Desk Occupancy and Space Utilisation
New thinking : New solutions
COVID-19 has compelled organisations to think differently, particularly in relation to office occupancy. The consequence is that there has never been a more prominent spotlight on following best practices.
Whereas, focus may have historically been on flexible working environments and cost-efficient space utilisation, staff welfare is now the core consideration. This encompasses practices relating to maintaining social distancing, hot desking and locality over-crowding, to name just a few.
IoT Occupancy Solutions
The good news is that IoT provides solutions for all of these occupancy challenges, which can be implemented simply and more cost effectively than traditional BMS solutions.
Here is how it works:
- Wireless sensors are deployed beneath desks / across facilities (in this example to the right a wireless occupancy sensor).
- The sensors measure usage in each locality / individual desk.
- Real-time data from the sensors are passed via secure wireless gateways (LoRaWAN) to the cloud.
- The cloud data can then be monitored by authorised users through secure online dashboards and incorporated into your working processes.
- Customisable alerts can be configured (e.g. to advise you of threshold breaches), which can be distributed by email or via a RESTful API to another system (e.g. CAFM, BMS) or native mobile app.
One of many key benefits is IoT can allow the right information, insights and actions to be delivered to the right people at the right time. Consequently, when used to its full potential, it can free up time and resourcing and save money
– Greg Tutt, notiria
Assisting Analytics and planning
The historic IoT data is stored in the cloud and is available for organisations to use for analytics. This could be for management reporting, trend analysis and analytics for strategic planning.
In fact, many businesses have now integrated their “big data” into core business systems to improve processes, customer experience and beyond (see our article “Why companies should be investing in big data now”).