Digi > Case Studies > Remote Temperature Monitoring of Perishable Goods Saves Money

Remote Temperature Monitoring of Perishable Goods Saves Money

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Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Networks & Connectivity - Gateways
  • Networks & Connectivity - Wireless Local Area Network
Applicable Industries
  • Electronics
Applicable Functions
  • Procurement
Use Cases
  • Supply Chain Visibility
The Challenge

RMONI was facing temperature monitoring challenges in a cold chain business. A cold chain must be established and maintained to ensure goods have been properly refrigerated during every step of the process, making temperature monitoring a critical business function. Manual registration practice can be very costly, labor intensive and prone to mistakes.

The Customer
About The Customer
RMONI provides wireless remote monitoring of crucial control parameters including a solution for temperature monitoring during transport and storage of food products and pharmaceutical goods. RMONI has more than 1,500 installations in Europe and 10,000 se
The Solution

RMONI created a complete solution with hardware, wireless sensors deployed with XBee modules, gateways and the Sensor2Web application. The modules collect and pass sensor data to a centralized gateway. The gateway packages and sends the data to the cloud. With the Sensor2Web application, RMONI customers can view data in real-time on a dashboard, create reports to provide to regulatory authorities and receive alerts sent via email and SMS messages.

Hardware Components - XBee ZigBee modules - Centralized gateway

Software Components - Sensor2Web application

Operational Impact
  • [Process Optimization - Real Time Asset Tracking]
    The status of assets can be identified in near real-time.
  • [Efficiency Improvement - Operation]
    Problems are indicated to line operators when the condition of a device or associated equipment changes beyond predetermined limits.
  • [Data Management - Data Analysis]
    Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.
Quantitative Benefit
  • The solution has decreased supermarket food waste by 10%.

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