Assets fail together. FlowPowr treats the site as one connected system and works out how one asset’s decline changes the limits on everything around it.
One failing asset quietly derates its neighbours. Finding that early stops you replacing three healthy units to fix one sick one.
Most monitoring treats the UPS, the chiller and the switchgear in isolation. But a battery rack’s capacity fade reshapes what the cooling plant must deliver — relationships that propagate whether or not a monitor is aware of them.
FlowPowr represents the facility as a connected system where every physical coupling is a live edge. When one asset’s model detects accelerating degradation, that signal updates its neighbours’ operating limits.
The result is system risk rather than component risk — and that real-time state feeds directly into UptimePowr™ and GridPowr™ decisions.
Nodes are assets; edges are the physical couplings between them, carrying degradation signal from one to the next.
As each asset’s model refines, connected neighbours’ limits update. Component risk rolls up into system risk.
Real-time system state flows into UptimePowr™ and GridPowr™, so decisions account for the whole coupled system.
FlowPowr flags not just which asset is ageing, but how its degradation shifts the limits of the equipment coupled to it — the risk a single-asset monitor cannot see.
Capability described at the platform level; calibrated per facility.
Remaining-useful-life per asset. Forecasts when an asset crosses end-of-life, attributes why — and abstains when the data cannot support a call.
The commercial decision layer. Turns remaining life into a cost-optimal action — act now or wait, here is the window, and here is the justification record.
Degradation-aware market dispatch. Capture grid revenue without spending more asset life than the revenue is worth.
A read-only assessment proves the forecast on your own data before any hardware conversation. You see the record; you decide what it is worth.
