Methods and systems for detection in an industrial internet of things data collection environment with intelligent management of data selection in high data volume data streams
Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels, wherein at least one input channel is connected to a high data rate source; a data storage structured to store detection parameters for the plurality of input channels, wherein a high data rate detection parameter is stored, wherein the high data rate detection parameter comprises at least a portion of data from the high data rate source; a data analysis circuit structured to analyze the plurality of detection values by evaluating a data handling constraint of the monitoring system with respect to the high data rate detection parameter; and a response circuit structured to adjust a data selection parameter to thereby adjust a data volume handled by the monitoring system in response to the data handling constraint.
1. A monitoring system for data collection in an industrial environment, the system comprising:
a data collector communicatively coupled to a plurality of input channels, wherein at least one input channel is connected to a high data rate source;
a data storage structured to store detection parameters for the plurality of input channels, wherein a high data rate detection parameter is stored, wherein the high data rate detection parameter comprises at least a portion of data from the high data rate source;
a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels, and wherein the plurality of detection values comprises the high data rate detection parameter;
a data analysis circuit structured to analyze the plurality of detection values by evaluating a data handling constraint of the monitoring system with respect to the high data rate detection parameter, wherein the data handling constraint is based at least in part on a data storage constraint; and
a response circuit structured to adjust a data selection parameter to thereby adjust a data volume handled by the monitoring system in response to the data handling constraint.
2. The system of claim 1 , wherein the data handling constraint is further based at least in part on a data communication constraint.
3. The system of claim 1 , wherein the high data rate source comprises at least one of frequency information or vibration information.
4. The system of claim 3 , wherein the data analysis circuit further comprises a pattern recognition circuit structured to analyze a subset of the plurality of detection values with at least one of a neural net or an expert system for controlling data collection bands.
5. The system of claim 1 , wherein the data collector utilizes hierarchical templates to determine a data acquisition route for collecting data from the plurality of input channels.
6. The system of claim 1 , further comprising a cognitive input selection facility that anticipates state information from machine learning and pattern recognition to optimize an adjustment of the data selection parameter.
7. The system of claim 1 , wherein the data collector is one of a plurality of data collectors comprising a self-organized swarm of data collectors, wherein the self-organized swarm of data collectors organize among themselves to optimize data collection based at least in part on the high data rate detection parameter.
8. The system of claim 1 , wherein the data storage for the high data rate source is a distribution of data storage.
9. A computer-implemented method for data collection in an industrial environment, the method comprising:
collecting data from a plurality of input channels communicatively coupled to a data collector, wherein at least one input channel is connected to a high data rate source comprising vibration information;
storing detection parameters in a data storage for the plurality of input channels, wherein a high data rate detection parameter is stored, wherein the high data rate detection parameter comprises at least a portion of data from the high data rate source;
interpreting a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels, and wherein the plurality of detection values comprises the high data rate detection parameter;
analyzing the plurality of detection values by evaluating a data handling constraint with respect to the high data rate detection parameter; and
adjusting a data selection parameter, thereby adjusting a data volume handled in response to the data handling constraint.
10. The method of claim 9 , wherein the data handling constraint is at least one of a data storage constraint or data communication constraint.
11. The method of claim 9 , wherein the high data rate source further comprises frequency information.
12. The method of claim 9 , wherein the analyzing of the plurality of detection values further comprises analyzing a subset of the plurality of detection values with at least one of a neural net or an expert system for controlling data collection bands.
13. The method of claim 9 , wherein the collecting data from the plurality of input channels utilizes hierarchical templates to determine a data acquisition route for collecting data from the plurality of input channels.
14. The method of claim 9 , further comprising anticipating state information from machine learning and pattern recognition to optimize an adjustment of the data selection parameter.
15. An apparatus for monitoring data collection in an industrial environment, the apparatus comprising:
a data collector communicatively coupled to a plurality of input channels, wherein at least one input channel is connected to a high data rate source;
a data storage structured to store detection parameters for the plurality of input channels, wherein a high data rate detection parameter is stored, wherein the high data rate detection parameter comprises at least a portion of data from the high data rate source;
a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels, and wherein the plurality of detection values comprises the high data rate detection parameter;
a data analysis circuit structured to analyze the plurality of detection values by evaluating a data handling constraint with respect to the high data rate detection parameter, the data analysis circuit further comprising a pattern recognition circuit structured to analyze a subset of the plurality of detection values with at least one of a neural net or an expert system for controlling data collection bands; and
a response circuit structured to adjust a data selection parameter to thereby adjust a data volume handled in response to the data handling constraint,
wherein the data handling constraint is a maximum data handling capability of a data handling component of the apparatus for monitoring data collection.
16. The apparatus of claim 15 , wherein the data handling constraint is at least one of a data storage constraint or data communication constraint.
17. The apparatus of claim 16 , wherein the high data rate source comprises frequency information.
18. The apparatus of claim 17 , wherein the high data rate source further comprises vibration information.
19. The apparatus of claim 18 , wherein the data handling constraint comprises the data storage constraint at a first operating condition of the industrial environment, and comprises the data communication constraint at a second operating condition of the industrial environment.
20. The apparatus of claim 19 , wherein the data collector utilizes hierarchical templates to determine a data acquisition route for collecting data from the plurality of input channels.