Internet Of Things: What You Need To Know презентация

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RICHARD HARBRIDGE My twitter handle is @RHarbridge, blog is http://RHarbridge.com, and I work at SPEAKER | AUTHOR | SUPER FRIENDLY

Слайд 1Internet Of Things: What You Need To Know
Presented By: Richard Harbridge


Слайд 2
RICHARD HARBRIDGE
My twitter handle is @RHarbridge, blog is http://RHarbridge.com, and I work

at

SPEAKER | AUTHOR | SUPER FRIENDLY


Слайд 3WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 4WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 5Leading Industry examples: utilities, insurance, agriculture, factory,
automobiles, transport, consumer, etc.
SOME

STATS…

Слайд 6Technology Trigger

Peak of Inflated Expectations
Trough of Disillusionment
Slope of Enlightenment
Plateau of Productivity

Turns

out it’s at the peak of the hype cycle right now…

HOW MUCH IS JUST HYPE…


Слайд 7We will see this space transform and take shape in the

next few years.

IT’S STILL IMPORTANT…



Слайд 8Command and control scenarios have much in common with parts of

IoT…
IoT solutions worked for complex and expensive where the cost of a custom
Hardware/software solution is acceptable compared to the cost of the device.

IS THIS EVEN A NEW THING?


Слайд 9For high-volume, homogeneous devices, where software needs are simple.
Thermostat is cheap,

does simple tasks and requires simple analysis.
This is feasible because you amortize the cost of the software across many units.

IS THIS EVEN A NEW THING?


Слайд 10Vending machine and some of these have been around for a

long time.

INTERNET OF THINGS 5 YEARS AGO…


Слайд 11Due to costs and innovation you can do it with more

things for less.

INTERNET OF THINGS NOW…


Слайд 12Koomey’s law is important for IoT. We can do more with

less power.

DISRUPTIVE FORCES…

1970

1980

1990

2000

2010

10,000,000,000

1,000,000,000

100,000,000

10,000,000

1,000,000

100,000

10,000

1,000

Transistors

Moore’s Law

Metcalf‘s Law

Koomey’s Law

1.E+14

1.E+12

1.E+10

1.E+08

1.E+06

1.E+04

1.E+02

1.E+00

Computations
per KWh

1940

2010

1975


Слайд 13Development
is easy
New Innovative Scenarios
Huge benefits
fuel demand


This is relevant now

and will become even more mainstream as time passes.

IoT IS AT AN INFLECTION POINT…


Слайд 14WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 15WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 16Cost of compute and innovation has driven progress in the ‘things’

space.

WHAT IS THE INTERNET OF THINGS?

Things & Devices


Слайд 17Connectivity isn’t just about wi-fi. You need to know wire protocols!
Connectivity

& Communication

Things & Devices

WHAT IS THE INTERNET OF THINGS?


Слайд 18
Here are the key wire protocols and a little about each.
Things

& Devices

AMQP

Advanced Message Queuing Protocol
What we use…
Born on Wall St…

Wire Protocols


MQTT

MQ Telemetry Transport
Most common…
Comes from IBM…


CoAP

Constrained Application Protocol
Think… like REST but small…


OMA LWM2M


XMPP

OMA Lightweight M2M
Device management is possible with this!

Extensible Messaging & Presence Protocol
Jabber? XML?

WHAT IS THE INTERNET OF THINGS?


Слайд 19Don’t forget you need to know about different connectivity options.
WHAT IS

THE INTERNET OF THINGS?

Слайд 20
It’s important to understand how information is exchanged (basic IoT comm).













WHAT

IS THE INTERNET OF THINGS?

1011011

I’m okay.

Do this. Now.

Info


Слайд 21The point of IoT is to gather the data. It’s what

we hope to get value from.

Things & Devices

Data

WHAT IS THE INTERNET OF THINGS?


Слайд 22Analytics unlocks the value from the data. It’s where the value

get’s realized.

