Visualizing sensor / machine data
The measure of any analytical platform is its ability to aggregate and interpret the data values into a meaningful format for the audience. The data analytics platform should be simple to work with but at the same time should provide deepest insights for the end user. In this day and age of IoT driven smart machineries, the volume of data pushed by the sensors is humungous. There is a need for a proper visualization platform which can handle such large volume of data and do complex data analytics at ease.
Grafana is one such visualization platform or tool which helps users to unify, visualize, alert on and understand the data metrics obtained from external sources. Grafana supports more than dozens of databases and can help integrate data from multiple sources into a single dashboard window.
In our IoT driven industrial monitoring solutions, we have combined InfluxDB, which is a time-series database along with Grafana development to provide the necessary visualization and alert medium interface. One of the major driving forces behind the decision was definitely both of its open-source stature. The last thing one would want during serious data analytics is the vendor locking the platform out at a crucial juncture.
Being a versatile platform, Grafana offers much more than normal depiction of visualization charts, it has a polished UI with theme options and supports multi-tenancy. Grafana will also continuously evaluate the data metrics and users can set threshold alerts and send notifications to preset mail ID’s upon its breach. The dashboards can be dynamically created with the help of template variables. The graphs can be annotated with the help of happening events and will show the event Metadata upon hovering over.
Based on our experience in working with this innovative platform, we can easily integrate Grafana with an automation platform like OpenHab. Most noteworthy point is that Grafana never tries to load data more than its need. We can set time frames or intervals on the dashboard and the application will just try to pull that are relevant for that time frame. The application also optimizes itself by adjusting the panel size of the graph and screen resolution.
Grafana development Singapore
The user will always have a control on what to show and what not to. We have integrated data coming from a host of technologies like RFID, ZigBee, BLE etc and visualized it via Grafana development.
If you are looking to integrate your machine data and portray it in a meaningful visualization platform, we at Ripples IOT can help you set up a dedicated Grafana development lab. For more details, please drop in a message here.