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8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
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Figure 1. The finished product demonstration with custom trailer housing.
IoT Path-To-Product: The Making of a Connected Transportation
Solution
 
To demonstrate a rapid path-to-product edge IoT solution for the transportation sector, a proof
of concept was created using the Grove* IoT Commercial Developer Kit. That prototype was
scaled to an industrial solution using an Intel® IoT Gateway, industrial sensors, and Intel® System
Studio. This solution monitors the temperature within a truck’s refrigerated cargo area, as well
the open or closed status of the cargo doors. The gateway generates events based on changes to
those statuses, to support end-user functionality on a tablet PC application.
 
Submitted on August 12, 2016 Translate
IOT

Developer
Zone
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 2/16
The core opportunity associated with the Internet of Things (IoT) lies in adding intelligence and
connectivity to everyday devices, harnessing information and putting it to use in ways that add value.
Monitoring the status of a refrigerated semi-truck trailer hauling perishable goods is a simple example.
Alerting the driver when the temperature passes outside a pre-set range or when cargo doors are
opened unexpectedly can help avoid financial losses. An IoT solution to monitor and track these
aspects of a semi-truck trailer could therefore be a viable commercial product.
Intel undertook a development project to investigate this and other opportunities associated with
building a connected transportation solution. The project was presented as a demonstration at Intel®
Developer Forum (https://software.intel.com/en-us/articles/intel-iot-commercial-dev-kit-path-to-
product) in 2015 and again in 2016. This document recounts the course of the project development
effort, to help drive inquiry, invention, and innovation for the Internet of Things.
For a how to for this project, see IoT Path-to-Product: How to Build a Connected Transportation
Solution (https://software.intel.com/en-us/articles/iot-path-to-product-how-to-build-a-connected-
transportation-solution).
Visit GitHub for this project's latest code samples and documentation.
(https://github.com/intel-iot-devkit/path-to-product/tree/master/transportation/java)
Introduction
The goal of this project was to build a functional prototype and then to transition that proof of concept
into an industrial-grade solution for scalable deployment as a commercial product. Rapid prototyping is
facilitated by using the Grove* IoT Commercial Developer Kit, which consists of an Intel® NUC system,
Intel® IoT Gateway Software Suite, and sensors and their components from the Grove* Starter Kit Plus
(manufactured by Seeed). The project also uses the Arduino* 101 board. Hardware used in the
prototype stage of this project is illustrated in Figure 1, and specifications are given in Table 1.
Note: Known in the United States as “Arduino* 101,” this board is known elsewhere as “Genuino* 101.” It is
referred to throughout the rest of this document as the “Arduino* 101” board.
Table 1. Prototype hardware used in connected transportation project
  Intel® NUC Kit
DE3815TYKHE
Arduino* 101
Board
Processor/
Microcontroller
Intel® Atom™ Processor E3815 (512K
Cache, 1.46 GHz)
Intel® Curie™ Compute Module @ 32 MHz
Memory 8 GB DDR3L­1066 SODIMM (max) 196 KB Flash Memory
24 KB SRAM

