Process for controlling the efficiency of the causticizing process
First Claim
1. A method of controlling the causticizing reaction for producing a white liquor having multiple white liquor components from a green liquor having multiple green liquor components, comprising the steps of:
- measuring a characteristic of each of said green liquor components;
measuring a characteristic of each of said white liquor components;
evaluating said green liquor component characteristics and said white liquor component characteristics in a non-linear, application adaptable controller to produce a causticizing control signal,wherein said evaluating step includes use of processing selected from the group consisting of neural network processing, fuzzy logic processing, and functional equivalents thereof for evaluating said green liquor component characteristics to produce said causticizing control signal with use of installation-specific data; and
controlling said causticizing reaction responsive to said causticization control signal to produce white liquor.
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Abstract
Continuous measurements are made of a characteristic of the individual components of green liquor fed to a slaker and white liquor exiting from the slaker. The liquor component measurements provide a precise characterization of the liquors allowing for a more efficient control of the causticizing reaction in the kraft process. The individual component measurements are provided as inputs, along with certain ambient measurements, to a non-linear controller. The controller produces a causticizing control signal which is used to control the amount of lime introduced to the slaker. The controller is adapted to a particular process installation through the application of data collected from that installation. The controller, for example a neural network or fuzzy logic controller, produces a causticizing control signal according to unique parameters developed for the specific installation.
71 Citations
24 Claims
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1. A method of controlling the causticizing reaction for producing a white liquor having multiple white liquor components from a green liquor having multiple green liquor components, comprising the steps of:
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measuring a characteristic of each of said green liquor components; measuring a characteristic of each of said white liquor components; evaluating said green liquor component characteristics and said white liquor component characteristics in a non-linear, application adaptable controller to produce a causticizing control signal, wherein said evaluating step includes use of processing selected from the group consisting of neural network processing, fuzzy logic processing, and functional equivalents thereof for evaluating said green liquor component characteristics to produce said causticizing control signal with use of installation-specific data; and controlling said causticizing reaction responsive to said causticization control signal to produce white liquor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. An apparatus for controlling the causticizing reaction to produce a white liquor having multiple white liquor components from a green liquor having multiple green liquor components, said apparatus comprising:
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a green liquor sensor for measuring a characteristics of each of said green liquor components; a white liquor sensor for measuring a characteristics of each of said white liquor components; a non-linear, application adaptable controller responsive to said green liquor component characteristics and said white liquor component characteristics for producing a causticizing control signal wherein said non-linear, application adaptable controller is selected from the group consisting of neural network controllers, fuzzy logic controllers, and functional equivalents thereof for evaluating said green liquor component characteristics to produce said causticizing control signal with use of installation-specific data; and means for controlling said causticizing reaction responsive to said causticization control signal to produce white liquor. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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Specification