Chocolate Storage Temperature Monitoring During Shipments
By: CAS DataLoggers
Using their own equipment, the company found that their manufacturing process wasn't the cause, so their next step was to monitor the product during transportation. Management began searching for an intelligent data logging system that could measure both temperature and humidity and connect to RTDs and thermocouples for high accuracy recordings. This device would also need to include user-friendly software for quick configuration and analysis.
The manufacturer installed a dataTaker DT80 Intelligent Data Logger in the back of one of their contractor's trucks. A comprehensive temperature and humidity profile was then put into place: the DT80 data logger was connected to several sensors including RTDs, thermocouples, and humidity sensors. 3 RTDs and 3 thermocouples were used to monitor the temperature within several cardboard boxes of chocolates, with 3 more recording humidity. All were connected to the battery-powered data logger, which was then configured to take a continuous series of readings at a set hourly interval.
Managing all the data was just as easy: the datalogger stored up to 10 million data points in user-defined memory so that the system could make as many shipment runs as needed to identify the problem. The DT80 also offered users the choice to overwrite or stop logging once the allocated memory was full. Data transfer options included Ethernet, optional WiFi or built-in cellular modem and front panel USB stick. Smart serial sensor channels capable of interfacing to RS232, RS485, RS422, and SDI-12 sensors, and Modbus slave and master functionality allow connection to Modbus sensors and devices and to SCADA systems.
Following the installation of the dataTaker DT80 intelligent data logger, the chocolate manufacturer successfully identified the cause of their product spoilage–it was clear from the gathered data that their main contractor's drivers were conserving fuel by turning off their trucks' fuel-driven refrigeration units for hours at a time. Once detected, this practice was quickly stopped, decreasing the incidence of ruined shipments. The problem had been identified using the data logger's ability to connect to both humidity and temperature sensors, log for extended periods, and to analyze data with the included dEX software.
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