C3.ai Sensor Health™ ensures the operational effectiveness of IoT devices and network infrastructure during both the deployment and the operational life cycle of IoT devices.
Analyze sensor health data from multiple sources and systems, such as network communication, device data management, and customer systems.
Visualize sensor deployment progress or health in an interactive, geospatial view of assets, device health metrics, and tool tips.
Access network communication data to analyze, identify, and fix network problems and affected meters.
Identify root causes of failure and get recommendations to address them.
Create a single, continuously updated, and prioritized work queue of installation and maintenance work orders to increase efficiency and effectiveness.
Locate sensors and remotely identify sensor configuration and location mismatches to ensure that the sensor is at the correct location and configured properly.
Assess device reconciliation issues to resolve errors related to provisioning errors and problems with customer, asset, or communications systems.
Generate a prioritized list of devices requiring field investigation or maintenance, with a health index score and supporting details to facilitate diagnosis or repair.
Track performance reports of deployment and provisioning performance.
Reduce operational expenses by reconciling installation and provisioning issues, improving office and field investigation efficiency, and isolating network problems.
Improve customer satisfaction through reduced device interruptions, rapid resolution of configuration issues, and improved service scheduling workflows.
C3.ai Sensor Health integrates and analyzes data from multiple disparate systems including IoT device data, head-end data from communication systems, asset management systems (AMS), global information systems (GIS), work order systems, customer relationship management systems (CRM), installation vendor data, and third-party data like weather information.
During sensor deployment, C3.ai Sensor Health identifies and reconciles problems, prioritizes remediation efforts, and enables the effective management of third-party vendors. During the ongoing operation of the sensor network, C3.ai Sensor Health uses advanced machine learning algorithms that continuously improve over time to identify sensor issues with increasing precision, predict sensor failures, and ensure the efficient operation of the sensor network.
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