Things & Devices

Data

WHAT IS THE INTERNET OF THINGS?


Слайд 23WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 24WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 25While this may seem daunting don’t worry we can overcome all

of these.

IOT CHALLENGES…


Слайд 26So how do you begin addressing these challenges? Why with Azure

IoT…

FIRST PRINCIPLES…


Слайд 27WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 28WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 29



The problem is handling device volume and scaling over time. Not

with MSFT.

SCALE IoT WITH MICROSOFT…


Слайд 30
+
Visual Studio & UWP
Microsoft investments continue in the IoT space.
WINDOWS IOT EDITIONS…


Слайд 31Microsoft made an awesome variant of Windows 10 just for this!
WINDOWS

IOT CORE…

These are popular devices. Raspberry Pi the most popular.
Keep in mind these are large devices in the big scheme of things.
There are smaller more energy efficient devices if you are looking to do more cost effective solutions.

Architected to run on ARM and x86 devices…

AllJoyn support facilitates autonomous discovery and interaction with nearby IoT devices. (More peer to peer versus only hub and spoke.)

No Windows shell.

Remotely configure, monitor and deploy apps via SSH, web and PowerShell.


Слайд 32Apps for the Windows IoT core means universal and easier to

build apps!

IS THIS REALLY THAT INTERESTING?


Слайд 33Azure Certified for IoT program helps customers quickly identify hardware
and

software offerings verified to work with Azure IoT services.

AZURE CERTIFIED INTERNET OF THINGS…


Слайд 34

Device
Connectivity & Management
Event Hubs
High scale telemetry ingestion service
HTTP/AMQP protocol support
Each

Event Hub supports
1 million publishers
1GB/s ingress
Generally available worldwide
18 Billion messages per day
60+ TB ingested per day

Devices can either connect themselves to a Cloud Gateway, or the devices need
to talk to the field gateway which would handle protocol adaptation for ingestion.


THE BIG PICTURE…


Слайд 35This is a very important area of consideration. Which is why…


Device


Connectivity & Management

Additional IoT Needs
Command & control
Device identity
Device registry
Device management

THE BIG PICTURE…


Слайд 36

Device
Connectivity & Management
IoT Hub
Capability of the Azure IoT Suite
Bi-directional device

<-> cloud
Up to 10 million devices
Telemetry ingestion
Command & control
Device registry & identity
Device Management
HTTP/AMQP
Extensible protocol support / MQTT


This is based on Event Hub but handles Device Registry, Identity and
Management – which helps take MSFT IoT services to the next level.

THE BIG PICTURE…


Слайд 37Cross platform device support is important.


Device
Connectivity & Management
Cross-Platform
Device Support
Open

source “agent” framework
Simple, secure device <-> cloud connectivity & management
RTOS, Linux, Windows, Android, iOS
Easy to use, not required


Cross Platform C Code

OS Abstraction Layer / OS Bindings

C API

.NET API

Java API

Javascript API

THE BIG PICTURE…


Слайд 38The data can then get analyzed, combined and stored for usage.


Device


Connectivity & Management

Analytics &
Operationalized Insights

Find insights to
Power new services
Improve your “things”


Operationalize your insights in real time


IoT Scale
Object Models & Business Logic




THE BIG PICTURE…


Слайд 39Lastly we get connectivity with business data, presentation of the data

and more!



Device
Connectivity & Management

Analytics &
Operationalized Insights

Presentation &
Business Connectivity

THE BIG PICTURE…


Слайд 40This greatly speeds up the implementation of common IoT architecture patterns.
AZURE

IOT SUITE (PREVIEW)

Слайд 41

{ }







The services we will focus on today are circled in

red.

AZURE IOT SERVICES…


Don’t forget… IoT Suite (Preview) & IoT Hub (Command & Control, Security, Reg & Ident & More…)


Слайд 42

{ }
The services we will focus on today are circled in

red.

