CN114182304A - Method and device for extracting magnesium based on seawater - Google Patents
Method and device for extracting magnesium based on seawater Download PDFInfo
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- CN114182304A CN114182304A CN202111451897.6A CN202111451897A CN114182304A CN 114182304 A CN114182304 A CN 114182304A CN 202111451897 A CN202111451897 A CN 202111451897A CN 114182304 A CN114182304 A CN 114182304A
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- C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
- C25C—PROCESSES FOR THE ELECTROLYTIC PRODUCTION, RECOVERY OR REFINING OF METALS; APPARATUS THEREFOR
- C25C1/00—Electrolytic production, recovery or refining of metals by electrolysis of solutions
- C25C1/02—Electrolytic production, recovery or refining of metals by electrolysis of solutions of light metals
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Abstract
The embodiment of the specification provides a method for extracting magnesium based on seawater, which comprises the steps of obtaining temperature information and concentration information of seawater in a plurality of sub-time periods within a preset time period; determining a first power consumption required by a desalination structure in the magnesium extraction device to desalinate seawater in a plurality of sub-time periods to obtain desalinated water and seawater desalination raffinate based on the temperature information and the concentration information; determining second power consumption required by an extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate in a plurality of sub-time periods; and determining a production plan of the magnesium extraction device for extracting magnesium based on the seawater based on the first power consumption of the plurality of sub-time periods and the second power consumption of the plurality of sub-time periods.
Description
Technical Field
The specification relates to the field of seawater treatment, in particular to a method and a device for extracting magnesium based on seawater.
Background
Magnesium has the characteristics of light weight, high strength and the like. Magnesium is widely used in rocket, missile and airplane manufacturing industries, and in various fields such as automobiles, precision machines and the like. With the rapid development of the steel industry, the demand for magnesium is increasing.
In seawater salt, the magnesium occupies the third place and has a very abundant reserve, second to chlorine and sodium. Therefore, it is necessary to provide a method for extracting magnesium from seawater, which is based on seawater extraction.
Disclosure of Invention
One embodiment of the present specification provides a method for extracting magnesium based on seawater. The method for extracting magnesium based on seawater comprises the following steps: acquiring temperature information and concentration information of seawater in a plurality of sub-time periods within a preset time period; determining, based on the temperature information and the concentration information, a first power consumption required by a desalination structure in a magnesium extraction device to desalinate the seawater in the plurality of sub-time periods to obtain desalinated water and a seawater desalination raffinate; determining a second power consumption required by an extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate in the plurality of sub-time periods; determining a production plan for the magnesium extraction device to extract magnesium based on seawater based on the first power consumption of the plurality of sub-periods and the second power consumption of the plurality of sub-periods.
One of the embodiments of the present specification provides an apparatus for extracting magnesium based on seawater, which includes: the device comprises a desalination structure, an extraction structure and a processor, wherein the desalination structure and the extraction structure are respectively connected with the processor; the desalination structure is used for desalinating the seawater to obtain desalinated water and seawater desalination residual liquid; the extraction structure is used for extracting magnesium from the seawater desalination raffinate;
the processor is configured to: acquiring temperature information and concentration information of the seawater in a plurality of sub-time periods within a predicted time period; determining a first power consumption required for desalinating the seawater in a plurality of sub-time periods within a predicted time period to obtain desalinated water and seawater desalination raffinate based on the temperature information and the concentration information; determining a second power consumption required for extracting magnesium from the seawater desalination raffinate in a plurality of sub-time periods within the expected time period; determining a production plan for extracting magnesium based on seawater based on the first power consumption of the plurality of sub-periods and the second power consumption of the plurality of sub-periods.
One of the embodiments of the present specification provides a seawater-based magnesium extraction system, which includes: the acquisition module is used for acquiring temperature information and concentration information of the seawater in a plurality of sub-time periods within a preset time period; a first determining module, configured to determine, based on the temperature information and the concentration information, that a desalination structure in the magnesium extraction device desalinates the seawater in the plurality of sub-time periods to obtain desalinated water and first power consumption required by a seawater desalination residual liquid; a second determining module, configured to determine a second power consumption required by the extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate in the plurality of sub-time periods; a third determination module to determine a production schedule for the magnesium extraction device to extract magnesium based on seawater based on the first power consumption of the plurality of sub-time periods and the second power consumption of the plurality of sub-time periods.
One of the embodiments of the present specification provides a computer-readable storage medium, which stores computer instructions, and when the computer reads the computer instructions in the storage medium, the computer executes a method for extracting magnesium based on seawater according to any one of the embodiments.
Drawings
The present description will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:
FIG. 1 is an exemplary apparatus diagram of a magnesium extraction apparatus 110, shown in accordance with some embodiments herein;
FIG. 2 is a schematic illustration of magnesium extraction, according to some embodiments herein;
FIG. 3 is an exemplary flow diagram illustrating the determination of a production plan according to some embodiments of the present description;
FIG. 4 is an exemplary flow chart illustrating the determination of a first amount of power consumption according to some embodiments of the present description;
FIG. 5 is an exemplary flow chart illustrating determining a second amount of power consumption according to some embodiments of the present description;
FIG. 6 is an exemplary flow diagram illustrating adjusting a production plan according to some embodiments of the present description;
FIG. 7 is a schematic diagram illustrating the determination of a production plan in accordance with some embodiments of the present description.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, the present description can also be applied to other similar scenarios on the basis of these drawings without inventive effort. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Flow charts are used in this description to illustrate operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
Fig. 1 is an apparatus diagram of a magnesium extraction apparatus 110, shown in accordance with some embodiments herein.
