IoT Device Management

IoT Device Management · Capability

Anomaly Detection

ML watches telemetry for anomalies — sudden vibration spike, temperature drift, signal degradation. Alerts before failure.. Part of the IoT module — purpose-built for paper manufacturing operations and integrated with the rest of the Papyrus platform.

Process Flow

How it works.

01Configuresetup
02Initiateaction
03Processengine
04Reviewapprove
05Completeaudited

Key Features

What you get.

Every feature is purpose-built, fully integrated, and audit-ready. No bolt-ons or compromises.

ML watches telemetry for anomalies — sudden vibration spike, temperature drift, signal degradation. Alerts before failure.

Audit-logged across every state transition with user, timestamp, and delta

Multi-tenant aware — scoped per company and branch

RBAC-protected with field-level access control

Mobile and desktop interfaces with offline capability

Notification triggers and SLA monitoring

In the Product

How it looks.

Papyrus BPApp · Anomaly Detectioniot-devices/anomaly-detection

Status

Active

Last activity 2 min ago

Today

142

↑ 12% vs yesterday

SLA

98.7%

Within target

Recent Activity

01
Configuresetupnow
02
Initiateaction2m ago
03
Processengine4m ago
04
Reviewapprove6m ago
05
Completeaudited8m ago

Get Started

See Anomaly Detection in your mill.

Book a demo focused on IoT. We'll walk through anomaly detection and the connected workflows.

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