I’m Danny Henley-Martin, Product Manager here at Willow, and I’m excited to announce changes to our revamped Time Series experience in the WillowTwin™ for Real Estate.
To recap for those new to Willow, WillowTwin™ is a ground-breaking software platform for buildings and infrastructure environments. It empowers owners and operators of these environments to make proactive, data-led decisions to reduce expenses, grow profits and better manage risk.
Real estate owners and operators can capture, validate, and action data across every project stage or real estate asset class through WillowTwin™. Time Series, a feature within WillowTwin™, allows you to investigate, compare, and analyse the data in your digital twin or portfolio over time.
The data shown in Time Series is made up from all the Internet of Things (IoT) and Operational Technology (OT) data sources that are connected to your WillowTwin™. Think HVAC, energy and utilities, people and occupancy, vertical transport, air quality and weather, just to name a few.
The key highlights in this Time Series update can be viewed in the video below, while I will go into a bit of detail on a few key highlights in this article.
Improved user experience for tickets, insights and portfolio views
Our active users provided us with invaluable feedback over the past few months, and together with some fresh eyes in product analytics and building automation we’ve been able to refine the experience. For us, the improved user friendliness is the real highlight of Time Series.
In particular, we wanted to make it easy to bring up the details inside a digital twin, including tickets or insights, and the relationships between different digital twins within a single portfolio, all without having to leave the Time Series view.
Improvements in representing Time Series data
Another aspect I want to share is the actual graph and display of Time Series data itself. There are two challenges we need to consider when representing this type of data
- Firstly, different sources can only collect data at different rates, for example, some every 5 minutes and some every 15 minutes. This presents a challenge as we need to clearly display data over time, but also at different levels of granularity.
- Secondly, we can only fit so much data on a screen. Due to the nature of displays, screen sizes vary from mobile devices to desktops and laptops.
To work around this, we natively aggregate (meaning we add up and average) each sample of data at set levels of granularity, depending on the time range that has been selected.
Let’s see this in action…
To make this easier to understand, let’s use an example. Let’s say you want to view the zone air temperature sensor for a variable air volume (VAV) that feeds a room, and the people count sensor for the same room over the last 30 days.
The VAV data source is a typical BACnet network that can fetch data every 15 minutes, and the people count sensor is a newer IoT device that sends data every minute.
Time Series will show the last 30 days with a granularity of 30 minutes (i.e every 30 minute block from the last 30 days — a total of 1,440 blocks) for both data points selected. It will aggregate the samples found within each 30 minute block to produce the average, minimum, maximum, and count values for the data points.
Like most Time Series tools, there is a vertical marker that follows your cursor over the data showing the values for that precise point. We enhanced this by expanding the thickness of the vertical marker to be the actual width of the granularity chosen, so that it is clear which aggregate block you are viewing data for. This is especially important when doing retrospective investigations or analysis in Time Series.
Our team is proud of their work to bring you these little-known changes in addition to the more obvious ones, like the quick access time range selections and maximising space for data displays.
We can’t wait to see you jumping into the new Time Series and take full advantage of what WillowTwin™ has to offer to property, facility, and sustainability managers and owners alike.
And be sure to send through your feedback to our Customer Success teams so that we can continue to bring even greater experiences to you!