In some embodiments, the magnesium extraction device 110 may extract magnesium based on seawater. The magnesium extraction device 110 may include a desalination structure 111, an extraction structure 112, and a processor 113, wherein the desalination structure 111 and the extraction structure 112 are respectively connected to the processor 113.
The desalination structure 111 can be used for desalinating seawater to obtain desalinated water and seawater desalination raffinate. Desalination structure 111 may include reverse osmosis membrane 111-1, pressure boosting device 111-2, and pressure detector 111-3. Reverse osmosis membranes can be used to separate water and other dissolved solids (e.g., magnesium, sodium, etc.) from seawater. The pressurizing device may be used to pressurize the seawater. The pressure detector can be used for detecting the pressure value of the seawater.
The extraction structure 112 may be used to extract magnesium from a seawater desalination raffinate. Extraction structure 112 may include a heating device 112-1 and an electrolysis device 112-2. The electrolysis device can be used for electrolyzing the solution to obtain magnesium. The heating device can be used to heat the solution to create the temperature conditions required for the relevant reactions of the electrolytic magnesium.
The processor 113 may be configured to obtain temperature information and seawater concentration information of the seawater in a plurality of sub-periods within a predicted period; determining first power consumption required for desalinating the seawater in a plurality of sub-time periods within a predicted time period to obtain desalinated water and seawater desalination residual liquid based on the temperature information and the seawater concentration information; determining a second power consumption required for extracting magnesium from the seawater desalination raffinate in a plurality of sub-time periods within the expected time period; determining a production plan for extracting magnesium based on seawater based on the first power consumption of the plurality of sub-periods and the second power consumption of the plurality of sub-periods. For more contents of the plurality of sub-periods, the temperature information, the seawater concentration information, the first power consumption, the second power consumption, the production plan, and the like in the expected period, reference is made to the related description later in this specification, and details thereof are not repeated herein.
FIG. 2 is a schematic illustration of magnesium extraction, according to some embodiments herein.
As shown in fig. 2, the seawater 210 may be pressurized by a pressurizing device 111-2, and the pressure value of the pressurized seawater may be detected by a pressure detector 111-3.
When the pressure detector 111-3 detects that the pressure value of the pressurized seawater 210 reaches a preset pressure value that can pass through the reverse osmosis membrane 111-1, the pressurized seawater 210 is supplied to the reverse osmosis membrane 111-1.
The reverse osmosis membrane 111-1 filters the seawater 210 to obtain desalinated water 220 and a seawater desalination raffinate 230. The desalinated water 220 may be further purified for consumer use.
FIG. 3 is an exemplary flow diagram illustrating a process for determining a production schedule for a magnesium extraction plant to extract magnesium based on seawater according to some embodiments of the present description. As shown in fig. 3, the process 300 includes the following steps. In some embodiments, the process 300 may be performed by the processor 113.
And 310, acquiring temperature information and concentration information of the seawater in a plurality of sub-time periods within a preset time period.
The preset time period may be a preset time period during which magnesium is scheduled to be produced. For example, the preset time period may be from 9/22/2300 years to 9/24/2300 years, indicating that magnesium in the preset demand production is planned to be produced from 9/22/2300 years to 9/24/2300 years.
The plurality of sub-periods within the preset period may refer to dividing a preset period scheduled to produce magnesium into a plurality of sub-periods. In some embodiments, the plurality of sub-periods within the preset period may be consecutive or spaced apart.
In some embodiments, the time length of the sub-period may be predetermined. For example, the length of the sub-period may be set to one hour, and the preset period is from 9/22/2300 years to 9/24/2300 years. Then there are 72 sub-periods within the preset period.
In some embodiments, the length of time of the sub-period of time may be related to a preset demand yield of magnesium. The higher the preset required yield of magnesium, the longer the length of the sub-period. For example, when the preset required yield of magnesium is 100kg, the time length of the sub-period may be four hours; the time length of the sub-period may be 8 hours when the preset required yield of magnesium is 200 kg.
The temperature information may refer to temperature information of the seawater. The temperature information of the seawater can change along with the change of sunshine, latitude, ocean current, seasons and the like. In some embodiments, the temperature information of the seawater in the sub-period of the preset time period may be an average temperature in the sub-period. In some embodiments, the temperature information of the seawater in the sub-period within the preset time period may also be the temperature of the longest duration of the temperature in the sub-period. In some embodiments, the temperature information of the seawater in the sub-period of the preset time period may also be determined in other ways, for example, the temperature information of the seawater in the sub-period may also be the highest temperature in the sub-period.
The seawater concentration information may refer to the ratio of the weight of total dissolved solids in seawater to the weight of seawater. For example, the seawater concentration information may be 32000mg/L, which means that 1L of seawater contains 32000mg of dissolved solids. Seawater concentration information of seawater may be affected by dimensionality, rainfall, temperature, and the like. In some embodiments, the concentration information of the seawater in the sub-period within the preset time period may be an average concentration of the seawater in the sub-period. In some embodiments, the concentration information of the seawater in the sub-period of the preset time period may also be determined in other ways, for example, the concentration with the longest concentration duration in the sub-period may be used as the concentration information of the seawater in the sub-period.
