Agent StoreInformation TechnologyIndustrial Control System Monitoring
Live

Plant SCADA Uptime Monitoring Agent

Information TechnologyIndustrial Control System Monitoring

Monitors plant SCADA, PLC network, and industrial control system uptime and connectivity, alerting IT and operations before a system fault disrupts manufacturing production.

4
Process steps
5
Integrations
3
Data inputs

Plant IT and OT (operational technology) teams responsible for keeping SCADA systems, PLC networks, and industrial control infrastructure running are often notified of a problem only after production has already stopped, because there is no continuous, automated view of control system health separate from the production floor's own downtime logs

Diagnosing whether a stoppage originated from a network fault, a PLC firmware issue, or a SCADA server problem typically requires manually pulling logs from multiple disconnected systems after the fact

This agent continuously monitors the health, connectivity, and performance of SCADA servers, PLC network segments, and HMI stations across the plant, detecting early warning signs such as network latency spikes, failed heartbeat checks, or server resource exhaustion before they cause a production-impacting outage

It correlates control system incidents directly with any resulting line stoppage to give IT and operations a shared, fast diagnosis

The agent polls SCADA server health metrics, PLC network heartbeat and latency data, and HMI station connectivity status on a continuous basis, applying anomaly detection to identify degrading performance before a hard failure occurs. When an incident does occur, it automatically correlates the control system event timeline against any concurrent production line stoppage recorded in the MES, producing a unified incident timeline. Alerts are routed to IT/OT support with the affected system, likely cause, and correlated production impact attached.

1

Control System Health Monitoring

  • Poll SCADA server resource and performance metrics continuously
  • Monitor PLC network heartbeat, latency, and packet loss
  • Track HMI station connectivity and responsiveness
  • Establish baseline performance per system for anomaly comparison
Outcome: Continuous, baselined health data is maintained for every critical control system component.
2

Early Warning Detection

  • Detect degrading performance trends before a hard failure occurs
  • Flag network latency spikes or intermittent PLC communication drops
  • Identify SCADA server resource exhaustion trending toward failure
  • Prioritize warnings by criticality of the affected system
Outcome: Developing control system issues are surfaced while there is still time to intervene.
3

Incident Correlation

  • Detect confirmed control system incidents (outage, fault, disconnect)
  • Cross-reference the incident timeline against MES production stoppage logs
  • Identify which lines or work centers were impacted by the incident
  • Estimate production time and cost impact of the incident
Outcome: Control system incidents are directly linked to their production impact for fast, shared diagnosis.
4

Alerting & Resolution Tracking

  • Alert IT/OT support with affected system and likely cause
  • Route production-impacting incidents to plant operations simultaneously
  • Track incident resolution time and root cause once diagnosed
  • Compile a recurring control system reliability report
Outcome: IT/OT and operations receive coordinated, fast alerts and a documented resolution record.
SCADA system (e.g., Ignition, Wonderware
PLC network monitoring tools
MES (Manufacturing Execution System)
IT service management platform (e.g., Se
Slack/Microsoft Teams