Smart Cold Chain – Challenges and Overview

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Smart Cold
Chain in South Korea

Smart Cold Chain – Challenges and Overview
This case study revolves around the application of new, high penetration wireless IOT
technologies to sensing temperatures at and around assets across warehouse floors
Thing+ helps centralize the data for monitoring and analysis, with value extracted
through the immediate, intelligent usage of this consistent data

Introduction

01In the most cold storage warehouses, there are a variety of products that all require very
specific storage temperatures

02Business owners and partners in the “Cold Chain” (including cold storage warehouses,
logistics, and point of sale) require centralized and automated tracking of temperatures
and product to comply with regulations as well
as ensure their assets

03Temperatures across the entire warehouse must be measured and analyzed
continuously to prevent product loss and to pinpoint problem areas. Due to the constant
movement and changes inside the warehouse, immediate and consistent confirmation
of temperature data is critical

USE CASE BENEFITS

Reduction in Product Lost
Reduction in Cost of Labor
Reduction in Energy Costs
Improved Product Quality (Food)
Improved Customer Safety (Food)

Solution Overview

01Placement of a large number of temperature probes capable of long range, high penetration
data uplink in critical positions across the warehouse

02Automate temperature data to immediately warn operators and stakeholders of
potential issues via SMS

03Provide flexibility to operators to change sensor locations and rules to follow changes in
warehouse product & conditions

04Provide the backend and APIs required to integrate and analyze the data
with pre-existing systems

System architecture

The below images show the hardware and software used to create the full end-to-end
solution. The core UI and UX modules of the Thing+ web application were used in this
specific case. S-47 edge nodes from partner Maestro Wireless were used for reliable,
consistent temperature monitoring beside pallets and warehouse assets

image viewer

HARDWARE DETAIL

Gateway

Rising HF

LoRa Gateway_industry

Sensor Node

Maestro

Wireless – S-47

SYSTEM APPLICATION AND
OPERATION EXAMPLES
SYSTEM APPLICATION AND
OPERATION EXAMPLES

Warehouse Internal “Full Picture” Dashboard

The Thing+ dashboard is used as a “full picture” dashboard to check all current
temperatures at the warehouse on a minute-by-minute basis Historical timelines
including abnormalities in temperature and unexpected temperatures at different
parts of the warehouse are shown on a per-zone basis

SYSTEM APPLICATION AND
OPERATION EXAMPLES
SYSTEM APPLICATION AND
OPERATION EXAMPLES

Back-End Integration

The Thing+ API was used to export historical data from the temperature sensing edge
nodes to 3rd party systems for data analysis. This data was used to inform changes to
the floor layout of the warehouse

SYSTEM APPLICATION AND
OPERATION EXAMPLES

Back-End Integration

The Thing+ API was used to export historical data from the temperature sensing edge
nodes to 3rd party systems for data analysis. This data was used to inform changes to
the floor layout of the warehouse

SYSTEM APPLICATION AND
OPERATION EXAMPLES
SYSTEM APPLICATION AND
OPERATION EXAMPLES

Automation and Alerts

Alerts were created triggered whenever temperatures at any zone became abnormal. In most cases, the Thing+ API was also used to directly
automate the A/C units when significantly abnormal behavior was detected – this was especially important during “off-times” when
most workers were not on-site (generally after midnight until the morning)
An example data-push rule used to help control the system based on sensor status data

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Do you have any questions?

Address : 10F Younghan-Building 12, Jung-gu, Supyo-ro, Seoul 04554
Telephone: +82. 2. 2274. 3254
Fax: +82. 2. 2274. 3254
Email: contact@daliworks.net

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