nBridge
AUTOMATED ROOT CAUSE ANALYSIS

Machine Data × Human Location.
Identify the "True Cause" of Downtime.

Factory Diagnosis Online

Knowing "that" the machine stopped is not enough.
To improve, you need to know "why." Our patented technology combines machine signals with operator location data to reveal the invisible context of your factory.

The Missing Link: "Context"

Conventional IoT tells you the machine is stopped. But is it stopped for setup? Or did a problem occur?

Factory Diagnosis Online collects both machine operation data AND worker location data (via beacons).
By analyzing "Where was the operator when it stopped?", it automatically categorizes the downtime reason.

Patented Technology

We hold patents for the logic of defining machine states based on the correlation between machine signals and worker proximity.

How It Works

Machine Data
Run / Stop
×
Human Location
Present / Absent
Automated Root Cause Identification

Status A: Stopped + Human Present

→ Setup / Troubleshooting

Status B: Stopped + Human Absent

→ Unexpected Stop / Other Tasks

Key Features

Worker Location Tracking

Record "Who was where, and for how long" minute by minute using beacons. Identify time spent on non-machining tasks away from the machine.

Man-Machine Chart Creation

Visualize the interaction between human and machine on a timeline. Easily identify waiting times, operational imbalances, and bottlenecks at a glance.

Auto-generated Activity Logs

Automatically generate daily reports from the acquired data. Eliminate the burden of manual reporting while ensuring accurate records.

Request a Demo

See how our patented logic can visualize your factory's hidden issues.

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