AZURE IOT SERVICES…



Слайд 43HETEROGENEOUS CLIENT LIBRARIES…
Along with tools (Serializer, Device Explorer (debug/eval), mbed tools,

samples…)

Multi-platform (Linux, RTOS, mbed, node.js, Windows), multi-language client libraries (C, C#, JavaScript, Java) reduce the friction in connecting your disparate sensors and line-of-business assets to Azure Event Hubs.
Clients securely send AMQP telemetry via TLS directly to the cloud or via gateways (protocol gateway supports MQTT).
Data is buffered when network is unavailable and messages are batched to improve communication efficiency.


Слайд 44

{ }
The services we will focus on today are circled in

red.

AZURE IOT SERVICES…



Слайд 45
AZURE EVENT HUBS…
Event Hubs are a scalable service for ingesting data

from line-of-business assets
and sensors. Stream millions of events per second with elastic scale.

Scalable publish-subscribe telemetry ingestors
TTP/AMQP Protocol Support
Pluggable adapters for other cloud services
Security ensured via Shared Access Signature (SAS) tokens to authenticate clients.


Слайд 46

{ }
The services we will focus on today are circled in

red.

AZURE IOT SERVICES…



Слайд 47DOCUMENT DB…
Document DB is a fully managed NoSQL document db service.
NoSQL

JSON and JavaScript DB Service
JSON DB for rapid Development
Schema free – for storage and query
Automatic indexing of every document property
CRUD access, query, and JavaScript processing
Integrates with HDInsight, Azure Search, etc.

Слайд 48

{ }
The services we will focus on today are circled in

red.

AZURE IOT SERVICES…



Слайд 49AZURE HDINSIGHT…
Azure HDInsight is a 100% Apache Hadoop-based service in the

cloud meant
to process unstructured or semi-structured data.

Deployable in Windows or Linux
Connects with on-premises Hadoop clusters
Scales from terabytes to petabytes on demand
Processes unstructured or semi-structured data from devices and sensors
Apache Storm for real-time events
Apache Spark for in memory data analysis


Слайд 50

{ }
The services we will focus on today are circled in

red.

AZURE IOT SERVICES…



Слайд 51AZURE STREAM ANALYTICS…
This is a distributed stream computation service that integrates

with Event Hubs
to provide low latency, real-time processing of millions of events per second.

Write queries in SQL with familiar operators and functions to filter and join static and streaming data.
Intake millions of events per second (up to 1 GB/s)
Correlate between different streams, or with static data or models
Easy processing on continuous streams of data
Enables the detection of anomalies.
Ability to trigger an alert when a specific error or condition appears.


Слайд 52

{ }
The services we will focus on today are circled in

red.

AZURE IOT SERVICES…



Слайд 53AZURE MACHINE LEARNING…
Cloud based predictive analytics engine that was designed for

“applied”
machine learning.

Streamlined experience for data scientists, across multiple skill levels
Drag-and-drop, and data-flow graphs to set up experiments
Build and test predictive models, predict future trends or behavior
Publish models as a fully managed web service (API)


Слайд 54

{ }
The services we will focus on today are circled in

red.

AZURE IOT SERVICES…



Слайд 55AZURE NOTIFICATION HUBS…
It is a scalable mobile push notification engine that

can target millions of
devices/messages with single API call.

Target audiences with dynamic tags.
Tailor notifications by audience, language, and location
Use with any back end, in the cloud or on-premises
Dynamically define and reach audience segments


Слайд 56

{ }
The services we will focus on today are circled in

red.

AZURE IOT SERVICES…



Слайд 57MICROSOFT POWER BI…
Power BI provides a live, single pane of glass

dashboard solution for
visualizations and KPIs that is intuitive to use and enables users to do more.

