CORRELATION AND PREDICTION ANALYSIS OF COLLECTED DATA
First Claim
1. A method for managing sensor data, comprising:
- employing a collection computer to automatically detect and monitor each of a plurality of sensors that is currently providing real-time data regarding at least one characteristic of a first machine, wherein the collection computer is coupled to the first machine and in communication with a remotely located server computer, and wherein the collection computer provides the real-time data for each of the plurality of detected sensors to the server computer;
automatically generating a template for the first machine based on one or more types of the plurality of sensors detected by the collection computer, wherein the template includes a plurality of predetermined visualizations for one or more of the detected sensors;
employing the server computer to determine a pattern in the provided real-time data that equates to another pattern identified in real-time data for another plurality of sensors that was previously provided to the server computer, wherein the other plurality of sensors provide real-time data regarding at least one characteristic of a second machine that equates to real-time data regarding the at least one characteristic of the first machine;
employing a comparison of the pattern and the other pattern to identify at least one event that previously occurred at the second machine, wherein a positive comparison is employed as a prediction that the event corresponding to the second machine is likely to happen to the first machine; and
alerting at least one user of the first machine of the prediction, wherein the alert includes at least one recommendation to either prevent or resolve an occurrence of the event at the first machine.
2 Assignments
0 Petitions
Accused Products
Abstract
Embodiments are directed towards a collection computer that automatically detects and monitors each of a plurality of sensors that are currently providing real-time data regarding characteristics of a first machine. A pattern in the provided real-time data may be determined based on a comparison to another pattern from previously provided real-time data from other sensors associated with a second machine. The comparison is employed to identify an event that previously occurred at the second machine, where a positive comparison may be employed as a prediction that the event corresponding to the second machine is about to happen to the first machine. Based on this prediction, an alert may be provided to at least one user of the first machine. The alert may include information, such as a component has failed, is currently failing, or is about to fail.
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Citations
30 Claims
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1. A method for managing sensor data, comprising:
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employing a collection computer to automatically detect and monitor each of a plurality of sensors that is currently providing real-time data regarding at least one characteristic of a first machine, wherein the collection computer is coupled to the first machine and in communication with a remotely located server computer, and wherein the collection computer provides the real-time data for each of the plurality of detected sensors to the server computer; automatically generating a template for the first machine based on one or more types of the plurality of sensors detected by the collection computer, wherein the template includes a plurality of predetermined visualizations for one or more of the detected sensors; employing the server computer to determine a pattern in the provided real-time data that equates to another pattern identified in real-time data for another plurality of sensors that was previously provided to the server computer, wherein the other plurality of sensors provide real-time data regarding at least one characteristic of a second machine that equates to real-time data regarding the at least one characteristic of the first machine; employing a comparison of the pattern and the other pattern to identify at least one event that previously occurred at the second machine, wherein a positive comparison is employed as a prediction that the event corresponding to the second machine is likely to happen to the first machine; and alerting at least one user of the first machine of the prediction, wherein the alert includes at least one recommendation to either prevent or resolve an occurrence of the event at the first machine. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A processor readable non-transitory storage media that includes instructions for managing sensor data, wherein the execution of the instructions by a processor enables actions, comprising:
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employing a collection computer to automatically detect and monitor each of a plurality of sensors that is currently providing real-time data regarding at least one characteristic of a first machine, wherein the collection computer is coupled to the first machine and in communication with a remotely located server computer, and wherein the collection computer provides the real-time data for each of the plurality of detected sensors to the server computer; automatically generating a template for the first machine based on one or more types of the plurality of sensors detected by the collection computer, wherein the template includes a plurality of predetermined visualizations for one or more of the detected sensors; employing the server computer to determine a pattern in the provided real-time data that equates to another pattern identified in real-time data for another plurality of sensors that was previously provided to the server computer, wherein the other plurality of sensors provide real-time data regarding at least one characteristic of a second machine that equates to real-time data regarding the at least one characteristic of the first machine; employing a comparison of the pattern and the other pattern to identify at least one event that previously occurred at the second machine, wherein a positive comparison is employed as a prediction that the event corresponding to the second machine is likely to happen to the first machine; and alerting at least one user of the first machine of the prediction, wherein the alert includes at least one recommendation to either prevent or resolve an occurrence of the event at the first machine. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A system for managing sensor data, comprising:
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a collection computer that performs actions, including; automatically detecting and monitoring each of a plurality of sensors that is currently providing real-time data regarding at least one characteristic of a first machine, wherein the collection computer is coupled to the first machine and in communication with a remotely located server computer, and wherein the collection computer provides the real-time data for each of the plurality of detected sensors to the server computer; the server computer performs actions, including; automatically generating a template for the first machine based on one or more types of the plurality of sensors detected by the collection computer, wherein the template includes a plurality of predetermined visualizations for one or more of the detected sensors; determining a pattern in the provided real-time data that equates to another pattern identified in real-time data for another plurality of sensors that was previously provided to the server computer, wherein the other plurality of sensors provide real-time data regarding at least one characteristic of a second machine that equates to real-time data regarding the at least one characteristic of the first machine; employing a comparison of the pattern and the other pattern to identify at least one event that previously occurred at the second machine, wherein a positive comparison is employed as a prediction that the event corresponding to the second machine is likely to happen to the first machine; and alerting at least one user of the first machine of the prediction, wherein the alert includes at least one recommendation to either prevent or resolve an occurrence of the event at the first machine. - View Dependent Claims (18, 19, 20, 21, 22, 23)
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24. A network computer for managing sensor data for a machine, comprising:
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a memory for storing at least instructions; and a processor that executes the instructions to enable actions, including enabling a collection computer to automatically detect and monitor each of a plurality of sensors that is currently providing real-time data regarding at least one characteristic of a first machine, wherein the collection computer is coupled to the first machine and in communication with a remotely located server computer, and wherein the collection computer provides the real-time data for each of the plurality of detected sensors to the server computer; automatically generating a template for the first machine based on one or more types of the plurality of sensors detected by the collection computer, wherein the template includes a plurality of predetermined visualizations for one or more of the detected sensors; determining a pattern in the provided real-time data that equates to another pattern identified in real-time data for another plurality of sensors that was previously provided to the server computer, wherein the other plurality of sensors provide real-time data regarding at least one characteristic of a second machine that equates to real-time data regarding the at least one characteristic of the first machine; employing a comparison of the pattern and the other pattern to identify at least one event that previously occurred at the second machine, wherein a positive comparison is employed as a prediction that the event corresponding to the second machine is likely to happen to the first machine; and alerting at least one user of the first machine of the prediction, wherein the alert includes at least one recommendation to either prevent or resolve an occurrence of the event at the first machine. - View Dependent Claims (25, 26, 27, 28, 29, 30)
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Specification