Maintenance and Asset ManagementPurpose
1.2. Enable automated aggregation of maintenance, faults, operational status, and sensor data for proactive planning.
1.3. Automate real-time monitoring, logging, ticketing, analytics, and alerts to streamline asset management operations.
1.4. Facilitate automating data-driven decision-making and automated resource allocation in government public works maintenance.
Trigger Conditions
2.2. Automated alarm events generated by devices or BMS (Building Management Systems).
2.3. Regular automated polling or push updates from IoT platforms.
2.4. Automated schedule-based data sync (e.g., hourly, daily).
2.5. Device heartbeat losses or inactivity notifications trigger automation.
Platform Variants
3.1. AWS IoT Core
• Feature/Setting: Rule Actions; configure automated message routing on topic triggers to AWS Lambda, S3, or DynamoDB.
3.2. Azure IoT Hub
• Feature/Setting: Event Routing; automate device-to-cloud data flows with Stream Analytics or Logic Apps integration.
3.3. Google Cloud IoT Core
• Feature/Setting: Device Data Stream; automate data delivery to Pub/Sub for further processing.
3.4. Siemens MindSphere
• Feature/Setting: MindConnect API; automate asset condition and alarm capture into maintenance platforms.
3.5. IBM Watson IoT Platform
• Feature/Setting: Rules & Actions; automate event handling to trigger IBM Cloud Functions or send MQTT messages.
3.6. PTC ThingWorx
• Feature/Setting: ThingWorx Services; automate event subscriptions and REST integrations for alarms.
3.7. Losant
• Feature/Setting: Workflows; automate device data ingestion and conditional alerting.
3.8. Ubidots
• Feature/Setting: Events Engine; automate real-time action on data threshold crossings.
3.9. Particle Cloud
• Feature/Setting: Webhooks, Events; automate delivery of sensor changes to external apps or databases.
3.10. Blynk Cloud
• Feature/Setting: Automations; automate device status monitoring and output triggers.
3.11. Adafruit IO
• Feature/Setting: Triggers; automate workflows on feed value changes.
3.12. Bosch IoT Suite
• Feature/Setting: Rules; automate execution of code blocks on incoming alarm data.
3.13. Cisco Kinetic
• Feature/Setting: Data Flow Management; automate edge-to-cloud data collection rules.
3.14. GE Predix
• Feature/Setting: Machine Data Collection API; automate industrial device telemetry synchronization.
3.15. Sigfox Cloud
• Feature/Setting: Callback API; automate delivery of low-power sensor payloads to endpoint services.
3.16. Honeywell Forge
• Feature/Setting: Asset Monitoring App; automate alert forwarding on equipment status.
3.17. OSIsoft PI System
• Feature/Setting: PI Notifications; automate alerts and data pushes for abnormal asset values.
3.18. Kepware KEPServerEX
• Feature/Setting: OPC UA/X REST; automate the relay of PLC and SCADA alarm events.
3.19. MQTT (e.g., Eclipse Mosquitto)
• Feature/Setting: Topic Subscriptions; automate data collection via message brokers.
3.20. Node-RED
• Feature/Setting: IoT Nodes & Flows; automate parsing and routing of incoming device messages.
3.21. InfluxDB
• Feature/Setting: Telegraf Input Plugins; automate the capture and storage of time-series IoT data.
3.22. OpenRemote
• Feature/Setting: Rules Engine; automate smart city asset event handling.
Benefits
4.2. Automated real-time visibility into equipment health reduces downtime.
4.3. Automates predictive, condition-based maintenance and asset lifecycle optimization.
4.4. Automator-driven standardization enhances data accuracy and compliance.
4.5. Automating alerts minimizes risks linked to infrastructure failures.
4.6. Automation of data flows fosters proactive maintenance and budgetary planning.
4.7. Automatedly streamlines communications across field teams and management systems.
4.8. Automate reporting for regulatory and executive oversight with up-to-date metrics.
4.9. Scale automating operations across multiple asset classes and locations.
4.10. Enable automatable, configurable event-response schemes to adapt maintenance strategies.