Cloud based business analytics service:
Track data in real-time with support for streaming data
Drill through to underlying reports to explore and discover new insight
Pin new visualizations and KPIs to monitor performance


Слайд 58This is where the integration and developer vision meets. Easy and

impactful. http://developers.de/blogs/damir_dobric/archive/2015/06/14/integrating-iot-with-logicapps.aspx

P.S. – AZURE LOGIC APPS ARE SWEET.


Слайд 59WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 60WHAT WE WILL TALK ABOUT TODAY…

Why IoT Matters…
What is

IoT?
IoT Challenges…
Microsoft’s IoT Investments…
IoT Scenarios…

Слайд 61IMPROVING HEALTHCARE…
Using technology in these ways can go beyond the hospital

facilities as well.

Patient

Azure
Event Hub

Azure
Stream Analytics

Azure
Notification Hubs

Dispatch Nurse




Remote patient telemetry containing vital signs, medicines being administered and other environmental factors is securely streamed over the Internet to Azure Event Hub.

Azure Stream Analytics pulls data out of Event Hub and observes that the patient’s temperature has exceeded a predetermined threshold of 100 degrees.

Azure Notification Hubs is called to facilitate the response to this event.

A push notification with the patient information is sent to the appropriate nurses station where an alert is displayed on the patient health telemetry screen resulting in an immediate visit to the patient.







Слайд 62INCREASING REVENUE…
There are scenarios in merchandising where this insight can be

invaluable.


Thing

Azure
Event Hub

Azure
Stream Analytics










Remote telemetry containing inventory, sales, alarms and other status events are securely sent to Azure Event Hub.

Azure Stream Analytics pulls data from Event Hub and determines that employees on the 3rd floor of the building love white powdered donuts and purchase them 3 times more often than any other snack in this particular vending machine.

You act on this granular merchandising information by tripling-up on the number of spirals selling white powdered donuts.

This vending machine now makes you more money because you’re catering to the needs of a very specific audience.

Thing

$$


Слайд 63INCREASING REVENUE…
This time we achieve more revenue with the power of

location and new
consumer experiences.


Thing

Azure
Event Hub

Azure
Stream Analytics

Azure
SQL Database




Remote telemetry containing inventory, sales, alarms and other status events is securely streamed over the Internet to Azure Event Hub.

Azure Stream Analytics pulls data out of Event Hub and inserts the product inventory, GPS location plus the building address and floor in Azure SQL Database.

A smartphone app provided by the vending machine owner combines location based services along with snack and drink preferences entered by the customer to find a nearby vending machine with the items the customer is searching for.

A match between inventory, customer preferences and location is made, resulting in a sale.




Thing

$$



GPS


Слайд 64Drilling
Ops
Azure
Event Hub
Azure
Stream Analytics
Azure
Notification Hubs
Repair Personnel



Remote drilling telemetry is

securely streamed over the Internet to Azure Event Hub via an onsite field gateway.

Azure Stream Analytics pulls data out of Event Hub and passes the current state of various drilling components to Azure Machine Learning

Azure Notification Hubs is called to facilitate the response to this event.

A push notification with information about the failing component is sent to appropriate repair personnel resulting in a repair that is cheaper than it would be if the component failed. It also means reduced or no loss up uptime.






Azure
Machine Learning


Machine Learning analyzes the incoming state of drilling components and models them against on-spec values and previously analyzed values to determine that one of them is going to fail.

PREDICTIVE MAINTENANCE…

Reduction in risk and working smarter with machine assisted prediction.


Слайд 65FINDING PARKING…
City services and other improvements can come from IoT innovation.
Street

Parking

Azure
Event Hub

Azure
SQL Database



A magnetic sensor embedded in the street sends remote telemetry containing the presence of a car and location to a field gateway mounted on a nearby street light which securely streams this data over the Internet to Azure Event Hub.

An event processor pulls data out of Event Hub and inserts it into Azure SQL Database while calling Azure Notification Hubs so it can respond to the update.

