Energy Monitoring
Metering and analytics that turn consumption into a controllable cost.
Detail sheet
How we build it
Every deployment is documented to the last terminal, so your team can own it the day we hand it over.
You cannot reduce what you do not measure. Sub-metering at machine and feeder level turns a single monthly bill into a map of where energy actually goes, which shifts and products cost most, and which equipment is drifting toward a fault.
- Granularity
- Machine and feeder level
- Reveals
- Cost per shift, per product line
- Bonus
- Early fault signal from drift
In detail
What you should know
How this building block behaves in a working plant, and where it fits.
From one bill to a map
A monthly bill tells you what you spent and nothing about where. Sub-metering at feeder and machine level turns that single number into a map: which line, which shift, which product, which idle period.
That map is usually where the first savings come from, because it exposes consumption nobody had a reason to look at — compressors running against leaks, equipment left energised through breaks, heaters cycling harder than the process needs.
Cost per unit made
Energy per unit of production is a more useful number than total energy, because it survives changes in volume. It also lets you compare shifts and product lines fairly and see the effect of a change instead of arguing about it.
Getting there needs the energy data and the production count to share a clock, which is why this works better when the metering and the control system are engineered together.
Drift as an early warning
Rising consumption on a fixed duty usually means something mechanical is degrading — a bearing, a filter, a belt, a leak. Energy is a cheap and continuous condition signal that most plants already pay for and never read.
Alarms on trend rather than threshold surface those changes while they are still cheap to fix.
Applied
Where it earns its place
- A single utility bill nobody can attribute to a line or product
- Suspected losses from compressed air or idle equipment
- Reporting energy per unit produced for costing or customers
- Early warning of mechanical degradation without new condition sensors
What ships with it
- Metering plan at feeder and machine level
- Installed meters and CTs with test records
- Dashboards for consumption, cost and energy per unit
- Trend-based alerts on abnormal consumption
- Baseline report for measuring later changes
Common questions
- Where should we meter first?
- The largest loads and anything you suspect. Full coverage is rarely the right first step; a handful of well-chosen meters usually finds enough to justify the rest.
- Does this need production data too?
- For cost per unit, yes — energy and output have to share a clock. Consumption mapping alone still works without it and is a reasonable place to start.
- Will it pay for itself?
- Often, though we will not promise a figure without seeing your loads. The usual finds are leaks, idle running and equipment cycling harder than the process requires.
Elsewhere in the stack
Other solutions
The layers above and below this one — most projects use three or four together.