Developer
Zone
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 3/16
Networking /
IO
Integrated 10/100/1000 LAN
Dimensions 190 mm x 116 mm x 40 mm 68.6 mm x 53.4 mm
Full Specs specs
(http://ark.intel.com/products/78577/Intel­
NUC­Kit­DE3815TYKHE)
specs
(https://www.arduino.cc/en/Main/ArduinoBoard101)
14 Digital I/O Pins
6 Analog IO Pins
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 4/16
Figure 2. Intel® NUC Kit DE3815TYKHE and Arduino* 101 board.
The course of this project demonstrates the value of the path-to-product approach: it allows a
prototype to be built with a relatively small investment of time and effort, followed by an efficient
transition to a commercially viable solution. Using a precompiled OS as well as RPMs helps to eliminate
unnecessary downloads, having to customize the OS, and identifying libraries necessary to bring a
project to life.
This project was devised to contribute to innovations around solutions for similar use cases being
produced and marketed. While this project was designed to provide only basic functionality, its design
is flexible and extensible enough that a variety of features could be added. In particular, the project
could be expanded in the future to include web connectivity, cloud capabilities, remote monitoring, and
other components.
In the project’s earliest stages, the team listed potential features for the prototype and the product. A
sample of these included rear-door status (open or closed), temperature of the trailer, alarms based on
the state of the door and temperature, an online application to view data, and in-cab monitoring of
information. To demonstrate the viability of creating a robust solution while maintaining simplicity and
low cost, the team elected to limit the bill of materials for the prototype phase to just the contents of
the Grove IoT Commercial Developer Kit.
Creating the Prototype Proof of Concept
To allow for separation of duties and efficient progress, the team divided the solution into three primary areas
of effort:
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 5/16
This approach of separating the project into discrete segments allowed the team to progress through
the prototype phase more rapidly than otherwise, taking best advantages of skill sets available within
the team. In particular, while the user interface was not strictly required in the early phases of the
project, it was expected to require the most development time of the three areas listed above.
Therefore, so beginning it as early as possible allowed for it to be well underway by the time it was
needed later in the project.
In terms of the application logic, the team was able to look ahead to the expected final functional
prototype and make decisions in the early prototype process looking to the future. Overall, the team
expected the operation of the door sensor to be relatively simple, allowing greater attention to the
proper utilization of a temperature sensor on a small and then commercial scale.
By utilizing the sensors in the Grove* Starter Kit Plus, we were able to rapidly create a prototype with a
functional sensor environment that the UI team could work with. This approach enabled layout and
design elements to come to life quickly and provided a future framework for the final functional use
case. The prototype configuration, with the Intel® NUC, Arduino* 101 board, and sensors, is illustrated
in Figure 3. The bill of materials is given in Table 2.
User interface (UI). Part of the team began working on the actual production UI layout and design,
looking ahead to the production stages of the project.
Application business logic. Part of the team began working on the logic for the prototype
application, while also recognizing that changes would be needed as the project progressed
toward the commercial solution.
Prototype sensor solution. Part of the team began to create the configuration of sensors for the
solution, utilizing the UPM/MRAA libraries for rapid development.
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 6/16
Figure 3. Developer kit with selected sensors enabled.
Table 2. Connected transportation prototype components.
  Component Details
Base System Intel® NUC Kit
DE3815TYKHE
http://www.intel.com/content/www/us/en/support/boards­
and­kits/intel­nuc­kits/intel­nuc­kit­de3815tykhe.html
(http://www.intel.com/content/www/us/en/support/boards­
and­kits/intel­nuc­kits/intel­nuc­kit­de3815tykhe.html)
Arduino* 101 Board https://www.arduino.cc/en/Main/ArduinoBoard101
(https://www.arduino.cc/en/Main/ArduinoBoard101)
USB Type A to Type B
Cable
For connecting Arduino* 101 board to NUC
Components
from Grove*
IoT
Commercial
Developer Kit
Base Shield V2 http://www.seeedstudio.com/depot/Base­Shield­V2­p­
1378.html (http://www.seeedstudio.com/depot/Base­
Shield­V2­p­1378.html)
Touch Sensor Module http://www.seeedstudio.com/depot/Grove­Touch­Sensor­
p­747.html (http://www.seeedstudio.com/depot/Grove­
Touch­Sensor­p­747.html)
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 7/16
Button Module http://www.seeedstudio.com/depot/Grove­Button­p­
766.html (http://www.seeedstudio.com/depot/Grove­
Button­p­766.html)
Temperature Sensor
Module
http://www.seeedstudio.com/depot/Grove­Temperature­
Sensor­p­774.html
(http://www.seeedstudio.com/depot/Grove­Temperature­
Sensor­p­774.html)
Buzzer Module http://www.seeedstudio.com/depot/Grove­Buzzer­p­
768.html (http://www.seeedstudio.com/depot/Grove­
Buzzer­p­768.html)
Red LED http://www.seeedstudio.com/depot/Grove­Red­LED­p­
1142.html (http://www.seeedstudio.com/depot/Grove­Red­
LED­p­1142.html)
LCD with RGB
Backlight Module
http://www.seeedstudio.com/depot/Grove­LCD­RGB­
Backlight­p­1643.html
(http://www.seeedstudio.com/depot/Grove­LCD­RGB­
Backlight­p­1643.html)
Use Case
The use case was built and displayed through an administration application to support the following
scenario:
 
1.  Press button to start the use case (simulating opening the door):
a.    Sets threshold ambient temperature +5 degrees.
b.    Solid red LED lights up in cab.
c.    LCD displays current temperature and door status (open), as shown in Figure 4.
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 8/16
Figure 4. Showing door status.
 
2.   Touch temperature sensor to raise ambient room temperature by five degrees:
a.    Buzzer sounds.
b.    Red LED blinks continuously.
c.    LCD turns red and displays actual temperature and door status (open), as shown in Figure 5.
Figure 5. Showing high temperature status.
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 9/16
Simulation
This simulation demonstrates the reduced potential loss of temperature-sensitive cargo by monitoring
temperature changes and alerting the driver if it becomes critical, as illustrated in Figures 6 and 7.
Figure 6. Log file showing events.
 
