Automatic cognitive analysis of elevators to reduce passenger wait time

A control system of a building elevator system comprising:

• a processor;
• and
• a memory comprising computer-executable instructions that, when executed by the processor, cause the processor to perform operations, the operations comprising:
• controlling a first elevator group composed of one or more elevator systems configured to serve a plurality of floors within a first sector, the one or more elevator systems in the first elevator group further comprise a first elevator car;
• controlling a second elevator group composed of one or more elevator systems configured to serve a plurality of floors within a second sector, the one or more elevator systems in the second elevator group further comprise a second elevator car;
• monitoring usage of the first elevator group;
• monitoring usage of the second elevator group;
• reassigning at least one of the one or more elevator systems of the second elevator group to the first elevator group in response to the usage of the first elevator group and the usage of the second elevator group;
• determining a pattern in the usage of the first elevator group using machine learning over a period of time defining a learning period;
• and
• detecting an occurrence of the pattern in the usage of the first elevator group using machine learning;
• wherein the one or more elevator systems of the second elevator group is reassigned to the first elevator group when the occurrence of the pattern is detected.

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

• controlling a first elevator group composed of one or more elevator systems configured to serve a plurality of floors within a first sector, the one or more elevator systems in the first elevator group further comprise a first elevator car;
• controlling a second elevator group composed of one or more elevator systems configured to serve a plurality of floors within a second sector, the one or more elevator systems in the second elevator group further comprise a second elevator car;
• monitoring usage of the first elevator group;
• monitoring usage of the second elevator group;
• and
• reassigning at least one of the one or more elevator systems of the second elevator group to the first elevator group in response to the usage of the first elevator group and the usage of the second elevator group;
• determining a pattern in the usage of the first elevator group using machine learning over a period of time defining a learning period;
• and
• detecting an occurrence of the pattern in the usage of the first elevator group using machine learning;
• wherein the one or more elevator systems of the second elevator group is reassigned to the first elevator group when the occurrence of the pattern is detected.