The unified industrial knowledge graph
Map the living relationships across plant equipment, supply lines and site crews.
Move beyond static relational rows and isolated maintenance tickets.
- Maps physical dependencies between major equipment trains (crushers, autoclaves, distillation columns), auxiliary infrastructure (lube skids, switchgear) and active lock-out/tag-out (LOTO) boundaries.
- Binds work packs directly to prerequisite site conditions: crane availability zones, gas-testing clearance, environmental permits and emergency response teams.
- Reveals hidden operational dependencies across plant zones before crews deploy to the field.
High-velocity turnaround (STO) simulation
Absorb scope discovery without missing critical restart milestones.
Zero-copy branching
When discovery scope emerges, planners can spin up parallel simulation sandboxes without duplicating database records or disturbing active site operations.
Algorithmic critical-path leveling
Constraint solvers compare recovery sequences against configured requirements, including shift changeovers, crane lifting windows and applicable curing times, to help planners assess feasible options.
Controlled merge to live
Once project leadership approves an updated sequence, JanusKS updates live operational displays and writes milestones back to enterprise scheduling tools.
Dynamic FIFO rostering and fatigue risk governance
Synchronize personnel travel, camp accommodation and safety compliance.
Constraint-enforced scheduling
Solvers validate prospective rosters against fatigue guidelines (hours worked, night-shift spacing, rest breaks) and site-specific safety regulations.
Logistics alignment
Matches planned rosters against camp accommodation caps and flight manifests, reducing double-bookings and costly chartered deadheads.
Automated competency verification
Verifies mandatory licenses (such as high-voltage switching, rigging and confined-space entry) against task requirements before crew mobilization.
Synchronized work-pack readiness
Ensure trades, tools, permits and materials converge at the job face together.
Prerequisite verification
Flags tasks on the critical path whose prerequisites, such as material clearance, scaffolding inspections or crane access, are not confirmed 24 to 48 hours prior.
Closed-loop isolation coordination
Synchronizes permit-to-work issuance with shift handovers, cutting hours spent waiting for manual isolations at shift start.
Resource conflict resolution
Flags shared equipment bottlenecks (such as dual demand for a 200-ton mobile crane) before crews arrive on site.
Bi-temporal asset health and outage planning
End the conflict between production yield and asset integrity.
Sensor and telemetry fusion
Integrates continuous SCADA and IoT streams (vibration, heat, pressure) into the historical asset graph to track true wear progression.
Empirical degradation modeling
Reconstructs historical operating data to identify the point where deferring maintenance increases the statistical likelihood of catastrophic failure.
Opportunistic maintenance windows
Suggests low-impact inspection opportunities during planned operational slowdowns or downstream bottlenecks.
Comparing approaches: conventional systems vs JanusKS
| Operational focus | Traditional industrial management | The JanusKS IDSS platform |
|---|---|---|
| STO scope discovery | Planners manually revise schedules as new work emerges, while affected trades may remain on paid standby. | Spin up zero-copy sandboxes; constraint solvers compare resequencing options to help protect the restart date. |
| FIFO and camp logistics | Flights, room allocations and roster rotas managed in separate spreadsheets, causing overbookings and empty seats. | Unified spatiotemporal graph synchronizes travel manifests, camp bed capacity and site coverage automatically. |
| Fatigue management | Supervisors manually review punch-clocks after shifts are completed; fatigue risks discovered too late. | Continuous constraint validation flags impending fatigue limit breaches before shifts are assigned. |
| Work-pack staging | Specialized trades arrive at equipment only to find missing permits, expired scaffolding tags or delayed parts. | Dynamic prerequisite tracking helps parts, permits, staging and trades arrive at the workface together. |
| Maintenance vs production | Maintenance schedules continually pushed back to hit short-term production quotas, risking catastrophic failure. | Historical degradation modeling calculates the actual operational risk of delayed maintenance, grounding choices in data. |
Industrial security, sovereignty and remote resilience
Heavy industry, mining assets and energy networks represent critical national infrastructure (CNI), subject to demanding security standards and remote operating conditions.
Offline and air-gapped deployment
Deploy the complete graph database, solver engine and private runtimes directly on-premises at remote mine sites, offshore platforms or secure industrial facilities, operating independently of public internet connections.
No variable cloud costs
Simulation runs, continuous anomaly detection and automated schedule evaluations run on dedicated local hardware with no per-token SaaS fees.
Industrial cybersecurity alignment
Built to support corporate compliance with critical infrastructure standards, including IEC 62443, NIST SP 800-82 and the Australian Security of Critical Infrastructure Act (SOCI).
Defensible human-in-the-loop governance
Autonomous solvers surface recommendations, calculate risk trade-offs and highlight schedule conflicts, while final operational approvals, plant restarts and procurement commitments stay firmly with human engineers.