A push notification is sent to the smartphone, tablet, or in-dash Azure Mobile Services app which then syncs with Azure SQL Database to alert the nearby driver of the location of the open parking space.

Driver Looking for Parking

GPS




Azure
Notification Hubs





Слайд 66INCREASING REVENUE…
While examples are vending machines this applies for many other

situations.


Thing

The use of Bluetooth Low Energy beacons allows vending machines to notify customers that they contain the snack or drink item the person is looking for as they walk by.

A customer with a beacon-enabled smartphone with a beacon-aware app from the vending machine owner receives an advertisement from the beacon when walking near the vending machine.

The smartphone app makes an API call to query the Azure SQL Database with the unique beacon identifier and the customer’s preferences.



Bluetooth LE

Beacon

Remote telemetry containing inventory, sales, alarms, the unique beacon identifier and other status events is securely streamed over the Internet to Azure Event Hub, through Stream Analytics and inserted into Azure SQL Database.

Azure
SQL Database

If the vending machine has a snack or drink the customer wants, it makes a standard or discount offer via the app and a sale is made.


Thing



Bluetooth LE

Beacon

$$


Слайд 67FLEET MANAGEMENT…
Explore a scenario with a clear walkthrough on how fleet

management can be significantly improved in the transportation industry. Truck maker digital transformation.

http://www.microsoftazureiotsuite.com/demos/remotemonitoring


Слайд 68Start small and learn from the data, but definitely start ASAP.


HERE ARE SOME OF THE BIGGEST IOT RISKS…

Understand the business model
Old ways of thinking can be dangerous
Beware of new patterns: eventual consistency, etc.
Don’t focus on the device
Carefully consider security
Avoid analysis paralysis. It’s better to do and learn.


Слайд 69

Device
Connectivity & Management
Analytics &
Operationalized Insights
Presentation &
Business Connectivity
The next

step is to get inspired and go DO things.

HOPEFULLY THIS MAKES MORE SENSE NOW…


Слайд 70

Thank You!
Organizers, Sponsors and You for making this possible.
100+ Awesome Presentations

At.. Slideshare.Net/RHarbridge Windows On Devices.. WindowsOnDevices.com MSFT Vision for IoT.. Creating The Internet Of Your Things IoT Dev Center.. https://azure.microsoft.com/en-us/develop/iot/
Message Me On LinkedIn or Email Richard@2toLead.com

SPEAKER | AUTHOR | SUPER FRIENDLY


Twitter: @RHarbridge. More to come on our blog at http://2toLead.com.


Слайд 71ADDITIONAL RESOURCES?
Provided to help put everything in one

single slide deck. Just for you!

IoT Business Maturity Model
Architecture Slides
Customer Stories


Слайд 72
IoT Business Maturity Model 1. Operational efficiency
Rules and alerting to improve operational

efficiency

Monitor and track device state, location and health

Connect devices and monitor telemetry



Things








Слайд 73Operationalize insights to improve things and processes in real time
Discover patterns

in device data using predictive analytics

Analyze and visualize data from devices



Things





IoT Business Maturity Model 2. Business Intelligence


Слайд 74New partnership opportunities
Expand into new adjacent businesses
Combine IoT & other data

with advanced analytics to power new services and revenue streams



Things





IoT Business Maturity Model 3. Business Transformation


Слайд 75

Operational Technology (OT)
Information Technology (IT)

IT / OT Collaboration


Слайд 76






Enterprise


IT / OT Collaboration Enables IoT


Слайд 77IT and OT engineers will collaborate in making “cyberphysical” systems safe

and secure.