In some embodiments, the temperature information and the concentration information of the seawater in a plurality of sub-time periods within the preset time period can be acquired through weather forecast. For example, the time length of the sub-period is 12 hours, and the preset period is from 9/22 days in 2300 years to 9/23 days in 2300 years. The temperature information of the seawater in a plurality of sub-time periods within the preset time period can be acquired through weather forecast and is respectively 17.4 ℃, 19.2 ℃, 17.0 ℃ and 17.4 ℃, and the concentration information is respectively 32000mg/L, 37000mg/L, 33000mg/L and 32000 mg/L.
In some embodiments, the temperature information and the concentration information of the seawater in the preset time period in a plurality of sub-time periods may also be acquired in other manners. For example, the temperature information and the seawater concentration information of a plurality of sub-periods within a preset period may be acquired by the prediction model. In some embodiments, the weather temperature, the precipitation amount, the seawater temperature information and the seawater concentration information of the current time period may be input into the prediction model to obtain the temperature information and the seawater concentration information of a plurality of sub-time periods within a preset time period, wherein the weather temperature, the precipitation amount, the seawater temperature information and the seawater concentration information of the seawater of the current time period may all be directly obtained through measurement.
For example, the weather temperature of 33 ℃, the precipitation amount of 10mm/h, the seawater temperature information of 19.2 ℃ and the seawater concentration information of 37000mg/L of seawater in the current time period may be input into the prediction model, and the temperature information of the seawater in a plurality of sub-time periods within the preset time period may be respectively 18.3 ℃, 19.2 ℃ and 18.2 ℃, and the seawater concentration information may be respectively 36000mg/L, 35000mg/L and 34500 mg/L.
In some embodiments, the predictive models may include, but are not limited to, support vector machine models, Logistic regression models, naive bayes classification models, gaussian distributed bayes classification models, decision tree models, random forest models, KNN classification models, and neural network models.
In some embodiments, the predictive model may be trained based on historical data. The historical data includes historical weather temperature, historical precipitation, historical seawater temperature information, and historical seawater concentration information. In some embodiments, the training module may use historical weather temperature, historical precipitation, historical seawater temperature information, and historical seawater concentration information corresponding to the plurality of first historical time periods as training samples. The identification of the training sample may be the second historical time period seawater temperature information and seawater concentration information. In some embodiments, the training samples of the predictive model and their identification may be obtained directly from historical data. Wherein the second history time period is a time period after the plurality of first history time periods.
In some embodiments, the training samples with the identifiers may be input into the initial prediction model, parameters of the initial prediction model are updated through training, and when the trained model meets a preset condition, the training is finished to obtain the trained prediction model.
And 320, determining that the desalination structure in the magnesium extraction device desalinates the seawater in a plurality of sub-time periods to obtain desalinated water and first power consumption required by the seawater desalination residual liquid based on the temperature information and the concentration information.
The desalinated water can be water obtained by removing most dissolved solids in seawater after desalinating the seawater.
The seawater desalination residual liquid can be concentrated seawater from which most of seawater is removed after seawater is desalinated.
For details of the fade processing, reference is made to fig. 2 and its related description, which are not repeated herein.
The first power consumption amount and the sub-period have a corresponding relationship. A corresponding first power consumption amount exists for each sub-period.
The first power consumption may refer to the amount of power required to desalinate seawater in a certain sub-period of time by a desalination structure in the magnesium extraction device to obtain desalinated water and seawater desalination raffinate.
The pressurizing device in the magnesium extraction device needs to consume electric quantity to pressurize the seawater, and the pressurized seawater can be desalted through a reverse osmosis membrane to obtain desalted water and seawater desalination residual liquid.
In some embodiments, the first power consumption is affected by temperature information and concentration information. For example, when the temperature of seawater is high, the viscosity coefficient of water is low, the permeability characteristics of the reverse osmosis membrane are good, seawater can permeate the reverse osmosis membrane at a low pressure to be desalinated, and in this case, the pressure to be increased by the booster device is small, so that the power consumed by the booster device is also small. When the temperature of the seawater is low, the viscosity coefficient of the water is high, the permeation characteristic of the reverse osmosis membrane is poor, the seawater needs to permeate the reverse osmosis membrane at a high pressure for desalination, and at the moment, the pressure of the pressurizing device needs to be increased greatly, so that the electric quantity consumed by the pressurizing device is also high. Meanwhile, the higher the concentration of the seawater is, the larger the osmotic pressure difference between the seawater and the fresh water generated on the reverse osmosis membrane surface is, so that the electric quantity required by the seawater for obtaining the desalinated water and the seawater desalination residual liquid through the reverse osmosis membrane is also large.
In some embodiments, the first power consumption of the sub-period may be determined according to the desalination efficiency and the boosting power consumption of the sub-period.
For more details on the desalination efficiency, the boost power consumption and the determination of the first power consumption, refer to fig. 4 and the related description thereof, and will not be described herein again.
And step 330, determining second power consumption required by the extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate in a plurality of sub-time periods.
The second power consumption amount and the sub-period also have a corresponding relationship. A corresponding second power consumption amount exists for each sub-period.
The second power consumption may refer to the power required by the extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate within a certain sub-period of time.
For specific content of magnesium extraction from seawater desalination raffinate, refer to fig. 2 and related description thereof, and are not described herein again.
In some embodiments, the second power consumption amount may be determined by extracting a power consumption model.
