COMPUTER-IMPLEMENTED SYSTEMS UTILIZING SENSOR NETWORKS FOR SENSING TEMPERATURE AND MOTION ENVIRONMENTAL PARAMETERS; AND METHODS OF USE THEREOF
First Claim
1. A computer-implemented method for processing sensor data, the method comprising:
- electronically and automatically receiving, by at least one specially 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;
wherein the plurality of environmental parameters comprises;
1) at least one temperature environmental parameter, and2) at least one motion environmental parameter;
wherein each of the plurality of remotely located recording sensor nodes captures the environmental data for at least one respective environmental parameter;
automatically analyzing, by the at least one specially programmed central processing unit, the sensory 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, wherein each representative feature of the plurality of representative features is represented by particular environmental data of the at least one respective environmental parameter;
electronically storing, in at least one non-transient database, by the at least one specially programmed central processing unit, data representative of the plurality of representative features related to the at least one first time period of the plurality of time periods;
electronically establishing, based on at least one pattern recognition criterion, by the at least one specially programmed central processing unit, a first correspondence of at least one first representative feature from the plurality of representative features to at least one first characteristic of at least one first occurrence and a second correspondence of at least one second representative feature from the plurality of representative features to at least one second characteristic of the at least one first occurrence, wherein at least one first instance of the at least one first occurrence has occurred within the at least one first time period of the plurality of time periods;
electronically discovering, based on the first correspondence and the second correspondence, by the at least one specially programmed central processing unit, at least one second instance of the at least one first occurrence within the sensed data captured over at least one second time period of the plurality of time periods, wherein the at least one first occurrence has taken place in at least one first environment associated with at least one first remotely located recording sensor node; and
electronically causing, based on the discovery of the at least one second instance of the at least one first occurrence in the at least one first environment, by the at least one specially programmed processing unit, via at least one electronically-controlled device, at least one change in the at least one first environment.
0 Assignments
0 Petitions
Accused Products
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.
-
Citations
30 Claims
-
1. A computer-implemented method for processing sensor data, the method comprising:
-
electronically and automatically receiving, by at least one specially 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; wherein the plurality of environmental parameters comprises; 1) at least one temperature environmental parameter, and 2) at least one motion environmental parameter; wherein each of the plurality of remotely located recording sensor nodes captures the environmental data for at least one respective environmental parameter; automatically analyzing, by the at least one specially programmed central processing unit, the sensory 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, wherein each representative feature of the plurality of representative features is represented by particular environmental data of the at least one respective environmental parameter; electronically storing, in at least one non-transient database, by the at least one specially programmed central processing unit, data representative of the plurality of representative features related to the at least one first time period of the plurality of time periods; electronically establishing, based on at least one pattern recognition criterion, by the at least one specially programmed central processing unit, a first correspondence of at least one first representative feature from the plurality of representative features to at least one first characteristic of at least one first occurrence and a second correspondence of at least one second representative feature from the plurality of representative features to at least one second characteristic of the at least one first occurrence, wherein at least one first instance of the at least one first occurrence has occurred within the at least one first time period of the plurality of time periods; electronically discovering, based on the first correspondence and the second correspondence, by the at least one specially programmed central processing unit, at least one second instance of the at least one first occurrence within the sensed data captured over at least one second time period of the plurality of time periods, wherein the at least one first occurrence has taken place in at least one first environment associated with at least one first remotely located recording sensor node; and electronically causing, based on the discovery of the at least one second instance of the at least one first occurrence in the at least one first environment, by the at least one specially programmed processing unit, via at least one electronically-controlled device, at least one change in the at least one first environment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
-
-
17. A computer-implemented system, comprising:
-
a specially programmed central processing unit, comprising; a non-transient memory, electronically storing particular computer executable program code; and at least one computer processor which, when executing the particular computer executable program code, becomes at least one specifically programmed computer processor of the specially programmed central processing unit that is configured to perform at least the following operations; electronically and automatically receiving, 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; wherein the plurality of environmental parameters comprises; 1) at least one temperature environmental parameter, and 2) at least one motion environmental parameter; wherein each of the plurality of remotely located recording sensor nodes captures the environmental data for at least one respective environmental parameter; automatically analyzing the sensory 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, wherein each representative feature of the plurality of representative features is represented by particular environmental data of the at least one respective environmental parameter; electronically storing, in at least one non-transient database, data representative of the plurality of representative features related to the at least one first time period of the plurality of time periods; electronically establishing, based on at least one pattern recognition criterion, a first correspondence of at least one first representative feature from the plurality of representative features to at least one first characteristic of at least one first occurrence and a second correspondence of at least one second representative feature from the plurality of representative features to at least one second characteristic of the at least one first occurrence, wherein at least one first instance of the at least one first occurrence has occurred within the at least one first time period of the plurality of time periods; electronically discovering, based on the first correspondence and the second correspondence, at least one second instance of the at least one first occurrence within the sensed data captured over at least one second time period of the plurality of time periods, wherein the at least one first occurrence has taken place in at least one first environment associated with at least one first remotely located recording sensor node; and electronically causing, based on the discovery of the at least one second instance of the at least one first occurrence in the at least one first environment, at least one change in the at least one first environment via at least one electronically-controlled device. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
-
Specification