An IoT infrastructure is composed of a set devices that could be located in a room, like socket consumption meters, or spread through the planet, like oceanographic buoys. Such devices could also change their location over time, like vehicles.
Displaying your devices at their location can greatly help to have an overall view of the situation and immediately identify a device much faster than an identification number or a textual description. Depending on the purpose and on the physical area covered by your set of devices, you could display them on a geographical map (e.g. marine buoys or vehicles) or over a plan (e.g. domestic power consumption meters or machinery in a factory).
Sensorbis allows using a geographical map or a user-provided plan or image to visualize real-time position and telemetry data of your devices. If a device is static, you can set its coordinates in the device properties, while, if it can move, you can use coordinates provided by the device itself. Users can choose to view a track of the last positions of a device.
Coordinates are typically acquired using GPS, but any sort of custom positioning is fine, e.g. those calculated by indoor smart cleaning robots. All you need to do is specifying the coordinate channels of your device. If you use a custom plan, you can set its physical height and width to match the device measurements.
A deeper insight of the telemetry data is provided through charts with selectable period range, data coarseness and statistical indicators.
Let’s consider the case of robots that move on rails inside a factory. Those robots could be programmed to calculate their location on the track and thus inside the building. They could wirelessly send the position at regular intervals. By uploading a plan of the factory in the system, it is possible to follow the movement of the robots in real-time. And, by clicking on one of them, it would possible to view its battery level, the weight of its load, and so on. Those information can be expanded on a dedicated chart for a more detailed view over time.