Digital Manufacturing • DM-10
Industrial Safety
Detect the unsafe condition before it becomes the incident report.
Scope
What the engagement covers.
Safety data usually arrives after the event. This service uses positioning, video analytics and interlock integration to intervene while the hazard is still developing.
Included capabilities
- Worker positioning with geofenced hazard and exclusion zones
- PPE compliance detection and unsafe-behaviour analytics
- Man-down, lone-worker and evacuation mustering
- Machine interlock and permit-to-work integration
- Leading-indicator reporting on near misses and unsafe conditions
Outputs and deliverables
- Hazard zone model and rule configuration
- Positioning and detection deployment design
- Alert and escalation procedures
- Leading-indicator safety reporting
Workflow
How it is delivered, step by step.
Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.
01AssessHazard map, incident history, exclusion zones and permit processes.
02InstrumentPositioning tags, cameras, sensors and interlock interfaces.
03ConfigureZones, rules, alert thresholds and escalation paths.
04InterveneReal-time alerting to worker, supervisor and control room.
05ReportLeading indicators feeding the safety management system.
Use cases
Where this is typically applied.
Confined space and lone-worker operations
Plants under regulatory pressure after a serious incident
Delivery model
The operating pattern for Digital Manufacturing.
The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.
Baseline
Asset register, data availability, loss analysis and value case per line.
Connect
Sensors, gateways, historians, protocol translation and network coverage.
Model
Twins, failure models, OEE logic and analytics validated against real events.
Deploy
Operator and maintainer workflows, alerts, dashboards and situation centre.
Scale
Second line, second site, standard templates and capability transfer.
Integration
- MES, APS, ERP and CMMS so insight becomes a work order, not a dashboard.
- SCADA, historians and PLC layers via standard industrial protocols.
- Quality and laboratory systems for genealogy and root-cause analysis.
- Private LTE/5G or industrial Wi-Fi for coverage in electrically noisy plants.
Engagement approach
Deployment starts on one line or one asset class where losses are measurable, so the business case is proven on real production data before the site-wide rollout is committed.
Related
Other capabilities in Digital Manufacturing.
DM-01
AI Technical Monitoring
Catch equipment failure while it is still cheap to fix.
DM-02Digital Twin
A live model of the plant that answers questions before you commit to the change.
DM-03OEE / Asset Scoring
One honest number for equipment performance, built from data nobody can argue with.
DM-04Situation Center
One room where production, maintenance, quality and energy are looked at together.
DM-05AI Maintenance Assistant
Put twenty years of maintenance knowledge in the technician’s hand.
DM-06Robot Fleet Management
Treat robots and AGVs as a managed fleet, not as isolated machines.
DM-07MES / APS / SCADA-HMI Integration
Make the execution layer, the planner and the control layer agree.
DM-08Private LTE/5G & Industrial Connectivity
Coverage that survives metal, movement and electrical noise.
DM-09Smart Workshop
Digitize the workplaces where most variability actually originates.
DM-11Environmental & Energy Management
Attribute energy and emissions to the process that actually consumed them.