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DVM - Data Visualisation Module

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Project Links
Software GitHub Repository https://github.com/ds2-eu/dvm.git
Progress GitHub Project https://github.com/orgs/ds2-eu/projects/56

General Description

Purpose: DVM provides visualisation functionalities in order to enhance the presentation and communication capabilities and facilitate a better understanding of raw data by means of graphical analysis.

Architecture

The figure below represents the module fit into the DS-DS environment. DS2 DVM Architecturefits

Component Definition

This module has the following subcomponent and other functions:

  • Core (Designtime): User interface to define dashboards, configure data sources for widgets, access control, etc.

  • Core (Runtime): User interface for showing dashboards as well as a backend for data ingestion.

External Components Used - Data Source: Data may be streamed from use case partners or developers. Modules E2C and DDT can be configured to stream data to DVM.

  • Information Consumer
    • Data providers
    • Data consumers
    • Module developers

External Interaction - User:: DVM provides dashboarding functionalities to it's users. Users can create dashboards, configure widgets, manage data ingestion and view data using the created dashboards.

Screenshots

DS2 DVM Screenshots

Commercial Information

Organisation (s) License Nature License
bluebridgesolutions UG (haftungsbeschränkt) Open Source Apache 2.0

Top Features

1. Data visualisation: Visualisation of data for data producers and consumers.

2. Flexible configuration of dashboards: Adding of new charts for time series data and KPIs by configuration of widgets.

3. Enhanced visual analytics: Visualisation simplifies the analysis of data, trends and outlier detection for humans.

4. Visualisation of processing results: Modules like DDT produce data such as smoothing of sensor data. DVM is an easy way of visualizing such results.

How To Install

DVM is distributed as a docker image. To run a DVM container, first make sure that you have Docker installed on your machine.

Then run the following command: 

docker run -p 3000:3000 docker.bluebridgesolutions.de/dvm
This will download the image from BBS's docker repository and run the container exposing port 3000.

This concludes the installation. Once the container has started, you can access DVM's user interface by following the link http://localhost:3000/login.

Requirements

No specific requirements.

Software

A current Docker installation is required.

Summary of installation steps

  1. Setup Docker if not yet installed
  2. Run DVM container

How To Use

Open the user interface by following the link http://localhost:3000/login. Default credentials are username "admin" and password "admin". You will be prompted to set a new password which is recommended.

There, you can setup data sources as well as create and view dashboards as required.

For a further reference on how to create dashboards, please also refer to this documentation.

Other Information

No other information for DVM.

OpenAPI Specification

N/A

N/A