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Wireless Asset Health Monitoring Made Easy

t ] o , o Z D } v ] } ] v P D Ç · 2019-11-13 · ~& /^D v ô ò ôD Z Ì } õ í ñD Z Ì v ( µ v Ç t } µ v Ç v v ... Microsoft PowerPoint - 191025 iQunet presentation v13.pptx

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Page 1: t ] o , o Z D } v ] } ] v P D Ç · 2019-11-13 · ~& /^D v ô ò ôD Z Ì } õ í ñD Z Ì v ( µ v Ç t } µ v Ç v v ... Microsoft PowerPoint - 191025 iQunet presentation v13.pptx

Wireless Asset Health Monitoring

Made Easy

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Company

mgt.team

iQunet = Tech start-up (Belgium, °2015)

iQunet Vision : “Wireless Asset Health Monitoring Made Easy”

Founders iQunet• CEO, Dirk Van den Branden, Ing, MBA• CTO, Wim Vereecken, Dr. Ir.

Vast knowledge of• Electronic (chip) design• RF-technology• Product development

100% in house R&D and production with focus on• Innovative• battery operated• wireless• small sensors • for industrial applications

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Wireless Online Vibration Monitoring

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Product Overview 2019 (details see online shop)

Basic Network Components

OptionalNetwork components

Sensors

iQunet server

Base station

Repeater

Actuator

Vibration + temp. (acceleration)

Inclination + temp. (accelaration)

Proximity + temp. (hall effect)

Proximity switch + temp. (reed)

CO2 + VOC + RH + T° (not available yet)

PIR motion + temp. (not available yet)

Temperature logger (temperature)

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Why Condition Based Maintenance (CBM)?

Start Vibration Analysis & Fault Detection

IncreasePlant Asset Availability

89% of failures are random in nature !

Potential Failure Functional Failure

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A complete system of - Wireless Sensors- Base station - Small Din Rail Server

… that measures vibration of rotating equipment

… and makes the data available from anywhere via standardized OPC UA communication

… stores the data on the local iQunet Unix Server

Vibration Monitoring (predictive)APIs

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Web-dashboard

From any browser(*)

(*) WebRTC ready browser e.g. Chrome

With 2-way communication• Configure sensors• Analyse data

With easy access to sensors• Via Internet• Via company network

Full control from any device

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Communication

Vibration data locally stored on iQunet server is open (no lock-in)

OPC UA ensures seamless flow of information

Sensor Network

OPC UAServer

iQunet offering

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Technology

Sensor sleep current is extremely low (<1µA)• Touching the batteries reduces the battery life

time with approx. 50% due to induced leakage current being higher than sensor consumption

Wireless transmission is ultra fast with low consumption• Lean but effective wireless iQunet protocol

increases payload/overhead ratio

Digitalisation of the sensor makes it very low power• Inside accelerometer made of MEMS Integrated

Circuits makes it possible to run the electronics on 2 standard CR2032 coin cells

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Features

Range of the sensors• 10-50m depending on (*)

• sensor mounting• Machine density in the plant• Construction of the plant

• Can be extended 1x with Repeater node(s) (**)

Number of sensors in the range• Unlimited

Life time of the batteries in the wireless sensors• ±5 years (@1 complete 3-ax measurement/day + 100 x T°/day)

(*) Note1: 50m in ideal setting / 15 to 25m in average in industrial settings(**) Note2: with inherent reduced data bandwidth (slower wireless transfer rates)

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• Advantages MEMS wireless battery operated sensors• Semi-continuous measurement – largely available (trend) data• Compressive sensing techniques

• Full spectrum (not only RMS)• Characteristic harmonic detection• Operating point clustering

• Lower TCO, smaller physical footprint, cheaper • Largely available cheap measurement points

• Faster installation• Low power / on batteries / no cables

• Disadvantages MEMS wireless battery operated sensors • Trade off between power, accuracy and number of datapoints• Less accurate (but many datapoints = Machine Learning ready)

--> available for many assets !

