Adjustment of data collection rate based on anomaly detection
First Claim
1. An industrial automation system, comprising:
- a coordination component that synchronizes multiple data streams associated with the industrial automation system according to a common timestamp or sequence count generator, wherein each of the multiple data streams has a data sampling rate that defines a rate at which data is collected from the data stream; and
a sample rate adjustment component that varies the data sampling rate of at least one data stream of the multiple data streams based upon at least one of a predetermined criteria or a predicted required sampling rate.
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Abstract
Systems and methods that vary multiple data sampling rates, to collect sets of data with different levels of granularity for an industrial system. The data for such industrial system includes sets of data from the “internal” data stream(s) (e.g., history data collected from an industrial unit) and sets of data from an “external” (e.g., traffic data on network services) data stream(s), based in part on the criticality/importance criteria assigned to each collection stage. Each set of data can be assigned its own unique data collection rate. For example, a higher sample rate can be employed when collecting data from the network during an operation stage that is deemed more critical (e.g., dynamic attribution of predetermined importance factors) than the rest of the operation.
44 Citations
20 Claims
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1. An industrial automation system, comprising:
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a coordination component that synchronizes multiple data streams associated with the industrial automation system according to a common timestamp or sequence count generator, wherein each of the multiple data streams has a data sampling rate that defines a rate at which data is collected from the data stream; and a sample rate adjustment component that varies the data sampling rate of at least one data stream of the multiple data streams based upon at least one of a predetermined criteria or a predicted required sampling rate. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method of collecting data within an industrial plant comprising:
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collecting data from multiple internal and external data streams; maintaining a sequence relationship between multiple internal and external data streams based upon at least one of a common time stamp generator or a common sequence count generator; and adjusting rate of data collection for at least one of the multiple internal and external data streams based upon a predetermined criteria. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. An industrial automation system comprising:
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means for synchronizing multiple data streams associated with the industrial automation system according to a common timestamp or sequence count generator, wherein each of the multiple data streams has a data sampling rate that defines a rate at which data is collected from the data stream; and means for adjusting the data sampling rate of at least one data stream of the multiple data streams based upon at least one of a predetermined criteria or a predicted required sampling rate.
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Specification