Predictive forecasting of food allocation

Patent metadata

Field	Value
Publication number	US-11810029-B2
Application number	US-201916431283-A
Country	US
Kind code	B2
Filing date	Jun 4, 2019
Priority date	Jun 4, 2019
Publication date	Nov 7, 2023
Grant date	Nov 7, 2023

Abstract

In an approach for predictive forecasting of food allocation, a first data is received from one or more sensors. The amount and condition of available food is determined from the first data. The number and location of people is determined from the first data. The received data is modified to create a second data. One or more food requirements for the people are predicted based on the number and location of people and the second data. An optimal food allocation for the people is predicted based on the amount and condition of food available and the one or more food requirements. The optimal food allocation is reported.

First claim

What is claimed is:

1. A computer-implemented method comprising:
receiving, by one or more computer processors, first data compiled remotely from a plurality of Internet of Things (IoT) sensors located at multiple disparate food store locations throughout a geographic area, wherein the plurality of IoT sensors:
collects data comprising food item temperature, relative humidity, food item moisture content; and
includes a gas sensor that collects data including food item gas emissions;

determining, by one or more computer processors, an amount and condition of food available throughout the geographic area based on the first data, wherein the condition of the food is determined based on, at least, food item gas emission data;
determining, by one or more computer processors, a number and location of people throughout the geographic area based on the first data;
modifying, by one or more computer processors, the first data to create second data;
predicting, by one or more computer processors, one or more food requirements for the people based on the number and location of people and the second data;
predicting, by one or more computer processors, an optimal food allocation for the people based on the amount and condition of food available and the one or more food requirements;
reporting, by one or more computer processors, the optimal food allocation;
determining, by one or more computer processors, a probability that one or more people of the people will run out of food based on the amount and condition of food available and the one or more food requirements; and
responsive to the probability of any of the one or more people being greater than a threshold, reporting, by one or more computer processors, a first group of people of the one or more people, wherein the first group of people have the probability greater than the threshold.

2. The computer-implemented method of claim 1 , wherein the first data is modified by applying fuzzification to create the second data.

3. The computer-implemented method of claim 1 , wherein the first data is modified by applying time series to create the second data.

4. The computer-implemented method of claim 1 , wherein the first data is modified by applying fuzzification and time series to create the second data.

5. The computer-implemented method of claim 1 , further comprising overlaying, by one or more computer processors, the optimal food allocation on a map of an affected area.

6. The computer-implemented method of claim 1 , further comprising:
responsive to the probability of any of the one or more people being greater than the threshold, overlaying, by one or more computer processors, the first group of people on a map of an affected area.

7. 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 comprising:
program instructions to receive first data compiled remotely from a plurality of Internet of Things (IoT) sensors located at multiple disparate food store locations throughout a geographic area, wherein the plurality of IoT sensors:
collects data comprising food item temperature, relative humidity, food item moisture content; and
includes a gas sensor that collects data including food item gas emissions;

program instructions to determine an amount and condition of food available throughout the geographic area based on the first data, wherein the condition of the food is determined based on, at least, food item gas emission data;
program instructions to determine a number and location of people throughout the geographic area based on the first data;
program instructions to modify the first data to create second data;
program instructions to predict one or more food requirements for the people based on the number and location of people and the second data;
program instructions to predict an optimal food allocation for the people based on the amount and condition of food available and the one or more food requirements;
program instructions to report the optimal food allocation;
program instructions to determine a probability that one or more people of the people will run out of food based on the amount and condition of food available and the one or more food requirements; and
program instructions to, responsive to the probability of any of the one or more people being greater than a threshold, report a first group of people of the one or more people, wherein the first group of people have the probability greater than the threshold.

8. The computer program product of claim 7 , further comprising program instructions, stored on the one or more computer readable storage media, to modify the first data by applying fuzzification to create the second data.

9. The computer program product of claim 7 , further comprising program instructions, stored on the one or more computer readable storage media, to modify the first data by applying time series to create the second data.

10. The computer program product of claim 7 , further comprising program instructions, stored on the one or more computer readable storage media, to modify the first data by applying fuzzification and time series to create the second data.

11. The computer program product of claim 7 , further comprising program instructions, stored on the one or more computer readable storage media, to overlay the optimal food allocation on a map of an affected area.

12. The computer program product of claim 7 , further comprising program instructions, stored on the one or more computer readable storage media, to:
responsive to the probability of any of the one or more people being greater than the threshold, overlay the first group of people on a map of an affected area.

13. A computer system comprising:
one or more computer processors;
one or more computer readable storage media;
program instructions stored on the one or more computer readable storage media for execution by at least one of one or more computer processors, the stored program instructions comprising:
program instructions to receive first data compiled remotely from a plurality of Internet of Things (IoT) sensors located at multiple disparate food store locations throughout a geographic area, wherein the plurality of IoT sensors:
collects data comprising food item temperature, relative humidity, food item moisture content; and
includes a gas sensor that collects data including food item gas emissions;

program instructions to determine an amount and condition of food available throughout the geographic area based on the first data, wherein the condition of the food is determined based on, at least, food item gas emission data;
program instructions to determine a number and location of people throughout the geographic area based on the first data;
program instructions to modify the first data to create second data;
program instructions to predict one or more food requirements for the people based on the number and location of people and the second data;
program instructions to predict an optimal food allocation for the people based on the amount and condition of food available and the one or more food requirements;
program instructions to report the optimal food allocation;
program instructions to determine a probability that one or more people of the people will run out of food based on the amount and condition of food available and the one or more food requirements; and
program instructions to, responsive to the probability of any of the one or more people being greater than a threshold, report a first group of

Assignees

• IBM

Inventors

• Trim Craig M
• Rudden Mary E
• Rakshit Sarbajit K
• Goyal Munish

Classifications

• G06Q10/063 Primary

  Operations research, analysis or management · CPC title

• G06F17/18

  for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

• G06F18/2321

  using statistics or function optimisation, e.g. modelling of probability density functions · CPC title

• G06F18/2415

  based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate · CPC title

• G06N7/02

  using fuzzy logic (computing arrangements based on biological models G06N3/00; computing arrangements using knowledge-based models G06N5/00) · CPC title