Methods and systems for the industrial internet of things

A monitoring system for data collection in an industrial environment, the monitoring system comprising:

• a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors;
• at least two multiplexors (MUX), each having inputs corresponding to a subset of the detection values and each providing a data stream as output;
• a MUX control circuit structured to interpret a subset of the plurality of detection values and provide the logical control of the at least two MUX and control of a correspondence of MUX input and detected values as a result, wherein the logic control of the MUX comprises an adaptive scheduling of one or more select lines;
• a data analysis circuit structured to receive the data stream from at least one of the at least two MUX and data corresponding to the logic control of the MUX resulting in a component health status;
• and
• an analysis response circuit structured to perform at least one operation in response to the component health status, wherein the plurality of sensors includes at least two sensors selected from the group consisting of a temperature sensor, a load sensor, a vibration sensor, an acoustic wave sensor, a heat flux sensor, an infrared sensor, an accelerometer, a tri-axial vibration sensor and a tachometer.

A system for data collection in an industrial environment having a self-sufficient data acquisition box for capturing and analyzing data in an industrial process, the system comprising:

• a data circuit for analyzing a plurality of sensor inputs from one or more sensors;
• and
• a network control circuit for sending and receiving information related to the sensor inputs to an external system;
• wherein the system provides sensor data to one or more similarly configured systems and wherein the data circuit dynamically reconfigures a route by which data is sent based, at least in part, on a number of other devices requesting the information.

A method for data collection in an industrial production environment, the method comprising:

• analyzing with a processor a plurality of sensor inputs, wherein the plurality of sensor inputs is configured to sense a health status of a component of at least one target system;
• sampling with the processor data received from at least one of the plurality of sensor inputs;
• and
• self-organizing with the processor at least one of:
• (i) a storage operation of the data;
• (ii) a collection operation of one or more sensors adapted to provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs.

A system for data collection in an industrial production environment, the system comprising:

• one or more sensors adapted to provide a plurality of sensor inputs, wherein the one or more sensors are configured to sense a health status of a component of at least one target system;
• and
• a data collector comprising a processor and adapted to analyze the plurality of sensor inputs, sample data received from at least one of the plurality of sensor inputs and self-organize at least one of:
• (i) a storage operation of the data;
• (ii) a collection operation of one or more sensors adapted to provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs.

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.

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;
• 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:
• 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.

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.

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.

A system for self-organizing collection and storage of data collection in a power generation environment, the system comprising:

• a data collector for handling a plurality of sensor inputs from one or more sensors in the power generation environment, wherein the plurality of sensor inputs is configured to sense at least one of an operational mode, a fault mode, and a health status of at least one target system of the power generation environment;
• and
• a self-organizing system for self-organizing at least one of (i) a storage operation of the data;
• (ii) a data collection operation of the sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs.

A system for self-organizing collection and storage of data collection in an energy source extraction environment, the system comprising:

• a data collector for handling a plurality of sensor inputs from sensors in the energy extraction environment, wherein the plurality of sensor inputs is configured to sense at least one of an operational mode, a fault mode, and a health status of at least one target system of the energy extraction environment;
• and
• a self-organizing system for self-organizing at least one of (i) a storage operation of the data;
• (ii) a data collection operation of the sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs.

A system for self-organizing collection and storage of data collection in a refining environment, the system comprising:

• a data collector for handling a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of an operational mode, a fault mode and a health status of at least one target system;
• and
• a self-organizing system for self-organizing at least one of (i) a storage operation of the data;
• (ii) a data collection operation of the sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs.