What Is Sufficient Location Accuracy?
January 28, 2010 2 Comments
I wanted to post a few things about location accuracy, since that’s one of the key aspects of any location tracking solution.
First of all, you don’t want to buy a gun that doesn’t shoot straight. So you want to make sure the location system produces sufficient accuracy for your use case.
Then again, you can’t have it all: you can’t have inch-level accuracy throughout a multi-floor enterprise campus without investing millions and millions of dollars. Accuracy and cost go hand-in-hand in many cases: If you want inch-level tracking, be prepared to install expensive UWB or such infrastructure, and lots of it. Then again, there are fairly low-cost solutions for achieving very high accuracy in selected, even fairly large areas.
The key is to find a cost-effective solution that solves the use cases you’ve determined.
Accuracy for finding assets and people
For finding assets and people in an enterprise, you can live with a high-quality Wi-Fi network. For example, a Wi-Fi network that’s planned with voice in mind typically has enough access points to support this use case. With some Wi-Fi RTLS engines on the market and a well-designed, dense Wi-Fi network, it is possible to reach a room-level granularity up to 75-95% of the time enterprise wide. This is perfectly OK for a typical asset and people tracking case. If the asset is located on the next room down the hall one or two times out of ten, you will still find them quickly.
However, be careful since the location accuracy between different Wi-Fi location engines varies a lot – even if you have a very dense Wi-Fi network. You don’t want the location system to show the assets on an incorrect floor, or floating in the air far outside the building, for example. Perhaps suprisingly, the “floor hopping” issue is something several Wi-Fi location engines suffer from.
And it’s not just about the number of access points when it comes to accuracy of a Wi-Fi location system, it’s also about the placement of the WLAN access points (APs). If you have 10 APs placed right next to one another, the accuracy will be as bad as with just one AP. Ideally, some of the APs should be placed in the corners of the building, and staggered on different floors. This is not mandatory, but for achieving maximum granularity with Wi-Fi tracking it helps.
If you already have a Wi-Fi network, it simply doesn’t make much sense to me to deploy another infrastructure to find assets or people.
Accuracy for Staff Safety
In healthcare, staff safety is a common application for RTLS. The typical use case is “someone is in trouble ==> panic button/switch is pressed/pulled on the tag ==> an alarm with location information is sent to nearby personnel”.
For this also, tracking with just a good quality Wi-Fi network is typically good enough. Those who assist the person in trouble will find the correct room most of the time, and even if not, it’ll typically be the next room over (and if someone is being attacked, you’ll hear it). But if you want to be sure of the correct room the first time around, you might want to install extra infrastructure in the rooms to ensure high-level room accuracy.
Accuracy for Process Optimization / Workflow Automation
Process optimization and workflow automation to me means optimizing the processes either by analyzing history data, or in real-time, using information about who is/was where, and for how long, etc.
This may require precise information about the rooms the people have been in, and there may be little tolerance for error.
If the error tolerance is low, you want to deploy extra infrastructure to the operating rooms in a hospital, for example, to ensure high accuracy there. The rest of the hospital campus area may be fine with the granularity provided by standard Wi-Fi RTLS.
As said, there are systems out there that do both Wi-Fi RTLS and provide extra infrastructure (such as infrared transmitters) for areas requiring the highest degree of accuracy. Of course, you can mix-and-match different systems together, but the deployment, integration, and system maintenance may become a bit costly and time-consuming.