Temperature, location and transport events connected to thresholds, alerts and a verifiable data history.
Cold-chain monitoringCONTEXT
Context and objective
A temperature alarm is only useful when timely and contextualised: sensor, shipment, threshold, excursion duration, location and operational response must remain connected.
SYSTEM
Architecture
A data logger or multi-sensor tracker captures temperature, location and opening events. Data is buffered, sent to cloud services, evaluated by rules and exposed through dashboards, notifications and reports.
Devices and sensors
- Temperature probe or data logger
- GNSS/cellular tracker
- Optional opening or shock sensor
- Local memory and trip-sized battery
Connectivity and protocols
- BLE or local bus
- Cellular network
- MQTT or HTTPS over TLS
- APIs and webhooks for logistics systems
Dashboards and operations
- Shipment status
- Excursions and duration
- Geofences
- Alerts, acknowledgement and audit trail
HDA contribution
- End-to-end architecture
- Power and connectivity profile
- Data model and rules
- Integration with logistics processes and systems
EVIDENCE
Outcomes and evidence
The pattern defines the components required to design the service. Its final configuration must be qualified against regulations, devices, autonomy and procedures in the real context.
TRUST
Role of Trusted Data
Relevant where shipment history must be verified across organisations. Signatures, identity and retention can strengthen evidence without replacing calibration and procedure.