This workflow continuously monitors elevator performance data to detect anomalies and automatically triggers maintenance alerts when performance degrades beyond acceptable thresholds. It reduces unexpected breakdowns and optimizes maintenance scheduling through predictive analytics.
Real-time performance data received from elevator sensors (vibration, door timing, motor current, etc.)
Each node represents an automated step. Connections show how data and decisions move through the workflow.
Detailed explanation of each automated stage in the workflow.
Continuous stream of performance metrics including door cycle times, vibration levels, motor current, and travel speeds from building management systems. Data is collected every 15 minutes from all monitored elevators.
Compare current metrics against historical performance baselines and manufacturer specifications to identify deviations. Calculate performance scores and trend analysis for each elevator component.
Determine if detected anomalies require immediate attention, scheduled maintenance, or just monitoring. Branch workflow based on critical, warning, or normal performance levels.
Generate appropriate maintenance requests in the work order system with priority levels, recommended parts, and technician skill requirements. Include performance data and diagnostic codes in work order details.
Send performance alerts to maintenance teams, building managers, and service dispatchers with recommended actions. Generate daily performance dashboards and compliance reports for stakeholders.
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