SYSTEM AND METHOD FOR DYNAMICALLY TRACKING AND STATE FORECASTING TAGGED ENTITIES

• US 20100225447A1
• Filed: 03/08/2010
• Published: 09/09/2010
• Est. Priority Date: 02/27/2006
• Status: Abandoned Application

• Current Assignee: Createasoft Incorporated
• Original Assignee: Hosni I. Adra
• Inventors: Adra, Hosni I.
• Application Number:
  US12/719,746
• Publication Number:
  US 20100225447A1
• Time in Patent Office: Days
• US Class Current: 340/10.100
• CPC Class Codes: G01S 5/0294 Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Abstract

A method is provided for dynamically improving a progress of an entity through an operation, the entity having an electronic tagging device associated therewith. The method includes sensing signals emitted by the tagging device, communicating the sensed signals and corresponding energy levels to a data processor, processing the energy levels to track locations of the tagging device relatively to the predetermined sites of the sensors, dynamically updating a path of the tagging device and the associated entity based on the tracked locations with respect to at least a portion of the operation, triggering simultaneously a forecasting simulation, determining whether the forecasting simulation encounters a problem, identifying a modification of a parameter related to the entity or the operation that substantially mitigates the problem, and incorporating dynamically the modification of the parameter to improve the progress of the entity through the operation.

Claims

1. A method for dynamically improving a progress of an entity through an operation, the entity having an electronic tagging device associated therewith, the method comprising:

sensing signals emitted by the tagging device, at predetermined instances or when triggered by external events, by a plurality of sensors located at predetermined sites with respect to the operation;

communicating the sensed signals and corresponding energy levels at which they were sensed by each of the plurality of sensors to a data processor;

processing the energy levels to track locations of the tagging device relatively to the predetermined sites of the sensors;

dynamically updating a path of the tagging device and the associated entity based on the tracked locations with respect to at least a portion of the operation;

triggering simultaneously a forecasting simulation based on the dynamically updated path;

determining whether the forecasting simulation encounters a problem with respect to the simulated progress of the entity through the operation;

identifying a modification of a parameter related to the entity or the operation that substantially mitigates the problem; and

incorporating dynamically the modification of the parameter to improve the progress of the entity through the operation.