Method and system for monitoring and analyzing a paper manufacturing process
First Claim
1. A method for monitoring and analyzing a paper manufacturing process, in which methoda large number of quantities (xi, t) are measured from the process, the measured quantities (xi, t) are entered as an input vector ({overscore (X)}, t) into a neural network, which, in response to the input vector, produces an output vector ({overscore (Y)}, t) as a continuous quantity, at least one fingerprint consistent with a good process situation in regard of runnability, an optimal output vector ({overscore (Y)}o, t) is determined and stored in memory, the stored fingerprints and the fingerprints or output vectors obtained in a normal process situation are compared substantially in real time, based on the comparison, a difference to be presented in a graphic form to the user is determined, characterized in that a continuous time-dependent quantity k=k(t) to be presented as a result to the user is determined as a geometric distance between the instantaneous measured fingerprint ({overscore (Y)}, t) and the taught fingerprint ({overscore (Y)}c), and the aforesaid quantity k=k(t) for the period of a selected trend T is displayed via a display device to the user.
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Abstract
A method for monitoring and analyzing a paper manufacturing process, is disclosed in which a large number of quantities (xi, t) are measured from the process, the measured quantities (xi, t) are entered as an input vector ({overscore (X)}, t) into a neural network, which, in response to the input vector, produces an output vector ({overscore (Y)}, t) as a continuous quantity, at least one fingerprint consistent with a good process situation in regard of runnability, i.e. an optimal output vector ({overscore (Y)}o, t) is determined and stored in memory, the stored fingerprints and fingerprints or output vectors obtained in a normal process situation are compared substantially in real time, and based on the comparison, a difference to be presented in a graphic form to the user is determined. Accordingly, a continuous time-dependent scalar quantity k=k(t) to be presented as a result to the user is determined as a geometric distance between the instantaneous measured fingerprint ({overscore (Y)}, t) and the taught fingerprint ({overscore (Y)}o), and the scalar quantity k=k(t) is displayed via a display device to the user.
14 Citations
9 Claims
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1. A method for monitoring and analyzing a paper manufacturing process, in which method
a large number of quantities (xi, t) are measured from the process, the measured quantities (xi, t) are entered as an input vector ({overscore (X)}, t) into a neural network, which, in response to the input vector, produces an output vector ({overscore (Y)}, t) as a continuous quantity, at least one fingerprint consistent with a good process situation in regard of runnability, an optimal output vector ({overscore (Y)}o, t) is determined and stored in memory, the stored fingerprints and the fingerprints or output vectors obtained in a normal process situation are compared substantially in real time, based on the comparison, a difference to be presented in a graphic form to the user is determined, characterized in that a continuous time-dependent quantity k=k(t) to be presented as a result to the user is determined as a geometric distance between the instantaneous measured fingerprint ({overscore (Y)}, t) and the taught fingerprint ({overscore (Y)}c), and the aforesaid quantity k=k(t) for the period of a selected trend T is displayed via a display device to the user.
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9. A system for monitoring and analyzing the paper production process in a paper machine, said system comprising:
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a neural network having inputs for the entering of a large number of quantities (xi, t) measured from the process and outputs for the delivery of a response, and computing means for the processing of the response, and storage means for the storage of a fingerprint consistent with a good process situation, an optimal output vector ({overscore (Y)}o, t), means for comparing substantially in real time the stored fingerprints and the fingerprints or output vectors obtained in a normal process situation and for determining on the basis of the comparison a difference to be presented to the user, a display device for displaying the difference in a graphic form, characterized in that said neural network has been adapted to implement a multi-layer perceptron network (MLP), and the computing means have been adapted to determine from the output vector a continuous time-dependent scalar quantity k=k(t) as a geometric distance between the instantaneous measured fingerprint ({overscore (Y)}, t) and the taught fingerprint ({overscore (Y)}o), and the display device has been adapted to display the said scalar quantity k=k(t).
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Specification