Keep the machines up and running 24/7 · 2019-11-12 · Based on data such as bathroom usage log, weather information, work day calendar etc., the number of usage of bathroom for

www.eh.co.th | [email protected] | 11Nov2019 1

Keep the machines up and running 24/7

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www.eh.co.th | [email protected] | 11Nov2019

00 / Introduction_Naoki Shibata Naoki Shibata is known as a transformable person.

1.0 - Language skills such as Chinese, English (later Thai, and Programming Languages like Python, PHP, JavaScript).

2.0 - Engineering field as a Product Quality Engineer and Sales Engineer in the Automotive industry.

3.0 - Sales field as a Marketing Manager and Sales Branch Manager.

4.0 - Optimization Solutions by embracing IoT, AI, Cloud, Automation, Visualization, RPA Technologies.

His favourites are edX, Kaggle, Raspberry Pi, European Soccer, Islamic Art and Home Gardening.

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01 / Company Introduction_latest news

https://news.microsoft.com/th-th/2019/06/11/fti-ceo-envisioningday_en/

Talk @ event

‘CEO Envisioning’

in May,2019

Newsletter:

https://news.microsoft.com/th-th/2019/06/11/fti-ceo-envisioningday_en/

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First mover in emerging countries

Born in Tokyo, Brought up in the world

One of the largest turned parts manufacturer in Southeast Asia

01 / Company Profile_Keywords of our growth

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1907Founded

4Countries

1600Employees

6Branches

14Countries for sale

900Lathing machines

150Happy Customers

35Million pcs/month

73Million USD annual

01 / Company Introduction_E&H at a Glance

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01 / Company Introduction_Products

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02 / Target

Cost reduction

> Increase productivity by reducing machine downtime.

>> Keep the machines up and running 24/7


02 / e.g. Factory in Thailand


02/ e.g. Factory in Thailand, 270 signal lights

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02 / Background_Lots of manufacturing machines

running properly?

Are 900 machines

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03 / Today’s agenda

Phase 1 _Start small_ / Learning process-Bathroom availability prediction

Phase 3 Future prediction - Predictive maintenance

Phase 2 Real-time machine monitoring

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Phase 1:_Start small_

Bathroom availability prediction

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P1 / Core Structure

Data Logic Report

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P1 / Core Structure

Sensor +

PC

Cloud Phone/PC

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P1 / Core Structure

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Wired

Wireless

Bathroom

Cloud

PCSmartphone

/tablet

Ultra-compact PC

SensorWifi

Wifi

3G/4G

P1 / StructureInput >> >> Output

Factory

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The infrared sensor detects “unlocking / locking” of the rotary lock of

the bathroom doors, and the data is transferred to the cloud via Wifi.

P1 / Structure_in detail

< Unlocked> <Locked>InfraredSensor

Rotary Lock

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01 /

Current usage Green = AvailableRed = Occupied

Today's forecast of usageExample: July 20, 2018

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Based on data such as bathroom usage log, weather information, work day calendar etc., the number of usage of bathroom for every hour from 7am to 7pm (shown below as h07 to h18) is automatically predicted every morning.

P1 / Visualization of prediction

Nu

mb

er o

f u

sage

tim

es

Time range in hour

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Phase2:IoT Real-time machine monitoring

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Wired

Wireless

Manufacturing machines * 800

Cloud

PCSmartphone

/Tablet

Pocket-sized PC

Sensor WifiWifi

3G/4G

P2 / StructureInput >> >> Output

Factory

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P2 / Structure_in detail

Manufacturing machine

Light Sensor

Current Sensor

Signal light

Pocket-sized PC

Wifi

Light sensor detects status of signal light.

Current sensor detects signal at the completion of every single product.

Pocket-sized PC sends the data acquired from the sensors to cloud via Wifi.

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1/ Web_Table

automotive

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1/ Web_Map

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1/ Web_Dashboard

automotive

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P2 / Visualization_Smartphone

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P2 / Real-time email notification

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P2 / What can be improved

Manual data input Automatic data input

Inaccurate data Accurate data

Late report Real-time visualization

Sudden stoppage Predict in advance

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Item Contents

1 No need to modify equipment Considering equipment guarantee and post-maintainability, we made the sensors externally attachable.

2 Anyone can install in minutes Simplified the mechanism of the sensor so that you can start operation in a short time. It can be ready in as little as 5 minutes per one device.

3 Can be used for any equipment Adopted the general purpose sensors so that it is also available for non-CNC machines.

4 No special network equipment necessary

Wifi was selected for network communication to restrain the initial cost, and it enabled other devices such as smartphones, tablets to connect.


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Item Contents

5 E-mail notification Alert notification function by e-mail. e.g. E-mail will alert you when the signal light turns red.

6 Anytime, Anywhere by Any device Saved all the data in the cloud, so that you can access from any internet network by smartphone, tablet.

7 No development & management costs for dedicated software

Since it can be viewed with Web browsers, neither the necessity of installing nor updating dedicated software.

8 Minimized initial cost By using the cloud instead of the on-premise server, it became unnecessary to purchase a server and just pay what you use monthly.

9 No hustle on server management Since data is stored in the cloud, No server maintenance or upgrade are necessary.


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Phase 3:AI Future prediction

- Predictive maintenance

(Under development)

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P3 / Major cause of machine downtime

Sudden machine breakdown

> to monitor the machines to find the sign before breakdown.

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P3 / 24/7 monitoring

24/7 medical checkup of the machines

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P3 / motor

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P3 / Core Structure

Sensor +

PC

Cloud Phone/PC

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P3 / Sensors

Microcontroller(PC)

Sound sensor

Gyro sensor

Thermometer

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P3 / Data

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AI Sales/Purchase order Anomaly detection

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04-1 / Sales/Purchase order Anomaly detection

Price

Order quantity

Order date

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Thank you

Naoki Shibata

[email protected]

Documents

Keep the machines up and running 24/7 · 2019-11-12 · Based on data such as bathroom usage log, weather information, work day calendar etc., the number of usage of bathroom for