AUTOMATIC SIGNAL PROCESSING-BASED LEARNING IN A PROCESS PLANT
First Claim
1. A system for providing big data based learning in a process plant controlling a process, the system comprising:
- a signal processing module including;
an input to receive a signal generated by a signal source associated with the process plant as the signal source generates the signal in real-time, the signal indicative of a parameter value that varies over time based on the process plant controlling the process by using at least one field device that performs a physical function; and
an output to provide, to a recipient application, an indication of at least one characteristic of the signal,the signal processing module configured to perform signal processing on the signal to determine the at least one characteristic of the signal.
1 Assignment
0 Petitions
Accused Products
Abstract
Techniques for automatically or autonomously performing signal processing-based learning in a process plant are disclosed. Generally, said techniques automatically or autonomously perform signal processing on a real-time signal that is generated based on the process plant controlling a process. Typically, the signal corresponds to a parameter value that varies over time, and the signal is processed as it is generated in real-time during on-line plant operations. Results of the signal processing may indicate characteristics of the signal, and one or more analytics functions may determine the sources of the characteristics, which may include a process element or device, a piece of equipment, and/or an asset of the process plant that is upstream, within the process, of the source of the signal. An autonomous signal processor may be integrated with or included in a process control device and/or a big data node of the process plant.
-
Citations
46 Claims
-
1. A system for providing big data based learning in a process plant controlling a process, the system comprising:
a signal processing module including; an input to receive a signal generated by a signal source associated with the process plant as the signal source generates the signal in real-time, the signal indicative of a parameter value that varies over time based on the process plant controlling the process by using at least one field device that performs a physical function; and an output to provide, to a recipient application, an indication of at least one characteristic of the signal, the signal processing module configured to perform signal processing on the signal to determine the at least one characteristic of the signal. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
-
22. A system for automatically performing big data based learning in a process plant controlling a process, the system comprising:
-
a signal processing module configured to; receive a signal generated by a signal source as the signal source generates the signal in real-time, the signal indicative of a value of a parameter that varies over time based on the process plant controlling the process by using at least one field device performing a respective physical function; and perform signal processing on the signal to determine one or more characteristics of the signal; and an analytics module configured to; receive an indication of the one or more characteristics determined by the signal processing module; determine one or more sources of the one or more characteristics of the signal, the one or more sources being one or more members of a set of elements that are upstream, within the process, of the signal, and each of the one or more members of the set of upstream elements has a respective impact on the one or more characteristics of the signal that is greater than a respective impact of at least one other member of the set of upstream elements that is not included in the one or more members; and cause an indication of the one or more sources of the one or more characteristics of the signal to be provided to a recipient application, the recipient application being a user interface application or another application. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
-
-
37. A method for providing big data based-learning in a process plant controlling a process, the method comprising:
-
obtaining, at a signal processing-based learning system, indications of variations over time of a value of a parameter, the variations over time of the parameter value being a signal generated by a signal source, the variations over time of the parameter value generated based on controlling the process in the process plant, and the signal being obtained as the signal source generates the signal in real-time; causing, by the signal processing-based learning system, one or more signal processing functions to be applied to the signal; determining, by the signal processing-based learning system, at least one characteristic of the signal based on the application of the one or more signal processing functions; determining, by the signal processing-based learning system, at least a subset of a set of elements that are upstream, within the process, of the signal to be one or more sources of the at least one characteristic of the signal, the determination of the at least the subset based on respective strengths of impact of the set of upstream elements on the at least one characteristic of the signal; and causing, by the signal processing-based learning system, an indication of the one or more sources of the at least one characteristic of the signal to be provided to a recipient application, the recipient application being a user interface application or another application. - View Dependent Claims (38, 39, 40, 41, 42, 43, 44, 45, 46)
-
Specification