Brownfield Analytics gives manufacturers full transparency into production and machine condition. It visualizes essential KPIs, highlights deviations and provides insights to optimize productivity. Supporting SINUMERIK and third‑party machines, it enables fast deployment and reduces unplanned downtime through data‑driven decision‑making and continuous improvement.
Quickly spot deviations and inefficiencies with clear, comparable KPIs. Brownfield Analytics surfaces performance gaps and improvement opportunities to support continuous optimization across the entire shopfloor.
Monitor machine condition and detect anomalies early using combined NC, drive, and condition data. This reduces unplanned downtime, prevents failures, and supports proactive maintenance planning.
Use open APIs to access machine‑health indicators, cycle‑time trends, and production KPIs. Integrate insights seamlessly into dashboards, MES, SCADA and advanced analytics environments.
Operations mode visualizes key production indicators such as machine status, program execution, cycle times, efficiency, and availability. These insights enable fast identification of deviations, support planning, and help production teams compare machine performance across the shopfloor to optimize throughput and address issues early.
Condition mode combines NC, drive, and machine‑condition data to calculate detailed health indicators for axes, components, and workpieces. It builds a machine fingerprint that detects anomalies, highlights early signs of wear, and gives operators transparency into mechanical behavior, enabling rapid diagnosis and data‑driven maintenance decisions.
Mechatronic mode provides deep insight into SINUMERIK‑controlled machine axes. It monitors ballscrews, belts, gearboxes, planetary stages, and encoder‑motor assemblies to identify mechanical wear and accuracy concerns. These insights improve availability, support precision work, and guide smarter maintenance planning and spare‑parts decisions.
All key KPIs, including machine‑health indicators, cycle‑time history, status information, and production data, are available through open APIs. This makes it simple for customers to integrate Brownfield Analytics insights into existing dashboards, analytics solutions, MES or SCADA systems, and cross‑site reporting tools.
Innomotics uses Brownfield Analytics to monitor machine condition across multiple SINUMERIK generations, detect issues early, and reduce unplanned downtime. The solution improves part quality, enhances reliability, and enables informed maintenance decisions through continuous monitoring and KPI‑based production insights.
