Industrial process data acquisition and analysis
First Claim
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1. A method for optimizing an industrial process, comprising:
- collecting data from a plurality of sensor elements, wherein each sensor element collects data from a portion of the industrial process;
filtering the collected data by;
computing the mean and standard deviation of the collected data and separating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data is a preselected multiple of the standard deviation above or a preselected multiple of the standard deviation below, respectively, the computed mean;
orseparating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data repeats itself within a given time threshold;
orseparating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data is below a preselected threshold;
generating at least one recommendation for optimizing the industrial process based upon the collection of filtered data; and
presenting the at least one recommendation generated to an administrator of the industrial process.
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Abstract
A method for optimizing an industrial process data is disclosed. The method includes collecting data from a plurality of sensor elements, wherein each sensor element collects data from a portion of the industrial process and verifying the data collected. The method further includes analyzing the data collected for efficiency and generating at least one recommendation for optimizing the industrial process. The method further includes presenting the at least one recommendation generated to an administrator of the industrial process.
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Citations
20 Claims
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1. A method for optimizing an industrial process, comprising:
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collecting data from a plurality of sensor elements, wherein each sensor element collects data from a portion of the industrial process; filtering the collected data by; computing the mean and standard deviation of the collected data and separating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data is a preselected multiple of the standard deviation above or a preselected multiple of the standard deviation below, respectively, the computed mean;
orseparating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data repeats itself within a given time threshold;
orseparating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data is below a preselected threshold; generating at least one recommendation for optimizing the industrial process based upon the collection of filtered data; and presenting the at least one recommendation generated to an administrator of the industrial process. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A system comprising one or more computer-readable media encoded with computer-readable instructions for optimizing an industrial process which, when executed, implement a method for:
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collecting data from a plurality of sensor elements, wherein each sensor element collects data from a portion of the industrial process; filtering the data collected by; computing the mean and standard deviation of the collected data and separating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data is a preselected multiple of the standard deviation above or a preselected multiple of the standard deviation below, respectively, the computed mean;
orseparating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data repeats itself within a given time threshold;
orseparating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data is below a preselected threshold; generating at least one recommendation for optimizing the industrial process based upon the collection of filtered data; and presenting the at least one recommendation generated to an administrator of the industrial process. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. An information processing system for optimizing an industrial process, comprising:
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a memory for storing data from a plurality of sensor elements, wherein each sensor element collects data from a portion of the industrial process; a processor configured for filtering the data collected by; computing the mean and standard deviation of the collected data and separating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data is a preselected multiple of the standard deviation above or a preselected multiple of the standard deviation below, respectively, the computed mean;
orseparating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data repeats itself within a given time threshold;
orseparating the collected data into a collection of spurious data and a collection of filtered data based upon whether the collected data is below a preselected threshold; and generating at least one recommendation for optimizing the industrial process based upon the collection of filtered data; and an interface for presenting the at least one recommendation generated to an administrator of the industrial process. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification