C02F1/24

Apparatus and method for determining chemical input

An apparatus and method for determining an amount of chemical input, and more particularly to an apparatus and method for determining the amount of a chemical to be added, which is necessary to achieve target water quality, wherein a required chemical concentration can be accurately calculated based on the temperature of the water and the target turbidity of the water includes an information-receiving unit configured to receive at least one of environmental information, chemical information, and water-quality information of the water present in a specific area and a chemical input determination unit configured to derive a multiple regression equation based on the received environmental information, chemical information, and water-quality information and to determine the future input of a chemical that is added to satisfy a target turbidity of the water present in the specific area based on the multiple regression equation.

Apparatus and method for determining chemical input

An apparatus and method for determining an amount of chemical input, and more particularly to an apparatus and method for determining the amount of a chemical to be added, which is necessary to achieve target water quality, wherein a required chemical concentration can be accurately calculated based on the temperature of the water and the target turbidity of the water includes an information-receiving unit configured to receive at least one of environmental information, chemical information, and water-quality information of the water present in a specific area and a chemical input determination unit configured to derive a multiple regression equation based on the received environmental information, chemical information, and water-quality information and to determine the future input of a chemical that is added to satisfy a target turbidity of the water present in the specific area based on the multiple regression equation.

Process to treat metal or mineral ores and collector composition therefor

A process to treat metal or mineral ores is disclosed. The metal or mineral ore is a metallic sulphide ore including copper, gold, platinum, silver, nickel, molybdenum, arsenic sulphides, cobalt, zinc, lead, tin, antimony, or combinations thereof with a collector composition including a dimeric fatty nitrile. The dimeric fatty nitrile is prepared by a process including reacting a dimer fatty acid with ammonia at a temperature between about 200° C. and about 400° C. to form a dimeric amide and removing water from the dimeric amide to form the dimeric nitrile. The present disclosure also provides a collector composition containing the dimeric fatty nitrile and at least one further collector or frother compound.

Process to treat metal or mineral ores and collector composition therefor

A process to treat metal or mineral ores is disclosed. The metal or mineral ore is a metallic sulphide ore including copper, gold, platinum, silver, nickel, molybdenum, arsenic sulphides, cobalt, zinc, lead, tin, antimony, or combinations thereof with a collector composition including a dimeric fatty nitrile. The dimeric fatty nitrile is prepared by a process including reacting a dimer fatty acid with ammonia at a temperature between about 200° C. and about 400° C. to form a dimeric amide and removing water from the dimeric amide to form the dimeric nitrile. The present disclosure also provides a collector composition containing the dimeric fatty nitrile and at least one further collector or frother compound.

HEADRACE SYSTEM
20230212035 · 2023-07-06 ·

A headrace system 1 improving a scum generation function of the headrace distributing and supplying raw water to a sedimentation basin provided in a sewage treatment plant to contribute to energy savings in the sewage treatment plant as a whole and contribute to solving environmental problems, which is provided with a buoyant imparting means 20 configured with including an ejector 22, in a side in which the raw water of a headrace body 2 to which the raw water is supplied or in the raw water flowed into the headrace 2 to impart buoyant force to solid matters contained in the raw water, and scum removing means 4, 8, 9, 10, 40a, and 40b removing scum S floating on a water surface of the headrace body 2.

HEADRACE SYSTEM
20230212035 · 2023-07-06 ·

A headrace system 1 improving a scum generation function of the headrace distributing and supplying raw water to a sedimentation basin provided in a sewage treatment plant to contribute to energy savings in the sewage treatment plant as a whole and contribute to solving environmental problems, which is provided with a buoyant imparting means 20 configured with including an ejector 22, in a side in which the raw water of a headrace body 2 to which the raw water is supplied or in the raw water flowed into the headrace 2 to impart buoyant force to solid matters contained in the raw water, and scum removing means 4, 8, 9, 10, 40a, and 40b removing scum S floating on a water surface of the headrace body 2.

CHEMICAL DOSING OPTIMIZATION APPARATUS AND METHOD FOR WATER TREATMENT PLANT

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.

APPARATUS AND METHOD FOR CONTROLLING CHEMICAL DOSING OPTIMIZATION FOR WATER TREATMENT PLANT

An apparatus for controlling chemical dosing optimization in a water treatment plant treating feed water includes: a control value derivation part configured to receive real-time data, analyze the real-time data through a water treatment model and a controller in response to receiving the real-time data, and calculate a control value, such that the control value is to set a minimum of a chemical dosage while maintaining a state of treated water of the water treatment plant in a normal range, the water treatment model simulating the water treatment plant and the controller being an optimization algorithm; and a chemical dosing output control part configured to provide the control value to a water treatment control device.

APPARATUS AND METHOD FOR CONTROLLING OUTPUT FOR CHEMICAL DOSING OPTIMIZATION FOR WATER TREATMENT PLANT
20230212032 · 2023-07-06 ·

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.

DEVICE AND METHOD FOR SELECTING OPTIMAL WATER TREATMENT MODEL FOR CHEMICAL DOSING OPTIMIZATION
20230212030 · 2023-07-06 ·

A device for selecting an optimal model includes: a model storage part including a seed model storage place in which a seed model is stored, and an optimal model storage place in which an existing optimal model is stored; a model generation part configured to use training data to generate a variable model; and a model evaluation part configured to prepare evaluation data, and use the evaluation data to select a champion model from among a plurality of evaluation target models including the seed model, the existing optimal model, and the variable model by evaluating the plurality of evaluation target models.