Adapt information

1. General information

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1.1.    ID: unique identity number of the source based on the number of the source as it appears in the database Opisense

1.2.    Name: name of the source. This name will be visualised in the platform Opisense

1.3.    EAN number: EAN number of the source if gas or electricity

1.4.    Meter number: unique meter number of the device providing the source

1.5.    Energy usage: permit to detail the usage of the energy flow (e.g. lighting)

1.6.    Localisation: location of the source in the site

1.7.    Timezone: timezone of the data of the source

1.8.    Tags: define a tag for the data sources. This functionality is also present for virtual sources. By using the tag, one can easily filter sources. Important: the tag is a free text field, but the text can only consist out of one word, so one can’t split words. By typing in the tag field, a list of already used tags will pop-up.

2. Notifications

This tab permits to configure notifications in case Opisense detects a data gap and to view a history of alerts.

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2.1. Configure a notification by clicking on « Add another notification » and fill in the fields :

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2.1.1. Send: choose the medium to send notifications
- Email: a notification will be send via mail
- Event: an event will be created in Opisense
- HttpPost: a notification will be send via a post system https
- SMS: a notification will be send via SMS

2.1.2. To: choose to who the notification should be send
- Custom: enter the email address or phone number in the field “info”
- User: choose a user of Opisense in the field “info”

2.2. Clear alert history: delete all notifications

2.3. Trigger status check: verify on demand whether data sources are received

 

3. Configuration

One can verify the configuration of the unit and the granularity. Please not that Opinum should be consulted before changing the parameters of the configuration.

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4. Data quality

The tab Data quality permits to verify the integrity of the data sources. In case a data gap is detected or in case incoherent data is detected, Opisense will apply a data reconstruction mechanism.

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4.1. Picking list: choose the variable related to a source for which one want to control the data quality

4.2. Graph:

4.2.1. Green dots: raw data which appear in the database of Opisense.

4.2.2. Red lines: periods for which data is missing

4.2.3. Timeline: one can select a time period by zooming in or out, in order to have a more or less detailed overview

4.2.4. Reconstruction of data:
- Algorithm: one can choose an algorithm to reconstruct data
- Tolerance: parameter related to the algorithm “DailyPatternBased” which defines the level of deviation of the data as received in Opisense, to the expected data forecast based on the algorithm. If the deviation is more than the tolerance value, the platform will indicate the data as received as divergent.
- Preview: visualise the proposed reconstruction on the graph. The reconstructed data is indicated in colour orange.
- Save: one can save the reconstruction. From this point on, the divergent data is replaced by the reconstructed data.


5. Properties

In this tab, one can see the forms on the level of the source. Via this interface, one can add information in the forms. The forms themselves can be elsewhere created. This document provides documentation on how and where to create forms on source level.

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