ipar 4.0 megoldÁsportfÓliÓ - t-systems · functions • authorization management • automatic...

INDUSTRY 4.0SOLUTIONS

TRENDS IN INDUSTRIAL DIGITALIZATION:

• Automation• Artificial Intelligence• Machine Learning• IoT• Data Collection

TIME TO HIT THE NEXT LEVEL!

• Analyze data so that it can impact our physical reality!

• Increased productivity can save multiple of the initial investment!

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01RTLS – REAL TIME LOCATION SYSTEMUSINGUWB (ULTRA WIDE BAND) TECHNOLOGY

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RTLS – REAL TIME LOCATION SYSTEM

BUSINESS NEEDS

BETTER FORKLIFT UTILIZATION, FLEET OPTIMIZATION

• Accurate data regarding the runtime and utilization of forklifts.

• Fleet optimization – analysis of idle runs, overloading and underloading

• Predictive maintenance– with accurate logging of operating hours

• Information on operating conditions: (speed, battery capacity, fork load etc.)

BETTER UTILIZATION OF WAREHOUSE CAPACITY, TRACEABILITY OF PALLETS

• Accurate information regarding the pallet– what is it loaded with, how long is it in use?

• Alert, when a pallet stays in an area for too long

• Pallet – load alignment solution

• Increasing the rotation of pallets

• Reducing search times for greater efficiency

Forklifts / VehiclesPeople PackagesHandcarts

TESTED IN A FACILITY OVER 1000M2

• Vehicle utilization

• Vehicle diagnostics

• Route history

• Movement and position of assets

• Virtual zones

• Handling of alarms

RTLS – REAL TIME LOCATION SYSTEM

WE CAN TRACK

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02EHS SOLUTONSENVIRONMENTAL HEALTH AND SAFETY – FOR SMART WATCHES

EHS FACILITY – ENVIRONMENT, SAFETY, ACCIDENT PREVENTION

• Integrating people with changed working ability

• Alternative possibility to alert employees in case of fire or other emergency

• Sending alerts, then receiving confirming feedback

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CANARY – EHS SMARTWATCH SOLUTION

BUSINESS NEEDS

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HOW CANARY WORKS

ALARM MODE

• The app continuously vibrates the watch, alerting the user of thedanger

• In alarm mode, the type of dangeralways gets to the front screen

• On the interface the ‚Confirm’ button becomes visible

• When the user presses this button,the app sends a confirmatione-mail to the alarm centre.

MONITORING MODE

• The default mode for the app is ‚monitoring mode’

• Monitoring mode starts immediately when the watch is switchedon, no user interaction needed.

• The app constantly scans for incoming text messages.

• When it receives text from a predetermined number, it automatically sets of alarm mode


EHS CANARY DASHBOARD

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• Web based dashboard interface

• Alignment of smart watches – phone numbers– users

• Monitoring users’ heartrate.

• Global notifications via text messages

• Monitoring of confirmations

• Readiness status of the watches is visible from the dashboard

03SOLUTIONS FOR FORKLIFTS

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FORKLIFT DETECTION

BUSINESS NEEDS

EHS FACILITY – ENVIRONMENT, SAFETY, ACCIDENT PREVENTION

• Preventing accidents in warehouses and industrial facilities, where forklifts and pedestrianswork at the same time

• Establishing a reliable way of alerting both the driver and the pedestrian

1. RTLS anchor and UWB tag detect the forklift

2. Tag – Smart watch communicates via BLE connection

3. Sending the alert– Vibrating the smart watch(with different strenghts)

4. Confirmation

FORKLIFT DETECTION

ALERTING PROCESS

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AGV - AUTOMATED GUIDED VEHICLE

AUTOMATED MATERIAL HANDLING AGVS

ADVANTAGES

• Operation report: mapping paths, measurable timeframe from request to execution

• The AGV detects obstacles, uses the shortest route, minimizingidle runs and unnecessary bypasses

• Change in approach and HR: requesting materials with the pushof a button instead of ERP, task orientation, simplification, easier training of new employees (no ERP access is needed)

• Own employee in warehouse --> Responsibility and prioritymanagement in one hand

• Modular expansion possibility taking into consideration theexperiences (Not making too big a step….)

