CHARGE MANAGEMENT

• US 20180198311A1
• Filed: 10/18/2017
• Published: 07/12/2018
• Est. Priority Date: 01/07/2017
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Abou Mahmoud, Alaa, Bastide, Paul R., Lu, Fang
• Application Number:
  US15/786,743
• Publication Number:
  US 20180198311A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance

Abstract

Disclosed aspects relate to charge management of a device. A first location-modification event of the device may be detected by a charge management engine. The first location-modification event of the device may indicate a first movement event of the device from an original location to a target location. A device charge pattern may be determined based on a set of profile data for a user. The device charge pattern may include a set of criteria that indicates to charge the device. Achievement of the set of criteria may be identified by the charge management engine based on the device charge pattern. Achievement of the set of criteria may relate to the first location-modification event. An indication to charge the device may be provided by the charge management engine. A charge may be received by the device.

Claims

1. A computer-implemented method for charge management of a device, the method comprising:

detecting, by a charge management engine, a first location-modification event of the device which indicates a first movement event of the device from an original location to a target location;

detecting, corresponding to detecting the first location-modification event of the device which indicates the first movement event of the device from the original location to the target location, that the device is expected to move from the original location to the target location, wherein the original location includes a current location;

collecting, by the charge management engine, a set of profile data for a user, wherein the set of profile data comprises temporal data, biometric data, calendar data, user-provided input data, and a set of derivative data of a group of like users similar to the user;

analyzing, using a machine-learning technique, the set of profile data for the user to determine a device charge pattern which includes a set of criteria that indicates to charge the device, wherein the set of criteria comprises expected movement of the user to the target location and anticipated power requirements of the device upon arrival of the user at the target location;

identifying, by the charge management engine based on the device charge pattern, achievement of the set of criteria which relates to the first location-modification event;

ascertaining, by the charge management engine, that the device charge pattern indicates a temporal period for which the device is expected to remain in the current location;

comparing, with a threshold temporal period, the temporal period for which the device is expected to remain in the current location;

computing that the temporal period exceeds the threshold temporal period;

providing, by the charge management engine, the user with an indication to charge the device; and

receiving, by the device, a charge.