SenseAgent Integrations

Built in Application Programming Interfaces

Overview

The SenseAgent IoT platform is designed from the ground up with easy integration with other devices and systems.

REST API

The SenseAgent Cloud application has full documented REST API which provides access to third party applications and systems  to all of the data collected and processed by sensors and gateways. API endpoints can be queried by data viz platforms to retrieve historical data or real time data from sensors.

Authentication is primarily via oAuth but, can be done using other common authentication systems as requested.

Building Management Systems

The IoT Gateway devices which mange SenseAgent sensors can be connected to most common Building Management System (BMS). When connected to the BMS’s network the gateway can be queried, or push data points into the BMS to enable it to make more informed decision about how to operating HVAC equipment based on metrics such as the occupancy of a room.

Realtime Socket API

The Levaux IoT Middleware Solution includes a fully  fledged API for third party applications to connect to either the gateway devices locally or the cloud middleware SSL connections. Using this API third party applications are able to receive real time messages from sensors, and command sensors directly. This API is available for almost all platforms and programming languages  including but not limited to:

Platforms: iOS, Android, Windows, MacOS, Linux

Languages: C++, C#, Java, JavaScript, Objective-C, PHP, Python, Ruby

Building Information Model (BIM)

The SenseAgent IoT solution is easily integrated into common BIM tools to enable data from sensors to be included in building information model to create realtime 3D visualisations.

Virtual Reality

Using the building information model (BIM) and virtual reality headsets building walk through’s can be conducted to evaluate how a space is operating and identify faults remotely.

Augemented Reality

Using augmented reality glasses sensor data can be displayed within the space as a person moves through it giving additional context when analysing how a space is operating and identifying potential improvements.