METHODS AND SYSTEMS FOR ADAPTION OF DATA COLLECTION UNDER ANOMALOUS CONDITIONS IN AN INTERNET OF THINGS MINING ENVIRONMENT

1 . A monitoring system for data collection in a mining environment, the system comprising:

a data collector communicatively coupled to a plurality of input channels;

a data storage structured to store a plurality of collector routes and collected data that correspond to the plurality of input channels, wherein the plurality of collector routes each comprise a different data collection routine, and wherein the collected data comprises data provided by a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of a mining process;

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

a data analysis circuit structured to analyze the collected data from the plurality of input channels and evaluate a collection routine of the data collector based on the analyzed collected data,

wherein the analysis of the collected data reveals an anomalous condition; and

a data response circuit structured to alter an operational parameter of the mining process based on the anomalous condition.

2 . The system of claim 1 , wherein the anomalous condition comprises a pre-failure mode condition for one of the plurality of components.

3 . The system of claim 1 , wherein the altered operational parameter is an operational parameter of one of the plurality of components.

4 . The system of claim 3 , wherein the data response circuit is further structured to adjust the operational parameter by adjusting at least one of: one of the plurality of collector routes and one of the data collection routines.

5 . The system of claim 1 , wherein the altered operational parameter is one of the plurality of collector routes of the data collector, and wherein the data response circuit is further structured to alter the one of the plurality of collector routes to increase data monitoring of one of the plurality of components.

6 . The system of claim 1 , wherein one of the plurality of input channels is a continuously monitored alarm, and wherein the anomalous condition is an alarm condition.

7 . The system of claim 1 , wherein the anomalous condition comprises an anomalous operational mode for one of the plurality of components, and wherein the data response circuit is further structured to communicate an alarm to a haptic feedback user device in response to the anomalous condition.

8 . The system of claim 1 , wherein the altered operational parameter is a data transmission multiplexing of the data collected from the plurality of input channels.

9 . The system of claim 1 , wherein the data analysis circuit is further structured to utilize a neural network model to detect the anomalous condition.

10 . The system of claim 9 , wherein the neural network model is a probabilistic neural network that predicts a fault condition for one of the plurality of components.

11 . The system of claim 9 , wherein the neural network model is a time delay neural network trained on data collected over time from the plurality of input channels.

12 . The system of claim 9 , wherein the neural network model is a convolutional neural network which provides a recommended route change for one of the plurality of collector routes of the data collector.

13 . The system of claim 9 , wherein the data analysis circuit further comprises an expert system that switches a structure of the neural network based on the data collected from the plurality of input channels.

14 . A computer-implemented method for monitoring data collection in a mining environment, the method comprising:

collecting data from a plurality of input channels, wherein the collected data comprises data provided by a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of a mining process;

accessing a plurality of collector routes on a data storage, and storing the collected data on the data storage, wherein the plurality of collector routes each comprise a different data collection routine;

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

analyzing the collected data and evaluating a collection routine of the data collector based on the analyzed collected data,

wherein the analysis of the collected data reveals an anomalous condition; and

altering an operational parameter of the mining process based on the anomalous condition.

15 . The method of claim 14 , wherein the anomalous condition comprises a pre-failure mode condition for one of the plurality of components, and wherein the altering the operational parameter comprises increasing data monitoring of the one of the plurality of components.

16 . The method of claim 14 , wherein the analyzing comprises determining a vibrational fingerprint for one of the plurality of components.

17 . The method of claim 14 , wherein the anomalous condition comprises a reduced operating capability for one of the plurality of components, and wherein the altering comprises adjusting an operational parameter of the mining process to reduce a work load of the one of the plurality of components.

18 . A monitoring apparatus for data collection in a mining environment, the apparatus comprising:

a data collector component communicatively coupled to a plurality of input channels;

a data storage component configured to store a plurality of collector routes and collected data that correspond to the plurality of input channels, wherein the plurality of collector routes each comprise a different data collection routine, and wherein the collected data comprises data provided by a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of a mining process;

a data acquisition component configured 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;

a data analysis component configured to analyze the collected data from the plurality of input channels and evaluate a collection routine of the data collector based on the analyzed collected data,

wherein the analysis of the collected data reveals an anomalous condition for one of the mining process or one of the plurality of components; and

a data response component configured to alter an operational parameter based on the anomalous condition.

19 . The apparatus of claim 18 , wherein the anomalous condition comprises the data storage component accessing a haptic feedback user device to store or communicate a portion of the collected data, and wherein the data response component is further configured to communicate an alert to the haptic feedback user device in response to the anomalous condition.

20 . The apparatus of claim 18 , wherein the anomalous condition is a reduced network capability, and wherein the data response circuit is further structured to adjust a collector route of the data collector in response to the anomalous condition.