Idle times are among the largest hidden cost factors in machining. Without systematic recording of condition and performance data, their impact on energy consumption and wear during operation cannot be reliably identified.
The challenge: Lack of transparency regarding idle time and energy demand
In a machining operation, hydraulic pumps and peripheral systems often continued running even when machines were not actively in use. This resulted in consistently high energy consumption, unnecessary wear, and rising operating costs—a classic case of “idle time eating away at efficiency.” in.hub GmbH supported the company with its expertise in capturing and analyzing industrial condition data.
The solution: Automatic standby detection with local data processing
Using the HUB-EN200 from in.hub, automatic standby detection was implemented. Based on power and condition data, the system detects when a machine is idle and switches it off automatically or according to defined rules. The data is analyzed locally—no cloud, no additional server, and no IT interfaces required. This enables in.hub to integrate the solution easily into existing production processes.
The result: Lower energy consumption and faster payback
- 13.2 MWh less energy consumption per year
- €2,640 annual electricity cost savings
- Reduced wear and lower maintenance costs
- Over €7,000 total savings per year
The investment of €6,800 paid for itself within twelve months. In addition to cost reduction, maintenance and servicing also benefit—less operating time means a longer service life.
Facts at a glance
| Industry | Machining / metalworking |
| Use case | Automatic standby management |
| Solution | HUB-EN200 with local data processing |
| Solution provider | in.hub GmbH |
| Result | −13.2 MWh energy, €7,000 savings p.a. |
| Payback period | 12 months |
| Investment | €6,800 |
