In the ever-evolving landscape of IoT, maintaining seamless connectivity is paramount. Today, we're thrilled to unveil a new feature in t6 IoT that takes connectivity to the next level — sensor failure detection.
Tagged on #feature, #sensor, #failure-detection, #Predictive Maintenance,
One of the key challenges in IoT is ensuring that data from sensors is consistently and reliably transmitted. With our latest enhancement, t6 now autonomously identifies when a sensor fails to send measurements for an extended period, promptly alerting users to potential disruptions.
With sensor failure detection, t6 continues to pave the way for innovation in the IoT landscape. Experience the future of connectivity!
How It Works
Powered by custom Flows parameters, t6 monitors the incoming sensor data and identifies any gaps in the stream. Whether due to technical glitches, device malfunctions, or other unforeseen issues, the system swiftly recognizes these lapses, triggering immediate notifications (push notifications).
Benefits for Users
- Proactive Issue Resolution: Users can now address potential problems before they escalate, reducing downtime and optimizing operations. Another ralated feature were implented earlier with Predictive Maintenance
- Uninterrupted Connectivity: By staying informed about sensor health, t6 users ensure that their IoT ecosystem operates at peak efficiency.
Implementation and Customization
Sensor failure detection feature in t6 has been seamlessly implemented with user-friendly customization options. For users integrating this capability into their IoT setup, t6 has introduced a Time-To-Live (TTL) extra parameter within Flows.
Additionally, by adding a boolean attribute,
dead_notification, users can effortlessly enable or disable notifications for sensor failures on a per-Flow basis. This flexibility empowers users to tailor the monitoring parameters precisely to their needs.
Moreover, to refine the notification experience and avoid potential notification overload, t6 offers an additional customization option. Users can set a dead_notification_interval parameter on a Flow, defining the periodicity of dead sensors notifications. This ensures that users receive timely alerts without being inundated, striking the right balance between vigilance and managing notification volume.
This level of customization not only enhances the adaptability of the feature but also ensures that users have granular control over the monitoring and notification process.
Technical documentation for detailsTagged on #feature, #sensor, #failure-detection, #Predictive Maintenance,