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HVAC Control in the New Millennium.pdf - HVAC.Amickracing

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Artificial Intelligence, Fuzzy Logic and <strong>Control</strong>One area where this software capability to turn data <strong>in</strong>to <strong>in</strong>formationis valve diagnostics. <strong>Control</strong> valves make many small movementseach day to control parameters such as pressure, temperature, or flowrate to an optimum level for efficient plant operation.Diagnostic tools can measure valve and valve actuator characteristicsto determ<strong>in</strong>e whe<strong>the</strong>r or not such control valves are function<strong>in</strong>gproperly or require ma<strong>in</strong>tenance. Analyz<strong>in</strong>g <strong>the</strong> valve actuator pressureversus valve travel can provide <strong>in</strong>formation on friction, actuator spr<strong>in</strong>gcompression and gall<strong>in</strong>g. This <strong>in</strong>formation can be important <strong>in</strong> reduc<strong>in</strong>gdowntime and ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g optimum system performance.Fieldbus communication protocols can provide <strong>the</strong> two-way communicationsneeded. Us<strong>in</strong>g this technology, a smart valve positioner cansend <strong>in</strong>formation back to <strong>the</strong> controller concern<strong>in</strong>g its actual f<strong>in</strong>al positionus<strong>in</strong>g <strong>the</strong> same wires as <strong>the</strong> outgo<strong>in</strong>g signal.The sensors throughout <strong>the</strong> plant also provide an opportunity forsignificant operational improvements. Advanced calibration monitor<strong>in</strong>gsoftware uses ma<strong>the</strong>matical techniques to predict an expected valuesuch as temperature or pressure. The software computes <strong>the</strong> statisticalvariation from <strong>the</strong> predicted value. This software keeps track of <strong>the</strong>amount of time each sensor is beyond <strong>the</strong> setpo<strong>in</strong>t limit and generatesa report that flags those devices that are <strong>in</strong> need of ma<strong>in</strong>tenance.A new generation of valve controllers, called digital valve controllers,provides valve diagnostic capabilities. This is part of <strong>the</strong> evolution<strong>in</strong> distributed controls. Low-power microprocessors allow <strong>the</strong>se digitalvalve controllers to operate on <strong>the</strong> power from <strong>the</strong> standard 4-20 mA<strong>in</strong>strument wir<strong>in</strong>g. The HART communications protocol superimposes adigital signal on top of <strong>the</strong> 4-20 mA analog signal. This provides <strong>the</strong>control loop along with two-way communications with <strong>the</strong> valve controller.PC and W<strong>in</strong>dows-based software can communicate with <strong>the</strong> controllerto obta<strong>in</strong> <strong>the</strong> valve diagnostic variables. The data can be plottedwith <strong>the</strong> software to determ<strong>in</strong>e <strong>the</strong> condition of <strong>the</strong> valve.Neural Network Model<strong>in</strong>gBesides l<strong>in</strong>k<strong>in</strong>g <strong>the</strong> plant operations with <strong>the</strong> control of ma<strong>in</strong>tenanceactivities, an additional part of enterprise management is systemmodel<strong>in</strong>g and <strong>the</strong> result<strong>in</strong>g analysis.©2001 by The Fairmont Press, Inc. All rights reserved.

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