Why Use Sensors for Workspace Design?

Workspace designers are wising up and using OpenSensors’ capabilities to optimise their usage of real estate

Workspace designers are using OpenSensors’ capabilities to enable their customers to optimise their usage of real estate, smart buildings deliver productivity and improved UX for employees.

Why use sensors for workspace design?

Designers turn to IoT technology and OpenSensors’ digital data layer to address the needs of the owners, facilities managers and building tenants. Innovative new IoT technology and OpenSensors’ data reports, alerts and dashboards provide designers with detailed understanding of how people are using the space vs. gut feel on building performance.

A game-changer for the industry

  • Winning more deals both for new development or re-fit of iconic buildings
  • Lower cost than manual surveys
  • Real-time information to facilities managers and even tenants
  • Private data combined with public
  • Understand Air Quality factors for building wellness assessments

Sensors to replace manual work

For the first time deployment and maintenance of smart IoT sensors have become a cheaper alternative to manual occupancy questionnaires and surveys, sensors can have sampling rates of anywhere between once every few seconds to once every 30 mins. This sensor data can be correlated with information from Building Management Systems (BMS) to provide richer context and considerable more insight than manual surveys. Common interfaces include BACnet, KNX and other major systems. These data not only can be combined with private building data but can also be combined with public data like outdoor pollution.

How does it work?

OpenSensors have built hardware, installation and network provider partnerships and relationships to help architectural firms implement smart IoT devices efficiently. We have found that the most successful IoT projects follow a phased implementation approach: Design Phase, Proof of Concept, Pilot, and Deployment. The design phase asks questions such as which sensors, who will be installing and maintaining the sensors. For Proof of Concept, a lab evaluation should include hooking up 5-8 sensors all the way through a gateway to data collection in the cloud. This will give enough real data to verify that the queries and the analytics are feasible. The Pilot Phase ensures that the sensors work at scale and that the gateway configuration has been made easy for the deployment specialists. A pilot phase should be about 40 sensors depending on the density of the sensors. At this point, you can scale up to the number of sensors and the bandwidth required for full deployment.

Practical Examples

Heat maps can help define predictable patterns of usage including peak demand for: * Desks – real-time information of which desks that are in use and which that are available * Conference rooms – Do you have the appropriate amount of meeting rooms, and are they of the right size? * Breakrooms – Where do tenants tend to go and hang out? Are some breakrooms over- or under-utilised? * Corridors and hallways (footfall monitors) – Are some paths through the offices more used than others? Why?

Sensors helps in pitching for new work in a world where people are aware of sensors and how they can drive revenue. Firms who have sensor capabilities have adopted data driven design methods which is replacing gut feel.

Emerging Areas of Practice

Using sensor data enables more accurate planning, and by making it available to occupants, you enable them to both change their behavior and allow them real-time insights and finer customization.

Integration

  • Digital scale models: OpenSensor data can be integrated with architects’ current CAFM systems and 3D rendering environments.
  • Intelligent / Reactive Environments: OpenSensors data can be integrated with displays for open desk notification.

Top 10 Reasons for Data Driven Design

A small investment in sensors to continually monitor desk usage, hallway traffic and room occupancy can yield a wealth of hard data to base your design decisions on.

Two of the biggest risks you face as an architect or space planner are:

  • overlooking a key problem in your design or
  • investing too much space or budget for one of the client’s goals, leading to less satisfactory solutions to other goals.

These are often two sides of the same coin: while experience counts for a lot it cannot always compensate for a lack of data about how the client is actually using the current space. A small investment in sensors to continually monitor desk usage, hallway traffic, and meeting room and break room occupancy can yield a wealth of hard data to base your design decisions on. This data allows the team to move past dueling hypotheses and get on the same page about real needs based on current usage patterns, which in turn makes the design and development process more efficient and allows the team to craft better solutions for the client’s needs within their space and budget constraints.