US 2022/0092544 A1 · COLLABORATION SPACE IDENTIFICATION USING SENSORY ALIGNMENT

Abstract

In an approach for collaboration space identification using sensory alignment, a processor collects scheduling information and expected device usage from historical log files for a forthcoming time period for a business. A processor determines historical and expected energy consumption from the scheduling information and expected device usage for the forthcoming time period. A processor determines an expected power usage based on the historical and expected energy consumption for the forthcoming time period. A processor monitors net incoming electricity to compare against the expected power usage for the forthcoming time period. A processor determines a level of significance between each location of the business and each application expected to be used in the forthcoming time period. A processor builds a model based on each level of significance determined that determines a probability of whether a respective location is optimal for collaboration.

Claims20

Dependent claims

A computer-implemented method comprising:

collecting, by one or more processors, scheduling information and expected device usage from historical log files for a forthcoming time period for a business;
determining, by the one or more processors, historical and expected energy consumption from the scheduling information and expected device usage for the forthcoming time period;
determining, by the one or more processors, an expected power usage based on the historical and expected energy consumption for the forthcoming time period;
monitoring, by the one or more processors, net incoming electricity to compare against the expected power usage for the forthcoming time period;
determining, by the one or more processors, a level of significance between each location of the business and each application expected to be used in the forthcoming time period;
and
building, by the one or more processors, a model based on each level of significance determined that determines a probability of whether a respective location is optimal for collaboration.

4 more elements

A computer program product comprising:

one or more computer readable storage media and program instructions stored on the one or more computer readable storage media, the program instructions comprising:
program instructions to collect scheduling information and expected device usage from historical log files for a forthcoming time period for a business;
program instructions to determine historical and expected energy consumption from the scheduling information and expected device usage for the forthcoming time period;
program instructions to determine an expected power usage based on the historical and expected energy consumption for the forthcoming time period;
program instructions to monitor net incoming electricity to compare against the expected power usage for the forthcoming time period;
program instructions to determine a level of significance between each location of the business and each application expected to be used in the forthcoming time period;
and
program instructions to build a model based on each level of significance determined that determines a probability of whether a respective location is optimal for collaboration.

5 more elements

A computer system comprising:

one or more computer processors;
one or more computer readable storage media;
program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
program instructions to collect scheduling information and expected device usage from historical log files for a forthcoming time period for a business;
program instructions to determine historical and expected energy consumption from the scheduling information and expected device usage for the forthcoming time period;
program instructions to determine an expected power usage based on the historical and expected energy consumption for the forthcoming time period;
program instructions to monitor net incoming electricity to compare against the expected power usage for the forthcoming time period;
program instructions to determine a level of significance between each location of the business and each application expected to be used in the forthcoming time period;
and
program instructions to build a model based on each level of significance determined that determines a probability of whether a respective location is optimal for collaboration.

7 more elements

Dependencies are inferred from the claim text.

Collaboration space identification using sensory alignment

Life of this patent

Collaboration space identification using sensory alignment

Life of this patent

Abstract

Claims20