COMPUTER-IMPLEMENTED SYSTEMS UTILIZING SENSOR NETWORKS FOR SENSING TEMPERATURE AND MOTION ENVIRONMENTAL PARAMETERS; AND METHODS OF USE THEREOF

• US 20170140284A1
• Filed: 01/30/2017
• Published: 05/18/2017
• Est. Priority Date: 03/31/2004
• Status: Abandoned Application

• Current Assignee: TriPlay Incorporated
• Original Assignee: TriPlay Incorporated
• Inventors: Jung, Edward K.Y., Tegreene, Clarence T.
• Application Number:
  US15/419,032
• Publication Number:
  US 20170140284A1
• Time in Patent Office: Days
• CPC Class Codes: G01D 9/005 Solid-state data loggers
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 3/08 Learning methods
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/047 Pattern matching networks; Rete networks
• CPC Class Codes: G08B 29/186 Fuzzy logic; neural networks
• CPC Class Codes: G08B 29/188 Data fusion; cooperative systems, e.g. voting among different detectors
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04Q 2209/20 using a distributed architecture
• CPC Class Codes: H04Q 2209/40 using a wireless architecture
• CPC Class Codes: H04Q 9/00 Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
• CPC Class Codes: H04W 4/38 for collecting sensor information
• CPC Class Codes: H04W 84/18 Self-organising networks, e.g. ad-hoc networks or sensor networks

Abstract

Computer-implemented systems utilizing sensor networks for sensing temperature and motion environmental parameters, and performing at least operations of electronically establishing, based on pattern recognition criteria, correspondence of a plurality of representative features a plurality of characteristics of an occurrence, where a first instance of the occurrence occurred within a first time period of a plurality of time periods; electronically discovering, based on the correspondence, a second instance of the occurrence in an environment during a second time period of the plurality of time periods; and electronically causing, based on the discovery of the second instance of the occurrence, a change in the environment via an electronically-controlled device.

Claims

1. A computer-implemented method comprising:

electronically and automatically receiving, by at least one programmed central processing unit, via at least one communication link, sensed data from at least one sensor network;

wherein the at least one sensor network comprises a plurality of remotely located recording sensor nodes;

wherein the sensed data comprises environmental data for each environment in which each remotely located recording sensor node is located;

wherein the environmental data is being continuously captured, over a plurality of time periods, by the plurality of remotely located recording sensor nodes, based, at least in part, on a plurality of environmental parameters; and

automatically analyzing, by the at least one programmed central processing unit, the sensed data, captured over at least one first time period of the plurality of time periods, to identify a plurality of representative features within the sensed data.