• Reducing idle runs

• Optimizing service

• Predictive maintenance + supporting operation offline / on-site

FUNCTIONS

• Authorization management• Automatic speed control, total blocking• Multiple ways of communication• Automatic goods identification

• Runtime recording• Crash detection• Collecting data from sensors• Data reading from CAN-bus(optional)

ADVANTAGES

• Predictive maintenance• Fleet optimization• Lease reduction• Fewer accidents

• Efficiency increase• Sending messages, instructions to the driver• Manufacturer independent• Real-time data about operating conditions

IMPROVEMENT OPPORTUNITIES

• Forklift calling button• Integration to existing platforms

(ERP, MES) -> automated forklift calling• RTLS integration, end-to-end forklift management

• Business reports: proposals for optimization, idle runs, underloading and overloading

SMART FORKLIFT SOLUTIONS

SMARTFORKLIFT – CONTROLLED FORKLIFT USAGE

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04PRODUCTION MONITORING SOLUTIONSWITH DOWNTIME ALERT SYSTEM

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PRODUCTION MONITORING

BUSINESS NEEDS

• Monitoring of machines is ad hoc, imperfect• Development of a system that monitors machines 24/7,

and collects the data• There was need to analyze the data so collected and display

them in easy-to-understand form• Analyzing downtime• A well-functioning production monitoring system is the basis of

industry 4.0 transformation

Production Monitoring

PRODUCTION MONITORING– OEE

SOLUTION

• Monitoring production machine workflows• Error reporting tablet – real-time data input• Collecting and displaying production parameters• System components

• OEE - display• Data Collection with sensors• PLC reading

ADVANTAGES

• Fast ROI

• Reduction of maintenance cost

• Less administration

• Optimizing shifts

• Data security – on-time, real-time

• Higher OEE

• Predictive maintenance opportunities

• Analyzing downtimes

• Flatter ramp-up curve

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• Efficient classification of errors occurring during production• Management and communication of trouble tickets • Monitoring and analyzing trouble tickets

WHAT?

• Where continuity of production / material flow is critical• Where an outage / shutdown is critical / expensive• Where fast response is necessaryHOL?

• Manufacturing / production / logistics• Quality Controls• Operations

WHO?

PODUCTION MONITORING

DOWNTIME ALERT SYSTEM - DAS

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WHERE?

05MACHINE VISION

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DRONIFY

BUSINESS NEEDS

• Finding a solution that fits into the portfolio

• Using the opportunities presented by drone technology

• Significant labor and investment cost decrease at repetitive and hazardous jobs

• Efficiency increase in warehousing

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WHAT IS MACHINE VISION?

DRONIFY

AUTONOMOUS DRONE WAREHOUSE LOGISTICS

Machine vision is capable of identifying smallmovements, categorizing objects, recognizing barcodes and even faces

Combining machine learning and machinevision, long, repetitive, labour-intensiveprocesses can be executed faster and moreefficiently.

Machine vision is a technology, enablingmachines to see, observe, identify or evaluatean object in motion, or still.

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Automated Inventory Control with autonomous drones

• Machine vision

• Machine learning

The data acquired by the intelligent camera can easily be integrated to existing ERP systems.

Use cases

• Warehouses – inventory control

• Manufacturing Units – monitoring material movements

A Solution under development!

DRONIFY

AUTONOMOUS DRONE WAREHOSE LOGISTICS

06OPPORTUNITIES WITH SENSOR TECHNOLOGY

• Increased efficiency on industrial sites

• Opportunity to make decisions real-time

• Optimizing machine utilization

• Creating opportunities for predictive maintenance

• Optimizing resource utilization

SENSOR TECHNOLOGY

BUSINESS NEEDS

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• Always starting from the direction of parameters to be measured, the goal of the measurements

• Wired/ wireless, size, build, accuracy, calibrating, edge/fog/cloud-computing, local gateway, LPWA

• According to contemporary trends, but also bearing in mind industrial standards and recommendations, we can integrate our sensors to already running systems, and data coming from PLCs, machines and sensors

• We can give real time display of alerts and measured data. (And we can also provide a solution that shows deeper connections suitable for making executive summaries. E.g. PI)

SENSOR TECHNOLOGY

HOW WE CHOOSE SENSORS

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• Huge, growing selection

• Always measuring power levels at wireless sensors

• Temperature, humidity, brightness (visible, UV), airpressure, pressure, voltage, current, impulse counting, performance, acceleration, position, shock pulse,

vibration, vehicle movement, parking spot availability, seat availability, air movement, dust particles, voltage highs and outages, CO2, CO, VOC, gases, man down

detection

• Virtual sensors

SENSOR TECHNOLOGY

MEASURED PARAMETERS

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SENSOR TECHNOLOGY

MASURED ATTRIBUTES: VIBRATION DIAGNOSTICS

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ROTATING MACHINES, bEARINGSMeasuring vibration, shock pulse continously or at random, while analyzing theusage parameters and types of the measured partsABRAsiON OF BEARINGS, WEAR OF SURFACES

EXTREME LONG TERM MAINTENANCE PREDICTIONS(„Three years’ pre-warning time for low-RPM drying drum”)

Production quality control

• Vibration of cutting machines

• Tool usage

• Cavitation

SENSOR TECHNOLOGY

APPLICATONS

Measuring environmental parameters

• During production

• In the warehouse (warehouse diagnostics) 3D maps of large warehouses Efficiency of heating/ cooling

