Real-time operational KPIs monitoring

Purpose

1.1 Automate real-time monitoring and alerting of operational KPIs across coal mining and coalfield workflows.
1.2 Enable automated data collection from field sensors, machinery, ERP, and safety systems.
1.3 Automatedly analyze, visualize, and distribute real-time KPI insights to management and operational units.
1.4 Automate escalation and remediation steps for threshold breaches or critical events in coalfield processes.
1.5 Standardize KPI dashboards for corporate visibility, automating report creation and delivery cycles.

Trigger Conditions

2.1 Incoming sensor data stream from coal mining machinery or IoT devices.
2.2 Batch arrival of new ERP, MES, or production data files.
2.3 Scheduled automated data polling from databases or cloud warehouses.
2.4 Manual trigger via API or dashboard UI by supervisory staff.
2.5 Automated threshold breach detection by event processor.

Platform Variants

3.1 Microsoft Power BI
• Feature/Setting: Real-Time Streaming Dataset; configure API endpoint to automate push of KPI data from coalfield IoT.

3.2 Google Sheets API
• Feature/Setting: Sheets API v4 appendCells; automate data logging and real-time operations dashboard updating.

3.3 AWS Lambda
• Feature/Setting: Automated execution function; configure event triggers for KPI analysis on new data arrival.

3.4 Zapier
• Feature/Setting: Webhooks + Data Store; automate collection and routing of operational metrics to dashboards.

3.5 Tableau Online
• Feature/Setting: Live Connection; automate scheduled extracts or data source auto-refresh for dashboards.

3.6 Grafana
• Feature/Setting: Live Data Streams; connect Prometheus or InfluxDB streams to automate visualization of KPI influx.

3.7 Slack API
• Feature/Setting: Chat.postMessage; automate alert notifications of KPI breaches to relevant team channels.

3.8 Trello
• Feature/Setting: Cards API; automate creation of remediation tasks on operational anomalies.

3.9 Airtable
• Feature/Setting: Automation Scripts + API; automate insertion and real-time update of KPI metrics in bases.

3.10 Twilio SMS
• Feature/Setting: Message API; automate SMS alerts to field supervisors on safety or performance irregularities.

3.11 Azure Logic Apps
• Feature/Setting: Event Grid Trigger; automate orchestration of KPI workflows between cloud components.

3.12 ServiceNow
• Feature/Setting: Incident Management API; automate raising ITSM tickets based on operation KPI anomalies.

3.13 Datadog
• Feature/Setting: Events API; automate event ingestion and visual alerting for coal mining KPIs.

3.14 Splunk
• Feature/Setting: HTTP Event Collector; automate real-time operational log and KPI ingestion.

3.15 Power Automate
• Feature/Setting: Recurrence Trigger + HTTP Action; automate scheduled KPI polling and alert workflows.

3.16 Monday.com
• Feature/Setting: Board Automations API; automate tracking and escalation of field performance metrics.

3.17 Notion
• Feature/Setting: Database API; automate in-table KPI records and dashboard integration for corporate overviews.

3.18 ClickUp
• Feature/Setting: Task Automations; automate task generation on key KPI drop or hazard incident.

3.19 InfluxDB
• Feature/Setting: SUBSCRIBE/Telegraf; automate ingestion and querying of sensor KPI streams.

3.20 PagerDuty
• Feature/Setting: Events API v2; automate incident notifications and escalation on critical KPI events.

Benefits

4.1 Automated KPI tracking reduces manual reporting time, errors, and oversight.
4.2 Automated alerting ensures real-time awareness and faster remediation in coalfield operations.
4.3 Automation of dashboards presents always-up-to-date executive insights.
4.4 Automating escalation processes optimizes resource deployment for incident handling.
4.5 End-to-end workflow automation standardizes operational excellence and regulatory compliance in coal mining.