IT / OT Collaboration & Cyberphysical Security

Know how to make physical things safe and secure
Standards, Procedures, Training, Continuous Improvement
Physical access management
Hazard and Risk Analysis
Monitoring and Maintenance
Fail Safe and Safety Equipment

Know how to make digital things secure.
Secure Development Lifecycle
Secure Network Technologies
Threat & Vulnerability Mitigation
Monitoring and Alerting
Software/Firmware Auto-Updates
Privacy Models

IT Engineers

OT Engineers


Слайд 78Microsoft IoT
Comprehensive solutions from device to cloud



Слайд 79
Cloud Based IoT Solutions


Слайд 80Azure IoT Reference Architecture


Слайд 81

Event Hub Stores Streaming Data
Stream Analytics processes events as they arrive

in the EventHub

AML Model Web Service
BES endpoint

Power BI / D3 Dashboard

Data for
Real-time Processing

Aggregations

External Data

Azure Services

Azure SQL
Contains Historical Data

Real time data stats

Azure Data Factory Pipeline invokes AML Web Service


Real Time

Batch


Example Architecture - Push

Real Time Telemetry Data

Azure Data Factory Pipeline Moves Data

Batch updates of predictions


Слайд 82Data for
Real-time Processing
Real Time Energy Consumption Data (Public Source)
Event Hub

Stores Streaming Data

Stream Analytics processes events as they arrive in the EventHub

AML Model Web Service
BES endpoint

Power BI / D3 Dashboard

Data Stream
Job

Hourly Prediction
Updates

External Data

Azure Services

Copy to Azure SQL
for batch predictions

Scrape Data
5 mins

Azure WebJob
Runs jobs to scrape data from public source

Azure SQL
Contains Historical Energy Consumption Data

Real time data stats

Azure Data Factory Pipeline invokes AML Web Service


Real Time

Batch




Example Architecture - Pull


Слайд 83Accelerate time-to-value
Easy deployment of IoT applications for the most common

use cases
Remote monitoring, asset management, and predictive maintenance
Simplified & predictable billing
Plan and budget appropriately through a simple predictable business model
Scale to meet your needs without redesigning
Start with a proof of concept
Grow and extend to support millions of assets without redesigning

Microsoft Azure IoT Suite


Слайд 84Azure IoT services
Microsoft Azure IoT Suite
Accelerate your business transformation




Azure IoT Suite
Predictive

Maintenance

Remote Monitoring

Asset Management

And more…

Addresses
common scenarios:

Enables you to



Mine data

Take action

Connect assets


Слайд 85IoT Platform Convergence






v6.5
Windows Embedded Handheld
Windows Embedded
Windows on Devices
Windows Embedded Standard









v8.1

Converged
OS kernel
Converged
app

model

v7

Windows Embedded Compact








v2013

Porting Tools

v8

v7


Слайд 86CHALLENGE
Rockwell Automation is the world’s largest industrial automation and information firm

with 22,500 employees and customers in more than 80 countries. Rockwell Automation wanted to transform the way they do business in the oil and gas industry by bringing the data generated by even the most remote assets into the cloud and using advanced analytics to provide unprecedented business insights.

Improves access to production and supply chain data worldwide, reducing downtime costs by as much as $300,000 per day
Modernizes transaction data by replacing a paper-based system with immediate electronic records
Enables data insights that help customers orchestrate everything from deliveries to equipment maintenance

BENEFITS

SOLUTION

Rockwell Automation created a solution to monitor expensive capital assets and use that data to improve operational efficiency, drive better performance and enable innovation. Based on Microsoft Azure Internet of Things services, the solution collects, integrates, and organizes sensor data from remote equipment across global supply chains to support real-time insight, predictive analytics, and preventive maintenance.

ROCKWELL AUTOMATION

Fueling the oil and gas industry with IoT

“What we’re talking about is delivering a degree of collaboration and visibility unheard of in the oil and gas industry.”

Doug Weber Business Manager, Remote Application Monitoring


Слайд 87CHALLENGE
Operated by Stanford University for the United States Department of Energy,

the SLAC National Accelerator Laboratory is a 50-year-old, two-mile-long particle accelerator and research center. Over the years, six scientists have received Nobel prizes for work conducted there. To ensure continuous availability of this critical scientific resource and keep it running as smoothly as the day it was built, SLAC teams are collaborating to explore the Internet of Things (IoT).

