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Background
Globally connected machines with the purpose of analyzing data for predictive maintenance and enhanced service programs for the end customer.
Enabling full-duplex data communication for both collecting and updating the data flows deployed in the gateways.
Equipped with a rugged 3G/4G gateway and Wifi capabilities.
Prerequisites
When having a global base of customers, data communication requires a setup that uses as little bandwidth as possible for updates and data flow configuration changes, taking into account high bandwidth costs and
Scope
Collect and compute data from machines in the field
- Read proprietary protocols from machines operating system
- Reformat proprietary data to MQTT for further communication
Reduce bandwidth
- Filter data and remove unnecessary tags.
- Filter recurrent data before sending and repopulation of data at cloud arrival
Deadband handling (loss of connectivity)
- Save expected data if/when the machine loses connectivity.
Anomaly Detection
- Simple Anomaly Detection for analyzing known error codes
Notifications
- Notification when connectivity is broken
- Notification to service system when anomalies are detected
Solution
Crosser Node deployed in the machine gateway:
- Using
RS323 interface for machine data. - Customized modules for error-code handling and proprietary protocols
- Anomaly detection based on error-code data
- Email notifications via email delivery service to service
personal - SMS notifications if connectivity is broken (RnD)
Crosser Cloud:
Customer organization set up with roles