Calculation and handling of event limits

Soobr offers event-based cleaning services. The execution of these services depends on the use of the space and is controlled by the achievement of the event limits.

Distinction of event-based cleaning services from normal cleaning services

• Normal cleaning performance is triggered when the cleaning time is reached.   For example, after a week at a weekly cleaning frequency.

• Event-based cleaning services can be triggered by two types:

  • Reaching the limit - If enough events have been received on the corresponding area,  the cleaning performance is triggered.

  • By a fallback value that  is time-based - without any other configuration, the fallback  corresponds to 1.5x the regular execution frequency

A service is event-based if:

• The area has  an assigned IoT sensor
• The cleaning category is event-based
• A limit  has been  assigned to the area

Event-Limits

The event limit is calculated on the area and is valid for the period of 24 hours. The current limit for an area is visible under the tour activities in the area analysis.

Event limit per day: Displays the currently used event limit per day. Depending on the cleaning frequency of the service type, the limit for the service type is then calculated on the basis of this value.

Suggested limits: Every night we calculate the possible event limit per area from the events of the past 21 days.

Manual setting of the event limit

The event limit can be set manually via the three dots (...) in the area analysis. Here the desired daily value must be set.

Learning the event limit

Event limits can be set for each area. They can be taught in the area analysis via the three dots (...).

As a basis, the events received over the last 21 days are summed up per area. Therefrom, the average per day is set as a value on the area and used as a further basis for the calculation of the individual cleaning services.

The event limit is only as good as the selected training period. If possible, there should be "normal" use of the areas in the 21 days.

Event Limit learning strategy

A teach-in strategy can be specified for each area type. This strategy influences two essential aspects of planning.

Limit: Depending on the strategy,  the limit can be increased or lowered.

Fallback: Depending on the strategy, the fallback execution date can be set sooner or later.

A learning strategy is defined by two corresponding multipliers, which are included in the calculation of the two values (limit/fallback date).

Available training strategies

Designation Teach-in strategy	Limits-Multiplier	Fallback-Multiplier
Standard	1.0	1.5
Standard with 2.5 Fallback	1.0	2.5
Cleaning on Event	0.1	1
Saving mode	1.2	2
Cleaning only on usage	0.1	5
Clean more when used	0.7	1.5