Have you ever seen a paper checklist in a toilet room? They often hang next to the door, with date, time and signature. Often they are filled in groups of 3 or 4 notes underneath each other, which look suspiciously similar.
From dumb to smart washrooms and toilet groups
These checklists are a good example of yesterday’s washroom: a routine, uncontrolled and potentially unnecessary check on a piece of paper. The information on the paper is only processed and evaluated when the managers get it at the end of the week. And it only serves to check if something has not been fully completed.
Evidence based toilet lady
How different the experience was when washrooms had a toilet lady at the door! The presence of this lady served several purposes: she welcomed you, could solve problems for you, and she kept an eye on how often a washroom was used, and could, based on this, decide when she had to clean. This was true evidence-based cleaning.
Digital toilet groups with sensors
For a restaurant it can still pay to use a toilet lady. But for (semi) public washrooms it is too expensive to use a physical person. And this is what the internet of things can solve. Wireless sensors enable us to digitally record what the toilet lady used to do: how many people have used the washroom since it was last cleaned, how much toilet paper is there and how much is left on the towel roll, and do the trash cans already need to be emptied? In short: evidence-based cleaning.
Big Data in toilet groups and washrooms
But it gets even better: digital recording of the measurements means that we can analyze the historical data, in order to discover trends. And if the data sets are large enough, we can use big data analysis to make real-time predictions. The end goal: optimization (a simple example: making a round along full trash cans instead of making a round because it is six o’clock).
Read here more about Internet of Things solutions with FacilityApps.