Adaptive detection and diffusion of carbon dioxide using drones

Patent metadata

Field	Value
Publication number	US-2025058906-A1
Application number	US-202318235010-A
Country	US
Kind code	A1
Filing date	Aug 17, 2023
Priority date	Aug 17, 2023
Publication date	Feb 20, 2025
Grant date	—

Abstract

An embodiment includes sending a first drone, including a carbon dioxide sensor, into an area. The embodiment includes detecting a level of carbon dioxide in the area and generating a map including a position and level of carbon dioxide. The embodiment includes calculating a carbon dioxide hotspot above a threshold. The embodiment includes creating a plan to diffuse the carbon dioxide hotspot in a time limit by calculating an amount of a drones to send to the area based on a needed amount of humidity and light to diffuse the carbon dioxide hotspot in the time limit. The amount of humidity and light are calculated using an optimizer module. The embodiment includes sending the calculated amount of drones to the area of the carbon dioxide hotspot. The embodiment includes diffusing the carbon dioxide hotspot, sampling the area, and updating the map with new levels of carbon dioxide.

First claim

What is claimed is:

1 . A computer-implemented method comprising:
sending a first drone into an area, the first drone comprising a carbon dioxide sensor; detecting a level of carbon dioxide in the area; generating a map wherein the map includes a position and the level of carbon dioxide; calculating a carbon dioxide hotspot where the level of carbon dioxide is above a threshold; creating a plan, using a planner module, to diffuse the carbon dioxide hotspot in a time limit wherein creating the plan comprises calculating an amount of a drones to send based on a needed amount of humidity and a needed amount of light to diffuse the carbon dioxide hotspot in the time limit, wherein the needed amount of humidity and the needed amount of light is calculated using an optimizer module, wherein the time limit is provided by a work order; sending the calculated amount of drones to the area of the carbon dioxide hotspot; diffusing the carbon dioxide hotspot, using the calculated amount of drones; sampling the area, using the first drone, and updating the map with new levels of carbon dioxide.

2 . The computer-implemented method of claim 1 , wherein each drone of the amount of drones comprises an artificial photosynthesis module.

3 . The computer-implemented method of claim 2 , wherein the artificial photosynthesis module comprises a humidity unit, a photon generator, and a catalyst.

4 . The computer-implemented method of claim 3 , wherein the catalyst is a synthetic polymer with ionic properties.

5 . The computer-implemented method of claim 1 , further comprising:
calculating the new levels of carbon dioxide are above the threshold; creating a new plan; and diffusing the carbon dioxide using a calculated number of drones.

6 . The computer-implemented method of claim 1 , wherein the needed amount of light is provided by a photon generator on a drone.

7 . The computer-implemented method of claim 1 , wherein the threshold of carbon dioxide is above 5,000 ppm.

8 . The computer-implemented method of claim 1 , wherein the threshold of carbon dioxide is below 40,000 ppm.

9 . The computer-implemented method of claim 1 , further comprising creating an updated carbon dioxide map showing where the level of carbon dioxide is below the threshold of carbon dioxide.

10 . The computer-implemented method of claim 1 , wherein the threshold is set by a governing agency.

11 . A computer program product comprising one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by a processor to cause the processor to perform operations comprising:
sending a first drone into an area, the first drone comprising a carbon dioxide sensor; detecting a level of carbon dioxide in the area; generating a map wherein the map includes a position and the level of carbon dioxide; calculating a carbon dioxide hotspot where the level of carbon dioxide is above a threshold; creating a plan, using a planner module, to diffuse the carbon dioxide hotspot in a time limit wherein creating the plan comprises calculating an amount of a drones to send based on a needed amount of humidity and a needed amount of light to diffuse the carbon dioxide hotspot in the time limit, wherein the needed amount of humidity and the needed amount of light is calculated using an optimizer module, wherein the time limit is provided by a work order; sending the calculated amount of drones to the area of the carbon dioxide hotspot; diffusing the carbon dioxide hotspot, using the calculated amount of drones; sampling the area, using the first drone, and updating the map with new levels of carbon dioxide.

12 . The computer program product of claim 11 , wherein the stored program instructions are stored in a computer readable storage device in a data processing system, and wherein the stored program instructions are transferred over a network from a remote data processing system.

13 . The computer program product of claim 11 , wherein each drone of the amount of drones comprises an artificial photosynthesis module.

14 . The computer program product claim 13 , wherein the artificial photosynthesis module comprises a humidity unit, a photon generator, and a catalyst.

15 . The computer program product claim 11 , further comprising:
calculating the new levels of carbon dioxide are above the threshold; creating a new plan; and diffusing the carbon dioxide using a calculated number of drones.

16 . The computer program product claim 15 , further comprising creating an updated carbon dioxide map showing where the level carbon dioxide is below the threshold of carbon dioxide.

17 . A computer system comprising a processor and one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable by the processor to cause the processor to perform operations comprising:
sending a first drone into an area, the first drone comprising a carbon dioxide sensor; detecting a level of carbon dioxide in the area; generating a map wherein the map includes a position and the level of carbon dioxide; calculating a carbon dioxide hotspot where the level of carbon dioxide is above a threshold; creating a plan, using a planner module, to diffuse the carbon dioxide hotspot in a time limit wherein creating the plan comprises calculating an amount of a drones to send based on a needed amount of humidity and a needed amount of light to diffuse the carbon dioxide hotspot in the time limit, wherein the needed amount of humidity and the needed amount of light is calculated using an optimizer module, wherein the time limit is provided by a work order; sending the calculated amount of drones to the area of the carbon dioxide hotspot; diffusing the carbon dioxide hotspot, using the calculated amount of drones; sampling the area, using the first drone, and updating the map with a new level of carbon dioxide.

18 . The computer system of claim 17 , wherein each drone of the amount of drones comprises an artificial photosynthesis module.

19 . The computer system of claim 18 , wherein the artificial photosynthesis module comprises a humidity unit, a photon generator, and a catalyst.

20 . The computer system of claim 17 , further comprising:
calculating the new level of carbon dioxide are above the threshold; creating a new plan; and diffusing the carbon dioxide using a calculated number of drones.

Assignees

• IBM

Inventors

• Rakshit Sarbajit K
• Padmanaban Manikandan
• Hazra Jagabondhu

Classifications

• B64U2101/70

  for use inside enclosed spaces, e.g. in buildings or in vehicles · CPC title

• G01N33/004

  CO or CO2 · CPC title

• B64U20/80 Primary

  Arrangement of on-board electronics, e.g. avionics systems or wiring · CPC title