For more contents of determining the second power consumption, refer to fig. 5 and the related description thereof, and for more contents of extracting the power consumption model, refer to fig. 7 and the related description thereof, which are not described herein again.
And step 340, determining a production plan of the magnesium extraction device for extracting magnesium based on seawater based on the first power consumption of the plurality of sub-time periods and the second power consumption of the plurality of sub-time periods.
The production plan may refer to a specific plan for extracting magnesium based on seawater by the magnesium extraction apparatus within a preset time period. The production plan may include respective configurations of operations required for the processing of the magnesium extraction device within a predetermined time period and sub-periods of operation of the respective configurations.
In some embodiments, the production plan may be to run the desalination structure and the extraction structure in the magnesium extraction device simultaneously for a preset period of time to extract magnesium. For example, the production plan may be to run the desalination and extraction structures in the magnesium extraction plant simultaneously to extract magnesium at 08: 00-16: 00 of 9, 22 days 2300.
In some embodiments, when the production plan is to operate the desalination structure and the extraction structure in the magnesium extraction device at the same time, the sub-time period with the minimum sum of the first power consumption and the second power consumption in the preset time period can be used as the time period for producing magnesium in the production plan according to the preset magnesium yield requirement, and the production plan for extracting magnesium by the magnesium extraction device based on seawater can be determined. For example, the sum of the first power consumption and the second power consumption of 08: 00-16: 00 of 2300 years, 9 months and 22 days of 2300 years, 9 months and 24 days of 2300 years is determined to be the minimum according to the preset magnesium demand yield, so that the desalination structure and the extraction structure in the magnesium extraction device can be determined to be operated simultaneously to extract magnesium with the preset demand yield when the production plan is 08: 00-16: 00 of 2300 years, 9 months and 22 days of 2300 years.
In some embodiments, the production plan may operate the desalination structure in the magnesium extraction device to obtain a seawater desalination raffinate within a preset time period, and then operate the extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate, wherein the time period for desalination treatment by the magnesium extraction device cannot be later than the time period for extracting magnesium. For example, the production plan can be that the time period for desalination treatment is 08: 00-16: 00 in 2300 years, 9 months and 22 days, and the time period for magnesium extraction is 0: 00-08: 00 in 2300 years, 9 months and 23 days.
In some embodiments, when the production plan is to operate the desalination structure in the magnesium extraction device to obtain seawater desalination raffinate in a preset time period, and then operate the extraction structure in the magnesium extraction device to extract magnesium, a sub-time with the minimum sum of a first power consumption and a second power consumption in the preset time period may be selected as a time period for producing magnesium in the production plan according to a preset required yield of magnesium, where the time period for the first power consumption cannot be later than the time period for the second power consumption. For example, according to the preset magnesium yield requirement, the sum of the first power consumption of 08: 00-16: 00 of 22 days in 9 and 22 2300 years in 9 and 22 days in 2300 years in 24 days in 9 and 24 days in 2300 years is determined to be minimum, so that the desalination structure in the magnesium extraction device is operated to obtain seawater desalination residual liquid when the first power consumption of 08: 00-16: 00 of 22 days in 9 and 22 years in 2300 years is determined to be minimum, and then the extraction structure in the magnesium extraction device is operated to extract magnesium with the preset yield requirement when the first power consumption of 08: 00-16: 00 of 22 days in 9 and 2300 years in 22 days in 9 and 2300 in 22 months in 16: 00-24: 00.
FIG. 4 is an exemplary flow chart illustrating the determination of the first amount of power consumption according to some embodiments of the present description. As shown in fig. 4, the process 400 includes the following steps. In some embodiments, the process 400 may be performed by the processor 113.
And step 410, for one of the sub-time periods, determining a candidate pressure value required for desalination treatment of the seawater in the sub-time period based on the temperature information and the concentration information of the sub-time period.
The candidate pressure value may refer to a pressure value that a unit of seawater needs to reach when the reverse osmosis membrane filters the seawater under the conditions of the seawater temperature and the concentration in a certain sub-period of time. In some embodiments, multiple candidate pressure values may correspond to the same temperature and concentration conditions of the seawater.
In some embodiments, the candidate pressure value may be directly determined according to the acquired temperature information and concentration information of the seawater in a plurality of sub-time periods within the preset time period. For example, when the seawater temperature obtained for a sub-period is 17.4 ℃ and the seawater concentration is 32000mg/L, the candidate pressure values for the sub-period may be determined to be 5.8Mpa, 5.9Mpa, and 6.0 Mpa. For another example, when the seawater temperature obtained for one sub-period is 20.0 ℃ and the seawater concentration is 36000mg/L, the candidate pressure values may be determined to be 5.2Mpa, 5.3Mpa, 5.4 Mpa.
In some embodiments, the candidate pressure value may also be determined in other ways, for example, the candidate pressure value may be set directly.
In some embodiments, the pressure value at which the first power consumption is the smallest under the same temperature and concentration condition of the seawater may be determined as the pressure value finally selected under the same temperature and concentration condition of the seawater. For example, when the seawater temperature of a certain sub-period is 17.4 ℃ and the seawater concentration is 32000mg/L, the corresponding candidate pressure values are 5.8Mpa, 5.9Mpa, and 6.0Mpa, respectively, and the first power consumption determined based on the respective candidate pressure values are 12 degrees, 11 degrees, and 13 degrees, respectively, then the pressure value of 5.9Mpa may be determined as the pressure value of the sub-period.
