Project Aim


Loughborough University London (LUL), located on the Queen Elizabeth Olympic Park in east London, has experienced a surge in postgraduate students attending the campus to study. Due to the running cost of a workstation and the opportunity to maximise the utilisation of space, the university intends to use a system where they can monitor the behavioural patterns for the utilisation of the workstations and meeting rooms.

The Challenge


LUL had experienced a substantial increase in the number of students attending the campus. Students have access to workstations located on three floors but there were noticeable differences in occupancy levels for the different areas- with some areas experiencing greater usage.

Meeting rooms were also available in different sizes for quiet study - though smaller groups were often utilising large meeting rooms. LUL identified that by proper use of the spaces they would be able to increase capacity without the need for significant disruptive expansion.

The Solution


The solution proposed by HSSMI included:

HSSMI carried out a six-month feasibility study at LUL. HSSMI provided occupancy sensors and the data infrastructure for aggregated data on utilisation through a dashboard, following the sensor installation.

In total, fifty-four desk and twenty-two meeting room sensors were installed across the three floors. The desk sensors installed under the desks detected a person by using a combination of infrared and temperature readings.

An accompanying dashboard provided a live view of desks and meeting rooms that were available or occupied on a floor layout. Available on a shared screen this would allow students to easily discover an available workstation.

Another view provides trends of utilisation of a workstation over a duration of time. This helped managers to spot under or over utilised areas and make changes to desk utilisation.

Duration


January 2018 - June 2018 (Six months)

Project members


HSSMI and Loughborough University London

Project Team


Enrique