METHODS AND SYSTEMS FOR DATA DETECTION AND DISPLAY IN AN INDUSTRIAL ENVIRONMENT WITH INTERNET OF THINGS DATA COLLECTION INCLUDING AN ADAPTIVE HEAT MAP

1 . (canceled)

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

a data collector configured to collect data from at least one of a plurality of sensors in the industrial environment;

an expert system configured to:

analyze the collected data resulting in analyzed collected data;

determine at least one of an error or a fault, wherein the at least one of the error or the fault is based, at least in part, on at least a portion of the analyzed collected data; and

generate a heat map for at least a portion of the industrial environment, wherein the heat map is based, at least in part, on the at least one of the error or the fault; and

a heat map interface to present the generated heat map to a user.

3 . The monitoring system of claim 2 , wherein the generation of the heat map is further based, at least in part, on at least one model of a plurality of models, and wherein a portion of the at least one model of the plurality of models utilizes at least a portion of the analyzed collected data.

4 . The monitoring system of claim 3 , further comprising a learning feedback system configured to optimize an effectiveness of the heat map.

5 . The monitoring system of claim 4 , further comprising:

a user monitor configured to receive user data indicative of a behavior of a user; and

a user analyzer configured to analyze the user data,

wherein the learning feedback system is further configured to update at least one of the plurality of models used by the expert system to generate the heat map based on the analyzed user data.

6 . The monitoring system of claim 5 , wherein the heat map interface comprises an interface to an AR/VR device, and wherein the update to the at least one of the plurality of models comprises at least one of a change in an output selection, a color, a visual representation element, a timing, an intensity level, or a duration of a signal in the generated heat map.

7 . The monitoring system of claim 5 , wherein the update to the at least one of the plurality of models comprises at least one of a change in an output selection, a change in timing, a change in an intensity level, or a change in a duration of a signal in the generated heat map.

8 . The monitoring system of claim 5 , wherein the heat map is updated, based, at least in part, on the updated at least one of the plurality of models, to improve an effectiveness of an impact on a behavior of the user.

9 . A method for monitoring an industrial environment, the method comprising:

analyzing data from a plurality of sensors in the industrial environment;

determining at least one of an error or a fault in the industrial environment, wherein the at least one of the error or the fault is based, at least in part, on the analyzed data;

generating a heat map for at least a portion of the industrial environment based, at least in part, on the error or the fault;

providing the heat map to a user;

recording a behavior of the user; and

updating the heat map based, at least in part, on the recorded behavior of the user.

10 . The method of claim 9 , wherein the heat map comprises an indicator of the determined at least one of the error or the fault.

11 . The method of claim 10 , wherein the heat map further comprises at least one of a real world location coordinate, a location on a map, a time-based coordinate, or a frequency-based coordinate to indicate a location corresponding to at least a portion of the analyzed data used in the determination of the at least one of the error or the fault.

12 . The method of claim 11 , wherein the heat map is updated to achieve an intended impact on a behavior of a user, and wherein the intended impact thereby results in an improvement in at least one of a desired system outcome, a data collection outcome, or an analytic outcome.

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

a data collector configured to collect data from at least one of a plurality of sensors in the industrial environment;

an expert system configured to:

analyze the collected data resulting in analyzed collected data; and

generate a heat map for at least a portion of the industrial environment based, at least in part, on the analyzed data, wherein the generated heat map comprises at least one of an indicator of a level of rotation, a level of vibration, a temperature, a level of heating, a level of cooling, or a pressure; and

a heat map interface to provide the generated heat map to an AR/VR device worn by a user,

wherein at least a portion of the generated heat map is aligned in a view of the AR/VR device with at least one of the plurality of sensors whose corresponding collected data was at least partially a basis for the portion of the heat map, and

wherein the data collector is further configured to collect user data, representative of a behavior of the user, from the AR/VR device.

14 . The monitoring system of claim 13 , wherein the expert system is further configured to identify at least one of an error or a fault, wherein the at least one of the error or the fault is based on the analyzed collected data, and wherein the generated heat map further comprises a representation of the identified at least one of the error or the fault.

15 . The monitoring system of claim 14 , wherein the generation of the heat map is further based, at least in part, on at least one rule of a plurality of rules.

16 . The monitoring system of claim 15 , further comprising a learning feedback system configured to improve an effectiveness of the heat map interface.

17 . The monitoring system of claim 16 , further comprising:

wherein the expert system is further configured to analyze the user data,

wherein the learning feedback system is further configured to update at least one of the plurality of rules used by the expert system to generate the heat map based on the analyzed user data, and

wherein the update to the at least one of the plurality of rules results in at least one of a change in an output selection, a color, a visual representation element, a timing, an intensity level, or a duration of a signal in the generated heat map.

18 . The monitoring system of claim 17 , wherein the learning feedback system updates the at least one of the plurality of rules to improve the effectiveness of the heat map interface in impacting a behavior of a user to generate a desired outcome.

19 . The monitoring system of claim 18 , wherein the learning feedback system is trained, at least in part, with analyzed user data collected in response to a corresponding simulated heat maps and a corresponding outcome.

20 . The monitoring system of claim 18 , wherein the learning feedback system is trained using historic data comprising at least two of analyzed user data, corresponding heat map data, or corresponding outcome.

21 . The monitoring system of claim 18 , wherein the desired outcome comprises at least one of a system outcome, a data collection outcome, or an analytic outcome.