Determining building occupancy rates from multiple datasets

An apparatus for determining occupancy of a building, the apparatus comprising:

• a processor;
• and
• memory comprising computer-executable instructions that, when executed by the processor, cause the processor to perform operations, the operations comprising:
• receiving a request to determine the occupancy of the building at a time segment in the past;
• obtaining data points for potential occupants of the building, the data points each having a collection data source, a probability of occupancy in the building, an identity that corresponds to a given potential occupant, and a timestamp;
• determining an individual probability that the given potential occupant of the potential occupants is in the building during the time segment by:
• gathering the data points within the time segment requested for the given potential occupant of the potential occupants such that the data points gathered only identify the given potential occupant;
• averaging each of the probability of occupancy for the data points of the given potential occupant to obtain the individual probability that the given potential occupant was in the building during the time segment;
• determining individual probabilities for each of the potential occupants during the time segment;
• in response to determining the individual probabilities for each of the potential occupants during the time segment, adding together the individual probabilities for each of the potential occupants during the time segment to obtain a total of the individual probabilities;
• and
• dividing the total of the individual probabilities by an amount N, which is a number of occupants that should be in the building during the time segment, to obtain a building probability of occupancy for the building.

A computer program product, tangibly embodied on a computer readable medium, for determining occupancy of a building, the computer program product including instructions that, when executed by a processor, cause the processor to perform operations comprising:

• receiving a request to determine the occupancy of the building at a time segment in the past;
• obtaining data points for potential occupants of the building, the data points each having a collection data source, a probability of occupancy in the building, an identity that corresponds to a given potential occupant, and a timestamp;
• determining an individual probability that the given potential occupant of the potential occupants is in the building during the time segment by:
• gathering the data points within the time segment requested for the given potential occupant of the potential occupants such that the data points gathered only identify the given potential occupant;
• averaging each of the probability of occupancy for the data points of the given potential occupant to obtain the individual probability that the given potential occupant was in the building during the time segment;
• determining individual probabilities for each of the potential occupants during the time segment;
• in response to determining the individual probabilities for each of the potential occupants during the time segment, adding together the individual probabilities for each of the potential occupants during the time segment to obtain a total of the individual probabilities;
• and
• dividing the total of the individual probabilities by an amount N, which is a number of occupants that should be in the building during the time segment, to obtain a building probability of occupancy for the building.