En 物件管理平台 sales_kit0729

1. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Object Management Platform
Sales kit

2. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Current Situation of the Industry
Gartner’s statistics: The number of smart, connected
devices in the world have reached 10.3 million in
2014, and is projected to hit 30 million in 2020.
The most optimistic IoT market is the Asia-
Pacific region. IDC forecasts that the global
market share for the Asia-Pacific region will be
51.2% in 2020, and the local smart, connected
markets in Taiwan is projected to reach
US$290 million.
 Global market dynamics: Smart, connected products are changing the
competition. Whichever domain there is, smart, connected products and its
ecological system is going to play significant roles in the coming few years, giving new
looks to enterprises, and their markets continue to be optimistic.
Source: Compiled by Intelligence Circulation Team, Institute for Information Industry

3. FIND, III Smart Retail Team，2016。
FIND
Smart Retail 3
How to manage the growing number of IoT
objects?

4. FIND, III Smart Retail Team，2016。
FIND
Smart Retail 4
Object
Management
Platform
Four Major Characteristics of
Object Management Platform
Unitary device
management interface
A unitary backstage
manages all devices within
a given physical domain.
Manage devices with the
concept of “domain”
Through the concept of business
district, massive amount of
devices are categorized and
managed accordingly.
Connecting smart,
connected devices
through API
Able to connect IoT objects such
as digital billboard, Beacon,
temperature and humidity
sensor, infrared people sensor.
Automatic reporting
mechanism when
the device
abnormality occurs
Ensure the service’s usability
by keeping track of front-end
devices in real time.
Create a ”Monitoring Mechanism for
Real-Time IoT Objects and Services”

5. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Function Structure
Object Management
Platform
Beacon
management
Signage
management
Object trigger
setup
Beacon
sensor range
setup
Object ID
management
IoT service
management
Object
deployment
business
district
management
User
management

6. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Skeleton Structure of
Object Management Platform
Back-end
Server
Shopping Mall
Wifi
Digital billboard
(API embedded)
Internet
Temperature and
humidity sensing
Infrared people sensing
Mediator(API embedded)
App(API embedded)
Beacon
Web DB
Mgt. Web

7. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Object Management Platform: Scenarios of
Usage1. Retailers in the new
domain joins the platform
Our party will evaluate shops on
retail environment, types of
products sold, and business
models, etc., and give them
feedbacks on their services.
2. Registration for objects in
the domain
Through simple instruction on
platform operation, the retailers
in the domain can follow the steps
to register and log into the
platform.
3. Obtain API and the monitor
program on the billboard-end
Retailers can obtain corresponding
API and the monitor program on the
billboard-end based on their needs
and our suggestions.
4. Bury in API and the monitor
program on the billboard-end
Retailers can bury the obtained
API into the APP or backstage
host, and embed the monitor
program into the billboard host
and setup.
5. Domain service begins
the operation
Domain service begins the
operation, and pass the data
back to our host through
API.
6. Backstage smart analysis
Through smart analysis at the back-
end management platform, we
provide the suggestions for
deployment revision as a reference,
or evaluate the effectiveness of the
object usage.
7
O.M.P.
Client Application
新光三越百貨
世貿展覽館
寒舍艾美酒店
威秀影城
ATT4Fun
北市府公園
臺北101
誠品書店
市府捷運站
/統一阪急
Windows 2008 Server
WAMP
Apache+MySQL+PHP
Server MobileAPPs
1
2.1
2.2
服務
場域
iii
虛擬主機

8. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Specifications for Software & Hardware
Specifications for Software
OS Windows Server 2008
R2 64 bit
DB My SQL 5.7.12.0
FTP Xlight FTP Server
Server Apache Tomcat 7.0
Specifications for Hardware
CPU XEON dual cores with
four threads
RAM 8 GB
ROM 100 GB
Estimated flow per
month
10 GB

9. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
A Real-life Case
Time：
February 23, 2016
Place：
International Conference Center, National
Taiwan University Hospital
Description of Scenario：
5 Beacons, 2 digital billboards, 2 sets of
infrared people sensor, 2 sets of temperature
and humidity sensor are set up at the scene,
all of which are embedded into the object
management platform API.

10. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Results from Empirical Evidence (1/4)
Statistic value of infrared people sensors
Numbers of people entering and exiting

11. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Results from Empirical Evidence (2/4)
Data reported from temperature and humidity sensor
(Updated every 10 seconds)

12. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Results from Empirical Evidence (3/4)
IoT object _ Beacon real-time update of counts of sensor

13. FIND, III Smart Retail Team，2016。
FIND
Smart Retail
Results from Empirical Evidence (4/4)
IoT object _ digital billboard real-time frame update