The cutting-edge Semantic Web of Things

CUSP (the Computational Urban Sustainability Platform) is designed to optimise energy consumption – with the ultimate goal of helping you reach net zero. With an immersive 3D viewer and data visualisations, it provides the necessary tools needed to understand and reduce overall energy usage. As an immersive decision support tool built to enhance understanding of energy usage within buildings and optimise energy outputs, CUSP enables interactive monitoring and informed decision making through an intuitive web User Interface, forming the basis for the third generation of web portals: the semantic Web of Things.

An essential toolkit for a smart city manager

This toolkit represents an essential asset for a smart city manager, providing value-added services to maintain the consistency of the Digital Twin. The modules can be programmed to activate and make decisions with automated workflows, reducing the amount of time and in keeping the real-world Digital Twin in good shape and enabling it to achieve full potential.
CUSP can manage large volumes of real-time or time-series based data through semantic models such as ontologies, including BIM. The core of CUSP consists of:
  • a semantic middle-ware, powered by AI
  • various AI simulation, prediction and optimisation modules

All-rounded city visualisation

A CUSP user is also able to geo-locate buildings in through a hierarchical directory and switching the focus from one entity to another smoothly. The user can also filter the visible interface layers, toggle specific categories of buildings, zones, floors and spaces, and visualise data from sensors deployed in each area. When selecting a particular entity, CUSP displays an all-rounded visualisation dashboard of a modelled entity, which includes data charts for energy and similar chart views for water and gas data.

Rich selection of data formatting and output options

The entity dashboard is capable of handling any input sensor data, providing a value and a unit, such as Energy Consumption – kWh, modelling the data into an ontology running in the background as it comes through. On the data-rich widgets, users can manipulate and interact with data in real-time, through various controls which are used to manage the output results to fit the needs of the user. The users can adjust scales, compute averages, filter time periods of interest, export the data in CSV, PDF and other formats, and much more!

Real-time data monitoring and alerts

The system also responds to events, drawing in events from incoming data such as sensor readings into the platform. Alternatively, we can also draw in events from alternative sources like social media. Depending on the outcome of an event, the platform can orchestrate Artificial Intelligence models, which the CUSP platform users can easily conceive and deploy. An Artificial Intelligence or data-driven model or a simulation model is integrated into the platform, automatically calling it. The users can even incorporate a data-driven model that is automatically labelled to be run by the platform or generate its data-driven models in a semi-automated way. A button allows the user to tell the platform to create a data-driven model from the existing data. Most of the prediction and optimisation information is accessible from the user interface into the platform, including the data for streets, retrieved from a set of sensors deployed in a particular smart city area (noise, traffic, pollution).

Scalable, portable, versatile…

The CUSP platform can also be deployed in the cloud swiftly, enabling a long-term vision for sustainability and reliability in your organisation. Most of the underlying technologies for the CUSP components are open source, and many cloud service providers can now provide instances of these components.