Spatio-Temporal Key Performance Indicators
AssigneeInternational Business Machines Corporation
InventorsBrian P. Byrne, Adam R. Holley, Brian T. Lillie
Life of this patent
Estimating the term…
Abstract
An approach is provided for providing spatio-temporal key performance indicators (ST-KPIs). The approach tracks metrics, such as crowd density, pertaining to a number of locations. The tracking is performed over time to develop a history of past values that correspond to the metrics. The history is used to predict a trend of future metrics at the locations with the trend resulting in predicted future values that correspond to the metrics at the locations. In this manner, the ST-KPIs reflect the predicted future values at the various locations that are being monitored. A city view is displayed to a user showing the current and predicted values at defined ST-KPI locations throughout the city.
Claims20
A method, in an information handling system comprising a processor and a memory, to provide spatio-temporal key performance indicators (ST-KPIs), the method comprising:
- tracking one or more metrics pertaining to a plurality of locations, wherein the tracking is performed at a plurality of times, and wherein the metrics are obtained from one or more sensors that perform the tracking in near-real-time, the tracking resulting in one or more current values;
- developing a history of a plurality of past values that correspond to the metrics, wherein the history is developed over a period of time;
- predicting, based on the history the plurality of past values, a trend of future metrics at the plurality of locations, wherein the trend results in a plurality of predicted future values that correspond to the metrics;
- and
- displaying a city view of a plurality of ST-KPIs, wherein the displayed ST-KPIs indicate the current value pertaining to a current set of the metrics at each of the plurality of locations within a city and the predicted future values at one or more of the plurality of locations in the city.
An information handling system comprising:
- one or more processors;
- a memory coupled to at least one of the processors;
- a set of instructions stored in the memory and executed by at least one of the processors to provide spatio-temporal key performance indicators (ST-KPIs), wherein the set of instructions perform actions of:
- tracking one or more metrics pertaining to a plurality of locations, wherein the tracking is performed at a plurality of times, and wherein the metrics are obtained from one or more sensors that perform the tracking in near-real-time, the tracking resulting in one or more current values;
- developing a history of a plurality of past values that correspond to the metrics, wherein the history is developed over a period of time;
- predicting, based on the history the plurality of past values, a trend of future metrics at the plurality of locations, wherein the trend results in a plurality of predicted future values that correspond to the metrics;
- and
- displaying a city view of a plurality of ST-KPIs, wherein the displayed ST-KPIs indicate the current value pertaining to a current set of the metrics at each of the plurality of locations within a city and the predicted future values at one or more of the plurality of locations in the city.
A computer program product stored in a computer readable storage medium, comprising computer instructions that, when executed by an information handling system, causes the information handling system to provide spatio-temporal key performance indicators (ST-KPIs) by performing actions comprising:
- tracking one or more metrics pertaining to a plurality of locations, wherein the tracking is performed at a plurality of times, and wherein the metrics are obtained from one or more sensors that perform the tracking in near-real-time, the tracking resulting in one or more current values;
- developing a history of a plurality of past values that correspond to the metrics, wherein the history is developed over a period of time;
- predicting, based on the history the plurality of past values, a trend of future metrics at the plurality of locations, wherein the trend results in a plurality of predicted future values that correspond to the metrics;
- and
- displaying a city view of a plurality of ST-KPIs, wherein the displayed ST-KPIs indicate the current value pertaining to a current set of the metrics at each of the plurality of locations within a city and the predicted future values at one or more of the plurality of locations in the city.
Dependencies are inferred from the claim text.