And step 420, determining the pressurizing power consumption required for pressurizing the seawater in the sub-time period based on the candidate pressure value of the sub-time period.
The pressurization power consumption can refer to the power consumption required by the pressurization device to pressurize the unit seawater to the candidate pressure value in unit time.
In some embodiments, boost power consumption may be determined by equation (1):
E＝Me(P-P0) (1)
wherein E is the pressurization power consumption, M is the seawater volume required by extracting magnesium with preset required yield, E is the power consumption required by pressurizing unit seawater per 1MPa in unit time, P is a candidate pressure value, and P is0Is the initial pressure value of the seawater. Wherein e can be obtained by querying the relevant data, P0Can be obtained by direct measurement, and M can be determined by the preset required yield of magnesium, the concentration of magnesium in seawater and the extraction rate of magnesium in seawater. In some embodiments, the volume of seawater required to extract the preset desired production of magnesium may be determined by equation (2):
wherein Q is the preset required yield of magnesium, C is the concentration of magnesium in seawater, and I is the extraction rate of magnesium extracted by the magnesium extraction device based on seawater. C can be obtained by inquiring relevant data, and I can be obtained based on data of extracting magnesium from seawater by a historical magnesium extraction device.
In some embodiments, the boost power consumption may also be determined in other ways, for example, a default boost power consumption may be set directly.
And step 430, determining the desalination efficiency of desalinating the seawater in the sub-time period based on the temperature information, the concentration information and the candidate pressure value in the sub-time period.
The desalination efficiency may refer to the efficiency of desalinating seawater in a unit time. For example, the desalination efficiency may be 8000L/h, which means that 8000 litres of seawater per hour can be desalinated by the desalination structure in the magnesium extraction plant.
In some embodiments, the temperature information, the concentration information and the candidate pressure values of the seawater in a plurality of sub-time periods within a preset time period are input into the desalination model, and the desalination efficiency corresponding to each of the plurality of sub-time periods can be determined.
For more details of the fade model, refer to fig. 7 and its related description, which are not repeated herein.
In some embodiments, the desalination efficiency may also be determined in other manners, for example, an average value of the desalination efficiency in each sub-time period in a plurality of desalination processes in the historical data may be calculated based on the historical data of the magnesium extraction device, and the obtained average values are respectively used as the desalination efficiency in each sub-time period in the preset time period. Illustratively, the desalination efficiency of the first desalination process in the historical data in two sub-time periods of 08: 00-16: 00 and 16: 00-24: 00 is 38% and 30%, and the desalination efficiency of the second desalination process in the two sub-time periods of 08: 00-16: 00 and 16: 00-24: 00 is 44% and 32%. Then, the desalination efficiency of two sub-time periods of 08: 00-16: 00 and 16: 00-24: 00 in the preset time period can be calculated to be 41% and 31%.
And step 440, determining the first power consumption of the sub-time period based on the desalination efficiency and the pressurization power consumption of the sub-time period.
In some embodiments, the first power consumption amount may be determined by equation (3):
wherein L is1For the first power consumption, E is the boost power consumption per unit time, q is the desalination efficiency, and M is the seawater volume required to extract the preset desired yield of magnesium.
In some embodiments, the first power consumption may be determined in other manners, for example, an average value of power consumption for desalinating unit seawater in each sub-time period of a plurality of desalination processes in the historical data may be calculated based on the historical data of the magnesium extraction device, and the average value of power consumption for desalinating unit seawater multiplied by a volume of seawater required for extracting magnesium with a preset required yield may respectively correspond to the first power consumption in each sub-time period in the preset time period. Illustratively, in the historical data, the power consumption of desalting 1L of seawater in two sub-time periods of 08: 00-16: 00 and 16: 00-24: 00 of the first desalting treatment is 3 degrees and 4 degrees respectively, the power consumption of desalting 1L of seawater in two sub-time periods of 08: 00-16: 00 and 16: 00-24: 00 of the first desalting treatment is 3.2 degrees and 4.2 degrees respectively, the volume of the seawater required for extracting magnesium with the preset required yield is 10L, and then the first power consumption of two sub-time periods of 08: 00-16: 00 and 16: 00-24: 00 in the preset time period can be calculated to be 31 degrees and 41 degrees respectively.
Fig. 5 is an exemplary flow chart for determining a second power consumption amount according to some embodiments of the present description. As shown in fig. 5, the process 500 includes the following steps. In some embodiments, the process 500 may be performed by the processor 113.
The ambient temperature may refer to the temperature of the environment in which the magnesium extraction device is located. In some embodiments, the ambient temperatures of a plurality of sub-periods within the preset time period may be obtained through weather forecast. For example, the time length of the sub-period is 12 hours, and the preset period is from 9/22 days in 2300 years to 9/23 days in 2300 years. The environmental temperatures of the sub-periods within the preset time period are respectively 22.0 ℃, 24.2 ℃, 24.4 ℃ and 23.0 ℃ according to weather forecast.
And step 520, acquiring the water outlet rate and the desalinated water concentration of the seawater desalinated in the sub-time period.
The effluent yield may refer to the ratio of the content of desalinated water extracted from the seawater to the total content of seawater, wherein the total content of seawater is the sum of the content of desalinated water extracted from the seawater and the content of desalinated residual liquid extracted from the seawater. Specifically, the water yield can be defined by the formula (4):
wherein, alpha is water yield, W1W is the content of desalinated water extracted from seawater2The content of the seawater desalination residual liquid extracted from seawater.
