Process plant monitoring based on multivariate statistical analysis and on-line process simulation
View Patent ↗Disclosed are systems and methods for on-line monitoring of operation of a process in connection with process measurements indicative of the operation of the process. In some cases, the operation of the process is simulated to generate model data indicative of a simulated representation of the operation of the process and based on the process measurements. A multivariate statistical analysis of the operation of the process is implemented based on the model data and the process measurements. The output data from the multivariate statistical analysis may then be evaluated during the operation of the process to enable the on-line monitoring of the process involving, for instance, fault detection via classification analysis of the output data.
1. A system for on-line monitoring of operation of a process in a process plant having a process control system to control the process in connection with process measurements indicative of the operation of the process, the system comprising:
a process simulation module to receive one or more process measurements and input at least one of the received process measurements into a model corresponding to one of a plurality of physical devices within the process plant, the model modeling the behavior of the physical device in the process, the simulation module using the model to simulate the operation of the process and generating model data indicative of a simulated representation of the operation of the process, the model data including data of an unmeasurable process parameter;
an analysis module to implement a multivariate statistical analysis of the operation of the process based on the model data and the process measurements;
one or more computer-readable media to store configurations of the process simulation module and the analysis module;
one or more computer-executable execution engines for implementation of the configurations of the process simulation module and the analysis module to enable the on-line monitoring of the process based on communications with the process control system during the operation of the process; and
a process graphic stored in the one or more computer-readable media for use by the one or more execution engines in generating a user interface having a graphic display of the plurality of physical devices modeled by the process simulation module, wherein the graphic display is configured to provide a plurality of display elements representative of current operating conditions of the plurality of physical devices in accordance with the multivariate statistical analysis.
2. The system of claim 1 , wherein the configuration of the analysis module comprises a principal component analysis (PCA) tool to generate output data indicative of differences between the model data and the process measurements.
3. The system of claim 1 , wherein the configuration of the analysis module comprises a partial least squares (PLS) analysis tool to generate output data indicative of differences between the model data and the process measurements.
4. The system of claim 1 , wherein the configuration of the analysis module comprises a principal component analysis (PCA) tool and a partial least squares (PLS) analysis tool utilized in combination to generate output data indicative of differences between the model data and the process measurements.
5. The system of claim 1 , wherein the configuration of the analysis module further comprises an expert analysis tool comprising a rule stored on the one or more computer-readable media and configured to be applied to output data from the multivariate statistical analysis.
6. The system of claim 1 , wherein the configuration of the analysis module further comprises a discriminant analysis tool comprising criteria stored on the one or more computer-readable media and configured to be applied to output data from the multivariate statistical analysis.
7. The system of claim 1 , wherein the model data comprises process parameter data indicative of a future operational state of the process based on the process measurements, such that the implementation of the multivariate statistical analysis utilizes the process parameter data to evaluate the future operational state of the process.
8. The system of claim 1 , wherein the model data comprises a non-measured process parameter indicative of the operation of the process and derived from the process measurements, and wherein the configuration of the analysis module is adapted to analyze the non-measured process parameter.
9. The system of claim 1 , wherein each display element of the plurality of display elements is individually selectable to configure the analysis module.
10. The system of claim 1 , wherein the process control system comprises a process control module, which, in turn, comprises a plurality of process control routines stored in the one or more computer-readable media and configured to support transmission of the process measurements to the process simulation module and the analysis module during the operation of the process.
11. The system of claim 1 , wherein the configuration of the analysis tool comprises a principal component analysis (PCA) tool comprising a plurality of model data sets, each model data set corresponding with a disturbance input provided to the process simulation module to simulate an abnormal operating situation.
12. The system of claim 1 , wherein the implementation of the process simulation module and the analysis module is integrated within an on-line environment of the process control system.
13. The system of claim 12 , further comprising a graphic display module stored on the one or more computer-readable media and adapted for implementation by the one or more execution engines to generate a depiction of the plurality of physical devices with information indicative of a fault condition identified by the multivariate statistical representation, the depiction being provided via a user interface integrated with an operator interface of the on-line environment of the process control system.
14. A method for on-line monitoring of operation of a process in connection with process measurements indicative of the operation of the process, the method comprising the steps of:
receiving one or more process measurements;
inputting at least one of the received process measurements into a simulation element corresponding to a process device operating in the process, the simulation element modeling the behavior of the process device operating in the process;
using at least the simulation element to simulate the operation of the process, the simulation element generating model data indicative of a simulated representation of the operation of the process, based on the at least one of the received process measurements, and including data of an unmeasurable process parameter;
implementing a multivariate statistical analysis of the operation of the process based on the model data and the received process measurements;
evaluating output data from the multivariate statistical analysis during the operation of the process to enable the on-line monitoring of the process; and
generating a user interface having a graphic display of the process, wherein the graphic display provides a plurality of display elements representative of current condition of the operation of the process in accordance with the multivariate statistical analysis, and further wherein the plurality of display elements includes a graphical representation of one or more of the process devices operating in the process.
15. The method of claim 14 , wherein the multivariate statistical analysis comprises principal component analysis (PCA) of data indicative of the operation of the process.
16. The method of claim 14 , wherein the multivariate statistical analysis comprises a partial least squares (PLS) analysis of data indicative of the operation of the process.
17. The method of claim 14 , wherein the evaluating step comprises the step of determining whether a fault condition exists in the operation of the process via classification analysis of the output data.
18. The method of claim 17 , wherein the classification analysis is based on one or more expert rules.
19. The method of claim 17 , wherein the classification analysis comprises discriminant analysis of the output data.
20. The method of claim 17 , wherein the model data comprises process parameter data indicative of a future operational state of the process based on the process measurements.
21. The method of claim 17 , wherein the model data comprises a non-measured process parameter indicative of the operation of the process.
22. The method of claim 17 , wherein the graphic display provides data indicative of the fault condition by modifying at least one of the graphic elements associated with a portion of the process implicated by the fault condition.