+ All Categories
Home > Documents > IoT in der Praxis

IoT in der Praxis

Date post: 18-Dec-2021
Category:
Upload: others
View: 6 times
Download: 0 times
Share this document with a friend
26
© Hitachi Vantara Corporation 2018. All Rights Reserved © Hitachi Vantara Corporation 2018. All Rights Reserved IoT in der Praxis Solutions Engineer, EMEA Central Data Analytics & IoT [email protected] Harald Erb
Transcript

© Hitachi Vantara Corporation 2018. All Rights Reserved© Hitachi Vantara Corporation 2018. All Rights Reserved

IoT in der Praxis

Solutions Engineer, EMEA CentralData Analytics & IoT

[email protected]

Harald Erb

OT108Years

INDUSTRIAL

CITY

BUSINESS

CONSUMER

IT59

YearsAPPLICATIONS

ANALYTICS

INFRASTRUCTURE

BIG DATA

CLOUD

IoTis in our

DNA

Hitachi Vantara combines IT, OT

and Industry Expertise

HITACHI’s unique Expertise

Hitachi VantaraHitachi Data

SystemsPentaho

Hitachi

Insight

Group

Software

Data

Scientists

OT/IT

Expertise

Solutions

&

Services

IT Infrastructure

SolutionsIndustryExpertise

Partner Eco-System

ArtificialIntelligence

DataAnalytics

X as a Service

© Hitachi Vantara Corporation 2018. All Rights Reserved

Hitachi IoT Solution Portfolio

Data

Operations

Data

Analytics

Data

StreamingData

IntegrationReplication and

SynchronizationData Pipeline

Optimization

Reporting

& VisualizationMachine Learning

Orchestration

Embedded

Analytics

Video Data

Management

Stream

Processing

Edge

Digital

Twin ModelingData Caching

and Analytics

Device

Management

Common IoT-

Platform Services

Insight

Solutions

Co-creation

Services

Industry Solutions(Hitachi BUs, ISVs, SIs)

Edge-to-Cloud

Infrastructure

… more to come …

Edge Controllers/Appliances Converged & Hyper-Converged Block, File- and Object Storage

Outcome Workshops Solution Architecture Data Science Proof of Value

Discrete Process Trans Telco Mining FinServ …etc…

Maintenance

Insights

Manufacturing

Insights

Video

Insights

© Hitachi Vantara Corporation 2018. All Rights Reserved

Usage based Insurance Solutions

Example: Connected Car Platform

• More Data

• New Insights

• New and/or improved Products & Services_

Pitctu

re:

ww

w.p

ym

nts

.com

© Hitachi Vantara Corporation 2018. All Rights Reserved

Traffic laws can have short-term improvements on

accidents reduction

‒ Long-term improvements require behavior change

Telematics can help drivers reduce their risk of accidents

significantly by

‒ Identifying risky driving behaviors

‒ Providing feedback on how to improve driving behavior

Positive reinforcement through continous feedback &

coaching coupled with incentives & rewards improve driving

behavior and dramatically reduce accidents

Change Driver Behavior with Direct Engagement

Driver Scoring

© Hitachi Vantara Corporation 2018. All Rights Reserved

More Data – New Insights

Driving Statistics Distracted Driving

© Hitachi Vantara Corporation 2018. All Rights Reserved

DriveSync Connected Car Platform

Challenges

• Ability to handle large amounts of data (1.6B data points/day)

• Perform predictive behavior patterns from disparate data sources

• Support reporting needs from creating custom dashboards to generating detailed reports on the fly

Solutions

• Seamless integration and connectivity to all IMS data sources

• Embedded business analytics for fast time to market

• Enterprise class platform that provides data-driven insight and predictive analytics

Benefits

• Help insurance carriers retain current and attain new customers

• Reduce the number of claims through driver behavior monitoring

© Hitachi, Ltd. 2018. All rights reserved.

Fleet Optimization

Example: Fleet Management Solution

• Combine Sensor Data with Contextual Information

• Overcome scarce availability of capable technicians

• Lower costs, reduced customer downtimes_

© Hitachi Vantara Corporation 2018. All Rights Reserved

Web-Based Fleet Management Platform

24

46

152

© Hitachi Vantara Corporation 2018. All Rights Reserved

Business Objectives

Issues: Trucks have become more and more technology based, availability of capable

technicians is scarce, and managing large number of maintenance centers is expensive.

Business Objectives: Better Fleet Management - lowering costs, improving efficiency

of maintenance to reduce customer downtime

Strategic Goals: Need to take competitive advantage of truck data. 40-50,000 trucks

purchased per year – more data than any truck OEM. Gain a competitive edge through

lowered costs & predictive technology (automation in repairs & diagnostics).

