IP Library Patent Application 18056127
Patent Application
App. No. 18/056,127

METHODS AND SYSTEMS FOR IDENTIFYING AND ADDRESSING WORKER FATIGUE

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Patent No.
US None
App. No.
18/056,127
Abstract

Methods and systems for identifying and addressing worker fatigue are provided. Work data associated with a worker of an organization is identified. The work data indicates at least a number of hours worked by the worker during one or more intervals of a time period. A fatigue state associated with the worker during the time period is calculated based on the identified work data. The fatigue state corresponds to an amount of fatigue accumulated by the worker during the time period. A fatigue score associated with the worker is determined based on the calculated fatigue state. The fatigue score indicates a level of fatigue associated with the worker in view of fatigue of other workers of the organization. The fatigue score is provided to a client device.

Claims (53)

1 . A method comprising:

identifying, by a processing device, work data associated with a worker of an organization, wherein the work data comprises a number of hours worked by the worker during one or more intervals of a time period;

calculating, by the processing device and based on the identified work data, a fatigue state associated with the worker, wherein the fatigue state corresponds to an amount of fatigue accumulated by the worker during the time period;

determining, by the processing device, a fatigue score associated with the worker based on the calculated fatigue state, wherein the fatigue score indicates a level of fatigue associated with the worker in view of fatigue of other workers of the organization; and

providing, by the processing device, the fatigue score to a client device.

2 . The method of claim 1 , wherein calculating the fatigue state associated with the worker during the time period comprises:

determining a level of fatigue associated with the worker during each time interval of the time period; and

aggregating the determined levels of fatigue to generate an aggregated level of fatigue over the time period, wherein the calculated fatigue state corresponds to the aggregated level of fatigue.

3 . The method of claim 2 , wherein determining the level of fatigue associated with the worker during each interval of the time period comprises:

applying a work fatigue function to the number of hours worked during each interval of the time period.

4 . The method of claim 3 , wherein an equation of the work fatigue function comprises one or more elements and wherein a fatigue weight coefficient is applied to at least one of the one or more elements, wherein the fatigue weight coefficient corresponds to an amount of fatigue accumulated during one or more hours of a respective time interval, and wherein the fatigue weight coefficient is optimized based on a target work schedule associated with the worker.

5 . The method of claim 2 , wherein aggregating the determined levels of fatigue to generate the aggregated level of fatigue over the time period comprises:

calculating a summation of each determined level of fatigue associated with the worker during each interval of the time period.

6 . The method of claim 5 , further comprising:

applying a time weight coefficient to each determined level of fatigue associated with the worker, wherein the time weight coefficient corresponds to an amount of time that has passed from a respective time interval associated with a determined level of fatigue and a current time interval of the time period.

7 . The method of claim 1 , wherein determining the fatigue score associated with the worker based on the calculated fatigue state comprises:

normalizing the calculated fatigue state associated with the worker based on a fatigue state associated with one or more workers of the organization.

8 . The method of claim 1 , wherein determining the fatigue score associated with the worker based on the calculated fatigue state comprises:

determining whether the calculated fatigue state exceeds a fatigue state threshold value of a plurality of fatigue state threshold values, wherein each of the plurality of fatigue state threshold values corresponds to a respective fatigue score; and

responsive to determining that the calculated fatigue state exceeds the fatigue state threshold value, identifying the respective fatigue score corresponding to the fatigue state threshold value.

9 . The method of claim 1 , further comprising:

providing, to the client device, one or more recommended measures to reduce the fatigue score.

10 . The method of claim 9 , wherein the one or more recommended measures to reduce the fatigue score comprise an indication of a number of rest hours to mitigate the amount of fatigue accumulated by the worker.

11 . A system comprising:

a memory; and

a processing device coupled to the memory, the processing device to perform operations comprising:

identifying work data associated with a worker of an organization, wherein the work data comprises a number of hours worked by the worker during one or more intervals of a time period;

calculating, based on the identified work data, a fatigue state associated with the worker, wherein the fatigue state corresponds to an amount of fatigue accumulated by the worker during the time period;

determining a fatigue score associated with the worker based on the calculated fatigue state; and

providing the fatigue score to a client device.

12 . The system of claim 11 , wherein calculating the fatigue state associated with the worker during the time period comprises:

determining a level of fatigue associated with the worker during each time interval of the time period; and

aggregating the determined levels of fatigue to generate an aggregated level of fatigue over the time period, wherein the calculated fatigue state corresponds to the aggregated level of fatigue.

