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US 10,983,507 B2Granted
Method for data collection and frequency analysis with self-organization functionality
AssigneeStrong Force IOT Portfolio 2016, LLC
InventorsCharles Howard Cella, Mehul Desai, Gerald William Duffy, Jr., Jeffrey P. McGuckin
Life of this patent
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Abstract
A system and method for data collection and frequency analysis with self-organization functionality includes analyzing with a processor a plurality of sensor inputs, sampling with the processor data received from at least one of the plurality of sensor inputs at a first frequency, and self-organizing with the processor a selection operation of the plurality of sensor inputs.
Claims23
A method comprising:
- analyzing with a processor a plurality of sensor inputs;
- sampling with the processor data received from at least one of the plurality of sensor inputs at a first frequency;
- and
- self-organizing with the processor a selection operation of the plurality of sensor inputs, wherein the selection operation comprises:
- receiving a signal relating to at least one condition of an industrial environment;
- and
- based, at least in part, on the signal, changing at least one of the sensor inputs analyzed and sampling the data received from at least one of the plurality of sensor inputs at a second frequency,
- wherein the selection operation further comprises identifying a target signal to be sensed,
- wherein the selection operation further comprises:
- identifying other data collectors sensing in a same signal band as the target signal to be sensed;
- and
- based on the identified other data collectors, changing at least one of the sensor inputs analyzed and a frequency of the sampling;
- wherein the selection operation further comprises:
- receiving data indicative of one or more environmental conditions near a target associated with the target signal;
- comparing the received one or more environmental conditions of the target with past environmental conditions near the target or another target similar to the target;
- and
- based, at least in part, on the comparison, changing at least one of the sensor inputs analyzed and a frequency of the sampling.
14 more elements
A method for data collection in an industrial environment having self-organization functionality, comprising:
- analyzing at a data collector a plurality of sensor inputs from one or more sensors, wherein at least one of the plurality of sensor inputs corresponds to a vibration sensor providing frequency data corresponding to a component of the industrial environment;
- sampling data received from the plurality of sensor inputs;
- receiving data indicative of at least one condition of the industrial environment in proximity to the component of the industrial environment;
- transmitting at least a portion of the received sampled data to another data collector according to a predetermined hierarchy of data collection;
- receiving feedback via a network connection relating to a quality or sufficiency of the transmitted data;
- analyzing the received feedback, and based, at least in part, on the analysis of the received feedback, changing at least one of:
- the sensor inputs analyzed, the frequency of sampling, the data stored, and the data transmitted
- self-organizing at least one of:
- (i) a storage operation of the data;
- (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs,
- wherein the selection operation comprises:
- receiving a signal relating to at least one condition of the component of the industrial environment;
- and
- based, at least in part, on the signal, changing a frequency of the sampling of the one of the plurality of sensor inputs corresponding to the vibration sensor.
11 more elements
A method for data collection in an industrial environment having self-organization functionality, comprising:
- analyzing at a data collector a plurality of sensor inputs from one or more sensors;
- sampling data received from the sensor inputs;
- and
- self-organizing at least one of:
- (i) a storage operation of the data;
- (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs,
- wherein the selection operation comprises:
- identifying a target signal to be sensed;
- receiving a signal relating to at least one condition of the industrial environment,
- based, at least in part, on the signal, changing at least one of the sensor inputs analyzed and a frequency of the sampling;
- receiving data indicative of environmental conditions near a target associated with the target signal;
- transmitting at least a portion of the received sampling data to another data collector according to a predetermined hierarchy of data collection;
- receiving feedback via a network connection relating to one or more yield metrics of the transmitted data;
- analyzing the received feedback, and based on the analysis of the received feedback, changing at least one of the sensor inputs analyzed, the frequency
- of sampling, the data stored, and the data transmitted.
12 more elements
A method for data collection in an industrial environment having self-organization functionality, comprising:
- analyzing at a data collector a plurality of sensor inputs from one or more sensors;
- sampling data received from the sensor inputs;
- and
- self-organizing at least one of:
- (i) a storage operation of the data;
- (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs,
- wherein the selection operation comprises:
- identifying a target signal to be sensed,
- receiving a signal relating to at least one condition of the industrial environment,
- based, at least in part, on the signal, changing at least one of the sensor inputs analyzed and a frequency of the sampling,
- receiving data indicative of environmental conditions near a target associated with the target signal,
- transmitting at least a portion of the received sampling data to another data collector according to a predetermined hierarchy of data collection,
- receiving feedback via a network connection relating to a quality or sufficiency of the transmitted data,
- analyzing the received feedback, and
- based, at least in part, on the analysis of the received feedback, executing a dimensionality reduction algorithm on the sensed data.
12 more elements
Dependencies are inferred from the claim text.