3.  Touch sensor to acknowledge alert (buzzer turns off).
4.  Press button to close the door:
a.    Red LED continues to blink until temperature passes below threshold.
b.    LCD displays temperature and door status (closed).
c.    When temperature passes below threshold, blinking red LED turns off, solid green LED lights
up, and LCD turns green.
d.    LCD displays temperature and door status (closed).
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 10/16
Figure 7. Base online view as envisioned.
Target Commercial Solution
With an operational prototype based on the Intel® IoT Developer Kit and Grove IoT Commercial
Developer Kit, it was necessary to determine how to proceed to create a commercial solution. Table 3
outlines how the components used in the prototype phase could be transitioned to a production
solution.
Table 3. Components in prototype versus production solution.
  Prototype Production Solution
Buzzer Grove Kit Buzzer Alarm on Phone (customer application)
LCD Grove LCD panel Screen on Phone (customer application)
LED (RED) Grove Kit LED Light on Phone (customer application)
Button Grove Kit Button Industrial magnetic sensor with paired
magnet
Touch Sensor Grove Kit Touch Sensor Touch on Phone (customer application)
Temp Sensor Grove Kit Temp Sensor Commercial Temp Sensor
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
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Heat Source Person’s Finger 20­watt Halogen Puck Light
Gateway Intel® NUC and Arduino 101
Board
Intel® IoT Gateway
In addition, there are many commercial gateways available, with design differences making them suited
to various industries and use cases. A key consideration for this project was a broad range of I/O
options, to support both current and future functionality, specifically for connecting sensors to provide
a data feed.
An Intel® IoT Gateway was chosen as the gateway device for the product portion of this project, as
shown in Figure 8. The processing power and I/O functions were deemed sufficient for the presented
commercial usage.
A wired Modbus temperature sensor was chosen to provide a reliable connection to obtain
temperature readings every several seconds. All communications on devices were performed via direct
wiring or via Ethernet. Standard MRAA/UPM libraries were maintained throughout the process without
any modifications.
The gateway acts as a web server, storing data as well as making calls to the temperature sensor to
keep the data fresh.  The Java UPM Library uses libmodbus to read and send periodic updates from the
Comet* temperature sensor to the Tomcat* web server.
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
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Figure 8. Gateway installed as part of demo with temperature sensor.
Transferring Code to the Gateway
Typically, ramping up to a commercial gateway involves having to revamp code so that it is compatible
with whichever services are available on the system. In this case, the coding on the prototype was all
performed in Java*, HTML, and JavaScript*, making the transition to a commercial solution relatively
simple. The code transition was simplified by the use of the same MRAA/UPM libraries in both phases
of the project.
Mapping Grove Sensors to Industrial Sensors
Using MRAA and UPM libraries can help jumpstart a project. The following steps cover porting the app
to the commercial product solution:
1.  Target desired industrial hardware:
a.    Determine whether the hardware requires additional libraries or application support.
b.    If needed, integrate libraries and software and create OS layers for software deployment.
2.  Once commercial product hardware is successfully integrated into the prototype solution, remove
the code that is no longer needed:
a.    Utilize existing layers created during the prototype phase to install solution dependencies.
b.    Make changes as needed for new hardware.
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 13/16
Customer Application
The base customer application, shown in Figures 9 through 12, was created to replace the functionality
of the Grove LCD, LED, buzzer, and touch sensor that the driver would interact with. In the production
solution, the customer application would reside on the mobile device carried by the driver, allowing for
easy notification and response to alerts. The customer application is quite simple in this example but
could be easily expanded. It has two status indicators that refer to temperature and door status. An
alert button becomes active and then gives an acknowledge button to clear the alert.
Figure 9. Main status screen.
3.  Take new and old layers and build into production runtime.
4.  Complete all installation and testing on production hardware.
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
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Figure 10. Status showing an alert.
Figure 11. Showing a full alert and acknowledge button active.
8/28/2016 IoT Path­To­Product: The Making of a Connected Transportation Solution | Intel® Software
https://software.intel.com/en­us/articles/iot­path­to­product­the­making­of­a­connected­transportation­solution 15/16
Connect
Collaborate on Dev Mesh
Figure 12. Initial setup screen finding IP address of gateway.
Conclusion
This exercise demonstrates use of the Grove* IoT Commercial Developer Kit to rapidly develop a
prototype. With wide-ranging libraries, the ease of use of the Developer Kit simplifies the development
process while also providing high compatibility for commercialization of the product. Scaling up to a
commercial gateway was quite easy, as the team was able to directly copy code and have it function
immediately.
More Information
How to Build the IoT Path to Product Connected Transportation Solution
(https://software.intel.com/en­us/articles/iot­path­to­product­how­to­build­a­connected­
transportation­solution)
Intel® Developer Zone for IoT (https://software.intel.com/en­us/iot/home)
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