SYSTEMS AND METHODS FOR DATA COLLECTION IN AN INDUSTRIAL ENVIRONMENT
An example monitoring system for data collection includes a data collector including a plurality of sensor. The system includes a data storage to store a collector route template for the plurality of sensors with a sensor collection routine defining how the plurality of sensors. The system includes a data acquisition and analysis circuit to receive detection signals and evaluate the detection values with respect to a rule, and further, based on the evaluation of the detection values with respect to the rule, to modify the sensor collection routine.
1 . (canceled)
2 . A system comprising:
a graphical user interface comprising representations of a plurality of industrial machines of an industrial machine from an industrial environment in which a plurality of sensors is deployed and from which a data routing and collection system collects data for the system, wherein the graphical user interface enables interaction, and wherein at least one industrial machine of the plurality of industrial machines is selectable by a user of the graphical user interface; and
an artificial intelligence model that is configured to predict industrial machine failure modes of at least one industrial machine based on sensor data associated the at least one industrial machine,
wherein the graphical user interface is configured to,
process the data collected by the data routing and collection system with the artificial intelligence model,
receive, from the artificial intelligence model, a prediction of an industrial machine failure mode based on the data collected by the data routing and collection system, and,
in response to the prediction of the industrial machine failure mode by the artificial intelligence model,
present, to the user, a visual indication of the industrial machine failure mode predicted by the artificial intelligence model, and
implement a data collection template for configuring the data routing and collection system, thereby configuring the data routing and collection system to automatically collect data from one or more sensors, of the plurality of sensors, associated with the at least one industrial machine to detect the industrial machine failure mode predicted by the artificial intelligence model.
3 . The system of claim 2 , wherein the artificial intelligence model is configured to predict industrial machine failure modes of at least one industrial machine based on training data that associates collected sensor data associated with at least one industrial machine with an industrial machine failure mode that is indicated by the collected sensor data.
4 . The system of claim 2 , wherein,
the artificial intelligence model is further configured to generate a reliability measure associated with the at least one industrial machine based on the data collected by the data routing and collection system, and
the graphical user interface is further configured to display, for the user, the reliability measure associated with the at least one industrial machine.
5 . The system of claim 4 , wherein the industrial machine failure mode predicted by the artificial intelligence model is based on at least one of, stress, vibration, heat, wear, ultrasonic signature, operational deflection shape effect, industry average data, manufacturer's specifications, manufacturer's material specifications, or manufacturer's recommendations.
6 . The system of claim 5 , wherein the manufacturer's specifications comprises at least one of a cycle count, a working time, a maintenance recommendation, a maintenance schedule, an operational limit, a material limit, or a warranty term.
7 . The system of claim 6 , wherein the data routing and collection system is further configured to correlate the plurality of sensors in the industrial environment to the manufacturer's specifications.
8 . The system of claim 7 , wherein the data routing and collection system is further configured to correlate the plurality of sensors in the industrial environment to the manufacturer's specifications based on at least one of, matching a duty cycle specification to at least one sensor that detects revolutions of a moving part, or matching a temperature specification with a thermal sensor disposed to sense an ambient temperature proximal to the industrial machine.
9 . The system of claim 7 , wherein the data routing and collection system is further configured to determine at least one of the plurality of sensors for detecting a data value outside of an acceptable range based on a result of correlating the plurality of sensors in the industrial environment to the manufacturer's specifications.
10 . The system of claim 2 , further comprising a database of a plurality of conditions for one or more sensors of a list of sensors that correspond to the industrial machine failure mode, and the graphical user interface is further configured to,
retrieve, from the database, a condition for at least one sensor of the plurality of sensors in response to the prediction of the industrial machine failure mode, and
present, to the user, a visual indication of the condition for the at least one sensor of the plurality of sensors in response to the prediction of the industrial machine failure mode.
11 . The system of claim 2 , further comprising a database of a plurality of conditions for one or more sensors of a list of sensors that correspond to the industrial machine failure mode, and the graphical user interface is further configured to,
retrieve, from the database, a condition for at least one sensor of the plurality of sensors in response to the prediction of the industrial machine failure mode, and
implement the data collection template for configuring the data routing and collection system based on the condition for the at least one sensor of the plurality of sensors that was retrieved from the database.
