Doosan Enerbility Co., Ltd.

Other

University of Iowa Research Foundation

Doosan Enerbnity Co., Ltd.

Jun Woo Yoo

Hyun Sik Kim

Sang Gun Na

Jee Hun Park

Yeong Hyeok Kim

Aliasger Karimjee Salem

Ned B Bowden

Young Geun Lee

Denison J Kuruvilla

Jae Hwa Kwak

A chemical dosing optimization apparatus includes a chemical dosing optimization part and a chemical dosing output control part, wherein the chemical dosing optimization part receives real-time data at least from a water treatment plant treating feed water by dosing a chemical and providing a treated water, analyzes the real-time data through a water treatment model in response to receiving the real-time data, derives a prediction value for predicting a state of the treated water of the water treatment plant, and derives a control value based on the prediction value through a controller, such that the control value is to set a minimum of a chemical dosage to be dosed in the feed water while the state of the treated water of the water treatment plant is maintained in a normal range, and wherein the chemical dosing output control part provides the control value to a water treatment control device.

Chemical dosing optimization apparatus and method for water treatment plant

An apparatus for controlling output in a water treatment plant treating water includes: a chemical dosing management part configured to analyze real-time data to determine a control mode of chemical dosing optimization, and provide the determined control mode as a management command; a chemical dosing optimization part configured to analyze the real-time data to derive a control value such that the control value is to set a minimum of a chemical dosage to be dose in the water while a state of treated water of the water treatment plant is maintained in a normal range; and a chemical dosing output control part configured to provide the control value to a water treatment control device for controlling the water treatment plant, according to the control mode of the management command.

Apparatus and method for controlling output for chemical dosing optimization for water treatment plant

An apparatus for diagnosing failure of a plant is provided. The apparatus for diagnosing failure of a plant includes: a data analyzer configured to provide data analysis information, which is information requiring analysis to diagnose failure of the plant, and a comprehensive diagnostic device configured to diagnose the failure using each of an algorithm-based diagnosing technique and a domain knowledge-based diagnosing technique based on the data analysis information, and to derive comprehensive diagnosis information for the failure by summarizing results of the algorithm-based diagnosing technique and the domain knowledge-based diagnosing technique.

Apparatus and method for diagnosing failure of plant

A failure prediction model generating apparatus and method thereof are provided. The failure prediction model generating apparatus includes a memory configured to store a plurality of failure prediction models derived previously; and a processor configured to predict a failure of the plant, wherein the processor is configured to collect data measured from the plant, select at least one failure prediction model from among the plurality of failure prediction models using the collected data, and predict a failure of the plant using the selected failure prediction model.

Failure prediction model generating apparatus and method thereof

The present invention provides methods for preparing polysulfenamides having a repeating unit of formula (4): wherein Ris selected from the group consisting of alkyl, alkenyl, alkynyl, haloalkyl, alkoxyalkyl, hydroxyalkyl, ether, cycloether, aryl, heteroaryl, arylalkyl, heteroarylalkyl, hydroxyaryl, arylether, cycloalkyl, heterocycloalkyl, hydroxycycloalkyl, halocycloalkyl, and aminocycloalkyl. Each of R, Rand Rare independently selected from the group consisting of alkyl, alkenyl, alkynyl, haloalkyl, alkoxyalkyl, hydroxyalkyl, ether, cycloether, aryl, heteroaryl, arylalkyl, heteroarylalkyl, hydroxyaryl, arylether, cycloalkyl, heterocycloalkyl, hydroxycycloalkyl, halocycloalkyl, and aminocycloalkyl. Microparticles comprising polysulfenamides can be used as delivery vehicles for a variety of biological applications.

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Seoul, South Korea

Jun Woo Yoo