Environment driven solar power management

Patent metadata

Field	Value
Publication number	US-11862989-B2
Application number	US-202117213290-A
Country	US
Kind code	B2
Filing date	Mar 26, 2021
Priority date	Mar 26, 2021
Publication date	Jan 2, 2024
Grant date	Jan 2, 2024

Abstract

A computer receives determines a mobile device requires a recharge, where the mobile device have a solar cell and an imaging device. The computer identifies an object with a low diffusion rate. The computer recharges the mobile device, based on determining that the mobile device receiving the solar energy from the identified object.

First claim

What is claimed is:

1. A processor-implemented method for solar power management, the method comprising:
determining a mobile device requires a recharge, wherein the mobile device has attached a solar cell and an imaging device;
identifying, by the imaging device, an object with a low diffusion rate within a preconfigured distance of the mobile device;
identifying a plurality of other mobile devices having a light reflecting device in a space where the object with the low diffusion rate is located;
arranging the plurality of other mobile devices in the space to reflect solar radiation, using the light reflecting device, from the identified object to the mobile device;
causing the mobile device to receive the solar radiation, by orienting the solar cell toward at least one of the plurality of other mobile devices.

2. The processor-implemented method of claim 1 , wherein the low diffusion rate is identified using a trained neural network that analyzes images from the imaging device and weather conditions in the space.

3. The processor-implemented method of claim 1 , wherein the low diffusion rate is identified using a trained neural network that analyzes weather conditions in the space.

4. The processor-implemented method of claim 1 , wherein the object is identified by analyzing surfaces of the space using the imaging device and a visual recognition method, wherein the visual recognition method identifies, as the object, at least one of the surfaces that has a reflection of a light source.

5. The processor-implemented method of claim 1 , wherein arranging the plurality of other mobile devices in the space further comprises relocating each of two mobile devices from the plurality of other mobile devices in the space to a distance determined based on a surface area of the solar cell and an area of a reflected light on the solar cell.

6. The processor-implemented method of claim 1 , wherein arranging the plurality of other mobile devices in the space to reflect the solar radiation is by positioning the plurality of other mobile devices in a chain structure that reflects the solar radiation from the identified object using the light reflecting device of a first mobile device towards the light reflecting device of a second mobile device which in turn reflects the solar radiation to the solar cell of the mobile device.

7. The processor-implemented method of claim 5 , further comprising:
recharging the mobile device using the solar cell by receiving the reflected solar radiation from a light source of at least one of the plurality of other mobile devices equipped with the light source.

8. A computer system for solar power management, the computer system comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
determining a mobile device requires a recharge, wherein the mobile device has attached a solar cell and an imaging device;
identifying, by the imaging device, an object with a low diffusion rate within a preconfigured distance of the mobile device;
identifying a plurality of other mobile devices having a light reflecting device in a space where the object with the low diffusion rate is located;
arranging the plurality of other mobile devices in the space to reflect solar radiation, using the light reflecting device, from the identified object to the mobile device;
causing the mobile device to receive the solar radiation, by orienting the solar cell toward at least one of the plurality of other mobile devices.

9. The computer system of claim 8 , wherein the low diffusion rate is identified using a trained neural network that analyzes images from the imaging device and weather conditions in the space.

10. The computer system of claim 8 , wherein the low diffusion rate is identified using a trained neural network that analyzes weather conditions in the space.

11. The computer system of claim 8 , wherein the object is identified by analyzing surfaces of the space using the imaging device and a visual recognition method, wherein the visual recognition method identifies, as the object, at least one of the surfaces that has a reflection of a light source.

12. The computer system of claim 8 , wherein arranging the plurality of other mobile devices in the space further comprises relocating each of two mobile devices from the plurality of other mobile devices in the space to a distance determined based on a surface area of the solar cell and an area of a reflected light on the solar cell.

13. The computer system of claim 8 , wherein arranging the plurality of other mobile devices in the space to reflect the solar radiation is by positioning the plurality of other mobile devices in a chain structure that reflects the solar radiation from the identified object using the light reflecting device of a first mobile device towards the light reflecting device of a second mobile device which in turn reflects the solar radiation to the solar cell of the mobile device.

14. The computer system of claim 8 , further comprising:
recharging the mobile device using the solar cell by receiving the reflected solar radiation from a light source of at least one of the plurality of other mobile devices equipped with the light source.

15. A non-transitory computer-readable storage medium storing a computer program product, the computer program product comprising:
program instructions executable by a processor, the program instructions comprising:
program instructions to determine a mobile device requires a recharge, wherein the mobile device has attached a solar cell and an imaging device;
program instructions to identify, by the imaging device, an object with a low diffusion rate within a preconfigured distance of the mobile device;
program instructions to identify a plurality of other mobile devices having a light reflecting device in a space where the object with the low diffusion rate is located;
program instructions to arrange the plurality of other mobile devices in the space to reflect solar radiation, using the light reflecting device, from the identified object to the mobile device;
program instructions to cause the mobile device to receive the solar radiation, by orienting the solar cell toward at least one of the plurality of other mobile devices.

16. The computer program product of claim 15 , wherein the low diffusion rate is identified using a trained neural network that analyzes images from the imaging device and weather conditions in the space.

17. The computer program product of claim 15 , wherein the low diffusion rate is identified using a trained neural network that analyzes weather conditions in the space.

18. The computer program product of claim 15 , wherein the object is identified by program instructions to analyze surfaces of the space using the imaging device and a visual recognition method, wherein the visual recognition method identifies, as the object, at least one of the surfaces that has a reflection of a light source.

19. The computer program product of claim 15 , wherein program instructions to arrange the plurality of other mobile devices in the space further comprises program instructions to relocate each of two mobile devices from the plurality of other mobile devices in the space to

Assignees

• IBM
• Int Business Machines Corporation Armonk

Inventors

• Baughman Aaron K
• Kwatra Shikhar
• Pandey Diwesh
• Joseph Arun

Classifications

• H02J2101/24

  Photovoltaics · CPC title

• H02J2105/32

  for aircrafts · CPC title

• H02J2101/22

  Solar energy · CPC title

• H02J7/80

  including monitoring or indicating arrangements · CPC title

• H02J7/44 Primary

  between battery management systems and power sources · CPC title