The desalinated water concentration may refer to a ratio of a weight of dissolved solids in desalinated water extracted from the seawater to a weight of the desalinated water. For example, the desalinated water concentration may be 100mg/L, meaning that 1 liter of desalinated water extracted from seawater contains 100mg of dissolved solids.
In some embodiments, the water yield and the desalinated water concentration of each sub-period within the preset time period may also be obtained according to the desalination model.
For more details on obtaining the water yield and the desalinated water concentration according to the desalination model, refer to fig. 7 and the related description thereof, which are not described herein again.
The influence of the temperature and the concentration of the seawater on the permeation characteristic of the reverse osmosis membrane is comprehensively considered through the water yield and the desalinated water concentration of each sub-time period in the preset time period acquired by the desalination model, and the truth and the accuracy of the predicted water yield and the predicted desalinated water concentration of each sub-time period in the preset time period are improved through the operation.
In some embodiments, the water yield and the desalinated water concentration of each sub-period within the preset time period may also be obtained by other manners, for example, may be directly preset. Illustratively, the water output rate for each time period may be empirically preset to 35% and the desalinated water concentration may be preset to 80 mg/L.
And step 530, taking the water yield, the desalted water concentration and the ambient temperature of the sub-time period as the input of the power consumption extraction model, and determining the second power consumption of the sub-time period.
For example, the water yield of 40%, the desalinated water concentration of 100mg/L and the ambient temperature of 23 ℃ in a certain time period are used as the input of the extraction power consumption model, and the second power consumption of the time period can be determined to be 22 degrees.
For more details on extracting the power consumption model, refer to fig. 7 and the related description thereof, which are not repeated herein.
FIG. 6 is an exemplary flow diagram illustrating adjusting a production plan according to some embodiments of the present description. As shown in fig. 6, the process 600 includes the following steps. In some embodiments, the process 600 may be performed by the processor 113.
The detailed execution process of steps 610-640 has been described in detail in the above embodiments, and is not described herein again.
And step 650, acquiring the electricity price information.
The electricity rate information may refer to charge information for electricity usage. The charge for electricity in different time periods may be different, for example, the charge for electricity per degree may be 0.6 yuan from 06:00 to 22:00 and 0.3 yuan from 22:00 to 06:00 on the next day.
The electricity price information can be acquired through a network, and specifically, can be acquired through the published notice information of the power supply company.
In some embodiments, a total electricity fee required for the magnesium extraction device to extract the preset required yield of magnesium may be determined based on the electricity rate information.
In some embodiments, the total electricity charge may be determined by equation (5):
B＝R1L1+R2L2 (5)
wherein B is the total electricity charge, R1Sub-period electricity rate per unit price, R, for desalination of desalination structures of magnesium extraction devices within a predicted time period2Unit price of electricity charge, L, for sub-period of time during which magnesium is extracted for extraction structure of magnesium extraction device within expected period of time1Is the first power consumption, L2The second power consumption.
In some embodiments, the plan with the lowest total electricity rate is determined by calculation, and whether the plan with the lowest total electricity rate is consistent with the original production plan is judged. If the plan with the minimum total electricity charge is consistent with the original production plan, the production plan is not adjusted; if the plan with the minimum total electricity charge is not consistent with the original production plan, the plan with the minimum total electricity charge can be adjusted to be a new production plan.
Illustratively, the original production plan is that a desalination structure in a magnesium extraction device is operated at 08: 00-16: 00 of 2300 years, 9 months and 22 days to obtain seawater desalination residual liquid, then an extraction structure in the magnesium extraction device is operated at 16: 00-24: 00 of 2300 years, 9 months and 22 days to extract magnesium with preset required yield, and the total electricity charge is 1500 yuan. And calculating the scheme with the minimum total electric charge to be 00: 00-08: 00 in 2300 years, 9 months and 22 days to operate the desalination structure in the magnesium extraction device to obtain seawater desalination residual liquid, and then operating the extraction structure in the magnesium extraction device to extract magnesium with the preset required yield at 16: 00-24: 00 in 2300 years, 9 months and 22 days, wherein the total electric charge is 1200 yuan. And if the plan with the minimum total electricity charge is inconsistent with the original production plan, adjusting the production plan to the plan with the minimum total electricity charge, namely operating the desalination structure in the magnesium extraction device at 00: 00-08: 00 of 22 days in 9 and 22 months in 2300 years to obtain seawater desalination residual liquid, and operating the extraction structure in the magnesium extraction device at 16: 00-24: 00 of 22 days in 9 and 22 months in 2300 years to extract magnesium with preset required yield.
FIG. 7 is a schematic diagram illustrating the determination of a production plan in accordance with some embodiments of the present description.
As shown in fig. 7, a candidate pressure value 703 may be determined according to the seawater temperature information 701 and the seawater concentration information 702, and the boost power consumption 704 may be determined according to the candidate pressure value 703. For more details on determining the candidate pressure value and the boosting power consumption, refer to fig. 5 and the related description thereof, which are not repeated herein.
The seawater temperature information 701, the seawater concentration information 702 and the candidate pressure value 703 are used as input of a desalination model 705, and desalination efficiency 706, water yield 707 and desalinated water concentration 708 can be obtained.
In some embodiments, the desalination model may be implemented based on Support Vector Regression (SVR). The desalination model can be obtained by training according to historical data.
