Machine and sensor data planning
Assess machine connectivity, PLC signals, sensors and data collection constraints.
↗INDUSTRIAL IOT & OEE
Turn machine activity into production insight.
Connect available machine signals with dashboards for output, downtime, trends and shift-level performance.
01 UNDERSTAND02 SHAPE03 DELIVER
PLANT / FLOOR 01● SYSTEM READY
FOCUSProduction Monitoring & IoT
VIEWShift / Machine
INSIGHTTrend analysis
PRODUCTION MONITORING & IOT · PLAN · DELIVERFROM SIGNAL TO ACTION
A production view built around reliable machine data
Useful monitoring starts by confirming which signals are available, how machine states are defined and what the team needs to learn from the data.
Machine-wise and operation-wise views
Organise machine-wise, operator-wise, model-wise and operation-wise views where data supports them.
↗Downtime and trend reporting concepts
Define downtime reasons and event rules before building analysis.
↗Hourly, shift and date-range analysis where supported
Plan hourly, shift, daily and longer-range trends around available records.
↗Alert and integration planning
Specify alerts and OEE calculations using agreed definitions and inputs.
↗WHERE IT FITS
Made for the work you need to get done.
Every implementation is scoped around the people using it, the environment it runs in and the decisions it should support.
01Factories monitoring multiple machines↗
02Teams analysing downtime patterns↗
03Plants building shift and OEE reports↗
HOW WE WORK
A clear path from need to outcome.
We adapt the delivery process to the complexity, dependencies and practical constraints of your project.
Audit signals and connectivity
Clarify the current process, people involved and the outcome that matters.
Define states and metrics
Agree on the structure, priorities and practical constraints before build work.
Build views and analysis
Implement the agreed scope and review important decisions as work progresses.
Validate against plant records
Test realistic scenarios, resolve issues and prepare a clear handover.
THE DIFFERENCE TO AIM FORPractical progress.
Practical progress.
Purposeful delivery.
Let’s review your machines, available signals and the production questions you want answered.
Start with the machine data you can trust. ↗01A more visible production picture+
02Better context around downtime+
03Consistent definitions for reporting+