# Architecture Overview

OpenSensorHub's (OSH) modular and flexible architecture allows solving many different use cases related to sensor data collection, harmonization, processing and distribution/sharing.

OSH core components implement a generic data model and an efficient streaming and historical data management engine that can accomodate any sensor type, while add-on modules provide specific functionality, tailored to specific use cases or sensor kinds.

The main OSH components are shown on the following diagram:

Overall Architecture Diagram

# Core Components

The following components are part of the core engine and are thus present in all OSH deployments:

# Event Bus

The event bus enables asynchronous one-to-many messaging between components via a publish/subscribe paradigm. This is an essential component of OSH since many things in OSH are event-based and reactive.

# Federated Database

The federated database is a unified queryable interface allowing access to all data stored by OSH storage modules.

It allows data consumers such as services and APIs to obtain their data in a unified manner. This is true for any storage type and/or any number of underlying storage backends that are used to persist and historize data.

# System Registry

The System Registry is a management component for modules adding new Systems (e.g. sensors, actuators, sensor networks, processes) to an OSH hub, such a sensor drivers.

In particular, the System Registry handles the following aspects:

  • System state management (across restarts)
  • Validation and forwarding of events produced by data producers to the event bus
  • Dispatching of new events to the event bus when state changes are detected
  • Reception of commands and distribution to the target system
  • Automatic persistence of metadata (with full historization) and real-time data/commands (configurable)

# Processing Engine

The processing engine provides functionality to execute processing chains in different modes:

  • Stream processing mode to process real-time data flows (observations) into other derived data flows
  • On-demand processing mode to process data on-demand, when triggered by an external action (typically when requested from a service interface)
  • Batch processing mode to process or re-process archived data in batch

Processing chains are made of atomic processing components that are provided as add-ons.

# Add-on Components

Add-on components can be included at build time in a given OSH node distribution or they can be installed later using the new dynamic deployment features built on OSGi.

# Real-Time System Drivers

Real-time System Drivers are add-ons implementing the System Driver API and responsible for pushing real-time (or quasi real-time) data into OSH by adapting a data feed coming from external sources. Drivers can be:

  • Device drivers connecting directly to a physical device such as a sensor, an actuator, a digital system of any kind
  • Data feed drivers connecting to a network data feed in a non SWE format, e.g.
    • A Kafka feed flowing proprietary data
    • An AVL data feed over TCP produced by an existing AVL data aggregation system
    • A video data feed produced by a network camera
    • etc.

# Database Connectors

Any type of datastore can be used to persist data generated by OSH if the proper connector, implementing OSH Datastore API, is developed. Virtually all kinds of storage backends can be supported, for example:

  • Embedded object databases (e.g. H2 MVStore, Perst)
  • SQL databases (e.g. PostgreSQL, SQLLite, Oracle)
  • Distributed NoSQL data stores (e.g. Elastic Search, MongoDB)
  • Proxies for remote data stores (e.g. proprietary web services or APIs providing access to observation archives)
  • File collections (e.g. NetCDF files)
  • etc.

A single OSH hub can be configured with multiple databases, possibly mixing different kinds of storage backends. This provides full flexibility when a single hub is used to aggregate several existing data sources that are in their own legacy datastore. It also allows the administrator to pick the best database implementation for a given kind of dataset (e.g. think of specialized databases for video or point clouds for instance).

Once one or more databases are configured on the hub, a component called the Federated Database exposes the content of all these separate (possibly mixed-types) databases through a unified read-only interface. This allows other components to discover and read any data from the databases without knowing the content of each of them.

As we said previously, the Federated Database is read-only. This means that writing must be done by connecting directly to a specific database. Any OSH module that requires writing information to the OSH persistence layer is typically associated to one of the configured databases via configuration.

For examples, transactional web services and API typically write to a specific database, that can be either dedicated to that service or shared among multiple services. can request direct access to one of the configured database. However, System Drivers typically don't require a direct connection to the database, but rather delegate this job to the System Registry.

Other components such as

# Processing Modules

Processing modules provide one or more processing components that can be run standalone or as part of a larger processing chain. Processing modules can easily be created and added to an OSH node by implementing the Processing API to solve problems as various as:

  • Statitics and data summarizations
  • Quality assurance and control (QA/QC)
  • Geolocalization and other geospatial computations
  • Artificial Intelligence and Machine Learning (AI/ML)
  • Computer Vision and Video Processing (CV)
  • etc.

Processing modules can be developed in pure Java or can wrap existing libraries developed in other languages (e.g. OpenCV, OpenAI, TensorFlow, Orekit, etc.)

# External APIs and Services

External APIs and Services provide communication interfaces allowing the exchange of data in and out of an OSH node.

Several HTTP based APIs and services are provided either as part of OSH Core or maintained by the core team:

  • OGC Sensor Observation Service (SOS), including transactional support (SOS-T)
  • OGC Sensor Planning Service (SPS) and our custom extension for registering a remotely taskbable sensor (SPS-T)
  • SensorWeb API
  • SensorThings API

MQTT bindings are also available for publishing and subscribing to real-time data as an extension to both SensorWeb API and SensorThings API.

Many more can be developed as add-ons such as the video transcoding service that was added recently.

Last Updated: 10/13/2021, 10:18:26 PM