Keeps science accelerating by collecting and analyzing potentially millions of data points in near-real time to predict potential failure
Helps technicians understand how disparate systems interoperate, so they can upgrade more strategically and avoid downtime
Continually increases precision by feeding information back into Azure Machine Learning on the root causes of detected anomalies

BENEFITS

SOLUTION

SLAC is collecting data from intelligent sensors and feeding it into the cloud where it can be analyzed for early detection of anomalies — allowing engineers to anticipate problems, take action and prevent failure. Working with Microsoft Open Technologies, SLAC used the open-source project ConnectTheDots.io to integrate the diverse array of sensor formats in one of its klystron cooling systems. Azure Event Hubs then packages and routes the data to Azure Machine Learning for near-real-time analysis.

SLAC National Accelerator Laboratory

Transforming subatomic research with IoT

“The advantage we gain is that the algorithms can look through everything at once and just return the things we actually need to focus on, so we can take action.

Marcus Keenan
Manager of Instrumentation and Controls for Facilities and Operations


Слайд 88CHALLENGE
The Monterey Regional Water Pollution Control Agency is one of the

nation’s largest water recycling facilities for crop irrigation—treating 20 million gallons daily. Monterey wanted to find out why their facility was experiencing unusually high energy usage but didn’t have the data necessary from their existing control systems. They wanted to avoid expanding their existing control system —taking many months and hundreds of thousands of dollars—opting to seek an IoT solution instead.

Provided $160K in deployment savings and was up and running within 30 days, needing only onsite electricians to install.
Created 140,000 data points daily, enabling analyses of inefficient processes to save energy costs.
Expansion of system with Azure Stream Analytics and Power BI to provide process scenario simulations using real data.

BENEFITS

SOLUTION

Candi Controls created a solution for MRWPCA that was running within 30 days and that cost less than $40K. Commercial-class IoT submeters were placed at 20 key plant processes to measure energy usage at 30 second intervals providing the granular, real-time data Monterey Water needed to optimize plant processes. The existing deployment is being enhanced with Azure Stream Analytics and Power BI to better manage and optimize energy usage in future.

CANDI CONTROLS

Using IoT to flush out inefficient processes for Monterey Water

“Using off-the-shelf sensors with the Candi IoT Platform gave Monterey Water the data they needed to realize significant energy savings & power demand reduction.”

Steve Raschke CEO, Candi Controls, Inc.


Слайд 89CHALLENGE
Fujitsu is the world’s fourth-largest IT services provider with approximately 162,000

employees in more than 100 countries and holds about 97,000 patents worldwide. Fujitsu wanted to help dairy farmers increase production, improve data insights and transform their business by optimizing the timing of artificial insemination (AI). It also wanted to decrease loss through early detection of health issues.

Improves calf production up to 31%, with an average of 12%
Modernizes data access with mobile phone alerts, reducing labor costs for monitoring cows
Transforms herd management by allowing farmers to increase chances of producing a male or female calf
Reduces loss by detecting 8-10 different kinds of diseases in cattle

BENEFITS

SOLUTION

Fujitsu learned from public research that a cow produces more estrus (goes into heat) 16 hours after the number of steps increases significantly. The company created an innovative solution which uses a rugged pedometer with a five-year battery to measure the number of footsteps a cow takes, then sends that data to the cloud for analysis to determine optimum AI timing and even affect calf gender. In addition, the patterns of steps can detect disease in cattle. Alerts are delivered to the farmer’s cell phone.

FUJITSU

The connected cow: Using IoT to transform cattle production


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Это сайт презентаций, докладов, проектов, шаблонов в формате PowerPoint. Мы помогаем школьникам, студентам, учителям, преподавателям хранить и обмениваться учебными материалами с другими пользователями.


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