Arviem Dry Container Device
Arviem RC Dry Container Device
Preparation
Once a monitoring trip is planned, send the following shipment details to support@arviem.com
- Shipment Reference Number
- Container Number
- Device ID (i.e. AA0101)
- Destination
- Vessel Name (if known)
Mounting
Place the device on the container after the loading is completed and right before the container doors are closed
Step
Place the device on the top beam of the container between the inner cam keepers of the closing bars.
Step
Ensure that the device is placed firmly on the cross beam of the container so the vertical hook plates are flush against the beam. The device will be kept at place by strong magnets and mounting automatically detected.
Step
Close the left door first and then the right door. The shipment is ready to be transported and monitoring starts.
Do not place the device at the inner side of nudges. This is incorrect mounting.
Do you like videos more?
Watch the video showing the quick and easy device mounting process
Demounting
After the container doors opened, pull down the device
Step
Look up to see if a device is mounted on the container. The visual shows what to look out for. If the device is mounted on a container, follow the next steps.
Step
Open the right door first.
Step
After the doors are open, reach for the monitoring device and remove it by pulling it downwards from the top beam of the container.
Watch the video showing the quick and easy device demounting process
Document Library
Having problems with installing our devices?
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ARVIEM
Arviem solves the challenges of obtaining visible and intelligent trade by offering real-time end-to-end cargo monitoring services. As the only full-service provider for real-time cargo monitoring on the market, Arviem provides exceptionally accurate location and quality condition monitoring of cargo throughout the global supply chain. Our leading-edge solution will provide global supply chain stakeholders with on-demand access to real-time, transport-related data.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 885924
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