For example, multiple sets of historical data are selected, wherein each set of historical data comprises historical seawater temperature information, historical seawater concentration information, historical candidate pressure values, historical desalination efficiency, historical water yield and historical desalinated water concentration; selecting a part of historical data as a training set, and selecting another part of historical data as a test set; taking historical seawater temperature information, historical seawater concentration information and historical candidate pressure values in each piece of historical data of a training set as training samples, taking historical desalination efficiency, historical water yield and historical desalination water concentration in each piece of historical data of the training set as labels of the training samples, and training a desalination model based on regression of a support vector machine; testing the trained desalination model by using a training set to obtain a test result; and when the test result indicates that the trained desalination model can determine corresponding historical candidate pressure value, historical desalination efficiency, historical water yield and historical desalinated water concentration based on the historical seawater temperature information and the historical seawater concentration information, determining that the trained desalination model can be used for predicting the candidate pressure value, the desalination efficiency, the water yield and the desalinated water concentration.
From the boost power consumption 704 and the desalination efficiency 706, a first power consumption 707 may be determined. For more details on determining the first power consumption, refer to fig. 4 and the related description thereof, which are not repeated herein.
The second power consumption 711 can be obtained by using the water yield 707, the desalinated water concentration 708, and the ambient temperature 709 as inputs of the extracted power consumption model 710.
In some embodiments, extracting the power consumption model may also be implemented based on support vector machine regression. The extracted power consumption model can be obtained according to historical data training.
For example, a plurality of historical data are selected, and each historical data comprises a historical water yield, a historical desalted water concentration, a historical environmental temperature and a historical second power consumption; selecting a part of historical data as a training set, and selecting another part of historical data as a test set; taking the historical water yield, the historical desalted water concentration and the historical environment temperature in each piece of historical data of a training set as training samples, taking the historical second power consumption in each piece of historical data of the training set as labels of the training samples, and training an extraction power consumption model based on regression of a support vector machine; testing the trained extracted power consumption model by using a training set to obtain a test result; and when the test result indicates that the trained extracted power consumption model can determine the corresponding historical second power consumption based on the historical water yield, the historical desalted water concentration and the historical environmental temperature, determining that the trained extracted power consumption model can be used for predicting the second power consumption.
From the first power consumption 707 and the second power consumption 711, a production plan 712 can be determined. For more details on determining the production plan, refer to fig. 3 and the related description thereof, which are not repeated herein.
The specification also provides a system for extracting magnesium based on seawater, which comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring temperature information and concentration information of seawater in a plurality of sub-time periods within a preset time period; a first determining module, configured to determine, based on the temperature information and the concentration information, that a desalination structure in the magnesium extraction device desalinates the seawater in the plurality of sub-time periods to obtain desalinated water and first power consumption required by a seawater desalination residual liquid; a second determining module, configured to determine a second power consumption required by the extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate in the plurality of sub-time periods; a third determination module to determine a production schedule for the magnesium extraction device to extract magnesium based on seawater based on the first power consumption of the plurality of sub-time periods and the second power consumption of the plurality of sub-time periods.
The present specification also provides a computer-readable storage medium. The storage medium stores computer instructions, and after the computer reads the computer instructions in the storage medium, the computer realizes the method for extracting magnesium based on seawater.
The beneficial effects that may be brought by the embodiments of the present description include, but are not limited to: 1) according to the temperature information and the concentration information of a plurality of sub-time periods in the preset time period, the corresponding first power consumption and second power consumption of each sub-time period under different temperature information and concentration information conditions are determined, the time period with the minimum sum of the first power consumption and the second power consumption is used as the time period in the production plan, the cost for extracting magnesium can be reduced, and the waste of resources is reduced; 2) based on the electricity price information, the production plan is adjusted, and the cost for extracting magnesium is further reduced; 3) and forecasting the desalination efficiency, the water yield, the desalinated water concentration, the second power consumption and the like based on the SVR, wherein the model training needs less sample data, the convergence speed is high, and the trained model can be obtained quickly. Meanwhile, the SVR has strict theoretical and mathematical basis, and based on the principle of minimizing structural risk, the algorithm has global optimality, excellent generalization capability, good training effect and higher prediction accuracy of the obtained model.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.
Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.
Additionally, the order in which the elements and sequences of the process are recited in the specification, the use of alphanumeric characters, or other designations, is not intended to limit the order in which the processes and methods of the specification occur, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document does not conform to or conflict with the contents of the present specification, it is to be understood that the application history document, as used herein in the present specification or appended claims, is intended to define the broadest scope of the present specification (whether presently or later in the specification) rather than the broadest scope of the present specification. It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.
Claims (10)
1. A method for extracting magnesium based on seawater is characterized by comprising the following steps:
acquiring temperature information and concentration information of seawater in a plurality of sub-time periods within a preset time period;
determining, based on the temperature information and the concentration information, a first power consumption required by a desalination structure in a magnesium extraction device to desalinate the seawater in the plurality of sub-time periods to obtain desalinated water and a seawater desalination raffinate;
determining a second power consumption required by an extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate in the plurality of sub-time periods;
determining a production plan for the magnesium extraction device to extract magnesium based on seawater based on the first power consumption of the plurality of sub-periods and the second power consumption of the plurality of sub-periods.