© Hitachi Vantara Corporation 2018. All Rights Reserved

Benefits of Predictive Maintenance

Return on Capital

Return on Net Assets

Profit

Throughput

Availability QualityProductivity

Service

On Time In Full Delivery

Net Assets

Projects

Capital Expenditure

Cost

Fixed Costs Variable Costs

Operating Expenditure

An Effective Predictive Maintenance Program not only impacts OPEX and CAPEX,

but SAFETY and CUSTOMER SATISFACTION also

© Hitachi Vantara Corporation 2018. All Rights Reserved

Vehicle Sensor Data

Store models and sensor data

Asset ModelSensor DataUtility Vehicle Asset

Air Pressure

Axle Vibration

Lights

Load Weight

Movement

Temperature

Sensor Data

Journey

StreamBlend

Infer

Sense

Inspect

Embed & Integrate

Store

© Hitachi Vantara Corporation 2018. All Rights Reserved

Adding Context to Sensor Data

Vehicle Location

•GPS

• Lat / Long

•Mapping

•Movement

Vehicle Profile

•Make

•Model

•Mileage

Operational Systems

•Maintenance History

•Maintenance Schedule

•Service Centers

•Parts Ordering

•Parts Inventory

Sensor Data Contextual Data

Business Outcomes

• Real-Time Fleet Status and Health

• Repair Recommendations

• Optimized Maintenance Scheduling

• Automated Parts Ordering

IoT Data Refinery

Sensor Data

Journey

StreamBlend

Infer

Sense

Inspect

Embed & Integrate

Store

© Hitachi Vantara Corporation 2018. All Rights Reserved

Visualize & Analyze Results

Fleet overview

Vehicle Status & Health

Production Reporting (PDF example)

© Hitachi Vantara Corporation 2018. All Rights Reserved

Train as a Service

Example: Smart Trains

• Batch and (Near) Real-time Data Processing Architecture

• Failure/Performance Analysis and Prediction

• New Business Model: Train as a Service_

© Hitachi Vantara Corporation 2018. All Rights Reserved

Hitachi Rail History

© Hitachi Vantara Corporation 2018. All Rights Reserved

Smarter Trains are more predictable…

Rail Predictive Maintenance tools help to:

Avoid unplanned downtime by avoiding unexpected failure of the equipment

Reduce parts replacement by avoiding unnecessary part replacements

Reduce repair cost (including labour) with effective root cause analysis

Reduce costs with better planning of supply chain

Reduce labour costs with optimization

© Hitachi Vantara Corporation 2018. All Rights Reserved© Hitachi, Rail Europe Ltd. 2017. All rights reserved.

Example: Doors – System description

Door Open

Door Shut Status Door Open Status

Door Open Button

Lock operation

Opening operation

© Hitachi Vantara Corporation 2018. All Rights Reserved© Hitachi, Rail Europe Ltd. 2017. All rights reserved.

Example: Doors – What do we do with this information?

24

Cause: Obstacle stuck in door

Requires rapid intervention

Persistent proportional rise in Cycle Time

may be indicator of degradation and incipient fault

© Hitachi Vantara Corporation 2018. All Rights Reserved

Predictive Maintenance

Challenges

• Managing petabytes of data (3.6 million data points per second)

• Inability to perform complex analysis -both in real-time and in batch

• Presenting custom visualisations in a scalable and multi-tenanted fashion

Solutions

• End-to-end Big Data platform

• Scale to data growth

• Predict operational events

Benefits

• Long term benefits will be £20m+ savings in maintenance costs

• More reliable and cost-effective transportation system for United Kingdom

• Better service delivery

© Hitachi Vantara Corporation 2018. All Rights Reserved

Solution Overview

Asset Control & Maintenance

Big Data & Analytics

System & Sensor Integration

Data Management & Transmission

Data CommunicationsMachine Sensors Data

Collection

Hitachi IEP Train Data PlatformAsset Control &

Maintenance

Business Intelligence

Predictive Analytics

Asset Management

Asset Control

Data Warehouse

Maintenance

Schedule

Asset Management & Maintenance

Reporting Dashboards & Analytics

Predictive maintenance

& Service scheduling

Operational Insight

Management Reporting

Asset Control Decisions

Business Transformation | Change Management | Programme Management

MessagingStore and forward

Telemetric & ambient data

Operational & Audit Data

Train Performance Data

Real time alert messages

Operational Status

Alerting

Sensors

Sensors

Sensors

Sensors

© Hitachi Vantara Corporation 2018. All Rights Reserved

IoT and Analytics Architecture

Takeaway

Guten Appetit!

Gerne stehen wir Ihnen noch

Für Fragen in der Mittagspause

Zur Verfügung

www.it-novum.com/vvb

Laden Sie hier exklusiv unsere Vorträge runter und erhalten Sie außerdem das

Whitepaper Data Science-Projekte produktiv nehmen. Das 5-Phasen-Konzept.

Contact

Harald Erb

Hitachi Vantara

Solutions Engineer, EMEA Central Data Analytics & IoT

m: +49 (0)177 5944403

e: [email protected]

Andreas Kuhn

it-novum

Sales Manager Big Data Analytics

t: +49 (0)661 103-363

e: [email protected]


Recommended