Alerting networked devices of signal divergence by georegion

Patent metadata

Field	Value
Publication number	US-12284070-B2
Application number	US-202318498808-A
Country	US
Kind code	B2
Filing date	Oct 31, 2023
Priority date	May 11, 2022
Publication date	Apr 22, 2025
Grant date	Apr 22, 2025

Abstract

A system for monitoring quantized signals in a bidirectional data stream and alerting a networked device of metric divergence by georegion includes a computing system that automatically, for each of multiple user entities, receives input signals and stores corresponding records , associated with the user entity, each representing a quantized input event. The computing system increments a resource of the user entity by a respective input quantity. Georegion-specific attributes associated with a respective georegion are discriminated, and the input records are associated with georegion. The computing system measures user-specific georegion-specific metrics for each georegion and determines whether the metrics diverge from a georegion-specific index. An alert is sent across a network for display on a user device upon determining a user-specific georegion-specific metric diverges from a georegion-specific index.

First claim

What is claimed is:

1. A system for monitoring quantized signals in a bidirectional data stream and alerting a networked device of metric divergence by georegion, the system comprising:
a computing system of a first entity including one or more processor and at least one of a memory device and a non-transitory storage device, wherein said one or more processor executes computer-readable instructions; and
a network connection operatively connecting user devices to the computing system,
wherein, upon execution of the computer-readable instructions, the computing system performs steps comprising, for each specific user entity of multiple user entities:
receiving input event signals and storing corresponding input event records associated with the specific user entity, each of the input event records representing a respective quantized input event;
incrementing, respectively for each one of at least some of the input event records, one or more respective quantized resource of the specific user entity by a respective input quantity;
receiving by the first entity into the respective quantized resource of the specific user entity the respective input quantity by deposit or by payment from a respective other party;
receiving output event signals and storing corresponding output event records associated with the specific user entity, each of the output event records representing a respective quantized output event;
decrementing, respectively for each one of at least some of the output event records, a respective output quantity from the one or more quantized resource of the specific user entity;
discharging by the first entity the respective out quantity from the one or more quantized resource of the specific user entity;
discriminating, for at least some of the input event records, a respective at least one georegion-specific attribute associated with a respective georegion;
associating each input event record, for which a respective at least one georegion-specific attribute is discriminated, with the respective georegion;
measuring, over each georegion with which at least one of the input event records of the user entity and output event records of the user entity are associated, a user-specific georegion-specific metric;
determining, for each georegion for which a user-specific georegion-specific metric is measured, whether the user-specific georegion-specific metric diverges from a georegion-specific index; and
automatically sending an alert across the network connection to at least one user device associated with the specific user entity for display at least in part on the at least one user device associated with the specific user entity upon determining the user-specific georegion-specific metric diverges from the georegion-specific index, the alert comprising an indication to the specific user entity that the user-specific georegion-specific metric diverges from the georegion-specific index,
wherein the georegion-specific index is representative of at least one of input event records of the multiple user entities, and output event records of the multiple user entities.

2. The system of claim 1 , the steps further comprising aggregating, for at least one georegion with which at least one of input event records of the user entity and output event records of the user entity are associated, the georegion-specific index.

3. The system of claim 2 , wherein aggregating the georegion-specific index comprises using an aggregating algorithm trained by a machine-learning technique.

4. The system of claim 3 , wherein the aggregating algorithm aggregates the georegion-specific index from at least one of input event records of the multiple user entities and output event records of the multiple user entities.

5. The system of claim 1 , wherein discriminating the respective at least one georegion-specific attribute comprises using a discriminating algorithm trained by a machine-learning technique.

6. The system of claim 5 , wherein the machine-learning technique utilizes at least one of input event records of the multiple user entities and output event records of the multiple user entities to train the discriminating algorithm to discriminate georegion-specific attributes.

7. The system of claim 5 , wherein the machine-learning technique utilizes at least one of input event records of the specific user entity and output event records of the specific user entity to train the discriminating algorithm to discriminate georegion-specific attributes.

8. The system of claim 1 , wherein the georegion-specific index represents at least one of: an average; a mean; a normalized sum; and a weighted sum.

9. The system of claim 1 , the steps further comprising determining the georegion-specific index at least in part using third-party data.

10. The system of claim 1 , wherein the user-specific georegion-specific metric represents at least one of: an average; a mean; a normalized sum; and a weighted sum.

11. The system of claim 1 , wherein the alert comprises an indication that the user-specific georegion-specific metric diverges from the georegion-specific index by subceeding or exceeding the georegion-specific index.

12. A system for monitoring quantized signals in a bidirectional data stream and alerting a networked device of metric divergence by georegion, the system comprising:
a computing system of a first entity including one or more processor and at least one of a memory device and a non-transitory storage device, wherein said one or more processor executes computer-readable instructions; and
a network connection operatively connecting user devices of multiple user entities to the computing system,
wherein, upon execution of the computer-readable instructions, the computing system performs steps comprising, for a specific user entity of the multiple user entities:
receiving input event signals and storing corresponding input event records associated with the specific user entity, each of the input event records representing a respective quantized input event;
incrementing, respectively for each one of at least some of the input event records, one or more respective quantized resource of the specific user entity by a respective input quantity;
receiving by the first entity into the respective quantized resource of the specific user entity the respective input quantity by deposit or by payment from a respective other party;
receiving output event signals and storing corresponding output event records associated with the specific user entity, each of the output event records representing a respective quantized output event;
decrementing, respectively for each one of at least some of the output event records, a respective output quantity from the one or more quantized resource of the specific user entity;
discharging by the first entity the respective output quantity from the one or more quantized resource of the specific user entity;
discriminating, for at least some of the input event records, a respective at least one georegion-specific attribute associated with a respective georegion;
associating each input event record, for which a respective at least one georegion-specific attribute is discriminated, with the respective georegion;
measuring, for each georegion with which at least one of input event records of the user entity and output event records of the user entity are associated, a respective georegion-specific metric;
measuring, for each georegion for which a georegion-specific metric is measured, a georegion-specific index;
determining, for each georegion for which a georegion-specific metric is measured, whether the georegion-specific metric diverges from the georegio

Assignees

• Truist Bank

Inventors

• Green Kevin
• Fitzgerald Raphael
• Mistor Paul Gerard

Classifications

• H04L43/08 Primary

  Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters · CPC title

• H04L41/0622

  based on time · CPC title

• H04L41/16

  using machine learning or artificial intelligence · CPC title

• H04L41/0618 Primary

  based on the physical or logical position · CPC title