Granted Patent B2

US 12,628,013 · App. 18/084,847 · Granted May 12, 2026

Inventors: Javier Buzzalino (Simpsonville, SC); Julio P. Roque (Coconut Grove, FL); Peng Tang (Greer, SC)

Assignee: Intergraph Corporation

H04W24/08

Abstract

Claims (43)

1 . A data asset management method comprising:

determining that a mobile device communicating with a server system via a wireless communication service is destined for a wireless communication dead zone;

predicting at least one data asset that will be needed by the mobile device for working offline in the wireless communication dead zone based on work that is planned to be done in the wireless communication dead zone by a worker associated with the mobile device; and

transmitting the at least one data asset from the server system to the mobile device prior to the mobile device entering the wireless communication dead zone.

2 . The method of claim 1 , wherein the wireless communication dead zone relates to at least one of a cellular wireless communication service or a WiFi wireless communication service.

3 . The method of claim 1 , wherein predicting the at least one data asset is further based on at least one of worker history or worker skills of the worker.

4 . The method of claim 1 , wherein the server system comprises an enterprise asset management system.

5 . The method of claim 1 , wherein transmitting the at least one data asset from the server system to the mobile device prior to the mobile device entering the wireless communication dead zone comprises:

determining an amount of data to be transmitted;

determining an amount of transmission time based on the amount of data and a data rate available from the wireless communication service;

determining an amount of time for the mobile device to enter the wireless communication dead zone; and

beginning transmission of the at least one data asset such that transmitting the at least one data asset from the server system to the mobile device completes before the mobile device enters the wireless communication dead zone.

6 . The method of claim 1 , wherein the at least one data asset is predicted using AI/ML.

7 . The method of claim 1 , wherein the wireless communication dead zone is a three-dimensional volume.

8 . A data asset management system comprising:

at least one processor coupled to at least one memory containing instructions which, when executed by the at least one processor, causes the system to perform processes comprising:

determining that a mobile device communicating with a server system via a wireless communication service is destined for a wireless communication dead zone;

predicting at least one data asset that will be needed by the mobile device for working offline in the wireless communication dead zone based on work that is planned to be done in the wireless communication dead zone by a worker associated with the mobile device; and

transmitting the at least one data asset from the server system to the mobile device prior to the mobile device entering the wireless communication dead zone.

9 . The system of claim 1 , wherein the wireless communication dead zone relates to at least one of a cellular wireless communication service or a WiFi wireless communication service.

10 . The system of claim 1 , wherein predicting the at least one data asset is further based on at least one of worker history or worker skills of the worker.

11 . The system of claim 1 , wherein the server system comprises an enterprise asset management system.

12 . The system of claim 1 , wherein transmitting the at least one data asset from the server system to the mobile device prior to the mobile device entering the wireless communication dead zone comprises:

determining an amount of data to be transmitted;

determining an amount of transmission time based on the amount of data and a data rate available from the wireless communication service;

determining an amount of time for the mobile device to enter the wireless communication dead zone; and

beginning transmission of the at least one data asset such that transmitting the at least one data asset from the server system to the mobile device completes before the mobile device enters the wireless communication dead zone.

13 . The system of claim 1 , wherein the at least one data asset is predicted using AI/ML.

14 . The system of claim 1 , wherein the wireless communication dead zone is a three-dimensional volume.

15 . A computer program product comprising at least one tangible, non-transitory computer-readable storage medium having embodied therein computer program instructions which, when executed by one or more processors of a system, cause the system to perform computer processes comprising:

determining that a mobile device communicating with a server system via a wireless communication service is destined for a wireless communication dead zone;

predicting at least one data asset that will be needed by the mobile device for working offline in the wireless communication dead zone based on work that is planned to be done in the wireless communication dead zone by a worker associated with the mobile device; and

transmitting the at least one data asset from the server system to the mobile device prior to the mobile device entering the wireless communication dead zone.

16 . The computer program product of claim 15 , wherein the wireless communication dead zone relates to at least one of a cellular wireless communication service or a WiFi wireless communication service.

17 . The computer program product of claim 15 , wherein predicting the at least one data asset is further based on at least one of worker history or worker skills of the worker.

18 . The computer program product of claim 15 , wherein the server system comprises an enterprise asset management system.

19 . The computer program product of claim 15 , wherein transmitting the at least one data asset from the server system to the mobile device prior to the mobile device entering the wireless communication dead zone comprises:

determining an amount of data to be transmitted;

determining an amount of transmission time based on the amount of data and a data rate available from the wireless communication service;

determining an amount of time for the mobile device to enter the wireless communication dead zone; and

beginning transmission of the at least one data asset such that transmitting the at least one data asset from the server system to the mobile device completes before the mobile device enters the wireless communication dead zone.

20 . The computer program product of claim 15 , wherein the at least one data asset is predicted using AI/ML.

21 . The computer program product of claim 15 , wherein the wireless communication dead zone is a three-dimensional volume.

Assignments (1)

Continuity (1)

References Cited (27)