A Python-Django web application enabling users to upload, share, and display data from their environmental monitoring sites via the app's ODM2 database. Data can either be automatically streamed from Internet of Things (IoT) devices, manually uploaded via CSV files, or manually entered into forms.
When using a number of the same Sensor Type, and bringing up a Time Series Visualization page and adding more series to the graph - the individual graphs are not uniquely identifiable back to the source sensor.
All that is identified is the generic type of sensor and the individual UUID. See snapshot below for 5 temperature sensors - 4 of them DS18s
For the front page with mini-TSVs, the notes section can be used to identify individual sensors within a group of the same sensor type. eg DS18a DS18b DS18c
For the TSV page I would expect that the induvial graphs be identified with a human readable identifier - eg a sensor nickname.
When using a number of the same Sensor Type, and bringing up a Time Series Visualization page and adding more series to the graph - the individual graphs are not uniquely identifiable back to the source sensor.
All that is identified is the generic type of sensor and the individual UUID. See snapshot below for 5 temperature sensors - 4 of them DS18s
For the front page with mini-TSVs, the notes section can be used to identify individual sensors within a group of the same sensor type. eg DS18a DS18b DS18c For the TSV page I would expect that the induvial graphs be identified with a human readable identifier - eg a sensor nickname.