ou

san

ds

M

illi

on

s

Bil

lion

s

Con

necti

on

s

Internet of Things

Machine-to-Machine

Monitored

Smart Systems (Intelligence in Subnets of

Things )

Telemetry and

Telematics

Smart HomesConnected Cars

Intelligent BuildingsIntelligent Transport

SystemsSmart Meters and Grids

Smart RetailingSmart Enterprise

Management

Remotely controlled and managed

Building automation

ManufacturingSecurityUtilities

Internet of Things

SensorsDevicesSystemsThings

ProcessesPeople

IndustriesProducts Services

Source: Machina Research 2014

Growth in connections generates an unparalleled scale of data



Data

Big data

Changing data models

Real-time Processing

Aggregation

Internet of Things

Large estates of devices

Evolving applications

All forms of data

Data streaming and processing

Pre-IoT (M2M)

Limited estate of devices

Single purpose applications

Structured / Semi-structured

Data transfers (sensors and

actuators)

Evolution from M2M to IoT and Big Data

Source: Machina Research 2014



IoT Data Management Requirements

Rich Applications Single View

Operational Insight

Real-Time

Business Agility

Continuous Innovation

Enterprise-Ready

Secure & Reliable

Multiple Data Sources

Process Convergence



• IoT apps generate multi-structured data

• Modeled more efficiently as JSON documents

• Exposed to powerful analytics

• Developers more productive

– Less time wrestling ORMs

– More time creating apps

Modeling Complex Data

{ assetId: "NEXO 109", hour: ISODate("2014-07-03T22:00:00.000Z"), status: "Online", type: "Nutrunner", serialNo : "100-210-ABC", ip: "127.0.0.1", position: { 0: { 0: { x: "10", y:"40", zone: "itc-1", accuracy: "20” }, …, 59: { x: "15", y: "30", zone: "itc-1", accuracy: "25” } }, …, 59: { 0: { x: "22", y: "27", zone: "itc-1", accuracy: "22” }, …, 59: { x: "18", y: "23", zone: "itc-1", accuracy: "24” } } }}



Capabilities

Solutions

Key Capabilities of Bosch SI Suite & MongoDB

Bosch SI IoT SuiteM2M | BPM | BRM | Big Data

A

D

C

B

Scale

Flexibility

Analytics

Unified View

From Concept to Code

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Vehicle Diagnostics

Business Benefits

Capture proprietary information regarding the vehicle available from the CAN bus and provide the same to R & D teams for further analysis

Provides Battery, Range, Charging Station Status to Owner & Remote Vehicle operations E.g Door lock / HVAC

Manage vehicle Reserve Charge Provide vital EV health details (135 vehicle level alerts handled) enabling trouble shooting , Vehicle Event

replays Reports - Trip Analysis, Trip Details, Trip Summary, CAN Data Summary & CAN DM1 Message Summary Analytics - Interpretation of various CAN messages (Proprietary, Diagnostic & Standard)

Reports - Statistics of Vehicles Customer Complaints, Alerts, Vehicle Details – Around 32 reports for OEM

Vehicle Tracking Screen & CAN Summary Screen

Solution Highlights

Commercial Vehicles are driven across the country for testing purposes. So there is a need for real time information of vehicle parameters to understanding it’s performance against benchmarks

To monitor the health of the EV and provide insight to field support staff to determine the root cause of the problem

Business Need



Business Benefits

Farm to Fork: Tracking and Condition Monitoring of Refrigerated Cargo

Implement and support the consignment tracking system Installation and maintenance of data aggregator units Host application in cloudKey Features: Temperature tracking and monitoring Vehicle location and milestone tracking, Analytics and dashboard Fleet and driver management , Alerts and event management

Adhere to quality norms and improving customer satisfaction

Improved visibility and tracking thus reduce spoilage

Solution Highlights

Transport of minimal shelf life products with varied temperature requirement Managing cold chain is very complex Adherence to SLAs around product freshness and delivery Infrastructure constraints with longer lead times forcing tighter monitoring

Business Need



Cardiac patients in need of continuous medical supervision, observation and care by qualified medical professionals require their heart rates and rhythms to be monitoredChallenge

Benefits

Remote Patient Monitoring

The patient’s ECG data is remotely accessed through cellular network by cloud hosted Remote Patient Monitoring solution and is analysed round-the-clock by a team of qualified and experienced clinicians, cardiac technicians and medical personnel. Monitoring , feedback and emergency alerts are sent within the specified time protocols to the designated parties

Cost Savings for the patient, provider and payer

Reduced medical emergencies and hospital re-admissions

Solution Highlights



E2E Presence along the IoT Value Chain



Thank You

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