Occurrence data detection and storage for mote networks
First Claim
1. A system, comprising:
- one or more motes, each mote being respectively operable to obtain and communicate sensor data related to at least one parameter;
a computing device operable to communicate with the one or more motes, the computing device having a processing unit coupled to a data storage device; and
one or more instructions loaded on the data storage device that, when executed by the processing unit, configure the computing device to;
store an instance of sensor data related to the at least one parameter received from at least one mote of the one or more motes in a received data set in the data storage device;
receive an input selection defining an event corresponding to a target-occurrence, the target-occurrence having a representative feature including at least one recognizable pattern of sensor data obtained by the at least one mote of the one or more motes and related to the at least one parameter;
in response to the input selection defining the event corresponding to the target-occurrence, search the received data set for sensor data correlating to the representative feature of the target-occurrence;
when received sensor data correlating to the representative feature of the target-occurrence is found, store the correlated received sensor data in a retained data storage; and
delete the instance of sensor data related to the at least one parameter from the received data set according to a deletion sequence, wherein the deletion sequence includes deleting searched sensor data not correlated to the representative feature of the target-occurrence.
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Abstract
Systems and processes for detecting and storing occurrence data using mote networks are disclosed. In some embodiments, a system includes a computing component coupled with a data storage device and operable to receive data from one or more motes. Instructions on the data storage device configure the computing component to receive data from one or more motes into a received data set, receive an input selection corresponding to a target-occurrence having a representative feature, the representative feature including at least one recognizable pattern of at least one parameter in the data received from the one or more of the motes, select a pattern recognition criteria corresponding one of the representative features of the target-occurrence, and in response to the input selection corresponding to the target-occurrence, automatically search the received data set for data correlating to the target-occurrence representative feature using the selected pattern recognition criteria.
140 Citations
24 Claims
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1. A system, comprising:
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one or more motes, each mote being respectively operable to obtain and communicate sensor data related to at least one parameter; a computing device operable to communicate with the one or more motes, the computing device having a processing unit coupled to a data storage device; and one or more instructions loaded on the data storage device that, when executed by the processing unit, configure the computing device to; store an instance of sensor data related to the at least one parameter received from at least one mote of the one or more motes in a received data set in the data storage device; receive an input selection defining an event corresponding to a target-occurrence, the target-occurrence having a representative feature including at least one recognizable pattern of sensor data obtained by the at least one mote of the one or more motes and related to the at least one parameter; in response to the input selection defining the event corresponding to the target-occurrence, search the received data set for sensor data correlating to the representative feature of the target-occurrence; when received sensor data correlating to the representative feature of the target-occurrence is found, store the correlated received sensor data in a retained data storage; and delete the instance of sensor data related to the at least one parameter from the received data set according to a deletion sequence, wherein the deletion sequence includes deleting searched sensor data not correlated to the representative feature of the target-occurrence. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An occurrence-data storage system, comprising:
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a computing device having a processing unit coupled to a digital data storage device and being operable to communicate with one or more distributed motes, each mote operable to obtain sensor data having at least one parameter representing a feature, and to communicate the obtained sensor data to the computing device, the feature having a correlation to an occurrence; and one or more instructions loaded on the digital data storage device that, when executed by the processing unit, configure the computing device to; store the received sensor data from a first mote of the one or more distributed motes in a first receiver data set in the digital data storage device; access selection data corresponding to a target-occurrence having a representative feature, the representative feature including at least one recognizable pattern of at least one parameter corresponding to the sensor data obtained by one or more of the one or more distributed motes; select a pattern recognition criteria corresponding to the representative feature of the target-occurrence; and in response to the accessing of selection data corresponding to the target-occurrence, search the first receiver data set for sensor data correlating to the representative feature of the target-occurrence using the selected pattern recognition criteria; and when sensor data correlating to the representative feature of the target-occurrence is found, perform at least one of store the correlated sensor data in a retained data storage or provide an indication of a discovered sensor data correlation; and delete the received sensor data having the respective parameter from the first receiver data set according to a deletion sequence, wherein the deletion sequence includes deleting searched sensor data not correlated to the representative feature of the target-occurrence. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. An occurrence-data storage system, comprising:
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a data storage device coupled with a computing component operable to receive sensor data from one or more motes, the sensor data having at least one parameter representing a feature having a correlation to an occurrence; and one or more instructions loaded on the data storage device that, when executed by the computing component, configure the computing component to; receive sensor data from the one or more motes into a received data set; receive an input selection defining an event corresponding to a target-occurrence having a representative feature, the representative feature including at least one recognizable pattern of at least one parameter in the sensor data received from the one or more motes; select a pattern recognition criteria corresponding to the representative feature of the target-occurrence; and in response to the input selection defining the event corresponding to the target-occurrence, automatically search the received data set for sensor data correlating to the representative feature of the target-occurrence using the selected pattern recognition criteria; when received sensor data correlating to the representative feature of the target-occurrence is found, store the correlated received sensor data in a retained data storage; and delete the sensor data related to the at least one parameter from the received data set according to a deletion sequence, wherein the deletion sequence includes deleting searched sensor data not correlated to the representative feature of the target-occurrence. - View Dependent Claims (24)
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Specification