2. The method of claim 1, wherein determining a first amount of power required by a desalination structure in a magnesium extraction plant to desalinate the seawater in the plurality of sub-periods of time to obtain desalinated water and a desalinated seawater raffinate based on the temperature information and the concentration information comprises:
for one of the plurality of sub-periods,
determining candidate pressure values required for desalination treatment of the seawater in the sub-time periods based on the temperature information and the concentration information of the sub-time periods;
determining a pressurization power consumption required for pressurizing the seawater in the sub-time period based on the candidate pressure values of the sub-time period;
determining desalination efficiency for desalinating the seawater in the sub-time period based on the temperature information, the concentration information and the candidate pressure values of the sub-time period;
determining the first power consumption amount for the sub-time period based on the desalination efficiency and the boosting power consumption for the sub-time period.
3. The method of claim 1, wherein said determining a second amount of power required by an extraction structure in said magnesium extraction device to extract magnesium from said seawater desalination raffinate during said plurality of sub-periods of time comprises:
for one of the plurality of sub-periods,
acquiring the ambient temperature of the magnesium extraction device in the sub-time period;
acquiring the water yield and the desalinated water concentration of the seawater desalinated in the sub-time period;
and determining the second power consumption of the sub-time period by taking the water yield, the desalinated water concentration and the ambient temperature of the sub-time period as input of an extraction power consumption model.
4. The method of claim 1, further comprising:
acquiring electricity price information;
adjusting the production plan based on the electricity price information.
5. An apparatus for extracting magnesium based on seawater, comprising:
the device comprises a desalination structure, an extraction structure and a processor, wherein the desalination structure and the extraction structure are respectively connected with the processor;
the desalination structure is used for desalinating the seawater to obtain desalinated water and seawater desalination residual liquid;
the extraction structure is used for extracting magnesium from the seawater desalination raffinate;
the processor is configured to:
acquiring temperature information and concentration information of the seawater in a plurality of sub-time periods within a predicted time period;
determining a first power consumption required for desalinating the seawater in a plurality of sub-time periods within a predicted time period to obtain desalinated water and seawater desalination raffinate based on the temperature information and the concentration information;
determining a second power consumption required for extracting magnesium from the seawater desalination raffinate in a plurality of sub-time periods within the expected time period;
determining a production plan for extracting magnesium based on seawater based on the first power consumption of the plurality of sub-periods and the second power consumption of the plurality of sub-periods.
6. The apparatus of claim 5, wherein the processor is specifically configured to:
for one of the plurality of sub-periods,
determining candidate pressure values required for desalination treatment of the seawater in the sub-time periods based on the temperature information and the concentration information of the sub-time periods;
determining a pressurization power consumption required for pressurizing the seawater in the sub-time period based on the candidate pressure values of the sub-time period;
determining desalination efficiency for desalinating the seawater in the sub-time period based on the temperature information, the concentration information and the candidate pressure values of the sub-time period;
determining the first power consumption amount for the sub-time period based on the desalination efficiency and the boosting power consumption for the sub-time period.
7. The apparatus of claim 5, wherein the processor is specifically configured to:
for one of the plurality of sub-periods,
acquiring the ambient temperature of the magnesium extraction device in the sub-time period;
acquiring the water yield and the desalinated water concentration of the seawater desalinated in the sub-time period;
and determining the second power consumption of the sub-time period by taking the water yield, the desalinated water concentration and the ambient temperature of the sub-time period as input of an extraction power consumption model.
8. The apparatus of claim 5, wherein the processor is further configured to:
acquiring electricity price information;
adjusting the production plan based on the electricity price information.
9. A system for extracting magnesium based on seawater is characterized by comprising
The acquisition module is used for acquiring temperature information and concentration information of the seawater in a plurality of sub-time periods within a preset time period;
a first determining module, configured to determine, based on the temperature information and the concentration information, that a desalination structure in the magnesium extraction device desalinates the seawater in the plurality of sub-time periods to obtain desalinated water and first power consumption required by a seawater desalination residual liquid;
a second determining module, configured to determine a second power consumption required by the extraction structure in the magnesium extraction device to extract magnesium from the seawater desalination raffinate in the plurality of sub-time periods;
a third determination module to determine a production schedule for the magnesium extraction device to extract magnesium based on seawater based on the first power consumption of the plurality of sub-time periods and the second power consumption of the plurality of sub-time periods.
10. A computer-readable storage medium storing computer instructions, which when read by a computer, cause the computer to perform the method for extracting magnesium based on seawater according to any one of claims 1 to 4.
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| CN106006803A (en) * | 2016-06-21 | 2016-10-12 | 首钢京唐钢铁联合有限责任公司 | Seawater desalination system and method |
| CN206538490U (en) * | 2017-02-09 | 2017-10-03 | 杭州上拓环境科技股份有限公司 | A kind of cleaning of sea water desalinization strong brine puies forward magnesium system |
| CN112464471A (en) * | 2020-11-25 | 2021-03-09 | 国网辽宁省电力有限公司 | Modeling method of reverse osmosis seawater desalination system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106006803A (en) * | 2016-06-21 | 2016-10-12 | 首钢京唐钢铁联合有限责任公司 | Seawater desalination system and method |
| CN206538490U (en) * | 2017-02-09 | 2017-10-03 | 杭州上拓环境科技股份有限公司 | A kind of cleaning of sea water desalinization strong brine puies forward magnesium system |
| CN112464471A (en) * | 2020-11-25 | 2021-03-09 | 国网辽宁省电力有限公司 | Modeling method of reverse osmosis seawater desalination system |
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