Optimisation Model
The optimisation module adjusts control intervals and resource allocation parameters based on observed asset behaviour patterns. Sampling frequencies, reporting cadences, and processing priorities are recalculated against efficiency targets defined at deployment configuration. Model recalculation executes on a scheduled cycle without interrupting active monitoring operations.
| Model Component | Method |
| Interval optimisation | Activity-weighted sampling — high-activity assets sampled at increased frequency |
| Resource allocation | Priority-weighted edge CPU/memory budget allocation per asset class |
| Bandwidth optimisation | Differential transmission — only delta values forwarded from edge to core |
| Power management | Duty-cycle control for battery-powered edge sensors in low-activity periods |
Reports
| Report Type | Frequency | Format | Delivery |
| Efficiency summary | Weekly | PDF · JSON | SFTP · REST API |
| Interval adjustment log | On change | JSON | Webhook · REST API |
| Resource utilisation | Daily | JSON · CSV | REST API · SFTP |
| Quarterly performance review | Quarterly | PDF | SFTP · Operator portal |
Recommendation Logic
| Trigger Condition | Recommendation Type | Operator Action Required |
| Asset inactive > 7 days | Reduce sampling interval to minimum | Optional approval |
| Edge node CPU > 80% sustained | Offload non-critical workloads to core | Auto-applied (configurable) |
| Network throughput above baseline | Increase compression ratio or reduce transmission frequency | Auto-applied |
| Alert volume spike | Temporary threshold recalibration | Mandatory operator approval |
| Storage utilisation > 75% | Archive oldest data to configured cold storage | Auto-applied |