12 . A computer-implemented method, comprising:
presenting, by a graphical user interface, representations of a plurality of industrial machines of an industrial machine from an industrial environment in which a plurality of sensors is deployed and from which a data routing and collection system collects data, wherein the graphical user interface enables interaction, and wherein at least one industrial machine of the plurality of industrial machines is selectable by a user of the graphical user interface;
processing, by the graphical user interface, the data collected by the data routing and collection system with an artificial intelligence model, wherein the artificial intelligence model is configured to predict industrial machine failure modes of at least one industrial machine based on sensor data associated the at least one industrial machine;
receiving, by the graphical user interface and from the artificial intelligence model, a prediction of an industrial machine failure mode based on the data collected by the data routing and collection system; and
in response to the prediction of the industrial machine failure mode by the artificial intelligence model,
presenting, by the graphical user interface and to the user, a visual indication of the industrial machine failure mode predicted by the artificial intelligence model, and
implementing, by the graphical user interface, a data collection template for configuring the data routing and collection system, thereby configuring the data routing and collection system to automatically collect data from one or more sensors, of the plurality of sensors, associated with the at least one industrial machine to detect the industrial machine failure mode predicted by the artificial intelligence model.
13 . The computer-implemented method of claim 12 , wherein the artificial intelligence model is configured to predict industrial machine failure modes of at least one industrial machine based on training data that associates collected sensor data associated with at least one industrial machine with an industrial machine failure mode that is indicated by the collected sensor data.
14 . The computer-implemented method of claim 12 , wherein,
the artificial intelligence model is further configured to generate a reliability measure associated with the at least one industrial machine based on the data collected by the data routing and collection system, and
the computer-implemented method further comprises, displaying, by the graphical user interface and to the user, the reliability measure associated with the at least one industrial machine.
15 . The computer-implemented method of claim 14 , wherein the industrial machine failure mode predicted by the artificial intelligence model is based on at least one of, stress, vibration, heat, wear, ultrasonic signature, operational deflection shape effect, industry average data, manufacturer's specifications, manufacturer's material specifications, or manufacturer's recommendations.
16 . The computer-implemented method of claim 15 , wherein the manufacturer's specifications comprises at least one of a cycle count, a working time, a maintenance recommendation, a maintenance schedule, an operational limit, a material limit, or a warranty term.
17 . The computer-implemented method of claim 16 , further comprising correlating, by the data routing and collection system, the plurality of sensors in the industrial environment to the manufacturer's specifications.
18 . The computer-implemented method of claim 17 , further comprising correlating, by the data routing and collection system, the plurality of sensors in the industrial environment to the manufacturer's specifications based on at least one of, matching a duty cycle specification to at least one sensor that detects revolutions of a moving part, or matching a temperature specification with a thermal sensor disposed to sense an ambient temperature proximal to the industrial machine.
19 . The computer-implemented method of claim 17 , further comprising:
determining, by the graphical user interface, at least one of the plurality of sensors for detecting a data value outside of an acceptable range based on a result of correlating the plurality of sensors in the industrial environment to the manufacturer's specifications; and
configuring, by the graphical user interface, the data routing and collection system based on the at least one of the plurality of sensors.
20 . The computer-implemented method of claim 12 , further comprising
retrieving, by the graphical user interface and from a database of a plurality of conditions for one or more sensors of a list of sensors that correspond to the industrial machine failure mode, a condition for at least one sensor of the plurality of sensors in response to the prediction of the industrial machine failure mode; and
presenting, by the graphical user interface and to the user, a visual indication of the condition for the at least one sensor of the plurality of sensors in response to the prediction of the industrial machine failure mode.
21 . The computer-implemented method of claim 12 , further comprising:
retrieving, by the graphical user interface and from a database of a plurality of conditions for one or more sensors of a list of sensors that correspond to the industrial machine failure mode, a condition for at least one sensor of the plurality of sensors in response to the prediction of the industrial machine failure mode; and
implementing, by the graphical user interface, the data collection template for configuring the data routing and collection system based on the condition for the at least one sensor of the plurality of sensors that was retrieved from the database.