IP Library › Granted Patent US 12,394,320
Granted Patent B2
US 12,394,320 · App. 17/704,532 · Granted Aug 19, 2025

Systems and methods of situation aware edge analytics framework for avionics IOT gateways

Inventors: Kirupakar Janakiraman (Madurai, IN); Nayyar Azam Khan Rao (Bangalore, IN); Kalimulla Khan (Bangalore, IN); Prasanna M R H (Madurai, IN); Ramkumar Rajendran (Madurai, IN); Deepavali Dinkarrao Desai (Bangalore, IN); Aloke Roy (Baltimore, MD)
Assignee: HONEYWELL INTERNATIONAL INC.
G08G5/26G08G5/22G08G5/55G08G5/57H04L67/12
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Quick Facts
Patent No.
US 12,394,320
App. No.
17/704,532
Granted
Aug 19, 2025
Kind
B2
Abstract

Disclosed are methods, systems, and one or more computer-readable mediums for receiving, at an edge device from an external server, a rules database comprising a set of rules; receiving, by the edge device, first data from at least one device; processing, by the edge device, the received first data by comparing the received data to each rule among the set of rules; identifying a first triggering event in response to detecting a match between the received data and a rule of the rules database; and outputting an alert corresponding to the first triggering event.

Claims (28)

1. A method, comprising:

receiving, at an edge device from an external server, a rules database comprising a set of rules to be applied on incoming data streams obtained from one or more sensors of the edge device;

sending, by the edge device, the rules database to a cloud for analytics, wherein the set of rules are modified in the cloud based on one or more real-time changes related to one or more events at an edge;

receiving, by the edge device, first data from at least one device;

receiving, by the edge device, the set of rules after modification;

processing, by the edge device using one or more machine learning models, the received first data by automatically comparing the received data to each rule among the modified set of rules;

identifying a first triggering event in response to detecting a match between the received data and a modified rule of the rules database, wherein the first triggering event is saved in the cloud for future analysis; and

outputting an alert on a user interface corresponding to the first triggering event.

2. The method of claim 1 , further comprising:

receiving a user input for adding at least one rule to the rules database.

3. The method of claim 1 , wherein the at least one device comprises a sensor connected to a vehicle.

4. The method of claim 1 , wherein the first data is discarded if the first data and the rule of the rules database fails to match and wherein the first data comprises data related to at least one from among a speed of a vehicle, a weather event, and/or a status of a system.

5. The method of claim 1 , wherein the first triggering event comprises a weather event and a speed of a vehicle and wherein the first triggering event is published on an egress engine and propagated to the cloud.

6. The method of claim 1 , wherein the alert comprises displaying a message to an operator of a vehicle, wherein the message is any one of incoming data, a device life-cycle event, a REST API event, and an RPC request.

7. The method of claim 1 , wherein a rule, among the set of rules, comprises a weather condition and a status of a vehicle, wherein the status of the vehicle is related to device safety, device efficiency, and device maintenance.

8. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform a method, the method comprising:

receiving, at an edge device from an external server, a rules database comprising a set of rules to be applied on incoming data streams obtained from one or more sensors of the edge device;

sending, by the edge device, the rules database to a cloud for analytics, wherein the set of rules are modified in the cloud based on one or more real-time changes related to one or more events at an edge;

receiving, by the edge device, first data from at least one device;

receiving, by the edge device, the set of rules after modification;

processing, by the edge device using one or more machine learning models, the received first data by automatically comparing the received data to each rule among the modified set of rules;

identifying a first triggering event in response to detecting a match between the received data and a modified rule of the rules database, wherein the first triggering event is saved in the cloud for future analysis; and

outputting an alert on a user interface corresponding to the first triggering event.

9. The non-transitory computer-readable medium of claim 8 , further comprising: receiving a user input for adding at least one rule to the rules database.

10. The non-transitory computer-readable medium of claim 8 , wherein the at least one device comprises a sensor connected to a vehicle.

11. The non-transitory computer-readable medium of claim 8 , wherein the first data is discarded if the first data and the rule of the rules database fails to match and wherein the first data comprises data related to at least one from among a speed of a vehicle, a weather event, and/or a status of a system.

12. The non-transitory computer-readable medium of claim 8 , wherein the first triggering event comprises a weather event and a speed of a vehicle and wherein the first triggering event is published on an egress engine and propagated to the cloud.

13. The non-transitory computer-readable medium of claim 8 , wherein the alert comprises displaying a message to an operator of a vehicle, wherein the message is any one of incoming data, a device life-cycle event, a REST API event, and an RPC request.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 25, 2022
From: JANAKIRAMAN, KIRUPAKAR; RAO, NAYYAR AZAM KHAN; KHAN, KALIMULLA; M R H, PRASANNA; RAJENDRAN, RAMKUMAR; DESAI, DEEPAVALI DINKARRAO; ROY, ALOKE
To: HONEYWELL INTERNATIONAL INC.
Reel/Frame 059405/0392 →
Priority Claims (1)
IN 202141027172 · Jun 17, 2021 · national
Continuity (1)
Related Publication 20220406195A1 · Dec 22, 2022
References Cited (11)
US 10274338B2 · Boss et al. · 2019 [cited by applicant]
US 11469974B1 · Cruise · 2022 [cited by examiner]
US 20190383627A1 · Nangeroni · 2019 [cited by examiner]
US 20200183387A1 · Heit · 2020 [cited by examiner]
US 20210224701A1 · Bloomquist · 2021 [cited by examiner]
US 20210295614A1 · Camplejohn · 2021 [cited by examiner]
US 20220343773A1 · Ali · 2022 [cited by examiner]
EP 3694237A1 · 2020 [cited by applicant]
European search report and Search opinion Mailed on Oct. 31, 2022 for EP Application No. 22179482, 9 page(s). [cited by applicant]
EP Office Action Mailed on Apr. 19, 2024 for EP Application No. 22179482, 8 page(s). [cited by applicant]
EP Office Action Mailed on Jan. 3, 2025 for EP Application No. 22179482, 4 page(s). [cited by applicant]
Cited By (2)
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