Current projects

Read about the current projects carried out by Big-DEAL.

Holistic Digital Solution (HDS) for secure and affordable Building Management Systems (BMS)

Building Management Systems (BMS) are computer-based systems that monitor and control electro-mechanical functions in facilities (hospitals, airports, universities, shopping centres, public buildings, etc.) easing the day-to-day management. This project aims to develop a Holistic Digital Solution (HDS) for secure and affordable BMSFind out more about this project.

IoT-enabled Platform for Rail Assets Monitoring and Predictive Maintenance (i-RAMP)

This project aims to develop an IoT-enabled Platform for Rail Assets Monitoring and Predictive Maintenance (i-RAMP). The i-RAMP system will employ techniques in Artificial Intelligence (AI), IoT and Augmented Reality (AR) to enable predictive and preventive maintenance. Find out more about this project.

IoT-enabled Real-time Energy Analytics Platform (i-REAP) for commercial buildings

i-REAP will develop a one-step solution to measure, predict and optimise energy consumption in commercial buildings, utilising the latest in Artificial Intelligence (AI) and Internet-of-Things (IoT) based hardware, to develop a complete “whole building approach”. Find out more about this project.

Real-time Emission Visualisation (REVIS) for eco-friendly travel behaviours

Nearly 40 million people in the UK are living in areas where illegal levels of air pollution from diesel vehicles risk damaging their health. REVIS aims to provide a step-change in decision-making and behavioural change for emissions reduction, and will enable local authorities to devise and test emission reduction policies tailored to their communities. Find out more about this project.

Integrating conversational AI and augmented reality with BIM for faster and collaborative on-site construction assemblage

The impact of poor productivity within the construction industry is a global problem. The construction industry must transform its methods of construction and adopt digital technologies in order to overcome this problem. However, in reality, on-site frontline workers spend more time interfacing with BIM tools than they spend on completing the actual assembly or retrofitting tasks. This research project will look into the introduction of advanced Natural Language Processing and conversational AI for enabling on-site frontline workers to verbally communicate with BIM systems. Find out more about this project.

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