Spaces in your IoT project

Below we will run you through an example of using spaces to get your project oranized.

Let’s assume you are collecting temperature data from a number of physical buildings and all the rooms in those buildings.

First we create a main space for all of your buildings and name it «Buildings». Secondly we create a space for each building («Building Address X») and define the parent space for these as «Buildings». 

Further you could even define each room in the building in a similar way as a space with parent space as «Building Address X».

Then you add points in the appropriate places - most likely in the space that fits the location best, i.e. temperature sensor as Point Temperature in Buildings/Building Address 2/Kitchen.

You could know have a data structure looking like this:

Space: «Buildings» 
        Space: «Building Address 1» 
                Space: «Kitchen» 
                        Point: "KitchenCorner"
                                Signal: {temperature: "22"}
                        Point: "KitchenDoor"
                                Signal: {temperature: "21"}
                Space: «Office» 
                        Point: "OfficeSouthWall"
                                Signal: {temperature: "19"}
                        Point: "OfficeDoor"
                                Signal: {temperature: "18"}
        Space: «Building Address 2» 
                Space: «Kitchen» 
                        Point: "KitchenCorner"
                                Signal: {temperature: "22"}
                        Point: "KitchenDoor"
                                Signal: {temperature: "21"}
                Space: «Office» 
                        Point: "OfficeSouthWall"
                                Signal: {temperature: "19"}
                        Point: "OfficeDoor"
                                Signal: {temperature: "18"}

As you see this becomes a very logical structure for your data analysts and front-end developers to work with. All accessible through our GraphQL API´s