13 . The system of claim 12 , wherein determining the level of fatigue associated with the worker during each interval of the time period comprises:

applying a work fatigue function to the number of hours worked during each interval of the time period.

14 . The system of claim 13 , wherein an equation of the work fatigue function comprises one or more elements and wherein a fatigue weight coefficient is applied to at least one of the one or more elements, wherein the fatigue weight coefficient corresponds to an amount of fatigue accumulated during one or more hours of a respective time interval, and wherein the fatigue weight coefficient is optimized based on a target work schedule associated with the worker.

15 . The system of claim 12 , wherein aggregating the determined levels of fatigue to generate the aggregated level of fatigue over the time period comprises:

calculating a summation of each determined level of fatigue associated with the worker during each interval of the time period.

16 . The system of claim 15 , wherein the operations further comprise:

applying a time weight coefficient to each determined level of fatigue associated with the worker, wherein the time weight coefficient corresponds to an amount of time that has passed from a respective time interval associated with a determined level of fatigue and a current time interval of the time period.

17 . The system of claim 11 , wherein determining the fatigue score associated with the worker based on the calculated fatigue state comprises:

normalizing the calculated fatigue state associated with the worker based on a fatigue state associated with one or more workers of the organization.

18 . The system of claim 11 , wherein determining the fatigue score associated with the worker based on the calculated fatigue state comprises:

determining whether the calculated fatigue state exceeds a fatigue state threshold value of a plurality of fatigue state threshold values, wherein each of the plurality of fatigue state threshold values corresponds to a respective fatigue score; and

responsive to determining that the calculated fatigue state exceeds the fatigue state threshold value, identifying the fatigue score corresponding to the fatigue state threshold value.

19 . A non-transitory computer readable storage medium including instructions that, when executed by a processing device, cause the processing device to perform operations comprising:

identifying work data associated with a worker of an organization, wherein the work data indicates at least a number of hours worked by the worker during one or more intervals of a time period;

calculating, based on the identified work data, a fatigue state associated with the worker, wherein the fatigue state corresponds to an amount of fatigue accumulated by the worker during the time period;

determining a fatigue score associated with the worker based on the calculated fatigue state, wherein the fatigue score indicates a level of fatigue associated with the worker in view of fatigue of other workers of the organization; and

providing the fatigue score to a client device.

20 . The non-transitory computer readable storage medium of claim 19 , wherein calculating the fatigue state associated with the worker during the time period comprises:

determining a level of fatigue associated with the worker during each time interval of the time period; and

aggregating the determined levels of fatigue to generate an aggregated level of fatigue over the time period, wherein the calculated fatigue state corresponds to the aggregated level of fatigue.

Assignments (5)
RELEASE (REEL 066552 / FRAME 0029) Recorded Apr 9, 2024
From: NOMURA CORPORATE FUNDING AMERICAS, LLC
To: UKG INC.; KRONOS TECHNOLOGY SYSTEMS LIMITED PARTNERSHIP
Reel/Frame 067055/0917 →
SECURITY AGREEMENT (FIRST LIEN) Recorded Feb 12, 2024
From: KRONOS TECHNOLOGY SYSTEMS LIMITED PARTNERSHIP; UKG INC.
To: NOMURA CORPORATE FUNDING AMERICAS, LLC, AS COLLATERAL AGENT
Reel/Frame 066551/0941 →
SECURITY AGREEMENT (NOTES) Recorded Feb 12, 2024
From: KRONOS TECHNOLOGY SYSTEMS LIMITED PARTNERSHIP; UKG INC.
To: COMPUTERSHARE TRUST COMPANY, NATIONAL ASSOCIATION, AS NOTES COLLATERAL AGENT
Reel/Frame 066551/0962 →
SECURITY AGREEMENT (SECOND LIEN) Recorded Feb 12, 2024
From: KRONOS TECHNOLOGY SYSTEMS LIMITED PARTNERSHIP; UKG INC.
To: NOMURA CORPORATE FUNDING AMERICAS, LLC, AS COLLATERAL AGENT
Reel/Frame 066552/0029 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 11, 2023
From: THAKUR, VIRAJ; MYERS, BRETT; KHVESKO, ALEXANDER; YAKUBENKA, PAVEL
To: UKG INC.
Reel/Frame 062346/0884 →