IoT and Big Data  

Building Large-Scale Applications for the IoTDirk Slama, Director Business Development, Bosch Software

innovations

IoT and Big Data

2

IoT Predictions (by 2020-22)

7,1tn IoT Solutions Revenue | IDC

Some Big Numbers:

1,9tn IoT Economic Value Add | Gartner

309bn IoT Supplier Revenue | Gartner

50bn Connected Devices | Cisco

14bn Connected Devices | Bosch SI

Some Small Numbers:

http://postscapes.com/internet-of-things-market-size

Peter Middleton, Gartner:“By 2020, component costs will have come down to the point that connectivity will become a standard feature, even for processors costing less than

$1“

IoT and Big Data

Bosch Group – Example Products

IoT and Big Data

THING IT[HW | SW]

THING-BASEDFUNCTION[Local | Business models known]

IT-BASEDSERVICE

[Global | Business models required]

IoT Formula for Success

Example SERVICE: Send ambulance in case of accident (detected by sensors)

Example FUNCTION: Drive from A to B

A B

Source: University of St. Gallen, Prof. Dr. Elgar Fleisch

IoT and Big Data  

Key Elements of the IoT Ecosystem

Enterprises

Partners

Users

Things

IoT and Big Data

Vehicle Equipped with telematics unit Sensors to monitor moving

parts, hydraulics liquids, etc

Partners Service provider Repair specialist and vehicle

manufacturers

Vehicle Driver On-board diagnostics Information about other

vehicles, e.g. to unload harvest

Vehicle Operations Intelligent monitoring of

machine KPIs and fluid analysis

Optimum servicing intervals

Example: Remote Condition Monitoring

IoT and Big Data

So this brings us to…

IoT and Big DataTe

ns

Hu

nd

red

s

Th

ou

san

ds

M

illion

s

Billion

s

Con

necti

on

s

Internet of Things

Machine-to-Machine

Isolated (autonomous, disconnected)

Monitored

Smart Systems (Intelligence in Subnets of

Things )

Telemetry and

Telematics

Smart HomesConnected Cars

Intelligent BuildingsIntelligent Transport

SystemsSmart Meters and

GridsSmart Retailing

Smart Enterprise Management

Remotely controlled and managed

Building automation

ManufacturingSecurityUtilities

Internet of Things

SensorsDevicesSystemsThings

ProcessesPeople

IndustriesProducts Services

Growth in connections generates an unparalleled scale of data

Source: Machina Research 2014

IoT and Big Data

A new mindset and technology is required for

IoT

A changing approach to databases in the Internet

of Things

IoT and Big 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 and Big Data

Data

Big data

Changing data models

Real-time processing

Aggregation

Databases will need to address new requirements

Scalability

Flexibility

Analytics

Unified View

Source: Machina Research 2014

IoT and Big Data

IoT Foundation: Bosch Suite for IoT

A

D

C

B

Scale

Flexibility

Analytics

Unified View

IoT and Big Data

Use Case 1: Handheld Power Tools

IoT and Big Data

MongoDB Schema for Assets & Nutrunners Nutrunner

{_id: "Nutrunner1",asset_id: "Asset1",status: "ready",battery_status: "40",total_cycles: "5000",tightenings : [

{timestamp: "2014-06-18

12:00:00",torque: "90",toleranceTorque: "0.2",angle: "20",toleranceAngle: "0.1",duration: "1.9s",status: "OK"}

]}

14

M2M Device Information

Model

IoT and Big Data

Phase I (work in progress)

15

M2M Asset

Management

M2M as „ESB for Devices“ID Card, Tightening Tool, Riveter, Paint Spray Gun, …

M2M Device Information Model

IoT and Big Data

UI (work in progress)

16

IoT and Big Data

Phase II (future)

HAIP: High Accuracy Indoor Positioning

MES

IoT and Big Data

Use Case 2: Systematic Capturing of Field Data Project sFDE

Field Data Collection and Analysis

Components: Car brakes, power steering etc (via ECU)

Usage patterns: temperature, voltage, etc.

Predictive maintenance, product optimization

Synergies through standardized field data capturing

Continuous feedback from control units in the field

Reduce return ratesImprove quality

Why MongoDB: Constantly evolving system, from a data

capturing and a data analytics point of view

Large amount of streaming data Scalability, enterprise features References and Support

IoT and Big Data

sFDE Solution in Production

SaaS(Sotware as a Service)

Asset Management

Stream Processing

Big Data Manageme

ntAnalytics

BRM BRM

Rollout Repair Shops

1.000

IoT and Big Data

sFDE BigData Management

Organization, administration and governance of large volumes of both structured and multi-structured data.

Data quality Accessibility for business

intelligence and big data analytics applications

Data enrichment Providing usability for

multi-structured and semi-structured data from a variety of sources

Ensure data security Data classification to

provide smaller sets of data for quickly analyzing

Highly scalable High performance / low

latency Robustness Data as a service

Goals

IoT and Big Data

sFDE BigData Management

Key goal: Provide usability for multistructured and semistructured data from a variety of sources

IoT and Big Data

sFDE BigData Management

Data enrichment with structure information (Diagram types, data ranges, computed geo information, …)

Data transformation (Views, …)

_28_AbsPdiffDist: { “DiagTyp”:”dim2” "_0_from_0_to_2p5_s" : { “rangeV”:0, “rangeT”:2.5, "_0_from_0_to_15_bar" : { “rangeV”:0, “rangeT”:15, "unit" : "s", "value" : 71.27999877929688 },.... "_6_greather_than_200_bar" : { “rangeV”:200, “rangeT”:”max”, "unit" : "s", "value" : 0 } }, "_2_from_6p25_to_12p5_s" : {....

Accessibility for business intelligence and big data analytics applications

Usability of data

IoT and Big Data

Capabilities

Solutions

Summary

Bosch SI IoT SuiteM2M | BPM | BRM | Big Data

A

D

C

B

Scale

Flexibility

Analytics

Unified View

IoT and Big Data  

Any questions?