Computer-implemented systems utilizing sensor networks for sensing temperature and motion environmental parameters; and methods of use thereof

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.

What is claimed is: 
     
         1 . A computer-implemented method, comprising:
 receiving sensed data of at least one parameter from a sensor node over a network,   wherein the at least one sensor network comprises a plurality of remotely located recording sensor nodes,   wherein each of the plurality of remotely located recording sensor nodes captures the environmental data;   storing continuously the received sensed data as a first sensor data set in a storage device;   receiving an input selection from an input-selector of a target-event having at least one representative feature;   selecting a pattern recognition criteria corresponding to the at least one representative feature of the target-event;   searching, in response to the input selection corresponding to the target-event, for sensor data correlating to the at least one representative feature using the selected pattern recognition criteria; and   determining if the sensor data correlating to the at least one representative feature is found:
 if not found, continuously deleting the sensed data of the at least one parameter from the first sensor data set; and 
 if found, storing the sensor data correlating to the at least one representative feature in a retained data storage configured to store representative features of the target-event and continuously deleting the sensed data of the at least one parameter from the first sensor data set.