c+e black belt industry workshop azure iot suite …bpgurus.com/sdi16mx/pdf/francisco corona - el...

26
C+E Black Belt Industry WorkShop Azure IoT Suite – Real Life Projects LATAM Paco Corona – [email protected] Microsoft Confidential

Upload: vuongtuyen

Post on 03-Apr-2018

220 views

Category:

Documents


1 download

TRANSCRIPT

C+E Black BeltIndustry WorkShop

Azure IoT Suite – Real Life Projects

LATAM

Paco Corona – [email protected]

Microsoft Confidential

6

Utilities

What is what customer looking for?

o Machine Condition Monitoring

o Predictive Maintenance

o Microgrids and Virtual Power plants

o Cross-Energy Management

o Metering

o Power Availability

Large Power PlantsEconomies of Scale, fossil fuels

Many Small PlantsRenewable energies, microgrids

Stable SupplyLarge plants have very little fluctuation

Fluctuating SupplyExample: influenced by weather conditions (wind)

Demand DrivenElectricity supply must react to changes

in demand

Demand-Side IntegrationLoad changed depending on available supply

Analog CouplingLoad detects fluctuations in supply

through changes in frequency

Digital CouplingSupply and demand integrated using digital communication

Traditional Power Grids Future Smart Grid

7

M 2

M

Ass

ets

Gas Turbines

Cooling

Towers

Ente

rprise

National Instruments InsightCM Enterprise Software

Multi-variable, multi-sensor visualization

Time Series DataBase Historian

Prognostics & Advance Pattern Recognition Software

Thermal Imaging

Vibration Sensing

Motor current Analysis

Temperature & Pressure

Device

Intelligent Acquisition device with on-board processing

Real Time feature extraction and analysis

Alarming

Enterprise

Applications

Local Asset

Control

Backend

Gateway

Agin, archiving & storage of data

Systems management of acquisition devices

Alarming

Post processing analytics

Fans

Motors

Compressors and Generators

8

9

11

12

13

Use Case Name

GreenHouses

Comtoso was searching for an innovative

solution in order to measure critical factors

that affect their greenhouses in real time and

therefore tomato production, these factors

being:

o Temperature

o Humidity

o Soil moisture

o Soil temperature

o PH

o Radiation (Joules)

Power Availability

AgroTech

14

AgroTech

15

16

17

18

Remote Monitoring, Predictive

Maintenance

Fleet Management

19

Use Case Name

Monitoring

Fleet Management

20

Use Case Name

Fuel Theft Prevention

Fleet Management

21

Use Case Name

Cargo Theft Prevention

Fleet Management

22

26

27

Use Case Name

ATMs Predictive Maintenance

Anomalies in the operation of the ATMs of

Contoso is a matter of first importance that

should attend since the interruption of the

service provided affects negatively customers

satisfaction and the profitability of the

business

Financial Services

28

Use Case Name

ATMs

Financial Services

Microsoft is Bringing the Internet of Your Things to life

Producers /

Consumer Connect Devices Storage Analytics Take Action

Event Hubs SQL DatabaseMachine Learning

Azure Websites

Service BusTable/Blob Storage

Stream Analytics Power BI

External Data Sources

DocumentDB HDInsightNotification Hubs

External Data Sources

Data Factory Mobile Services

BizTalk Services

{ }

What you get with remote monitoring preconfigured solution

Devices

Azure IoT Suite Remote Monitoring

Back end

systems

and

processesC# simulatorEvent Hub

Storage blobs DocumentDB

Web/Mobile App

Stream Analytics Logic Apps

Azure

Active Directory

IoT Hub Web Jobs

Power BI

What you get with predictive maintenance preconfigured solution

Devices

Azure IoT Suite Predictive Maintenance

Back end

systems

and

processesC# simulatorEvent Hub

Storage blobs DocumentDB

Web/Mobile App

Stream Analytics Logic Apps

Azure

Active Directory

IoT Hub Web Jobs

Power BI

Machine Learning