• During transit

• At distributors (wholesale, monitoring pharmaceutical coolers)

ASSET Tracking

• Vehicle

• Pallet

• Critical goods

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CONTINOUS MEASURMENT OF MANUFACTURING MACHINES

• Vibration diagnostics (vibration, shock pulse)

• Manufacturing cycle

• Load

• Energy consumption

DATA PROCESSING

• Edge/fog/cloud computing

• ML, Big data

RESULTS

• Avoiding unplanned downtime

• Long term predictive maintenance(„Three years’ pre-warning time for low-RPM drying drum”)

• Fewer spare parts are needed

SENSOR TECHNOLOGY

APPLICATIONS: PREDICTIVE/PRESCRIPTIVE MAINTENANCE

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MEASURING CONSUMPTION

• Main meters

• Sub-meters (individual consumer, groups)

MEASURING ENVIRONMENTAL PARAMETERS

• Indoors / Outdoors

• Heat maps of warehouses

• Effectiveness of heating / cooling

MEASURING ENERGY PRODUCTION

CONTRACTUAL BOUNDRIES

• Quotas and consumption schedules

DECISION SUPPORT

• Produce or purchase?

• Where and when to purchase?

SENSOR TECHNOLOGY

APPLICATIONS: ENERGY MANAGEMENT

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074G AND 5G CAMPUS OPPORTUNITIES,SMART FACTORY

4G ÉS 5G CAMPUS OPPORTUNITIES, SMART FACTORY

MobilE EVOLUTION

1980’s 1990’s 2000’s

2020 ’s

2010’s IoT

The next step of the evolution induces numerous business needs, we designed our portfolio with that in mind.

1G

Analog

Bandwidth:

2,4 kbps

2G

GSM, GPRS

Bandwidth :

9,6-384 kbps

Latency~180 ms

3G

UMPS,HSPA

Bandwidth :

2 Mbps

Latency : ~50 ms

4G

LTE, LTA-A,

Bandwidth :

150-400 Mbps

Latency : ~20 ms

5G

Bandwidth : 1-20 Gbps

UE/cell:1 M nodes/km2

Latency : <1ms

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CAMPUS SOLUTIONS WITH PUBLIC AND PRIVATE LAYERS

DEDICATED, PRIVATE COVERAGE

PUBLIC COVERAGE

LOCALLY AMPLIFIED COVERAGE

NETWORKSLICING

EDGECOMPUTING

INTEGRATED POSITIONING

WIRELESSCONNECTION


SMART FACTORY OF THE FUTURE

NEEDS OF INDUSTRIAL PLAYERS, FOR INTEGRATED PRODUCTION

AND SMART FACTORIES

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Wireless sensors Modular production machines Motion control AGVs

Mobile interfaces Augmented reality Remote control Predictive maintenance


SMART FACTORY EXMPLES

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08VIRTUAL TRAINER

VIRTUAL AND AUGMENTED REALITY (VR/AR) IN INDUSTRY

VIRTUAL TRAINER

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Maintenance

Logistics Quality

Assembly

Maintenance

Logistics Quality

Assembly

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VIRTUAL TRAINER

• Improving the decisions and abilities of operators

• Faster, better reaction in case of an error

• Increasing OEE

• Standardizing knowledge

• Avoiding risk of damage

• Reducing costs, time and energy


VIRTUAL TRAINER

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09VANDA DIGITAL ASSISTANT

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VANDA DIGITAL ASSISTANT

WHO IS VANDA?

Vanda is a digital business assistant, who is capable of handling both phone basedand chat based dialogues with clients, to solve business problems.

With Vanda, you can automate different business scenarios using spoken orwritten dialogues.

• Determining the intention of the client, in order to redirect them to the proper groupof administrators

• Answering the client’s question based on static data sources.

• Conducting dialogue to dynamically collect data, and starting business transactionsbased on them.

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ADVANTAGES OF VANDA

• Understands and speaks 86 languages and dialects

• The service is customizable, and can be integrated with complex workflows and backend systems

• Able to adapt to unique characteristics of the client (customization)

• With a single platform and language configuration, Vanda can be used on both voice and chat

channels

• Usable on different platforms: phone, webchat, Skype, Facebook Messenger, Viber

• Able to biometrically identify people

• Provides detailed reports to fine-tune dialogues and to measure business results

• The service is available both on site and from cloud

Intent

Forwarding


HOW DOES VANDA LEARN?

Testing

Subject

Action

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Collecting sentences

Subsrcibing Categorizing Teaching

Client calls or texts

Subscribing Categorizing Reteaching

10OUR REFERENCES

REFERENCES

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CONTACT: [email protected]

THANK YOU FOR YOUR ATTENTION!

ipar 4.0 megoldÁsportfÓliÓ - t-systems · functions • authorization management • automatic...

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