• Advantages Piezo-electric sensors• Larger measuring range, more

information in one measure• Proven analytical technique (experts)

• Disadvantage Piezo-electric sensor• Labour-intensive• Snapshot (portable equipment)• Very expensive online wired/wireless

equipment -->used with highly critical assets

“MEMS”-vibration monitoringThe classic way

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• With the same available power less accurate , but more datapoints

• Interesting mechanical features of MEMS: Less sensitive ( up to 10.000g) 3-axial

• Small: combination with other features (T°, Wireless, Memory, …)

• Inexpensive electronics part: use of more MEMS sensors in one device

• Inexpensive computing power correlation via Machine learning possible

“MEMS”-vibration monitoring

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Anomaly Monitoring Service

Firewall (customer)

ML

DATA

*

MO

DEL

*

iQunet Machine Learning Computer

Local sensor network at SubGHz frquency(Free ISM band at 868Mhz or 915Mhz center frequency – country dependent)

Ethernet network or WiFi network at 2,4GHz or 5GHz free frequency

(*) One time data transfer of historical data setML Model transferred and stored back in iQunet local server for continuous local Anomaly Monitoring(subscription based)

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Anomaly Monitor: iQunet Machine Learning Service

All in same dashboard

Automated data compression and transfer toiQunet Machine Learning Servers

Model returned and storedon the local iQunet server

Anomaly trend graphs(MSE) with alarm levels

MSE: Mean Squared Error. Indicates thedifference from new samples (measurements) compared to the model

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Contact :Dirk Van den BrandenCEO / co-owner+32 478 44 66 [email protected] Winner BEMAS Digital Innovation Award 2017

Comparison (performed by Siemens) between

High-end piezo-electric sensor and

iQunet wireless sensor

VS.

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Case Bio Mass Centralplease note differences in graph scales

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• iQunet sensor detects also the bearing errors (all “frequency peaks” related to bearing errors are available – yet with less resolution)

• iQunet resolution in lower frequencies could be increased by sampling at lower rates with high number of samples (setting in dashboard)

• The iQunet sensor is a perfect low cost fit for anomaly detection with machine learning techniques

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Mount sensor withM3 bolt and

wire bus

Use Epoxy for

permanent mount

Keep antenna top free from obstacles

(8 cm around)

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Setup & Installation

Contact :Dirk Van den BrandenCEO / co-owner+32 478 44 66 [email protected] Winner BEMAS Digital Innovation Award 2017

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Sensor mounting: “plug&play”

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Sensor mounting instructions

Equipment base (e.g. rotating equipment)

Drill Ø4mm and insert M3 wire bus

Hex Socket Cap Stainless Steel Plain Socket Screw, M3 x 16mm

Use epoxy adhesive for permanent mount (*)

Antenna top must be free from metal obstructions for best range (8 cm around the top in ALL directions)

(*) see install guide or online shop for recommended epoxy type

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Mounting instructions

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Mounting instructions

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Mounting instructions

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Mounting instructions

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Contact :Dirk Van den BrandenCEO / co-owner+32 478 44 66 [email protected] Winner BEMAS Digital Innovation Award 2017

CASES

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Case Paper Mill – M&M Germany

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Karton Machine – Selection PoC

Length approx. 130 meter

Hig

h ap

prox

. 13

met

er

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Case Paper Mill – M&M Germany

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Case Paper Mill – M&M Germany

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Case Bio Mass Central

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Live demo: Case Bio Mass Central

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Case Hot Mill (Arcelor Mittal Gent)

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Live Demo – Hot Mill plant

Run out table hot mill – cooled down with water

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Live Demo – Hot Mill plant

Sensors Drive Side

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Live Demo – Hot Mill plant

Sensors Operator side

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Contact :Dirk Van den BrandenCEO / co-owner+32 478 44 66 [email protected] Winner BEMAS Digital Innovation Award 2017

CASES

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iQunet wireless battery-powered vibration sensors detect pump damage. With automatic measurements every hour, the increasing deviation compared to a recent pump was detected and followed up. Due to the iQunet sensors it was possible to replace the bad pump within planned downtime.

Use Case:Monitoring end of life of motor-pump combination

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Contact :Dirk Van den BrandenCEO / co-owner+32 478 44 66 [email protected] Winner BEMAS Digital Innovation Award 2017

Conclusion

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Secured iQunet server and save wireless communciation API with 200+ commands for maximum integration Clear pricing of the products, plug&play setup Excellent technical iQunet support Performant standardized OPC UA communication Many available ways to export or address data Partnering with Siemens Easy to expand system Products according to CE standards Computing in the edge solution minimilizes network usage Data remains local, no iQunet lock-in

Conclusion : IIoT in predictive maintenance and asset monitoring with MEMS sensors

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Asset Health Monitoring Made Easy

Contact :Dirk Van den BrandenCEO / co-owner+32 478 44 66 [email protected] Winner BEMAS Digital Innovation Award 2017

www.iQunet.com

Please contact us for a live demo (via online meeting)