SenseAgent Benefits

Capital and Operational Savings for Buildings in an Integrated Solution

Overview

SenseAgent saves capital over traditional building systems while providing wireless infrastructure to tackle a range of inefficiencies within an asset.

Capital Savings

SenseAgent provides five smart core capabilities all at 50% of the capital cost of a traditional cabled lighting solution.

Operating Savings

SenseAgent is an enterprise management system that delivers value to Commercial Real Estate by creating intelligent environments which are: more sustainable by minimising energy consumption, more valuable as property if efficiently utilised and more productive because people perform better in an optimal environment.

Plug and Play

SenseAgent lighting control sensors are installed directly inline between ceiling GPO’s and luminaries. The lighting control sensors provides power to the luminaire as well as lighting control via common lighting control protocols (DALI, PWM, 0-10 volt). Sensors communicate using a wireless mesh so there is no requirement for expensive communication cabling and network infrastructure.

Multiple Applications

SenseAgent sensors replace existing lighting control solutions while offering additional functionality to cover a range of applications across the five core competencies of building operation lighting, climate, security, utilisation and safety.

Ease of Use

The SenseAgent Cloud Application is a web based application that can be accessed from any device anywhere in the world. It has been designed and built using modern user interface guidelines and technologies to be easy to use with minimal training.

Advanced Sensor

A single sensor measuring ten different metrics in an integrated architecturally designed ceiling fitting, eliminating the need for numerous vendors for the same capability.

Wireless Infrastructure

SenseAgent deployments provide buildings with dense wireless mesh networks. A routed Bluetooth mesh network with large bandwidth capability enabling your building assets to exploit future applications.

SenseAgent Competitive Advantage

  • Robust Communication Middleware

    Highly scalable proprietary low latency middleware for secure bidirectional communications. Providing a greater security and quality of service for controlling expensive physical assets. An advanced communication platform to future proof advancements in sensory applications.

  • Comprehensive Smart Building Solution

    A wireless sensor that performs five smart core capabilities Lighting, Safety, Climate, Security and Utilisation all at 50% of the capital cost of a traditional cabled lighting control solution. A single sensor measuring ten different metrics in an integrated architecturally designed ceiling fitting, eliminating the need for numerous vendors for the same capability.

  • Fully Integrated Solution

    An end to end engineered solution of electronic hardware coupled with a purpose designed middleware and a cloud interface for a fully vertically integrated “out of the box” system. A wireless building sensor system is designed to perform immediately upon deployment in brownfield or greenfield sites.

  • Dynamic Firmware

    Embedded hardware running unique dynamic firmware that loads operational schedule profiles from the cloud. A dynamic firmware that accepts schedule updates over the air makes a sensor system adaptable in changing the functional purpose making it more suitable for edge computing and process optimisation.

  • Autonomous Sensors

    Sensors perform autonomously without the need for constant cloud connectivity using weekly operational schedules and programs. The sensors sample data every second sharing it directly peer-to-peer over the mesh network for processing locally to control electrical equipment locally using logic based decision making.

  • Machine Learning

    Mesh network of sensors are managed by multi-point Gateway devices which supervise the commands on the network sensors and flow of data to the cloud. Data that is stored and processed at the edge, applying machine learning to generate knowledge to optimise the sensor behaviour directly.